This week in MathOnco 232

Radiation therapy, higher-order interactions, cell competition, evo-devo frameworks in cancer, adaptive therapy

“This week in Mathematical Oncology” — Oct. 27, 2022

> mathematical-oncology.org

From the editor:

Today we feature articles on radiation therapy, higher-order interactions, cell competition, evo-devo frameworks in cancer, and one our own preprints reviewing adaptive therapy math models.

Enjoy,

Jeffrey West
jeffrey.west@moffitt.org

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“In a letter to the journal Science in 1972, [Szent-Györgyi] said that scientists could be divided into two classes, Dionysians and Apollonians - in science, the Apollonian tends to develop established lines to their limit, while the Dionysian relies on intuition and is more likely to open new, unexpected lines of research.”
— D. Braben, “Scientific Freedom, The Elixer of Civilization”

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1. Coexistence in diverse communities with higher-order interactions
   Theo Gibbs, Simon A. Levin, Jonathan M. Levine

2. Temporal optimization of radiation therapy to heterogeneous tumour populations and cancer stem cells
   Cameron Meaney, Mohammad Kohandel, Arian Novruzi

3. Landscape of epithelial mesenchymal plasticity as an emergent property of coordinated teams in regulatory networks
   Kishore Hari, Varun Ullanat, Archana Balasubramanian, Aditi Gopalan, Mohit Kumar Jolly

4. p53 mutation in normal esophagus promotes multiple stages of carcinogenesis but is constrained by clonal competition
   Kasumi Murai, Stefan Dentro, Swee Hoe Ong, Roshan Sood, …, Irina Abnizova, Benjamin A. Hall, Moritz Gerstung, Philip H. Jones

5. Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
   Heba Alkhatib, Ariel M. Rubinstein, Swetha Vasudevan, Efrat Flashner-Abramson, …, Jon Feldman, Noa E. Cohen, Amichay Meirovitz, Nataly Kravchenko-Balasha

6. Competition between populations: preventing domination of resistant population using optimal control
   Mariusz Bodzioch, Piotr Bajger, Urszula Foryś

7. Chromosomal Instability, Selection and Competition: Factors That Shape the Level of Karyotype Intra-Tumor Heterogeneity
   Tom van den Bosch, Sarah Derks, Daniël M. Miedema

8. Predicting clinical response to everolimus in ER+ breast cancers using machine-learning
   Aritro Nath, Patrick A. Cosgrove, Jeffrey T. Chang, Andrea H. Bild

9. Evolutionary analysis of replicator dynamics about anti-cancer combination therapy
   Rujing Zhao, Xiulan Lai

10. Evo-devo perspectives on cancer
    Aurora M. Nedelcu

1. A survey of open questions in adaptive therapy: bridging mathematics and clinical translation
   Jeffrey West, Fred Adler, Jill Gallaher, Maximilian Strobl, …, Robert Noble, Yannick Viossat, David Basanta, Alexander R. A. Anderson

2. Deep exponential families for single-cell data analysis
   Pedro F Ferreira, Jack Kuipers, Niko Beerenwinkel

3. Temporal Optimization of Radiation Therapy to Heterogeneous Tumour Populations and Cancer Stem Cells
   Cameron Meaney, Mohammad Kohandel, Arian Novruzi

4. Statistical inference of the rates of cell proliferation and phenotypic switching in cancer
   Einar Bjarki Gunnarsson, Jasmine Foo, Kevin Leder

5. Distinct tumor-immune ecologies in NSCLC patients predict progression and define a clinical biomarker of therapy response
   Sandhya Prabhakaran, Chandler Gatenbee, Mark Robertson-Tessi, Amer A Beg, Jhanelle Gray, Scott Antonia, Robert A Gatenby, Alexander R.A. Anderson

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The newsletter now has a dedicated homepage where we post the cover artwork for each issue. We encourage submissions that coincide with the release of a recent paper from your group. This week’s artwork:

Based on the IMO Workshop: please visit imoworkshop.org for more information.

Artists: Jill Gallaher, Maximilian Strobl, Chandler Gatenbee, Sandy Anderson

Caption: Next week IMO will run its 10th annual workshop. This workshop is designed to motivate and facilitate a hands-on modeling experience focused on different aspects of cancer progression and treatment. This year our theme is “Cancer Communities”. In this artwork we have tried to capture this theme by integrating elements of community (ranging from tumor histology, to fish to circos plots, and even a cat if you can spot it) into a mountainous landscape, reflecting the similarities between the ecosystems around us and those within patients afflicted by the disease. To learn more, check out the webpage and follow the action on Twitter next week (#MoffittIMO).

Visit the mathematical oncology page to view jobs, meetings, and special issues. We will post new additions here, but the full list can found at mathematical-oncology.org.

1. Jobs

• NEW: Postdoctoral research scientist positions in computational cancer biology (Nowicki-Osuch Lab, Herbert and Florence Irving Institute for Cancer Dynamics, Columbia University) – Open until filled

2. Conferences / Meetings

3. Special issues

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