Therapeutic landscape in mutational triple negative breast cancer.

Triple negative breast cancer (TNBC) is a heterogeneous disease with aggressive behavior and poor prognosis. Genomic sequencing has detected a distinctive mutational portrait of both the germline and somatic alterations in TNBC, which is staggeringly different from other breast cancer subtypes. The clinical utility of sequencing germline BRCA1/2 genes has been well established in TNBC. However, for other predisposition genes, studies concerning the risk and penetrance to TNBC are relatively scarce. Very few recurrent mutations, including TP53 and PI3KCA mutations, together with a long tail of individually rare mutations occur in TNBC. These combined effects of genomic alterations drive TNBC progression. Given the complexity and heterogeneity of TNBC, clinical interpretation of the genomic alterations in TNBC may pave a new way for the treatment of TNBC. In this review, we summarized the germline and somatic mutation profiles of TNBC and discussed the current and upcoming therapeutic strategies targeting the mutant proteins or pathways to enable tailored-therapeutics.

Background

Genomic progress in triple negative breast cancer

Breast cancer is the most frequent malignancy, and causes the second most common cause of cancer death among female [1]. Triple negative breast cancer (TNBC) represents 15% of all breast cancers, but some studies have suggested that its prevalence varies by race and ethnicity. It was reported as high as 39% in Saudi Arabian women [2], 23% in Hispanic population [3], 19% in Chinese [4]. This subtype is associated with aggressive tumor pathology, and poor clinical prognosis [5]. Due to the lack of well-defined molecular targets, the treatment of TNBC relies in chemotherapy, mainly anthracycline, taxanes based regimen. Disease prognosis is poor in patients accompanied by a tendency to develop drug resistance to standard chemotherapy. Improved approaches to treatment of TNBC are highlighted. Advances in next-generation sequencing (NGS) have revealed the genomic complexity and heterogeneity of TNBC. The recent great step was the cluster analysis that identified 6 molecular subtypes displaying unique molecular expression and ontologies. Six TNBC subtypes were proposed as basal-like 1 (BL1), basal-like 2 (BL2), immune modulatory (IM), mesenchymal (M), mesenchymal stem–like (MSL), and luminal androgen receptor (LAR) [5]. Apart from gene clusters, seminal progress has been achieved in mutational spectrum of TNBC related cancer causing genes. These mutational changes, both germline and somatic alterations, contribute to TNBC specific cancer predisposition and progression [6, 7]. Furthermore, TNBC related mutational spectrum shows staggering heterogeneity, extremely distinctive from other types of breast cancer. How to best exploit the genomic alterations of TNBC for therapeutic options remains an important incompletely answered problem. In this review, we summarized a portrait of germline and somatic mutations in TNBC, and focused on investigational therapeutic strategies targeting potential impact somatic or germline alterations, providing valid evidence of future tailored therapy from mutational aspect in TNBC.

Main text

Germline mutations in triple negative breast Cancer

BRCA1/2 mutations in TNBC

Compared with other breast cancer, TNBC cases tend to be younger at diagnosis, African American, and BRCA mutation carriers. Patients with TNBC are more likely to have a positive family history [8]. With respect to mostly 60% of BRCA1 mutation carries displaying a TNBC phenotype [9], BRCA1 related cancers are closely correlated with TNBC. In contrast, no such association was observed in BRCA2 mutation carriers.

Previous reviews describing BRCA mutations in TNBC were incomprehensive, for several recent and large cohorts were not included. This review provides more detailed insight (Table 1). Early onset of TNBC, positive family history, and Ashkenazi Jewish (AJ) population are strong predictors for a higher prevalence of BRCA mutations. Two studies in Ashkenazi populations identified a BRCA1 mutation rate range from 24 to 30% [10, 11]. Besides, in Mexican population, Villarreal-Garza et al. detected a BRCA mutation in 23% of young Mexican women with triple negative breast cancer [12]. Another large cohort assessed the frequency of mutations in 17 breast cancer susceptibility genes in 1824 unselected TNBCs. This study detected higher BRCA1 mutation rate in patients diagnosed at age<50 years or with family history [3]. Interestingly, in this research, TNBC patients diagnosed over 60 years old have a low BRCA mutation rate (3.1%) [6]. The association between TNBC and BRCA mutations was mostly limited to young patients (Table 1). This supports the general recommendation of BRCA testing in young TNBC patients [6]. However, by performing a retrospective review of 450 racially diverse TNBC referred for genetic counseling, Greenup et al. detected that among patients who were diagnosed with TNBC older than 50, 22.6% of these had either a BRCA1 mutation (14.9%) or a BRCA2 mutation (7.7%). Among patients diagnosed with TNBC older than 60 (n = 38), 13% carried BRCA mutations (Table 2) [13]. Besides, in AJ population, a significant proportion of older TNBC patients (>50 years old at diagnosis) carried mutations in BRCA1 (13.9%) and BRCA2 (11.1%) (Table 2) [11]. These observations of a high mutation rate among older TNBC patients support the revised National Comprehensive Cancer Network (NCCN) guidelines to refer patients for BRCA testing based on phenotype. Moreover, the prevalence of genetic mutations among women with TNBC differs significantly by ethnicity. Further researches are warranted to investigate if risk models could include race/ethnicity in risk calculation for patients with TNBC.

Table 1

BRCA1/2 Mutations in Triple Negative Breast Cancer

Reference	Race/Ethnicity	TNBC cases	Total TNBC		TNBC with family history		Early onset TNBC
			BRCA1 prevalence	BRCA2 prevalence	BRCA1 prevalence	BRCA2 prevalence	BRCA1 prevalence	BRCA2 prevalence
Foulkes 2003 [10]	AJa	72	23.6% (17/72)	0	_	_	_	_
Atchley 2008 [9]	Caucasian/Hispanic/AAb/Asian/AJ	93	34.4% (32/93)	7.5% (7/93)	_	_	_	_
Young 2009 [14]	Caucasian/Hispanic/AA/Asian/AJ	54	_	_	_	_	<40 years16.7%(9/54)	<40 years1.9%(1/54)
Gonzalez 2011 [78]	Caucasian/Hispanic/AA	77	14.3%(11/77)	3.9% (3/77)	22.7% (5/22)	0	_	_
Comen 2011 [11]	AJ	64	29.7% (19/64)	9.4% (6/64)	BRCA1/2 prevalence32.1%(9/28)		<50 years50%(14/28)	<50 years7.1%(2/28)
Hartman 2012 [79]	Caucasian/Hispanic/AA/Asian	199	6.5% (13/199)	4.0% (8/199)	10.2% (11/108)	4.6% (5/108)	<50 years9.3%(8/86)	<50 years5.8%(5/86)
Greenup 2013 [13]	Caucasian/Hispanic/AA/Asian/AJ	450	23.5% (106/450)	7.1% (32/450)	_	_	<40 years 37.7%(55/146)	<40 years6.8%(10/146)
Sharma 2014 [80]	Caucasian/AA/AJ	207	11.1% (23/207)	4.3% (9/207)	BRCA1/2 prevalence21.1%(27/128)		BRCA1/2 prevalence: <50 years27.6%(21/76)
Couch 2015 [6]	Caucasian/Hispanic/AA/Asian	1824	8.5% (155/1824)	2.7% (49/1824)	13.4% (72/539)	3.2% (17/539)	<50 years13.0%(98/754)	<50 years3.6%(27/754)
Tung 2015 [81]	Caucasian/Hispanic/AA/Asian/AJ	87	12.6% (11/87)	1.1% (1/87)	_	_	_	_
Villarreal 2015 [12]	Mexican	190	22.6% (43/190)	0.5% (1/190)	_	_	BRCA1/2 prevalence: <50 years23.2%(44/190)
Wong 2015 [82]	Australian	439	5.9% (26/439)	3.4% (15/439)	8.8% (13/147)	2.7% (4/147)	<40 years11.9%(7/59)	<40 years3.4%(2/59)
Wong 2015 [82]	Polish	335	5.4% (18/335)	4.5% (15/335)	_	_	<40 years36.4%(4/11)	<40 years0
Gonzalez 2016 [83]	Caucasian/Hispanic/AA/Asian	105	12.4% (13/105)	1.9% (2/105)	22.7% (5/22)	9.1% (2/22)	≤50 years20.8%(11/53)	≤50 years1.9%(1/53)
Zhang 2016 [84]	Chinese	990	7.2% (71/990)	2.2% (22/990)	_	_	<50 years10.6%(53/498)	_
Hahnen 2017 [88]	German	291	14.7% (43/291)	2.4% (7/291)	BRCA1/2 prevalence28.2%(31/110)		BRCA1/2 prevalence: <40 years35.4%(23/65)
Sun 2017 [19]	Chinese	1104	7.4% (82/1104)	3.8% (42/1104)	_	_	_	_
Yang 2017 [85]	Malaysians	88	12.5% (11/88)	9.1% (8/88)	_	_	_	_

Abbreviations: a Ashkenazi Jewish; b African American

Table 2

BRCA1/2 Mutations in Older Triple Negative Breast Cancer

Reference	Race/Ethnicity	TNBC cases	Total TNBC		TNBC (>50 years)		TNBC (>60 years)
			BRCA1 prevalence	BRCA2 prevalence	BRCA1 prevalence	BRCA2 prevalence	BRCA1 prevalence	BRCA2 prevalence
Comen 2011 [11]	AJa	64	29.7% (19/64)	9.4% (6/64)	13.9% (5/36)	11.1% (4/36)	_	_
Hartman 2012 [79]	Caucasian/Hispanic/AAb/Asian	199	6.5% (13/199)	4.0% (8/199)	4.4% (5/113)	2.7% (3/113)	_	_
Greenup 2013 [13]	Caucasian/Hispanic/AA/Asian/AJ	450	23.5% (106/450)	7.1% (32/450)	14.9% (25/168)	7.7% (13/168)	5.3% (2/38)	7.9% (3/38)
Sharma 2014 [80]	Caucasian/AA/AJ	207	11.1% (23/207)	4.3% (9/207)	BRCA1/2 prevalence 8.4%(11/131)		BRCA1/2 prevalence 4.9%(3/62)
Couch 2015 [6]	Caucasian/Hispanic/AA/Asian	1824	8.5% (155/1824)	2.7% (49/1824)	3.3% (17/520)	1.3% (7/520)	1.4% (4/279)	0.7% (2/279)
Wong 2015 [82]	Australian	439	5.9% (26/439)	3.4% (15/439)	2.1% (6/286)	3.5% (10/286)	2.2% (4/182)	2.2% (4/182)
Wong 2015 [82]	Polish	335	5.4% (18/335)	4.5% (15/335)	3.5% (10/286)	4.5% (13/286)	2.1% (3/141)	4.3% (6/141)
Gonzalez 2016 [83]	Caucasian/Hispanic/AA/Asian	105	12.4% (13/105)	1.9% (2/105)	3.8% (2/52)	1.9% (1/52)	_	_
Zhang 2016 [84]	Chinese	990	7.2% (71/990)	2.2% (22/990)	3.7% (18/492)	_	_	_

Abbreviations: a Ashkenazi Jewish; b African American

In addition, BRCA2 mutations frequency did not generally increase in young TNBC. Comen et al. observed a frequency of BRCA2 carriers (9.4%) in 64 Ashkenazi women with TNBC. When identified in patients diagnosed before 50 years old, a lower frequency (7.1%) of BRCA2 mutations occurred [11]. Greenup et al. also detected a decreased frequency (6.8%) of BRCA2 mutations in TNBC diagnosed at age<40 years [13]. In Young’s study, only one BRCA2 mutation in 54 TNBC patients aged<40 years was identified [14]. An increase of BRCA2 mutation carriers in TNBC was detected with advancing age, and BRCA2 carriers tended to develop TNBC in older age.

Other predisposition genes associated with TNBC

Genetic attributions of other predisposition genes, excluding BRCA1/2 genes, have been limitedly studied, of which, PALB2 and FANCM were more extensively studied (Table 3). In several populations, mutations in PALB2 and FANCM confer the moderate to high risk for breast cancer. Cybulski et al. detected 35 (34%) of 104 PALB2 carriers were triple-negative, while TNBC only accounted for 14% (1257/8928) of breast cancer (p<0.0001) [15]. In Finland, tumors with the PALB2 1592delT mutation were more likely to be triple negative (54.5%, P<0.0001) compared with familiar (12.2%) or sporadic (9.4%) patients [16]. For FANCM mutations, a pronounced association was detected in TNBC patients. Four cases carried FANCM mutations in 215 patients with a TNBC phenotype (OR, 3.75; 95% CI, 1.00–12.85; P = 0.02), as compared with the mutation data from German controls [17]. By focusing on the genotyping data of 204 unselected TNBCs, Kiiski et al. reported that FANCM c.5101C>T particularly was enriched, which suggested that FANCM could confer a significant predisposition for TNBC [18].

Table 3

Mutations of other Predisposition genes except BRCA1/2 in Triple Negative Breast Cancer

Reference	Ethnicity/region	TNBC cases	Genes studied except BRCA1/2	Mutations of other predisposition genes	Number of carriers
Wong 2014 [86]	Australia	347 TNBC	PALB2 (Coding regions, intron/exon boundaries)	8 deleterious mutations	41 cases
Cybulski 2015 [15]	Poland	1257 TNBC	PALB2 (c.509_510delGA; c.172_175delTTGT)	_	35 cases
Heikkinen 2009 [16]	Finland	76 familiar TNBC and 56 sporadic TNBC	FANCM (c.1592delT)	_	12 cases
Kiiski 2014 [18]	Finland	204 TNBC	FANCM (c.5101C > T)	_	12 cases
Neidhardt 2017 [17]	Germany	215 non-BRCA mutated, familiar TNBC	FANCM (Coding region)	8 deleterious mutations	4 cases
Ollier 2015 [87]	France	50 non-BRCA mutated, familiar TNBC	36 DNA repair related genes (Coding regions, intron/exon boundaries)	7 deleterious mutation in RAD51D; MRE11A; CHEK2; MLH1; MSH6; PALB2	7 cases
Tung 2015 [81]	Caucasian/Hispanic/AJ/AA/Asian	87 TNBC	23 cancer susceptibility genes (Coding regions, intron/exon boundaries)	3 deleterious mutations in BR1P1; RAD51D; NBN	3 cases
Sun 2017 [19]	China	1104 TNBC	44 cancer susceptibility genes (Coding regions, intron/exon boundaries)	53 deleterious mutations mainly in PALB2, TP53, RAD51D and ATM	53 cases
Couch 2015 [6]	Caucasian/Hispanic/AA/Asian	1824 TNBC	15 other breast cancer susceptibility genes (Coding regions, intron/exon boundaries)	67 deleterious mutations mainly in PALB2, BARD1, BR1P1, RAD51C, RAD51D, RAD50, and XRCC2	67 cases

Apart from studies specially investigating the role of PALB2 and FANCM in TNBC, multiple gene panels including DNA repair related genes or cancer susceptibility genes, were applied to investigate TNBC associated germline mutations. Sun et al. detected the frequency of other breast cancer susceptibility genes (BOCG) mutations (3.8%) in a large series of 1104 TNBC cases [19]. TNBC had the highest prevalence of other BOCG mutations among all breast cancers, in which PALB2, TP53, RAD51D, and ATM were defined as most frequently mutated genes. Besides, Couch et al. reported higher mutation rates (3.7%) of other BOCG mutations in 1824 unselected TNBC patients. Genes participating in DNA repair pathway, mainly PALB2, BARD1, BRIP1, RAD51C, RAD51D, RAD50, and XRCC2, accounted for the highest proportion [6]. These data supported that TNBC mostly was enriched for germline mutations in other predisposition genes among all molecular groups of breast cancer, implying high genome instability and heterogeneity of TNBC.

Conclusively, more deleterious mutations in multiple genes, including BRCA1, BRCA2 and other predisposition genes are associated with TNBC. The roles and clinical utility of BRCA genes have been widely established in clinic. BRCA1/2 mutation carriers might consider bilateral mastectomy and oophorectomy to lower BRCA associated risk. However for other genes, studies concerning the risk and penetrance to TNBC are relatively scarce. There are no available clinical management guidelines for mutations in other predisposition genes except BRCA1/2, which urges future research to estimate better cancer risk and establish management guidelines for these mutations.

Somatic mutations in triple negative breast cancer

Distinctive distribution of somatic mutations in TNBC

Advances in NGS have uncovered genomic complexity of breast cancer. The frequency of somatic mutations among breast cancer groups also differs [20]. From data of The Cancer Genome Atlas (TCGA), in luminal A breast cancer, PIK3CA was the most frequently mutated genes (45%), followed by mutations in GATA3 (14%), and mutations in MAP3K1 (13%), TP53 (12%). Luminal B cancers mainly have the mutation of PIK3CA, GATA3, and TP53, with the frequency of 29, 15, and 29% respectively. However, TNBC shows a different mutation landscape, with highest frequency of TP53 mutations, up to 80%, and lowest frequency of PIK3CA mutations, which only accounts for 9% [21]. Besides, the loss of tumor suppressor BRCA1, PTEN, and amplification of MYC oncogene, present commonly in TNBC [22]. Concurrent RB1 and TP53 alterations appear in almost 40% of basal-like breast cancers [23]. Overexpression of MYC has been noted with its amplification of 26% in triple negative group.

Recent comprehensive genomic sequencing has suggested a distinctive mutational spectrum across TNBC subtypes [20, 24]. Basal subtype TNBC exhibits more variations than non-basal. TP53 is more frequently mutated in basal-like TNBC, with nonsense and frameshift mutations enriched. However, mutations in the PI3K pathway tend to appear in non-basal TNBC. Alterations in PI3K signaling in TNBC mainly include mutations in PIK3CA, the loss of PTEN and INPP4B [25]. These remind adequate selection of TNBC patients with PI3K pathway activation to PI3K pathway targeted therapy. Except PIK3CA, and TP53, the majority of other significantly mutated genes in non-TNBC, rarely occur in basal-like TNBC [26]. Apocrine TNBC, a subtype with increased androgen receptor expression, harbors a significantly higher rate of PI3K pathway mutations and NF1 mutations [27]. However, fewer cases display TP53 mutations (25%) and MYC gains (0%) [27]. Conclusively, these data observed that TNBC displayed a distinctive landscape of somatic genetic alterations among different molecular subtypes. Given these acquired investigations, more researches are needed to detailedly dissect the genetic alterations of specific subtypes in triple negative breast cancer.

Efforts aiming to identify driver mutations in TNBC

Although the genome profiling analysis has provided more comprehensive tools to identify the molecular differences or similarities in breast cancer [28, 29], it speaks little to driver mutations that lead to breast cancer evolution [21, 22]. The continuing advance of NGS has made it possible to systematically identify driving events, which will undoubtedly lead to novel therapeutic targets in TNBC.

Herculean efforts described repertoire of potential driver mutations and mutational processes in breast cancer, and uncovered that novel driver mutations existed in rare groups of patients, making it difficult for their identification, and throwing out challenges to drug discovery and clinical application [30]. In triple negative groups, Shah and colleges investigated the complete mutational and clonal spectrum in 104 early TNBCs [24]. The early TNBC displayed a diverse mutational or clonal landscape, with some exhibiting only a few somatic events and limited pathways, whereas others exhibited hundreds of mutations and involved pathways. Moreover, they revealed that within TNBC, basal subtype tended to exhibit more clonal frequency compared with the non-basal. This study also emphasized driver mutations, including TP53, PIK3CA/PTEN, appeared higher clonal frequency [24]. Banerji and colleagues sequenced to identify recurrent somatic mutations in breast cancer, including PIK3CA, TP53, AKT1, GATA3, MAP3K1, CBFB, and RUNX1 [31]. In TNBC, a recurrent MAGI3-AKT3 fusion was identified to activate AKT kinase, suggesting the utilization of AKT small-molecule inhibitors in fusion-positive TNBC patients [31]. Furthermore, there was evidence that novel recurrent structural variations within the enhancer region of TGFR, a gene encoding the high affinity ligand for epidermal growth factor receptor (EGFR), occurred in TNBC [32]. Combining with the findings that ectopic expression of TGFA promoted cell growth on MCF10A cells, we might consider TGFA as a therapeutic target [33]. Anti-EGFR agents as a clinically important implication for TNBC patients should be of particular interest to researchers.

Conclusively, evidence exhibited tremendous diversity of mutational processes and clonal populations in breast cancer [34]. Researches were also conducted in triple negative group [24]. Integrating these researches enables to subdivide breast cancer and uncover a set of likely driver genes. Despite progress in understanding these driver events, it is still extremely difficult to apply the investigations to clinical use. The immediate significance of these data in clinical application is unknown. More efforts should be conducted upon the functional analysis and clinical identification of these mutations [35].

Therapeutic strategies from mutational spectrum of TNBC

TNBC remains a breast cancer type with limited options for treatment and a median survival of 19 months [36]. However, a number of therapeutic strategies based on the identification of a few dozen to a few hundred potentially functional impact somatic and germline variants are currently undergoing intensive research [37]. Despite that TNBC is known not to harbor a high frequency of driver mutations, performing a tailored selection of patients with feature of targetable mutant proteins or pathways to individual therapeutic regimens may lead to comparative success in treatment of this heterogeneous disease.

In addition, in the May 2018 issue of Cell, Kim et al. showed a herculean effort of single-cell DNA and RNA sequencing in addition to bulk exome sequencing to investigate the genomic and phenotypic evolution of tumor cells in 20 TNBC patients in response to neoadjuvant chemotherapy (NAC), which revealed two distinct groups of clones: clonal extinction and clonal persistence [38]. In the clonal persistence group, patients had residual mutations after treatment. However, in the clonal extinction patients, there were no detectable mutations. Chemotherapy eliminated the tumor cells, leaving only normal diploid cells. Further detailed analysis identified a model of chemoresistance in which both adaptive and acquired evolution cooperated to establish the resistant tumor clones [38]. This study represents a future direction of identifying patients with the chemoresistant-related genomic and phenotypic alterations that could seed metastasis and confer therapeutic resistance, which could contribute to enable better tailored-therapeutics based on genomic profile of TNBC.

Targeting DNA damaging repair pathways

“Omics” based studies have identified a subgroup of TNBC with a deficiency of DNA repair, mainly attributed to mutations or methylation of BRCA1/2, and somatic or germline mutations of other genes involved in DNA damage repair [6, 20, 24]. There is renewed interest of platinum-based chemotherapy in TNBC after preclinical data supporting high benefit of inter-strand cross-linking agents, such as platinum, in BRCA-related subtype. More recently, two large phase 2 randomized trials have provided solid evidence to apply platinum in the adjuvant setting of TNBC: the Geparsixto (NCT01426880) and CALGB40603 (NCT00861705) trials [39, 40]. The Geparsixto trial, in its TNBC subset, 53.2% of 158 patients achieved a pathologic complete response (pCR) with carboplatin, comparatively 36.9% in 136 TNBCs without carboplatin. CALGB40603 reported that the addition of carboplatin with/without bevacizumab to NACT regimen increased pCR rates in 443 TNBC patients. These two studies published the data of disease-free survival (DFS), event-free survival (EFS) and overall survival (OS) recently. In GeparSixto, the addition of carboplatin led to an increase of 3-year DFS by approximately 10%. However, in CALGB40603 trial, no benefit of EFS and OS was observed despite an increased pCR rate [41, 42]. Another TNT trial provided no evidence of unselected advanced TNBC patients more likely to respond to first-line carboplatin than docetaxel, whereas in patients with BRCA1/2 mutations, carboplatin was superior to docetaxel [43]. These findings suggest earlier tailored therapy for BRCA-mutated TNBC in both metastatic and non-metastatic settings.

A proof-of-concept study for poly (adenosine diphosphate-ribose) polymerase (PARP) inhibitors in patients with BRCA1 or BRCA2 mutations and advanced breast cancer provided an impressive objective response rate (ORR) of 44% when administrated with olaparib, the mostly investigated PARP inhibitor [44]. Further confirmation in the superiority of PARP inhibitor was conducted in EORTC 1307/BIG 5–13 (BRAVO; NCT01905592; niraparib), EMBRACA (NCT01945775; talazoparib), and OlympiAD (NCT02000622; olaparib). The recent OlympiAD trial detected a longer PFS of 7.0 months in olaparib group than 4.2 months (HR = 0.58, 95%CI: 0.43–0.80,p<0.001) in the standard-therapy group in BRCA mutated and HER-negative metastatic breast cancer [45]. The response rate was obviously higher in olaparib group (59.9%) than standard-therapy group (28.8%). With respect to most BRCA1/2 carriers attributing to TNBC, olaparib could provide a significant benefit among TNBC patients deficient in DNA damage repair. Moreover, we support a promising future of the combination use of PARP inhibitors and platinum in BRCA mutated TNBC based on the positive finding from I-SPY2 trial of veliparib-carboplatin [46]. Except BRCA1/2, most germline mutations associated with TNBC are mainly distributed in DNA damage repair pathway. As described above, these genes include PALB2, FANCM, RAD51D, CHEK2, and others. Therapy design for these mutated genes is scarce. We support the utility of DNA cross-linking agents in combination with targeted agents to improve curative effect for this particular group.

Overriding TP53 mutations related chemotherapy insensitivity

TNBC frequently harbors somatic mutations in TP53, a pivotal factor involved in arresting cells in execution of DNA damage response. Loss of p53 conferred chemotherapy resistance in cancer [47], which is partly responsible for the poor prognosis of TNBC. The insensitivity could be reversed by the override of cell cycle checkpoints, which includes direct inhibition of DNA damage significant kinases ATM, ATR, CHK1/2 or wee1 [48, 49]. The inhibition of ChK1 causes abrogation of the G2/M checkpoint in p53-deficient cells with a dysfunctional G1/S checkpoint, thus sensitizing tumors to cytotoxic agents. Since TNBC is extremely associated with TP53 mutation, in HIM TNBC xenograft model, Cynthia and colleges proved that combination therapy with irinotecan and Chk1 inhibitor (either UCN-01 or AZD7762) induced checkpoint bypass and apoptosis in TP53 mutated tumors [50]. Multiple clinical trials investigating the efficacy of DNA damaging agents combined with Chk1 inhibitor in solid tumor showed promise for TNBC [51, 52]. Despite an unimpressive clinical activity in a phase 2 study of UCN-01 in 25 metastatic TNBC patients, the failure could be attributed to the low pharmacokinetic property of UCN-01 [53]. Another phase 2 trial (NCT02203513) of LY2606368, another Chk1 inhibitor, in patients with germline BRCA mutations or TNBC, is currently being conducted. We are looking forward to future results.

Inhibition of PI3K-AKT-mTOR pathway

The homeostasis of PI3K-AKT signaling pathway is mostly broken by the mutations or amplifications of genes encoding the PI3K catalytic subunits (PIK3CA, PIK3CB), PI3K regulatory subunit (PIK3R1), PI3K effectors (AKT1, AKT2, PDK1), AKT-independent mTOR pathway activator (STK11) and the loss of PTEN and INPP4B [25]. However, in TNBC, with the relatively low frequency of PIK3CA mutations, the loss of PTEN and INPP4B are higher altered in this group compared with other subtypes [54]. Both the M and LAR subtype frequently harbors frequent aberrations in PI3K pathway. Cell lines in these two subtypes preferentially responded to the dual PI3K/mTOR inhibitor NVP-BEZ235 [5]. Furthermore, PI3K signaling pathway can stabilize DNA double-strand breaks and preserve DNA homologous repair state [55]. In BRCA-proficient TNBC model, PI3K inhibition was proven to induce DNA damage, downregulate BRCA1/2, and subsequently sensitized cells to PARP inhibitors. In effect, this inhibition created a BRCA-deficient state [56]. Despite lower frequency of PIK3CA mutations in TNBC, targeting TNBC with the activation of PI3K-AKT-mTOR pathway provides clinical benefit in this subgroup. Current clinical trials (NCT01629615; NCT01790932) of the pan-PI3K inhibitor BKM120 have been conducted to investigate the benefit of single agent BKM120 in metastatic TNBC. A further setting in which the pan-PI3K inhibitor BKM120 or PI3Kα selective inhibitor BYL-719 is combined with PARP inhibitor has been carried out to evaluate in recurrent TNBC (NCT01623349).

Blocking agents aiming at the mTOR kinase are the most studied drugs. Everolimus, as a rapamycin analog, was pronounced in patients with activated PI3K pathway [57, 58]. Preclinical studies in TNBC have validated that the anti-mTOR agents could sensitize basal like breast cancers to cytotoxic drugs or PARP inhibitors [59]. In a BRCA-competent TNBC model, GDC-0980, a dual inhibitor of PI3K and mTOR sensitized the utility of ABT-888 and carboplatin, implying PI3K-AKT-mTOR pathway being involved in DNA damage repair (DDR) mediated antitumor activity of PARP inhibitor in TNBC [60]. Clinical trials of everolimus have been carried out in TNBC patients with some results brought out. A phase 2 trial in primary TNBC randomized 50 patients to receive T-FEC (paclitaxel, 5-fluorouracil, epirubicin, and cyclophosphamide) with/without everolimus. Twelve-week response rate were obtained for the everolimus arm and non-everolimus arm (48% versus 30%) [61]. In another phase 1 trial of mTOR inhibition combined with doxorubicin and bevacizumab for 52 metaplastic TNBC patients, Notable objective response was limited to patients with PI3K pathway alterations. Alterations of PI3K pathway were associated with objective response [62]. Together, these promising data warrants further selection of TNBC patients with activated PI3K-AKT-mTOR pathway to receive PI3K inhibitors or mTOR inhibitors.

Targeting EGFR pathway

Clinical trials of EGFR-targeted TKIs targeting EGFR amplification in TNBC generally failed to yield promising results with the use of TKI monotherapy or in combination with chemotherapy [63, 64]. However, in lung cancer, the success of EGFR-targeted TKIs was achieved due to the antitumor activity in tumors harboring activating mutations in tyrosine kinase domain. We suspect the efficacy of TKIs in TNBC mainly attributed to patients with EGFR activating mutations. Most studies detected a rare frequency of activating EGFR mutations in TNBC, whereas we found a discrepant and controversial incidence of EGFR mutations in TNBC between East Asians and Caucasians. In European and Australian research, no or low activating EGFR mutations were identified [65, 66]. In contrast, two studies from Asia detected high EGFR mutation frequencies of 11.4% (8/70) and 7.7% (1/13) in TNBC or basal like cancers separately [67, 68], whereas other studies found no evidence of EGFR gene activating mutations in Japanese and Chinese cohorts [69, 70]. It is still controversial if the same discrepancy of EGFR mutations among ethnicities, which has been reported in lung cancer, exits in TNBC. More efforts will be required to investigate if a portion of TNBC patients may respond to TKI agents.

Therapeutics for other potential mutations

Rb is frequently lost in TNBC due to inactivating mutations of RB1 or loss of heterozygosity (LOH) [71]. Rb deletion cooperating with mutations in TP53, lead to aggressive, epithelial-to-mesenchymal transition (EMT)-type tumors. Rb loss is not directly druggable and restoration of Rb function following mutation or deficiency is not feasible. However, targeting its downstream could be actionable. In preclinical model, Rb deficiency coordinated cell cycle progression, and simultaneously increased mitochondrial protein translation (MPT), which sensitized tumor cells to the MPT antagonist tigcycline (TIG). This points to a vulnerability of RB1-deficient TNBC to be treated with TIG, or other MPT inhibitors, which needs to be investigated in clinical settings of RB1-deficient TNBC [23]. Furthermore, given that Rb-deficient cells express high levels of pro-apoptotic factors, therapeutic induction of E2F1, or other pro-apoptotic factors may specially kill Rb-deficient cells [72]. Additionally, therapeutic strategies aiming at the signaling processes associated with Rb deficiency, including hypoxia, glycolysis and EMT process, may be promising approaches to the treatment of Rb deficient cells.

Activating mutations of the genes involved in RAF-MEK1/2-ERK1/2 signaling are quite infrequent in TNBC, and only occur in<5% TNBC cases [26, 73]. Ras/MAPK activity can be aberrantly stimulated via the overexpression of RTKs or copy number alterations of KRAS and BRAF. Also, loss of DUSP4 or somatic alterations of NF1 in TNBC can contribute to the activation of RAF/MEK/ERK pathway [74, 75]. Preclinical studies have demonstrated that basal type breast cancer cells have an activated RAS-like transcriptional program and are significantly more sensitive to MEK inhibitors compared with luminal and HER-2 amplified lines. Basal-like cells are more likely to harbor mutations in BRAF, HRAS, or KRAS [76]. Treatment with MEK inhibitor caused the up-regulation of PI3k signaling, and dual inhibition of both pathways could achieve better anti-tumor effects both in vitro and in vivo [77]. These studies provide a rational hypothesis of patient selection in clinical trials seeking to evaluate the clinical effect of MEK and PI3K inhibitors in TNBC.

Conclusions

Germline or somatic mutations could shed light on the treatment of TNBC. TNBC deficient in DNA damage repair due to germline mutations could preferentially respond to DNA cross-linking agents, or PARP inhibitors. Tumors with altered PI3K pathway are more likely sensitive to PI3K/mTOR inhibitors. TNBC with TP53 mutations could restore its sensitivity to chemotherapy by targeting cell cycle checkpoints (Fig. 1). Given the limited therapeutic effect of one pathway inhibition in targeted therapy, multi-gene mutational profiles in single patient may increase the opportunity for application of combining two or more targeted agents with the tolerated toxicities [78-88].

Fig. 1

TNBC: The current and upcoming therapeutic strategies targeting the mutant proteins or pathways to enable tailored-therapeutics. Therapeutics target at genetic alterations include defects in DNA damage repair, TP53 mutations, activation of PI3K pathway, EGFR amplification/mutations, activation of RAF-MEK signaling, and Rb loss. These genetic alterations were summarized in the white boxes of the diagram. Potential therapeutic strategies were depicted in red boxes