We have reached capacity for the poster sessions and are no longer accepting abstracts. 

Registration for the conference will close on August 30.

**Please note that registration is limited to 10 attendees for each U54 and 5 attendees for each U01.

Abstract categories

**For abstract submissions, investigators will need to choose the category that best reflects their area of research. **

To help guide category selection for your abstract, we have provided some examples of relevant topics for each category below. Abstracts need not be limited to the provided examples:

Computational Approaches to Cancer

  • Approaches to extracting key features from complex cancer data sets, including machine learning, deep learning, or AI, to develop predictive models for the progression and treatment of cancer.
  • New computational models that describe tumor behaviors at multiple scales.
  • Novel data integration approaches that derive mechanistic hypotheses.
  • Computational approaches for design of therapeutic strategies and clinical trials.

Molecular Networks Driving Tumor Phenotype

  • Development of systematic maps of molecular interactions and genetic dependency networks in cancer cells and tissues.
  • Systems approaches to understanding aberrant cell signaling due to somatic mutation or non-genetic perturbation.
  • Tools to quantitatively measure signal transduction or molecular interactions that alter tumor cell phenotype.
  • Imaging-based approaches that report network activity or dysregulation in cancer.

Cellular and Extracellular Interactions in Tumor Evolution, Heterogeneity and Metastasis

  • Physical science based approaches to model dynamics of cell-cell, cell-matrix, or cell-stroma interactions.
  • Systematic analysis of the role of stromal and immune components in cancer initiation, progression, and metastasis.
  • The role of the tumor microenvironment in informing mechanisms of tumor evolution and resulting tumor heterogeneity.
  • Approaches that delineate the contribution of cell intrinsic versus cell extrinsic factors in drug resistance, heterogeneity, and metastasis.
  • Systems analysis of cooperating cellular phenotypes in drug response and tumor progression.

Nuclear Structure and Function in Cancer Biology

  • Systems biology or physical science based approaches for understanding the impact of non-coding RNAs, gene regulatory regions, and distinct transcriptional domains on cancer initiation, progression and metastasis.
  • Quantitative studies of nuclear mechanics during normal and cancer cell processes, such as cell division, invasion, and metastasis.
  • Studies focused on the role of small or long non-coding RNAs in gene regulation and chromatin configuration.

Translational Applications of Physical Oncology and Systems Biology

  • Physical science and/or systems biology strategies that bring new and innovative therapeutic strategies, prognostic tools, and therapies to the clinic.
  • Computational models of patient response and new and/or adaptive treatment regimes.
  • New tools, devices, or resources for cancer diagnoses or long-term monitoring of indolent disease.
  • In silico clinical trial design.
  • Translational questions especially suited for a physical science or systems biology approach.

Patient advocacy

  • The role and impact of patient advocates in cancer research.


  • Tools, methods, data or other resources generated as part of the PS-ON and CSBC activities.
  • Resources that could be of interest to the wider CSBC and PS-ON communities.
  • Resources associated with education and outreach efforts.



Maximum poster dimensions: 36 inches high X 48 inches wide.