This week in MathOnco 155

Evolution snapshot; CAR-T; genomic divergence; lineage history; cell density

“This week in Mathematical Oncology” — Newsletter

Mar. 25, 2021
>jeffrey.west@moffitt.org

From the editor:


Summary of contents:

• A snapshot encompassing all of tumor evolution

• Multi-drug synergism/antagonism in adaptive therapy

• The influence of cell density on proliferation

• Genomic divergence of primary & mets (with stunning visualizations)

Enjoy,
-Jeffrey West

1. SnapShot: Tumor evolution
   Ariana Huebner, Michelle Dietzen, Nicholas McGranahan

2. Role of synergy and antagonism in designing multidrug adaptive chemotherapy schedules
   Y. Ma, P. K. Newton

3. Topological signatures in regulatory network enable phenotypic heterogeneity in small cell lung cancer
   Lakshya Chauhan, Uday Ram, Kishore Hari, Mohit Kumar Jolly

4. Synchronized oscillations in growing cell populations are explained by demographic noise
   Enrico Gavagnin, Sean T. Vittadello, Gency Gunasingh, Nikolas K. Haass, Matthew J. Simpson, Tim Rogers, Christian A. Yates

5. Modeling CAR T-Cell Therapy with Patient Preconditioning
   Katherine Owens, Ivana Bozic

6. Elements and evolutionary determinants of genomic divergence between paired primary and metastatic tumors
   Ruping Sun, Athanasios N. Nikolakopoulos

7. Roles of phenotypic heterogeneity and microenvironment feedback in early tumor development
   Matthew Smart, Sidhartha Goyal, Anton Zilman

8. Initial cell density encodes proliferative potential in cancer cell populations
   Chiara Enrico Bena, Marco Del Giudice, Alice Grob, Thomas Gueudré, Mattia Miotto, Dimitra Gialama, Matteo Osella, Emilia Turco, Francesca Ceroni, Andrea De Martino & Carla Bosia

9. Reconstructing the Lineage Histories and Differentiation Trajectories of Individual Cancer Cells in Myeloproliferative Neoplasms
   DebraVan
   Debra Van Egeren, Javier Escabi, Maximilian Nguyen, ShichenLiu, …, Gabriela S. Hobbs, Fernando D. Camargo, Franziska Michor, Sahand Hormoz

1. Mathematical models of Leukaemia and its treatment: A review
   Salvador Chulián, Álvaro-Martínez Rubio, María Rosa, Víctor M. Pérez-García
   

1. Modeling the between-tumor genomic divergence

Ruping Sun: “Longitudinal tumor sampling provides us with the opportunity to quantify the between-tumor (stage) genomic divergence. However, it still remains a challenge about how to translate the genomic divergence between paired metastatic and primary tumor samples (M-P divergence) into the natural history of metastatic spread. Given a phylogenetic tree of these tumor samples constructed from NGS data, should we read a small M-P divergence as a sign of “early” metastatic seeding, or evidence of a “late” acquisiton of the metastatic potential? Before answering this clinically relevant question, one needs to characterize what exactly is being captured on the trees of tumor evolution by such divergence.”

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• Networks in Cancer: From Symmetry Breaking to Targeted Therapy
  Guest Editor: Cristian Axenie, Roman Bauer, María Rodríguez Martínez

• Understanding the Evolutionary Dynamics and Ecology of Cancer in Treatment Resistance
  Guest Editor: David Basanta

• Mathematical Models of Cellular Immunotherapies in Cancer
  Guest Editors: V. Pérez-García, L. de Pillis, P. Altrock, R. Rockne

• From Ecology to Cancer Biology and Back Again
  Guest Editors: Fred Adler, Sarah Amend, Chris Whelan

• Frontiers in quantitative cancer modeling
  Guest Editors: Mohit Kumar Jolly, Heiko Enderling

• NEW: PhD student - Measuring cancer evolution in a changing tumour microenvironment (Xiaowei Jiang)

• Postdoctoral Scholar - Genetics and Genome Sciences (Christopher McFarland)

• PhD Position - Simulation of Tissue (Jakob Rosenbauer)

• Postdoc on colorectal cancer evolution or cancer immunotherapy (Ivana Bozic)

• PhD student in modeling evolution and ecology of cancer (Rob Noble)

• Postdoc on cancer/immune modeling and machine learning (Eduardo Sontag)

• PhD candidate/Early Career Researcher: Theory of Stackelberg evolutionary games for cancer treatment (Katerina Stankova)

• Early Stage Researcher: Impact of different resistance mechanisms on the outcomes of cancer treatment game (Weini Huang)

• Early Stage Researcher: Evolutionary therapy in ovarian cancer (Ben Werner)

• CDC Steven M. Teutsch Prevention Effectiveness Fellowship

• Mathematical Modeling Expert in Oncology Translational Science (Boehringer Ingelheim)

• Research Associate - Biostatistician (University of Manchester)

• Postdoctoral Fellow in Cancer Resistance Modeling, Pfizer (Blerta Shtylla)

• Director Quantitative Clinical Pharmacology, Oncology

• Principal Scientist – Oncology PK/PD Modelling (Boehringer Ingelheim)

• Biosimulation Scientist (Physiomics)

• Postdoctoral Research Position in Computational Immunology (Sylvain Cussat-Blanc)

• Systems Biology Modeler Positions in Biopharma Consulting Company (Helen Moore)

• Computational Approaches to Breast Cancer Evolution - Postdoc (Marc Ryser)

• Math/statistical models of stem cell lineage dynamics and cancer genomics - Postdoc (Adam MacLean)

• Machine Learning / Math Modeling Postdoc (Noemi Andor)

• Cancer immunotherapy / systems bio postdoc (Elana J Fertig)

• Integrated Math Oncology Ph.D. (Moffitt)

• Integrated Math Oncology Postdoc (Sandy Anderson)

• Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)

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