Basal cell carcinoma (BCC) is the most common cutaneous malignancy that, like other tumours, possesses a heterogeneous genetic composition. In order to select genes with consistent changes in expression among these tumours, we analysed BCC microarray expression data by using a novel approach, termed correlative analysis of microarrays (CAM). CAM is a nested, non-parametric method designed to qualitatively select candidates based on their individual, similar effects upon an array-wide closeness measure. We applied the CAM method to expression data generated by two-channel cDNA microarray experiments, where 21 BCC and patient-matched normal skin specimens were examined. Fifteen candidate genes were selected, with six overexpressed and nine underexpressed in BCC vs. normal skin. Five of the nine consistently downregulated genes in the tumour samples are involved in mitochondrial function and the oxidative phosphorylation (OXPHOS) pathway. One of these genes was the 7.5-kDa subunit, NADH dehydrogenase (ubiquinone) alpha subcomplex-1 (NDUFA1), an accessory component of OXPHOS complex-I that is essential for respiratory activity. These findings support the hypothesis that irregularities in mitochondrial function are involved in neoplasia. Suppression of NDUFA1 expression could represent a key pathogenic mechanism in the development of BCC.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/j.0906-6705.2005.00278.x | DOI Listing |
HGG Adv
January 2025
Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Inherited genetics represents an important contributor to risk of esophageal adenocarcinoma (EAC), and its precursor Barrett's esophagus (BE). Genome-wide association studies have identified ∼30 susceptibility variants for BE/EAC, yet genetic interactions remain unexamined. To address challenges in large-scale G×G scans, we combined knowledge-guided filtering and machine learning approaches, focusing on genes with (A) known/plausible links to BE/EAC pathogenesis (n=493) or (B) prior evidence of biological interactions (n=4,196).
View Article and Find Full Text PDFDiscov Oncol
January 2025
Department of Clinical Laboratory, Laboratory Medicine Center, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Gastric cancer (GC), one of the most common and heterogeneous malignancies, is the second leading cause of cancer death worldwide and is closely related to dietary habits. Fatty acid is one of the main nutrients of human beings, which is closely related to diabetes, hypertension and other diseases. However, the correlation between fatty acid metabolism and the development and progression of GC remains largely unknown.
View Article and Find Full Text PDFNPJ Parkinsons Dis
January 2025
Department of Life Sciences and Medicine (DLSM), University of Luxembourg, Belvaux, Luxembourg.
Loss-of-function mutations in PARK7, encoding for DJ-1, can lead to early onset Parkinson's disease (PD). In mice, Park7 deletion leads to dopaminergic deficits during aging, and increased sensitivity to oxidative stress. However, the severity of the reported phenotypes varies.
View Article and Find Full Text PDFMob DNA
January 2025
Department of Biology, La Sierra University, Riverside, CA, USA.
Background: Messenger RNA 3' untranslated regions (3'UTRs) control many aspects of gene expression and determine where the transcript will terminate. The polyadenylation signal (PAS) AAUAAA (AATAAA in DNA) is a key regulator of transcript termination and this hexamer, or a similar sequence, is very frequently found within 30 bp of 3'UTR ends. Short interspersed element (SINE) retrotransposons are found throughout genomes in high copy numbers.
View Article and Find Full Text PDFInt Immunopharmacol
January 2025
Department of Transfusion Medicine, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou 225300, Jiangsu, China. Electronic address:
Objective: The objective of this study was to rigorously investigate and elucidate the genetic mechanisms underlying the formation of the RH blood group in a specific case and to systematically analyse the RH blood group genes among the family members of the proband.
Methods: Serological methods were used to determine the RH blood group phenotype of the proband. To elucidate the underlying genetic mechanism responsible for the RH phenotype, a comprehensive approach was undertaken, including RHCE genotyping, sequencing of RHD and RHCE genes, and exon sequencing of RHAG.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!