Modulation of Immune Infiltration of Ovarian Cancer Tumor Microenvironment by Specific Subpopulations of Fibroblasts

dc.contributor.authorWang, Ji
dc.contributor.authorCheng, Frank H. C.
dc.contributor.authorTedrow, Jessica
dc.contributor.authorChang, Wennan
dc.contributor.authorZhang, Chi
dc.contributor.authorMitra, Anirban K.
dc.contributor.departmentMedical and Molecular Genetics, School of Medicineen_US
dc.date.accessioned2021-12-30T21:19:36Z
dc.date.available2021-12-30T21:19:36Z
dc.date.issued2020-10-29
dc.description.abstractSimple Summary The ovarian cancer tumor microenvironment is made up of ovarian cancer cells along with a milieu of proteins and normal cells, including fibroblasts, immune cells, endothelial cells, pericytes and adipocytes. The noncancer components also play an important role in determining the fate of the tumor and exhibit a lot of heterogeneity. In this study, we have used a deconvolution algorithm to identify four different fibroblast subpopulations and multiple immune cell types, from bulk RNA-seq data of ovarian cancer primary tumors, metastases and normal omentum. We report the prevalence of specific fibroblast subtypes that determine the tumor-immune microenvironment. Our study can potentially help provide a template for identification of potential combination therapies to enhance the efficacy of ovarian cancer immunotherapies. Abstract Tumor immune infiltration plays a key role in the progression of solid tumors, including ovarian cancer, and immunotherapies are rapidly emerging as effective treatment modalities. However, the role of cancer-associated fibroblasts (CAFs), a predominant stromal constituent, in determining the tumor-immune microenvironment and modulating efficacy of immunotherapies remains poorly understood. We have conducted an extensive bioinformatic analysis of our and other publicly available ovarian cancer datasets (GSE137237, GSE132289 and GSE71340), to determine the correlation of fibroblast subtypes within the tumor microenvironment (TME) with the characteristics of tumor-immune infiltration. We identified (1) four functional modules of CAFs in ovarian cancer that are associated with the TME and metastasis of ovarian cancer, (2) immune-suppressive function of the collagen 1,3,5-expressing CAFs in primary ovarian cancer and omental metastases, and (3) consistent positive correlations between the functional modules of CAFs with anti-immune response genes and negative correlation with pro-immune response genes. Our study identifies a specific fibroblast subtype, fibroblast functional module (FFM)2, in the ovarian cancer tumor microenvironment that can potentially modulate a tumor-promoting immune microenvironment, which may be detrimental toward the effectiveness of ovarian cancer immunotherapies.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationWang, J., Cheng, F. H. C., Tedrow, J., Chang, W., Zhang, C., & Mitra, A. K. (2020). Modulation of Immune Infiltration of Ovarian Cancer Tumor Microenvironment by Specific Subpopulations of Fibroblasts. Cancers, 12(11), 3184. https://doi.org/10.3390/cancers12113184en_US
dc.identifier.issn2072-6694en_US
dc.identifier.urihttps://hdl.handle.net/1805/27227
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.isversionof10.3390/cancers12113184en_US
dc.relation.journalCancersen_US
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.sourcePublisheren_US
dc.subjectovarian canceren_US
dc.subjectimmune infiltrationen_US
dc.subjectsubpopulations of fibroblastsen_US
dc.titleModulation of Immune Infiltration of Ovarian Cancer Tumor Microenvironment by Specific Subpopulations of Fibroblastsen_US
dc.typeArticleen_US
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