Pancreatic cancer (PC) is the most severe and serious deadliest cancer type worldwide. Centromeric proteins (CENPs) family are involved in centromere formation and kinetochore organization during mitosis and play an important role in cancers. Here, we analyzed all CENPs in a panel of PC tissues and non-tumor tissues by genomics profile. We identified that CENPF is significantly upregulated in PC and correlated with poor prognosis of patients. Furthermore, silencing CENPF significantly inhibited PC cell proliferation, migration and epithelial-mesenchymal transition (EMT), and caused cell cycle arrest at the G2/M phase, meanwhile, in vivo growth of pancreatic cells. Moreover, the TNF pathway and longevity regulating pathways are two potential pathways, which were regulated by CENPF. These findings investigated the clinical and functional contribution of CENPF as a novel biomarker for PC.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ygeno.2020.10.039 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Exploring the role of splicing in TP53 variant pathogenicity through predictions and minigene assays.
Hum Genomics
January 2025
Population Health Program, QIMR Berghofer Medical Research Institute, Herston, QLD, 4006, Australia.
Background: TP53 variant classification benefits from the availability of large-scale functional data for missense variants generated using cDNA-based assays. However, absence of comprehensive splicing assay data for TP53 confounds the classification of the subset of predicted missense and synonymous variants that are also predicted to alter splicing. Our study aimed to generate and apply splicing assay data for a prioritised group of 59 TP53 predicted missense or synonymous variants that are also predicted to affect splicing by either SpliceAI or MaxEntScan.
View Article and Find Full Text PDFNetwork analysis combined with genome-wide association study helps identification of genes related to amino acid contents in soybean.
BMC Genomics
January 2025
Department of Horticulture and Crop Science, The Ohio State University, Columbus, OH, 43210, USA.
Background: Additional to total protein content, the amino acid (AA) profile is important to the nutritional value of soybean seed. The AA profile in soybean seed is a complex quantitative trait controlled by multiple interconnected genes and pathways controlling the accumulation of each AA. With a total of 621 soybean germplasm, we used three genome-wide association study (GWAS)-based approaches to investigate the genomic regions controlling the AA content and profile in soybean.
View Article and Find Full Text PDFGene signatures derived from transcriptomic-causal networks stratify colorectal cancer patients for effective targeted therapy.
Commun Med (Lond)
January 2025
Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Background: Gene signatures derived from transcriptomic-causal networks offer potential for tailoring clinical care in cancer treatment by identifying predictive and prognostic biomarkers. This study aimed to uncover such signatures in metastatic colorectal cancer (CRC) patients to aid treatment decisions.
Methods: We constructed transcriptomic-causal networks and integrated gene interconnectivity into overall survival (OS) analysis to control for confounding genes.
Longitudinal genomic profiling using liquid biopsies in metastatic nonsquamous NSCLC following first line immunotherapy.
NPJ Precis Oncol
January 2025
Clinical Pharmacology and Quantitative Science, Genmab Inc, Princeton, NJ, USA.
Tumor genomic profiling is often limited to one or two timepoints due to the invasiveness of tissue biopsies, but longitudinal profiling may provide deeper clinical insights. Using ctDNA data from IMpower150 study, we examined genetic changes in metastatic non-squamous NSCLC post-first-line immunotherapy. Mutations were most frequently detected in TP53, KRAS, SPTA1, FAT3, and LRP1B at baseline and during treatment.
View Article and Find Full Text PDFComplex rearrangements fuel ER and HER2 breast tumours.
Nature
January 2025
Stanford Cancer Institute, School of Medicine, Stanford University, Stanford, CA, USA.
Breast cancer is a highly heterogeneous disease whose prognosis and treatment as defined by the expression of three receptors-oestrogen receptor (ER), progesterone receptor and human epidermal growth factor receptor 2 (HER2; encoded by ERBB2)-is insufficient to capture the full spectrum of clinical outcomes and therapeutic vulnerabilities. Previously, we demonstrated that transcriptional and genomic profiles define eleven integrative subtypes with distinct clinical outcomes, including four ER subtypes with increased risk of relapse decades after diagnosis. Here, to determine whether these subtypes reflect distinct evolutionary histories, interactions with the immune system and pathway dependencies, we established a meta-cohort of 1,828 breast tumours spanning pre-invasive, primary invasive and metastatic disease with whole-genome and transcriptome sequencing.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!