Marker Systems Based on MicroRNA Gene Methylation for the Diagnosis of Stage I-II Breast Cancer

2019 ◽  
Vol 168 (2) ◽  
pp. 280-284
Author(s):  
E. A. Braga ◽  
E. A. Filippova ◽  
V. I. Loginov ◽  
I. V. Pronina ◽  
A. M. Burdennyi ◽  
...  
2020 ◽  
pp. 4-14
Author(s):  
Denis A. Ryabchikov ◽  
S.V. Chulkova ◽  
Orifjon A. Talipov ◽  
Igor K. Vorotnikov ◽  
Aleksey M. Kazakov ◽  
...  

2016 ◽  
Vol 12 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Renato Tozzoli ◽  
Federica D';Aurizio ◽  
Flavio Falcomer ◽  
Stefano M.M. Basso ◽  
Franco Lumachi

2020 ◽  
Vol 15 ◽  
Author(s):  
Athira K ◽  
Vrinda C ◽  
Sunil Kumar P V ◽  
Gopakumar G

Background: Breast cancer is the most common cancer in women across the world, with high incidence and mortality rates. Being a heterogeneous disease, gene expression profiling based analysis plays a significant role in understanding breast cancer. Since expression patterns of patients belonging to the same stage of breast cancer vary considerably, an integrated stage-wise analysis involving multiple samples is expected to give more comprehensive results and understanding of breast cancer. Objective: The objective of this study is to detect functionally significant modules from gene co-expression network of cancerous tissues and to extract prognostic genes related to multiple stages of breast cancer. Methods: To achieve this, a multiplex framework is modelled to map the multiple stages of breast cancer, which is followed by a modularity optimization method to identify functional modules from it. These functional modules are found to enrich many Gene Ontology terms significantly that are associated with cancer. Result and Discussion: predictive biomarkers are identified based on differential expression analysis of multiple stages of breast cancer. Conclusion: Our analysis identified 13 stage-I specific genes, 12 stage-II specific genes, and 42 stage-III specific genes that are significantly regulated and could be promising targets of breast cancer therapy. That apart, we could identify 29, 18 and 26 lncRNAs specific to stage I, stage II and stage III respectively.


2020 ◽  
Vol 12 ◽  
pp. 175883592095835
Author(s):  
Wei-Ping Li ◽  
Hong-Fei Gao ◽  
Fei Ji ◽  
Teng Zhu ◽  
Min-Yi Cheng ◽  
...  

Background and aims: Male breast cancer is an uncommon disease. The benefit of adjuvant chemotherapy in the treatment of male breast cancer patients has not been determined. The aim of this study was to explore the value of adjuvant chemotherapy in men with stage I–III breast cancer, and we hypothesized that some male patients may safely skip adjuvant chemotherapy. Methods: Male breast cancer patients between 2010 and 2015 from the Surveillance Epidemiology and End Results database were included. Univariate and multivariate Cox analyses were used to analyse the factors associated with survival. The propensity score matching method was adopted to balance baseline characteristics. Kaplan–Meier curves were used to evaluate the impacts of adjuvant chemotherapy on survival. The primary endpoint was survival. Results: We enrolled 514 patients for this study, including 257 patients treated with chemotherapy and 257 patients without. There was a significant difference in overall survival (OS) but not in breast cancer-specific survival (BCSS) between the two groups ( p < 0.001 for OS and p = 0.128 for BCSS, respectively). Compared with the non-chemotherapy group, the chemotherapy group had a higher 4-year OS rate (97.5% versus 95.2%, p < 0.001), while 4-year BCSS was similar (98% versus 98.8%, p = 0.128). The chemotherapy group had longer OS than the non-chemotherapy group among HR+, HER2–, tumour size >2 cm, lymph node-positive male breast cancer patients ( p < 0.05). Regardless of tumour size, there were no differences in OS or BCSS between the chemotherapy and non-chemotherapy cohorts for lymph node-negative patients (OS: p > 0.05, BCSS: p > 0.05). Adjuvant chemotherapy showed no significant effects on both OS and BCSS in patients with stage I (OS: p = 0.100, BCSS: p = 0.858) and stage IIA breast cancer (OS: p > 0.05, BCSS: p > 0.05). Conclusion: For stage I and stage IIA patients, adjuvant chemotherapy could not improve OS and BCSS. Therefore, adjuvant chemotherapy might be skipped for stage I and stage IIA male breast cancer patients.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Fereshteh Shahrabi Farahani ◽  
Keiu Paapsi ◽  
Kaire Innos

Abstract Background Radiation therapy is an important part of multimodal breast cancer treatment. The aim was to examine the impact of sociodemographic factors on radiation therapy use in breast cancer (BC) patients in Estonia, linking cancer registry data to administrative databases. Methods Estonian Cancer Registry provided data on women diagnosed with BC in Estonia in 2007–2018, including TNM stage at diagnosis. Use of radiation therapy within 12 months of diagnosis was determined from Estonian Health Insurance Funds claims, and sociodemographic characteristics from population registry. Receipt of radiation therapy was evaluated over time and by clinical and sociodemographic factors. Poisson regression with robust variance was used to calculate univariate and multivariate prevalence rate ratios (PRR) with 95 % confidence intervals (CI) for receipt of radiation therapy among stage I–III BC patients age < 70 years who underwent primary surgery. Results Overall, of 8637 women included in the study, 4310 (50 %) received radiation therapy within 12 months of diagnosis. This proportion increased from 39 to 58 % from 2007 to 2009 to 2016–2018 (p < 0.001). Multivariate regression analysis showed that compared to women with stage I BC, those with more advanced stage were less likely to receive radiation therapy. Receipt of radiation therapy increased significantly over time and was nearly 40 % higher in 2016–2018 than in 2007–2009. Use of radiation therapy was significantly lower for women with the lowest level of education compared to those with a university degree (PRR 0.88, 95 % CI 0.80–0.97), and for divorced/widowed women (PRR 0.95, 95 % CI 0.91–0.99) and single women (PRR 0.92, 95 % CI 0.86–0.99), compared to married women. Age at diagnosis, nationality and place of residence were not associated with receipt of radiation therapy. Conclusions The study showed considerable increase in the use of radiation therapy in Estonia over the study period, which is in line with increases in available equipment. The lack of geographic variations suggests equal access to therapy for patients living in remote regions. However, educational level and marital status were significantly associated with receipt of radiation therapy, highlighting the importance of psychosocial support in ensuring equal access to care.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Katsunori Tozuka ◽  
Pattama Wongsirisin ◽  
Shigenori E. Nagai ◽  
Yasuhito Kobayashi ◽  
Miki Kanno ◽  
...  

AbstractTo understand the mechanism underlying metastasis, identification of a mechanism-based and common biomarker for circulating tumour cells (CTCs) in heterogenous breast cancer is needed. SET, an endogenous inhibitor of protein phosphatase 2A, was overexpressed in all subtypes of invasive breast carcinoma tissues. Treatment with SET-targeted siRNAs reduced the motility of MCF-7 and MDA-MB-231 cells in transwell assay. SET knockdown reduced the number of mammospheres by 60–70% in MCF-7 and MDA-MB-231 cells, which was associated with the downregulation of OCT4 and SLUG. Hence, we analysed the presence of SET-expressing CTCs (SET-CTCs) in 24 breast cancer patients. CTCs were enriched using a size-based method and then immunocytochemically analysed using an anti-SET antibody. SET-CTCs were detected in 6/6 (100%) patients with recurrent breast cancer with a median value of 12 (12 cells/3 mL blood), and in 13/18 (72.2%) patients with stage I–III breast cancer with a median value of 2.5, while the median value of healthy controls was 0. Importantly, high numbers of SET-CTCs were correlated with lymph node metastasis in patients with stage I–III disease. Our results indicate that SET contributes to breast cancer progression and can act as a potential biomarker of CTCs for the detection of metastasis.


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