Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background: Mucinous adenocarcinoma (MuC), a colorectal cancer (CRC) subtype, exhibits distinct molecular features and poorer response to chemoradiotherapy than non-mucinous adenocarcinoma (NMuC). Conventional treatments often fail to address CRC heterogeneity, particularly in stage II disease. Therefore, improved biomarkers for risk stratification and personalised treatment are needed.
Methods: We analysed gene expression and mutation data from 259 CRC samples to identify characteristics of MuC. A 23-gene risk score (MuC-RS) was developed and validated across four independent cohorts (n = 1157). Statistical analyses, including generalised linear model likelihood ratio tests, Kaplan-Meier curves, log-rank tests, and Cox regression models, evaluated the prognostic utility of the MuC-RS.
Results: MuC showed significant upregulation of fibroblast-associated genes, pathways related to epithelial-mesenchymal transition, and mucin glycosylation. The MuC-RS effectively stratified patients into high-risk (MuC-H) and low-risk (MuC-L) groups, with multivariate analysis confirming its prognostic value (HR = 1.72, 95% CI = 1.31-2.25, P < 0.001). Stage II MuC-L patients had poorer outcomes after conventional chemotherapy, but responded better to immune checkpoint inhibitors (ICIs), linked to higher tumour mutation burden and immune activation.
Conclusions: The MuC-RS effectively predicts recurrence and guides personalised treatment in CRC, particularly benefiting stage II MuC patients through improved risk stratification and treatment selection.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12405609 | PMC |
http://dx.doi.org/10.1038/s41416-025-03104-3 | DOI Listing |