Literature DB >> 28710771

Detailed longitudinal sampling of glioma stem cells in situ reveals Chr7 gain and Chr10 loss as repeated events in primary tumor formation and recurrence.

Mehmet Baysan1, Kevin Woolard2, Margaret C Cam3, Wei Zhang4, Hua Song4, Svetlana Kotliarova5, Demosthenes Balamatsias6, Amanda Linkous6, Susie Ahn4, Jennifer Walling7, Galina I Belova8, Howard A Fine6.   

Abstract

Intratumoral heterogeneity at the genetic, epigenetic, transcriptomic, and morphologic levels is a commonly observed phenomenon in many aggressive cancer types. Clonal evolution during tumor formation and in response to therapeutic intervention can be predicted utilizing reverse engineering approaches on detailed genomic snapshots of heterogeneous patient tumor samples. In this study, we developed an extensive dataset for a GBM case via the generation of polyclonal and monoclonal glioma stem cell lines from initial diagnosis, and from multiple sections of distant tumor locations of the deceased patient's brain following tumor recurrence. Our analyses revealed the tissue-wide expansion of a new clone in the recurrent tumor and chromosome 7 gain and chromosome 10 loss as repeated genomic events in primary and recurrent disease. Moreover, chromosome 7 gain and chromosome 10 loss produced similar alterations in mRNA expression profiles in primary and recurrent tumors despite possessing other highly heterogeneous and divergent genomic alterations between the tumors. We identified ETV1 and CDK6 as putative candidate genes, and NFKB (complex), IL1B, IL6, Akt and VEGF as potential signaling regulators, as potentially central downstream effectors of chr7 gain and chr10 loss. Finally, the differences caused by the transcriptomic shift following gain of chromosome 7 and loss of chromosome 10 were consistent with those generally seen in GBM samples compared to normal brain in large-scale patient-tumor data sets.
© 2017 UICC.

Entities:  

Keywords:  clonal development; glioblastoma; glioma stem cells; intratumor heterogeneity

Mesh:

Substances:

Year:  2017        PMID: 28710771     DOI: 10.1002/ijc.30887

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  14 in total

Review 1.  Metabolic heterogeneity and adaptability in brain tumors.

Authors:  Christian E Badr; Daniel J Silver; Florian A Siebzehnrubl; Loic P Deleyrolle
Journal:  Cell Mol Life Sci       Date:  2020-06-06       Impact factor: 9.261

2.  RNA processing genes characterize RNA splicing and further stratify lower-grade glioma.

Authors:  Rui-Chao Chai; Yi-Ming Li; Ke-Nan Zhang; Yu-Zhou Chang; Yu-Qing Liu; Zheng Zhao; Zhi-Liang Wang; Yuan-Hao Chang; Guan-Zhang Li; Kuan-Yu Wang; Fan Wu; Yong-Zhi Wang
Journal:  JCI Insight       Date:  2019-08-13

Review 3.  Intratumor heterogeneity, microenvironment, and mechanisms of drug resistance in glioma recurrence and evolution.

Authors:  Zhaoshi Bao; Yongzhi Wang; Qiangwei Wang; Shengyu Fang; Xia Shan; Jiguang Wang; Tao Jiang
Journal:  Front Med       Date:  2021-04-24       Impact factor: 4.592

4.  ADAMDEC1 Maintains a Growth Factor Signaling Loop in Cancer Stem Cells.

Authors:  Ana Jimenez-Pascual; James S Hale; Anja Kordowski; Jamie Pugh; Daniel J Silver; Defne Bayik; Gustavo Roversi; Tyler J Alban; Shilpa Rao; Rui Chen; Thomas M McIntyre; Giorgio Colombo; Giulia Taraboletti; Karl O Holmberg; Karin Forsberg-Nilsson; Justin D Lathia; Florian A Siebzehnrubl
Journal:  Cancer Discov       Date:  2019-08-21       Impact factor: 39.397

5.  Systematically profiling the expression of eIF3 subunits in glioma reveals the expression of eIF3i has prognostic value in IDH-mutant lower grade glioma.

Authors:  Rui-Chao Chai; Ning Wang; Yu-Zhou Chang; Ke-Nan Zhang; Jing-Jun Li; Jun-Jie Niu; Fan Wu; Yu-Qing Liu; Yong-Zhi Wang
Journal:  Cancer Cell Int       Date:  2019-06-04       Impact factor: 5.722

6.  Identification of radiation responsive genes and transcriptome profiling via complete RNA sequencing in a stable radioresistant U87 glioblastoma model.

Authors:  Ninh B Doan; Ha S Nguyen; Hisham S Alhajala; Basem Jaber; Mona M Al-Gizawiy; Eun-Young Erin Ahn; Wade M Mueller; Christopher R Chitambar; Shama P Mirza; Kathleen M Schmainda
Journal:  Oncotarget       Date:  2018-05-04

7.  Silencing of the nucleocytoplasmic shuttling protein karyopherin a2 promotes cell-cycle arrest and apoptosis in glioblastoma multiforme.

Authors:  Ramon Martinez-Olivera; Angeliki Datsi; Maren Stallkamp; Manfred Köller; Isabelle Kohtz; Bogdan Pintea; Konstantinos Gousias
Journal:  Oncotarget       Date:  2018-09-11

8.  CIC protein instability contributes to tumorigenesis in glioblastoma.

Authors:  Severa Bunda; Pardeep Heir; Julie Metcalf; Annie Si Cong Li; Sameer Agnihotri; Stefan Pusch; Mamatjan Yasin; Mira Li; Kelly Burrell; Sheila Mansouri; Olivia Singh; Mark Wilson; Amir Alamsahebpour; Romina Nejad; Bethany Choi; David Kim; Andreas von Deimling; Gelareh Zadeh; Kenneth Aldape
Journal:  Nat Commun       Date:  2019-02-08       Impact factor: 14.919

Review 9.  Molecular Markers of Therapy-Resistant Glioblastoma and Potential Strategy to Combat Resistance.

Authors:  Ha S Nguyen; Saman Shabani; Ahmed J Awad; Mayank Kaushal; Ninh Doan
Journal:  Int J Mol Sci       Date:  2018-06-14       Impact factor: 5.923

10.  Transcriptional Characteristics of IDH-Wild Type Glioma Subgroups Highlight the Biological Processes Underlying Heterogeneity of IDH-Wild Type WHO Grade IV Gliomas.

Authors:  Yu-Zhou Chang; Guan-Zhang Li; Bo Pang; Ke-Nan Zhang; Xiao-Hui Zhang; Yong-Zhi Wang; Zhong-Li Jiang; Rui-Chao Chai
Journal:  Front Cell Dev Biol       Date:  2020-10-22
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