Genome-wide association studies have identified several germline single nucleotide polymorphisms (SNPs) significantly associated with colorectal cancer (CRC) incidence. Common germline genetic variation may also be related to CRC survival. We used a discovery-based approach to identify SNPs related to survival outcomes after CRC diagnosis. Genome-wide genotyping arrays were conducted for 3494 individuals with invasive CRC enrolled in six prospective cohort studies (median study-specific follow-up = 4.2-8.1 years). In pooled analyses, we used Cox regression to assess SNP-specific associations with CRC-specific and overall survival, with additional analyses stratified by stage at diagnosis. Top findings were followed-up in independent studies. A P value threshold of P < 5×10(-8) in analyses combining discovery and follow-up studies was required for genome-wide significance. Among individuals with distant-metastatic CRC, several SNPs at 6p12.1, nearest the ELOVL5 gene, were statistically significantly associated with poorer survival, with the strongest associations noted for rs209489 [hazard ratio (HR) = 1.8, P = 7.6×10(-10) and HR = 1.8, P = 3.7×10(-9) for CRC-specific and overall survival, respectively). No SNPs were statistically significantly associated with survival among all cases combined or in cases without distant-metastases. SNPs in 6p12.1/ELOVL5 were associated with survival outcomes in individuals with distant-metastatic CRC, and merit further follow-up for functional significance. Findings from this genome-wide association study highlight the potential importance of genetic variation in CRC prognosis and provide clues to genomic regions of potential interest.
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http://dx.doi.org/10.1093/carcin/bgv161 | DOI Listing |
Mol Biol Rep
January 2025
Department of Molecular Biology Vadi Kampüsü, Istanbul Atlas University, Anadolu Cd., No 40, Kağıthane, Istanbul, 34408, Turkey.
Background: Modulation of protein synthesis according to the physiological cues is maintained through tight control of Eukaryotic Elongation Factor 2 (eEF2), whose unique translocase activity is essential for cell viability. Phosphorylation of eEF2 at its Thr56 residue inactivates this function in translation. In our previous study we reported a novel mode of post-translational modification that promotes higher efficiency in T56 phosphorylation.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Division of Animal Biotechnology, Faculty of Veterinary Sciences & Animal Husbandry, SKUAST-K, Srinagar, India.
Background: The identification of helminth parasites in Schizothorax spp. from Kashmir, including Schyzocotyle acheilognathi, Pomphorhynchus kashmirensis, and Adenoscolex oreini, is hindered by morphological limitations and high intraspecific variation. While previous studies have relied on morphological diagnosis, a comprehensive molecular characterization is lacking.
View Article and Find Full Text PDFNeurogenetics
January 2025
Department of Biomedical Science, Faculty of Medicine, University of Malaya, Kuala Lumpur, 50603, Malaysia.
Intermediate CAG repeats from 29 to 33 in the ATXN2 gene contributes to the risk of amyotrophic lateral sclerosis (ALS) in European and Asian populations. In this study, 148 ALS patients of multiethnic descent: Chinese (56.1%), Malay (24.
View Article and Find Full Text PDFJ Gastrointest Cancer
January 2025
Department of Gastrointestinal Medical Oncology, Oncoclínicas, Florianópolis, SC, Brazil.
Purpose: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with poor response to chemotherapy. High-frequency microsatellite instability (MSI-H) is a rare biological phenomenon in conventional PDAC, being more frequently described in tumors with medullary or mucinous features.
Methods And Results: In this manuscript, we report the case of a patient with an MSI-H pancreatic carcinoma with medullary features (medullary carcinoma of the pancreas-MCP) that achieved a complete pathological response after neoadjuvant modified FOLFIRINOX.
Discov Oncol
January 2025
Department of Medical Imaging, Shenzhen Longhua District Key Laboratory of Neuroimaging, Shenzhen Longhua District Central Hospital, Shenzhen, 518110, China.
Background: Glioblastoma multiforme (GBM) is a highly aggressive brain cancer with poor prognosis and limited treatment options. Despite advances in understanding its molecular mechanisms, effective therapeutic strategies remain elusive due to the tumor's genetic complexity and heterogeneity.
Methods: This study employed a comprehensive analysis approach integrating 113 machine learning algorithms with Mendelian Randomization (MR) analysis to investigate the molecular underpinnings of GBM.
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