Literature DB >> 27372070

Recurrent and pathological gene fusions in breast cancer: current advances in genomic discovery and clinical implications.

Jamunarani Veeraraghavan1,2,3, Jiacheng Ma1,2,3, Yiheng Hu1,2,3, Xiao-Song Wang4,5,6,7,8,9,10.   

Abstract

Gene fusions have long been considered principally as the oncogenic events of hematologic malignancies, but have recently gained wide attention in solid tumors due to several milestone discoveries and the advancement of deep sequencing technologies. With the progress in deep sequencing studies of breast cancer transcriptomes and genomes, the discovery of recurrent and pathological gene fusions in breast cancer is on the focus. Recently, driven by new deep sequencing studies, several recurrent or pathological gene fusions have been identified in breast cancer, including ESR1-CCDC170, SEC16A-NOTCH1, SEC22B-NOTCH2, and ESR1-YAP1 etc. More important, most of these gene fusions are preferentially identified in the more aggressive breast cancers, such as luminal B, basal-like, or endocrine-resistant breast cancer, suggesting recurrent gene fusions as additional key driver events in these tumors other than the known drivers such as the estrogen receptor. In this paper, we have comprehensively summarized the newly identified recurrent or pathological gene fusion events in breast cancer, reviewed the contributions of new genomic and deep sequencing technologies to new fusion discovery and the integrative bioinformatics tools to analyze these data, highlighted the biological relevance and clinical implications of these fusion discoveries, and discussed future directions of gene fusion research in breast cancer.

Entities:  

Keywords:  Bioinformatics; Breast cancer; Genomics; Next-generation sequencing; Recurrent gene fusions; Tumorigenesis

Mesh:

Year:  2016        PMID: 27372070      PMCID: PMC4979600          DOI: 10.1007/s10549-016-3876-y

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  78 in total

1.  Third generation DNA sequencing: pacific biosciences' single molecule real time technology.

Authors:  Alice McCarthy
Journal:  Chem Biol       Date:  2010-07-30

2.  Comrad: detection of expressed rearrangements by integrated analysis of RNA-Seq and low coverage genome sequence data.

Authors:  Andrew McPherson; Chunxiao Wu; Iman Hajirasouliha; Fereydoun Hormozdiari; Faraz Hach; Anna Lapuk; Stanislav Volik; Sohrab Shah; Colin Collins; S Cenk Sahinalp
Journal:  Bioinformatics       Date:  2011-04-09       Impact factor: 6.937

3.  Discovery of biomarkers predictive of GSI response in triple-negative breast cancer and adenoid cystic carcinoma.

Authors:  Alexander Stoeck; Serguei Lejnine; Andrew Truong; Li Pan; Hongfang Wang; Chongzhi Zang; Jing Yuan; Chris Ware; John MacLean; Philip W Garrett-Engele; Michael Kluk; Jason Laskey; Brian B Haines; Christopher Moskaluk; Leigh Zawel; Stephen Fawell; Gary Gilliland; Theresa Zhang; Brandon E Kremer; Birgit Knoechel; Bradley E Bernstein; Warren S Pear; X Shirley Liu; Jon C Aster; Sriram Sathyanarayanan
Journal:  Cancer Discov       Date:  2014-08-07       Impact factor: 39.397

Review 4.  Histological, molecular and functional subtypes of breast cancers.

Authors:  Gautam K Malhotra; Xiangshan Zhao; Hamid Band; Vimla Band
Journal:  Cancer Biol Ther       Date:  2010-11-15       Impact factor: 4.742

5.  AP-1 blockade inhibits the growth of normal and malignant breast cells.

Authors:  J H Ludes-Meyers; Y Liu; D Muñoz-Medellin; S G Hilsenbeck; P H Brown
Journal:  Oncogene       Date:  2001-05-17       Impact factor: 9.867

6.  Transcriptional consequences of genomic structural aberrations in breast cancer.

Authors:  Koichiro Inaki; Axel M Hillmer; Leena Ukil; Fei Yao; Xing Yi Woo; Leah A Vardy; Kelson Folkvard Braaten Zawack; Charlie Wah Heng Lee; Pramila Nuwantha Ariyaratne; Yang Sun Chan; Kartiki Vasant Desai; Jonas Bergh; Per Hall; Thomas Choudary Putti; Wai Loon Ong; Atif Shahab; Valere Cacheux-Rataboul; Radha Krishna Murthy Karuturi; Wing-Kin Sung; Xiaoan Ruan; Guillaume Bourque; Yijun Ruan; Edison T Liu
Journal:  Genome Res       Date:  2011-04-05       Impact factor: 9.043

7.  A cellular oncogene is translocated to the Philadelphia chromosome in chronic myelocytic leukaemia.

Authors:  A de Klein; A G van Kessel; G Grosveld; C R Bartram; A Hagemeijer; D Bootsma; N K Spurr; N Heisterkamp; J Groffen; J R Stephenson
Journal:  Nature       Date:  1982-12-23       Impact factor: 49.962

8.  JAFFA: High sensitivity transcriptome-focused fusion gene detection.

Authors:  Nadia M Davidson; Ian J Majewski; Alicia Oshlack
Journal:  Genome Med       Date:  2015-05-11       Impact factor: 11.117

Review 9.  Landscape of gene fusions in epithelial cancers: seq and ye shall find.

Authors:  Chandan Kumar-Sinha; Shanker Kalyana-Sundaram; Arul M Chinnaiyan
Journal:  Genome Med       Date:  2015-12-18       Impact factor: 11.117

10.  EML4-ALK fusion transcript is not found in gastrointestinal and breast cancers.

Authors:  Y Fukuyoshi; H Inoue; Y Kita; T Utsunomiya; T Ishida; M Mori
Journal:  Br J Cancer       Date:  2008-04-15       Impact factor: 7.640

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  14 in total

Review 1.  Emerging Gene Fusion Drivers in Primary and Metastatic Central Nervous System Malignancies: A Review of Available Evidence for Systemic Targeted Therapies.

Authors:  Priscilla K Brastianos; Franziska Maria Ippen; Umbreen Hafeez; Hui K Gan
Journal:  Oncologist       Date:  2018-04-27

Review 2.  Estrogen Receptor Bio-Activities Determine Clinical Endocrine Treatment Options in Estrogen Receptor-Positive Breast Cancer.

Authors:  Song Xia; Qiong Lin
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

Review 3.  The impact of fusion genes on cancer stem cells and drug resistance.

Authors:  Saurav Panicker; Sivaramakrishnan Venkatabalasubramanian; Surajit Pathak; Satish Ramalingam
Journal:  Mol Cell Biochem       Date:  2021-06-07       Impact factor: 3.396

4.  Gene aberration profile of tumors of adolescent and young adult females.

Authors:  Yasuyuki Kanke; Akihiko Shimomura; Motonobu Saito; Takayuki Honda; Kouya Shiraishi; Yoko Shimada; Reiko Watanabe; Hiroshi Yoshida; Masayuki Yoshida; Chikako Shimizu; Kazuaki Takahashi; Hirohiko Totsuka; Hideaki Ogiwara; Sou Hirose; Koji Kono; Kenji Tamura; Aikou Okamoto; Takayuki Kinoshita; Tomoyasu Kato; Takashi Kohno
Journal:  Oncotarget       Date:  2017-12-29

5.  Hybrid capture-based genomic profiling of circulating tumor DNA from patients with estrogen receptor-positive metastatic breast cancer.

Authors:  J H Chung; D Pavlick; R Hartmaier; A B Schrock; L Young; B Forcier; P Ye; M K Levin; M Goldberg; H Burris; L M Gay; A D Hoffman; P J Stephens; G M Frampton; D M Lipson; D M Nguyen; S Ganesan; B H Park; L T Vahdat; B Leyland-Jones; T I Mughal; L Pusztai; J O'Shaughnessy; V A Miller; J S Ross; S M Ali
Journal:  Ann Oncol       Date:  2017-11-01       Impact factor: 32.976

6.  Association of PIN3 16-bp duplication polymorphism of TP53 with breast cancer risk in Mali and a meta-analysis.

Authors:  Brehima Diakite; Yaya Kassogue; Guimogo Dolo; Oumar Kassogue; Mamadou Lassine Keita; Brian Joyce; Erin Neuschler; Jun Wang; Jonah Musa; Cheick Bougari Traore; Bakarou Kamate; Etienne Dembele; Sellama Nadifi; Mercy Isichei; Jane L Holl; Robert Murphy; Seydou Doumbia; Lifang Hou; Mamoudou Maiga
Journal:  BMC Med Genet       Date:  2020-07-03       Impact factor: 2.103

Review 7.  Gene Fusion in Malignant Glioma: An Emerging Target for Next-Generation Personalized Treatment.

Authors:  Tao Xu; Hongxiang Wang; Xiaoquan Huang; Weiqing Li; Qilin Huang; Yong Yan; Juxiang Chen
Journal:  Transl Oncol       Date:  2018-03-20       Impact factor: 4.243

8.  De novo assembly and characterization of breast cancer transcriptomes identifies large numbers of novel fusion-gene transcripts of potential functional significance.

Authors:  Vinay K Mittal; John F McDonald
Journal:  BMC Med Genomics       Date:  2017-08-29       Impact factor: 3.063

Review 9.  Applications of RNA Indexes for Precision Oncology in Breast Cancer.

Authors:  Liming Ma; Zirui Liang; Hui Zhou; Lianghu Qu
Journal:  Genomics Proteomics Bioinformatics       Date:  2018-05-09       Impact factor: 7.691

10.  Characterizing the Relapse Potential in Different Luminal Subtypes of Breast Cancers with Functional Proteomics.

Authors:  Tung-Yi Lin; Pei-Wen Wang; Chun-Hsun Huang; Pei-Ming Yang; Tai-Long Pan
Journal:  Int J Mol Sci       Date:  2020-08-24       Impact factor: 5.923

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