Literature DB >> 26590416

Improving Cancer Treatment via Mathematical Modeling: Surmounting the Challenges Is Worth the Effort.

Franziska Michor1, Kathryn Beal2.   

Abstract

Drug delivery schedules are key factors in the efficacy of cancer therapies, and mathematical modeling of population dynamics and treatment responses can be applied to identify better drug administration regimes as well as provide mechanistic insights. To capitalize on the promise of this approach, the cancer field must meet the challenges of moving this type of work into clinics.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26590416      PMCID: PMC4676401          DOI: 10.1016/j.cell.2015.11.002

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  38 in total

1.  Studying clonal dynamics in response to cancer therapy using high-complexity barcoding.

Authors:  Hyo-eun C Bhang; David A Ruddy; Viveksagar Krishnamurthy Radhakrishna; Justina X Caushi; Rui Zhao; Matthew M Hims; Angad P Singh; Iris Kao; Daniel Rakiec; Pamela Shaw; Marissa Balak; Alina Raza; Elizabeth Ackley; Nicholas Keen; Michael R Schlabach; Michael Palmer; Rebecca J Leary; Derek Y Chiang; William R Sellers; Franziska Michor; Vesselina G Cooke; Joshua M Korn; Frank Stegmeier
Journal:  Nat Med       Date:  2015-04-13       Impact factor: 53.440

2.  Converting cancer therapies into cures: lessons from infectious diseases.

Authors:  Michael S Glickman; Charles L Sawyers
Journal:  Cell       Date:  2012-03-16       Impact factor: 41.582

3.  Optimization of dosing for EGFR-mutant non-small cell lung cancer with evolutionary cancer modeling.

Authors:  Juliann Chmielecki; Jasmine Foo; Geoffrey R Oxnard; Katherine Hutchinson; Kadoaki Ohashi; Romel Somwar; Lu Wang; Katherine R Amato; Maria Arcila; Martin L Sos; Nicholas D Socci; Agnes Viale; Elisa de Stanchina; Michelle S Ginsberg; Roman K Thomas; Mark G Kris; Akira Inoue; Marc Ladanyi; Vincent A Miller; Franziska Michor; William Pao
Journal:  Sci Transl Med       Date:  2011-07-06       Impact factor: 17.956

4.  Intratumor heterogeneity alters most effective drugs in designed combinations.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-07       Impact factor: 11.205

5.  Evolution and impact of subclonal mutations in chronic lymphocytic leukemia.

Authors:  Dan A Landau; Scott L Carter; Petar Stojanov; Aaron McKenna; Kristen Stevenson; Michael S Lawrence; Carrie Sougnez; Chip Stewart; Andrey Sivachenko; Lili Wang; Youzhong Wan; Wandi Zhang; Sachet A Shukla; Alexander Vartanov; Stacey M Fernandes; Gordon Saksena; Kristian Cibulskis; Bethany Tesar; Stacey Gabriel; Nir Hacohen; Matthew Meyerson; Eric S Lander; Donna Neuberg; Jennifer R Brown; Gad Getz; Catherine J Wu
Journal:  Cell       Date:  2013-02-14       Impact factor: 41.582

6.  Mathematical modeling of PDGF-driven glioblastoma reveals optimized radiation dosing schedules.

Authors:  Kevin Leder; Ken Pitter; Quincey LaPlant; Dolores Hambardzumyan; Brian D Ross; Timothy A Chan; Eric C Holland; Franziska Michor
Journal:  Cell       Date:  2014-01-30       Impact factor: 41.582

7.  A mathematic model for relating the drug sensitivity of tumors to their spontaneous mutation rate.

Authors:  J H Goldie; A J Coldman
Journal:  Cancer Treat Rep       Date:  1979 Nov-Dec

Review 8.  Single cell analysis of cancer genomes.

Authors:  Peter Van Loo; Thierry Voet
Journal:  Curr Opin Genet Dev       Date:  2014-02-26       Impact factor: 5.578

9.  The effect of heterogeneity on optimal regimens in cancer chemotherapy.

Authors:  J M Murray; A J Coldman
Journal:  Math Biosci       Date:  2003-09       Impact factor: 2.144

Review 10.  Targeted cancer therapy.

Authors:  Charles Sawyers
Journal:  Nature       Date:  2004-11-18       Impact factor: 49.962

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  33 in total

Review 1.  Evolutionary scalpels for dissecting tumor ecosystems.

Authors:  Daniel I S Rosenbloom; Pablo G Camara; Tim Chu; Raul Rabadan
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2016-12-05       Impact factor: 10.680

2.  The changing face of cancer diagnosis: From computational image analysis to systems biology.

Authors:  Fabian Kiessling
Journal:  Eur Radiol       Date:  2018-02-27       Impact factor: 5.315

Review 3.  Addressing current challenges in cancer immunotherapy with mathematical and computational modelling.

Authors:  Anna Konstorum; Anthony T Vella; Adam J Adler; Reinhard C Laubenbacher
Journal:  J R Soc Interface       Date:  2017-06       Impact factor: 4.118

Review 4.  Modeling Tumor Clonal Evolution for Drug Combinations Design.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Trends Cancer       Date:  2016-03

Review 5.  The biology and mathematical modelling of glioma invasion: a review.

Authors:  J C L Alfonso; K Talkenberger; M Seifert; B Klink; A Hawkins-Daarud; K R Swanson; H Hatzikirou; A Deutsch
Journal:  J R Soc Interface       Date:  2017-11       Impact factor: 4.118

6.  Optimum multi-drug regime for compartment model of tumour: cell-cycle-specific dynamics in the presence of resistance.

Authors:  Bharti Panjwani; Vijander Singh; Asha Rani; Vijay Mohan
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-03-22       Impact factor: 2.745

7.  Data-Driven Methods for Advancing Precision Oncology.

Authors:  Prema Nedungadi; Akshay Iyer; Georg Gutjahr; Jasmine Bhaskar; Asha B Pillai
Journal:  Curr Pharmacol Rep       Date:  2018-03-06

8.  Lung Cancer Radiotherapy: Simulation and Analysis Based on a Multicomponent Mathematical Model.

Authors:  Wen-Song Hong; Shun-Guan Wang; Gang-Qing Zhang
Journal:  Comput Math Methods Med       Date:  2021-04-29       Impact factor: 2.238

9.  Angiogenesis and chemotherapy resistance: optimizing chemotherapy scheduling using mathematical modeling.

Authors:  Mariusz Bodzioch; Piotr Bajger; Urszula Foryś
Journal:  J Cancer Res Clin Oncol       Date:  2021-05-29       Impact factor: 4.553

10.  Modelling bistable tumour population dynamics to design effective treatment strategies.

Authors:  Andrei R Akhmetzhanov; Jong Wook Kim; Ryan Sullivan; Robert A Beckman; Pablo Tamayo; Chen-Hsiang Yeang
Journal:  J Theor Biol       Date:  2019-05-09       Impact factor: 2.405

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