Literature DB >> 28972880

Molecular profiling of liver cancer heterogeneity.

Amanda J Craig1, Johann von Felden1,2, Augusto Villanueva1,3.   

Abstract

Liver cancer has the highest increase in incidence and mortality of all cancers in the United States in recent decades. A major effort has been taken over the last 10 years to understand molecular heterogeneity between tumors of different patients through the development of mutation signatures and molecular classifications. More recently, attention has shifted to understanding intra-tumor heterogeneity (ITH). Several possibilities exist as to the underlying mechanisms that drive ITH in liver cancer, including cancer stem cells (CSCs) and neutral and clonal evolution. Tracking ITH changes in patients over treatment courses will become imperative as precision medicine comes to the forefront of cancer management. Here we review the models of ITH development in liver cancer and the impact ITH assessment can have on clinical management.

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Year:  2017        PMID: 28972880

Source DB:  PubMed          Journal:  Discov Med        ISSN: 1539-6509            Impact factor:   2.970


  4 in total

1.  Combined identification of ARID1A, CSMD1, and SENP3 as effective prognostic biomarkers for hepatocellular carcinoma.

Authors:  Yuanyuan Zhao; Bo Yang; Dong Chen; Xiaojun Zhou; Meixi Wang; Jipin Jiang; Lai Wei; Zhishui Chen
Journal:  Aging (Albany NY)       Date:  2021-02-07       Impact factor: 5.682

2.  A Machine Learning Model Based on Unsupervised Clustering Multihabitat to Predict the Pathological Grading of Meningiomas.

Authors:  Xinghao Wang; Jia Li; Jing Sun; Wenjuan Liu; Linkun Cai; Pengfei Zhao; Zhenghan Yang; Han Lv; Zhenchang Wang
Journal:  Biomed Res Int       Date:  2022-09-12       Impact factor: 3.246

3.  Thyroid cancer stem-like cell exosomes: regulation of EMT via transfer of lncRNAs.

Authors:  Heather Hardin; Holly Helein; Kristy Meyer; Samantha Robertson; Ranran Zhang; Weixiong Zhong; Ricardo V Lloyd
Journal:  Lab Invest       Date:  2018-07-02       Impact factor: 5.662

4.  NFAT2 overexpression suppresses the malignancy of hepatocellular carcinoma through inducing Egr2 expression.

Authors:  Jian Wang; Yamin Zhang; Lei Liu; Zilin Cui; Rui Shi; Jiancun Hou; Zirong Liu; Long Yang; Lianjiang Wang; Yang Li
Journal:  BMC Cancer       Date:  2020-10-06       Impact factor: 4.430

  4 in total

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