Literature DB >> 33662042

The overexpression of DNA repair genes in invasive ductal and lobular breast carcinomas: Insights on individual variations and precision medicine.

Ruwaa I Mohamed1, Salma A Bargal2, Asmaa S Mekawy2,3, Iman El-Shiekh2,3, Nurcan Tuncbag4, Alaa S Ahmed2,3, Eman Badr3,5, Menattallah Elserafy2,3.   

Abstract

In the era of precision medicine, analyzing the transcriptomic profile of patients is essential to tailor the appropriate therapy. In this study, we explored transcriptional differences between two invasive breast cancer subtypes; infiltrating ductal carcinoma (IDC) and lobular carcinoma (LC) using RNA-Seq data deposited in the TCGA-BRCA project. We revealed 3854 differentially expressed genes between normal ductal tissues and IDC. In addition, IDC to LC comparison resulted in 663 differentially expressed genes. We then focused on DNA repair genes because of their known effects on patients' response to therapy and resistance. We here report that 36 DNA repair genes are overexpressed in a significant number of both IDC and LC patients' samples. Despite the upregulation in a significant number of samples, we observed a noticeable variation in the expression levels of the repair genes across patients of the same cancer subtype. The same trend is valid for the expression of miRNAs, where remarkable variations between patients' samples of the same cancer subtype are also observed. These individual variations could lie behind the differential response of patients to treatment. The future of cancer diagnostics and therapy will inevitably depend on high-throughput genomic and transcriptomic data analysis. However, we propose that performing analysis on individual patients rather than a big set of patients' samples will be necessary to ensure that the best treatment is determined, and therapy resistance is reduced.

Entities:  

Year:  2021        PMID: 33662042      PMCID: PMC7932549          DOI: 10.1371/journal.pone.0247837

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  126 in total

1.  Genomic Characterization of Primary Invasive Lobular Breast Cancer.

Authors:  Christine Desmedt; Gabriele Zoppoli; Gunes Gundem; Giancarlo Pruneri; Denis Larsimont; Marco Fornili; Debora Fumagalli; David Brown; Françoise Rothé; Delphine Vincent; Naima Kheddoumi; Ghizlane Rouas; Samira Majjaj; Sylvain Brohée; Peter Van Loo; Patrick Maisonneuve; Roberto Salgado; Thomas Van Brussel; Diether Lambrechts; Ron Bose; Otto Metzger; Christine Galant; François Bertucci; Martine Piccart-Gebhart; Giuseppe Viale; Elia Biganzoli; Peter J Campbell; Christos Sotiriou
Journal:  J Clin Oncol       Date:  2016-02-29       Impact factor: 44.544

Review 2.  Clinical implications of omics and systems medicine: focus on predictive and individualized treatment.

Authors:  M Benson
Journal:  J Intern Med       Date:  2015-08-19       Impact factor: 8.989

3.  Patterns of metastatic breast cancer in relation to histological type.

Authors:  S Jain; C Fisher; P Smith; R R Millis; R D Rubens
Journal:  Eur J Cancer       Date:  1993       Impact factor: 9.162

4.  Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt.

Authors:  Steffen Durinck; Paul T Spellman; Ewan Birney; Wolfgang Huber
Journal:  Nat Protoc       Date:  2009-07-23       Impact factor: 13.491

5.  Association of genetic polymorphisms of EXO1 gene with risk of breast cancer in Taiwan.

Authors:  Hwei-Chung Wang; Chang-Fang Chiu; Ru-Yin Tsai; Yung-Shun Kuo; Hua-Shiang Chen; Rou-Fen Wang; Chia-Wen Tsai; Chao-Hsiang Chang; Cheng-Chieh Lin; Da-Tian Bau
Journal:  Anticancer Res       Date:  2009-10       Impact factor: 2.480

6.  Involvement of elevated expression of multiple cell-cycle regulator, DTL/RAMP (denticleless/RA-regulated nuclear matrix associated protein), in the growth of breast cancer cells.

Authors:  T Ueki; T Nishidate; J H Park; M L Lin; A Shimo; K Hirata; Y Nakamura; T Katagiri
Journal:  Oncogene       Date:  2008-06-09       Impact factor: 9.867

7.  RAD51AP1 Deficiency Reduces Tumor Growth by Targeting Stem Cell Self-Renewal.

Authors:  Allison E Bridges; Sabarish Ramachandran; Rajneesh Pathania; Utkarsh Parwal; Adrienne Lester; Pragya Rajpurohit; Daley S Morera; Nikhil Patel; Nagendra Singh; Hasan Korkaya; Santhakumar Manicassamy; Puttur D Prasad; Vinata B Lokeshwar; Bal L Lokeshwar; Vadivel Ganapathy; Muthusamy Thangaraju
Journal:  Cancer Res       Date:  2020-07-14       Impact factor: 13.312

8.  BRIP1 overexpression is correlated with clinical features and survival outcome of luminal breast cancer subtypes.

Authors:  Ishita Gupta; Allal Ouhtit; Adil Al-Ajmi; Syed Gauhar A Rizvi; Hamad Al-Riyami; Marwa Al-Riyami; Yahya Tamimi
Journal:  Endocr Connect       Date:  2017-11-14       Impact factor: 3.335

9.  MiR-577 suppresses epithelial-mesenchymal transition and metastasis of breast cancer by targeting Rab25.

Authors:  Chonggao Yin; Qingjie Mou; Xinting Pan; Guoxin Zhang; Hongli Li; Yunbo Sun
Journal:  Thorac Cancer       Date:  2018-03-10       Impact factor: 3.500

Review 10.  Fanconi Anemia Pathway: Mechanisms of Breast Cancer Predisposition Development and Potential Therapeutic Targets.

Authors:  Can-Bin Fang; Hua-Tao Wu; Man-Li Zhang; Jing Liu; Guo-Jun Zhang
Journal:  Front Cell Dev Biol       Date:  2020-04-02
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  2 in total

1.  Transcriptional Analysis of Nuclear-Encoded Mitochondrial Genes in Eight Neurodegenerative Disorders: The Analysis of Seven Diseases in Reference to Friedreich's Ataxia.

Authors:  Muhammad Elsadany; Reem A Elghaish; Aya S Khalil; Alaa S Ahmed; Rana H Mansour; Eman Badr; Menattallah Elserafy
Journal:  Front Genet       Date:  2021-12-20       Impact factor: 4.599

2.  A feature selection-based framework to identify biomarkers for cancer diagnosis: A focus on lung adenocarcinoma.

Authors:  Omar Abdelwahab; Nourelislam Awad; Menattallah Elserafy; Eman Badr
Journal:  PLoS One       Date:  2022-09-06       Impact factor: 3.752

  2 in total

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