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Tumour heterogeneity and cancer cell plasticity

Author

Listed:
  • Corbin E. Meacham

    (Howard Hughes Medical Institute, University of Texas Southwestern Medical Center)

  • Sean J. Morrison

    (Howard Hughes Medical Institute, University of Texas Southwestern Medical Center)

Abstract

Phenotypic and functional heterogeneity arise among cancer cells within the same tumour as a consequence of genetic change, environmental differences and reversible changes in cell properties. Some cancers also contain a hierarchy in which tumorigenic cancer stem cells differentiate into non-tumorigenic progeny. However, it remains unclear what fraction of cancers follow the stem-cell model and what clinical behaviours the model explains. Studies using lineage tracing and deep sequencing could have implications for the cancer stem-cell model and may help to determine the extent to which it accounts for therapy resistance and disease progression.

Suggested Citation

  • Corbin E. Meacham & Sean J. Morrison, 2013. "Tumour heterogeneity and cancer cell plasticity," Nature, Nature, vol. 501(7467), pages 328-337, September.
    • Handle: RePEc:nat:nature:v:501:y:2013:i:7467:d:10.1038_nature12624
    DOI: 10.1038/nature12624
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    Cited by:

    1. Miranda V. Hunter & Reuben Moncada & Joshua M. Weiss & Itai Yanai & Richard M. White, 2021. "Spatially resolved transcriptomics reveals the architecture of the tumor-microenvironment interface," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    2. Remy Elbez & Jeff Folz & Alan McLean & Hernan Roca & Joseph M Labuz & Kenneth J Pienta & Shuichi Takayama & Raoul Kopelman, 2021. "Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-14, November.
    3. Humberto Contreras-Trujillo & Jiya Eerdeng & Samir Akre & Du Jiang & Jorge Contreras & Basia Gala & Mary C. Vergel-Rodriguez & Yeachan Lee & Aparna Jorapur & Areen Andreasian & Lisa Harton & Charles S, 2021. "Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    4. Zijuan Li & Yuyun Zhang & Ci-Hang Ding & Yan Chen & Haoyu Wang & Jinyu Zhang & Songbei Ying & Meiyue Wang & Rongzhi Zhang & Jinyi Liu & Yilin Xie & Tengfei Tang & Huishan Diao & Luhuan Ye & Yili Zhuan, 2023. "LHP1-mediated epigenetic buffering of subgenome diversity and defense responses confers genome plasticity and adaptability in allopolyploid wheat," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    5. Jacob C Kimmel & Amy Y Chang & Andrew S Brack & Wallace F Marshall, 2018. "Inferring cell state by quantitative motility analysis reveals a dynamic state system and broken detailed balance," PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-29, January.
    6. Shiqian Ma & Daniel Johnson & Cody Ashby & Donghai Xiong & Carole L Cramer & Jason H Moore & Shuzhong Zhang & Xiuzhen Huang, 2015. "SPARCoC: A New Framework for Molecular Pattern Discovery and Cancer Gene Identification," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-19, March.
    7. Josefine Radke & Elisa Schumann & Julia Onken & Randi Koll & Güliz Acker & Bohdan Bodnar & Carolin Senger & Sascha Tierling & Markus Möbs & Peter Vajkoczy & Anna Vidal & Sandra Högler & Petra Kodajova, 2022. "Decoding molecular programs in melanoma brain metastases," Nature Communications, Nature, vol. 13(1), pages 1-24, December.
    8. Seong Eun Lee & Seongyeol Park & Shinae Yi & Na Rae Choi & Mi Ae Lim & Jae Won Chang & Ho-Ryun Won & Je Ryong Kim & Hye Mi Ko & Eun-Jae Chung & Young Joo Park & Sun Wook Cho & Hyeong Won Yu & June You, 2024. "Unraveling the role of the mitochondrial one-carbon pathway in undifferentiated thyroid cancer by multi-omics analyses," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    9. Albert H Gough & Ning Chen & Tong Ying Shun & Timothy R Lezon & Robert C Boltz & Celeste E Reese & Jacob Wagner & Lawrence A Vernetti & Jennifer R Grandis & Adrian V Lee & Andrew M Stern & Mark E Schu, 2014. "Identifying and Quantifying Heterogeneity in High Content Analysis: Application of Heterogeneity Indices to Drug Discovery," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-16, July.
    10. Claudia Bühnemann & Simon Li & Haiyue Yu & Harriet Branford White & Karl L Schäfer & Antonio Llombart-Bosch & Isidro Machado & Piero Picci & Pancras C W Hogendoorn & Nicholas A Athanasou & J Alison No, 2014. "Quantification of the Heterogeneity of Prognostic Cellular Biomarkers in Ewing Sarcoma Using Automated Image and Random Survival Forest Analysis," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-14, September.
    11. Qiuchen Guo & Milos Spasic & Adam G. Maynard & Gregory J. Goreczny & Amanuel Bizuayehu & Jessica F. Olive & Peter Galen & Sandra S. McAllister, 2022. "Clonal barcoding with qPCR detection enables live cell functional analyses for cancer research," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    12. Hoang Pham, 2022. "Mathematical Modeling the Time-Delay Interactions between Tumor Viruses and the Immune System with the Effects of Chemotherapy and Autoimmune Diseases," Mathematics, MDPI, vol. 10(5), pages 1-15, February.
    13. Haralampos Hatzikirou & Nikos I. Kavallaris & Marta Leocata, 2021. "A Novel Averaging Principle Provides Insights in the Impact of Intratumoral Heterogeneity on Tumor Progression," Mathematics, MDPI, vol. 9(20), pages 1-27, October.
    14. Yanying Wang & Jing Wang & Xiaoyu Li & Xushen Xiong & Jianyi Wang & Ziheng Zhou & Xiaoxiao Zhu & Yang Gu & Dan Dominissini & Lei He & Yong Tian & Chengqi Yi & Zusen Fan, 2021. "N1-methyladenosine methylation in tRNA drives liver tumourigenesis by regulating cholesterol metabolism," Nature Communications, Nature, vol. 12(1), pages 1-19, December.

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