Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling

Atsushi Niida, Satoshi Nagayama, Satoru Miyano, Koshi Mimori

Research output: Contribution to journalReview article

11 Citations (Scopus)

Abstract

Cancer is composed of multiple cell populations with different genomes. This phenomenon called intratumor heterogeneity (ITH) is supposed to be a fundamental cause of therapeutic failure. Therefore, its principle-level understanding is a clinically important issue. To achieve this goal, an interdisciplinary approach combining genome analysis and mathematical modeling is essential. For example, we have recently performed multiregion sequencing to unveil extensive ITH in colorectal cancer. Moreover, by employing mathematical modeling of cancer evolution, we demonstrated that it is possible that this ITH is generated by neutral evolution. In this review, we introduce recent advances in a research field related to ITH and also discuss strategies for exploiting novel findings on ITH in a clinical setting.

Original languageEnglish
Pages (from-to)884-892
Number of pages9
JournalCancer Science
Volume109
Issue number4
DOIs
Publication statusPublished - Apr 2018

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Genome
Genetic Drift
Colorectal Neoplasms
Neoplasms
Research
Population
Therapeutics

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Cite this

Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling. / Niida, Atsushi; Nagayama, Satoshi; Miyano, Satoru; Mimori, Koshi.

In: Cancer Science, Vol. 109, No. 4, 04.2018, p. 884-892.

Research output: Contribution to journalReview article

Niida, Atsushi ; Nagayama, Satoshi ; Miyano, Satoru ; Mimori, Koshi. / Understanding intratumor heterogeneity by combining genome analysis and mathematical modeling. In: Cancer Science. 2018 ; Vol. 109, No. 4. pp. 884-892.
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