Literature DB >> 36225642

Comprehensive pan-cancer analysis identifies cellular senescence as a new therapeutic target for cancer: multi-omics analysis and single-cell sequencing validation.

Qiuhuan Zhang1, Yi Tang2, Guimei Hu3, Zhuoer Yuan3, Shengyue Zhang3, Yucao Sun3, Chencheng Dong1, Jiehua Zhao4, Guo Wu1, Xiaoliang Huang3, Jianrong Yang4, Yuntian Tang2.   

Abstract

Although cellular senescence has long been recognized as an anti-tumor mechanism, mounting evidence suggests that in some circumstances, senescent cells promote tumor growth and malignancy spread. Therefore, research into the exact relationship between cellular senescence and tumor immunity is ongoing. We analyzed changes in the expression, copy number variation, single-nucleotide variation, methylation, and drug sensitivity of cellular senescence-related genes in 33 tumor types. The cellular senescence score was calculated using the single-sample gene-set enrichment analysis. The correlations between cellular senescence score and prognosis, tumor immune microenvironment (TIME), and expression of tumor immune-related genes were comprehensively analyzed. Single-cell transcriptome sequencing data were used to assess the activation state of cellular senescence in the tumor microenvironment (TME). The expression of cellular senescence-associated hub genes varied significantly across cancer types. In these genes, missense mutation was the major type of single nucleotide polymorphism, and heterozygous deletion and heterozygous amplification were the major types of copy number variation. Moreover, the cellular senescence pathway in tumors was sensitive to drugs such as XMD13-2, TPCA-1, methotrexate, and KIN001-102. Furthermore, the cellular senescence score was significantly higher in most cancer types, related to poor prognosis. The expression of immune checkpoint molecules such as NRP1, CD276, and CD44 was significantly correlated with the cellular senescence score. Monocyte cellular senescence was significantly higher in the TME of kidney renal clear cell carcinoma cells than in normal tissues. The findings of this study provide insights into the important role of cellular senescence in the TIME of human cancers and the effect of immunotherapy. AJCR
Copyright © 2022.

Entities:  

Keywords:  Cellular senescence; single-cell transcriptome sequencing; tumor immunity; tumor microenvironment

Year:  2022        PMID: 36225642      PMCID: PMC9548012     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   5.942


  41 in total

1.  The human genome browser at UCSC.

Authors:  W James Kent; Charles W Sugnet; Terrence S Furey; Krishna M Roskin; Tom H Pringle; Alan M Zahler; David Haussler
Journal:  Genome Res       Date:  2002-06       Impact factor: 9.043

2.  CBX7 is a tumor suppressor in mice and humans.

Authors:  Floriana Forzati; Antonella Federico; Pierlorenzo Pallante; Adele Abbate; Francesco Esposito; Umberto Malapelle; Romina Sepe; Giuseppe Palma; Giancarlo Troncone; Marzia Scarfò; Claudio Arra; Monica Fedele; Alfredo Fusco
Journal:  J Clin Invest       Date:  2012-01-03       Impact factor: 14.808

3.  Comprehensive Genomic Characterization of RNA-Binding Proteins across Human Cancers.

Authors:  Ze-Lin Wang; Bin Li; Yu-Xia Luo; Qiao Lin; Shu-Rong Liu; Xiao-Qin Zhang; Hui Zhou; Jian-Hua Yang; Liang-Hu Qu
Journal:  Cell Rep       Date:  2018-01-02       Impact factor: 9.423

Review 4.  Hallmarks of Cellular Senescence.

Authors:  Alejandra Hernandez-Segura; Jamil Nehme; Marco Demaria
Journal:  Trends Cell Biol       Date:  2018-02-21       Impact factor: 20.808

5.  Oncogenic ras provokes premature cell senescence associated with accumulation of p53 and p16INK4a.

Authors:  M Serrano; A W Lin; M E McCurrach; D Beach; S W Lowe
Journal:  Cell       Date:  1997-03-07       Impact factor: 41.582

6.  limma powers differential expression analyses for RNA-sequencing and microarray studies.

Authors:  Matthew E Ritchie; Belinda Phipson; Di Wu; Yifang Hu; Charity W Law; Wei Shi; Gordon K Smyth
Journal:  Nucleic Acids Res       Date:  2015-01-20       Impact factor: 16.971

7.  Complement C1QC as a potential prognostic marker and therapeutic target in colon carcinoma based on single-cell RNA sequencing and immunohistochemical analysis.

Authors:  Huiming Deng; Yan Chen; Yong Liu; Li Liu; Ronghua Xu
Journal:  Bosn J Basic Med Sci       Date:  2022-10-23       Impact factor: 3.759

8.  Senescence-associated secretory phenotypes reveal cell-nonautonomous functions of oncogenic RAS and the p53 tumor suppressor.

Authors:  Jean-Philippe Coppé; Christopher K Patil; Francis Rodier; Yu Sun; Denise P Muñoz; Joshua Goldstein; Peter S Nelson; Pierre-Yves Desprez; Judith Campisi
Journal:  PLoS Biol       Date:  2008-12-02       Impact factor: 8.029

9.  GSEA-InContext: identifying novel and common patterns in expression experiments.

Authors:  Rani K Powers; Andrew Goodspeed; Harrison Pielke-Lombardo; Aik-Choon Tan; James C Costello
Journal:  Bioinformatics       Date:  2018-07-01       Impact factor: 6.937

Review 10.  Cellular senescence: a key therapeutic target in aging and diseases.

Authors:  Lei Zhang; Louise E Pitcher; Matthew J Yousefzadeh; Laura J Niedernhofer; Paul D Robbins; Yi Zhu
Journal:  J Clin Invest       Date:  2022-08-01       Impact factor: 19.456

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