Literature DB >> 28754669

Integrating Models to Quantify Environment-Mediated Drug Resistance.

Noemi Picco1,2, Erik Sahai3, Philip K Maini2, Alexander R A Anderson4.   

Abstract

Drug resistance is the single most important driver of cancer treatment failure for modern targeted therapies, and the dialog between tumor and stroma has been shown to modulate the response to molecularly targeted therapies through proliferative and survival signaling. In this work, we investigate interactions between a growing tumor and its surrounding stroma and their role in facilitating the emergence of drug resistance. We used mathematical modeling as a theoretical framework to bridge between experimental models and scales, with the aim of separating intrinsic and extrinsic components of resistance in BRAF-mutated melanoma; the model describes tumor-stroma dynamics both with and without treatment. Integration of experimental data into our model revealed significant variation in either the intensity of stromal promotion or intrinsic tissue carrying capacity across animal replicates. Cancer Res; 77(19); 5409-18. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28754669     DOI: 10.1158/0008-5472.CAN-17-0835

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  10 in total

Review 1.  Mutual concessions and compromises between stromal cells and cancer cells: driving tumor development and drug resistance.

Authors:  Pritish Nilendu; Sachin C Sarode; Devashree Jahagirdar; Ishita Tandon; Shankargouda Patil; Gargi S Sarode; Jayanta K Pal; Nilesh Kumar Sharma
Journal:  Cell Oncol (Dordr)       Date:  2018-07-19       Impact factor: 6.730

Review 2.  Pharmacodynamic Drug-Drug Interactions.

Authors:  Jin Niu; Robert M Straubinger; Donald E Mager
Journal:  Clin Pharmacol Ther       Date:  2019-04-26       Impact factor: 6.875

Review 3.  Mechanotransduction in tumor progression: The dark side of the force.

Authors:  Florence Broders-Bondon; Thanh Huong Nguyen Ho-Bouldoires; Maria-Elena Fernandez-Sanchez; Emmanuel Farge
Journal:  J Cell Biol       Date:  2018-02-21       Impact factor: 10.539

4.  Mathematical Modeling of Cortical Neurogenesis Reveals that the Founder Population does not Necessarily Scale with Neurogenic Output.

Authors:  Noemi Picco; Fernando García-Moreno; Philip K Maini; Thomas E Woolley; Zoltán Molnár
Journal:  Cereb Cortex       Date:  2018-07-01       Impact factor: 5.357

5.  CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer.

Authors:  Thomas D Sherman; Luciane T Kagohara; Raymon Cao; Raymond Cheng; Matthew Satriano; Michael Considine; Gabriel Krigsfeld; Ruchira Ranaweera; Yong Tang; Sandra A Jablonski; Genevieve Stein-O'Brien; Daria A Gaykalova; Louis M Weiner; Christine H Chung; Elana J Fertig
Journal:  PLoS Comput Biol       Date:  2019-04-19       Impact factor: 4.475

Review 6.  Transcriptional Factor Repertoire of Breast Cancer in 3D Cell Culture Models.

Authors:  Hande Özkan; Deniz Gülfem Öztürk; Gozde Korkmaz
Journal:  Cancers (Basel)       Date:  2022-02-17       Impact factor: 6.639

7.  Stromal reactivity differentially drives tumour cell evolution and prostate cancer progression.

Authors:  Simon W Hayward; Gustavo Ayala; Alexander R A Anderson; Ziv Frankenstein; David Basanta; Omar E Franco; Yan Gao; Rodrigo A Javier; Douglas W Strand; MinJae Lee
Journal:  Nat Ecol Evol       Date:  2020-05-11       Impact factor: 19.100

8.  Modeling three-dimensional invasive solid tumor growth in heterogeneous microenvironment under chemotherapy.

Authors:  Hang Xie; Yang Jiao; Qihui Fan; Miaomiao Hai; Jiaen Yang; Zhijian Hu; Yue Yang; Jianwei Shuai; Guo Chen; Ruchuan Liu; Liyu Liu
Journal:  PLoS One       Date:  2018-10-26       Impact factor: 3.240

9.  Coloured Noise from Stochastic Inflows in Reaction-Diffusion Systems.

Authors:  Michael F Adamer; Heather A Harrington; Eamonn A Gaffney; Thomas E Woolley
Journal:  Bull Math Biol       Date:  2020-03-20       Impact factor: 1.758

Review 10.  Computational models of melanoma.

Authors:  Marco Albrecht; Philippe Lucarelli; Dagmar Kulms; Thomas Sauter
Journal:  Theor Biol Med Model       Date:  2020-05-14       Impact factor: 2.432

  10 in total

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