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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJMM</journal-id>
<journal-title-group>
<journal-title>International Journal of Molecular Medicine</journal-title></journal-title-group>
<issn pub-type="ppub">1107-3756</issn>
<issn pub-type="epub">1791-244X</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijmm.2018.3870</article-id>
<article-id pub-id-type="publisher-id">ijmm-42-06-3542</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Expression and mutations of <italic>BRCA</italic> in breast cancer and ovarian cancer: Evidence from bioinformatics analyses</article-title></title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname><given-names>Zhu</given-names></name><xref ref-type="corresp" rid="c1-ijmm-42-06-3542"/></contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Jianwen</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Ying</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>Deng</surname><given-names>Qiong</given-names></name></contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liang</surname><given-names>Hui</given-names></name><xref ref-type="corresp" rid="c1-ijmm-42-06-3542"/></contrib>
<aff id="af1-ijmm-42-06-3542">Department of Urology, People's Hospital of Longhua, Shenzhen, Guangdong 518109, P.R. China</aff></contrib-group>
<author-notes>
<corresp id="c1-ijmm-42-06-3542">Correspondence to: Dr Zhu Wang or Dr Hui Liang, Department of Urology, People's Hospital of Longhua, 38 Jianshe Road, Longhua, Shenzhen, Guangdong 518109, P.R. China, E-mail: <email>wangzhu1223@163.com</email>, E-mail: <email>dr.lianghui@aliyun.com</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>12</month>
<year>2018</year></pub-date>
<pub-date pub-type="epub">
<day>11</day>
<month>09</month>
<year>2018</year></pub-date>
<volume>42</volume>
<issue>6</issue>
<fpage>3542</fpage>
<lpage>3550</lpage>
<history>
<date date-type="received">
<day>18</day>
<month>11</month>
<year>2017</year></date>
<date date-type="accepted">
<day>27</day>
<month>03</month>
<year>2018</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2018, Spandidos Publications</copyright-statement>
<copyright-year>2018</copyright-year></permissions>
<abstract>
<p>Breast cancer 1 (<italic>BRCA1</italic>) and breast cancer 2 (<italic>BRCA2</italic>) are the most well-known genes linked to breast cancer and ovarian cancer, which are crucial in DNA repair and transcriptional regulation. The present study aimed to elucidate the expression profiles, mutations and interaction networks of <italic>BRCA1</italic> and <italic>BRCA2,</italic> which may provide insights to reveal the mechanisms of BRCA genes ultimately leading to breast or ovarian tumorigenesis. Bioinformatics analyses were performed in the present study. The mRNA levels of <italic>BRCA1</italic> and <italic>BRCA2</italic> were evaluated using FIREHOSE analysis, SAGE Genie tools and Oncomine analysis. cBioPortal analysis, and Catalogue Of Somatic Mutations In Cancer analysis were used to examine the <italic>BRCA1</italic> and <italic>BRCA2</italic> mutations. Kaplan-Meier Plotter analysis was performed to identify the prognostic roles of <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer and ovarian cancer. The results of the present study showed that the mRNA expression levels of <italic>BRCA1</italic> and <italic>BRCA2</italic> were elevated in breast cancer and ovarian cancer tissues, compared with their matched normal tissues. Second, several common mutations of <italic>BRCA1</italic> and <italic>BRCA2</italic> genes were identified in breast cancer and ovarian cancer. Finally, neurofibromin 1, synaptonemal complex protein 2 and tumor protein 53 were predicted to be involved in the interaction network of <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer and ovarian cancer. Taken together, these results provide a significant insight into certain mutations and proteins involved in the interaction network of <italic>BRCA1</italic> and <italic>BRCA2,</italic> which may have common roles in breast cancer and ovarian cancer. However, the complex mechanism underlying these observations remains to be fully elucidated, and further investigations are required in the future.</p></abstract>
<kwd-group>
<kwd>breast cancer</kwd>
<kwd>ovarian cancer</kwd>
<kwd>expression profile</kwd>
<kwd>bioinformatics</kwd>
<kwd>mutation</kwd>
<kwd>BRCA</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Breast cancer is the most frequent type of cancer, which is expected to account for 30% of all new cancer diagnoses in women in the United States (<xref ref-type="bibr" rid="b1-ijmm-42-06-3542">1</xref>). Ovarian cancer is also a significant contributor to morbidity and mortality rates, ranking as the seventh most common type of cancer and the eighth most common cause of cancer-associated mortality among women (<xref ref-type="bibr" rid="b2-ijmm-42-06-3542">2</xref>). The majority of breast cancer cases are a result of gene mutations, particularly mutations in breast cancer 1 (<italic>BRCA1</italic>) and/or breast cancer 2 (<italic>BRCA2</italic>), which put individuals at high risk for developing a secondary breast cancer and ovarian cancer (<xref ref-type="bibr" rid="b3-ijmm-42-06-3542">3</xref>). The <italic>BRCA1</italic> and <italic>BRCA2</italic> genes are tumor suppressors. <italic>BRCA1</italic> is a large gene, which comprises 24 exons located on chromosome 17 (17q21) and codes for a 1,863-amino acid protein with a zinc-binding Really Interesting New Gene finger motif at the amino terminus and a conserved acidic carboxyl terminal (BRCA1 C-terminal) motif (<xref ref-type="bibr" rid="b4-ijmm-42-06-3542">4</xref>,<xref ref-type="bibr" rid="b5-ijmm-42-06-3542">5</xref>). The <italic>BRCA2</italic> gene is located on chromosome 13 (13q12), which codes for a 3,418-amino acid protein, and shares structural and functional similarities with the <italic>BRCA1</italic> protein. It is currently understood that the normal protein products of <italic>BRCA1</italic> and <italic>BRCA2</italic> genes are important in double-strand DNA repairs by maintaining genomic integrity through RAD51 (<xref ref-type="bibr" rid="b6-ijmm-42-06-3542">6</xref>), and they are also involved in pathways associated with homologous recombination (<xref ref-type="bibr" rid="b7-ijmm-42-06-3542">7</xref>). However, once either of these genes is mutated or altered, DNA damage may not be repaired properly, likely leading to the occurrence of cancer. In patients with <italic>BRCA1</italic> and/or <italic>BRCA2</italic> mutations, the risk of breast cancer is significantly higher, compared with that in the general population, and the histological grade is also more aggressive (<xref ref-type="bibr" rid="b8-ijmm-42-06-3542">8</xref>-<xref ref-type="bibr" rid="b10-ijmm-42-06-3542">10</xref>). In addition, men and women carrying <italic>BRCA1</italic> and/or <italic>BRCA2</italic> mutations have a 50% chance of passing the mutations on to their children, termed hereditary breast and ovarian cancer syndrome, which is characterized by an increased risk of breast cancer and ovarian cancer (<xref ref-type="bibr" rid="b11-ijmm-42-06-3542">11</xref>). Therefore, understanding the expression and mutations of <italic>BRCA1</italic>/2 in breast cancer and ovarian cancer is urgently required in clinical practice, as is examining the mechanism of tumorigenesis.</p>
<p>Accumulated evidence has demonstrated that the expression levels of BRCAs are altered in several types of human cancer, and multiple mutations have been reported in breast cancer and/or ovarian cancer (<xref ref-type="bibr" rid="b12-ijmm-42-06-3542">12</xref>,<xref ref-type="bibr" rid="b13-ijmm-42-06-3542">13</xref>). However, the comprehensive analysis of the expression and mutation of <italic>BRCA</italic>, and its interaction networks is required to provide valuable information for clinical practice and evaluation of its mechanism. The present study mainly investigated the expression levels, mutations and interaction networks of <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer and ovarian cancer using bioinformatics analyses, which aimed provide insights to reveal the mechanism of <italic>BRCA</italic> genes ultimately leading to breast or ovarian tumorigenesis.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>FIREHOSE analysis for BRCA1 and BRCA2</title>
<p>The expression profile of <italic>BRCA1</italic> and <italic>BRCA2</italic> across various human cancer types was examined through the Broad Institute FireBrowse portal (<ext-link xlink:href="http://firebrowse.org/" ext-link-type="uri">http://firebrowse.org/</ext-link>). On the homepage, &#x02018;<italic>BRCA1</italic>&#x02019; or &#x02018;<italic>BRCA2</italic>&#x02019; were added to the search box and &#x02018;View Expression Profile&#x02019; was selected. The boxplots produced showed the expression level of the target gene, with red bars representing tumor samples and blue bars representing normal samples.</p></sec>
<sec>
<title>Oncomine database analysis</title>
<p>The mRNA levels of <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer and ovarian cancer tissues were compared with their matched normal tissues using The Cancer Genome Atlas (TCGA) datasets in the Oncomine database (<ext-link xlink:href="http://www.oncomine.org" ext-link-type="uri">http://www.oncomine.org</ext-link>). The threshold used to obtain the most significant probes of the queried gene for each microarray data included a two-fold difference in expression between cancer and normal tissues with a P-value of &#x0003C;1x10<sup>-4</sup>. For each gene, the mRNA expression level in three independent datasets was analyzed.</p></sec>
<sec>
<title>Kaplan-Meier Plotter analysis</title>
<p>The prognostic values of the <italic>BRCA1</italic> and <italic>BRCA2</italic> genes in breast cancer and ovarian cancer were analyzed using the Kaplan-Meier Plotter (<ext-link xlink:href="http://kmplot.com/analysis/" ext-link-type="uri">http://kmplot.com/analysis/</ext-link>). Overall, the survival rates of patients with high and low levels of <italic>BRCA1</italic> or <italic>BRCA2</italic> were shown using a Kaplan-Meier survival plot.</p></sec>
<sec>
<title>Catalogue Of Somatic Mutations In Cancer (COSMIC) analysis for BRCA1 and BRCA2 mutations</title>
<p>The COSMIC database (<ext-link xlink:href="http://cancer.sanger.ac.uk/cosmic" ext-link-type="uri">http://cancer.sanger.ac.uk/cosmic</ext-link>) was used for the analysis of <italic>BRCA1</italic> and <italic>BRCA2</italic> mutations. Pie charts were generated for a distribution overview and substitutions on the coding strand in breast cancer and ovarian cancer.</p></sec>
<sec>
<title>cBioPortal analysis for alteration frequency and interaction network of BRCA1 and BRCA2</title>
<p>The alteration frequencies of <italic>BRCA1</italic> and <italic>BRCA2</italic> mRNA in breast cancer and ovarian cancer was determined by using the cBioPortal for Cancer Genomics (<ext-link xlink:href="http://www.cbioportal.org/" ext-link-type="uri">http://www.cbioportal.org/</ext-link>). All searches and analyses were performed according to the online instructions of cBioPortal (<xref ref-type="bibr" rid="b14-ijmm-42-06-3542">14</xref>,<xref ref-type="bibr" rid="b15-ijmm-42-06-3542">15</xref>).</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>BRCA1 and BRCA2 are upregulated in breast cancer and ovarian cancer</title>
<p>The gene expression levels of <italic>BRCA1</italic> and <italic>BRCA2</italic> were surveyed in 38 cases of human cancer using the TCGA database. The columns in <xref rid="f1-ijmm-42-06-3542" ref-type="fig">Fig. 1</xref> represent the accurate quantification of gene and isoform expression from the RNA-Seq data. The results showed that higher levels of <italic>BRCA1</italic> (<xref rid="f1-ijmm-42-06-3542" ref-type="fig">Fig. 1A</xref>) and <italic>BRCA2</italic> (<xref rid="f1-ijmm-42-06-3542" ref-type="fig">Fig. 1B</xref>) transcripts were observed in almost all cancer tissues, compared with the levels in their matched normal tissues. Of note, the <italic>BRCA1</italic> and <italic>BRCA2</italic> genes exhibited a similar expression pattern in various cancer types, including breast cancer and ovarian cancer (<xref rid="f1-ijmm-42-06-3542" ref-type="fig">Fig. 1</xref>).</p>
<p>Oncomine analysis comparing cancer tissues with normal tissues also showed that the <italic>BRCA1</italic> and <italic>BRCA2</italic> genes were significantly upregulated in breast cancer and ovarian cancer tissues (<xref rid="f2-ijmm-42-06-3542" ref-type="fig">Fig. 2A-D</xref>) in three independent analyses, compared with corresponding normal tissues (<xref ref-type="bibr" rid="b16-ijmm-42-06-3542">16</xref>,<xref ref-type="bibr" rid="b17-ijmm-42-06-3542">17</xref>). The results of the Kaplan-Meier analysis revealed that a high expression level of <italic>BRCA1</italic> was correlated with a poor survival rate in breast cancer (P=1.51E-11; <xref rid="f3-ijmm-42-06-3542" ref-type="fig">Fig. 3A</xref>) and a high expression level of <italic>BRCA2</italic> was correlated with poor survival rates in breast cancer (P=0.00093; <xref rid="f3-ijmm-42-06-3542" ref-type="fig">Fig. 3B</xref>). No significant correlation was found between the expression level of <italic>BRCA1</italic> and the survival rate of patients for ovarian cancer (P=0.13; (<xref rid="f3-ijmm-42-06-3542" ref-type="fig">Fig. 3C</xref>), whereas a high expression level of <italic>BRCA2</italic> was correlated with poor survival rates in ovarian cancer (P=1.0E-9; <xref rid="f3-ijmm-42-06-3542" ref-type="fig">Fig. 3D</xref>).</p></sec>
<sec>
<title>BRCA1 and BRCA2 mutations in breast cancer and ovarian cancer</title>
<p>The present study evaluated the mutations of <italic>BRCA1</italic>/2 using the COSMIC database, and the information regarding the mutations of substitution missense, nonsense, synonymous and insertion frame shift are presented in the pie-chart shown in <xref rid="f4-ijmm-42-06-3542" ref-type="fig">Fig. 4A-D</xref>. In breast cancer and ovarian cancer, the most frequent mutation was substitution missense in the <italic>BRCA1</italic>/2 genes. In the mutation samples of breast cancer, 50% of the <italic>BRCA1</italic> and 54.9% of the <italic>BRCA2</italic> mutations were substitution missense (<xref rid="f4-ijmm-42-06-3542" ref-type="fig">Fig. 4A and C</xref>). In ovarian cancer, 31.87% of the <italic>BRCA1</italic> and 44.62% of the <italic>BRCA2</italic> mutations were substitution missense (<xref rid="f4-ijmm-42-06-3542" ref-type="fig">Fig. 4B and D</xref>). The mutation samples of breast cancer comprised 23.33% G&#x0003E;A, 20.00% G&#x0003E;C and 20.00% G&#x0003E;T substitutions in the <italic>BRCA1</italic> coding strand (<xref rid="f4-ijmm-42-06-3542" ref-type="fig">Fig. 4A</xref>), and 22.58% G&#x0003E;C and 19.35% G&#x0003E;A substitutions in the <italic>BRCA2</italic> coding strand (<xref rid="f4-ijmm-42-06-3542" ref-type="fig">Fig. 4C</xref>). In the ovarian cancer mutation samples, there were 32.61% G&#x0003E;T and 21.71% G&#x0003E;A substitutions in the <italic>BRCA1</italic> coding strand (<xref rid="f4-ijmm-42-06-3542" ref-type="fig">Fig. 4B</xref>), and 23.68% G&#x0003E;T and 21.05 G&#x0003E;A substitutions in the <italic>BRCA2</italic> coding strand (<xref rid="f4-ijmm-42-06-3542" ref-type="fig">Fig. 4D</xref>).</p>
<p>The alteration frequencies of <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer and ovarian cancer were also analyzed using cBioportal. A total of eight studies on breast cancer and two studies on ovarian cancer were included in the database. The results showed that ~2-8% of breast cancer and 6-22% of ovarian cancer clinical samples contained <italic>BRCA1</italic> and/or <italic>BRCA2</italic> mutations (<xref rid="f5-ijmm-42-06-3542" ref-type="fig">Fig. 5A and B</xref>). In the breast cancer clinical samples, there were 81 mutations observed in <italic>BRCA1</italic>, 43 of which were missense mutations and 38 were in-frame mutations and truncating; there were 88 mutations in <italic>BRCA2</italic>, 42 of which were missense mutations and 46 were in-frame mutations and truncating. In ovarian cancer, there were 48 mutations of the <italic>BRCA1</italic> gene, only two of which were missense mutations and 46 were in-frame mutations and truncating; there were 46 mutations in <italic>BRCA2</italic>, five of which were missense mutations and 41 were in-frame mutations and truncating. Several common mutations were observed in <italic>BRCA1</italic> (E1346Kfs&#x0002A;20, E23Vfs&#x0002A;17 and Q1756Pfs&#x0002A;74) and <italic>BRCA2</italic> (V220Ifs&#x0002A;4, N1784Hfs&#x0002A;2 and S1982Rfs&#x0002A;22) in breast cancer and ovarian cancer, determined by pairwise-analysis (<xref rid="tI-ijmm-42-06-3542" ref-type="table">Tables I</xref> and <xref rid="tII-ijmm-42-06-3542" ref-type="table">II</xref>).</p></sec>
<sec>
<title>Interaction networks of BRCA1 and BRCA2 in breast cancer and ovarian cancer</title>
<p>The interaction networks of <italic>BRCA1</italic> and <italic>BRCA2</italic> were analyzed using cBioportal (<xref rid="f5-ijmm-42-06-3542" ref-type="fig">Fig. 5C and D</xref>). Among the genes involved in the interaction network, &#x0003E;30% were able to form complexes with <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer (30.6%) and ovarian cancer (36.5%). In breast cancer, <italic>BRCA1</italic> controlled the expression of cyclin-dependent kinase inhibitor 1B (<italic>CDKN1B, p27<sup>Kip1</sup></italic>). The testis expressed 15 gene controlled the state of <italic>BRCA1</italic> and <italic>BRCA2</italic>, respectively. In addition, it was found that the three genes, neurofibromin 1 (<italic>NF1</italic>), synaptonemal complex protein 2 (<italic>SYCP2</italic>) and tumor protein 53 (<italic>TP53</italic>), were involved in breast cancer and ovarian cancer. <italic>BRCA1</italic> was able to form complex with the proteins of these three genes, respectively, and also control the state change of <italic>SYCP2</italic> in breast cancer and ovarian cancer, which is associated with cell cycle, mitotic and meiosis.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>In women, <italic>BRCA1</italic> or <italic>BRCA2</italic> mutations result in a ~40-80% risk of developing breast cancer, and ~11-40% risk of developing ovarian cancer, respectively (<xref ref-type="bibr" rid="b18-ijmm-42-06-3542">18</xref>-<xref ref-type="bibr" rid="b21-ijmm-42-06-3542">21</xref>). In the present study, the latest evidence of the expression profiles and mutations of <italic>BRCA1</italic> and <italic>BRCA2</italic> were surveyed using bioinformatics analyses/TCGA data portal and revealed that the <italic>BRCA</italic> genes were significantly upregulated and mutated in various types of human cancer, including breast cancer and ovarian cancer. Higher mRNA levels of <italic>BRCA1</italic> and <italic>BRCA2</italic> were observed in tissues samples of 23 types of cancer s, compared with their normal control tissues, including breast cancer and ovarian cancer. This upregulated expression pattern was further validated in three independent RNA-seq datasets. Of note, a positive correlation was identified between the mRNA expression level of the <italic>BRCA</italic> genes and poor survival rates in breast cancer and ovarian cancer by Kaplan-Meier analysis.</p>
<p>The gene expression levels of <italic>BRCA1</italic> and <italic>BRCA2</italic> offer a potentially important tool for use in cancer management. A study in lung cancer showed that the <italic>BRCA1</italic> gene served as an indicator of chemoresistance, and the reconstitution of wild-type <italic>BRCA1</italic> function into lung cancer cells resulted in thousands of fold increases in sensitivity to paclitaxel and vinorelbine (<xref ref-type="bibr" rid="b22-ijmm-42-06-3542">22</xref>). Another preclinical study in breast cancer demonstrated the potential of using <italic>BRCA1</italic> and <italic>BRCA2</italic> dysfunction to predict response to clinical treatment (<xref ref-type="bibr" rid="b23-ijmm-42-06-3542">23</xref>). However, another previous study showed that the protein level of <italic>BRCA1</italic> exhibited a significant reduction in sporadic breast and ovarian cancer (<xref ref-type="bibr" rid="b24-ijmm-42-06-3542">24</xref>,<xref ref-type="bibr" rid="b25-ijmm-42-06-3542">25</xref>), which may have been partially due to the different splice variants or localization of the <italic>BRCA1</italic> protein. The expression levels of <italic>BRCA1</italic> and <italic>BRCA2</italic> in human mammary epithelial and cancer cells vary with cell cycle, which are expressed in a cell cycle-dependent manner, peaking at the G1/S boundary (<xref ref-type="bibr" rid="b26-ijmm-42-06-3542">26</xref>).</p>
<p>In the present study, ~81 mutations in the <italic>BRCA1</italic> gene and 88 mutations in the <italic>BRCA2</italic> gene were found in breast cancer samples, and 48 mutations in <italic>BRCA1</italic> and 46 mutations in <italic>BRCA2</italic> were found in ovarian cancer samples. Of note, three mutations in <italic>BRCA1</italic> and three mutations in <italic>BRCA2</italic> were observed in both breast cancer and ovarian cancer, which indicated that the effects of these mutations may be common in breast cancer and ovarian cancer. In addition, the common mutations in <italic>BRCA1</italic> and <italic>BRCA2</italic> were frame-shift deletions, and are known to be oncogenic (<xref ref-type="bibr" rid="b27-ijmm-42-06-3542">27</xref>).</p>
<p>It is well known that <italic>BRCA1</italic> and <italic>BRCA2</italic> are involved in DNA repair, cell cycle checkpoint regulation and transcription (<xref ref-type="bibr" rid="b28-ijmm-42-06-3542">28</xref>), and these processes are dictated through crosstalk with a network of proteins. It is now clear that the BRCA1 and BRCA2 proteins co-localize with RAD51 complexes on mitotic and meiotic chromosomes following exposure to ionizing radiation or hydroxyurea (<xref ref-type="bibr" rid="b7-ijmm-42-06-3542">7</xref>,<xref ref-type="bibr" rid="b29-ijmm-42-06-3542">29</xref>). Certain other proteins have been reported to interact with BRCA1, including ataxia telangiectasia mutated (ATM)/ATM-related kinase, checkpoint kinase 2, and aurora A protein kinase, to regulate cell cycle progression (<xref ref-type="bibr" rid="b30-ijmm-42-06-3542">30</xref>). In the present study, three genes (<italic>NF1</italic>, <italic>SYCP2</italic> and <italic>TP53</italic>) were found to be associated with <italic>BRCA1</italic> in breast cancer and ovarian cancer. <italic>NF1</italic> is a tumor suppressor gene, which comprises 60 exons coding for the protein neurofibromin, which is associated with neurofibromatosis-noonan syndrome and neurofibromatosis, type 1. Among its associated pathways are the mitogen-activated protein kinase signaling pathway and Ras signaling pathway (<xref ref-type="bibr" rid="b31-ijmm-42-06-3542">31</xref>). The <italic>NF1</italic> and <italic>BRCA1</italic> genes are located in the long arm of chromosome 17, and the involvement of <italic>NF1</italic> in breast cancer has been suggested in previous publications (<xref ref-type="bibr" rid="b32-ijmm-42-06-3542">32</xref>,<xref ref-type="bibr" rid="b33-ijmm-42-06-3542">33</xref>). <italic>SYCP2</italic> is a testis-specific human gene with aberrant expression in human papillomavirus-positive cancer (<xref ref-type="bibr" rid="b34-ijmm-42-06-3542">34</xref>), and head and neck squamous cell carcinoma (<xref ref-type="bibr" rid="b35-ijmm-42-06-3542">35</xref>). In the present study, it was found that <italic>BRCA1</italic> was able to form a complex with <italic>NF1</italic> and <italic>SYCP2,</italic> respectively, in breast cancer and ovarian cancer, which suggested that the <italic>BRCA1</italic> gene interacts with <italic>NF1</italic> and <italic>SYCP2</italic> directly or indirectly in cell cycle regulation. However, further investigations are required to discern the complex mechanisms underlying these observations in the future.</p>
<p>In conclusion, the findings of the present study revealed not only the increased expression pattern of the <italic>BRCA1</italic> and <italic>BRCA2</italic> genes in breast cancer and ovarian cancer, but also provided an understanding on the mutations and interaction networks of these two genes in the types of cancers mentioned. The results also provide significant insight into certain mutations and proteins involved in the interaction network, the roles of which may be common in breast cancer and ovarian cancer.</p></sec></body>
<back>
<ack>
<title>Acknowledgements</title>
<p>Not applicable.</p></ack>
<sec>
<title>Funding</title>
<p>This study was financially supported by the Shenzhen Science and Technology Program (Basic Research Project; grant no. JCYJ20170307141840188) and the Innovation and Technology fund of Longhua Shenzhen (grant no. 20150925A0410013).</p></sec>
<sec>
<title>Availability of data and materials</title>
<p>The data that support the findings of this study are available from The Cancer Genome Atlas: <ext-link xlink:href="http://cancergenome.nih.gov/" ext-link-type="uri">http://cancergenome.nih.gov/</ext-link>.</p></sec>
<sec>
<title>Authors' contributions</title>
<p>ZW performed the experiments and drafted the manuscript. YZ and QD performed the Oncomine analysis and cBioportal analysis. JZ and HL conceived the study design, obtained funding for the study, and drafted and revised the manuscript. All authors read and approved the final manuscript.</p></sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>Not applicable.</p></sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p></sec>
<sec>
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p></sec>
<ref-list>
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<floats-group>
<fig id="f1-ijmm-42-06-3542" position="float">
<label>Figure 1</label>
<caption>
<p>FIREHOSE analysis of <italic>BRCA1</italic> and <italic>BRCA2</italic> expression profiles. mRNA expression levels of (A) <italic>BRCA1</italic> and (B) <italic>BRCA2</italic> were higher in multiple types of human cancer, compared with their matched normal tissues. The boxplots show the expression levels, red bars are for tumor samples and blue bars are for normal samples. The results showed that the expression levels of <italic>BRCA1</italic> and <italic>BRCA2</italic> were the highest in acute myeloid leukemia (LAML) and lowest in kidney chromophobe (KICH). <italic>BRCA1</italic>, breast cancer 1; <italic>BRCA2</italic>, breast cancer 2.</p></caption>
<graphic xlink:href="IJMM-42-06-3542-g00.tif"/></fig>
<fig id="f2-ijmm-42-06-3542" position="float">
<label>Figure 2</label>
<caption>
<p>Evaluation of mRNA expression of <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer and ovarian cancer using Oncomine analysis. mRNA levels of (A) <italic>BRCA1</italic> and (B) <italic>BRCA2</italic> in breast cancer samples. mRNA levels of (C) <italic>BRCA1</italic> and (D) <italic>BRCA2</italic> in ovarian cancer samples. For each gene, the mRNA expression levels were analyzed in two independent datasets. <sup>&#x0002A;</sup>P&#x0003C;0.05, vs. normal tissues. <italic>BRCA1</italic>, breast cancer 1; <italic>BRCA2</italic>, breast cancer 2.</p></caption>
<graphic xlink:href="IJMM-42-06-3542-g01.tif"/></fig>
<fig id="f3-ijmm-42-06-3542" position="float">
<label>Figure 3</label>
<caption>
<p>Kaplan-Meier Plotter analysis of <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer and ovarian cancer. Expression levels of (A) <italic>BRCA1</italic> and (B) <italic>BRCA2</italic> were negatively correlated with overall survival rate in breast cancer. (C) No significant correlation was observed between the expression level of BRCA1 and overall survival rate of ovarian cancer. (D) Expression level of <italic>BRCA2</italic> was negatively correlated with the overall survival rate of ovarian cancer. The red line indicates the overall survival rate with high levels of <italic>BRCA1</italic> or <italic>BRCA2</italic>, and the black line indicates the low levels of <italic>BRCA1</italic> or <italic>BRCA2</italic> in breast cancer and ovarian cancer. <italic>BRCA1</italic>, breast cancer 1; <italic>BRCA2</italic>, breast cancer 2.</p></caption>
<graphic xlink:href="IJMM-42-06-3542-g02.tif"/></fig>
<fig id="f4-ijmm-42-06-3542" position="float">
<label>Figure 4</label>
<caption>
<p>COSMIC analysis of <italic>BRCA1</italic> and <italic>BRCA2</italic> mutations. The pie-chart shows the percentages of the types of mutations of <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer and ovarian cancer according to the COSMIC database. (A) <italic>BRCA1</italic> and (C) <italic>BRCA2</italic> mutations in breast cancer. (B) <italic>BRCA1</italic> and (D) <italic>BRCA2</italic> mutations in ovarian cancer. COSMIC, Catalogue Of Somatic Mutations In Cancer; <italic>BRCA1</italic>, breast cancer 1; <italic>BRCA2</italic>, breast cancer 2.</p></caption>
<graphic xlink:href="IJMM-42-06-3542-g03.tif"/></fig>
<fig id="f5-ijmm-42-06-3542" position="float">
<label>Figure 5</label>
<caption>
<p>Alteration frequencies and interaction networks of <italic>BRCA1</italic> and <italic>BRCA2</italic> in breast cancer and ovarian cancer analyzed using cBioPortal. Mutation analysis of <italic>BRCA1</italic> and <italic>BRCA2</italic> in (A) breast cancer and (B) ovarian cancer. The results showed that ~2-8% of breast cancer and 6-22% of ovarian cancer clinical samples contained the <italic>BRCA1</italic> and/or <italic>BRCA2</italic> mutation. Interaction network analysis for (C) breast cancer and (D) ovarian cancer using cBioPortal. The spheres represent the genes in the interaction networks, the green arrows mean &#x02018;control expression of&#x02019;, the brown lines mean &#x02018;complex with&#x02019; and the blue arrows mean the &#x02018;control state change of &#x02019;. TCGA, The Cancer Genome Atlas; <italic>BRCA1</italic>, breast cancer 1; <italic>BRCA2</italic>, breast cancer 2; NF1, neurofibromin 1; TP53, tumor protein 53; TEX15, testis expressed 15; ATM, ataxia telangiectasia mutated; BLM, bloom syndrome RecQ like helicase; STAG1, stromal antigen 1; SYCP2, synaptonemal complex protein 2; FANCA, fanconi anemia complementation group A; CCNE1, cyclin E1; HIST2H, histone cluster 2; TP63, tumor protein 63.</p></caption>
<graphic xlink:href="IJMM-42-06-3542-g04.tif"/></fig>
<table-wrap id="tI-ijmm-42-06-3542" position="float">
<label>Table I</label>
<caption>
<p>Common mutations in <italic>BRCA1</italic> in breast cancer and ovarian cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Cancer study</th>
<th valign="top" align="left">Amino acid change</th>
<th valign="top" align="left">Type</th>
<th valign="top" align="left">Copy number</th>
<th valign="top" align="left">Mutations in sample (n)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Breast (TCGA)</td>
<td valign="top" align="left">E1346Kfs&#x0002A;20</td>
<td valign="top" align="left">FS del</td>
<td valign="top" align="left">ShallowDel</td>
<td valign="top" align="left">138</td></tr>
<tr>
<td valign="top" align="left">Breast (TCGA)</td>
<td valign="top" align="left">E23Vfs&#x0002A;17</td>
<td valign="top" align="left">FS del</td>
<td valign="top" align="left">Gain</td>
<td valign="top" align="left">118</td></tr>
<tr>
<td valign="top" align="left">Breast (TCGA)</td>
<td valign="top" align="left">Q1756Pfs&#x0002A;74</td>
<td valign="top" align="left">FS ins</td>
<td valign="top" align="left">ShallowDel</td>
<td valign="top" align="left">65</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijmm-42-06-3542">
<p>TCGA, The Cancer Genome Atlas; FS, frameshift; del, deletion; ins, insertion.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-ijmm-42-06-3542" position="float">
<label>Table II</label>
<caption>
<p>Common mutations in <italic>BRCA2</italic> in breast cancer and ovarian cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Cancer study</th>
<th valign="top" align="left">Amino acid change</th>
<th valign="top" align="left">Type</th>
<th valign="top" align="left">Copy number</th>
<th valign="top" align="left">Mutations in sample (n)</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">Breast (TCGA)</td>
<td valign="top" align="left">V220Ifs&#x0002A;4</td>
<td valign="top" align="left">FS del</td>
<td valign="top" align="left">Diploid</td>
<td valign="top" align="left">69</td></tr>
<tr>
<td valign="top" align="left">Breast (TCGA)</td>
<td valign="top" align="left">N1784Hfs&#x0002A;2</td>
<td valign="top" align="left">FS del</td>
<td valign="top" align="left">ShallowDel</td>
<td valign="top" align="left">49</td></tr>
<tr>
<td valign="top" align="left">Breast (TCGA)</td>
<td valign="top" align="left">S1982Rfs&#x0002A;22</td>
<td valign="top" align="left">FS del</td>
<td valign="top" align="left">Diploid</td>
<td valign="top" align="left">48</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-ijmm-42-06-3542">
<p>TCGA, The Cancer Genome Atlas; FS, frameshift; del, deletion.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
