Literature DB >> 30186165

Association Between BRCA Status and Triple-Negative Breast Cancer: A Meta-Analysis.

Haixia Chen1, Jianming Wu1, Zhihong Zhang2, Yong Tang1, Xiaoxuan Li1, Shuangqing Liu2, Shousong Cao1, Xianzhu Li2.   

Abstract

Triple-negative breast cancer (TNBC) is a subtype of aggressive breast cancer and characterized by a lack of the expression of estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2. BRCA genes are tumor-suppressor genes that are involved in DNA damage repair and mutations of BRCA genes may increase the risk of developing breast cancer and/or ovarian cancer due to defective DNA repair mechanisms. However, the relationship between BRCA status and TNBC needs to be further investigated and validated. The aim of this meta-analysis was to evaluate the association between BRCA status and TNBC. We systematically searched the electronic databases of MEDLINE (PubMed), Embase, and Cochrane Library to identify relevant publications from April, 1959 to November, 2017. The data from the studies were examined by a meta-analysis using STATA software to calculate the odds ratio (OR) with 95% confidence interval (CI) by fixed-effect and random-effect models. We identified 16 qualified studies from 527 publications with 46,870 breast cancer patients including 868 BRCA1 mutations (BRCA1Mut ) carriers, 739 BRCA2 mutations (BRCA2Mut ) carriers, and 45,263 non-carriers. The results showed that breast cancer patients with BRCA1Mut carriers were more likely to have TNBC than those of BRCA2Mut carriers (OR: 3.292; 95% CI: 2.773-3.909) or non-carriers (OR: 8.889; 95% CI: 6.925-11.410). Furthermore, high expression of nuclear grade and large tumor burden (>2 cm) were significantly more common in breast cancer patients with BRCA1Mut carriers than those of BRCA2Mut carriers (OR: 2.663; 95% CI: 1.731-4.097; P = 0.211) or non-carriers (OR: 1.577; 95% CI: 1.067-2.331; P = 0.157). The data suggest that breast cancer patients with BRCA1Mut are more likely to have TNBC, high nuclear grade, and larger tumor burden.

Entities:  

Keywords:  BRCA1; BRCA2; Triple-negative breast cancer (TNBC); meta-analysis; mutation

Year:  2018        PMID: 30186165      PMCID: PMC6111442          DOI: 10.3389/fphar.2018.00909

Source DB:  PubMed          Journal:  Front Pharmacol        ISSN: 1663-9812            Impact factor:   5.810


Introduction

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with a higher risk of both local and distant recurrence and poor overall prognosis and it accounts for about 10–20% of all cases of breast cancer (Foulkes et al., 2010; Ovcaricek et al., 2011; Boyle, 2012). TNBC is characterized by a lack of the expression of estrogen receptor (ER), progesterone receptors (PR) and human epidermal growth factor receptor two (HER2/neu), thus, offers no validated molecular targets for treatment (Onitilo et al., 2009). The BRCA1 and BRCA2 genes are tumor-suppressor genes and involved in DNA damage repair and recombination, cell-cycle checkpoint control, apoptosis and transcriptional regulation (Venkitaraman, 2014). Mutations in BRCA genes induce defective DNA repair mechanisms, which are associated with the risk of development of breast and/or ovarian cancers (Peng et al., 2016). Some studies showed that BRCA1 mutation (BRCA1t) carriers were more likely to have ER-negative/PR-negative breast cancer (Musolino et al., 2007; Byrski et al., 2008; Kirk, 2010). In contrast, BRCA2 mutation (BRCA2) carriers seem to share the pathologic characteristics similar to those of patients with normal BRCA genes (non-carriers) (Noguchi et al., 1999). However, Comen et al. (2011) found that the association between TNBC and BRCA mutations was not only limited to BRCA1, but also a significant proportion of women with TNBC had BRCA2. Currently, the relationship between the status of BRCA mutation and the statuses of ER, PR, HER2/neu and P53 have been inconsistent (Maegawa and Tang, 2010; Wu et al., 2010). With the development of targeted therapies for breast cancer patients, designation of treatment regimens has become more specific, and breast cancer patients with BRCA mutations should be treated differently from the patients without BRCA mutations. Therefore, the exact relationship between BRCA status and TNBC needs to be further investigated and validated. We therefore performed a meta-analysis to investigate the association between the status of BRCA mutations and TNBC and the effect of BRCA on nuclear grade and tumor size in patients with breast cancer.

Materials and methods

Data sources and search strategy

We systematically searched the databases of MEDLINE (PubMed, http://www.ncbi.nlm.nih.gov/pubmed/), Embase (http://www.embase.com), and Cochrane Library (www.cochranelibrary.com) for relevant publications of primary studies, and used the following search algorithm: breast cancer, breast carcinoma, mammary cancer, breast tumor and BRCA1 or BRCA2, BRCA, and triple negative breast cancer, TNBC or molecular typing, type or subtype of breast cancer. The databases were searched for the studies published from April, 1959 to November, 2017.

Study selection

The inclusion criteria were as follows: (a) comparative studies of breast cancer patients with BRCA1, BRCA2, and non-carriers; (b) studies were published as a full paper in English; (c) the statuses of ER, PR and HER2 were measured by immunohistochemistry; and (d) high-quality case-control studies (Newcastle-Ottawa Scale [NOS] score ≥ 7 points). The exclusion criteria were as follows: (a) review articles; (b) study was based on preclinical setting such as cell culture and/or animal models of feline mammary cancer; (c) study did not discuss BRCA1 and BRCA2 mutations separately; and (d) study had no inclusion, or duplicated data from other studies.

Data extraction

Two investigators independently extracted the date from each study including the first author; year of publication; country of study; numbers of subjects with (a) non-carrier with TNBC, (b) non-carriers without TNBC, (c) BRCA1 carrier with TNBC, (d) BRCA1 carrier without TNBC, (e) BRCA2t with TNBC and (f) BRCA2 carrier without TNBC; tumor size and nuclear grade with a standardized form. Additional investigators were consulted when discrepancies were present.

Population, interventions, comparators, outcomes and study designs (PICOS)

The population from the study is patients with breast cancer. Genetic testing of BRCA mutations was performed in these patients. BRCA status (BRCA1 mutations carriers, BRCA2 mutations carriers, and non-carriers) was compared and the outcomes of incidence of TNBC, expression of nuclear grade and tumor burden (>2 cm) were evaluated in these patients. The study designs were to evaluate the association between BRCA status and TNBC as well as the relationship of BRCA mutations and the expression of nuclear grade and tumor burden.

Quality assessment

The quality of each study was independently evaluated by at least two examiners who read each study and scored it according to the NOS criteria (Deeks et al., 2003). The average NOS score was 7.4 points.

Statistical analysis

The STATA software version 12.0 (Stata Corp, College Station, TX, USA) was used to perform this meta-analysis. Dichotomous outcomes were analyzed using the OR with 95% CI as the summary statistics, as previously described in the Mantel–Haenszel method (Mantel and Haenszel, 1959; Greenland and Robins, 1985). Statistical heterogeneity was evaluated by a X2 test (Higgins et al., 2003). The Higgins I2 test measured inconsistency between studies; values of <25, 25–50, and >50% were defined as low, moderate and high, respectively (DerSimonian and Laird, 1986). Data were analyzed with the fixed-effect model for low or moderate consistency and with the random-effect model for high heterogeneity. We also performed sensitivity analysis by omitting specific studies to find potential outliers.

Results

Study selection and patient characteristics

A total of 527 publications were identified from the three databases, 219 from PubMed, 303 from Embase, and five from Cochrane Library. The titles and abstracts of all remaining publications (n = 349) were reviewed after removing the duplicate publications (n = 178) and 307 more publications were excluded as irrelevant to the topic. Next, 26 publications were further excluded for insufficient data (n = 15), feline mammary focus (n = 2), and non-original research (n = 9) after carefully examining the full texts of the remaining 42 publications. Finally, 16 eligible publications were included in the study of meta-analysis (Haffty et al., 2006; Atchley et al., 2008; Kwong et al., 2009; Arun et al., 2011; Comen et al., 2011; Gonzalez-Angulo et al., 2011; Xu et al., 2012; Noh et al., 2013; Li et al., 2014; Yu et al., 2014; Zugazagoitia et al., 2014; Aleskandarany et al., 2015; Gabaldó Barrios et al., 2017; Ghouadni et al., 2017; Ha et al., 2017; Krammer et al., 2017). The screening method and results of the relevant studies are shown in Figure 1 and the main characteristics of participated patients are summarized in Table 1.
Figure 1

Flow chart for study selection.

Table 1

The main characteristics of patients included in the studies.

First authorCountry/regionYearMedian age (year)BRCA1Mut(n)BRCA2Mut(n)Non-carrier (n)
TNBCNon-TNBCTNBCNon-TNBCTNBCNon-TNBC
HafftyUSA2006NA (NA)82161329
AtchleyUSA200843 (21–75)322472354337
KwongHong Kong200942 (21–82)8461145131
ComenUSA201157.1(NA)19661539364
ArunUSA201140 (21–73)3319221NANA
Gonzalez-AnguloUSA201151 (27–83)1262362NANA
XuChina201150.6 (29–76)282482040232
NohKorea201340 (28–52)16961630143
YuKorea2014NA (12–96)493113886,84234,758
ZugazagoitiaSpain201432 (NA)7517NANA
LiChina201439.7 (24-64)1878778NANA
AleskandaranyUK201542 (NA)31152252971552
KrammerGermany201744.1(24–82)1289926185NANA
HaKorea201739.7(25–72)52472776NANA
GhouadniFrance201752 (38–58)188310NANA
Gabaldó BarriosSpain2017NA251383243252

n, number; NA: not applicable.

Flow chart for study selection. The main characteristics of patients included in the studies. n, number; NA: not applicable. The included studies were conducted in eight countries or regions as USA 5, Korea 3, China 2, Hong Kong 1, UK 1, Germany 1, France 1, and Spain 2, the published date was between 2006 and 2017. 45,870 patients were included in the studies, with the median age ranged from 32.0 to 57.1 years, 868 BRCA1 carriers, 739 BRCA2 carriers, and 45,263 non-carriers (Table 1).

Association of BRCA status and TNBC

We found that BRCA1 carriers were more likely to have TNBC than those of BRCA2 carriers (OR: 3.292; 95% CI: 2.773–3.909) or non-carriers (OR: 8.889; 95% CI: 6.925–11.410) among the patients with breast cancer (Figure 2). Because heterogeneity was found across the studies (I2 = 35.2%, heterogeneity X2 = 23.16; d.f. = 15; P = 0.081), the pooled OR was calculated as 3.292 (95% CI: 2.773–3.909) by a fixed-effect model. Furthermore, BRCA1 carriers were significantly more likely to have TNBC than those of non-carriers (Figure 3). There was significant heterogeneity in the studies (I2 = 59.9%, heterogeneity X2 = 19.94; d.f. = 8; P = 0.011), the pooled OR was calculated as 4.011 (95% CI: 3.362–4.786) by a fixed-effect model. Interestingly, the incidence of TNBC was not significantly different between BRCA2 carries and non-carriers (Figure 4). Because the studies were significantly heterogeneous (I2 = 48.0%, heterogeneity X2 = 15.39; d.f. = 8; P = 0.052), the pooled OR was calculated as 1.188 (95% CI: 0.929–1.518) by a random-effects model.
Figure 2

The odds ratio (OR) of BRCA1 mutations vs. BRCA2 mutations in patients with TNBC by Forest Plot.

Figure 3

The odds ratio (OR) of BRCA1 mutations vs. non-carriers in patients with TNBC by Forest Plot.

Figure 4

The odds ratio of BRCA2 mutations vs. non-carriers in patients with TNBC by Forest Plot.

The odds ratio (OR) of BRCA1 mutations vs. BRCA2 mutations in patients with TNBC by Forest Plot. The odds ratio (OR) of BRCA1 mutations vs. non-carriers in patients with TNBC by Forest Plot. The odds ratio of BRCA2 mutations vs. non-carriers in patients with TNBC by Forest Plot.

Association of BRCA status and nuclear grade or tumor burden

As shown in Table 2, high expression of nuclear grade was more common in the breast cancer patients with BRCA1 carriers than those of patients with BRCA2 carriers (OR: 2.663; 95% CI: 1.731–4.097; P = 0.211). Moreover, Tumors were more likely to exceed 2 cm in the breast cancer patients with BRCA1 carriers than those of patients with BRCA2 carriers (OR: 1.577; 95% CI: 1.067–2.331; P = 0.157).
Table 2

Associations between BRCA mutation status and tumor size or nuclear grade.

First authorBRCA1Mut(n)BRCA2Mut(n)BRCA1Mut(n)BRCA2Mut(n)NOS
TS ≤ 2cmTS > 2cmTS ≤ 2cmTS > 2cmNG 1,2NG 3NG 1,2NG 3
HafftyNANANANANANANANA8
AtchleyNANANANANANANANA8
Kwong61872NANANANA7
ComenNANANANANANANANA7
Arun651518104511108
Gonzalez-AnguloNANANANANANANANA7
Xu1141820203214147
Noh151025761920127
Yu37385438203033297
Zugazagoitia61872NANANANA7
LiNANANANANANANANA7
Aleskandarany24241116NANANANA8
KrammerNANANANA651601101057
Ha49404153455466377
GhouadniNANANANANANANANA7
Gabaldó BarriosNANANANANANANANA7

TS, tumor size; NG, nuclear grade; NOS, new castle-ottawa Scale; n, number; NA, not applicable.

Associations between BRCA mutation status and tumor size or nuclear grade. TS, tumor size; NG, nuclear grade; NOS, new castle-ottawa Scale; n, number; NA, not applicable.

Sensitivity analyses and publication bias

Sensitivity analyses showed that two publications from Li et al. (2014) and Xu et al. (2012) accounted for all the observed heterogeneity. The I2 was 34.5% when all studies were included in the analysis. However, the I2 was reduced to 20.5% when the study of Li et al. (2014) was excluded and it was further dropped to 18.1% when the study of Yu et al. (2014) was also removed from the analysis. The results suggest that those two papers significantly influenced the overall analysis. Begg's tests indicated that no publication bias was observed in this meta-analysis for association between BRCA1 and BRCA2 (P = 0.499; Figure 5), or between BRCA1 and non-carriers (P = 0.348; Figure 6).
Figure 5

Indication of publication bias for the association between BRCA1 mutations and BRCA2 mutations by Begg's Funnel Plot with pseudo 95% confidence limits. The data indicate that there was no obvious indication of publication bias.

Figure 6

Indication of publication bias for the association between BRCA1 mutations and non-carriers by Begg's Funnel Plot with pseudo 95% confidence limits. The data indicate that there was no obvious indication of publication bias.

Indication of publication bias for the association between BRCA1 mutations and BRCA2 mutations by Begg's Funnel Plot with pseudo 95% confidence limits. The data indicate that there was no obvious indication of publication bias. Indication of publication bias for the association between BRCA1 mutations and non-carriers by Begg's Funnel Plot with pseudo 95% confidence limits. The data indicate that there was no obvious indication of publication bias.

Discussion

We investigated the association between BRCA status and TNBC (a subtype of breast cancer) and the characteristics of breast cancer patients with BRCA1 and BRCA2 using a meta-analysis. The currently specific criteria of guidelines from the National Comprehensive Cancer Network (NCCN) for test of BRCA1 and BRCA2 include patients' ages at diagnosis and their family members; family histories of breast, ovarian, pancreatic and prostate cancers, and diagnosed TNBC (National Comprehensive Cancer Network, 2017). Up to date, approximately 300 mutations within the BRCA1 gene have been identified, including small insertions, deletions and non-sense mutations, most of them lead to functionally inactive proteins (Miki et al., 1994; Simard et al., 1994). BRCA2 is a tumor suppressor gene that mediates the repair of chromosomal damage (Yoshida and Miki, 2004). In the present study of meta-analysis, we found that TNBC was more common among the breast cancer patients with BRCA1 than those of patients with BRCA2 (OR: 3.292; 95% CI: 2.773–3.909) or non-carriers (OR: 8.889; 95% CI: 6.925–11.410). In an unselected cohort study in 77 patients with TNBC, it was found that 15 (19.5%) had BRCA mutations including 12 (15.6%) in BRCA1 (one somatic) and 3 (3.9%) in BRCA2 (Gonzalez-Angulo et al., 2011). In addition, a significantly lower risk of relapse was found in TNBC patients with BRCA mutations (Gonzalez-Angulo et al., 2011). The underlying mechanism that links BRCA1 to ER negativity has been the focus of ongoing investigations. Hosey et al. (2007) discovered that BRCA1 tumors fail to express ER due to the loss of BRCA1-mediated transcriptional activation of estrogen receptor 1 (ESR1). Reduction or absence of BRCA1 in breast cancer occurs through several mechanisms including hypermethylation of the BRCA1 promoter, loss of heterozygosity, and transcriptional regulation of BRCA1 (Catteau et al., 1999; Baldassarre et al., 2003). However, the exact mechanism for the transcription of BRCA1 is highly complex and remains unknown. Further studies are needed to gain insight into the interaction between BRCA1 and ER, and its potential effects on the expressions of PR and HER2. BRCA2 breast cancer has the pathologic features similar to those of sporadic breast cancers (Lee et al., 2010). The incidence of TNBC was not significantly different between patients with BRCA2 and non-carriers (OR: 1.203; 95% CI: 0.871–1.660). Hosey et al. (2007) suggested that breast cancer patients with BRCA2 were unlikely to be ER-deficient because of the ability of estrogen metabolites to induce loss of the second BRCA1 allele, thus, estrogen may somehow facilitate the survival of BRCA1-deficient cells in hormonally responsive tissues. Interestingly, in the present study, we found that a high nuclear grade was also more common in the tumors from BRCA1 patients than in those of patients with BRCA2 carriers (OR 2.663; 95% CI: 1.731–4.097; P = 0.211) and the tumors with BRCA1 were more likely to have nuclear grade three than those of tumors with BRCA2. This finding is consistent with the earlier studies in the literature (Musolino et al., 2007; Li et al., 2008; Xu et al., 2012). We also found that the tumors with BRCA1 were more likely to exceed 2 cm than those of tumors with BRCA2 ($OR 1.577; 95% CI: 1.067–2.331), although several studies have reported that the sizes of tumors were not significantly different between the tumors with BRCA1 and the tumors with BRCA2 (Xu et al., 2012; Noh et al., 2013; Yu et al., 2014). The observed difference of tumor size may be due to different clinical and pathological characteristics from the tumors with BRCA1 and BRCA2 leading to different prognosis in the patients with BRCA mutations. The findings may be significant with valuable information for oncologists to better understand the role of BRCA mutations in breast cancer patients and optimal treatment of TNBC. Some limitations of the study should be acknowledged in this meta-analysis. The methods of assessing ER/PR-negative status were varied among the studies. Most studies defined ER/PR-negative specimens as having <10% immunoreactive cells, whereas newer immunohistochemistry guidelines have used a threshold of <1%. BRCA mutation tests also lack uniformity, which may affect the outcomes. Therefore, selection bias was inevitable.

Conclusion

The present study suggests that TNBC was more common among the breast cancer patients with BRCA1 tumors than those of patients with BRCA2 tumors or non-carriers. Furthermore, a high expression of nuclear grade and large tumor burden (> 2cm) were significantly more common in BRCA1 patients than that of BRCA2 patients. The study provides valuable information for clinicians to better understand the role of BRCA mutations in breast cancer patients for providing optimal treatment and improving outcome clinically.

Author contributions

HC, JW, SC, and XZL designed the study and analyzed the data; HC, JW, ZZ, and XZL collected and assembled the data; HC, JW, YT, XXL, SL, SC, and XZL reviewed, analyzed, and interpreted the data. HC, JW, SC, and XZL assessed the risk of bias; HC, JW, and XZL wrote the first draft and SC wrote the final version of the manuscript. All authors discussed the results and contributed to the manuscript.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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