Aims: The incidence of RAS/RAF/PI3KA and TP53 gene mutations in colorectal cancer (CRC) is well established. Less information, however, is available on other components of the CRC genomic landscape, which are potential CRC prognostic/predictive markers.
Methods: Following a previous validation study, ion-semiconductor next-generation sequencing (NGS) was employed to process 653 routine CRC samples by a multiplex PCR targeting 91 hotspot regions in 22 CRC significant genes.
Results: A total of 796 somatic mutations in 499 (76.4%) tumours were detected. Besides RAS/RAF/PI3KA and TP53, other 12 genes showed at least one mutation including FBXW7 (6%), PTEN (2.8%), SMAD4 (2.1%), EGFR (1.2%), CTNNB1 (1.1%), AKT1 (0.9%), STK11 (0.8%), ERBB2 (0.6%), ERBB4 (0.6%), ALK (0.2%), MAP2K1 (0.2%) and NOTCH1 (0.2%).
Conclusions: In a routine diagnostic setting, NGS had the potential to generate robust and comprehensive genetic information also including less frequently mutated genes potentially relevant for prognostic assessments or for actionable treatments.
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http://dx.doi.org/10.1136/jclinpath-2015-203403 | DOI Listing |
Blood
January 2025
Memorial Sloan Kettering Cancer Center, New York, New York, United States.
A mixed phenotype is characteristic of de novo Mixed Phenotype Acute Leukemia (MPAL) but can also be seen in other leukemias. It poses substantial classification and management dilemmas. Herein, we report a large cohort of acute leukemia with a mixed phenotype and define Acute Myeloid Leukemia with Mixed Phenotype (AML-MP) and MPAL as two distinct groups by characterizing the clinical, genetic, and transcriptomic features.
View Article and Find Full Text PDFCurr Pharm Biotechnol
January 2025
Department of Intensive Care Unit, Affiliated Hospital of Guangdong Medical University, 524000 Zhanjiang, China.
Objectives: This study aimed to comprehensively investigate the molecular landscape of gastric cancer (GC) by integrating various bioinformatics tools and experimental validations.
Methodology: GSE79973 dataset, limma package, STRING, UALCAN, GEPIA, OncoDB, cBioPortal, DAVID, TISIDB, Gene Set Cancer Analysis (GSCA), tissue samples, RT-qPCR, and cell proliferation assay were employed in this study.
Results: Analysis of the GSE79973 dataset identified 300 differentially expressed genes (DEGs), from which COL1A1, COL1A2, CHN1, and FN1 emerged as pivotal hub genes using protein-protein interaction network analysis.
Curr Pharm Des
January 2025
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Jazan University, P.O. Box 114 (Postal Code: 45142), Jazan, Kingdom of Saudi Arabia.
Aims: This study aims to identify and evaluate promising therapeutic proteins and compounds for breast cancer treatment through a comprehensive database search and molecular docking analysis.
Background: Breast cancer (BC), primarily originating from the terminal ductal-lobular unit of the breast, is the most prevalent form of cancer globally. In 2020, an estimated 2.
Cancer Med
January 2025
Department of Pharmacology, College of Pharmacy, Jinan University, Guangzhou, China.
Background: Distinctive heterogeneity characterizes diffuse large B-cell lymphoma (DLBCL), one of the most frequent types of non-Hodgkin's lymphoma. Mitochondria have been demonstrated to be closely involved in tumorigenesis and progression, particularly in DLBCL.
Objective: The purposes of this study were to identify the prognostic mitochondria-related genes (MRGs) in DLBCL, and to develop a risk model based on MRGs and machine learning algorithms.
Heliyon
January 2025
Department of Zoology, The University of Burdwan, West Bengal, India.
Thalassemia is a hematological disorder caused by mutations in the hemoglobin gene, often necessitating regular blood transfusions. These frequent transfusions exert continuous pressure on patients' immune systems. Despite extensive research on the hematological aspects of thalassemia, few studies have explored the immune status of these patients.
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