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

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE71340 | GEO | 2016/07/27

SECONDARY ACCESSION(S): PRJNA290924

REPOSITORIES: GEO

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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

The impact of neoadjuvant chemotherapy on tumor microenvironment in advanced high-grade serous carcinoma

Project description:High-grade serous ovarian, fallopian tube or peritoneal carcinoma is an aggressive subtype that frequently develops resistance to chemotherapy. It remains controversial whether the resistance is caused by the acquisition of new molecular aberrations or alternatively through the selection of rare preexisting tumor clones. To address this question, we applied single cell RNA sequencing to depict the tumor landscape of a single case of advanced high-grade serous fallopian tube carcinoma during neoadjuvant chemotherapy (NACT).

2022-08-16 | GSE191301 | GEO

Transcriptomes of tumour-associated macrophages from high grade serous ovarian cancer pre- and post-platinum-based neoadjuvant chemotherapy.

Project description:The impact of platinum and taxol based neoadjuvant chemotherapy on tumour-associated macrophages (TAMs) was examined by analysis of TAMs extracted from high grade serous ovarian cancer (HGSOC) samples pre and post chemotherapy.

2021-04-20 | GSE158739 | GEO

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

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

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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

Spatially resolved transcriptomics of high-grade serous ovarian carcinoma

Project description:Bulk and single-cell RNA sequencing do not provide full characterization of tissue spatial diversity in cancer samples, and currently available in situ techniques (multiplex immunohistochemistry, imaging mass cytometry) allow for only limited analysis of a small number of targets. The current study represents the first comprehensive approach to spatial transcriptomics of high-grade serous ovarian carcinoma using intact tumor tissue. We selected a small cohort of patients with highly annotated high-grade serous ovarian carcinoma, categorized them by response to neoadjuvant chemotherapy (poor or excellent), and analyzed pre-treatment tumor tissue specimens. Our study uncovered extensive differences in tumor composition between the poor responders and excellent responders to chemotherapy, related to cell cluster organization and localization. This in-depth characterization of high-grade serous ovarian carcinoma tumor tissue from poor and excellent responders showed that spatial interactions between cell clusters may influence chemo-responsiveness more than cluster composition alone.

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Immunologic adapatations of high grade serous ovarian cancer patients to neoadjuvant carboplatin and paclitaxel therapy

Project description:770 genes as well as pathways and deconvoluted immune cell types were determined pre- and post-neoadjuvant chemotherapy in a cohort of 31 stage III-IV high grade serous ovarian cancer (HGSOC) patients, and associations were made with the duration of their platinum-free interval n/a

2022-09-28 | GSE201600 | GEO

Gene expression profile of tumor cells from primary tumors, ascites and metastases of high grade serous ovarian cancer patients

Project description:HGSOC, the most aggressive form of OC, is characterized by insidious onset, rapid intraperitoneal spread and development of massive ascites. Peritoneal adhesion was considered as the first step of abdominal metastasis, underscoring that only tumor cells gain access to peritoneal adherence contribute to metastasis. Studies on ovarian cancer progression were mainly focused on the primary and metastatic tumor cells, while understanding of the ascitic tumor cells is limited. We hypothesized that uncovering the gene expression profiles of ascitic tumor cells from high grade serous ovarian cancer patients will allow us to understand more specifically their unique phenotype which mediates the peritoneal adhesion. In this study, gene expression profiling was completed for 15 magnetic sorted tumor cells samples from matched primary tumors, ascites and metastases of 5 high grade serous ovarian cancer patients. By comparing the expression data from ascitic tumor cells with primary and metastasis tumor cells, we identified a set of differential expressed genes in ovarian ascitic tumor cells advantageous for peritoneal adhesion and metastasis. Further study revealed that ascites microenvironment modulated the ascitic tumor cells phenotype and contributed to ovarian cancer dissemination through facilitating CAFs in formation of compact spheroids with ascitic tumor cells. We used microarrays to profile the expression of 15 matched tumor cells samples in order to identify molecular alteration between primary tumor cells, ascitic tumor cells and metastatic tumor cells in high grade serous ovarian cancer.

2017-12-19 | GSE73064 | GEO