Literature DB >> 25936246

Gene analysis techniques and susceptibility gene discovery in non-BRCA1/BRCA2 familial breast cancer.

Fatima Aloraifi1, Michael R Boland2, Andrew J Green3, James G Geraghty2.   

Abstract

Breast cancer is the leading cause of cancer deaths in females worldwide occurring in both hereditary and sporadic forms. Women with inherited pathogenic mutations in the BRCA1 or BRCA2 genes have up to an 85% risk of developing breast cancer in their lifetimes. These patients are candidates for risk-reduction measures such as intensive radiological screening, prophylactic surgery or chemoprevention. However, only about 20% of familial breast cancer cases are attributed to mutations in BRCA1 and BRCA2, while a further 5-10% are attributed to mutations in other rare susceptibility genes such as TP53, STK11, PTEN, ATM and CHEK2. A multitude of genome wide association studies (GWAS) have been conducted confirming low-risk common variants associated with breast cancer in excess of 90 loci, which may contribute to a further 23% of the heritability. We currently find ourselves in "the next generation", with technologies offering deep sequencing at a fraction of the cost. Starting off primarily in a research setting, multi-gene panel testing is now utilized in the clinic to sequence multiple predisposing genes simultaneously (otherwise known as multi-gene panel testing). In this review, we focus on the hereditary breast cancer discoveries, techniques and the challenges we face in this complex disease, especially in the light of the vast amount of data we now have at hand. It has been 20 years since the first breast cancer susceptibility gene has been discovered and there has been substantial progress in unraveling the genetic component of the disease. However, hereditary breast cancer remains a challenging topic subject to common debate.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  BRCA1; BRCA2; Breast neoplasm; Genetic predisposition to disease; Genetics; Sequence analysis

Mesh:

Substances:

Year:  2015        PMID: 25936246     DOI: 10.1016/j.suronc.2015.04.003

Source DB:  PubMed          Journal:  Surg Oncol        ISSN: 0960-7404            Impact factor:   3.279


  14 in total

Review 1.  Genetics and Breast Cancer - Oncologists Perspectives.

Authors:  Radheshyam Naik; Vidya Harini Veldore; Kodaganur S Gopinath
Journal:  Indian J Surg Oncol       Date:  2016-01-13

2.  Expanding the spectrum of germline variants in cancer.

Authors:  Abdul K Siraj; Tariq Masoodi; Rong Bu; Sandeep Kumar Parvathareddy; Ismail A Al-Badawi; Nasser Al-Sanea; Luai H Ashari; Alaa Abduljabbar; Samar Alhomoud; Saif S Al-Sobhi; Asma Tulbah; Dahish Ajarim; Khalid Alzoman; Muna Aljuboury; Hussam Bin Yousef; Mohammed Al-Dawish; Fouad Al-Dayel; Fowzan S Alkuraya; Khawla S Al-Kuraya
Journal:  Hum Genet       Date:  2017-10-03       Impact factor: 4.132

Review 3.  Cancer Progress and Priorities: Breast Cancer.

Authors:  Serena C Houghton; Susan E Hankinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-05       Impact factor: 4.090

4.  Genome-Wide Analysis Identifies Germ-Line Risk Factors Associated with Canine Mammary Tumours.

Authors:  Malin Melin; Patricio Rivera; Maja Arendt; Ingegerd Elvers; Eva Murén; Ulla Gustafson; Mike Starkey; Kaja Sverdrup Borge; Frode Lingaas; Jens Häggström; Sara Saellström; Henrik Rönnberg; Kerstin Lindblad-Toh
Journal:  PLoS Genet       Date:  2016-05-09       Impact factor: 5.917

Review 5.  Oncogenic Viruses and Breast Cancer: Mouse Mammary Tumor Virus (MMTV), Bovine Leukemia Virus (BLV), Human Papilloma Virus (HPV), and Epstein-Barr Virus (EBV).

Authors:  James S Lawson; Brian Salmons; Wendy K Glenn
Journal:  Front Oncol       Date:  2018-01-22       Impact factor: 6.244

6.  Exome Sequencing in a Family with Luminal-Type Breast Cancer Underpinned by Variation in the Methylation Pathway.

Authors:  Nicole van der Merwe; Armand V Peeters; Fredrieka M Pienaar; Juanita Bezuidenhout; Susan J van Rensburg; Maritha J Kotze
Journal:  Int J Mol Sci       Date:  2017-02-22       Impact factor: 5.923

7.  An Approach to Elucidate NBS1 Function in DNA Repair Using Frequent Nonsynonymous Polymorphism in Wild Medaka (Oryzias latipes) Populations.

Authors:  Kento Igarashi; Junya Kobayashi; Takafumi Katsumura; Yusuke Urushihara; Kyohei Hida; Tomomi Watanabe-Asaka; Hiroki Oota; Shoji Oda; Hiroshi Mitani
Journal:  PLoS One       Date:  2017-01-20       Impact factor: 3.240

8.  A novel synthetic ursolic acid derivative inhibits growth and induces apoptosis in breast cancer cell lines.

Authors:  Wei Li; Hongxiu Zhang; Mingxiu Nie; Wei Wang; Zongtao Liu; Ceshi Chen; Haijun Chen; Rong Liu; Zulqarnain Baloch; Ke Ma
Journal:  Oncol Lett       Date:  2017-12-11       Impact factor: 2.967

9.  A survey of microRNA single nucleotide polymorphisms identifies novel breast cancer susceptibility loci in a case-control, population-based study of African-American women.

Authors:  Jeannette T Bensen; Mariaelisa Graff; Kristin L Young; Praveen Sethupathy; Joel Parker; Chad V Pecot; Kevin Currin; Stephen A Haddad; Edward A Ruiz-Narváez; Christopher A Haiman; Chi-Chen Hong; Lara E Sucheston-Campbell; Qianqian Zhu; Song Liu; Song Yao; Elisa V Bandera; Lynn Rosenberg; Kathryn L Lunetta; Christine B Ambrosone; Julie R Palmer; Melissa A Troester; Andrew F Olshan
Journal:  Breast Cancer Res       Date:  2018-06-05       Impact factor: 8.408

Review 10.  Advances in Identification of Susceptibility Gene Defects of Hereditary Colorectal Cancer.

Authors:  Qiang Liu; Yue-Qiu Tan
Journal:  J Cancer       Date:  2019-01-01       Impact factor: 4.207

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