Literature DB >> 33657326

Drivers of dynamic intratumor heterogeneity and phenotypic plasticity.

Antara Biswas1, Subhajyoti De1.   

Abstract

Cancer is a clonal disease, i.e., all tumor cells within a malignant lesion trace their lineage back to a precursor somatic cell that acquired oncogenic mutations during development and aging. And yet, those tumor cells tend to have genetic and nongenetic variations among themselves-which is denoted as intratumor heterogeneity. Although some of these variations are inconsequential, others tend to contribute to cell state transition and phenotypic heterogeneity, providing a substrate for somatic evolution. Tumor cell phenotypes can dynamically change under the influence of genetic mutations, epigenetic modifications, and microenvironmental contexts. Although epigenetic and microenvironmental changes are adaptive, genetic mutations are usually considered permanent. Emerging reports suggest that certain classes of genetic alterations show extensive reversibility in tumors in clinically relevant timescales, contributing as major drivers of dynamic intratumor heterogeneity and phenotypic plasticity. Dynamic heterogeneity and phenotypic plasticity can confer resistance to treatment, promote metastasis, and enhance evolvability in cancer. Here, we first highlight recent efforts to characterize intratumor heterogeneity at genetic, epigenetic, and microenvironmental levels. We then discuss phenotypic plasticity and cell state transition by tumor cells, under the influence of genetic and nongenetic determinants and their clinical significance in classification of tumors and therapeutic decision-making.

Entities:  

Keywords:  cancer evolution; cell state transition; drug resistance; intratumor heterogeneity; phenotypic plasticity

Mesh:

Substances:

Year:  2021        PMID: 33657326      PMCID: PMC8163571          DOI: 10.1152/ajpcell.00575.2020

Source DB:  PubMed          Journal:  Am J Physiol Cell Physiol        ISSN: 0363-6143            Impact factor:   4.249


  110 in total

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Review 2.  Extrachromosomal oncogene amplification in tumour pathogenesis and evolution.

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3.  Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.

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Review 4.  Models, mechanisms and clinical evidence for cancer dormancy.

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Review 5.  Mitochondria and Cancer.

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Review 9.  Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics.

Authors:  Anna S Nam; Ronan Chaligne; Dan A Landau
Journal:  Nat Rev Genet       Date:  2020-08-17       Impact factor: 53.242

10.  Simultaneous evolutionary expansion and constraint of genomic heterogeneity in multifocal lung cancer.

Authors:  Pengfei Ma; Yujie Fu; Mei-Chun Cai; Ying Yan; Ying Jing; Shengzhe Zhang; Minjiang Chen; Jie Wu; Ying Shen; Liang Zhu; Hong-Zhuan Chen; Wei-Qiang Gao; Mengzhao Wang; Zhenyu Gu; Trever G Bivona; Xiaojing Zhao; Guanglei Zhuang
Journal:  Nat Commun       Date:  2017-10-10       Impact factor: 14.919

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2.  Analysis of the Single-Cell Heterogeneity of Adenocarcinoma Cell Lines and the Investigation of Intratumor Heterogeneity Reveals the Expression of Transmembrane Protein 45A (TMEM45A) in Lung Adenocarcinoma Cancer Patients.

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Review 3.  Role of Circular RNAs in the Regulation of Immune Cells in Response to Cancer Therapies.

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4.  Inference on spatial heterogeneity in tumor microenvironment using spatial transcriptomics data.

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