scholarly journals Performing Data Mining to Explain the Correlation between the BIRC5 Gene and Prognosis in Breast Cancer Patients

2020 ◽  
Author(s):  
Hong Dongsheng ◽  
Zhang YanFang ◽  
Ye Ziqi ◽  
Chen Jing ◽  
Lu Xiaoyang

Abstract Background: Breast cancer is the most commonly malignant cancers in women, and BIRC5 has been found to be overexpressed in a variety of human tumors. Its expression is associated with the prognosis of many cancers. However, whether BIRC5 mRNA could be used as an independent prognostic factor for breast cancer remains inconsistent in previous studies.Methods: Altered BIRC5 expression in normal tissue relative to various tumor tissue and in breast cancer patients with different molecular subtypes, clinical outcomes and chemotherapy responses were examined using the Oncomine, GOBO and Kaplan-Meier plotter datasets.Results: We found that many breast cancers had increased BIRC5 mRNA expression, and GOBO analysis showed that triple-negative cell lines displayed highest BIRC5 mRNA expression levels in the breast cancer cell line panel. Moreover, BIRC5 high mRNA expression was significantly associated with longer relapse-free survival (RFS) in all breast cancer patients. In particular, sub analysis revealed that high mRNA expression of BIRC5 was significantly associated with better survival in ER positive (HR = 2.05, p = 1e-16), but not in ER negative breast cancer (HR = 1.24, p = 0.1), furthermore, the results also demonstrated that BIRC5 high expression was significantly associated with longer RFS in luminal A (HR = 1.51, p = 3.1e-06) and luminal B (HR = 1.28, p = 0.026).Conclusions: In conclusion, BIRC5 is involved in the development and progression of breast cancer and may be a suitable prognostic marker for human breast cancer.

2020 ◽  
Author(s):  
Yuan Tian ◽  
Jennifer L Guida ◽  
Hela Koka ◽  
Er-Ni Li ◽  
Bin Zhu ◽  
...  

Abstract Background Studies investigating associations between mammographic density (MD) and breast cancer subtypes have generated mixed results. We previously showed that having extremely dense breasts was associated with the HER2-enriched subtype in Chinese breast cancer patients. Methods In this study, we re-evaluated the MD-subtype association in 1,549 Chinese breast cancer patients, using VolparaDensity software to obtain quantitative MD measures. All statistical tests were two-sided. Results Compared to women with luminal A tumors, women with luminal B/HER2- (odds ratio [OR]=1.20, 95% confidence interval [CI]: 1.04-1.38, p = 0.01), luminal B/HER2 + (OR = 1.22, 95% CI: 1.03-1.46, p = 0.03), and HER2-enriched tumors (OR = 1.30, 95% CI: 1.06-1.59, p = 0.01) had higher fibroglandular dense volume. These associations were stronger in patients with smaller tumors (<2cm). In contrast, the triple negative subtype was associated with lower non-dense volume (OR = 0.82, 95% CI: 0.68-0.99, p = 0.04), and the association was only seen among older women (>50 years old). Conclusion Although biological mechanisms remain to be investigated, the associations for the HER2-enriched and luminal B subtypes with increasing MD may partially explain the higher prevalence of luminal B and HER2+ breast cancers previously reported in Asian women.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 565-565
Author(s):  
Naoki Niikura ◽  
Shinobu Masuda ◽  
Mizuho Terada ◽  
Mayako Terao ◽  
Nobue Kumaki ◽  
...  

565 Background: Immunohistochemical (IHC) Ki67 has described it as a prognostic and predictive marker for breast cancer. The St. Gallen Consensus Meeting determined that Ki67 labeling index is chiefly important for distinguishing between “Luminal A” and “Luminal B (HER2 negative)” subtypes and is a predictive marker for chemotherapeutic efficacy. However, the high and low cutoff points remain controversial. Our objective is to compare survival in patients with low, intermediate, and high Ki67 levels in each subgroup. Methods: We retrospectively identified all the patients in the Tokai University breast cancer database for whom IHC Ki67 data were available between January 1, 2000, and December 31, 2010. Ki67 was defined as low if <10% Ki67 was detected, as Intermediate if 10–20% Ki67 was detected, and as high if >20% Ki67 was detected. To assess Ki67 levels and survival outcomes, survival curves were calculated using the Kaplan–Meier method and compared using the log-rank test. Results: We identified 1331 primary breast cancer patients without metastasis, of whom 686 received neoadjuvant or adjuvant chemotherapy. Patients with high Ki67 had poorer relapse-free survival (RFS) than patients with intermediate (p = 0.009) and low Ki67 (p < 0.001). Patients with intermediate Ki67 had poorer RFS than patients with low Ki67 (p < 0.001). In ER-positive cases (n = 1059), patients with high and intermediate Ki67 had poorer RFS than patients with low Ki67 (p < 0.001 and p = 0.002, respectively). In HER2-positive and ER-negative cases (n = 103), patients with high Ki67 had poorer RFS than patients with low Ki67 (p = 0.002). In triple-negative cases (n = 164), patients with high Ki67 tended to have poorer RFS than patients with low Ki67 (p = 0.064). Conclusions: Our data demonstrated that low, intermediate, and high Ki67 levels may be used to differentiate prognosis in ER-positive cancer patients as well as HER2-positive and triple-negative cancer patients.


2013 ◽  
Vol 31 (26_suppl) ◽  
pp. 24-24
Author(s):  
Joaquina Martínez-Galán ◽  
Cynthia S. González Rivas ◽  
Julia Ruiz Vozmediano ◽  
Lucia Portellano ◽  
Juan Ramón Delgado

24 Background: Estrogen receptor (ER)-positive breast cancers are considered prognostically more favorable than ER-negative tumors and are often responsive to anti-estrogen therapy. Whereas tumors overexpressing HER2 are endocrine resistant and they require the blockage of the HER2 pathway in addition to estrogen deprivation. To evaluate epigenetics differences in tumor-related genes to ESR1 and HER2/neu status in primary breast cancer is the objective of this study. Methods: We quantified methylation levels of promoter of ERS1 which are to confer growth adventage to cells in 107 women with breast cancer. Real Time QMS-PCR SYBR green (methylation-specific PCR) was used to analyze the hypermethylation. Tumours were classified as phenotype basal, luminal A, Luminal B, and phenotype HER2+. Results: Presence of methylated ESR1 in serum of breast cancer patients was associated with ER-negative phenotype (p=0.0179). Of the available cases, 60 pts (56%) were Luminal A, 10 pts (9.3%) Luminal B, 13 pts (12%) Basal like, and 9 pts (8.4%) HER2+. We observed that methylated ERS1 was preferably associated with phenotype Basal Like and worse interval progression free and survival global though p > 0.05 and the amplification HER2+ was correlation with significant more frequent methylation gene (p<0.05). Thet hypermethylation of normal ERS1 and 14-3-3σ combined differentiated between breast cancer patients and healthy controls (p = 0.0001) with a sensitivity of 81% (95% CI: 72–88%) and specificity of 88% (95% CI: 78–94%). Conclusions: This study identifies the presence of variations in global levels of methylation promoters genes in healthy controls and breast cancer with different phenotype classes and shows that these differences have clinical significance. These showed that frequent methylation had a strong association with molecular phenotype of breast cancer and perhaps in the future can explain therapy resistance related to RE and HER2/neu status and this may be of significance in the assessment of targeted therapy resistance related to ER and HER2/neu status in breast cancer patients.


2020 ◽  
Vol 19 (1) ◽  
pp. 55-58
Author(s):  
Shafatujjahan ◽  
Ifatujjahan ◽  
Rajat Sanker Roy Biswas

Introduction: Breast cancer is a common malignancy among female in Bangladesh.But its molecular subtypes are not evaluated due to lack of expert investigationsupport. So objectives of the present study are to evaluate the molecular subtypesof breast cancer patients according to St Gallen classification in our contest. Materials and methods: It is retrospective study done among histopathologicallyproved 40 breast cancer patients visiting Medical Oncology and Radiotherapydepartment of Chattogram Maa-O-Shishu Hospital. Molecular subtypes wasevaluated by immunohistochemistry according to St Gallen Classification. Results: In this study a total of 40 cases of invasive female breast cancers wereincluded. Age of the patients ranged from 31-62 years, with a mean age of 41 ±13.5 years. ER expression was seen in 60% and PR in 55% of cases and Her-2/neupositivity in 16%. Majority (52.5%) of the tumors were located in the left breast. Thepercentage of ER but not PR positivity increased with age, though this differencewas not statistically significant. Majority of the cases were diagnosed at stage IIwith a percentage of 42.5%. Stage II tumors showed more ER and PR positivity.Among all 57.9% of ER positive and 49.5% of PR positive tumors were present while72.2% of tumors were negative for Her-2/neu. The triple-negative breast tumorswere more commonly found at grade 2. Regarding luminal status 14(35%) wasLuminal A, 5(12.5%) was Luminal B, 9(22.5%) was TNBC and 12(30%) was HER 2positive. Conclusion: In this study luminal A was the commonest molecular subtypes. LuminalA subtypes tumors had a long term risk of distant matastatic disease which can bereduced by hormonal treatment. Chatt Maa Shi Hosp Med Coll J; Vol.19 (1); January 2020; Page 55-58


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13065-e13065
Author(s):  
Qian Dong ◽  
Mi Zhang ◽  
Da Jiang

e13065 Background: To analyze the correlation between tumor size and metastatic site in first-diagnosed stage IV breast cancer patients. Methods: Stage IV breast cancer patients diagnosed from 2010 to 2015 were screened by the Surveillance, Epidemiology, and End Results (SEER) database. The characteristics of clinical variables were represented by a frequency table, and the Chi-square test was used for comparison. At the same time, the Chi-square test was used to analyze the relationship between tumor size and organ metastasis. Correlation between tumor size and the prognosis of patients was contributed by KM curve and Log-rank test. Results: Regardless of tumor size, the proportion of bone metastasis was higher and brain metastasis was lower in breast cancer patients. There were significant differences in the site of metastases based on different subtype. Luminal A and Luminal B breast cancer had the highest proportion of bone metastases; brain metastasis accounted for the highest proportion in triple-negative breast cancer (TNBC); while the incidence of liver metastasis was the highest in Her-2(+) breast cancer. At the same time, the results indicated that Luminal A breast cancer with a tumor size > 5 cm was more likely to develop multi-site metastasis and lung metastasis, while Luminal B breast cancer with a tumor size ≤ 5 cm was more likely to develop liver metastasis. The results also revealed that TNBC patients with a tumor size of 0 - 2cm were more likely to develop bone metastasis than those with a tumor size > 5 cm, and the incidence of lung metastasis in triple-negative patients showed an increasing trend with the increase of tumor size. Conclusions: Based on subtype, we found that there was a significant difference between tumor size and metastatic site in patients with stage IV breast cancer, and the difference was statistically significant. This study provided evidence-based basis for decision-making of stage IV breast cancer treatment.


2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 262-262
Author(s):  
S. Takayama ◽  
J. Matsui ◽  
N. Ando

262 Background: Consensus recommendations for breast cancer are come into wide use, and we believe clinical guidelines leads our patients to improved outcome. Recently, gene profiling can be available, and immunohistochemical surrogates for molecular subtyping can provide much of prognostic and predictive factors. We investigated the relationship between compliance with consensus recommendations and clinical outcome of each subtype on the hypothesis that conformity with consensus recommendations is associated with increased survival among all intrinsic subtypes. Methods: We investigated breast cancer patients operated in our hospital from 2002 to 2004. DCIS, Stage 4 and male breast cancer were excluded. Patients were divided into luminal A (ER+ and/or PgR+, HER2-, low nuclear grade (NG)), luminal B (ER+ and/or PgR+, HER2-, high NG), luminal-HER2 (ER+ and/or PgR+, HER2+), HER2 (ER-, PgR-, HER2+) and triple negative (TN), (ER-, PgR-, HER2-). All patients were divided into compliance group or non-compliance group according to their conformity with consensus recommendations. Kaplan-Meier analysis was used in statistical studies. Results: 121 breast cancer patients were eligible and investigated in this study. Median follow-up period was 6.7 years. Fifteen relapse cases (12.4%) were identified. Among luminal A patients, compliance group was significantly associated with better recurrence free survival compared with non-compliance group with Kaplan-Meier analysis (p<0.001). In contrast, there was no difference between compliance group and non-compliance group among the other subtypes. Median time to recurrence (4.2 year) in non-compliance group among luminal A was apparently longer than that (1.7 year) in compliance group among the other subtypes. Conclusions: Compliance group was significantly associated with better clinical outcome compared with non-compliance group among luminal A. This study suggests that cautious follow-up is required against non-compliance patients among luminal A, because time to recurrence of them was longer than that of both compliance and non-compliance subgroups among the other subtypes.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12574-e12574
Author(s):  
Yoshihisa Tokumaru ◽  
Masanori Oshi ◽  
Eriko Katsuta ◽  
Nobuhisa Matsuhashi ◽  
Manabu Futamura ◽  
...  

e12574 Background: MicroRNA-143(miR-143) is a well-known tumor suppressive microRNA in various malignancies, including breast cancer. Recently, the tumor immune microenvironment has been reported to associate with progression of breast cancers. However, the association with the tumor immune microenvironment and miR-143 in breast cancers remains ambiguous. Given these backgrounds, we hypothesized that high expression of miR-143 is associated with favorable effect to the tumor immune microenvironment which leads to better survival of ER positive breast cancer patients. Methods: Two major publicly available breast cancer cohorts were used for this study. A total of 753 patients from The Cancer Genome Atlas (TCGA) and total of 1283 patients from Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) were used. Results: We defined the higher quartile of miR-143 expression levels as high and the remainder as low expression groups. There was no significant difference in patient clinicopathlogical features between two groups. Gene set enrichment analysis (GSEA) revealed that miR-143 high expression tumors enriched Helper T cell type 1 (Th1) related gene sets indicating the upregulation of anti-cancer immune cells. Also, the cell composition of anti-cancer immune cells, such as Th1 and Macrophage M1 were higher with miR-143 high tumors (p < 0.001 and p < 0.01 respectively) in whole group. On the contrary, pro-cancer immune cells such as Th2 and M1 were lower with miR-143 high tumors (p < 0.01 and p < 0.001 respectively) in whole group. Interestingly, among the subtypes, we found that ER positive subgroup followed this trend of high infiltration rate of anti-cancer immune cells and low infiltration rate of pro-cancer immune cells. Furthermore, only ER positive subgroup demonstrated the survival benefit with miR-143 high expression tumors. Conclusions: We demonstrated that high expression of miR-143 in ER breast cancer associate with favorable tumor immune microenvironment, upregulation of the anti-cancer immune cells and suppression of the pro-cancer immune cells, and associate with better survival of the breast cancer patients.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Shreeya Kotecha ◽  
Marie N. Lebot ◽  
Bhudsaban Sukkarn ◽  
Graham Ball ◽  
Paul M. Moseley ◽  
...  

AbstractDopamine and cAMP regulated phosphoprotein 32 kDa (DARPP-32) also known as phosphoprotein phosphatase-1 regulatory subunit 1B and encoded by the PPP1R1B gene is an inhibitor of protein phosphatase-1 and protein kinase A. DARPP-32 is expressed in a wide range of epithelial cells and some solid tumours; however, its role in breast cancer is only partially defined. DARPP-32 expression was determined using immunohistochemistry in two independent cohorts of early stage invasive breast cancer patients (discovery n = 1352; validation n = 1655), and 112 HER2 positive breast cancer patients treated with trastuzumab and adjuvant chemotherapy. PPP1R1B mRNA expression was assessed in the METABRIC cohort (n = 1980), using artificial neural network analysis to identify associated genes. In the discovery cohort, low nuclear expression of DARPP-32 was significantly associated with shorter survival (P = 0.041), which was independent of other prognostic variables (P = 0.019). In the validation cohort, low cytoplasmic and nuclear expression was significantly associated with shorter survival (both P = 0.002), with cytoplasmic expression independent of other prognostic variables (P = 0.023). Stronger associations with survival in oestrogen receptor (ER) positive disease were observed. In patients treated with trastuzumab, low nuclear expression was significantly associated with adverse progression-free survival (P = 0.031). In the METABRIC cohort, low PPP1R1B expression was associated with shortened survival of ER positive patients. Expression of CDC42 and GRB7, amongst others, were associated with PPP1R1B expression. This data suggests a role for DARPP-32 as a prognostic marker with clinical utility in breast cancer.


2014 ◽  
Vol 13 ◽  
pp. CIN.S12493 ◽  
Author(s):  
Li-Yu D. Liu ◽  
Li-Yun Chang ◽  
Wen-Hung Kuo ◽  
Hsiao-Lin Hwa ◽  
Yi-Shing Lin ◽  
...  

The aberrantly expressed signal transducer and activator of transcription 3 (STAT3) predicts poor prognosis, primarily in estrogen receptor positive (ER(+)) breast cancers. Activated STAT3 is overexpressed in luminal A subtype cells. The mechanisms contributing to the prognosis and/or subtype relevant features of STAT3 in ER(+) breast cancers are through multiple interacting regulatory pathways, including STAT3-MYC, STAT3-ERα, and STAT3-MYC-ERα interactions, as well as the direct action of activated STAT3. These data predict malignant events, treatment responses and a novel enhancer of tamoxifen resistance. The inferred crosstalk between ERα and STAT3 in regulating their shared target gene-METAP2 is partially validated in the luminal B breast cancer cell line-MCF7. Taken together, we identify a poor prognosis relevant gene set within the STAT3 network and a robust one in a subset of patients. VEGFA, ABL1, LYN, IGF2R and STAT3 are suggested therapeutic targets for further study based upon the degree of differential expression in our model.


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