Literature DB >> 25220188

Senescence-associated-gene signature identifies genes linked to age, prognosis, and progression of human gliomas.

Domenico Coppola1, Lodovico Balducci2, Dung-Tsa Chen3, Andrey Loboda4, Michael Nebozhyn5, Aileen Staller6, William J Fulp3, William Dalton7, Timothy Yeatman8, Steven Brem9.   

Abstract

BACKGROUND: Senescence-associated genes (SAGs) are responsible for the senescence-associated secretory phenotype, linked in turn to cellular aging, the aging brain, and the pathogenesis of cancer.
OBJECTIVE: We hypothesized that senescence-associated genes are overexpressed in older patients, in higher grades of glioma, and portend a poor prognosis.
METHODS: Forty-seven gliomas were arrayed on a custom version of the Affymetrix HG-U133+2.0 GeneChip, for expression of fourteen senescence-associated genes: CCL2, CCL7, CDKN1A, COPG, CSF2RB, CXCL1, ICAM-1, IGFBP-3, IL-6, IL-8, SAA4, TNFRSF-11B, TNFSF-11 and TP53. A combined "senescence score" was generated using principal component analysis to measure the combined effect of the senescence-associated gene signature.
RESULTS: An elevated senescence score correlated with older age (r=0.37; P=.01) as well as a higher degree of malignancy, as determined by WHO, histological grade (r=0.49; P<.001). There was a mild association with poor prognosis (P=.06). Gliosarcomas showed the highest scores. Six genes independently correlated with either age (IL-6, TNFRSF-11B, IGFBP-3, SAA4, and COPG), prognosis (IL-6, SAA4), or the grade of the glioma (IL-6, IL-8, ICAM-1, IGFBP-3, and COPG).
CONCLUSION: We report: 1) a novel molecular signature in human gliomas, based on cellular senescence, translating the concept of SAG to human cancer; 2) the senescence signature is composed of genes central to the pathogenesis of gliomas, defining a novel, aggressive subtype of glioma; and 3) these genes provide prognostic biomarkers, as well as targets, for drug discovery and immunotherapy.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Astrocytoma; Biomarker; Genomics; Glioblastoma; Interleukin-6; Senescence

Mesh:

Year:  2014        PMID: 25220188     DOI: 10.1016/j.jgo.2014.08.003

Source DB:  PubMed          Journal:  J Geriatr Oncol        ISSN: 1879-4068            Impact factor:   3.599


  10 in total

1.  Gastrin-Releasing Peptide Receptor Knockdown Induces Senescence in Glioblastoma Cells.

Authors:  Pâmela Rossi Menegotto; Patrícia Luciana da Costa Lopez; Bárbara Kunzler Souza; Caroline Brunetto de Farias; Eduardo Cremonese Filippi-Chiela; Igor Araújo Vieira; Gilberto Schwartsmann; Guido Lenz; Rafael Roesler
Journal:  Mol Neurobiol       Date:  2016-01-16       Impact factor: 5.590

2.  Factors associated with increased survival after surgical resection of glioblastoma in octogenarians.

Authors:  Kalil G Abdullah; Ashwin Ramayya; Jayesh P Thawani; Lukasz Macyszyn; Maria Martinez-Lage; Donald M O'Rourke; Steven Brem
Journal:  PLoS One       Date:  2015-05-15       Impact factor: 3.240

3.  Entry and exit of chemotherapeutically-promoted cellular dormancy in glioblastoma cells is differentially affected by the chemokines CXCL12, CXCL16, and CX3CL1.

Authors:  Vivian Adamski; Kirsten Hattermann; Carolin Kubelt; Gesa Cohrs; Ralph Lucius; Michael Synowitz; Susanne Sebens; Janka Held-Feindt
Journal:  Oncogene       Date:  2020-04-28       Impact factor: 9.867

4.  A Context-Dependent Role for MiR-124-3p on Cell Phenotype, Viability and Chemosensitivity in Neuroblastoma in vitro.

Authors:  John C Nolan; Manuela Salvucci; Steven Carberry; Ana Barat; Miguel F Segura; Justine Fenn; Jochen H M Prehn; Raymond L Stallings; Olga Piskareva
Journal:  Front Cell Dev Biol       Date:  2020-11-20

5.  Cell aging related genes can be used to characterize clinical prognoses and further stratify diffuse gliomas.

Authors:  Yang Yang; Xin Chen; Jianjun Sun; Suhua Chen; Chenlong Yang; Qianquan Ma; Jun Yang
Journal:  Sci Rep       Date:  2021-09-30       Impact factor: 4.379

6.  Establishment of three heterogeneous subtypes and a risk model of low-grade gliomas based on cell senescence-related genes.

Authors:  Jing Chen; Lingjiao Wu; Hanjin Yang; XiaoChen Zhang; SuZhen Xv; Qiong Qian
Journal:  Front Immunol       Date:  2022-08-16       Impact factor: 8.786

7.  Aging-related features predict prognosis and immunotherapy efficacy in hepatocellular carcinoma.

Authors:  Ting Hong; Wei Su; Yitong Pan; Chenxi Tian; Guang Lei
Journal:  Front Immunol       Date:  2022-09-15       Impact factor: 8.786

8.  Conserved genes and pathways in primary human fibroblast strains undergoing replicative and radiation induced senescence.

Authors:  Shiva Marthandan; Uwe Menzel; Steffen Priebe; Marco Groth; Reinhard Guthke; Matthias Platzer; Peter Hemmerich; Christoph Kaether; Stephan Diekmann
Journal:  Biol Res       Date:  2016-07-28       Impact factor: 5.612

9.  Reconstructing the molecular life history of gliomas.

Authors:  Floris P Barthel; Pieter Wesseling; Roel G W Verhaak
Journal:  Acta Neuropathol       Date:  2018-04-03       Impact factor: 17.088

10.  Is Visible Aminolevulinic Acid-Induced Fluorescence an Independent Biomarker for Prognosis in Histologically Confirmed (World Health Organization 2016) Low-Grade Gliomas?

Authors:  Mohammed Jaber; Christian Ewelt; Johannes Wölfer; Benjamin Brokinkel; Christian Thomas; Martin Hasselblatt; Oliver Grauer; Walter Stummer
Journal:  Neurosurgery       Date:  2019-06-01       Impact factor: 4.654

  10 in total

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