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Discovery of RNA Biomarkers for Prostate Cancer Using Cross-Platform Transcriptomics.
- Source :
-
International journal of molecular sciences [Int J Mol Sci] 2024 Nov 06; Vol. 25 (22). Date of Electronic Publication: 2024 Nov 06. - Publication Year :
- 2024
-
Abstract
- Microarray and Single-Molecule Molecular Inversion Probe (smMIP)-based targeted RNA sequencing are two RNA profiling platforms for identifying disease-associated biomarkers. The microarray uses a GeneChip array with oligonucleotide probes to measure expression levels across thousands of genes, while smMIPs capture and quantify RNA transcripts and transcript variants via next-generation sequencing. To evaluate the strengths and weaknesses of both platforms, a comparative gene expression profiling study was conducted using RNA samples from 52 prostate tissues (normal, benign prostatic hyperplasia (BPH) and various prostate cancer (PCa) grades). Of all genes covered by both platforms, only 35% of the expression levels aligned, with 45% showing discrepancies. Both platforms identified the same 17 genes as potential PCa biomarkers. Microarray analysis identified an additional 253 genes that were not covered or not identified by smMIP technology, while smMIP technology identified eight markers not covered or not identified in the microarray core gene analysis, including fusion genes and splice variants. For high-grade prostate cancer (HG-PCa), the smMIP-method identified 8 markers, and the microarray identified 17 markers, with FOLH1, FAP and CLDN3 being common across both platforms. The choice of RNA expression analysis technology depends on research objectives; microarray technology is useful for the evaluation of a wide range of genes but has low throughput. In contrast, smMIP-based RNA sequencing enables sensitive analysis with minimal RNA in a medium- to high-throughput setting.
- Subjects :
- Male
Humans
Transcriptome
Oligonucleotide Array Sequence Analysis methods
Gene Expression Regulation, Neoplastic
High-Throughput Nucleotide Sequencing methods
Sequence Analysis, RNA methods
Prostatic Hyperplasia genetics
Prostatic Hyperplasia metabolism
RNA genetics
Prostatic Neoplasms genetics
Prostatic Neoplasms metabolism
Biomarkers, Tumor genetics
Gene Expression Profiling methods
Subjects
Details
- Language :
- English
- ISSN :
- 1422-0067
- Volume :
- 25
- Issue :
- 22
- Database :
- MEDLINE
- Journal :
- International journal of molecular sciences
- Publication Type :
- Academic Journal
- Accession number :
- 39595976
- Full Text :
- https://doi.org/10.3390/ijms252211907