Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Immunotherapies that repolarize macrophages and regulatory T cells enhance the effect of chemotherapy in high-grade serous ovarian cancer (Human)

ABSTRACT: We conducted single-cell RNA sequencing (scRNAseq) of tumor-infiltrating immune cells in high-grade serous ovarian cancer (HGSOC) omental biopsies to identify potential targets that could enhance response to neo-adjuvant chemotherapy (NACT). Analysis of 64,097 cells identified NACT-induced overexpression of stabilin-1 (clever-1) on macrophages and FOXP3 in Tregs and these were validated at the protein level. STAB1 inhibition in vitro induced anti-tumor macrophages. FOXP3 anti-sense oligonucleotide (FOXP3-ASO), repolarised Tregs to an effector T cell phenotype. ScRNAseq on 69,781 cells from an HGSOC syngeneic mouse model recapitulated the patients’ data. Combining chemotherapy with anti-stabilin1 antibody and/or Foxp3-ASO significantly increased survival of mice with established peritoneal disease in two HGSOC syngeneic models and progression-free survival in a third model. Long-term survivors (300 days+) were resistant to tumor rechallenge. Anti-stabilin1 antibody enriched the tumors with CXCL9+ macrophages and Foxp3-ASO increased TBET cell infiltration. Our results suggest targeting these molecules may improve chemotherapy response in patients.

ORGANISM(S): Homo sapiens

PROVIDER: GSE224392 | GEO | 2024/10/11

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Immunotherapies that repolarize macrophages and regulatory T cells enhance the effect of chemotherapy in high-grade serous ovarian cancer

Project description:We conducted single-cell RNA sequencing (scRNAseq) of tumor-infiltrating immune cells in high-grade serous ovarian cancer (HGSOC) omental biopsies to identify potential targets that could enhance response to neo-adjuvant chemotherapy (NACT). Analysis of 64,097 cells identified NACT-induced overexpression of stabilin-1 (clever-1) on macrophages and FOXP3 in Tregs and these were validated at the protein level. STAB1 inhibition in vitro induced anti-tumor macrophages. FOXP3 anti-sense oligonucleotide (FOXP3-ASO), repolarised Tregs to an effector T cell phenotype. ScRNAseq on 69,781 cells from an HGSOC syngeneic mouse model recapitulated the patients’ data. Combining chemotherapy with anti-stabilin1 antibody and/or Foxp3-ASO significantly increased survival of mice with established peritoneal disease in two HGSOC syngeneic models and progression-free survival in a third model. Long-term survivors (300 days+) were resistant to tumor rechallenge. Anti-stabilin1 antibody enriched the tumors with CXCL9+ macrophages and Foxp3-ASO increased TBET cell infiltration. Our results suggest targeting these molecules may improve chemotherapy response in patients.

2024-10-13 | GSE224091 | GEO

Immunotherapies that repolarize macrophages and regulatory T cells enhance the effect of chemotherapy in high-grade serous ovarian cancer (Mouse)

2024-10-11 | GSE224389 | GEO

Proteomic Alterations Associated with Residual Disease in Neoadjuvant Chemotherapy Treated Ovarian Cancer Tissues

Project description:Optimal cytoreduction to no residual disease (R0) correlates with improved disease outcome in the management of high-grade serous ovarian cancer (HGSOC) patients. Neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) offers an alternate approach to management of HGSOC patients to achieve complete resection. This study assessed proteomic alterations in matched, chemotherapy naïve and NACT-treated patients tumors obtained from HGSOC patients with suboptimal (R1) versus optimal (R0) debulking at IDS. We describe distinct proteome profiles in pre- and post-NACT HGSOC tumors correlating with residual disease status providing prognostic biomarkers for residual disease at IDS as well as candidate proteins associated with NACT resistance warranting further pre-clinical investigation.

2022-10-05 | PXD031929 | Pride

In vitro FOXP3 knockdown in human PBMCs

Project description:Human FOXP3 antisense oligonucleotides (ASOs) target effects in primary iTregs gene expression. Tregs were isolated from human PBMCs from 5 different donors, subjected to one of 4 different treatments: (1) Untreated, (2) Control ASO 792169, (3) FOXP3 ASO 910959, (4) FOXP3 ASO 910956 under either stimulation with aCD3/aCD28 coated beads or left unstimulated.

2024-01-08 | E-MTAB-11589 | biostudies-arrayexpress

Neoadjuvant chemotherapy modulates T cell responses in high-grade serous ovarian cancer metastases

Project description:Our data suggest that neoadjuvant chemotherapy enhances anti-cancer responses of T cells in peritoneal metastases of patients with high-grade serous ovarian cancer but does not decrease levels of immune checkpoint molecules, providing a rationale for sequential chemo-immunotherapy. tRNA was isolated from 35 omental tissue samples of HGSOC metastases either pre or post NACT treatment. RNASeq was performed on poly-A selected mRNA fragments, 100 b.p paired end, and strand specific, on average 40 million reads per sample.

2016-07-27 | E-GEOD-71340 | biostudies-arrayexpress

Molecular Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma

Project description:While high-grade serous ovarian carcinoma (HGSOC) is the most common histological subtype of ovarian cancer, significant tumor heterogeneity exists. In addition, chemotherapy induces changes in gene expression and alters the mutational profile. To evaluate the notion that patients with HGSOC could be better classified for optimal treatment based on gene expression, we compared genetic variants (by DNA next-generation sequencing [NGS] using a 50 gene Ion Torrent panel) and gene expression (using the NanoString® PanCancer 770 gene Panel) in the tumor from 20 patients with HGSOC before and after neoadjuvant chemotherapy (NACT). NGS was performed on plasma cell free DNA (cfDNA) on a select group of patients (n=14) in order to assess the utility of using cfDNA to monitor these changes. A total of 86 genes had significant changes in RNA expression after NACT. Thirty-eight genetic variants (including SNPs) from 6 genes were identified in tumors pre-NACT, while 59 variants from 19 genes were detected in the cfDNA. The number of DNA variants were similar after NACT. Of the 59 variants in the plasma pre-NACT, only 6 persisted; whereas 33 of 38 specific variants in the tumor DNA remained unchanged. Pathway analysis showed the most significant alterations in the cell cycle and DNA damage pathways.

2018-02-01 | GSE109934 | GEO

Longitudinal single-cell RNA-seq data of metastatic ovarian cancer

Project description:We characterized transcriptional patterns of chemotherapy resistance in high-grade serous ovarian cancer (HGSOC) using patient-derived prospective tissue sample pairs before and after treatment at single-cell resolution. Our cohort consists of scRNA-seq data from treatment-naïve and post-neoadjuvant chemotherapy (post-NACT) pairs from 11 homogeneously treated HGSOC patients. After quality control, we obtained 51,786 cells, including 8,806 malignant epithelial (tumor), 8,045 stromal and 34,935 immune cells. Our unbiased analysis reveals how chemotherapy modulates cancer cell states by both subclonal selection and microenvironment boosted transcriptional induction across the homogeneously treated sample cohort. Our results define a cell state that allows biomarker-based prediction and targeting of chemoresistance.

2021-12-24 | GSE165897 | GEO

Chemotherapy promotes antigen presentation in monocytes of patients with high-grade serous ovarian carcinoma [RRBS]

Project description:The major aim of our study was to uncover tumor-specific transcriptional and epigenetic changes in peripheral blood monocytes in patients with high-grade serous ovarian cancer (HGSOC). Another key point was to elucidate how chemotherapy can reprogram monocytes and how that relates to changes in other immune subpopulations in the blood. To this end, we performed single-cell RNA sequencing of peripheral blood mononuclear cells (PBMCs) from patients with HGSOC who underwent neoadjuvant chemotherapeutic treatment (NACT) and in treatment-naïve patients. Monocyte cluster was significantly affected by tumor-derived factors as well as by chemotherapeutic impact. Bioinformatical analysis revealed three distinct monocyte subpopulations within PBMCs based on feature gene expression – CD14.Mn.S100A8.9hi, CD14.Mn.MHC2hi and CD16.Mn subsets. The intriguing result was that NACT induced antigen presentation in monocytes by the transcriptional upregulation of MHC class II molecules, but not by epigenetic changes. Increased MHC class II gene expression was a feature observed across all three monocyte subpopulations after chemotherapy. Our data also demonstrated that chemotherapy inhibited interferon-dependent signaling pathways, but activated some TGFb-related genes. Our results can enable personalized decision regarding the necessity to systemically re-educate immune cells to prime ovarian cancer to respond to anti-cancer therapy or to improve personalized prescription of existing immunotherapy in either combination with chemotherapy or a monotherapy regimen.

2024-07-31 | GSE264488 | GEO

Chemotherapy promotes antigen presentation in monocytes of patients with high-grade serous ovarian carcinoma [scRNAseq]

2024-07-31 | GSE264489 | GEO

Gene expression profile of Foxp3 expressing naturally ocurring regulatory macrophages from mice

Project description:Define the genetic profile of naturally occuring regulatory macrophages that express Foxp3 (MacRegs) compared to Foxp3 neg macrophages, to determine candidate genes responsible for their regulatory function. Compare this new cellular population with Tregulatory cells. Two conditions were compared: Fresh CD11b+ F4/80+ FOXP3+ cells (3 independent isolates) and CD11b+ F4/80+ FOXP3- cells (3 independent isolates). MacRegs were also compared to CD4+Foxp3+ Tregs .

2011-04-01 | E-GEOD-23793 | biostudies-arrayexpress

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