Accession Number : AD1010162


Title :   Organizing the Cellular and Molecular Heterogeneity in High Grade Serous Ovarian Cancer by Mass Cytometry


Descriptive Note : Technical Report,30 Sep 2014,29 Sep 2015


Corporate Author : Stanford University Menlo Park United States


Personal Author(s) : Nolan,Garry P ; Fantl,Wendy J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1010162.pdf


Report Date : 01 Oct 2015


Pagination or Media Count : 20


Abstract : Primary ovarian cancer (OC) represents a complex set of stem cell and cancer cell phenotypes embedded in a mixture of stromal and infiltrating immune cells. This grant develops techniques and approaches using mass cytometry that organize the heterogeneity within and between patient tumors to enlighten mechanisms and clinical opportunities in the apparent chaotic structure of the cancer. Over the past year, we processed and analyzed 22 primary dissociated HG-SOC samples with over 100 antibodies comprising three panels designed to interrogate the tumor cells and tumor-immune infiltrate. We have a streamlined and highly optimized experimental pipeline in place from resection until data analysis of mass cytometry data. In addition to reproducing many of the trends we saw in our pilot studies our data analysis on this recent set of samples so far reveals: i) organization of samples into groups based upon the heterogeneity ii) evidence of epithelial- mesenchymal transition iii) the most comprehensive description of the HG-SOC-immune infiltrate to date. This includes many of the immune checkpoint proteins currently targeted in the clinic.Data analysis is continuing to elucidate the relationships between these biological findings.


Descriptors :   Ovarian cancer , stem cells , cells (biology) , neoplasms , antibodies , sampling , heterogeneity , apoptosis , Viability , immunochemistry , histochemistry , validation , systems biology , pathology , clustering , correlation , Macrophages , algorithms


Distribution Statement : APPROVED FOR PUBLIC RELEASE