This week in MathOnco 185

Organoid environmental effects, classic growth models in humans, adaptive therapy, model-informed drug development, and more

“This week in Mathematical Oncology” — Oct. 28, 2021
From the editor:

This week’s edition includes papers on organoid environmental effects, classic growth models in humans, adaptive therapy, model-informed drug development, tumor-immune interactions and more.


Jeffrey West

  1. Perspective on model-informed drug development
    Lawrence J. Lesko

  2. Prediction of overall survival in patients across solid tumors following atezolizumab treatments: A tumor growth inhibition–overall survival modeling framework
    Phyllis Chan, Mathilde Marchand, Kenta Yoshida, Shweta Vadhavkar, Nina Wang, Alyse Lin, Benjamin Wu, Marcus Ballinger, Nitzan Sternheim, Jin Y. Jin, René Bruno

  3. Multistate model for pharmacometric analyses of overall survival in HER2-negative breast cancer patients treated with docetaxel
    Sreenath M. Krishnan, Lena E. Friberg, René Bruno, Ulrich Beyer, Jin Y. Jin, Mats O. Karlsson

  4. Optimizing Adaptive Therapy Based on the Reachability to Tumor Resistant Subpopulation
    Jiali Wang, Yixuan Zhang, Xiaoquan Liu, Haochen Liu

  5. Modeling Prostate Cancer Treatment Responses in the Organoid Era: 3D Environment Impacts Drug Testing
    Annelies Van Hemelryk, Lisanne Mout, Sigrun Erkens-Schulze, Pim J. French, Wytske M. van Weerden, Martin E. van Royen

  6. Cells with cancer-associated mutations overtake our tissues as we age
    Edward J. Evans Jr., James DeGregori

  1. Towards integration of time-resolved confocal microscopy of a 3D in vitro microfluidic platform with a hybrid multiscale model of tumor angiogenesis
    Caleb M. Phillips, Ernesto A. B. F. Lima, Manasa Gadde, Angela M. Jarrett, Marissa Nichole Rylander, Thomas E. Yankeelov

  2. Dynamics of fibril collagen remodeling by tumor cells using individual cell-based mathematical modeling
    Sharan Poonja, Mehdi Damaghi, Katarzyna A. Rejniak

  3. Classical Mathematical Models for Prediction of Response to Chemotherapy and Immunotherapy
    Narmin Ghaffari Laleh, Chiara Maria Lavinia Loeffler, Julia Grajek, Kateřina Staňková, Alexander T. Pearson, Hannah Sophie Muti, Christian Trautwein, Heiko Enderling, Jan Poleszczuk, Jakob Nikolas Kather

  4. Spatio-temporal modelling of phenotypic heterogeneity in tumour tissues and its impact on radiotherapy treatment
    Giulia L. Celora, Helen M. Byrne, P.G. Kevrekidis

  5. Collective gradient sensing with limited positional information
    Emiliano Perez Ipiña, Brian A. Camley

  1. The Night Science Podcast
    “Where do ideas come from? In each episode, scientists Itai Yanai and Martin Lercher explore science’s creative side with a leading colleague.”

The newsletter now has a dedicated homepage (, which allows us to post cover artwork for each issue. We encourage submissions that coincide with the release of a recent paper from your group.

Caption: In the simplest sense, the ultimate goal of treating cancer is for the patient to remain alive. This is not synonymous with eradicating every tumor cell in the body. Similar to the failure of high-dose synthetic pesticides in agricultural pest management to result in “cured fields,” high dose treatments in metastatic disease rarely, if ever, result in a cure. So, until truly curative therapies are developed, the treatment of metastatic disease could greatly benefit from the development of a long-term management clinical paradigm that judiciously uses the plethora of therapies that are already available. Coined as “Integrated Metastatic Management,” this new clinical paradigm would draw heavily from the principles of agricultural pest management and could result in the slowing or curtailing of widespread resistance to treatment, reducing overall drug usage, and increasing the overall survival and quality of life of cancer patients.

Created by: Cover art and design by Leslie Caroline Wilcox, 2021.

More info: Read Jessica Cunningham’s dissertation here, or download her recent opinion piece about metastatic management published in Nature Ecology & Evolution. Twitter: @CunninghamJessJ.

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