Annals of Oncology Advance Access published online on November 9, 2009
Annals of Oncology, doi:10.1093/annonc/mdp492
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Triple-negative breast cancer—current status and future directions
1 Westdeutsche Studiengruppe GmbH, Mönchengladbach
2 Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum Münster, Münster
3 Brustzentrum Köln/Frechen, Uniklinikum Köln, Köln, Germany
4 Department of Breast Medical Oncology, MD Anderson Cancer Center, Houston, TX, USA
* Correspondence to: Dr O. Gluz, Westdeutsche Studiengruppe gGmbH, Ludwig-Weber-Straße 15, 41061 Mönchengladbach, Germany
| abstract |
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Triple-negative breast cancer (TNBC) is defined by a lack of expression of both estrogen and progesterone receptor as well as human epidermal growth factor receptor 2. It is characterized by distinct molecular, histological and clinical features including a particularly unfavorable prognosis despite increased sensitivity to standard cytotoxic chemotherapy regimens. TNBC is highly though not completely concordant with various definitions of basal-like breast cancer (BLBC) defined by high-throughput gene expression analyses. The lack in complete concordance may in part be explained by both BLBC and TNBC comprising entities that in themselves are heterogeneous. Numerous efforts are currently being undertaken to improve prognosis for patients with TNBC. They comprise both optimization of choice and scheduling of common cytotoxic agents (i.e. addition of platinum salts or dose intensification strategies) and introduction of novel agents (i.e. poly-ADP-ribose-polymerase-1 inhibitors, agents targeting the epidermal growth factor receptor, multityrosine kinase inhibitors or antiangiogenic agents).
basal-like breast cancer, gene expression profiling, molecular heterogeneity, targeted agents, triple-negative breast cancer
| introduction |
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Breast cancer (BC) is the most common female cancer. More than 1 million women worldwide are affected by this diagnosis and
400 000 patients die due to the disease every year. Implementation of mammography screening as well as improvement of adjuvant systemic treatment and a decrease in hormone replacement therapy use have resulted in a decrease in both BC incidence and particularly mortality in developed countries over the past 5 years [1]; worldwide, however, the incidence of BC is nevertheless increasing. | molecular heterogeneity of BC |
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definition of triple-negative BC
BC is increasingly recognized as a heterogeneous disease exhibiting substantial differences with regard to biological behavior and requiring distinct therapeutic interventions. Steroid hormone receptors (HR) such as estrogen receptor (ER) and progesterone receptor (PgR) in concert with the oncogene ErbB-2/human epidermal growth factor receptor 2 (HER-2) are critical determinants of these BC subtypes. While HR are thought to mirror a good prognosis [2], expression of HER-2 has long been understood as an unfavorable prognostic feature [3]. However, since the introduction of trastuzumab as a potent therapeutic approach in HER-2-positive BC, HER-2 expression is perceived as a favorable predictive rather than negative prognostic factor [4–6].
Triple-negative breast cancer (TNBC) is characterized by a lack of expression of both ER and PgR as well as HER-2. Thus, to date, chemotherapy remains the only possible therapeutic option in the adjuvant or metastatic setting in the TNBC. A recent analysis indicates that TNBC carries a distinct molecular profile when compared with HR-positive BC. Investigating gene expression profiles of 764 patients randomized in the E2197 study, the authors demonstrated that 269 of 371 genes associated with kinase activity, cell division, proliferation, intracellular DNA repair, antiapoptosis, and transcriptional regulation were differentially expressed between both subtypes [7].
definition of basal-like BC
In their pivotal paper, Perou et al. [8] have demonstrated that high-throughout gene expression analysis carries the potential to capture the heterogeneity of the disease and distinguish BC subclasses solely on the basis of differences regarding their gene expression profile. They demonstrated that expression of ER and HER-2 represents two major determinants of BC molecular subgroups. Using unsupervised hierarchical clustering, Sorlie et al. [9] pioneered the establishment of a BC classification system distinguishing five distinct BC molecular subgroups. Luminal A and B subtypes were identified to be largely ER positive. In contrast, three groups were characterized by low ER expression and denominated as follows:
- basal-like breast cancer (BLBC) being characterized by lack of expression of ER, PgR, HER-2 (i.e. triple negativity) as well as an increased expression of basal (myoepithelial) cytokeratins (CKs) such as CK5/6 and CK17,
- erbB2-like/HER-2-like BCs showing an increased high expression of genes associated with the erbB2 amplicon and
- normal-like BCs sharing molecular features of normal breast tissue. This group has recently been indicated to represent an artifact of having a high percentage of contamination of normal breast tissue in the specimen rather than a distinct BC subtype [10]. However, detailed histological, immunohistochemical, and genomic data will be required to support this hypothesis.
The BLBC/TNBC and erbB2 subtypes in particular have been reproduced in subsequent reports. For instance, Sorlie et al. [9] refined the molecular classification by using an intrinsic gene set containing 456 complementary DNA clones in 78 T3/4 tumors, 51 of which were treated on a neoadjuvant basis with doxorubicin monotherapy. Importantly, both basal-like (BL) and HER-2-like subgroups were associated with a significantly decreased survival in comparison to the luminal A subgroup which carried the most favorable prognosis.
The term basal-like BC stems from the resemblance of its expression pattern to the one observed among normal basal/myoepithelial cells of the breast which comprise high-molecular-weight basal CKs (CK5/6, CK14, CK17), vimentin, p-cadherin,
B crystalline, caveolins 1 and 2, as well as the epidermal growth factor receptor (EGFR). Consequently, it has been indicated that BLBCs arise from the outer (basal) layer of normal breast ducts (i.e. myoepithelial cells) or perhaps more accurately originate from a stem cell precursor of basal myoepithelial cells. In contrast, luminal cancers may originate from a more differentiated luminal precursor cell [11]. A number of subsequent reports support this hypothesis:
- Increased expression of keratin 14 in contrast to low expression of keratin 18 are characteristics of cells carrying the potential to self-renew and differentiate into both luminal and myoepithelial cells [12].
- BLBCs commonly express an embryonic stem-cell signature [13].
- BLBCs exhibit well-established characteristics of epithelial–mesenchymal transition, such as loss of epithelial characteristics and acquisition of a mesenchymal phenotype [14].
- BLBCs frequently express a CD44+/CD24– phenotype which has been associated with a stem-cell phenotype [15].
| association between TNBC and BLBC |
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Despite the common understanding that BLBC carries unfavorable (and therefore clinically relevant) prognostic features, no widely accepted and clinically usable (i.e. robust, reproducible and standardized) assay is currently available to define BLBC status and there is good but imperfect concordance between the TNBC and BLBC demonstrating that heterogeneity within groups defined by either one of the above classification methods poses a significant limitation to each method.
concordance between TNBC and BLBC phenotype
Several studies have demonstrated that BL tumors are not necessarily triple negative (TN). For instance, up to 15%–45% of BLBCs have been shown to express ER [9, 16] and 14% of BLBCs to express HER-2 [16], indicating that not all BLBCs regardless of classification method are TN. Conversely, while 16%–44% of TN cases are negative for all basal markers (CK5/6, CK14, EGFR) [17, 18], 7.3% of non-TNBCs do express these [19]. In later studies 71% of TNBCs were reported to be positive for at least one basal marker (i.e. CK5/6, CK17, CK14, EGFR) [20].
Birnbaum et al. compared the definition of TNBC with a more complex gene expression-based definition of BL status applying a 500-gene set to 172 cases of TNBC; 123 of these were BL (71.5%). Conversely, 160 BL tumors included 37 cases of non-TNBC [21]. A retrospective analysis of the WSG AM 01 high-risk BC trial corroborates these results; in this study, only 33% of 66 TNBCs were clustered as BL by k-clustering of 24 protein expression profiles; importantly, 44% of TNBCs were completely negative for all measured basal markers (i.e. EGFR, CK5 and 17, vimentin, c-kit) [22].
heterogeneity within TNBC and BLBC
Scientific efforts have aimed for an identification of (immunohistochemical) markers in conjunction with TNBC status hypothesizing that TNBC is a heterogeneous entity with BLBC representing only one presumable subtype.
For instance, EGFR expression may be found among 57% of BL but only 8% of non-BLBC cases [23]. Nielsen et al. [24] indicated a so-called five-marker method (TN and either EGFR or CK5/6 positive), which identified gene expression-based BLBC with a sensitivity of 76% and a specificity of 100%. Conversely, only 85% of TN tumors were truly BL. Recently, in a retrospective analysis of 3744 cases, 17% and 9% stained as TN and BL (by the five-marker method) [25].
Recent evidence indicates that several further divergent pathways may be active within TNBC. So Sparano et al. [26] identified that expression of growth factor receptor-bound protein 7 (a key element in cell signaling, motility and migration) was lower among TNBCs and significantly associated with outcome in multivariate analysis.
In summary, divergences of BL and TNBC may be explained by the existence of two distinct subtypes within the TN phenotype, i.e.
- a gene expression-based BL versus a normal-like subtype (as defined by Sorlie et al. [9]) or
- an immunohistochemistry-based basal marker-positive [27] versus a multiple marker-negative subtype [22].
Most importantly, while the predictive impact of conventional ER, PgR and HER-2 measurements in the clinical setting is relatively clear, the clinical significance of molecular class remains to be determined. Non-BL TNBCs may carry a more favorable prognosis and increased chemotherapy sensitivity [9, 16, 20]; however, to date, there is no convincing evidence that stratification into molecular classes leads to more appropriate treatment recommendations and should yet be considered investigational.
| histological presentation of BLBC/TNBC |
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More than 90% of BLBCs/TNBCs exhibit an invasive ductal histology and high histological grade, present with high mitotic index and carry central necrotic zones and pushing borders as well as a conspicuous lymphocytic infiltrate [28–33]. Additional characteristics of BLBC are frequent metaplastic elements and medullary/atypical medullary features [28,29,34,35]. Recent reports confirm that very aggressive metaplastic tumors are BL by expression analysis [36].
| epidemiology and risk factors |
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The epidemiological risk factors for TNBC compared with non-TNBC appear to differ significantly (Table 1). Overall, the prevalence of TNBC in large unselected breast cancer patient cohorts is
11%–20% [17, 25, 33], whereas in selected cohorts of patients with advanced BC or patients of African-American ethnicity, TNBC may be diagnosed among as many as 23%–28% of all patients [37, 39, 52]. The close correlation with African-American ethnicity seems to be independent of an increased frequency of obesity in this patient population or age [53].
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| diagnostic patterns |
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Rare scientific data indicate that a reduced incidence of microcalcifications and peritumoral ductal carcinoma in situ (DCIS) represent typical mammographic characteristics comprise [33, 54]. Consistent with its more aggressive biology, this BC subtype very often manifests itself as an interval cancer [i.e. diagnosed between (screening) mammograms] [33, 42, 55]. Furthermore, unifocality, mass lesion type, smooth mass margin, rim enhancement, persistent enhancement pattern, and very high intratumoral signal intensity on T2-weighted magnetic resonance images are typical features associated with TNBC [56]. Magnetic resonance imaging (MRI) carries a particular potential to predict response to neoadjuvant chemotherapy in TNBC [57, 58]. Furthermore, TN breast tumors show enhanced 2-[fluorine-18]fluoro-2-deoxy-D-glucose (FDG) uptake allowing for detection of TNBC with a high sensitivity by using FDG–positron emission tomography (FDG–PET) [59].
| outcome in TNBC |
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survival
TNBC accounts for a disproportionate number of BC deaths; the majority of studies indicate a negative impact of a TN (on the basis of data of thousands of patients) or BL (defined by a few molecular studies) phenotype on patient prognosis [17, 24, 37, 39, 44, 60–62]. In numerous randomized trials, patients with TN [63, 64] or BL [65] tumors treated by anthracyclines and taxanes experience a significantly decreased survival compared with patients with other tumor types. Importantly, the prognostic effect of TNBC is independent of poor grade, nodal status, tumor size and treatment [44, 63]. The aggressiveness of TNBC is further indicated by the fact that (i) the peak risk of recurrence occurs within the first 3 years after initial treatment of the disease with the majority of deaths occurring in the first 5 years [18, 42] and (ii) after diagnosis of metastatic disease, a significantly shorter survival was observed in both BL [28] and TNBC [42, 45]. Conversely, the risk for late recurrences (i.e. beyond 5 years of diagnosis) is decreased by 50% compared with HR-positive disease [27]. However, differences between TNBC and non-TNBC regarding overall survival (OS) wear off at 10 years of follow-up.
Cheang et al. recently hypothesized that the negative impact of TNBC on survival may be affected only by the subgroup of basal tumors within the TNBC group. Using the five-marker method described above, patients with BL TNBC had significantly decreased BC-specific OS compared with patients with the remaining non-basal TNBC; among patients treated by adjuvant anthracycline-based chemotherapy, the addition of basal markers allowed for identification of a subgroup with a significantly increased risk of relapse [25, 66]. These results are in line with other studies [27], particularly in node-negative patients [17].
local and locoregional recurrence
Although the association between TNBC/BLBC and a less favorable prognosis has been clearly established, the effect on risk of local and distant recurrence remains less clear. Several studies have supported a significantly increased rate of visceral versus bone metastasis [47, 67] among patients with TNBC compared with non-TNBC. In the largest report to date, data on 12 858 patients indicate an increased risk for lung [odds ratio (OR) 2.27] and brain (OR 5.32) metastasis as first site of recurrence and lower risk for bone recurrence (OR 0.23) in patients with TNBC [33]. For further details see Table 2.
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incidence of central nervous system metastases
Patients with TNBC compared with other subtypes reportedly experience an increased risk of central nervous system metastases (CM) of 6%–46% of those experiencing metastatic spread of disease [75–77]. Similarly, in a single-institution study among 3193 patients, a significantly elevated risk of CM among patients with TNBC and HER-2-positive BC compared with other phenotypes has been reported (HR 4.5 and 4.9 for TNBC and HER-2+, respectively) [76]; the risk of CM was particularly pronounced among young patients with node-positive disease: the incidence of CM among patients <50 years of age and node positive was 20.0% for TNBC compared with 4.8% for HER-2 positive. Importantly, diagnosis of CM among patients with TNBC compared with non-TNBC was followed by as shorter median survival of 3–5 versus 7–12 months, respectively [75, 76, 78, 79]. CM as first site of distant relapse may occur among as many as 3.5%–14% of patients with TNBC [75, 77]. Central nervous system (CNS) relapse in patients with TNBC showed survival times as low as 2.9 and 5.8 months in patients with CNS relapse as the first site and later site, respectively [77]. Similarly, an OS of 3 and 4 months after diagnosis of cerebral metastasis was shown in the presence or absence of systemic therapy, respectively [80]. Recently, a nomogram to calculate the probability for developing cerebral metastasis, particularly for patients with TNBC has been indicated [81]; the clinical implications of which, however, remain unclear.
| clinically relevant aspects of molecular biology of TNBC: mutation in BRCA and p53 |
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BRCA1 plays a central role in repair of double-stranded DNA breaks; a lack of BRCA1 therefore results in genomic instability thereby predisposing to the development of malignant disease. TNBC/BLBC phenotype is particularly associated with BRCA1 mutations [82]. Similarly, about three-quarters of BRCA1-related BCs exhibit a BL phenotype by gene expression microarray [9] or immunohistochemistry [83], particularly among younger patients and patients with a family history of BC who very often also present with p53 mutations. Conversely, in an unselected cohort of 177 patients with TNBC as many as 11.3% were demonstrated to carry a BRCA1 mutation [84]. Among patients <40–50 years of age, the incidence of BRCA1 mutations is even higher (11%–29%) [84, 85].
In gene expression-based analyses, all BRCA1-associated cases were profiled into the BL subtype, together with sporadic TNBC [60]. Of note, frequent cytogenetic aberrations typically found among BRCA1 mutation carriers such as deletion of 5q are found at a similar frequency in sporadic TNBC [86, 87].
p53 is part of a cell-cycle checkpoint, exhibiting a molecular response to DNA damage resulting in apoptosis. In several studies, p53 is mutated in up to 82% of BLBCs by gene [9] as well as protein [23, 61] expression analysis. This is reflected by an increased genetic instability, specific cytogenetic changes, and higher loss of heterozygosity (LOH) frequency in BLBC/TNBC [23]. For instance, gain of 6p21–p25 as well as loss of 5q11 are common findings among BLBC [88], the latter carrying several DNA-repair and suppressor genes. Interestingly, the spectrum of p53 mutations among BRCA1-mutated TNBC is distinct from that occurring in sporadic TNBC [89]. The ataxia–telangiectasia-mutated kinase is aberrantly reduced similarly in both BRCA1-mutant (33%) and BRCA2-mutant (30%) hereditary BCs as well as in sporadic TNBC (20%) compared with only 10% among others [90].
Of note, cases of sporadic TNBC also share biological as well as histological features with BCs in BRCA1 mutation carriers such as central necrosis, lymphocytic infiltrate, genomic instability, and loss of LOH [91, 92]. Furthermore, nongenetic BRCA1 dysfunction may occur among sporadic BLBCs [93]. Conversely, a significant association of BRCA1-mutated cases with typical molecular features of TNBC, such as EGFR/CK 5/6 expression, ER/HER-2 negativity, and p53 mutations [82, 94] has been reported.
Finally, although the majority of BCs in BRCA1 mutation carriers carry a TN/BL phenotype, it is important to recognize that the majority of TNBC is in fact sporadic. Consequently, Collins et al. [94] demonstrated that basal markers do not sufficiently predict for BRCA1 mutations.
| chemotherapy in BLBC/TNBC |
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chemosensitivity and the TN paradox
Several studies have shown that TNBC/BLBC is associated with an increased response rate to (neoadjuvant) chemotherapy. In vitro studies indicated distinct response patterns to 5-fluorouracil (5-FU) and anthracycline chemotherapy in luminal and basal cell lines [95]. Rouzier et al. [16] stratified 82 patients according to the microarray-based molecular classification developed by Perou et al. In both BL and HER-2 subtypes, the authors showed pCR rates of 45% to preoperative paclitaxel/FAC chemotherapy compared with only 6% in luminal subtypes [16]. Similarly, Carey et al. reported clinical and pathological response rates for neoadjuvant anthracycline–cyclophosphamide-based (AC) chemotherapy as being significantly higher in ER- and HER-2-negative patients compared with other subtypes. Despite this, BL and HER-2-positive/ER-negative subtypes experienced a significantly decreased disease-free survival (DFS) (P = 0.04) and OS (P = 0.02) compared with patients with ER-positive luminal subtypes [62].
In the largest study to date regarding this issue, Liedtke et al. examined the association between the TNBC and response to several regimens of neoadjuvant chemotherapy as well as OS in 1118 patients with early-stage BC. Again, although an increased pCR rate was observed for TNBC, patients in the TNBC subgroup showed decreased survival rates compared with non-TNBC. Interestingly, patients experiencing pCR following neoadjuvant chemotherapy had an excellent OS regardless of receptor expression; in contrast, patients who had residual invasive carcinoma after completion of neoadjuvant chemotherapy had a significantly shorter OS associated with TNBC compared with non-TNBC [47]. This clearly demonstrates that the poor OS of TNBC is derived from the fraction of patients with chemoresistant disease unfortunately representing >50% of TNBC.
This observation underscores two important issues. First, novel diagnostic tools need to be developed allowing for the identification of those patients that are not sensitive to existing chemotherapies and are in need of alternative treatment options. Secondly and consequently, these patients require the development of novel therapeutic tools.
chemosensitivity and tumor grade in TNBC
Recently, a multigene index representing a genomic correlate genomic grade index (GGI) of histological tumor grade has been established [96, 97]. High GGI is predictive of response to chemotherapy across all BCs but since most TNBCs have high GGI, its predictive value within this subset is limited. Also, a subgroup of TNBC shows resistance to taxane–anthracycline-containing chemotherapy despite high grade [98] indicating that some TNBCs carry additional molecular features overriding the increased chemosensitivity generally associated with high tumor grade. For instance, newer data support a presumable association between response to chemotherapy and the extent of the local immune reaction within the TN tumor indicating tumor-infiltrating lymphocytes and level of tumor cell apoptosis as predictive markers for response to neoadjuvant chemotherapy [99].
TN and BL status as predictive markers for chemotherapy sensitivity
The I-SPY trial is a multicenter trial designed specifically to identify predictive markers for both pCR and survival among women with locally advanced BC and is the first trial comparing the predictive value of TNBC and BL status [100]. Recent analyses by Esserman et al. demonstrated that patients with TNBC as well as BLBC can expect similarly favorable pCR rates of 33% and 34%, respectively, following anthracycline–taxane-based neoadjuvant chemotherapy which are significantly increased compared with those in HR-positive/luminal disease. Response to neoadjuvant chemotherapy measured either by dichotomization into pCR/residual disease (RD) or as a four-tired response score [101] provided significant prognostic information among patients with BLBC: patients with excellent response to neoadjuvant chemotherapy had an excellent relapse-free survival (RFS); patients with extensive RD (RCB-III) died within 18 months (P < 0.0001) [100].
chemosensitivity to anthracyclines and cyclophosphamide
Whereas patients with HER-2-overexpressing and/or topoisomerase-IIa-abnormal BCs have repeatedly been indicated to derive the most pronounced benefit from anthracycline-containing chemotherapy [102, 103]; results on the efficacy of anthracycline-based regimens in patients with TNBC remain controversial. A recent meta-analysis from four studies investigating anthracycline-containing regimens versus cyclophosphamide–methotrexate–5-fluorouracil (CMF) showed that although benefit from anthracyclines was pronounced among patients with HER-2-positive disease, patients with TNBC still experienced a substantial 23% reduction in the risk of disease relapse (P = 0.11) [104]. In the neoadjuvant setting, anthracycline-based regimens both with [16] and without taxanes [62] in this group are similarly efficacious. For instance, pCR rates after four to six courses of cyclophosphamide–epirubicin–5-fluorouracil (CEF) were 17% for patients with TNBC [105]. Of note, Berrada et al. studying 823 patients receiving six cycles of CEF or no chemotherapy identified p53+/BLBC as one subgroup deriving particular benefit from this chemotherapy [106].
Similarly, as enhanced response rates to anthracyclines may be achieved by increasing either dose intensity/density of the applied chemotherapy, an increase in pCR rate from 13% to 47% by intensifying conventional neoadjuvant FE100C chemotherapy to E70C700 mg/m2 (d1+8) in combination with standard 5-FU (d1-5) has been reported [107]. The WSG AM 01 trial randomly assigned patients with more than nine involved lymph nodes to receive either dose-dense conventional chemotherapy (i.e. 4x EC followed by 3x CMF q2w) or a rapidly cycled tandem high-dose regimen (i.e. 2x EC q2w followed by 2x Epirubicin90Cyclophosphamide3000Thiotepa400 q3w). In this study, young patients with TNBC and/or G3 tumors derived greater benefit from the rapidly cycled tandem approach than from the dose-dense conventional regimen. The high-dose approach lead to 5-year event-free survival rates as high as 71% in patients with TNBC compared with only 26% in TNBC patients treated by conventional dose-dense chemotherapy [108].
Of note, a retrospective analysis from the MA5 trial randomly assigning patients to receive either CMF or CEF adjuvant chemotherapy indicated an increased 5-year DFS for the former (71% versus 51%, respectively) among patients with BLBC; the test for interaction between BL phenotype and treatment arm reached borderline significance (P = 0.06) indicating that patients with TNBC may not derive a particular benefit from anthracyclines [109]. Although these retrospective results challenge the role of anthracyclines in adjuvant therapy for TNBC/BLBC, additional data will be needed for final clarification of this issue.
chemosensitivity to taxanes
To date, there are limited data from randomized clinical trials investigating the impact of implementing taxanes into the adjuvant setting in patients with TNBC. Hayes et al. [110] illustrated that patients with either TN or HER-2-positive BC derived the greatest benefit from the addition of four cycles of paclitaxel to four cycles of escalating doses of doxorubicin combined with a fixed dose of cyclophosphamide (AC) in 3170 node-positive patients. Similarly, Citron et al. showed that the same dose-dense schedule particularly benefited patients with ER-negative tumors at an overall relative reduction in the hazard of recurrence of 32% and 19% for ER-negative and ER-positive BCs, respectively. However, this difference by ER status did not reach statistical significance [111].
In a retrospective analysis regarding the PACS 01 trial comparing six cycles of FE100C to three cycles of FE100C followed by three cycles of docetaxel in node-positive BC, 33 markers were applied to stratify patients into two distinct molecular subgroups (basal and luminal). Despite a significantly overall decreased DFS, patients with BL compared with luminal tumors benefited more from the addition of docetaxel to standard FEC100 chemotherapy (HR = 0.65; P = 0.009) [65].
The BCIRG 001 trial compared six cycles of TAC versus CAF in node-positive BC; in this study, patients with TNBC experienced a 3-year DFS rate of 73.5% after six cycles of TAC compared with 60% after six cycles of FAC (HR = 0.50, P = 0.051) [63]. These data are corroborated by an excellent pCR to neoadjuvant six or eight cycles of TAC (supplemented by capecitabine/vinorelbine in those patients not responding after two cycles of TAC) among patients with TNBC in the GEPARTRIO trial (40.7% versus 31.6%), particularly in patients <40 years of age (60.0%) [112]. Similarly, results from the GEICAM 9906 trial show that eight cycles of weekly paclitaxel after four cycles of CEF versus six cycles of CEF are significantly more effective in patients with TNBC (HR = 0.58, P = 0.025) [113]. These data on weekly paclitaxel administration are particularly interesting following presentation of the results of the trial comparing conventional 4x AC followed by 4x paclitaxel q3w versus 4x Apaclitaxel followed by 12x P weekly. A particular benefit of weekly paclitaxel was obtained for TNBC (5-year DFS 87% versus 79%, HR = 0.59, P = 0.037) [114]. This is in line with recent data regarding weekly paclitaxel after four cycles of AC indicating that the benefit of paclitaxel q1w (but not docetaxel) compared with paclitaxel q3w was pronounced in the TNBC and HR+/HER-2 subgroups [115].
In patients with metastatic TNBC resistant to anthracycline-based or taxane-based chemotherapy, Rugo et al. [116] reported improved progression-free survival (PFS 4.1 versus 2.1 months) and overall response rate (ORR 27% versus 9%) for the novel microtubule-stabilizing agent ixabepilone in combination with capecitabine compared with capecitabine alone as current standard in this situation. Similarly, in the neoadjuvant setting, a 26% pCR rate was observed among patients with TNBC [117]. As a consequence of these data, the PACS 08 trial has been designed as a randomized phase III trial evaluating the benefit of a sequential CE100F and ixabepilone chemotherapy compared with CE100F followed by three cycles of docetaxel in the adjuvant treatment of patients with TNBC.
Loss or inactivation of BRCA1 function is thought to be associated with particular sensitivity to DNA-damaging (e.g. alkylating) chemotherapy [118]. Sensitivity of BRCA1-mutated cells to microtubule agents, like taxanes or vinca alkaloids, however, remains controversial. In vitro evidence on BRCA1 genotype-specific sensitivity to commonly used chemotherapy drugs stems from both human cell line and murine tumor models indicating that BRCA1 mutations may confer resistance against taxanes [119–121]. Despite this, to date, there is no convincing clinical evidence regarding a decreased sensitivity to taxanes [45] in TNBC versus non-TNBC.
A retrospective study investigated the effect of neoadjuvant EC chemotherapy in Ashkenazi Jews. An impressive pCR rate of 92% (10 of 11 patients) was reported in hereditary (BRCA1 or BRCA2 mutated) BC compared with only 30% in 38 sporadic controls [122]. Similarly, Rodriguez et al. showed that a BRCA1 gene expression signature (as a surrogate of BRCA1 mutation status) could subdivide sporadic TNBC into two groups; the majority of responses to preoperative EC was observed among patients carrying the BRCA1 signature (four of five pathological responders) [123]. In contrast, a recent study investigating the effect of neoadjuvant CE100F in 393 patients (55 TNBCs, 14 of which had a BRCA1 mutation) reported a 44% pCR rate for patients with TNBC overall compared with only 17% for those with TNBC/BRCA1-deficient tumors indicating that BRCA1 deleterious mutations may decrease efficacy of anthracycline-based chemotherapy in patients with TNBC [124]. A very recent publication by Kriege et al. [125] shows similar response rates for 93 metastatic BRCA1 carriers for mostly used anthracycline-based and CMF chemotherapy compared with sporadic controls.
platinum-containing agents
The association of TNBC with BRCA1 mutations and dysfunctional DNA repair may indicate an increased sensitivity toward DNA-damaging agents, i.e. platinum agents. A recent preclinical study demonstrated that overexpression of p63 (a p53-related transcription factor) and p73 (p53 associated as well) is common among TN cases and associated with sensitivity to cisplatin [126].
Clinical data regarding the use of platinum agents in TNBC are still limited. A summary of these data is given in Table 3. In summary, despite an increasing amount of data indicating platinum agents as carrying particular efficacy in BLBC/TNBC, there are yet no randomized data identifying platinum-based chemotherapy as optimal regimen. Moreover, despite these encouraging results, safety concerns remain regarding these combined treatment modalities, although investigators overall report a manageable toxicity profile.
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| resistance mechanisms |
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Growth factors such as EGFR, c-kit, or p53 mutation status and several proliferative mechanisms like mitogen-activated protein kinase (MAPK) and protein kinase components of the extracellular signal-regulated kinases (ERK) pathway have been indicated as possible determinants of sensitivity to chemotherapy in TNBC [139, 140]. Furthermore, small heat-shock protein alpha B crystalline inducing epidermal growth factor-independent cell growth, migration and invasion and constitutively activating the MAPK/ERK pathway in vitro is commonly expressed in TNBC. Its expression is associated with resistance of tumors to preoperative chemotherapy (AC or AC-paclitaxel) in vivo [141]. A recently published study supports MAPK and phosphatidylinositol 3-kinase as potential targets for BLBC and also underscores the role of phosphatase and tensin homolog for response [142].
ABI-007 (nab-paclitaxel) is a novel nanoparticle albumin-bound (nab) formulation of paclitaxel [143]. Caveolin-1 is commonly found in cell membrane invaginations (caveolae) [144] providing an endocytic and exocytic compartment at the cell surface compartmentalizing a variety of signaling activities. Importantly, it may act as a mediator of transcytosis/extravasation of drugs like ABI-007. Given that caveolin-1 is frequently expressed by TNBC [145], ABI-007 may be of potential relevance regarding TNBC; however, this remains to be demonstrated in the context of clinical trials (www.clinicaltrials.goc).
| possible targeted therapies |
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Given that patients with TNBC resistant to chemotherapy are in need of effective novel therapeutic agents to prevent them from their particularly poor prognosis. Several biologically targeted agents are currently explored in this group.
PARP inhibitors
Single-strand DNA breaks are usually removed by base excision repair, of which poly-ADP-ribose-polymerase (PARP)-1 represents one of the central components. In the absence of PARP, single-strand breaks may degenerate to double-strand breaks, which cannot be repaired in BRCA1-mutated cells. Preclinical evidence indeed indicates BRCA1-null cells to be particularly sensitive to PARP1 inhibitors [146]. Furthermore, pretreatment with a PARP inhibitor can enhance the effect of cisplatin chemotherapy in vitro in preclinical models using BC cell lines [147]. Consequently, a number of clinical trials are currently being conducted with PARP inhibitors either alone or in combination with platinum-based chemotherapy, some of which have already provided promising results [148].
Results of two very important clinical trials implementing PARP inhibitors in patients with metastatic BC have recently been reported (for details see Table 4). These phase II results are promising but will need to be validated in larger possibly phase III trials.
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EGFR
TNBC is strongly associated with EGFR expression. Yet, the most benefit of tandem high-dose chemotherapy was shown among TNBCs but not in the small subgroup of EGFR-positive tumors indicating the need for additional targeted therapies in this fraction [108]. In view of the small numbers and the methodological difficulties regarding EGFR testing (e.g. determination of activated versus total expression) [152], our results need to be substantiated before definite conclusions are possible. A body of preclinical data support a synergistic effect of EGFR inhibition (e.g. by use of the tyrosine kinase inhibitor gefitinib) with chemotherapy showing improved efficacy compared with chemotherapy or targeted therapy alone [153]. In the same study, both EGFR inhibitors cetuximab and erlotinib demonstrated very limited efficacy when employed as single agents. Given the increased efficacy of platinum-based drugs in BRCA1-deficient BC and preliminary preclinical results indicating enhanced radiosensitivity by use of cetuximab [154] in BLBC/TNBC, a number of clinical trials have been designed implementing EGFR-targeted agents into the treatment of TNBC. Details of these two trials are presented as part of Table 4. In summary, on the basis of the available evidence, there is little reason to believe that either single-agent cetuximab or a small-molecule tyrosine kinase inhibitor of EGFR will show substantial single-agent activity in patients with TNBC. Efforts to examine the effect of EGFR-targeted treatments on chemotherapy sensitivity are currently being conducted. Until the results of these clinical trials are presented, it remains unknown whether EGFR-targeted agents add any value to the therapy for TNBC.
multityrosine kinase inhibitors
The multityrosine kinase inhibitor dasatinib is a small molecule that has recently been approved for the treatment of bcr-abl-mutated chronic myeloid leukemia resistant to imatinib. In vitro evidence supports the use of this small molecule particularly in subgroup of BLBC in which several tyrosine kinase receptors such as stem-cell factor receptor (c-kit) are overexpressed and/or mutated [155, 156]. A single phase II study evaluating single-agent dasatinib in patients with advanced TNBC reported modest activity, with a partial remission among two and a clinical benefit among six patients (overall clinical benefit rate 9.3%); however, a discontinuation of therapy and dose reductions weaken the results of the study [157]. Impressive preclinical data on response of TNBC xenografts to the heat-shock protein 90 inhibitor PU-H71 by inhibition of the Ras/Raf/MAPK pathway and G(2)–M phase and reduction of the invasive potential thus leading to complete response and tumor regression has also been reported [158].
antiangiogenic agents
Antiangiogenic therapy provides a further candidate mechanism for improving treatment efficacy in patients with TNBC. For instance, Linderholm et al. [159] reported increased levels of vascular endothelial growth factor (VEGF) in patients with TNBCs which were associated with shorter RFS in patients with TNBC compared with those with non-TNBC. Also, VEGF-2 has been reported by the same group as a prognostic factor among patients with TNBC indicating vascular pathways as one very interesting mechanism for targeting this BC subtype [160]. Similarly, our own data indicate a positive correlation of expression of angiogenic factors (i.e. CD31 and CD105) in high-risk BLBC (O. Gluz, A. Gaumann, A. Hartmann, et al., unpublished data). Recently, a particular association between VEGF signaling and chromosome organization related to gene gains in 6p21–22 in the TNBC phenotype was shown which may represent potential pathway targets in this subtype [161]. The monoclonal anti-VEGF antibody bevacizumab in combination with weekly paclitaxel caused a significant increase in response rates and PFS in all subgroups with metastatic BC [150]. The study of Avastin (Bevacizumab) Adjuvant Therapy in Triple Negative Breast Cancer (BEATRICE) was designed to investigate the effect of adding bevacizumab to adjuvant chemotherapy in TNBC.
Finally, sunitinib malate is an oral multitargeted tyrosine kinase inhibitor inhibiting vascular endothelial growth factor receptor, platelet-derived growth factor receptor, c-kit, and colony-stimulating factor-1 receptor. In a recently published phase II study, moderate activity of monotherapy (ORR of 16%) in metastatic disease resistant to anthracyclines and taxanes was shown with a particular impact in patients with TN and HER-2-positive tumors [162].
| current status ... TN/BL disease is a BC subtype with a significantly increased risk of relapse or disease progression as well as distinct patterns of metastatic progress, leading to early visceral and CNS involvement. However, clinical and molecular heterogeneity exists within this subtype. A substantial minority of these cancers is highly sensitive to existing chemotherapies and their survival can be excellent if treated adequately as evidenced by the good long-term survival of patients with TNBC who achieve pCR to preoperative chemotherapy. The optimal chemotherapy regimen for these cancers remains to be determined. For the time being, a standard third-generation taxane-including adjuvant chemotherapy may be the most appropriate. The role of platinum agents as adjuvant treatment is currently being defined. To date, chemotherapy and bevacizumab if available are the only currently approved therapy options for metastatic TNBC. Optimal schedule and regimens remain unclear. At present, there are no randomized data justifying omission of anthracyclines or replacement thereof by alternative agents, such as platinum agents, outside of clinical trials, particularly in the potentially curable adjuvant setting. BRCA1 and several proliferation mechanisms play a crucial role in therapy response of TNBC/BLBC and are discussed to mediate sensitivity to DNA-damaging agents (platinum, alkylating agents). Furthermore, novel targeted therapies (e.g. PARP, EGFR, c-kit and VEGF inhibitors alone or in combination with chemotherapy) are currently under investigation and have shown promising results in numerous phase II trials. ... and future directions: It seems to be plausible that the poor outcome observable among patients with TNBC can be partly attributed to BL tumors within this clinically defined subgroup; however, to date, there is no consensus regarding the methodology for defining BLBC and clinical consequences for this subtype remain unclear. There is an urgent need to identify distinct molecular features to stratify distinct BC subtypes with patients with TN disease in order to improve identification, subgrouping, and treatment of patients with TNBC. Furthermore, scientific efforts in the near future will have to focus on the incorporation of better imaging techniques (e.g. very controversial use of MRI for detection of high-grade DCIS as a precursor of TNBC [163]), especially in high-risk collectives. Furthermore, given the substantial risk of cerebral metastasis and the associated poor prognosis, innovative clinical trial concepts such as prophylactic cranial irradiation (at least in patients with chemotherapy-resistant tumors) may be justified despite the controversy [78]. Furthermore, blood–brain barrier-crossing substances such as thiotepa may be incorporated into chemotherapy regimens for TNBC specifically. We have shown that patients who do not achieve complete pathological remission have a rather poor outcome requiring alternative/additional (chemo-)therapy options rather than standard treatment. Consequently, two questions need to be addressed:
To address the first question, improved strategies required for early recognition of responders and nonresponders such as novel imagining techniques like PET [164] and/or MRI may be reevaluated in the context of TN disease. To address the second, several concepts are possible:
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| acknowledgements |
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The authors state no potential conflict of interest regarding the contents presented in this review.
Received for publication July 23, 2009. Revision received August 24, 2009. Accepted for publication September 8, 2009.
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1. Glass AG, Lacey JV Jr, Carreon JD, et al. Breast cancer incidence, 1980–2006: combined roles of menopausal hormone therapy, screening mammography, and estrogen receptor status. J Natl Cancer Inst (2007) 99:1152–1161.
2. Early Breast Cancer Trialists Collaborative Group. Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Lancet (2005) 365:1687–1717.[CrossRef][Web of Science][Medline]
3. Goldhirsch A, Wood WC, Gelber RD, et al. Progress and promise: highlights of the international expert consensus on the primary therapy of early breast cancer 2007. Ann Oncol (2007) 18:1133–1144.
4. Piccart-Gebhart MJ, Procter M, Leyland-Jones B, et al. Trastuzumab after adjuvant chemotherapy in HER2-positive breast cancer. N Engl J Med (2005) 353:1659–1672.
5. Romond EH, Perez EA, Bryant J, et al. Trastuzumab plus adjuvant chemotherapy for operable HER2-positive breast cancer. N Engl J Med (2005) 353:1673–1684.
6. Slamon DJ, Leyland-Jones B, Shak S, et al. Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2. N Engl J Med (2001) 344:783–792.
7. Sparano JA, Goldestin LJ, Childs BH, et al. Genotypic characterization of phenotypically defined triple-negative breast cancer. J Clin Oncol (Meeting Abstracts) (2009) 27. (Abstr 500).
8. Perou CM, Sorlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature (2000) 406:747.[CrossRef][Medline]
9. Sorlie T, Perou CM, Tibshirani R, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A (2001) 98:10869–10874.
10. Parker JS, Mullins M, Cheang MCU, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol (2009) 27:1160–1167.
11. Dairkee SH, Puett L, Hackett AJ. Expression of basal and luminal epithelium-specific keratins in normal, benign, and malignant breast tissue. J Natl Cancer Inst (1988) 80:691–695.
12. Shackleton M, Vaillant F, Simpson KJ, et al. Generation of a functional mammary gland from a single stem cell. Nature (2006) 439:84.[CrossRef][Medline]
13. Ben-Porath I, Thomson MW, Carey VJ, et al. An embryonic stem cell-like gene expression signature in poorly differentiated aggressive human tumors. Nat Genet (2008) 40:499.[CrossRef][Web of Science][Medline]
14. Sarrio D, Rodriguez-Pinilla SM, Hardisson D, et al. Epithelial-mesenchymal transition in breast cancer relates to the basal-like phenotype. Cancer Res (2008) 68:989–997.
15. Honeth G, Bendahl P-O, Ringner M, et al. The CD44+/CD24- phenotype is enriched in basal-like breast tumors. Breast Cancer Res (2008) 10:R53.[CrossRef][Medline]
16. Rouzier R, Perou CM, Symmans WF, et al. Breast cancer molecular subtypes respond differently to preoperative chemotherapy. Clin Cancer Res (2005) 11:5678–5685.
17. Rakha E, El-Sayed M, Green A, et al. Prognostic markers in triple-negative breast cancer. Cancer (2007) 109:25–32.[CrossRef][Web of Science][Medline]
18. Tischkowitz M, Brunet J-S, Begin L, et al. Use of immunohistochemical markers can refine prognosis in triple negative breast cancer. BMC Cancer (2007) 7:134.[CrossRef][Medline]
19. Tan D, Marchió C, Jones R, et al. Triple negative breast cancer: molecular profiling and prognostic impact in adjuvant anthracycline-treated patients. Breast Cancer Res Treat (2008) 111:27–44.[CrossRef][Web of Science][Medline]
20. Rakha EA, Elsheikh SE, Aleskandarany MA, et al. Triple-negative breast cancer: distinguishing between basal and nonbasal subtypes. Clin Cancer Res (2009) 15:2302–2310.
21. Bertucci F, Finetti P, Cervera N, et al. How basal are triple-negative breast cancers? Int J Cancer (2008) 123:236–240.[CrossRef][Web of Science][Medline]
22. Diallo-Danebrock R, Ting E, Gluz O, et al. Protein expression profiling in high-risk breast cancer patients treated with high-dose or conventional dose-dense chemotherapy. Clin Cancer Res (2007) 13:488–497.
23. Korsching E, Packeisen J, Agelopoulos K, et al. Cytogenetic alterations and cytokeratin expression patterns in breast cancer: integrating a new model of breast differentiation into cytogenetic pathways of breast carcinogenesis. Lab Invest (2002) 82:1525.[Web of Science][Medline]
24. Nielsen TO, Hsu FD, Jensen K, et al. Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma. Clin Cancer Res (2004) 10:5367–5374.
25. Cheang MCU, Voduc D, Bajdik C, et al. Basal-like breast cancer defined by five biomarkers has superior prognostic value than triple-negative phenotype. Clin Cancer Res (2008) 14:1368–1376.
26. Sparano JA, Gray R, Goldstein LJ, et al. GRB7-dependent pathways are potential therapeutic targets in triple-negative breast cancer. Cancer Res (2009) 69. (Abstr 25).
27. Nofech-Mozes S, Trudeau M, Kahn H, et al. Patterns of recurrence in the basal and non-basal subtypes of triple-negative breast cancers. Breast Cancer Res Treat (2009) 118:131–137.[CrossRef][Web of Science][Medline]
28. Fulford L, Easton D, Reis-Filho J, et al. Specific morphological features predictive for the basal phenotype in grade 3 invasive ductal carcinoma of breast. Histopathology (2006) 49:22–34.[CrossRef][Web of Science][Medline]
29. Lakhani SR, Reis-Filho JS, Fulford L, et al. Prediction of BRCA1 status in patients with breast cancer using estrogen receptor and basal phenotype. Clin Cancer Res (2005) 11:5175–5180.
30. Livasy CA, Karaca G, Nanda R, et al. Phenotypic evaluation of the basal-like subtype of invasive breast carcinoma. Mod Pathol (2005) 19:264.[CrossRef][Web of Science]
31. Tsuda H, Takarabe T, Hasegawa T, et al. Myoepithelial differentiation in high-grade invasive ductal carcinomas with large central acellular zones. Hum Pathol (1999) 30:1134–1139.[CrossRef][Web of Science][Medline]
32. Tsuda H, Takarabe T, Hasegawa F, et al. Large, central acellular zones indicating myoepithelial tumor differentiation in high-grade invasive ductal carcinomas as markers of predisposition to lung and brain metastases. Am J Surg Pathol (2000) 24:197–202.[CrossRef][Web of Science][Medline]
33. Lin NU, Vanderplas A, Hughes ME, et al. Clinicopathological features and sites of recurrence according to breast cancer subtype in the National Comprehensive Cancer Network (NCCN). J Clin Oncol (2009) 27. (Abstr 543).
34. Reis-Filho J, Milanezi F, Steele D, et al. Metaplastic breast carcinomas are basal-like tumours. Histopathology (2006) 49:10–21.[CrossRef][Web of Science][Medline]
35. Jacquemier J, Padovani L, Rabayrol L, et al. Typical medullary breast carcinomas have a basal/myoepithelial phenotype. J Pathol (2005) 207:260–268.[CrossRef][Web of Science][Medline]
36. Weigelt B, Kreike B, Reis-Filho J. Metaplastic breast carcinomas are basal-like breast cancers: a genomic profiling analysis. Breast Cancer Res Treat (2009) 117:273–280.[CrossRef][Web of Science][Medline]
37. Dolle JM, Daling JR, White E, et al. Risk factors for triple-negative breast cancer in women under the age of 45 years. Cancer Epidemiol Biomarkers Prev (2009) 18:1157–1166.
38. Yang XR, Pfeiffer RM, Garcia-Closas M, et al. Hormonal markers in breast cancer: coexpression, relationship with pathologic characteristics, and risk factor associations in a population-based study. Cancer Res (2007) 67:10608–10617.
39. Millikan R, Newman B, Tse C-K, et al. Epidemiology of basal-like breast cancer. Breast Cancer Res Treat (2008) 109:123.[CrossRef][Web of Science][Medline]
40. Yang XR, Sherman ME, Rimm DL, et al. Differences in risk factors for breast cancer molecular subtypes in a population-based study. Cancer Epidemiol Biomarkers Prev (2007) 16:439–443.
41. Haffty BG, Yang Q, Reiss M, et al. Locoregional relapse and distant metastasis in conservatively managed triple negative early-stage breast cancer. J Clin Oncol (2006) 24:5652–5657.
42. Dent R, Trudeau M, Pritchard KI, et al. Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res (2007) 13:4429–4434.
43. Bauer K, Brown M, Cress C, et al. Descriptive analysis of estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and HER2-negative invasive breast cancer, the so-called triple-negative phenotype. Cancer (2007) 109:1721–1728.[CrossRef][Web of Science][Medline]
44. Carey LA, Perou CM, Livasy CA, et al. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA (2006) 295:2492–2502.
45. Harris L, Broadwater G, Lin N, et al. Molecular subtypes of breast cancer in relation to paclitaxel response and outcomes in women with metastatic disease: results from CALGB 9342. Breast Cancer Res (2006) 8:R66.[CrossRef][Medline]
46. Morris GJ, Naidu S, Topham AK, et al. Differences in breast carcinoma characteristics in newly diagnosed African-American and Caucasian patients. Cancer (2007) 110:876–884.[CrossRef][Web of Science][Medline]
47. Liedtke C, Mazouni C, Hess KR, et al. Response to neoadjuvant therapy and long-term survival in patients with triple-negative breast cancer. J Clin Oncol (2008) 26:1275–1281.
48. Brown M, Tsodikov A, Bauer K, et al. The role of human epidermal growth factor receptor 2 in the survival of women with estrogen and progesterone receptor-negative, invasive breast cancer: the California Cancer Registry, 1999–2004. Cancer (2008) 112:737–747.[CrossRef][Web of Science][Medline]
49. Kwan M, Kushi L, Weltzien E, et al. Epidemiology of breast cancer subtypes in two prospective cohort studies of breast cancer survivors. Breast Cancer Res (2009) 11:R31.[CrossRef][Medline]
50. Trivers K, Lund M, Porter P, et al. The epidemiology of triple-negative breast cancer, including race. Cancer Causes Control (2009) 20:1071–1082.[CrossRef][Web of Science][Medline]
51. Maiti B, Kundranda MN, Jin T, et al. The association of metabolic syndrome with triple-negative breast cancer. J Clin Oncol (2009) 27. (Abstr 1038).
52. Nitz U, Gluz O, Herr A, et al. Retrospective analysis of WSG AM01 tandem high dose chemotherapy trial in high risk primary breast cancer: a hypothesis generating study. J Clin Oncol (Meeting Abstracts) (2006) 24. (Abstr 665).
53. Stead L, Lash T, Sobieraj J, et al. Triple-negative breast cancers are increased in black women regardless of age or body mass index. Breast Cancer Res (2009) 11:R18.[CrossRef][Medline]
54. Yang W-T, Dryden M, Broglio K, et al. Mammographic features of triple receptor-negative primary breast cancers in young premenopausal women. Breast Cancer Res Treat (2008) 111:405–410.[CrossRef][Web of Science][Medline]
55. Collett K, Stefansson IM, Eide J, et al. A basal epithelial phenotype is more frequent in interval breast cancers compared with screen detected tumors. Cancer Epidemiol Biomarkers Prev (2005) 14:1108–1112.
56. Uematsu T, Kasami M, Yuen S. Triple-negative breast cancer: correlation between MR imaging and pathologic findings. Radiology (2009) 250:638–647.
57. Chen J-H, Mehta RS, Carpenter PM, et al. Magnetic resonance imaging in predicting pathological response of triple negative breast cancer following neoadjuvant chemotherapy. J Clin Oncol (2007) 25:5667–5669.
58. Moon HG, Han W, Lee JW, et al. Age and HER2 expression status affect MRI accuracy in predicting residual tumor extent after neo-adjuvant systemic treatment. Ann Oncol (2009) 20:636–641.
59. Basu S, Chen W, Tchou J, et al. Comparison of triple-negative and estrogen receptor-positive/progesterone receptor-positive/HER2-negative breast carcinoma using quantitative fluorine-18 fluorodeoxyglucose/positron emission tomography imaging parameters. Cancer (2008) 112:995–1000.[CrossRef][Web of Science][Medline]
60. Sorlie T, Tibshirani R, Parker J, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci U S A (2003) 100:8418–8423.
61. Abd El-Rehim D, Graham B, Pinder S, et al. High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses. Int J Cancer (2005) 116:340–350.[CrossRef][Web of Science][Medline]
62. Carey LA, Dees EC, Sawyer L, et al. The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes. Clin Cancer Res (2007) 13:2329–2334.
63. Hugh J, Hanson J, Cheang MCU, et al. Breast cancer subtypes and response to docetaxel in node-positive breast cancer: use of an immunohistochemical definition in the BCIRG 001 trial. J Clin Oncol (2009) 27:1168–1176.
64. Burnell MJ, O'Connor EM, Chapman JW, et al. Triple-negative receptor status and prognosis in the NCIC CTG MA. 21 adjuvant breast cancer trial. J Clin Oncol (Meeting Abstracts) (2008) 26. (Abstr 550).
65. Jacquemier J, Penault-Llorca F, Mnif H, et al. Identification of a basal-like subtype and comparative effect of epirubicin-based chemotherapy and sequential epirubicin followed by docetaxel chemotherapy in the PACS 01 breast cancer trial: 33 markers studied on tissue-microarrays (TMA). J Clin Oncol (Meeting Abstracts) (2006) 24. (Abstr 509).
66. Banerjee S, Reis-Filho JS, Ashley S, et al. Basal-like breast carcinomas: clinical outcome and response to chemotherapy. J Clin Pathol (2006) 59:729–735.
67. Rodriguez-Pinilla SM, Sarrio D, Honrado E, et al. Prognostic significance of basal-like phenotype and fascin expression in node-negative invasive breast carcinomas. Clin Cancer Res (2006) 12:1533–1539.
68. Dent R, Hanna W, Trudeau M, et al. Pattern of metastatic spread in triple-negative breast cancer. Breast Cancer Res Treat (2009) 115:423–428.[CrossRef][Web of Science][Medline]
69. Dent R, Hanna WM, Trudeau M, et al. Time to disease recurrence in basal-type breast cancers. Cancer (2009) 115:4917–4923.[CrossRef][Web of Science][Medline]
70. Freedman GM, Anderson PR, Li T, et al. Locoregional recurrence of triple-negative breast cancer after breast-conserving surgery and radiation. Cancer (2009) 115:946–951.[CrossRef][Web of Science][Medline]
71. Kyndi M, Sorensen FB, Knudsen H, et al. Estrogen receptor, progesterone receptor, her-2, and response to postmastectomy radiotherapy in high-risk breast cancer: the Danish Breast Cancer Cooperative Group. J Clin Oncol (2008) 26:1419–1426.
72. Nguyen PL, Taghian AG, Katz MS, et al. Breast cancer subtype approximated by estrogen receptor, progesterone receptor, and HER-2 is associated with local and distant recurrence after breast-conserving therapy. J Clin Oncol (2008) 26:2373–2378.
73. Kaplan G, Malmgren J. Impact of triple negative phenotype on breast cancer prognosis. Breast J (2008) 14:456–463.[CrossRef][Web of Science][Medline]
74. Millar EKA, Graham PH, O'Toole SA, et al. Prediction of local recurrence, distant metastases, and death after breast-conserving therapy in early-stage invasive breast cancer using a five-biomarker panel. J Clin Oncol (2009) 27:4701–4708.
75. Lin NU, Claus E, Sohl J, et al. Sites of distant recurrence and clinical outcomes in patients with metastatic triple-negative breast cancer. Cancer (2008) 113:2638–2645.[CrossRef][Web of Science][Medline]
76. Heitz F, Harter P, Traut A, et al. Cerebral metastases (CM) in breast cancer (BC) with focus on triple-negative tumors. J Clin Oncol (Meeting Abstracts) (2008) 26. (Abstr 1010).
77. Dawood S, Broglio K, Esteva FJ, et al. Survival among women with triple receptor-negative breast cancer and brain metastases. Ann Oncol (2009) 20:621–627.
78. Saip P, Cicin I, Eralp Y, et al. Identification of patients who may benefit from the prophylactic cranial radiotherapy among breast cancer patients with brain metastasis. J Neurooncol (2008) 93:243–251.[CrossRef][Medline]
79. Eichler A, Kuter I, Ryan P, et al. Survival in patients with brain metastases from breast cancer. Cancer (2008) 112:2359–2367.[CrossRef][Web of Science][Medline]
80. Niwinska A, Murawska M, Lemanska I, et al. The role of systemic treatment after whole brain radiotherapy (WBRT) in breast cancer patients with brain metastases: differences depending on biological subtype. J Clin Oncol (2009) 27. (Abstr 1027).
81. Pusztai L, Rouzier R, Pusztai L, et al. A specific nomogram to predict subsequent brain metastasis in metastatic triple-negative breast cancer patients. J Clin Oncol (2009) 27. (Abstr 1028).
82. Lakhani S, Van De Vijver M, Jacquemier J, et al. The pathology of familial breast cancer: predictive value of immunohistochemical markers estrogen receptor, progesterone receptor, HER-2, and p53 in patients with mutations in BRCA1 and BRCA2. J Clin Oncol (2002) 20:2310–2318.
83. Foulkes WD, Brunet JS, Stefansson IM, et al. The prognostic implication of the basal-like (cyclin E high/p27 low/p53+/glomeruloid-microvascular-proliferation+) phenotype of BRCA1-related breast cancer. Cancer Res (2004) 64:830–835.
84. Kandel MJ, Stadler Z, Masciari S, et al. Prevalence of BRCA1 mutations in triple negative breast cancer (BC). J Clin Oncol (Meeting Abstracts) (2006) 24. (Abstr 508).
85. Young S, Pilarski R, Donenberg T, et al. The prevalence of BRCA mutations among young women with triple-negative breast cancer. BMC Cancer (2009) 9:86.[CrossRef][Medline]
86. Tirkkonen M, Johannsson O, Agnarsson BA, et al. Distinct somatic genetic changes associated with tumor progression in carriers of BRCA1 and BRCA2 germ-line mutations. Cancer Res (1997) 57:1222–1227.
87. Wang ZC, Lin M, Wei L-J, et al. Loss of heterozygosity and its correlation with expression profiles in subclasses of invasive breast cancers. Cancer Res (2004) 64:64–71.
88. Bergamaschi A, Kim YH, Wang P, et al. Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene-expression subtypes of breast cancer. Genes Chromosomes Cancer (2006) 45:1033–1040.[CrossRef][Web of Science][Medline]
89. Crook T, Brooks LA, Crossland S, et al. p53 mutation with frequent novel condons but not a mutator phenotype in BRCA1- and BRCA2-associated breast tumours. Oncogene (1998) 17:1681–1689.[CrossRef][Web of Science][Medline]
90. Tommiska J, Bartkova J, Heinonen M, et al. The DNA damage signalling kinase ATM is aberrantly reduced or lost in BRCA1/BRCA2-deficient and ER/PR/ERBB2-triple-negative breast cancer. Oncogene (2008) 27:2501–2506.[CrossRef][Web of Science][Medline]
91. Adelaide J, Finetti P, Bekhouche I, et al. Integrated profiling of basal and luminal breast cancers. Cancer Res (2007) 67:11565–11575.
92. Winer E. Progress in the treatment BRCA1 or 2 deficient and triple negative breast cancer (2009) Annual Meeting of the ASCO.
93. Turner N, Reis-Filho J, Russell A, et al. BRCA1 dysfunction in sporadic basal-like breast cancer. Oncogene (2007) 26:2126–2132.[CrossRef][Web of Science][Medline]
94. Collins LC, Martyniak AJ, Kandel MJ, et al. Basal cytokeratin and epidermal growth factor receptor expression are not predictive of BRCA1 mutation status in women with triple-negative breast cancers. Am J Surg Pathol (2009) 10.1097/PAS.0b013e31819c1c93 [Epub ahead of print].
95. Troester MA, Hoadley KA, Sorlie T, et al. Cell-type-specific responses to chemotherapeutics in breast cancer. Cancer Res (2004) 64:4218–4226.
96. Sotiriou C, Wirapati P, Loi S, et al. Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst (2006) 98:262–272.
97. Loi S, Haibe-Kains B, Desmedt C, et al. Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade. J Clin Oncol (2007) 25:1239–1246.
98. Liedtke C, Hatzis C, Symmans WF, et al. Genomic grade index is associated with response to chemotherapy in patients with breast cancer. J Clin Oncol (2009) 27:3185–3191.
99. Ono M, Tsuda H, Shimizu C, et al. Evaluation of tumor-infiltrating lymphocytes (TIL) and tumor cell apoptosis as predictive markers for response to neoadjuvant chemotherapy in triple-negative breast cancer. J Clin Oncol (2009) 27. (Abstr 559).
100. Esserman LJ, Perou C, Cheang M, et al. Breast cancer molecular profiles and tumor response of neoadjuvant doxorubicin and paclitaxel: the I-SPY TRIAL (CALGB 150007/150012, ACRIN 6657). J Clin Oncol (2009) 27. (Abstr LBA515).
101. Symmans WF, Peintinger F, Hatzis C, et al. Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy. J Clin Oncol (2007) 25:4414–4422.
102. Gennari A, Sormani MP, Pronzato P, et al. HER2 status and efficacy of adjuvant anthracyclines in early breast cancer: a pooled analysis of randomized trials. J Natl Cancer Inst (2008) 100:14–20.
103. Slamon D, Mackey J, Robert N, et al. Role of anthracycline-based therapy in the adjuvant treatment of breast cancer: efficacy analyses determined by molecular subtypes of the disease. Breast Cancer Res Treat (2007) 106. (Abstr 13).
104. Di Leo A, Isola J, Piette F, et al. A meta-analysis of phase III trials evaluating the predictive value of HER2 and topoisomerase II alpha in early breast cancer patients treated with CMF or anthracycline-based adjuvant therapy. Cancer Res (2009) 69. (Abstr 705).
105. Bidard FC, Matthieu MC, Chollet P, et al. p53 status and efficacy of primary anthracyclines/alkylating agent-based regimen according to breast cancer molecular classes. Ann Oncol (2008) 19:1261–1265.
106. Berrada N, Conforti R, Delaloge S, et al. Use of molecular classification combined with p53 and topoisomerase IIa expression to identify tumors highly responsive to FEC regimen: a tissue microarray. J Clin Oncol (2009) 27. (Abstr 546).
107. Le Tourneau C, Dettwiler S, Laurence V, et al. 47% pathologic complete response rate to anthracyclines-based associated with high cyclophosphamide doses neoadjuvant chemotherapy in basal-like and triple negative breast cancer patients. Breast Cancer Res Treat (2007) 106. (Abstr 4010).
108. Gluz O, Nitz UA, Harbeck N, et al. Triple-negative high-risk breast cancer derives particular benefit from dose intensification of adjuvant chemotherapy: results of WSG AM-01 trial. Ann Oncol (2008) 19:861–870.
109. Cheang M, Chia SK, Tu D, et al. Anthracyclines in basal breast cancer: the NCIC-CTG trial MA5 comparing adjuvant CMF to CEF. J Clin Oncol (2009) 27:519.
110. Hayes DF, Thor AD, Dressler LG, et al. HER2 and response to paclitaxel in node-positive breast cancer. N Engl J Med (2007) 357:1496–1506.
111. Citron ML, Berry DA, Cirrincione C, et al. Randomized trial of dose-dense conventionally scheduled and sequential versus concurrent combination chemotherapy as postoperative adjuvant treatment of node-positive primary breast cancer: first report of Intergroup Trial C9741/Cancer and Leukemia Group B Trial 9741. J Clin Oncol (2003) 21:1431–1439.
112. Huober J, von Minckwitz G, Denkert C, et al. Neoadjuvant chemotherapy in operable breast cancer with docetaxel, doxorubicin, and cyclophosphamide (TAC) or TAC followed by vinorelbine and capecitabine (NX): final results and analysis of markers predicting response to treatment. J Clin Oncol (Meeting Abstracts) (2009) 27. (Abstr 524).
113. Rodriguez-Lescure A, Martin M, Ruiz A, et al. Subgroup analysis of GEICAM 9906 trial comparing six cycles of FE90C (FEC) to four cycles of FE90C followed by 8 weekly paclitaxel administrations (FECP): relevance of HER2 and hormonal status (HR). J Clin Oncol (Meeting Abstracts) (2007) 25. (Abstr 10598).
114. Loesch DM, Greco F, O'Shaughnessy J, et al. A randomized, multicenter phase III trial comparing doxorubicin + cyclophosphamide followed by paclitaxel or doxorubicin + paclitaxel followed by weekly paclitaxel as adjuvant therapy for high-risk breast cancer. J Clin Oncol (Meeting Abstracts) (2007) 25. (Abstr 517).
115. Sparano JA, Wang M, Martino S, et al. Weekly paclitaxel in the adjuvant treatment of breast cancer. N Engl J Med (2008) 358:1663–1671.
116. Rugo HS, Thomas ES, Lee RK, et al. Combination therapy with the novel epothilone B analog, ixabepilone, plus capecitabine has efficacy in ER/PR/HER2-negative breast cancer resistant to anthracyclines and taxanes. Breast Cancer Res Treat (2007) 106:6069.
117. Pivot X, Li R, Thomas E, et al. Activity of ixabepilone in oestrogen receptor-negative and oestrogen receptor-progesterone receptor-human epidermal growth factor receptor 2-negative metastatic breast cancer. Eur J Cancer (2009) [Epub ahead of print].
118. Kennedy RD, Quinn JE, Mullan PB, et al. The role of BRCA1 in the cellular response to chemotherapy. J Natl Cancer Inst (2004) 96:1659–1668.
119. Chabalier C, Lamare C, Racca C, et al. BRCA1 downregulation leads to premature inactivation of spindle checkpoint and confers paclitaxel resistance. Cell Cycle (2006) 5:1001–1007.[Web of Science][Medline]
120. Gilmore PM, McCabe N, Quinn JE, et al. BRCA1 interacts with and is required for paclitaxel-induced activation of mitogen-activated protein kinase kinase kinase 3. Cancer Res (2004) 64:4148–4154.
121. Rottenberg S, Nygren AOH, Pajic M, et al. Selective induction of chemotherapy resistance of mammary tumors in a conditional mouse model for hereditary breast cancer. Proc Natl Acad Sci U S A (2007) 104:12117–12122.
122. Chappuis PO, Goffin J, Wong N, et al. A significant response to neoadjuvant chemotherapy in BRCA1/2 related breast cancer. J Med Genet (2002) 39:608–610.
123. Rodriguez AA, Makris A, Harrison MK, et al. BRCA1 gene expression signature predicts for anthracycline-chemosensitivity in triple-negative breast cancer. Cancer Res (2009) 69. (Abstr 6039).
124. Petit T, Wilt M, Rodier J, et al. Are BRCA1 mutations a predictive factor for anthracycline-based neoadjuvant chemotherapy response in triple-negative breast cancers? J Clin Oncol (Meeting Abstracts) (2007) 25. (Abstr 580).
125. Kriege M, Seynaeve C, Meijers-Heijboer H, et al. Sensitivity to first-line chemotherapy for metastatic breast cancer in BRCA1 and BRCA2 mutation carriers. J Clin Oncol (2009) 27:3764–3771.
126. Leong CO, Vidnovic N, DeYoung MP, et al. The p63/p73 network mediates chemosensitivity to cisplatin in a biologically defined subset of primary breast cancers. J Clin Invest (2007) 117:1370–1380.[CrossRef][Web of Science][Medline]
127. Gronwald J, Byrski T, Huzarski T, et al. Neoadjuvant therapy with cisplatin in BRCA1-positive breast cancer patients. J Clin Oncol (2009) 27(Suppl). (Abstr 502).
128. Garber J, Richardson A, Harri L. Neoadjuvant cisplatin in triple-negative breast cancer. Breast Cancer Res Treat (2006) 100. (Abstr 3074).
129. Torrisi R, Balduzzi A, Ghisini R, et al. Tailored preoperative treatment of locally advanced triple negative (hormone receptor negative and HER2 negative) breast cancer with epirubicin, cisplatin, and infusional fluorouracil followed by weekly paclitaxel. Cancer Chemother Pharmacol (2008) 62:667–672.[CrossRef][Web of Science][Medline]
130. Ryan PD, Tung NM, Isakoff SJ, et al. Neoadjuvant cisplatin and bevacizumab in triple negative breast cancer (TNBC): safety and efficacy. J Clin Oncol (Meeting Abstracts) (2009) 27. (Abstr 551).
131. Frasci G, Comella P, Rinaldo M, et al. Preoperative weekly cisplatin-epirubicin-paclitaxel with G-CSF support in triple-negative large operable breast cancer. Ann Oncol (2009) 20:1185–1192.
132. Sikov WM, Fenton MA, Strenger R, et al. Preliminary recurrence and survival analysis of patients (pts) receiving neoadjuvant q4week carboplatin and weekly paclitaxel ± weekly trastuzumab in resectable and locally advanced breast cancer: update of BrUOG BR-95. Breast Cancer Res Treat (2007) 106:5063.
133. Leone JP, Guardiola V, Venkatraman A, et al. Neoadjuvant platinum-based chemotherapy (CT) for triple-negative locally advanced breast cancer (LABC): retrospective analysis of 125 patients. J Clin Oncol (2009) 27. (Abstr 625).
134. Sirohi B, Arnedos M, Popat S, et al. Platinum-based chemotherapy in triple-negative breast cancer. Ann Oncol (2008) 19:1847–1852.
135. Uhm J, Park Y, Yi S, et al. Treatment outcomes and clinicopathologic characteristics of triple-negative breast cancer patients who received platinum-containing chemotherapy. Int J Cancer (2009) 124:1457–1462.[CrossRef][Web of Science][Medline]
136. O'Shaughnessy J, Weckstein DJ, Vukelja SJ, et al. Preliminary results of a randomized phase II study of weekly irinotecan/carboplatin with or without cetuximab in patients with metastatic breast cancer. Breast Cancer Res Treat (2007) 106:308.
137. O'Shaughnessy J, Osborne C, Pippen J, et al. Efficacy of BSI-201, a poly (ADP-ribose) polymerase-1 (PARP1) inhibitor, in combination with gemcitabine/carboplatin (G/C) in patients with metastatic triple-negative breast cancer (TNBC): results of a randomized phase II trial. J Clin Oncol (Meeting Abstracts) (2009) 27. (Abstr 3).
138. Ogston KN, Miller ID, Payne S, et al. A new histological grading system to assess response of breast cancers to primary chemotherapy: prognostic significance and survival. Breast (2003) 12:320–327.[CrossRef][Web of Science][Medline]
139. Cleator S, Heller W, Coombes RC. Triple-negative breast cancer. Lancet Oncol (2007) 8:235–244.[CrossRef][Web of Science][Medline]
140. Eralp Y, Derin D, Ozluk Y, et al. MAPK overexpression is associated with anthracycline resistance and increased risk for recurrence in patients with triple-negative breast cancer. Ann Oncol (2008) 19:669–674.
141. Ivanov O, Chen F, Wiley E, et al.
B-crystallin is a novel predictor of resistance to neoadjuvant chemotherapy in breast cancer. Breast Cancer Res Treat (2008) 111:411–417.[CrossRef][Web of Science][Medline]
142. Hoeflich KP, O'Brien C, Boyd Z, et al. In vivo antitumor activity of MEK and phosphatidylinositol 3-kinase inhibitors in basal-like breast cancer models. Clin Cancer Res (2009) 15:4649–4664.
143. Altundag K, Bulut N, Dizdar O, et al. Albumin-bound paclitaxel, ABI-007 may show better efficacy than paclitaxel in basal-like breast cancers: association between caveolin-1 expression and ABI-007. Breast Cancer Res Treat (2006) 100:329.[CrossRef][Web of Science][Medline]
144. Glenney JJ. The sequence of human caveolin reveals identity with VIP21, a component of transport vesicles. FEBS Lett (1992) 314:45–48.[CrossRef][Web of Science][Medline]
145. Pinilla S, Honrado E, Hardisson D, et al. Caveolin-1 expression is associated with a basal-like phenotype in sporadic and hereditary breast cancer. Breast Cancer Res Treat (2006) 99:85.[CrossRef][Web of Science][Medline]
146. Farmer H, McCabe N, Lord CJ, et al. Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy. Nature (2005) 434:917.[CrossRef][Medline]
147. Finn RS, Lau A, Kalous O, et al. Pre-clinical activity of the PARP inhibitor AZD2281 in human breast cancer cell lines and in combination with DNA damaging agents. Cancer Res (2009) 69. (Abstr 1038).
148. Rottenberg S, Jaspers JE, Kersbergen A, et al. High sensitivity of BRCA1-deficient mammary tumors to the PARP inhibitor AZD2281 alone and in combination with platinum drugs. Proc Natl Acad Sci U S A (2008) 105:17079–17084.
149. Tutt A, Robson M, Garber JE, et al. Phase II trial of the oral PARP inhibitor olaparib in BRCA-deficient advanced breast cancer. J Clin Oncol (2009) 27. (Abstr CRA501).
150. Miller K, Wang M, Gralow J, et al. Paclitaxel plus bevacizumab versus paclitaxel alone for metastatic breast cancer. N Engl J Med (2007) 357:2666–2676.
151. Carey L, Rugo H, Marcom P, et al. TBCRC 001: eGFR inhibition with cetuximab added to carboplatin in metastatic triple-negative (basal-like) breast cancer. J Clin Oncol (2008) 26. (Abstr 1009).
152. Nicholson RI, Gee JMW, Harper ME. EGFR and cancer prognosis. Eur J Cancer (2001) 37:9.[Web of Science][Medline]
153. Corkery B, Crown J, Clynes M, et al. Epidermal growth factor receptor as a potential therapeutic target in triple-negative breast cancer. Ann Oncol (2009) 20:862–867.
154. Sartor C, Zhou H, Perou C, et al. Basal-like breast tumor-derived cell lines are growth inhibited and radiosensitized by epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors. Breast Cancer Res Treat (2004) 88. (Abstr 311).
155. Huang F, Reeves K, Han X, et al. Identification of candidate molecular markers predicting sensitivity in solid tumors to dasatinib: rationale for patient selection. Cancer Res (2007) 67:2226–2238.
156. Finn R, Dering J, Ginther C, et al. Dasatinib, an orally active small molecule inhibitor of both the src and abl kinases, selectively inhibits growth of basal-type/"triple-negative" breast cancer cell lines growing in vitro. Breast Cancer Res Treat (2007) 105:319.[CrossRef][Web of Science][Medline]
157. Finn RS, Bengala C, Ibrahim N, et al. Phase II trial of dasatinib in triple-negative breast cancer: results of study CA180059. Cancer Res (2009) 69. (Abstr 3118).
158. Caldas-Lopes E, Cerchietti L, Ahn JH, et al. Hsp90 inhibitor PU-H71, a multimodal inhibitor of malignancy, induces complete responses in triple-negative breast cancer models. Proc Natl Acad Sci U S A (2009) 106:8368–8373.
159. Linderholm BK, Klintman M, Grabau D, et al. Significantly higher expression of vascular endothelial growth factor (VEGF) and shorter survival after recurrences in premenopausal node negative patients with triple negative breast cancer. Cancer Res (2009) 69. (Abstr 1077).
160. Ryden L, Ferno M, Stal O, et al. Vascular endothelial growth factor receptor 2 is a significant negative prognostic biomarker in triple-negative breast cancer: results from a controlled randomised trial of premenopausal breast cancer. Cancer Res (2009) 69. (Abstr 1087).
161. Andre F, Dessen P, Job B, et al. Functional pathways analyses to identify candidate therapeutic targets in triple-negative breast cancer. J Clin Oncol (2009) 27. (Abstr 569).
162. Burstein HJ, Elias AD, Rugo HS, et al. Phase II study of sunitinib malate, an oral multitargeted tyrosine kinase inhibitor, in patients with metastatic breast cancer previously treated with an anthracycline and a taxane. J Clin Oncol (2008) 26:1810–1816.
163. Kuhl CK, Schrading S, Bieling HB, et al. MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study. Lancet (2007) 370:485–492.[CrossRef][Web of Science][Medline]
164. Schwarz-Dose J, Untch M, Tiling R, et al. Monitoring primary systemic therapy of large and locally advanced breast cancer by using sequential positron emission tomography imaging with [18F]fluorodeoxyglucose. J Clin Oncol (2009) 27:535–541.
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