Literature DB >> 26227178

Recurrent fusion transcripts detected by whole-transcriptome sequencing of 120 primary breast cancer samples.

Jisun Kim1, Sehwan Kim2, Seyoon Ko3, Yong-ho In4, Hyeong-Gon Moon5,6, Soo Kyung Ahn5, Min Kyoon Kim5, Minju Lee6, Jin-Ha Hwang7, Young Seok Ju2,8, Jong-Il Kim7,8,9, Dong-Young Noh5,6, Sun Kim3, Jung-Hoon Park2, Hwanseok Rhee2, Sunghoon Kim4,10, Wonshik Han5,6.   

Abstract

Relatively few recurrent gene fusion events have been associated with breast cancer to date. In an effort to uncover novel fusion transcripts, we performed whole-transcriptome sequencing of 120 fresh-frozen primary breast cancer samples and five adjacent normal breast tissues using the Illumina HiSeq2000 platform. Three different fusion-detecting tools (deFuse, Chimerascan, and TopHatFusion) were used, and the results were compared. These tools detected 3,831, 6,630 and 516 fusion transcripts (FTs) overall. We primarily focused on the results obtained using the deFuse software. More FTs were identified from HER2 subtype breast cancer samples than from the luminal or triple-negative subtypes (P < 0.05). Seventy fusion candidates were selected for validation, and 32 (45.7%) were confirmed by RT-PCR and Sanger sequencing. Of the validated fusions, six were recurrent (found in 2 or more samples), three were in-frame (PRDX1-AKR1A1, TACSTD2-OMA1, and C2CD2-TFF1) and three were off-frame (CEACAM7-CEACAM6, CYP4X1-CYP4Z2P, and EEF1DP3-FRY). Notably, the novel read-through fusion, EEF1DP3-FRY, was identified and validated in 6.7% (8/120) of the breast cancer samples. This off-frame fusion results in early truncation of the FRY gene, which plays a key role in the structural integrity during mitosis. Three previously reported fusions, PPP1R1B-STARD3, MFGE8-HAPL, and ETV6-NTRK3, were detected in 8.3, 3.3, and 0.8% of the 120 samples, respectively, by both deFuse and Chimerascan. The recently reported MAGI3-AKT3 fusion was not detected in our analysis. Although future work will be needed to examine the biological significance of our new findings, we identified a number of novel fusions and confirmed some previously reported fusions.
© 2015 Wiley Periodicals, Inc.

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Year:  2015        PMID: 26227178     DOI: 10.1002/gcc.22279

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


  16 in total

1.  RNA-Seq for the detection of gene fusions in solid tumors: development and validation of the JAX FusionSeq™ 2.0 assay.

Authors:  Daniel Bergeron; Harshpreet Chandok; Qian Nie; Matthew Prego; Melissa Soucy; Kevin Kelly; Guruprasad Ananda; Andrew Hesse; Honey V Reddi
Journal:  J Mol Med (Berl)       Date:  2022-01-10       Impact factor: 4.599

Review 2.  Discovering and understanding oncogenic gene fusions through data intensive computational approaches.

Authors:  Natasha S Latysheva; M Madan Babu
Journal:  Nucleic Acids Res       Date:  2016-04-21       Impact factor: 16.971

Review 3.  Recurrent and pathological gene fusions in breast cancer: current advances in genomic discovery and clinical implications.

Authors:  Jamunarani Veeraraghavan; Jiacheng Ma; Yiheng Hu; Xiao-Song Wang
Journal:  Breast Cancer Res Treat       Date:  2016-07-02       Impact factor: 4.872

4.  Germinal GLT8D1, GATAD2A and SLC25A39 mutations in a patient with a glomangiopericytal tumor and five different sarcomas over a 10-year period.

Authors:  Arnaud Beddok; Gaëlle Pérot; Sophie Le Guellec; Noémie Thebault; Alexandre Coutte; Henri Sevestre; Bruno Chauffert; Frédéric Chibon
Journal:  Sci Rep       Date:  2021-05-07       Impact factor: 4.379

5.  Genome-wide colocalization of RNA-DNA interactions and fusion RNA pairs.

Authors:  Zhangming Yan; Norman Huang; Weixin Wu; Weizhong Chen; Yiqun Jiang; Jingyao Chen; Xuerui Huang; Xingzhao Wen; Jie Xu; Qiushi Jin; Kang Zhang; Zhen Chen; Shu Chien; Sheng Zhong
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-04       Impact factor: 11.205

Review 6.  Tropomyosin receptor kinase (TRK) biology and the role of NTRK gene fusions in cancer.

Authors:  A Amatu; A Sartore-Bianchi; K Bencardino; E G Pizzutilo; F Tosi; S Siena
Journal:  Ann Oncol       Date:  2019-11-01       Impact factor: 51.769

7.  The Clinical Significance and Molecular Features of the Spatial Tumor Shapes in Breast Cancers.

Authors:  Hyeong-Gon Moon; Namshin Kim; Seongmun Jeong; Minju Lee; HyunHye Moon; Jongjin Kim; Tae-Kyung Yoo; Han-Byoel Lee; Jisun Kim; Dong-Young Noh; Wonshik Han
Journal:  PLoS One       Date:  2015-12-15       Impact factor: 3.240

Review 8.  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

9.  Identification of recurrent fusion genes across multiple cancer types.

Authors:  Yan-Ping Yu; Peng Liu; Joel Nelson; Ronald L Hamilton; Rohit Bhargava; George Michalopoulos; Qi Chen; Jun Zhang; Deqin Ma; Arjun Pennathur; James Luketich; Michael Nalesnik; George Tseng; Jian-Hua Luo
Journal:  Sci Rep       Date:  2019-01-31       Impact factor: 4.379

10.  Transcriptome Analysis Reveals MFGE8-HAPLN3 Fusion as a Novel Biomarker in Triple-Negative Breast Cancer.

Authors:  Meng-Yuan Wang; Man Huang; Chao-Yi Wang; Xiao-Ying Tang; Jian-Gen Wang; Yong-De Yang; Xin Xiong; Chao-Wei Gao
Journal:  Front Oncol       Date:  2021-06-15       Impact factor: 6.244

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