Emerging Topics in Cancer Evolution

Mohammed El-Kebir; Quaid Morris; Layla Oesper; S. Cenk Sahinalp

doi:10.1142/9789811250477_0036

Emerging Topics in Cancer Evolution

Mohammed El-Kebir, Quaid Morris, Layla Oesper, S. Cenk Sahinalp

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Cancer results from an evolutionary process that yields a heterogeneous tumor with distinct subpopulations and varying sets of somatic mutations. This perspective discusses computational methods to infer models of evolutionary processes in cancer that aim to improve our understanding of tumorigenesis and ultimately enhance current clinical practice.

Original language	English (US)
Title of host publication	Pacific Symposium on Biocomputing 2022, PSB 2022
Editors	Russ B. Altman, A. Keith Dunker, Lawrence Hunter, Marylyn D. Ritchie, Teri E. Klein
Publisher	World Scientific
Pages	397-401
Number of pages	5
ISBN (Electronic)	9789811250460
DOIs	https://doi.org/10.1142/9789811250477_0036
State	Published - 2022
Externally published	Yes
Event	27th Pacific Symposium on Biocomputing, PSB 2022 - Kohala Coast, United States Duration: Jan 3 2022 → Jan 7 2022

Conference

Conference	27th Pacific Symposium on Biocomputing, PSB 2022
Country/Territory	United States
City	Kohala Coast
Period	1/3/22 → 1/7/22

Keywords

Evolution
Intra-tumor heterogeneity
Phylogeny
Precision medicine

ASJC Scopus subject areas

Biomedical Engineering
Computational Theory and Mathematics

Online availability

10.1142/9789811250477_0036

Library availability

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Cite this

@inproceedings{4c548596662c4a98a9a5f7bd2ed39449,

title = "Emerging Topics in Cancer Evolution",

abstract = "Cancer results from an evolutionary process that yields a heterogeneous tumor with distinct subpopulations and varying sets of somatic mutations. This perspective discusses computational methods to infer models of evolutionary processes in cancer that aim to improve our understanding of tumorigenesis and ultimately enhance current clinical practice.",

keywords = "Evolution, Intra-tumor heterogeneity, Phylogeny, Precision medicine",

author = "Mohammed El-Kebir and Quaid Morris and Layla Oesper and Sahinalp, {S. Cenk}",

note = "Acknowledgments. M.E-K. was supported by the National Science Foundation (grants: CCF-1850502 and CCF-2046488) as well as funding from the Cancer Center at Illinois. Q.M. was supported by the National Institutes of Health (grants: P30 CA 008748). L.O. was supported by the National Science Foundation (grants: IIS-1657380 and IIS-2046011). S.C.S. was supported by the intramural research program of the National Cancer Institute, National Institutes of Health.; 27th Pacific Symposium on Biocomputing, PSB 2022 ; Conference date: 03-01-2022 Through 07-01-2022",

year = "2022",

doi = "10.1142/9789811250477_0036",

language = "English (US)",

pages = "397--401",

editor = "Altman, {Russ B.} and Dunker, {A. Keith} and Lawrence Hunter and Ritchie, {Marylyn D.} and Klein, {Teri E.}",

booktitle = "Pacific Symposium on Biocomputing 2022, PSB 2022",

publisher = "World Scientific",

}

TY - GEN

T1 - Emerging Topics in Cancer Evolution

AU - El-Kebir, Mohammed

AU - Morris, Quaid

AU - Oesper, Layla

AU - Sahinalp, S. Cenk

N1 - Acknowledgments. M.E-K. was supported by the National Science Foundation (grants: CCF-1850502 and CCF-2046488) as well as funding from the Cancer Center at Illinois. Q.M. was supported by the National Institutes of Health (grants: P30 CA 008748). L.O. was supported by the National Science Foundation (grants: IIS-1657380 and IIS-2046011). S.C.S. was supported by the intramural research program of the National Cancer Institute, National Institutes of Health.

PY - 2022

Y1 - 2022

N2 - Cancer results from an evolutionary process that yields a heterogeneous tumor with distinct subpopulations and varying sets of somatic mutations. This perspective discusses computational methods to infer models of evolutionary processes in cancer that aim to improve our understanding of tumorigenesis and ultimately enhance current clinical practice.

AB - Cancer results from an evolutionary process that yields a heterogeneous tumor with distinct subpopulations and varying sets of somatic mutations. This perspective discusses computational methods to infer models of evolutionary processes in cancer that aim to improve our understanding of tumorigenesis and ultimately enhance current clinical practice.

KW - Evolution

KW - Intra-tumor heterogeneity

KW - Phylogeny

KW - Precision medicine

UR - http://www.scopus.com/inward/record.url?scp=85122495131&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85122495131&partnerID=8YFLogxK

U2 - 10.1142/9789811250477_0036

DO - 10.1142/9789811250477_0036

M3 - Conference contribution

C2 - 34890166

AN - SCOPUS:85122495131

SP - 397

EP - 401

BT - Pacific Symposium on Biocomputing 2022, PSB 2022

A2 - Altman, Russ B.

A2 - Dunker, A. Keith

A2 - Hunter, Lawrence

A2 - Ritchie, Marylyn D.

A2 - Klein, Teri E.

PB - World Scientific

T2 - 27th Pacific Symposium on Biocomputing, PSB 2022

Y2 - 3 January 2022 through 7 January 2022

ER -

Emerging Topics in Cancer Evolution

Abstract

Conference

Keywords

ASJC Scopus subject areas

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