Literature DB >> 26581147

MicroRNA-Related DNA Repair/Cell-Cycle Genes Independently Associated With Relapse After Radiation Therapy for Early Breast Cancer.

Harriet E Gee1, Francesca M Buffa2, Adrian L Harris2, Joanne M Toohey3, Susan L Carroll3, Caroline L Cooper4, Jane Beith3, Catriona McNeil5, Hugh Carmalt3, Cindy Mak3, Sanjay Warrier3, Anne Holliday6, Christina Selinger7, Rhiannon Beckers7, Catherine Kennedy8, Peter Graham9, Alexander Swarbrick10, Ewan K A Millar11, Sandra A O'Toole12, Timothy Molloy6.   

Abstract

PURPOSE: Local recurrence and distant failure after adjuvant radiation therapy for breast cancer remain significant clinical problems, incompletely predicted by conventional clinicopathologic markers. We had previously identified microRNA-139-5p and microRNA-1274a as key regulators of breast cancer radiation response in vitro. The purpose of this study was to investigate standard clinicopathologic markers of local recurrence in a contemporary series and to establish whether putative target genes of microRNAs involved in DNA repair and cell cycle control could better predict radiation therapy response in vivo. METHODS AND MATERIALS: With institutional ethics board approval, local recurrence was measured in a contemporary, prospectively collected series of 458 patients treated with radiation therapy after breast-conserving surgery. Additionally, independent publicly available mRNA/microRNA microarray expression datasets totaling >1000 early-stage breast cancer patients, treated with adjuvant radiation therapy, with >10 years of follow-up, were analyzed. The expression of putative microRNA target biomarkers--TOP2A, POLQ, RAD54L, SKP2, PLK2, and RAG1--were correlated with standard clinicopathologic variables using 2-sided nonparametric tests, and to local/distant relapse and survival using Kaplan-Meier and Cox regression analysis.
RESULTS: We found a low rate of isolated local recurrence (1.95%) in our modern series, and that few clinicopathologic variables (such as lymphovascular invasion) were significantly predictive. In multiple independent datasets (n>1000), however, high expression of RAD54L, TOP2A, POLQ, and SKP2 significantly correlated with local recurrence, survival, or both in univariate and multivariate analyses (P<.001). Low RAG1 expression significantly correlated with local recurrence (multivariate, P=.008). Additionally, RAD54L, SKP2, and PLK2 may be predictive, being prognostic in radiation therapy-treated patients but not in untreated matched control individuals (n=107; P<.05).
CONCLUSIONS: Biomarkers of DNA repair and cell cycle control can identify patients at high risk of treatment failure in those receiving radiation therapy for early breast cancer in independent cohorts. These should be further investigated prospectively, especially TOP2A and SKP2, for which targeted therapies are available.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26581147     DOI: 10.1016/j.ijrobp.2015.08.046

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  10 in total

Review 1.  Radiation therapy for triple-negative breast cancer: emerging role of microRNAs as biomarkers and radiosensitivity modifiers. A systematic review.

Authors:  Nina Radosevic-Robin; Yazid Belkacemi; Nhu Hanh To; Hoang Quy Nguyen; Allan Thiolat; Bisheng Liu; José Cohen
Journal:  Breast Cancer Res Treat       Date:  2022-04-09       Impact factor: 4.872

2.  miR-10a as a therapeutic target and predictive biomarker for MDM2 inhibition in acute myeloid leukemia.

Authors:  Timothy J Molloy; David D Ma; Thi Thanh Vu; Friedrich Stölzel; Kristy W Wang; Christoph Röllig; Melinda L Tursky
Journal:  Leukemia       Date:  2020-12-01       Impact factor: 11.528

3.  Role of gene signatures combined with pathology in classification of oropharynx head and neck cancer.

Authors:  Andrew Dhawan; Jacob Scott; Purnima Sundaresan; Michael Veness; Sandro Porceddu; Eric Hau; Adrian L Harris; Francesca M Buffa; Harriet E Gee
Journal:  Sci Rep       Date:  2020-06-23       Impact factor: 4.379

4.  TOP2A correlates with poor prognosis and affects radioresistance of medulloblastoma.

Authors:  Yufeng Zhang; Haiyan Yang; Liwen Wang; Huandi Zhou; Ge Zhang; Zhiqing Xiao; Xiaoying Xue
Journal:  Front Oncol       Date:  2022-07-15       Impact factor: 5.738

Review 5.  Polo-Like Kinase 2: From Principle to Practice.

Authors:  Chuanyong Zhang; Chuangye Ni; Hao Lu
Journal:  Front Oncol       Date:  2022-07-08       Impact factor: 5.738

6.  Extensive Transcriptomic and Genomic Analysis Provides New Insights about Luminal Breast Cancers.

Authors:  Inna Tishchenko; Heloisa Helena Milioli; Carlos Riveros; Pablo Moscato
Journal:  PLoS One       Date:  2016-06-24       Impact factor: 3.240

7.  Biological subtype predicts locoregional recurrence after postmastectomy radiotherapy in Chinese breast cancer patients.

Authors:  Jiangfeng Wang; Jurui Luo; Kairui Jin; Xuanyi Wang; Zhaozhi Yang; Jinli Ma; Xin Mei; Xiaofang Wang; Zhirui Zhou; Xiaoli Yu; Xingxing Chen; Xiaomao Guo
Journal:  Cancer Med       Date:  2020-02-12       Impact factor: 4.452

8.  The New Paradigm of Network Medicine to Analyze Breast Cancer Phenotypes.

Authors:  Anna Maria Grimaldi; Federica Conte; Katia Pane; Giulia Fiscon; Peppino Mirabelli; Simona Baselice; Rosa Giannatiempo; Francesco Messina; Monica Franzese; Marco Salvatore; Paola Paci; Mariarosaria Incoronato
Journal:  Int J Mol Sci       Date:  2020-09-12       Impact factor: 5.923

Review 9.  Modelling the Functions of Polo-Like Kinases in Mice and Their Applications as Cancer Targets with a Special Focus on Ovarian Cancer.

Authors:  Monika Kressin; Daniela Fietz; Sven Becker; Klaus Strebhardt
Journal:  Cells       Date:  2021-05-12       Impact factor: 6.600

10.  A six-gene-based signature for breast cancer radiotherapy sensitivity estimation.

Authors:  Xing Chen; Junjie Zheng; Min Ling Zhuo; Ailong Zhang; Zhenhui You
Journal:  Biosci Rep       Date:  2020-12-23       Impact factor: 3.840

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.