The Fund for Innovation in Cancer Informatics – as of June 30, 2023

  • ICI Fund Established in 2017
  • Awarded 27 Major Grants and 15 Discovery Grants
  • 21 Designated Cancer Centers
  • Over $6.9 million

ICI Outcomes Presented and Published:

  • Annals of Oncology
  • Biomed Central
  • Blood Advances
  • Cancerres (AACR Journal) – 2
  • Cancer Direct
  • Cancer Discovery (AACR) – 2
  • CELL
  • Genome Biology
  • JCO Precision Oncology
  • JCO Clinical Cancer Inform
  • NAR Cancer
  • Nature – 9
  • Nucleic Acids Research
  • PLOS Computational Biology
  • Science Direct
  • Science Magazine - 2
  • Scientific Advances
  • Springer

Articles in:

  • (DF)
  • MSKCC blog
  • Bioinformatics (MD Anderson)

Web-based Resources:

  • – An open-source computational tool for matching patients to clinical trials
  • – Tool for exploring annotation and functional impact of genetic variants
  • CRC Microbiome ExplorerResource for exploring the microbiome in colorectal cancer data sets 

Additional Resources Developed (or in development):

  • SIGNAL: Population-scale resource of Germline Variants and Accompanying Somatic Alterations in Cancer
  • Novel DL prognostic model for mCRPC progressing on next-generation hormone therapies.
  • SPaRTAN, a computational framework for linking cell-surface receptors to transcriptional regulators
  • Atlas of clinically-distinct cell states and cellular ecosystems across human solid tumors
  • REFLECT – precision combination therapy portal
  • G2S – web-service for annotating genomic variants in 3D protein structures

Additional grants applied for and awarded b/c Projects initially funded by ICI:

  • RO1
  • NIH R21 –(2)
  • NIH KO8
  • Prostate Cancer Research Program Idea Development Award,
  • Prostate Cancer Foundation YIA
  • Susan B. Koman

Talent Development:

  • Promotions
  • Hiring postdocs
  • Reappointments


  • Leslie/Toska: Showed that PI3K signaling is mediated by widespread alternatively spliced isoforms that are linked to proliferation, metabolism, and splicing in PIK3CA mutant cells, and established an atlas of PI3K-mediated splicing programs that could identify potential therapeutic targets in breast cancer. Learn More Here
  • Gao/Berger/Solit:  Using a large data set of over 17,000 cancer patients with sequencing data, to better understand the role of germline pathogenicity in tumorigenesis and its potential for improving clinical management. Learn More Here
  • Chen/Chiu: Developed a  deep learning model that predicts cancer dependencies - essentially, genes that specific cancer requires for proliferation - by integrative genomic profiles to explore cancer pathways. Learn More Here
  • Somasundaram/Osmanbeyoglu: Developed SPaRTAN, a computational method to link single-cell proteomics and transcriptomics to correlate cell-surface receptors with downstream transcriptional networks. Learn More Here
  • Ji/Xia: Developed a pipeline to identify microbiome dysbiosis in colorectal cancer patients and developed a web-based tool for data exploration. Learn More Here
  • Pritchard/Ha: Created Griffin, a tool to improve liquid biopsies by analyzing cell-free DNA for nucleosome occupy, which increased the potential for both sensitive cancer detection and disease-subtyping. 
  • Vasan/Reznick: Showed that tandem mutations in PIK3CA led to both increased oncogenicity as well as a heightened susceptibility to PIK3CA inhibitors. Learn More Here
  • Beroukhim/Shapira: Published a series of widely cited papers analyzing and describing the functional impact of genomic rearrangements that can result in the deletion, amplification, or reordering of whole genomic segments, ranging in size from kilobases to whole chromosomes, and identifying structural variants in non-protein-coding regions. Learn More Here