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Integrative omics analysis reveals relationships of genes with synthetic lethal interactions through a pan-cancer analysis.

作者信息

Guo Li, Li Sunjing, Qian Bowen, Wang Youquan, Duan Rui, Jiang Wenwen, Kang Yihao, Dou Yuyang, Yang Guowei, Shen Lulu, Wang Jun, Liang Tingming

机构信息

Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, Nanjing Normal University, Nanjing 210023, China.

出版信息

Comput Struct Biotechnol J. 2020 Oct 21;18:3243-3254. doi: 10.1016/j.csbj.2020.10.015. eCollection 2020.


DOI:10.1016/j.csbj.2020.10.015
PMID:33240468
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7658657/
Abstract

Synthetic lethality is thought to play an important role in anticancer therapies. Herein, to understand the potential distributions and relationships between synthetic lethal interactions between genes, especially for pairs deriving from different sources, we performed an integrative analysis of genes at multiple molecular levels. Based on inter-species phylogenetic conservation of synthetic lethal interactions, gene pairs from yeast and humans were analyzed; a total of 37,588 candidate gene pairs containing 7,816 genes were collected. Of these, 49.74% of genes had 2-10 interactions, 22.93% were involved in hallmarks of cancer, and 21.61% were identified as core essential genes. Many genes were shown to have important biological roles via functional enrichment analysis, and 65 were identified as potentially crucial in the pathophysiology of cancer. Gene pairs with dysregulated expression patterns had higher prognostic values. Further screening based on mutation and expression levels showed that remaining gene pairs were mainly derived from human predicted or validated pairs, while most predicted pairs from yeast were filtered from analysis. Genes with synthetic lethality were further analyzed with their interactive microRNAs (miRNAs) at the isomiR level which have been widely studied as negatively regulatory molecules. The miRNA-mRNA interaction network revealed that many synthetic lethal genes contributed to the cell cycle (seven of 12 genes), cancer pathways (five of 12 genes), oocyte meiosis, the p53 signaling pathway, and hallmarks of cancer. Our study contributes to the understanding of synthetic lethal interactions and promotes the application of genetic interactions in further cancer precision medicine.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/24835064f110/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/0f86e2a15d72/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/3d3021a15e65/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/6483f5b25549/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/e402435b68e9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/5736051a6c82/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/2143efd3875f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/24835064f110/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/0f86e2a15d72/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/3d3021a15e65/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/6483f5b25549/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/e402435b68e9/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/5736051a6c82/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/2143efd3875f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605a/7658657/24835064f110/gr6.jpg

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引用本文的文献

[1]
Predicting host-based, synthetic lethal antiviral targets from omics data.

NAR Mol Med. 2024-1-23

[2]
Predicting host-based, synthetic lethal antiviral targets from omics data.

bioRxiv. 2023-8-16

[3]
Omics Overview of the SPARC Gene in Mesothelioma.

Biomolecules. 2023-7-11

[4]
The Role of Biomarkers in Adrenocortical Carcinoma: A Review of Current Evidence and Future Perspectives.

Biomedicines. 2021-2-10

本文引用的文献

[1]
Synthetic lethality: a step forward for personalized medicine in cancer.

Drug Discov Today. 2020-2

[2]
Synthetic lethality as an engine for cancer drug target discovery.

Nat Rev Drug Discov. 2019-11-11

[3]
Targeting the untargetable KRAS in cancer therapy.

Acta Pharm Sin B. 2019-9

[4]
EGFR-mediated autophagy in tumourigenesis and therapeutic resistance.

Cancer Lett. 2019-10-19

[5]
From basic researches to new achievements in therapeutic strategies of KRAS-driven cancers.

Cancer Biol Med. 2019-8

[6]
Oncogenic KRAS Sensitizes Lung Adenocarcinoma to GSK-J4-Induced Metabolic and Oxidative Stress.

Cancer Res. 2019-9-10

[7]
The Application of the RNA Interference Technologies for KRAS: Current Status, Future Perspective and Associated Challenges.

Curr Top Med Chem. 2019

[8]
Humanized yeast genetic interaction mapping predicts synthetic lethal interactions of FBXW7 in breast cancer.

BMC Med Genomics. 2019-7-27

[9]
and Polymorphisms Are Associated with Increased Risk of Prostate Cancer.

J Oncol. 2019-5-2

[10]
Oncogenic KRAS Drives Immune Suppression in Colorectal Cancer.

Cancer Cell. 2019-4-15

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