Literature DB >> 33525353

Transcriptome Patterns of BRCA1- and BRCA2- Mutated Breast and Ovarian Cancers.

Arsen Arakelyan1,2, Ani Melkonyan3, Siras Hakobyan1, Uljana Boyarskih4, Arman Simonyan1, Lilit Nersisyan1, Maria Nikoghosyan1,2, Maxim Filipenko4, Hans Binder5.   

Abstract

Mutations in the BRCA1 and BRCA2 genes are known risk factors and drivers of breast and ovarian cancers. So far, few studies have been focused on understanding the differences in transcriptome and functional landscapes associated with the disease (breast vs. ovarian cancers), gene (BRCA1 vs. BRCA2), and mutation type (germline vs. somatic). In this study, we were aimed at systemic evaluation of the association of BRCA1 and BRCA2 germline and somatic mutations with gene expression, disease clinical features, outcome, and treatment. We performed BRCA1/2 mutation centered RNA-seq data analysis of breast and ovarian cancers from the TCGA repository using transcriptome and phenotype "portrayal" with multi-layer self-organizing maps and functional annotation. The results revealed considerable differences in BRCA1- and BRCA2-dependent transcriptome landscapes in the studied cancers. Furthermore, our data indicated that somatic and germline mutations for both genes are characterized by deregulation of different biological functions and differential associations with phenotype characteristics and poly(ADP-ribose) polymerase (PARP)-inhibitor gene signatures. Overall, this study demonstrates considerable variation in transcriptomic landscapes of breast and ovarian cancers associated with the affected gene (BRCA1 vs. BRCA2), as well as the mutation type (somatic vs. germline). These results warrant further investigations with larger groups of mutation carriers aimed at refining the understanding of molecular mechanisms of breast and ovarian cancers.

Entities:  

Keywords:  BRCA1; BRCA2; breast cancer; multi-layer self-organizing maps; ovarian cancer; somatic and germline mutations; transcriptome portrayal

Year:  2021        PMID: 33525353      PMCID: PMC7865215          DOI: 10.3390/ijms22031266

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  75 in total

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Authors:  Qinqin Jiang; Roger A Greenberg
Journal:  J Biol Chem       Date:  2015-06-05       Impact factor: 5.157

Review 2.  PARP inhibition: PARP1 and beyond.

Authors:  Michèle Rouleau; Anand Patel; Michael J Hendzel; Scott H Kaufmann; Guy G Poirier
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3.  oposSOM: R-package for high-dimensional portraying of genome-wide expression landscapes on bioconductor.

Authors:  Henry Löffler-Wirth; Martin Kalcher; Hans Binder
Journal:  Bioinformatics       Date:  2015-06-10       Impact factor: 6.937

4.  Frequencies of BRCA1 and BRCA2 mutations among 1,342 unselected patients with invasive ovarian cancer.

Authors:  Shiyu Zhang; Robert Royer; Song Li; John R McLaughlin; Barry Rosen; Harvey A Risch; Isabel Fan; Linda Bradley; Patricia A Shaw; Steven A Narod
Journal:  Gynecol Oncol       Date:  2011-02-15       Impact factor: 5.482

5.  Diversity and functional consequences of germline and somatic PTPN11 mutations in human disease.

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Journal:  Am J Hum Genet       Date:  2005-12-07       Impact factor: 11.025

6.  Expression cartography of human tissues using self organizing maps.

Authors:  Henry Wirth; Markus Löffler; Martin von Bergen; Hans Binder
Journal:  BMC Bioinformatics       Date:  2011-07-27       Impact factor: 3.169

7.  Clinical characteristics of ovarian cancer classified by BRCA1, BRCA2, and RAD51C status.

Authors:  J M Cunningham; M S Cicek; N B Larson; J Davila; C Wang; M C Larson; H Song; E M Dicks; P Harrington; M Wick; B J Winterhoff; H Hamidi; G E Konecny; J Chien; M Bibikova; J-B Fan; K R Kalli; N M Lindor; B L Fridley; P P D Pharoah; E L Goode
Journal:  Sci Rep       Date:  2014-02-07       Impact factor: 4.379

8.  Robust multi-group gene set analysis with few replicates.

Authors:  Pashupati P Mishra; Alan Medlar; Liisa Holm; Petri Törönen
Journal:  BMC Bioinformatics       Date:  2016-12-09       Impact factor: 3.169

9.  A Quantitative Chemotherapy Genetic Interaction Map Reveals Factors Associated with PARP Inhibitor Resistance.

Authors:  Hsien-Ming Hu; Xin Zhao; Swati Kaushik; Lilliane Robillard; Antoine Barthelet; Kevin K Lin; Khyati N Shah; Andy D Simmons; Mitch Raponi; Thomas C Harding; Sourav Bandyopadhyay
Journal:  Cell Rep       Date:  2018-04-17       Impact factor: 9.423

10.  Expression of zinc finger transcription factors (ZNF143 and ZNF281) in serous borderline ovarian tumors and low-grade ovarian cancers.

Authors:  Paweł Sadłecki; Marek Grabiec; Dariusz Grzanka; Jakub Jóźwicki; Paulina Antosik; Małgorzata Walentowicz-Sadłecka
Journal:  J Ovarian Res       Date:  2019-03-18       Impact factor: 4.234

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  1 in total

Review 1.  Toward More Comprehensive Homologous Recombination Deficiency Assays in Ovarian Cancer, Part 1: Technical Considerations.

Authors:  Stanislas Quesada; Michel Fabbro; Jérôme Solassol
Journal:  Cancers (Basel)       Date:  2022-02-23       Impact factor: 6.639

  1 in total

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