Literature DB >> 27115013

Intratumor heterogeneity, variability and plasticity: questioning the current concepts in classification and treatment of hepatocellular carcinoma.

Ralf Weiskirchen1.   

Abstract

In the classical view, the formation of a primary tumor is the consequence of a mutational event that first affects a single cell that subsequently passes through a multitude of consecutive hyperplastic and dysplastic stages. At the end of this pathogenetic sequence a cell arises that is potentially able to expanse infinitely having capacity to form a homogenous tumor mass. In contrary to this clonal expansion concept, the majority of primary human tumors display already a startling heterogeneity that can be reflected in different morphological features, physiological activities, and genetic diversity. In the past it was speculated that this cancer cell plasticity within a tumor is the result of an adaptive process that is induced by specific inhibiting therapies. In regard to the formation of hepatocellular carcinoma (HCC) this dogma was once challenged in a recent study that analysed tumor areas that were taken from HCC patients without medical pretreatment. Most of the analyzed samples showed highly significant intratumor heterogeneity. This affected morphological attributes, immunohistochemical stainability of five tumor-associated markers [α-fetoprotein (AFP), EpCAM, CK7, CD44 and glutamine synthetase], and integrity of genes (β-catenin and p53) that are critically involved in the pathogenesis of HCC. Altogether, this study showed that intratumor heterogeneity is a frequent finding in HCC that may contribute to treatment failure and drug resistance in HCC patients.

Entities:  

Keywords:  Cancer stem cell model; clonal evolution model; hepatocellular carcinoma (HCC); stochastic model; subclone; tumor diversification

Year:  2016        PMID: 27115013      PMCID: PMC4824750          DOI: 10.3978/j.issn.2304-3881.2016.02.04

Source DB:  PubMed          Journal:  Hepatobiliary Surg Nutr        ISSN: 2304-3881            Impact factor:   7.293


  15 in total

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Review 2.  Evolution of the cancer stem cell model.

Authors:  Antonija Kreso; John E Dick
Journal:  Cell Stem Cell       Date:  2014-03-06       Impact factor: 24.633

Review 3.  TP53 mutations and hepatocellular carcinoma: insights into the etiology and pathogenesis of liver cancer.

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Journal:  Oncogene       Date:  2007-04-02       Impact factor: 9.867

4.  Combined Application of RGB Marking and Mass Spectrometric Imaging Facilitates Detection of Tumor Heterogeneity.

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Journal:  Cancer Genomics Proteomics       Date:  2015 Jul-Aug       Impact factor: 4.069

5.  Nuclear accumulation of mutated beta-catenin in hepatocellular carcinoma is associated with increased cell proliferation.

Authors:  J T Nhieu; C A Renard; Y Wei; D Cherqui; E S Zafrani; M A Buendia
Journal:  Am J Pathol       Date:  1999-09       Impact factor: 4.307

Review 6.  Heterogeneity of liver cancer and personalized therapy.

Authors:  Liang Li; Hongyang Wang
Journal:  Cancer Lett       Date:  2015-07-23       Impact factor: 8.679

7.  Heterogeneity in cancer: cancer stem cells versus clonal evolution.

Authors:  Mark Shackleton; Elsa Quintana; Eric R Fearon; Sean J Morrison
Journal:  Cell       Date:  2009-09-04       Impact factor: 41.582

8.  Intratumor heterogeneity in hepatocellular carcinoma.

Authors:  Juliane Friemel; Markus Rechsteiner; Lukas Frick; Friederike Böhm; Kirsten Struckmann; Michèle Egger; Holger Moch; Mathias Heikenwalder; Achim Weber
Journal:  Clin Cancer Res       Date:  2014-09-23       Impact factor: 12.531

Review 9.  Hepatocellular carcinoma: A comprehensive review.

Authors:  Lisa P Waller; Vrushak Deshpande; Nikolaos Pyrsopoulos
Journal:  World J Hepatol       Date:  2015-11-18

Review 10.  Tumour heterogeneity and cancer cell plasticity.

Authors:  Corbin E Meacham; Sean J Morrison
Journal:  Nature       Date:  2013-09-19       Impact factor: 49.962

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  8 in total

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2.  Prognostic Value and Potential Role of Alternative mRNA Splicing Events in Cervical Cancer.

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3.  Telomere length variation in tumor cells and cancer-associated fibroblasts: potential biomarker for hepatocellular carcinoma.

Authors:  Li-Jie Ma; Xiao-Ying Wang; Meng Duan; Long-Zi Liu; Jie-Yi Shi; Liang-Qing Dong; Liu-Xiao Yang; Zhi-Chao Wang; Zhen-Bin Ding; Ai-Wu Ke; Ya Cao; Xiao-Ming Zhang; Jian Zhou; Jia Fan; Qiang Gao
Journal:  J Pathol       Date:  2017-10-13       Impact factor: 7.996

Review 4.  Nonalcoholic steatohepatitis-related hepatocellular carcinoma: is there a role for the androgen receptor pathway?

Authors:  Mahmoud A Ali; Sahin Lacin; Reham Abdel-Wahab; Mark Uemura; Manal Hassan; Asif Rashid; Dan G Duda; Ahmed O Kaseb
Journal:  Onco Targets Ther       Date:  2017-03-03       Impact factor: 4.147

5.  Patient-derived organoids: a promising model for personalized cancer treatment.

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Journal:  Gastroenterol Rep (Oxf)       Date:  2018-10-09

6.  Fusion between M2-macrophages and cancer cells results in a subpopulation of radioresistant cells with enhanced DNA-repair capacity.

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Journal:  Oncotarget       Date:  2017-05-18

7.  Galectin-9 Expression Predicts Favorable Clinical Outcome in Solid Tumors: A Systematic Review and Meta-Analysis.

Authors:  Xiaoxiang Zhou; Lejia Sun; Dan Jing; Gang Xu; Jinmei Zhang; Li Lin; Jingjing Zhao; Zhuoran Yao; Hongfeng Lin
Journal:  Front Physiol       Date:  2018-04-26       Impact factor: 4.566

8.  Diagnostic value of glypican-3, arginase-1 and hepatocyte paraffin antigen -1 in differentiating hepatocellular carcinoma from intrahepatic cholangiocarcinoma.

Authors:  Congrong Wang; Xiangyang Shao; Xuanyu Zhang; Chunmei Xie; Juanping Yu; Xiao Xu; Jian Yang; Yu Li; Weiwen Xu
Journal:  Transl Cancer Res       Date:  2020-01       Impact factor: 1.241

  8 in total

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