This week in MathOnco 258

Evolutionary dynamics, B-cell lymphoma, AI-assisted programming and more.

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Jun 15, 2023

`> mathematical-oncology.org`

`From the editor:`

Today we feature articles on evolutionary dynamics, B-cell lymphoma, AI-assisted programming and more.

Thanks,

Jeffrey West jeffrey.west@moffitt.org

NF-κB fingerprinting reveals heterogeneous NF-κB composition in diffuse large B-cell lymphoma
Eleanor Jayawant, Arran Pack, Heather Clark, Emma Kennedy, Ankur Ghodke, John Jones, Chris Pepper, Andrea Pepper and Simon Mitchell
Computational modeling of DLBCL predicts response to BH3-mimetics
Ielyaas Cloete, Victoria M. Smith, Ross A. Jackson, Andrea Pepper, Chris Pepper, Meike Vogler, Martin J. S. Dyer & Simon Mitchell
Using quantitative systems pharmacology modeling to optimize combination therapy of anti-PD-L1 checkpoint inhibitor and T cell engager
Samira Anbari, Hanwen Wang, Yu Zhang, Jun Wang, Minu Pilvankar, Masoud Nickaeen2, Steven Hansel and Aleksander S. Popel
Characterizing evolutionary dynamics reveals strategies to exhaust the spectrum of subclonal resistance in EGFR-mutant lung cancer
Nina Müller, Carina Lorenz, Jenny Ostendorp, Felix S. Heisel, …, Roman K. Thomas, Martin L. Sos, Johannes Berg, Johannes Brägelmann

Hypoxia-resistance heterogeneity in tumours: the impact of geometrical characterization of environmental niches and evolutionary trade-offs. A mathematical approach
Giulia Chiari, Giada Fiandaca, Marcello Edoardo Delitala
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney, Eric Horvitz

Why we can't yet cure cancer
Simona Cristea: “Cancer is a disease we all know too well and a main reason why people die. Why is this? Cancer is not a new problem. In fact, it exists since thousands of years. It has been studied to unimaginable levels of detail. Clinicians are seeing the same disease over and over again. Then, why do people still die of cancer?”
How Darwin’s Theory inspired a new approach to treat incurable cancers
Klara Rombauts: “The Anticancer Fund recently decided to support research on patient-specific adaptive therapies. ‘Patient-specific adaptive therapies’, now that’s a mouthful. Let me explain. Historically, it was assumed that incurable patients would need continuous high-dose therapy to shrink the tumour as much as possible to keep the cancer controlled. What’s gone is gone, right? As knowledge evolves, we got familiar with the issue of tumour resistance. This means that after a while, the tumour outsmarts the treatment and finds alternative paths for growth. The resistant cancer cells get to dominate the sensitive cancer cells and the tumour doesn’t respond to the treatment anymore.”

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 paper: Deterministic evolution and stringent selection during preneoplasia in Nature

Artist: Kasper Karlsson (@KaspKarl), Michael deGrigorio & Christina Curtis (@cncurtis)

Caption: "Stephen J Gould once famously asked: “Should the tape of life be replayed, would it produce similar living beings?“. In our recent manuscript we asked a similar question: “If we initiate tumor evolution in multiple different cells, would the same phenotype emerge?“. To this end we engineered TP53-deficiency in primary human gastric organoids from healthy donors and evolved them from clonally derived replicate cultures for over two years. We observe that several features of tumor evolution can be replicated by prolonged in vitro organoid culturing, that selection is similar across replicates from the same culture and that cultures from different donors evolve similar malignant phenotypes. This suggests that tumor evolution to some extent is predictable, and that by “restarting the tape of cancer” under different conditions, we may find a path forward that avoids malignant transformation. Press play!"

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