Literature DB >> 29436103

Genomic hotspots but few recurrent fusion genes in breast cancer.

Danai Fimereli1, Debora Fumagalli2, David Brown2, David Gacquer1, Françoise Rothé2, Roberto Salgado2, Denis Larsimont3, Christos Sotiriou2, Vincent Detours1,4.   

Abstract

The advent of next generation sequencing technologies has boosted the interest in exploring the role of fusion genes in the development and progression of solid tumors. In breast cancer, most of the detected gene fusions seem to be "passenger" events while the presence of recurrent and driver fusions is still under study. We performed RNA sequencing in 55 well-characterized breast cancer samples and 10 adjacent normal breast tissues, complemented by an analysis of SNP array data. We explored the presence of fusion genes and defined their association with breast cancer subtypes, clinical-pathologic characteristics and copy number aberrations. Overall, 370 fusions were detected across the majority of the samples. HER2+ samples had significantly more fusions than triple negative and luminal subtypes. The number of fusions was correlated with histological grade, Ki67 and tumor size. Clusters of fusion genes were observed across the genome and a significant correlation of fusions with copy number aberrations and more specifically amplifications was also revealed. Despite the large number of fusion events, only a few were recurrent, while recurrent individual genes forming fusions with different partners were also detected including the estrogen receptor 1 gene in the previously detected ESR1-CCDC170 fusion. Overall we detected novel gene fusion events while we confirmed previously reported fusions. Genomic hotspots of fusion genes, differences between subtypes and small number of recurrent fusions are the most relevant characteristics of these events in breast cancer. Further investigation is necessary to comprehend the biological significance of these fusions.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  RNA-seq; breast cancer; gene-fusion; next-generation sequencing

Mesh:

Substances:

Year:  2018        PMID: 29436103     DOI: 10.1002/gcc.22533

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  9 in total

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Journal:  Genes Chromosomes Cancer       Date:  2022-02-17       Impact factor: 5.006

4.  Elucidation of Novel Therapeutic Targets for Breast Cancer with ESR1-CCDC170 Fusion.

Authors:  Jae Heon Jeong; Jae Won Yun; Ha Young Kim; Chan Yeong Heo; Sejoon Lee
Journal:  J Clin Med       Date:  2021-02-04       Impact factor: 4.241

Review 5.  Multi-Gene Testing Overview with a Clinical Perspective in Metastatic Triple-Negative Breast Cancer.

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6.  Mutation Profiling of Premalignant Colorectal Neoplasia.

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Journal:  Gastroenterol Res Pract       Date:  2019-11-12       Impact factor: 2.260

7.  Transcriptome analysis reveals overlap in fusion genes in a phase I clinical cohort of TNBC and HGSOC patients treated with buparlisib and olaparib.

Authors:  Julia Eismann; Yujing J Heng; Johannes M Waldschmidt; Ioannis S Vlachos; Kathryn P Gray; Ursula A Matulonis; Panagiotis A Konstantinopoulos; Charles J Murphy; Sheida Nabavi; Gerburg M Wulf
Journal:  J Cancer Res Clin Oncol       Date:  2019-11-19       Impact factor: 4.553

8.  Therapeutic role of recurrent ESR1-CCDC170 gene fusions in breast cancer endocrine resistance.

Authors:  Li Li; Ling Lin; Jamunarani Veeraraghavan; Yiheng Hu; Xian Wang; Sanghoon Lee; Ying Tan; Rachel Schiff; Xiao-Song Wang
Journal:  Breast Cancer Res       Date:  2020-08-08       Impact factor: 6.466

9.  A Novel Neoplastic Fusion Transcript, RAD51AP1-DYRK4, Confers Sensitivity to the MEK Inhibitor Trametinib in Aggressive Breast Cancers.

Authors:  Chia-Chia Liu; Jamunarani Veeraraghavan; Ying Tan; Jin-Ah Kim; Xian Wang; Suet Kee Loo; Sanghoon Lee; Yiheng Hu; Xiao-Song Wang
Journal:  Clin Cancer Res       Date:  2020-11-10       Impact factor: 13.801

  9 in total

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