Solid tumors are highly heterogeneous and contain many distinct cell types including stromal cells. We hypothesize that only subsets of the tumor cells that harbor particular aberrant signaling pathways will contribute to therapeutic response or resistance. We propose using novel multiplex single cell omics to unlock the mechanisms of complete response to ADAPT therapy, an innovative combination therapy designed to target drug-resistant (or dormant) advanced colorectal cancer likely through Wnt-PI3K-CDK axis. In this proposal, we will employ comprehensive single cell genomics, transcriptomics, and proteomics to study in vitro and in vivo the dynamic transition of tumor and stromal cells populations, before and after standard 5-FU based chemotherapy versus ADAPT therapy directly in fresh colorectal cancer biopsies samples. This study will lead to greater insight into the pathways of response and resistance to ADAPT therapy and enable the development of a transformational single cell technology (SPARTA) that simultaneously measures multiple transcripts and proteins to monitor and stratify response/resistance.

Public Health Relevance

We will use novel multiplex single cell 'omics' methods to develop insights into the mechanisms of response and resistance to ADAPT therapy, an innovative combination therapy designed to target drug-resistant (or dormant) advanced colorectal cancer. This study will enable the development of a transformational single cell technology (SPARTA) that simultaneously measures multiple transcripts and proteins to monitor and stratify response/resistance. This strategy may also improve the cure rate of patients with late-stage colon cancer and other malignancies sharing a similar molecular pathway, and is therefore of interest to the broader cancer community.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA190122-03
Application #
9119796
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Yovandich, Jason L
Project Start
2014-09-16
Project End
2018-08-31
Budget Start
2016-09-01
Budget End
2017-08-31
Support Year
3
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Institute for Systems Biology
Department
Type
DUNS #
135646524
City
Seattle
State
WA
Country
United States
Zip Code
98109
Meng, Changting; Bai, Chunmei; Brown, Thomas D et al. (2018) Human Gut Microbiota and Gastrointestinal Cancer. Genomics Proteomics Bioinformatics 16:33-49
Tian, Qiang; Sangar, Vineet; Price, Nathan D (2016) Emerging Proteomic Technologies Provide Enormous and Underutilized Potential for Brain Cancer Research. Mol Cell Proteomics 15:362-7