Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Characterizing the tumor microenvironment of metastatic ovarian cancer by single cell transcriptomics

ABSTRACT: Understanding the cellular composition of the tumor microenvironment and the interactions of the cells is essential to the development of successful immunotherapies in cancer. We perform single-cell RNA sequencing (scRNA-seq) of 9,885 cells isolated from the omentum in 6 patients with ovarian cancer and identify 9 major cell types, including cancer, stromal, and immune cells. Transcriptional analysis of immune cells stratifies our patient samples into 2 groups: (1) high T cell infiltration (high Tinf) and (2) low T cell infiltration (low Tinf). TOX-expressing resident memory CD8+ T (CD8+ Trm) and granulysin-expressing CD4+ T cell clusters are enriched in the high Tinf group. Concurrently, we find unique plasmablast and plasma B cell clusters, and finally, NR1H2+IRF8+ and CD274+ macrophage clusters, suggesting an anti-tumor response in the high Tinf group. Our scRNA-seq study of metastatic tumor samples provides important insights in elucidating the immune response within ovarian tumors.

ORGANISM(S): Homo sapiens

PROVIDER: GSE147082 | GEO | 2021/05/04

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

PRKCI promotes immune suppression in ovarian tumors through YAP1

Project description:A key feature of ovarian high-grade serous carcinoma is frequent amplification of the 3q26 locus. Here we show that PRKCI, located on the 3q26 locus is not only amplified and overexpressed in 78% of HGSC patient samples but is also expressed in early fallopian tube lesions, called Serous Tubal Intraepithelial Carcinoma. In vivo studies in a transgenic mouse model establish PRKCI as an ovarian cancer oncogene and identify YAP1 as a downstream regulator. Together, PRKCI and YAP1 regulate TNFα to promote an immune suppressive microenvironment and inhibit cytotoxic T-cell infiltration in tumors. High PRKCI expressing human ovarian tumors show decreased cytotoxic T-cell infiltration. Taken together, we identify PRKCI and YAP1 as key mediators of a tumor-promoting immune microenvironment in ovarian cancer.

2018-06-01 | GSE57262 | GEO

Unraveling Tumor-Immune Heterogeneity in Advanced Ovarian Cancer Uncovers Immunogenic Effect of Chemotherapy [naïve]

Project description:In metastatic cancer, the degree of heterogeneity of the tumor-immune microenvironment and its molecular underpinnings remain largely unstudied. To characterize the tumor-immune interface at baseline and during neoadjuvant chemotherapy in high-grade serous ovarian cancer (HGSOC), we performed immunogenomics analysis of treatment-naive and paired pre/post-chemotherapy treated samples. In treatment-naive HGSOC, we find that immune cell-excluded and inflammatory microenvironments co-exist within the same individuals and within the same tumor sites, indicating ubiquitous variability in immune cell infiltration. Analysis of tumor microenvironment cell composition, DNA copy number, mutations and gene expression showed that immune cell exclusion was associated with amplification of Myc target genes and increased expression of canonical Wnt signaling in treatment-naive HGSOC. Following neoadjuvant chemotherapy, increased natural killer cell infiltration and oligoclonal expansion of T cells were detected. We demonstrate that the tumor-immune microenvironment of advanced HGSOC is intrinsically heterogeneous and that chemotherapy induces local immune activation, suggesting that chemotherapy can potentiate the immunogenicity of immune-excluded HGSOC tumors. The goal of this particular experiment was quantify RNA expression using microarray technology, and then evaluate differences in the trasncirptomic landscape of treatment naïve metastatic high grade serous ovarian cancer.

2020-03-14 | GSE146964 | GEO

Unraveling Tumor-Immune Heterogeneity in Advanced Ovarian Cancer Uncovers Immunogenic Effect of Chemotherapy [Pre&Post-Tx]

2020-03-14 | GSE146963 | GEO

PRKCI promotes immune suppression in ovarian cancer through YAP1

Project description:A key feature of high-grade serous ovarian carcinoma (HGSOC) is frequent amplification of the 3q26 locus harboring PRKC-iota (PRKCI). Here, we show that PRKCI is also expressed in early fallopian tube lesions, called Serous Tubal Intraepithelial Carcinoma. Transgenic mouse studies establish PRKCI as an ovarian cancer specific oncogene and system level and functional analyses identify YAP1 as a downstream effector in tumor progression. Mechanistically, the oncogenic activity of the PRKCI-YAP1 axis relates in part to the upregulation of TNFα to promote an immune suppressive tumor microenvironment characterized by an abundance of myeloid-derived suppressor cells and inhibition of cytotoxic T cell infiltration. In human ovarian cancers, high PRKCI expression also correlates with high expression of YAP1 and low infiltration of cytotoxic T-cell. The PRKCI-YAP1 regulation of the tumor immunity provides a therapeutic strategy for highly lethal ovarian cancer. Robust multi-array average (RMA) method was used with default options (with background correction, quantile normalization, and log transformation) to normalize raw data from batches using R/Bioconductor‘s affy package

2018-06-01 | GSE82319 | GEO

Breast Cancer - immune clusters - RNA-seq

Project description:In this study we use expression data from breast cancer tumors to define immune clusters in breast cancer. Immune clusters have gradual levels of immune infiltration. In the intermediate immune infiltration cluster, we found a worse prognosis which is independent of known clinicopathological features. We also found the immune clusters associated with treatment response. Further using gene expression data and deconvolution algorithms to dissect the immune contexture of the clusters.

| EGAS00001003631 | EGA

6572eca7-7324-4e77-900b-b3d8df568f4d - samples

| EGAD00001004985 | EGA

Single Cell Analyses of Renal Cell Cancers Reveal Insights into Tumor Microenvironment, Cell of Origin, and Therapy Response

Project description:Diverse subtypes of renal cell carcinomas (RCC) display a wide spectrum of histomorphologies, proteogenomic alterations, immune cell infiltration patterns, and clinical behavior. Delineating the ontogeny of these malignancies with the identification of cells of origin for different RCC subtypes will provide mechanistic insights into their diverse pathobiology. With this aim, we performed single cell RNA sequencing (scRNA-seq) analysis of ~30,000 cells dissociated from benign human kidney and renal tumor specimens. The benign renal tissue cell atlas comprised 26 distinct cell clusters representing all known major and minor cell types, as well as two rare proximal tubule cell types (PT-B and PT-C) and one novel entity containing both intercalated and principal cell (IC-PC) phenotypes. In comparison, the tumor cell atlas was comprised of 13 different cell clusters encompassing neoplastic cells and components of the tumor microenvironment. Using a random forest model trained on the scRNA-seq data from benign tubular epithelial cell types, we predicted the putative cell of origin for more than 10 different RCC subtypes.

2021-05-22 | GSE159115 | GEO

scRNA-seq analysis demonstrate alterations in TICs of the TME during TREM1 inhibition and anti-PD-1 treatment in B16F10 melanoma

Project description:To comprehensively characterize the changes within the TME during TREM1 deficiency and anti-PD-1 immune checkpoint blockade therapy, we performed scRNA-seq analysis of the CD45+ TICs in melanoma-bearing C57BL/6 mice receiving the various treatments. We analyzed approximately 8,249 CD45+ cells from the treatment groups with t-SNE analysis, identifying 10 distinct clusters of tumor-infiltrating immune cells

2023-09-27 | E-MTAB-13300 | biostudies-arrayexpress

Spatially variant immune infiltration scoring in human cancer tissues

Project description:The Immunoscore is a method to quantify the immune cell infiltration within cancers to predict the disease prognosis. Previous immune profiling approaches relied on limited immune markers to establish patients’ tumor immunity. However, immune cells exhibit a higher-level complexity that is typically not obtained by the conventional immunohistochemistry methods. Herein, we present a spatially variant immune infiltration score, termed as SpatialVizScore, to quantify immune cells infiltration within lung tumor samples using multiplex protein imaging data. Imaging mass cytometry (IMC) was used to target 26 markers in tumors to identify stromal, immune, and cancer cell states within 26 human tissues from lung cancer patients. Unsupervised clustering methods dissected the spatial infiltration of cells in tissue using the high-dimensional analysis of 16 immune markers and other cancer and stroma enriched labels to profile alterations in the tumors’ immune infiltration patterns. Spatially resolved maps of distinct tumors determined the spatial proximity and neighborhoods of immune-cancer cell pairs. These SpatialVizScore maps provided a ranking of patients’ tumors consisting of immune inflamed, immune suppressed, and immune cold states, demonstrating the tumor’s immune continuum assigned to three distinct infiltration score ranges. Several inflammatory and suppressive immune markers were used to establish the cell-based scoring schemes at the single-cell and pixel-level, depicting the cellular spectra in diverse lung tissues. Thus, SpatialVizScore is an emerging quantitative method to deeply study tumor immunology in cancer tissues.

2022-10-14 | PXD035340 | Pride

KDM5A inhibits anti-tumor immune response through downregulation of antigen presentation pathway in ovarian cancer [CUT&RUN]

Project description:The infiltration of effector CD8+ T cells into tumors is one of the major predictors of clinical outcome for epithelial ovarian cancer (EOC) patients. Immune cell infiltration is a complex process that could be affected by the epigenetic makeup of the tumor. Here, we demonstrate that a lysine 4 histone H3 (H3K4) demethylase KDM5A impairs immune cell infiltration and inhibits anti-tumor immune response. Mechanistically, KDM5A silences genes involved in antigen processing and presentation pathway. Antigen processing and presentation is a critical step that is required for CD8+ T cells infiltration and activation of CD8+ T cell mediated anti-tumor immune response. KDM5A inhibition restores the expression of antigen presentation pathway in vitro and promotes anti-tumor immune response mediated by CD8+ T cells in vivo in a syngeneic EOC mouse model. Notably, a negative correlation between expression of KDM5A and genes involved in antigen processing and presentation pathway such as HLA-A and HLA-B is observed in the majority of cancer types. In summary, our results establish KDM5A as a regulator of CD8+ T cells tumor infiltration and demonstrate that KDM5A inhibition is a novel therapeutic strategy aiming to boost anti-tumor immune response.

2022-05-02 | GSE194359 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data