Cancer Biology & Evolution (CBE) is a first-in-kind CCSG Program that emerged from systematic in-house collaborations of mathematicians, evolutionary biologists, and basic and clinical cancer researchers. Although these research teams investigate cancer via traditional means, they include mathematicians and theorists who integrate multi-scalar data through quantitative models founded on evolutionary first principles. Specifically, the CBE integrates the genocentric focus of conventional cancer research into broader Darwinian dynamics where: (i) evolution selects for cellular adaptive phenotypes that emerge in complex ways from both mutations and changes in the expression of normal genes; and (ii) the fitness of each cancer cell is dependent on environmental context and will vary with temporal and spatial changes in the tumor milieu. Mathematicians play critical roles in the CBE Program by deconvoluting the nonlinear dynamics that are manifest in complex open systems such as cancer and by developing and applying mathematical models and computer simulations. The unique scientific ?ecosystem? of the CBE has driven the formation of innovative multidisciplinary teams that are investigating virtually every aspect of cancer biology and therapy through a quantitative evolutionary lens. The overall goals of CBE are to investigate and define the complex dynamics that govern the biology and therapeutic responses of cancer, and to deliver new agents and strategies to prevent and treat refractory or relapsed malignancies. Specifically, CBE Members: (i) generate and apply sophisticated experimental models and methods to define and quantify spatial and temporal dynamics of molecular, cellular, and tissue properties during cancer development, progression, metastasis, and treatment (Aim 1); (ii) develop and test theoretical models, which are based on evolution by natural selection and are parameterized by experimental data, to define cancer dynamics and inform new strategies for control and treatment (Aim 2); and (iii) design new studies and clinical trials that test model predictions, to deliver effective, adaptive therapies into the clinic, and to refine the understanding of cancer biology and therapy (Aim 3). CBE teams have implemented these goals through: (i) combining in vivo and in silico models to understand, prevent and treat metastasis; (ii) targeting never genes, i.e., genes where mutations are never or rarely observed, to produce a durable treatment response; (iii) exploiting tumor dynamics to ?steer? cancers toward a less invasive evolutionary trajectory; (iv) modeling tumor evolutionary strategies that result in therapy resistance; and (v) mathematical models that have been translated into adaptive, personalized clinical trials. The CBE Program has 24 members from nine different academic departments. During the past funding cycle, CBE Members have published 399 cancer- related articles, with 22% representing intra-programmatic publications and 32% being inter-programmatic publications. Total annual grant funding for the CBE Program is robust and is currently at $9.1 million; $8.2 million is peer-reviewed, including $6.3 million from NCI.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA076292-21
Application #
9637361
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
Project End
Budget Start
2019-02-01
Budget End
2020-01-31
Support Year
21
Fiscal Year
2019
Total Cost
Indirect Cost
Name
H. Lee Moffitt Cancer Center & Research Institute
Department
Type
DUNS #
139301956
City
Tampa
State
FL
Country
United States
Zip Code
33612
Perales-Puchalt, Alfredo; Perez-Sanz, Jairo; Payne, Kyle K et al. (2018) Frontline Science: Microbiota reconstitution restores intestinal integrity after cisplatin therapy. J Leukoc Biol 103:799-805
Davis, Stacy N; Govindaraju, Swapamthi; Jackson, Brittany et al. (2018) Recruitment Techniques and Strategies in a Community-Based Colorectal Cancer Screening Study of Men and Women of African Ancestry. Nurs Res 67:212-221
Martínez, Úrsula; Brandon, Thomas H; Sutton, Steven K et al. (2018) Associations between the smoking-relatedness of a cancer type, cessation attitudes and beliefs, and future abstinence among recent quitters. Psychooncology 27:2104-2110
Kasting, Monica L; Giuliano, Anna R; Reich, Richard R et al. (2018) Hepatitis C Virus Screening Trends: Serial Cross-Sectional Analysis of the National Health Interview Survey Population, 2013-2015. Cancer Epidemiol Biomarkers Prev 27:503-513
Nelson, Ashley M; Jim, Heather S L; Small, Brent J et al. (2018) Sleep disruption among cancer patients following autologous hematopoietic cell transplantation. Bone Marrow Transplant 53:307-314
Singh, Kshipra; Coburn, Lori A; Asim, Mohammad et al. (2018) Ornithine Decarboxylase in Macrophages Exacerbates Colitis and Promotes Colitis-Associated Colon Carcinogenesis by Impairing M1 Immune Responses. Cancer Res 78:4303-4315
Pidala, Joseph; Beato, Francisca; Kim, Jongphil et al. (2018) In vivo IL-12/IL-23p40 neutralization blocks Th1/Th17 response after allogeneic hematopoietic cell transplantation. Haematologica 103:531-539
Denson, Aaron; Burke, Nancy; Wapinsky, Georgine et al. (2018) Clinical Outcomes of Patients With Gastrointestinal Malignancies Participating in Phase I Clinical Trials. Am J Clin Oncol 41:133-139
Betts, Brian C; Bastian, David; Iamsawat, Supinya et al. (2018) Targeting JAK2 reduces GVHD and xenograft rejection through regulation of T cell differentiation. Proc Natl Acad Sci U S A 115:1582-1587
Hoogland, Aasha I; Lechner, Suzanne C; Gonzalez, Brian D et al. (2018) Efficacy of a Spanish-Language Self-Administered Stress Management Training intervention for Latinas undergoing chemotherapy. Psychooncology 27:1305-1311

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