The 2019 mathematical oncology roadmap

被引：134

作者：

Rockne, Russell C. ^{[1
]}

Hawkins-Daarud, Andrea ^{[2
]}

Swanson, Kristin R. ^{[2
,3
]}

Sluka, James P. ^{[4
,5
]}

Glazier, James A. ^{[4
,5
]}

Macklin, Paul ^{[4
]}

Hormuth, David A., II ^{[6
]}

Jarrett, Angela M. ^{[6
]}

Lima, Ernesto A. B. F. ^{[6
]}

Oden, J. Tinsley ^{[6
]}

Biros, George ^{[6
]}

Yankeelov, Thomas E. ^{[6
]}

Curtius, Kit ^{[7
]}

Al Bakir, Ibrahim ^{[7
,8
]}

DominikWodare ^{[9
]}

Komarova, Natalia ^{[10
]}

Aparicio, Luis ^{[11
]}

Bordyuh, Mykola ^{[11
]}

Rabadan, Raul ^{[11
]}

Finley, Stacey D. ^{[12
]}

Enderling, Heiko ^{[13
]}

Caudell, Jimmy ^{[14
]}

Moros, Eduardo G. ^{[14
,15
]}

Anderson, Alexander R. A. ^{[16
]}

Gatenby, Rob Ert A. ^{[16
]}

Kaznatcheev, Artem ^{[17
,18
]}

Jeavons, Peter ^{[17
]}

Krishnan, Nikhil ^{[19
]}

Pelesko, Julia ^{[19
]}

Wadhwa, Raoul R. ^{[19
]}

Yoon, Nara ^{[18
]}

Nichol, Daniel ^{[20
]}

Marusyk, Andriy ^{[14
]}

Hinczewski, Michael ^{[21
]}

Scott, Jacob G. ^{[18
]}

机构：

[1] City Hope Natl Med Ctr, Div Math Oncol, Dept Computat & Quantitat Med, Duarte, CA 91010 USA

[2] Mayo Clin, Precis Neurotherapeut Innovat Program, Phoenix, AZ 85054 USA

[3] Arizona State Univ, Sch Math & Stat Sci, Tempe, AZ 85281 USA

[4] Indiana Univ, Intelligent Syst Engn, Bloomington, IN 47408 USA

[5] Indiana Univ, Biocomplex Inst, Bloomington, IN 47408 USA

[6] Univ Texas Austin, Oden Inst Computat Engn & Sci, Austin, TX 78712 USA

[7] Queen Mary Univ London, Ctr Tumour Biol, Barts Canc Inst, London EC1M 6BQ, England

[8] St Marks Hosp, Inflammatory Bowel Dis Unit, London HA1 3UJ, England

[9] Univ Calif Irvine, Dept Ecol & Evolutionary Biol, Irvine, CA 92697 USA

[10] Univ Calif Irvine, Dept Math, Irvine, CA 92697 USA

[11] Columbia Univ, Dept Syst Biol, New York, NY 10032 USA

[12] Univ Southern Calif, Dept Biomed Engn, Los Angeles, CA 90089 USA

[13] H Lee Moffitt Canc Ctr & Res Inst, Dept Integrated Math Oncol, Tampa, FL 33647 USA

[14] H Lee Moffitt Canc Ctr & Res Inst, Dept Radiat Oncol, Tampa, FL 33647 USA

[15] H Lee Moffitt Canc Ctr & Res Inst, Dept Canc Physiol, Tampa, FL 33647 USA

[16] H Lee Moffitt Canc Ctr & Res Inst, Integrated Math Oncol Dept, Ctr Excellence Evolutionary Therapy, Tampa, FL 33612 USA

[17] Univ Oxford, Dept Comp Sci, Oxford OX1 3QD, England

[18] Cleveland Clin, Dept Translat Hematol & Oncol Res, Cleveland, OH 44195 USA

[19] Case Western Reserve Univ, Sch Med, Cleveland, OH 44106 USA

[20] Inst Canc Res, Ctr Evolut & Canc, Evolutionary Genom & Modelling Lab, London SM2 5NG, England

[21] Case Western Reserve Univ, Dept Phys, Cleveland, OH 44106 USA

来源：

PHYSICAL BIOLOGY | 2019年 / 16卷 / 04期

关键词：

mathematical oncology; mathematical modeling; modeling and simulation; cancer; systems biology; computational oncology; SCREENING STRATEGIES; FITNESS LANDSCAPES; TUMOR-GROWTH; CANCER; MODEL; HETEROGENEITY; GLIOBLASTOMA; RADIOTHERAPY; EVOLUTION; PROGRESSION;

D O I：

10.1088/1478-3975/ab1a09

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology, Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is no denying that mathematics continues to play an increasingly prominent role in cancer research. Mathematical Oncology-defined here simply as the use of mathematics in cancer research-complements and overlaps with a number of other fields that rely on mathematics as a core methodology. As a result, Mathematical Oncology has a broad scope, ranging from theoretical studies to clinical trials designed with mathematical models. This Roadmap differentiates Mathematical Oncology from related fields and demonstrates specific areas of focus within this unique field of research. The dominant theme of this Roadmap is the personalization of medicine through mathematics, modelling, and simulation. This is achieved through the use of patient-specific clinical data to: develop individualized screening strategies to detect cancer earlier; make predictions of response to therapy; design adaptive, patient-specific treatment plans to overcome therapy resistance; and establish domain-specific standards to share model predictions and to make models and simulations reproducible. The cover art for this Roadmap was chosen as an apt metaphor for the beautiful, strange, and evolving relationship between mathematics and cancer.

引用

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