Aim: We examined corpus cancer to identify whether there are distinctive patterns of global gene expression and microsatellite instability, and to gain molecular understanding of its carcinogenesis and progression.

Methods: Thirty endometrioid corpus cancer tissue samples (21 of G1 and nine of G2/3) were analyzed by cDNA microarray based on 637 cancer-associated genes and by a polymerase chain reaction method for microsatellite instability.

Result: Of the 30 cases, 10 (33%) were recognized as having microsatellite instability. In all cases, four genes were overexpressed and five genes were underexpressed. There were six microsatellite instability-specific overexpressed or high-frequency genes and 15 underexpressed or low-frequency genes. Furthermore, we identified several genes by grade analysis.

Conclusions: These results may be useful resources for the development of diagnostic assays, prognostic factors, or therapeutic targets for corpus endometrioid cancer.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1447-0756.2009.01142.xDOI Listing

Publication Analysis

Top Keywords

microsatellite instability
12
gene expression
8
corpus endometrioid
8
corpus cancer
8
genes underexpressed
8
genes
6
microsatellite
5
expression profiles
4
profiles microsatellite
4
instability uterine
4

Similar Publications

Cytosolic DNA composition is determined by genomic instability mechanism and regulates dendritic cell-mediated anti-tumor immunity.

Cell Rep

January 2025

Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, AB T6G 1Z2, Canada; Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2R3, Canada. Electronic address:

Patients with colorectal cancers (CRCs) that have microsatellite instability (MSI) (MSI CRCs) face a better prognosis than those with the more common chromosomal instability (CIN) subtype (CIN CRCs) due to improved T cell-mediated anti-tumor immune responses. Previous investigations identified the cytosolic DNA (cyDNA) sensor STING as necessary for chemokine-mediated T cell recruitment in MSI CRCs. Here, we find that cyDNA from MSI CRC cells is inherently more capable of inducing STING activation and improves cytotoxic T cell activation by dendritic cells (DCs).

View Article and Find Full Text PDF

Rare cancers present significant challenges in diagnosis, treatment, and research, accounting for up to 25% of global cancer cases. Due to their rarity and atypical presentations, they are often misdiagnosed, resulting in late-stage detection and poor outcomes. Here, we describe a patient case with advanced metastatic nasopharynx NUT carcinoma, one of the rarest and most aggressive cancers.

View Article and Find Full Text PDF

Exploring the potential of advanced artificial intelligence technology in predicting microsatellite instability (MSI) and Ki-67 expression of endometrial cancer (EC) is highly significant. This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. A retrospective study included 156 EC patients who were subsequently categorized into MSI and Ki-67 groups.

View Article and Find Full Text PDF

To investigate the expression pattern of pan-TRK protein in colorectal cancers with NTRK gene fusion and mismatch repair deficient (dMMR) and to analyze its molecular pathological characteristics. A total of 117 dMMR colorectal cancers diagnosed in the Department of Pathology of Henan Provincial People's Hospital, Zhengzhou, China from 2020 to 2023 were collected. Immunohistochemistry (IHC), fluorescence in situ hybridization (FISH) and DNA/RNA-based next-generation sequencing (NGS) were used to detect pan-TRK protein expression and fusion partner genes in tumors, and to further explore the correlation between pan-TRK staining patterns and partner genes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!