Literature DB >> 23219752

Three-dimensional mRNA measurements reveal minimal regional heterogeneity in esophageal squamous cell carcinoma.

Wusheng Yan1, Joanna Shih, Jaime Rodriguez-Canales, Michael A Tangrea, Audrey Player, Lixia Diao, Nan Hu, Alisa M Goldstein, Jing Wang, Philip R Taylor, Scott M Lippman, Ignacio I Wistuba, Michael R Emmert-Buck, Heidi S Erickson.   

Abstract

The classic tumor clonal evolution theory postulates that cancers change over time to produce unique molecular subclones within a parent neoplasm, presumably including regional differences in gene expression. More recently, however, this notion has been challenged by studies showing that tumors maintain a relatively stable transcript profile. To examine these competing hypotheses, we microdissected discrete subregions containing approximately 3000 to 8000 cells (500 to 1500 μm in diameter) from ex vivo esophageal squamous cell carcinoma (ESCC) specimens and analyzed transcriptomes throughout three-dimensional tumor space. Overall mRNA profiles were highly similar in all 59 intratumor comparisons, in distinct contrast to the markedly different global expression patterns observed in other dissected cell populations. For example, normal esophageal basal cells contained 1918 and 624 differentially expressed genes at a greater than twofold level (95% confidence level of <5% false positives), compared with normal differentiated esophageal cells and ESCC, respectively. In contrast, intratumor regions had only zero to four gene changes at a greater than twofold level, with most tumor comparisons showing none. The present data indicate that, when analyzed using a standard array-based method at this level of histological resolution, ESCC contains little regional mRNA heterogeneity.
Copyright © 2013 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23219752      PMCID: PMC3562732          DOI: 10.1016/j.ajpath.2012.10.028

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  53 in total

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Authors:  K M Jochumsen; Q Tan; B Hølund; T A Kruse; O Mogensen
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Review 3.  Tissue microdissection.

Authors:  Heidi S Erickson; John W Gillespie; Michael R Emmert-Buck
Journal:  Methods Mol Biol       Date:  2008

4.  Thrombospondin-2: a potent endogenous inhibitor of tumor growth and angiogenesis.

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5.  Allelotyping of esophageal squamous-cell carcinoma on chromosome 13 defines deletions related to family history.

Authors:  Nan Hu; Hua Su; Wen Jun Li; Carol Giffen; Alisa M Goldstein; Ying Hu; Chaoyu Wang; Mark J Roth; Guang Li; Sanford M Dawsey; Yi Xu; Philip R Taylor; Michael R Emmert-Buck
Journal:  Genes Chromosomes Cancer       Date:  2005-11       Impact factor: 5.006

Review 6.  Tumor heterogeneity: causes and consequences.

Authors:  Andriy Marusyk; Kornelia Polyak
Journal:  Biochim Biophys Acta       Date:  2009-11-18

7.  A novel approach for reliable microarray analysis of microdissected tumor cells from formalin-fixed and paraffin-embedded colorectal cancer resection specimens.

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8.  Global expression analysis of prostate cancer-associated stroma and epithelia.

Authors:  Annely M Richardson; Karen Woodson; Yonghong Wang; Jaime Rodriguez-Canales; Heidi S Erickson; Michael A Tangrea; Kristian Novakovic; Sergio Gonzalez; Alfredo Velasco; Ernest S Kawasaki; Michael R Emmert-Buck; Rodrigo F Chuaqui; Audrey Player
Journal:  Diagn Mol Pathol       Date:  2007-12

9.  Characterization of a novel mechanism of genomic instability involving the SEI1/SET/NM23H1 pathway in esophageal cancers.

Authors:  Yan Li; Chang-Jun Nie; Liang Hu; Yanru Qin; Hai-Bo Liu; Ting-Ting Zeng; Leilei Chen; Li Fu; Wen Deng; Shu-Peng Chen; Wei-Hua Jia; Chunyu Zhang; Dan Xie; Xin-Yuan Guan
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10.  Optimization and evaluation of T7 based RNA linear amplification protocols for cDNA microarray analysis.

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  3 in total

1.  LAMP2 as a Biomarker Related to Prognosis and Immune Infiltration in Esophageal Cancer and Other Cancers: A Comprehensive Pan-Cancer Analysis.

Authors:  Shan-Peng Liu; Xiao-Min Li; Dan-Man Liu; Shu-Huan Xie; Shao-Bo Zhang; Yu Li; Ze-Feng Xie
Journal:  Front Oncol       Date:  2022-04-21       Impact factor: 5.738

Review 2.  Deciphering intratumor heterogeneity using cancer genome analysis.

Authors:  Daeun Ryu; Je-Gun Joung; Nayoung K D Kim; Kyu-Tae Kim; Woong-Yang Park
Journal:  Hum Genet       Date:  2016-04-28       Impact factor: 4.132

3.  Genomic Characterization and Comparison of Multi-Regional and Pooled Tumor Biopsy Specimens.

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Journal:  PLoS One       Date:  2016-03-24       Impact factor: 3.240

  3 in total

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