Background: Lynch syndrome (LS) is under-diagnosed. UK National Institute for Health and Care Excellence guidelines recommend multistep molecular testing of all colorectal cancers (CRCs) to screen for LS. However, the complexity of the pathway has resulted in limited improvement in diagnosis.
Methods: One-step multiplex PCR was used to generate sequencing-ready amplicons from 14 microsatellite instability (MSI) markers and 22 , , and mutation hotspots. MSI and variants were detected using amplicon-sequencing and automated analysis. The assay was clinically validated and deployed into service in northern England, followed by regional and local audits to assess its impact.
Results: MSI analysis achieved 99.1% sensitivity and 99.2% specificity and was reproducible (r = 0.995). Mutation hotspot analysis had 100% sensitivity, 99.9% specificity, and was reproducible (r = 0.998). Assay-use in service in 2022-2023 increased CRC testing (97.2% (2466/2536) versus 28.6% (601/2104)), halved turnaround times, and identified more CRC patients at-risk of LS (5.5% (139/2536) versus 2.9% (61/2104)) compared to 2019-2020 when a multi-test pathway was used.
Conclusion: A novel amplicon-sequencing assay of CRCs, including all biomarkers for LS screening and anti-EGFR therapy, achieved >95% testing rate. Adoption of this low cost, scalable, and fully automatable test will complement on-going, national initiatives to improve LS screening.
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http://dx.doi.org/10.1038/s44276-024-00072-8 | DOI Listing |
Sci Rep
December 2024
Department of Internal Medicine, Jeju National University Hospital, Jeju-si, South Korea.
Gastric carcinoma with lymphoid stroma (GCLS) is characterized by dense intra-and peritumoral lymphocytic infiltration and a high rate of Epstein Barr Virus (EBV) infection, suggesting being a promising candidate for immunotherapy. We investigated correlations between PD-L1 expression and clinicopathologic factors, including EBV positivity and microsatellite instability (MSI) status in GCLSs. The study included resected 214 GCLSs and 300 gastric adenocarcinomas (GACs) for control.
View Article and Find Full Text PDFCancer Genomics Proteomics
December 2024
Department of Medicine, Division of Medical Oncology, School of Medicine, Showa University, Tokyo, Japan;
Background/aim: The Kaplan-Meier curves for patients treated with immune checkpoint inhibitors (ICIs) display a small group of potentially-cured patients with long-term survival, creating a 'kangaroo-tail' shape of the survival curve. However, the mechanistic basis of this phenomenon and what occurs in patients whose cancer is resistant to ICIs remain unclear. The present study aimed to answer these questions.
View Article and Find Full Text PDFJ Pers Med
December 2024
Global Medical and Scientific Affairs, MSD, Mexico City 01090, Mexico.
: Mismatch repair (MMR) status is an important prognostic and predictive indicator in cancer, distinguishing proficient (pMMR) tumors from deficient (dMMR) ones. This study aimed to determine the prevalence of dMMR in colorectal (CRC) and selected non-CRC solid tumors (gastric, esophageal, and endometrial cancers). : This retrospective study was conducted at a private health institution in Mexico City, analyzing patients diagnosed with colorectal, gastric, esophageal, or endometrial cancer from January 2017 to December 2020.
View Article and Find Full Text PDFCurr Issues Mol Biol
November 2024
Department of Medical and Molecular Biology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 19 Jordana, 41-808 Zabrze, Poland.
SIGLEC9 (sialic acid-binding Ig-like lectin 9) is a molecule thought to have a significant influence on the immune properties of the colorectal cancer (CRC) tumor microenvironment (TME). In our study, we assessed the expression of the SIGLEC9 protein in CRC tissue and the surgical margin tissue. Using RT-PCR, we analyzed mutations in the KRAS, NRAS, BRAF, PIK3CA, and AKT genes.
View Article and Find Full Text PDFOpen Med (Wars)
December 2024
Department of Immunology, Basic Medical Institute, Chengde Medical College, Chengde 067000, Hebei, China.
Background: Microsatellite instability (MSI) significantly impacts treatment response and outcomes in colon cancer; however, its underlying molecular mechanisms remain unclear. This study aimed to identify prognostic biomarkers by comparing MSI and microsatellite stability (MSS).
Methods: Data from the GSE39582 dataset downloaded from the Gene Expression Omnibus database were analyzed for differentially expressed genes (DEGs) and immune cell infiltration between MSI and MSS.
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