Literature DB >> 29357299

Fusion genes: A promising tool combating against cancer.

Xiaofeng Dai1, Rutaganda Theobard2, Hongye Cheng2, Mengtao Xing3, Jianying Zhang4.   

Abstract

The driving roles of fusion genes during tumorigenesis have been recognized for decades, with efficacies demonstrated in clinical diagnosis and targeted therapy. With advances in sequencing technologies and computational biology, a surge in the identification of fusion genes has been witnessed during the past decade. The discovery and presence of splicing based fusions in normal tissues have challenged our canonical conceptions on fusion genes and offered us novel medical opportunities. The specificity of fusion genes to neoplastic tissues and their diverse functionalities during carcinogenesis foster them as promising tools in the battle against cancer. It is time to re-visit and comb through our cutting-edge knowledge on fusion genes to accelerate clinical translation of these internal markers. Urged as such, we are encouraged to categorize fusion events according to mechanisms leading to their generation, oncological consequences and clinical implications, offer insights on fusion occurrence across tumors from the system level, highlight feasible practices in fusion-related pharmaceutical development, and identify understudied yet important niches that may lead future research trend in this field.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer; Chromosome rearrangement; Diagnosis; Fusion; Non-structural rearrangement; Targeted medicine

Mesh:

Substances:

Year:  2018        PMID: 29357299     DOI: 10.1016/j.bbcan.2017.12.003

Source DB:  PubMed          Journal:  Biochim Biophys Acta Rev Cancer        ISSN: 0304-419X            Impact factor:   10.680


  15 in total

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2.  Report of Canonical BCR-ABL1 Fusion in Glioblastoma.

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Review 3.  Fixing the GAP: The role of RhoGAPs in cancer.

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5.  Detection of aberrant gene expression events in RNA sequencing data.

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Review 6.  Identification of neoantigens for individualized therapeutic cancer vaccines.

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7.  Key considerations for comprehensive validation of an RNA fusion NGS panel.

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Journal:  Pract Lab Med       Date:  2020-06-08

8.  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 9.  How Machine Learning and Statistical Models Advance Molecular Diagnostics of Rare Disorders Via Analysis of RNA Sequencing Data.

Authors:  Lea D Schlieben; Holger Prokisch; Vicente A Yépez
Journal:  Front Mol Biosci       Date:  2021-06-01

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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