| Literature DB >> 33352957 |
Marie Christine Wulff Westergaard1, Katy Milne2, Magnus Pedersen1, Thomas Hasselager3, Lars Rønn Olsen4,5, Michael S Anglesio6, Troels Holz Borch1, Mia Kennedy2, Gillian Briggs2, Stacey Ledoux2, Caroline Kreuzinger7, Isabel von der Decken7, Marco Donia1, Dan Cacsire Castillo-Tong7, Brad H Nelson2,8, Inge Marie Svane1.
Abstract
Anti-PD1/PDL1 therapy has proven efficacious against many cancers but only reached modest objective response rates against recurrent ovarian cancer. A deeper understanding of the tumor microenvironment (TME) may reveal other immunosuppressive mechanisms that warrant investigation as immunotherapeutic targets for this challenging disease. Matched primary and recurrent tumors from patients with high-grade serous ovarian carcinoma (HGSC) were analyzed by multicolor immunohistochemistry/immunofluorescence for the presence of T cells, B cells, macrophages, and for the expression of immunosuppressive and HLA molecules. Cancer- and immune-related gene expression was assessed by NanoString analysis. Recurrent tumors showed increased infiltration by immune cells, displayed higher expression of PDL1, IDO, and HLA molecules, and contained more stromal tissue. NanoString analysis demonstrated increased expression of gene signatures related to chemokines and T cell functions in recurrent tumors. The ovarian tumors showed high gene expression of LAG3 and HAVCR2 (TIM3) and enhanced levels of TIGIT and CTLA4 in recurrent tumors compared to primary tumors. The majority of HGSC developed into a more inflamed phenotype during progression from primary to recurrent disease, including indications of adaptive immune resistance. This suggests that recurrent tumors may be particularly sensitive to inhibition of adaptive immune resistance mechanisms.Entities:
Keywords: NanoString; TILs; adaptive immune resistance; immune checkpoints; multicolor immunohistochemistry (IHC); ovarian cancer; tumor microenvironment
Year: 2020 PMID: 33352957 PMCID: PMC7767114 DOI: 10.3390/cancers12123828
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639