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Evolution of core archetypal phenotypes in high-grade serous ovarian cancer (HGSOC)

ABSTRACT: Evolution of core archetypal phenotypes in high-grade serous ovarian cancer (HGSOC)

PROVIDER: PRJNA666354 | ENA |

REPOSITORIES: ENA

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Single-cell RNA sequencing samples from high-grade serous ovarian cancer (HGSOC)

Project description:We measured gene expression in single-cell RNA sequencing samples from patients with high-grade serous ovarian cancer (HGSOC), for a study on improving HGSOC subtype definition by taking into account varying cell type proportions within tumors.

2020-10-03 | GSE158937 | GEO

LncRNA and mRNA expression profiles in High-grade serous ovarian cancer, Low-grade serous ovarian cancer and Normal fallopian tube

Project description:Ovarian cancer is the most lethal gynecologic cancer. High-grade serous ovarian carcinoma (HGSOC) is the most common histologic subtype, accounting for three quarters of ovarian cancer. To clarify the changes of gene expression in serous ovarian cancer, we performed lncRNA and mRNA microarrays to identify differentially expressed lncRNAs and mRNAs in High-grade and Low-grade serous ovarian carcinoma compared with Normal fallopian tube.

2020-02-12 | GSE135886 | GEO

microRNA profiling of serum microRNA from high grade serous ovarian carcinoma

Project description:High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecologic neoplasm, with five-year survival rate below 30%. Early disease detection is of utmost importance to improve the cure rate of HGSOC. Liquid biopsies are now becoming a new paradigm to develop novel biomarkers with diagnostic and prognostic purposes. The focus of this study was to detect the levels of circulating miRNAs in tissues and sera from patients with HGSOC and to evaluate their diagnostic value. To this end, an array-based discovery platform, followed by an innovative statistical approach of data normalization, was exploited, to identify miRNA species selectively expressed in serum of patients with HGSOC. Sera from 106 high grade serous ovarian carcinoma (HGSOC) and 24 healthy controls were used for profiling serum microRNA using a modified version of a commercially available microarray, with the aim of identifying differentially expressed microRNA between tumor patients and healthy controls.

2017-01-30 | E-MTAB-4667 | biostudies-arrayexpress

Evolution of core archetypal phenotypes in high-grade serous ovarian cancer (HGSOC)

Project description:24 malignant fluid samples were collected from 9 high-grade ovarian cancer patients at various time points over the course of chemotherapy. Additionally, an independent cohort of 8 malignant fluid samples were collected from pre-treatment patients and 7 samples from post-treatment patients. Single-cell RNA sequencing (scRNA-seq) was performed using 10X or iCell8 technologies.

2021-02-09 | GSE158722 | GEO

Proteomic analysis of tumor tissues form high-grade serous ovarian cancer patients

Project description:In the present project, in order to explore the molecular basis of platinum resistance and further determine potential biomarkers and therapeutic targets for high-grade serous ovarian cancer (HGSOC), we conducted a comparative proteomic analysis to identify the differentially expressed proteins between tumor tissues from platinum-sensitive and platinum-resistant HGSOC patient groups.

2021-09-30 | PXD028225 |

Evaluation of Tumor Infiltrating Lymphocytes in High-Grade Serous Ovarian Cancer

Project description:Tumor infiltrating lymphocytes (TILs) play a significant role in the tumor microenvironment in high-grade serous ovarian cancer (HGSOC). To better understand the interactions and functions of TILs in HGSOC progression, we performed proteogenomic profiling of TILs in 65 tumors collected from 12 HGSOC patients.

2024-03-15 | PXD045710 | Pride

Single-cell RNA sequencing samples from high-grade serous ovarian cancer (HGSOC)

Project description:Single-cell RNA sequencing samples from high-grade serous ovarian cancer (HGSOC)

| PRJNA667060 | ENA

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

Project description:Differ from the aggressive nature of HGSOC (high grade serous ovarian cancer), LGSOC (low grade serous ovarian cancer) is characterized by an early age of disease onset, slow growth pattern, and poor response to chemotherapy. To understand more specifically the underlying gene profiling discrepancy that contributes to their behavior distinction, we performed parallel gene expression profiling in 9 magnetic sorted tumor cells samples from matched primary tumors, ascites and metastases of 3 LGSOC patients as in HGSOC. By comparing the expression data among primary tumor cells, ascitic tumor cells and metastasis tumor cells, we identified a set of differential expressed genes along LGSOC progression. Further study revealed that the gene phenotype perturbance along LGSOC progression was quite different from that of HGSOC patients. We used microarrays to profile the expression of 9 matched tumor cells samples in order to identify molecular alteration between primary tumor cells, ascitic tumor cells and metastatic tumor cells in low grade serous ovarian cancer.

2017-12-19 | GSE73091 | GEO

RNA-seq of isolated tumor cells from high grade serous ovarian cancer (HGSOC) patients

Project description:RNA-seq of isolated tumor cells from high grade serous ovarian cancer (HGSOC) patients

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Transformation of Human Fallopian Tube Stem Cells and high grade serous ovarian cancer

Project description:High-grade serous ovarian cancer (HGSOC) progresses to advanced stages without symptoms and the 5-year survival rate is a dismal 30%. Recent studies of ovaries and oviducts in patients with BRCA mutations revealed that premalignant HGSC is found almost exclusively in the fallopian tube. To validate this notion, we cloned and transformed the fallopian tube stem cells (FTSC). We demonstrated that the tumors derived from the transformed fallopian tube stem cells (FTSCt) share the similar histological and molecular feature of high-grade serous cancer. In addition, a whole-genome transcriptome analysis comparing between FTSC, immortalized fallopian tube stem cells (FTSCi), and FTSCt showing a clear molecular progression, which is mimicked by the gene expression comparison between laser captured normal oviducts and HGSOC ( cancer and paired normal samples from 10 patients).

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