Literature DB >> 28596419

Intratumor Heterogeneity: Novel Approaches for Resolving Genomic Architecture and Clonal Evolution.

Ravi G Gupta1, Robert A Somer2.   

Abstract

High-throughput genomic technologies have revealed a remarkably complex portrait of intratumor heterogeneity in cancer and have shown that tumors evolve through a reiterative process of genetic diversification and clonal selection. This discovery has challenged the classical paradigm of clonal dominance and brought attention to subclonal tumor cell populations that contribute to the cancer phenotype. Dynamic evolutionary models may explain how these populations grow within the ecosystem of tissues, including linear, branching, neutral, and punctuated patterns. Recent evidence in breast cancer favors branching and punctuated evolution driven by genome instability as well as nongenetic sources of heterogeneity, such as epigenetic variation, hierarchal tumor cell organization, and subclonal cell-cell interactions. Resolution of the full mutational landscape of tumors could help reconstruct their phylogenetic trees and trace the subclonal origins of therapeutic resistance, relapsed disease, and distant metastases, the major causes of cancer-related mortality. Real-time assessment of the tumor subclonal architecture, however, remains limited by the high rate of errors produced by most genome-wide sequencing methods as well as the practical difficulties associated with serial tumor genotyping in patients. This review focuses on novel approaches to mitigate these challenges using bulk tumor, liquid biopsies, single-cell analysis, and deep sequencing techniques. The origins of intratumor heterogeneity and the clinical, diagnostic, and therapeutic consequences in breast cancer are also explored. Mol Cancer Res; 15(9); 1127-37. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28596419     DOI: 10.1158/1541-7786.MCR-17-0070

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  14 in total

1.  Intraductal Papillary Mucinous Neoplasms Arise From Multiple Independent Clones, Each With Distinct Mutations.

Authors:  Catherine G Fischer; Violeta Beleva Guthrie; Alicia M Braxton; Lily Zheng; Pei Wang; Qianqian Song; James F Griffin; Peter E Chianchiano; Waki Hosoda; Noushin Niknafs; Simeon Springer; Marco Dal Molin; David Masica; Robert B Scharpf; Elizabeth D Thompson; Jin He; Christopher L Wolfgang; Ralph H Hruban; Nicholas J Roberts; Anne Marie Lennon; Yuchen Jiao; Rachel Karchin; Laura D Wood
Journal:  Gastroenterology       Date:  2019-06-05       Impact factor: 22.682

2.  Multiregion Sequence Analysis to Predict Intratumor Heterogeneity and Clonal Evolution.

Authors:  Soyeon Ahn; Haiyan Huang
Journal:  Methods Mol Biol       Date:  2021

Review 3.  Intratumoral Heterogeneity in Ductal Carcinoma In Situ: Chaos and Consequence.

Authors:  Vidya C Sinha; Helen Piwnica-Worms
Journal:  J Mammary Gland Biol Neoplasia       Date:  2018-09-07       Impact factor: 2.673

4.  Intratumoral heterogeneity of Notch1 expression in small cell lung cancer.

Authors:  Takaaki Ito
Journal:  J Thorac Dis       Date:  2018-03       Impact factor: 2.895

5.  Voxel Forecast for Precision Oncology: Predicting Spatially Variant and Multiscale Cancer Therapy Response on Longitudinal Quantitative Molecular Imaging.

Authors:  Stephen R Bowen; Daniel S Hippe; W Art Chaovalitwongse; Chunyan Duan; Phawis Thammasorn; Xiao Liu; Robert S Miyaoka; Hubert J Vesselle; Paul E Kinahan; Ramesh Rengan; Jing Zeng
Journal:  Clin Cancer Res       Date:  2019-05-29       Impact factor: 12.531

6.  Prognostic Impact of Intratumoral Heterogeneity Based on Fractal Geometry Analysis in Operated NSCLC Patients.

Authors:  Angelo Castello; Carlo Russo; Fabio Grizzi; Dorina Qehajaj; Egesta Lopci
Journal:  Mol Imaging Biol       Date:  2019-10       Impact factor: 3.488

Review 7.  Exosomal biomarkers for cancer diagnosis and patient monitoring.

Authors:  Amy Makler; Waseem Asghar
Journal:  Expert Rev Mol Diagn       Date:  2020-02-20       Impact factor: 5.225

Review 8.  Potential impact of tissue molecular heterogeneity on ambient mass spectrometry profiles: a note of caution in choosing the right disease model.

Authors:  Lauren Katz; Michael Woolman; Alessandra Tata; Arash Zarrine-Afsar
Journal:  Anal Bioanal Chem       Date:  2020-11-27       Impact factor: 4.142

9.  Subjecting appropriate lung adenocarcinoma samples to next-generation sequencing-based molecular testing: challenges and possible solutions.

Authors:  Weihua Li; Tian Qiu; Yun Ling; Shugeng Gao; Jianming Ying
Journal:  Mol Oncol       Date:  2018-03-23       Impact factor: 6.603

10.  Pan-cancer analysis of intratumor heterogeneity associated with patient prognosis using multidimensional measures.

Authors:  Chie Kikutake; Minako Yoshihara; Tetsuya Sato; Daisuke Saito; Mikita Suyama
Journal:  Oncotarget       Date:  2018-12-28
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