Status Of Breast Cancer Patients Research Articles

1262P - Use of droplet digital PCR for quantitative and automatic analysis of the HER2 status in breast cancer patients

1262P - Use of droplet digital PCR for quantitative and automatic analysis of the HER2 status in breast cancer patients

Gene expression information improves reliability of receptor status in breast cancer patients.

Immunohistochemical (IHC) determination of receptor status in breast cancer patients is frequently inaccurate. Since it directs the choice of systemic therapy, it is essential to increase its reliability.We increase the validity of IHC receptor expression by additionally considering gene expression (GE) measurements. Crisp therapeutic decisions are based on IHC estimates, even if they are borderline reliable. We further improve decision quality by a responsibility function, defining a critical domain for gene expression. Refined normalization is devised to file any newly diagnosed patient into existing data bases. Our approach renders receptor estimates more reliable by identifying patients with questionable receptor status. The approach is also more efficient since the rate of conclusive samples is increased. We have curated and evaluated gene expression data, together with clinical information, from 2880 breast cancer patients. Combining IHC with gene expression information yields a method more reliable and also more efficient as compared to common practice up to now.Several types of possibly suboptimal treatment allocations, based on IHC receptor status alone, are enumerated. A ‘therapy allocation check’ identifies patients possibly miss-classified. Estrogen: false negative 8%, false positive 6%. Progesterone: false negative 14%, false positive 11%. HER2: false negative 2%, false positive 50%. Possible implications are discussed.We propose an ‘expression look-up-plot’, allowing for a significant potential to improve the quality of precision medicine.Methods are developed and exemplified here for breast cancer patients, but they may readily be transferred to diagnostic data relevant for therapeutic decisions in other fields of oncology.

Development of nomograms to predict axillary lymph node status in breast cancer patients

BackgroundPrediction of axillary lymph node (ALN) status preoperatively is critical in the management of breast cancer patients. This study aims to develop a new set of nomograms to accurately predict ALN status.MethodsWe searched the National Cancer Database to identify eligible female breast cancer patients with profiles containing critical information. Patients diagnosed in 2010–2011 and 2012–2013 were designated the training (n = 99,618) and validation (n = 101,834) cohorts, respectively. We used binary logistic regression to investigate risk factors for ALN status and to develop a new set of nomograms to determine the probability of having any positive ALNs and N2–3 disease. We used ROC analysis and calibration plots to assess the discriminative ability and accuracy of the nomograms, respectively.ResultsIn the training cohort, we identified age, quadrant of the tumor, tumor size, histology, ER, PR, HER2, tumor grade and lymphovascular invasion as significant predictors of ALNs status. Nomogram-A was developed to predict the probability of having any positive ALNs (P_any) in the full population with a C-index of 0.788 and 0.786 in the training and validation cohorts, respectively. In patients with positive ALNs, Nomogram-B was developed to predict the conditional probability of having N2–3 disease (P_con) with a C-index of 0.680 and 0.677 in the training and validation cohorts, respectively. The absolute probability of having N2–3 disease can be estimated by P_any*P_con. Both of the nomograms were well-calibrated.ConclusionsWe developed a set of nomograms to predict the ALN status in breast cancer patients.

A nomogram to predict HER2 status in breast cancer patients with HER2-borderline disease as determined via immunohistochemistry.

This study aimed to develop a nomogram to predict fluorescence in situ hybridization (FISH) assay results for HER2-borderline breast cancer as determined via immunohistochemistry (IHC) among patients in China. We reviewed a database of breast cancer patients diagnosed between January 2007 and April 2013 at our institutions. We used logistic regression to develop a nomogram and we used receiver operating characteristic curve analysis and calibration plots to validate our nomogram. In total, 1138, 301 and 344 patients had IHC-determined HER2-negative, HER2-borderline and HER2-positive disease, respectively. Within the training cohort, univariate and multivariate analyses suggested that estrogen receptor (ER) status, progesterone receptor (PR) status and tumor grade were significantly associated with HER2 status (P<0.01). A nomogram was developed and the AUCs for the training and validation cohorts were 0.795 and 0.749, respectively. The calibration plots suggested that the model was well calibrated. This new nomogram can be used to predict HER2 status in HER2-borderline breast cancer patients and will be particularly helpful to resource-limited countries.

IL-11 contribution to tumorigenesis in an NRF2 addiction cancer model.

The interaction between cancer cells and their microenvironment is an important determinant of the pathological nature of cancers, particularly their tumorigenic abilities. The KEAP1-NRF2 system, originally identified as a critical defense mechanism against oxidative stress, is often dysregulated in various human cancers forming solid tumors, resulting in the aberrant activation of NRF2. Increased accumulation of NRF2 in cancers is strongly associated with the poor prognoses of cancer patients, including those with lung and breast cancers. Multiple lines of evidence suggest that aberrantly activated NRF2 in cancer cells drives their malignant progression and that the cancer cells consequently develop 'NRF2 addiction.' Although the downstream effectors of NRF2 that are responsible for cancer malignancy have been extensively studied, mechanisms of how NRF2 activation contributes to the aggressive tumorigenesis remains to be elucidated. In this study, we found a significant correlation between NRF2 and IL-11 status in breast cancer patients. Based on a recent report demonstrating that IL-11 is induced downstream of NRF2, we examined the significance of IL-11 in NRF2-driven tumorigenesis with a newly established NRF2 addiction cancer model. Expression of Il11 was elevated during the tumorigenesis of the NRF2 addiction cancer model, but intriguingly, it was hardly detected when the cancer model cells were cultured in vitro. These results imply that a signal originating from the microenvironment cooperates with NRF2 to activate Il11. To the best of our knowledge, this is the first report showing the influence of the microenvironment on the NRF2 pathway in cancer cells and the contribution of NRF2 to the secretory phenotypes of cancers. Disruption of Il11 in the NRF2 addiction cancer model remarkably inhibited the tumorigenesis, suggesting an essential role of IL-11 in NRF2-driven tumorigenesis. Thus, this study suggests that IL-11 is a potential therapeutic target for NRF2-addicted breast cancers.

TNM classification and the need for revision of pN3a breast cancer

BackgroundAccording to the seventh edition of tumour-node-metastasis (TNM) classification, pN3a status in breast cancer patients consists of presence of an infraclavicular lymph node metastasis (LNM) and/or presence of ≥10 axillary LNMs. The aim of this study was to determine whether prognosis of pN3a based on at least an infraclavicular LNM differs from ≥10 axillary LNMs. MethodsData were obtained from the Netherlands Cancer Registry. All patients were diagnosed between 2005 and 2008 with primary invasive epithelial breast cancer and pN2a or pN3a status as pathologic result. Patients with pN3a were subdivided in pN3a based on at least an infraclavicular LNM or ≥10 axillary LNMs. Disease-free survival (DFS) included any local, regional or contralateral recurrence, distant metastasis or death within 5 years. Kaplan–Meier curves provided information on 5-year DFS and 8-year overall survival (OS). In addition, Cox proportional hazards model was used to measure the effect of relevant clinicopathological variables on DFS and OS. ResultsA total of 3400 patients with pN2a and 1788 patients with pN3a were included. In 83 patients, pN3a was based on at least an infraclavicular LNM (4.6%) and in 1705 patients because of ≥10 axillary LNMs (95.4%). After multivariable analyses, DFS and OS were inferior in patients with pN3a based on ≥10 axillary LNMs compared to infraclavicular LNM (DFS 48.8% versus 63.8%, hazard ratio [HR] 1.59, p = 0.036; OS 46.6% versus 63.9%, HR 1.46, p = 0.042). Furthermore, pN2a and pN3a based on infraclavicular LNM had comparable DFS and OS. ConclusionPN3a status based on an at least an infraclavicular LNM is rare, yet its prognosis is superior to ≥10 axillary LNMs. Reclassification of infraclavicular LNM in the next TNM should therefore be considered into pN2a.

Impact of RASSF1A gene methylation on the metastatic axillary nodal status in breast cancer patients.

Hypermethylation of CpG islands is a hallmark of cancer and occurs at an early stage in breast tumorigenesis. To gain insight into the epigenetic switches that may promote and/or contribute to the initial neoplastic events during breast carcinogenesis, the present study focused on the DNA methylation profile of invasive breast carcinoma. The aim of the study was to evaluate the prognostic significance of Ras association domain family 1 isoform A (RASSF1A) promoter methylation status in operable breast cancer, and to analyze the utility of this biomarker regarding its association with metastatic and nonmetastatic axillary nodal status. For this purpose, formalin-fixed, paraffin-embedded tissue specimens from 116 breast cancer patients with known axillary nodal status were subjected to assessment of RASSF1A promoter methylation status by methylation-specific polymerase chain reaction (MSP) and methylation-sensitive high-resolution melting assay, and the results were subsequently validated by bisulfite sequencing. A multinomial logistic regression model was used to model the dependence of distinct levels of methylation status of the RASSF1A promoter on the nodal status. Promoter region CpG hypermethylation was identified by MSP in 97 (83.6%) of 116 primary breast tumors, while hypermethylation of RASSF1A was confirmed by MS-HRM in 107 (92.2%) of 116 cases of breast cancer. Based on the results of the multinomial logistic regression model, there was no significant difference between the frequency of RASSF1A promoter methylation and axillary lymph node status of patients in general. However, upon adjustment of pN stage, an association was identified between pN0 lymph node-negative status (without axillary metastases) and percentage of RASSF1A methylation in two groups of heterogeneous methylated alleles with ≤50% methylated (P<0.05) and >50% methylated alleles (P<0.0001). If a patients' nodal status changes from pN- to pN+ then the risk of having >50% methylated alleles increases by 7%. The present study revealed a specific phenomenon, suggesting that the presence of heterogeneous methylated alleles in the RASSF1A gene is significantly associated with lymph node-negative status in breast cancer patients. Furthermore, greater significance with negative axillary nodal status was observed with a higher level of heterogeneous methylated alleles in the RASSF1A gene.

Impact of intra-tumoral IL17A and IL32 gene expression on T-cell responses and lymph node status in breast cancer patients.

Pro-inflammatory cytokines such as Interleukin-17A (IL17A) and Interleukin-32 (IL32), known to enhance natural killer and T cell responses, are also elevated in human malignancies and linked to poor clinical outcomes. To address this paradox, we evaluated relation between IL17A and IL32 expression and other inflammation- and T cell response-associated genes in breast tumors. TaqMan-based gene expression analysis was carried out in seventy-eight breast tumors. The association between IL17A and IL32 transcript levels and T cell response genes, ER status as well as lymph node status was also examined in breast tumors from TCGA dataset. IL17A expression was detected in 32.7% ER-positive and 84.6% ER-negative tumors, with higher expression in the latter group (26.2 vs 7.1-fold, p < 0.01). ER-negative tumors also showed higher expression of IL32 as opposed to ER-positive tumors (8.7 vs 2.5-fold, p < 0.01). Expression of both IL17A and IL32 genes positively correlated with CCL5, GNLY, TBX21, IL21 and IL23 transcript levels (p < 0.01). Amongst ER-positive tumors, higher IL32 expression significantly correlated with lymph node metastases (p < 0.05). Conversely, in ER-negative subtype, high IL17A and IL32 expression was seen in patients with negative lymph node status (p < 0.05). Tumors with high IL32 and IL17A expression showed higher expression of TH1 response genes studied, an observation validated by similar analysis in the TCGA breast tumors (n=1041). Of note, these tumors were characterized by low expression of a potentially immunosuppressive isoform of IL32 (IL32γ). These results suggest that high expression of both IL17A and IL32 leads to enhancement of T cell responses. Our study, thus, provides basis for the emergence of strong T cell responses in an inflammatory milieu that have been shown to be associated with better prognosis in ER-negative breast cancer.

Metastasis-associated protein 1 is an upstream regulator of DNMT3a and stimulator of insulin-growth factor binding protein-3 in breast cancer

Despite a recognized role of DNA methyltransferase 3a (DNMT3a) in human cancer, the nature of its upstream regulator(s) and relationship with the master chromatin remodeling factor MTA1, continues to be poorly understood. Here, we found an inverse relationship between the levels of MTA1 and DNMT3a in human cancer and that high levels of MTA1 in combination of low DNMT3a status correlates well with poor survival of breast cancer patients. We discovered that MTA1 represses DNMT3a expression via HDAC1/YY1 transcription factor complex. Because IGFBP3 is an established target of DNMT3a, we investigated the effect of MTA1 upon IGFBP3 expression, and found a coactivator role of MTA1/c-Jun/Pol II coactivator complex upon the IGFBP3 transcription. In addition, MTA1 overexpression correlates well with low levels of DNMT3a which, in turn also correlates with a high IGFBP3 status in breast cancer patients and predicts a poor clinical outcome for breast cancer patients. These findings suggest that MTA1 could regulate the expression of IGFBP3 in both DNMT3a-dependent and -independent manner. Together findings presented here recognize an inherent role of MTA1 as a modifier of DNMT3a and IGFBP3 expression, and consequently, the role of MTA1-DNMT3a-IGFBP3 axis in breast cancer progression.

Multicenter prospective evaluation of the reliability of the combined use of two models to predict non-sentinel lymph node status in breast cancer patients with metastatic sentinel lymph nodes: the MSKCC nomogram and the Tenon score. Results of the NOTEGS study

Background:The purpose of this study was to prospectively evaluate the combined use of The Memorial Sloan Kettering Cancer Center nomogram and Tenon score to select, in patients with metastatic sentinel lymph node (SN), those at low risk of metastatic non-SN for whom additional axillary lymph node dissection (ALND) could be avoided.Methods:From January 2011 to July 2012, a prospective non-interventional nationwide study was conducted (NCT01509963). We sought to identify the false reassurance rate (FRR, a negative test result is false) in patients with both a ⩽10% probability of metastatic non-SN with the MSKCC nomogram and a Tenon score ⩽3.5 (low risk): the proportion of patients with metastatic non-SN at additional ALND. Our hypothesis was that these patients would have a FRR⩽5%.Results:Data on 2822 patients with breast cancer from 53 institutions were prospectively recorded. At least one SN was metastatic (isolated tumour cells, micro- or macrometastases) in 696 patients (24.7%). Among patients with ALND and complete data to calculate combined risk (n=504), 67 and 437 patients had low and high combined risk, respectively. Patients at low risk had less ALND (47%) compared to patients at high risk (P<0.001). This study did not meet its primary objective because the FRR in patients with low risk was 16.4% (11 out of 67) (95% confidence interval (CI): 9.7–23.1%). In the high-risk group, 33.9% (148 out of 437) (95% CI: 29.6–38.4%) had non-SN metastases (P=0.004).Conclusions:In this controlled prospective study, metastatic SN patients with both a ⩽10% probability of metastatic non-SN with the MSKCC nomogram and a Tenon score ⩽3.5 failed to identify patients at low risk of metastatic non-SN when completion ALND was not systematic.

Abstract P2-01-09: The development of nomograms to predict axillary lymph node status in breast cancer patients

Abstract This abstract was withdrawn by the authors.

A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients.

Since 2007, one-step nucleic acid amplification (OSNA) has been used as a diagnostic system for sentinel lymph node (SLN) examination in patients with breast cancer. This study aimed to define a new clinical cut-off of CK19 mRNA copy number based on the calculation of the risk that an axillary lymph node dissection (ALND) will be positive. We analyzed 1529 SLNs from 1140 patients with the OSNA assay and 318 patients with positive SLNs for micrometastasis (250 copies) and macrometastasis (5000 copies) underwent ALND. Axillary non–SLNs were routinely examined. ROC curves and Youden’s index were performed in order to identify a new cut-off value. Logistic regression models were performed in order to compare OSNA categorical variables created on the basis of our and traditional cut-off to better identify patients who really need an axillary dissection. 69% and 31% of OSNA positive patients had a negative and positive ALND, respectively. ROC analysis identified a cut-off of 2150 CK19 mRNA copies with 95% sensitivity and 51% specificity. Positive and negative predictive values of this new cut-off were 47% and 96%, respectively. Logistic regression models indicated that the cut-off of 2150 copies better discriminates patients with node negative or positive in comparison with the conventional OSNA cut-off (p<0.0001). This cut-off identifies false positive and false negative cases and true-positive and true negative cases very efficiently, and therefore better identifies which patients really need an ALND and which patients can avoid one. This is why we suggest that the negative cut-off should be raised from 250 to 2150. Furthermore, we propose that for patients with a copy number that ranges between 2150 and 5000, there should be a multidisciplinary discussion concerning the clinical and bio-morphological features of primary breast cancer before any decision is taken on whether to perform an ALND or not.

MRI and FDG-PET/CT based assessment of axillary lymph node metastasis in early breast cancer: a meta-analysis

To evaluate the accuracy of magnetic resonance imaging (MRI) and combined 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography/computed tomography (PET/CT) for N staging of breast cancer. A search for relevant diagnostic studies published between January 2008 and October 2015 was conducted in the MEDLINE and EMBASE databases. The quality of the studies was assessed using Quality Assessment of Diagnostic Accuracy Studies (QUADAS) criteria. Sensitivity and specificity were analysed using the random-effect model and fixed effect model for MRI and PET/CT, respectively. A total of 21 eligible studies were evaluated for the efficacy of MRI or PET/CT for diagnosing axillary lymph node status in breast cancer patients. The pooled specificities of MRI and PET/CT were similar at 0.93 (95% confidence interval [CI]: 0.92-0.94) and 0.93 (95% CI: 0.90-0.95), respectively; however, the pooled sensitivity of MRI was (0.82; 95% CI: 0.78-0.85) significantly greater than PET/CT (0.64; 95% CI: 0.59-0.69)]. Further analysis revealed that MRI had a significantly higher diagnostic odds ratio (DOR) value of 51.28 (95% CI: 22.44-117.17) compared to PET/CT at 18.84 (95% CI: 11.71-31.76). The present meta-analysis suggests that MRI not only has the higher sensitivity for lymph node metastasis diagnosis compared to PET/CT, but also has high potential for being used as a non-invasive imaging diagnostic technique. Furthermore, the ultra-small super paramagnetic iron oxide (USPIO)-enhanced MRI showed high diagnostic accuracy for identifying axillary lymph node metastases in early-stage breast cancer patients.

Influence of mindfulness behavior training on anxiety and the quality of life of breast cancer patients with different degree of self-efficacy at perioperative periods

Objective To explore the effects of mindfulness behavior training on anxiety and quality of life of breast cancer patients with different degree of self-efficacy at perioperative periods. Methods A total of 256 cases of breast cancer patients at perioperative periods were recruited and divided into two groups, with 131 cases in the control group and 125 cases in the intervention group.The control group received drug therapy and conventional care, while the intervention group received mindfulness behavior training on the basis of conventional care and drug therapy.The clinical data of the patients were collected.The influence of mindfulness behavior training on anxiety and the quality of life of breast cancer patients were analyzed. Results The intervention group with 65 CR, 40 PR, 15 SD and 5 PD, and the total effectiveness rate was 96%.While the control group with 55 CR, 45 PR, 12 SD and 19 PD, and the total effectiveness rate was 85.5%, and the differences were statistically significant(P<0.05). The different dimension scores of SAS and QLSBC of the high-level self-efficacy group was more significantly improved than that of the low-level self-efficacy group(P<0.05). Logistic regression analysis showed that the level of mindfulness behavior were negatively correlated with anxiety and quality of life. Conclusions Mindfulness behavior training can improve the psychological status of breast cancer patients with different degree of self-efficacy at perioperative periods and improve their quality of life. Key words: Breast cancer; Mindfulness practice; Degree of self-efficacy; Anxiety; Quality of life

Social support, quality of life and mental health status in breast cancer patients

Social support, quality of life and mental health status in breast cancer patients

Use of droplet digital PCR for quantitative and automatic analysis of the HER2 status in breast cancer patients

Digital polymerase chain reaction (dPCR) has been used to yield an absolute measure of nucleic acid concentrations. Recently, a new method referred to as droplet digital PCR (ddPCR) has gained attention as a more precise and less subjective assay to quantify DNA amplification. We demonstrated the usefulness of ddPCR to determine HER2 gene amplification of breast cancer. In this study, we used ddPCR to measure the HER2 gene copy number in clinical formalin-fixed paraffin-embedded samples of 41 primary breast cancer patients. To improve the accuracy of ddPCR analysis, we also estimated the tumor content ratio (TCR) for each sample. Our determination method for HER2 gene amplification using the ddPCR ratio (ERBB2:ch17cent copy number ratio) combined with the TCR showed high consistency with the conventionally defined HER2 gene status according to ASCO-CAP (American Society of Clinical Oncology/College of American Pathologists) guidelines (P<0.0001, Fisher's exact test). The equivocal area was established by adopting 99% confidence intervals obtained by cell line assays, which made it possible to identify all conventionally HER2-positive cases with our method. In addition, we succeeded in automating a major part of the process from DNA extraction to determination of HER2 gene status. The introduction of ddPCR to determine the HER2 gene status in breast cancer is feasible for use in clinical practice and might complement or even replace conventional methods of examination in the future.

Elaboration of a nomogram to predict nonsentinel node status in breast cancer patients with positive sentinel node, intraoperatively assessed with one step nucleic amplification: Retrospective and validation phase.

BackgroundTumor-positive sentinel lymph node (SLN) biopsy results in a risk of non sentinel node metastases in micro- and macro-metastases ranging from 20 to 50%, respectively. Therefore, most patients underwent unnecessary axillary lymph node dissections. We have previously developed a mathematical model for predicting patient-specific risk of non sentinel node (NSN) metastases based on 2460 patients. The study reports the results of the validation phase where a total of 1945 patients were enrolled, aimed at identifying a tool that gives the possibility to the surgeon to choose intraoperatively whether to perform or not axillary lymph node dissection (ALND).MethodsThe following parameters were recorded: Clinical: hospital, age, medical record number; Bio pathological: Tumor (T) size stratified in quartiles, grading (G), histologic type, lymphatic/vascular invasion (LVI), ER-PR status, Ki 67, molecular classification (Luminal A, Luminal B, HER-2 Like, Triple negative); Sentinel and non-sentinel node related: Number of NSNs removed, number of positive NSNs, cytokeratin 19 (CK19) mRNA copy number of positive sentinel nodes stratified in quartiles. A total of 1945 patients were included in the database. All patient data were provided by the authors of this paper.ResultsThe discrimination of the model quantified with the area under the receiver operating characteristics (ROC) curve (AUC), was 0.65 and 0.71 in the validation and retrospective phase, respectively. The calibration determines the distance between predicted outcome and actual outcome. The mean difference between predicted/observed was 2.3 and 6.3% in the retrospective and in the validation phase, respectively. The two values are quite similar and as a result we can conclude that the nomogram effectiveness was validated. Moreover, the ROC curve identified in the risk category of 31% of positive NSNs, the best compromise between false negative and positive rates i.e. when ALND is unnecessary (<31%) or recommended (>31%).ConclusionsThe results of the study confirm that OSNA nomogram may help surgeons make an intraoperative decision on whether to perform ALND or not in case of positive sentinel nodes, and the patient to accept this decision based on a reliable estimation on the true percentage of NSN involvement. The use of this nomogram achieves two main gools: 1) the choice of the right treatment during the operation, 2) to avoid for the patient a second surgery procedure.

Effect of Chemotherapy on the Nutritional Status of Egyptian Patients with Breast Cancer

Background: Chemotherapy and chemotherapy-related symptoms may greatly affect the nutritional status of the patient and reduces the quality of life. Aim of the study: Assessment of the effect of chemotherapy on the nutritional status of breast cancer patients. Methods: In this prospective observational study, we assessed the nutritional status of 60 breast cancer patients receiving chemotherapy by anthropometric measurements including body weight (BW), body mass index (BMI), triceps skin fold (TSF), and mid arm muscle circumference (MAMC). Symptoms related to chemotherapy wereassessed with a yes/no questionnaire. Results: Forty three patients (71%) experienced weight loss during the course of treatment. Compared to baseline assessment before starting chemotherapy, there was a significant reduction in the average of all parameters at the end of chemotherapy. Body weight decreased from 78.97 (±9.6) kg to 73.65 (±14.1) kg, BMI from 30.15 (±3.2) kg/m2 to 28.01 (±4.8) kg/m2, TSF from 4.23 (±0.5) cm to 3.97 (±0.68) cm and MAMC from 36.31 (4.02) cm to 34.61 (±5.04) cm (p 1 week (p < 0.001). Similarly, BMI reduction was significantly associated with loss of appetite and its duration (p < 0.001). Conclusion: During chemotherapy, breast cancer patients are prone to lose weight particularly, those patients who experience taste alteration and appetite-loss for longer duration

Rs15869 at miRNA binding site in BRCA2 is associated with breast cancer susceptibility.

BRCA1 and BRCA2 mutations confer an increased lifetime risk of breast cancer; however, the associations of microRNA (miRNA) binding site single nucleotide polymorphisms (SNPs) in 3' untranslated region (3'-UTR) of BRCA1 and BRCA2 with breast cancer (BC) risk were rarely reported. In this case-control study (498 BC patients and 498 matched controls), three SNPs (rs8176318, rs12516 and rs15869) were selected in the 3'-UTR of BRCA1 and BRCA2 genes, which were within miRNA-binding seed regions and might have potential function to regulate the expression of BRCA1/BRCA2. Unconditional logistic regression model was used to analyze the association between three SNPs and BC risk with adjustment of reproductive factors, and Student's t test was performed to assess relative expression of BRCA2 in human breast cancer cell lines. Multifactor dimensionality reduction method was applied to calculate gene-reproductive factors interactions. A novel finding showed that AC [odds ratio (OR) 1.524; 95% confidence interval (CI) 1.141-2.035] genotype of rs15869 in BRCA2 could increase the risk of BC and recombinant plasmid-pGenesil-1-miR-627 could negatively regulate the expression of BRCA2 in MCF-7 and MDA-MB-231 cells. Gene-reproductive factors interactions analysis revealed that rs15869 together with age at menarche and number of pregnancy could increase the risk of BC by 2.39-fold and TT genotype (OR 0.316; 95% CI 0.130-0.767) of rs8176318 had a significant association with progesterone receptor status in BC patients. Our findings suggest that the miRNA-binding SNPs in BRCA1/BRCA2 and their interaction with reproductive factors might contribute to BC risk, and miR-627 might down-regulate BRCA2 expression in MCF-7 and MDA-MB-231 cells.

GWAS in the SIGNAL/PHARE clinical cohort restricts the association between the FGFR2 locus and estrogen receptor status to HER2-negative breast cancer patients.

Genetic polymorphisms are associated with breast cancer risk. Clinical and epidemiological observations suggest that clinical characteristics of breast cancer, such as estrogen receptor or HER2 status, are also influenced by hereditary factors. To identify genetic variants associated with pathological characteristics of breast cancer patients, a Genome Wide Association Study was performed in a cohort of 9365 women from the French nationwide SIGNAL/PHARE studies (NCT00381901/RECF1098). Strong association between the FGFR2 locus and ER status of breast cancer patients was observed (ER-positive n=6211, ER-negative n=2516; rs3135718 OR=1.34 p=5.46×10−12). This association was limited to patients with HER2-negative tumors (ER-positive n=4267, ER-negative n=1185; rs3135724 OR=1.85 p=1.16×10−11). The FGFR2 locus is known to be associated with breast cancer risk. This study provides sound evidence for an association between variants in the FGFR2 locus and ER status among breast cancer patients, particularly among patients with HER2-negative disease. This refinement of the association between FGFR2 variants and ER-status to HER2-negative disease provides novel insight to potential biological and clinical influence of genetic polymorphisms on breast tumors.