Project description:Transcriptional profiling of early-onset sporadic rectal adenocarcinoma, comparing Wnt- and Wnt+ rectal tumor. Goal was to determine differentially expressed genes between them based on global gene expression.
Project description:Copy number profiling of early-onset sporadic rectal adenocarcinoma, comparing Wnt- and Wnt+ rectal tumor. Goal was to determine differentially altered genes between them based on global copy no.
Project description:Early-onset sporadic rectal cancer (EOSRC) is a unique and predominant colorectal cancer
(CRC) subtype in India. To identify molecular alterations underlying rectal adenocarcinoma, we performed whole-exome sequencing analysis of 47 carefully selected well-annotated microsatellite stable (MSS) rectal tumor and matched normal sample pairs (EOSRC-IN).
Project description:The incidence of sporadic early-onset colon cancer (EOCC) has increased worldwide. The molecular mechanisms in the tumor and the tumor microenvironment in EOCC are not fully understood. The aim of this study is to unravel unique spatial transcriptomic and proteomic profiles in tumor epithelial cells and cancer-associated fibroblasts (CAFs). Sporadic colon cancer FFPE tissue samples were divided into patients diagnosed with EOCC (<50 yrs) and late-onset colon cancer (LOCC, ≥50 yrs). A total of 13 LOCC and 13 EOCC patients that were analyzed using HTG EdgeSeq Precision Immuno-Oncology Panel. The data generated was combined with in silico analysis and functional assays to characterize FAP(+) CAFs at the EOCC tumor invasive margin.
Project description:The incidence of sporadic early-onset colon cancer (EOCC) has increased worldwide. The molecular mechanisms in the tumor and the tumor microenvironment in EOCC are not fully understood. The aim of this study is to unravel unique spatial transcriptomic and proteomic profiles in tumor epithelial cells and cancer-associated fibroblasts (CAFs). Sporadic colon cancer FFPE tissue samples were divided into patients diagnosed with EOCC (<50 yrs) and late-onset colon cancer (LOCC, ≥50 yrs). Spatial transcriptomic analysis of 112 areas of interest (AOIs) were performed using Nanostring GeoMx digital spatial profiling. The data generated was combined with in silico analysis and functional assays to characterize FAP(+) CAFs at the EOCC tumor invasive margin.
Project description:<p>Compelling evidence established the gut microbiota as a pivotal regulator of colorectal cancer (CRC) progression, although stage-specific mechanisms remain unclear. Our investigation in Apcmin/+ mice mapped tumor growth and microbial shifts across early, intermediate, and advanced stages. In Apcmin/+ mice, tumor growth exhibited an initial rapid phase followed by a gradual deceleration. Our study elucidated a niche complementarity model of gut microbiota in suppressing CRC progression: both critical gut bacteria (Akkermansia muciniphila, Muribaculaceae and other taxa) and their enzymes (hexosaminidase and SusD) exhibited the relay pattern in metabolizing intestinal mucin and producing N-acetylglucosamine (GlcNAc). Furthermore, rectal administration of GlcNAc suppressed Wnt/β-catenin signaling activation, might potentially contributing to the deceleration of tumor growth in the mid-to-late stages of cancer. This interplay between gut bacteria may reflect the significance of functional redundancy in maintaining the stability of microbial function.</p>
