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Global gene expression profiles in ovarian cancer linked to Lynch syndrome

ABSTRACT: Heredity is a major cause of ovarian cancer. Lynch syndrome is associated with 10-12% risk of ovarian cancer, diagnosis at young age and a predilection for endometrioid and clear cell tumors. Global gene expression profiling applied to 25 Lynch syndrome-associated and 42 sporadic ovarian cancers revealed 335 differentially expressed genes and involvement of the mTOR and the MAPK/ERK pathways. The clear cell tumors had distinct expression profiles with upregulation of HER2 and apoptosis signaling pathways. The distinct expression profiles provide clues relevant for hereditary tumorigenesis and may be relevant for therapeutic strategies and refined diagnostics in ovarian cancer linked to Lynch syndrome.

ORGANISM(S): Homo sapiens

PROVIDER: GSE37394 | GEO | 2013/10/14

SECONDARY ACCESSION(S): PRJNA161517

REPOSITORIES: GEO

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Global gene expression profiles in ovarian cancer linked to Lynch syndrome

Project description:Heredity is a major cause of ovarian cancer. Lynch syndrome is associated with 10-12% risk of ovarian cancer, diagnosis at young age and a predilection for endometrioid and clear cell tumors. Global gene expression profiling applied to 25 Lynch syndrome-associated and 42 sporadic ovarian cancers revealed 335 differentially expressed genes and involvement of the mTOR and the MAPK/ERK pathways. The clear cell tumors had distinct expression profiles with upregulation of HER2 and apoptosis signaling pathways. The distinct expression profiles provide clues relevant for hereditary tumorigenesis and may be relevant for therapeutic strategies and refined diagnostics in ovarian cancer linked to Lynch syndrome. Ovarian cancers linked to Lynch syndrome (n=25) were compared to a matched series of sporadic ovarian cancers (n=42), selected from a population-based consecutive series in which hereditary was excluded based on family history, normal MMR protein staining and lack of mutations in BRCA1 and BRCA2.

2013-10-14 | E-GEOD-37394 | biostudies-arrayexpress

Expression of immune-related genes in the normal colorectal mucosa and colorectal carcinoma samples from Lynch syndrome individuals

Project description:Colorectal carcinomas arising in the context of Lynch syndrome, the most common inherited cancer syndrome, typically show deficiency of the DNA MMR (mismatch repair) system. Lack of functional MMR leads to accumulation of frameshift mutations at micosatellites (microsatellite instability, MSI). High load of highly immunogenic tumor-specific frameshift neoantigens results in strong immune response against Lynch syndrome MSI cancers. Previous studies have shown systemic immune responses against frameshift neoantigens in Lynch syndrome carriers long before tumor manifestation. In the present study, we analyzed the immune profile of normal colorectal mucosa in Lynch syndrome carriers without current or previous cancer history and in Lynch syndrome colorectal cancer patients, as well as of Lynch syndrome colorectal carcinomas. The unsupervised cluster analysis of gene expression data revealed a sharp differentiation between normal mucosa from Lynch syndrome individuals with and without manifest cancer as well as between normal mucosa in general and Lynch syndrome cancer tissue. Deconvolution analysis for predicting the prevalence of immune cell population among the three groups revealed 10 out of 14 investigated populations to be significantly different between the three tissue types (FDR=10%). In contrast to normal mucosa samples, tumor tissue showed overrepresentation of immune-suppressive cell populations, such as regulatory T cells and neutrophils. Taken together with the quantitative T cell density analysis on the basis of immunohistochemical T cell stainings, our data show strong immune infiltration of the normal colorectal mucosa in Lynch syndrome individuals even in the absence of a manifest cancer.

2022-03-14 | GSE178516 | GEO

Molecular subtype classification of urothelial carcinoma in Lynch syndrome

Project description:We aimed to provide a molecular description of Lynch syndrome-associated urothelial cancer in relation to molecular subtypes of sporadic bladder cancer. Whole genome mRNA expression profiles of 41 tumors and immunohistochemical stainings against FGFR3, KRT5, CCNB1, RB1, and CDKN2A (p16) of 37 tumors from Lynch syndrome patients were generated. Pathological data, microsatellite instability, anatomic location, and overall survival data was analyzed and compared with data from sporadic bladder cancer.

2019-01-01 | GSE104922 | GEO

Genomic profiling of colorectal cancer from patients with Lynch syndrome and Familial colorectal cancer type X with comparison to sporadic microsatelite stable and instable colorectal cancer

Project description:Lynch syndrome and Familial colorectal cancer type X (FCCTX) are clinically diagnosed using the same criteria, but genomic differences exist between these two groups and the genomic profiles share similarities with their sporadic counterparts, mismatch repair (MMR) deficient and proficient tumors, respectively. Array-based comparative genomic hybridization was performed on 91 tumors, comprising 23 Lynch syndrome (AH), 23 FCCTX (AA), 23 sporadic MMR deficient (AM) and 22 sporadic MMR proficient tumors, in order to identify differences between Lynch syndrome and FCCTX.

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Immune Profiling of Premalignant Lesions in Patients with Lynch Syndrome

Project description:mRNA expression from adenomas of patients with Lynch Syndrome and Familial Adenomatous Polyposis

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DNA methylation analysis of ovarian cancers and normal peripheral blood lymphocyte DNA by Illumina Infinium platform

2012-01-01 | GSE26989 | GEO

DNA methylation analysis of ovarian cancers and normal peripheral blood lymphocyte DNA by Illumina Infinium platform

Project description:We performed a genome-scale DNA methylation analysis of 41 ovarian tumors and 10 normal lymphocytic samples. We used the Illumina Infinium HumanMethylation27 Beadchip platform that interrogates the DNA methylation profiles of approximately 27,000 CpGs to identify sensitive markers for ovarian cancer detection. The 41 tumor samples included one mixed (clear cell and endometrioid) tumor, three clear cell carcinomas, four mucinous, four endometrioid, and 32 serous epithelial ovarian carcinomas. The lymphocytic DNA samples were obtained from 10 healthy older women. DNA obtained from 41 ovarian cancer tissue samples and 10 peripheral blood leukocyte (PBL) samples was bisulfite converted and then hybridized to the Illumina Infinium 27k Human Methylation Beadchip v.1.2 biological replicate: sample WBC6, WBC11 biological replicate: sample WBC8, WBC12

2012-01-01 | E-GEOD-26989 | biostudies-arrayexpress

Rare CNVs in Lynch Syndrome patients negative for mutations in mismatch repair genes [Affymetrix]

Project description:Only a small proportion of cases suspected to have Lynch Syndrome (LS) can be explained by mutation in the mismatch repair (MMR) genes. This study aimed to identify rare CNVs that may contribute to an increased risk for hereditary colorectal cancer in patients with MMR proficiency.

2015-11-30 | GSE72667 | GEO

Rare CNVs in Lynch Syndrome patients negative for mutations in mismatch repair genes [Agilent]

2015-11-30 | GSE72665 | GEO

Identification of Novel Therapeutic Targets in Microdissected Clear Cell Ovarian Cancers

Project description:To identify the gene signature accounting for the distinct clinical outcomes in ovarian clear cell cancer patients Clear cell ovarian cancer is an epithelial ovarian cancer histotype that is less responsive to chemotherapy and carries poorer prognosis than serous and endometrioid histotypes. Despite this, patients with these tumors are treated in a similar fashion as all other ovarian cancers. Previous genomic analysis has suggested that clear cell cancers represent a unique tumor subtype. Here we generated the first whole genomic expression profiling using epithelial component of clear cell ovarian cancers and normal ovarian surface specimens isolated by laser capture microdissection. Arrays analyzed using BRB ArrayTools and PathwayStudio software was used to identify the signaling pathways. Gene expression profiling was completed for 10 clear cell ovarian cancer specimens and 10 normal ovarian surface epithelium using the Affymetrix human U133 Plus 2.0 Arrays

2011-05-24 | E-GEOD-29450 | biostudies-arrayexpress

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