ArticleTranslational oncology2025
Mitochondrial ribosomal protein L3 (MRPL3): An early diagnostic biomarker and potential molecular target in pancreatic cancer.
Article in Translational oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Article
- MRPL3 enhances mitochondrial function via the TOMM40/PGC-1α/TFAM axis to drive early recurrence in hepatocellular carcinoma.Cell death & disease · 2026Article
- Biodegradable PCL-PLGA Electrospun Nanofibers for Localized Cancer Therapy.ACS applied bio materials · 2026Article
- Ubiquitination of Oncogenic Mutant p53 via Attenuation of Ribosome Biogenesis Machinery Effectively Inhibits Pancreatic Tumor Growth.Molecular cancer therapeutics · 2026Article
- Article
- MRPL3 is identified as a prognostic biomarker and therapeutic target in lung adenocarcinoma via a lactylation-disulfidptosis gene signature model and experimental validation.Frontiers in immunology · 2026Article
- Expressions, immune associations, and prognostic values of mitochondrial ribosomal protein MRPL3 in the pan cancer landscape.Discover oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Pancreatic cancer (PanCa) is projected to become the second major cause of cancer-related mortality by 2030. The current diagnostic and treatment strategies offer only marginal benefits in overall survival. This highlights the need to discover new biomarkers and targets for the treatment of PanCa. Dysregulated mitochondrial ribosome biogenesis occurs in PanCa and can be utilized as a potential biomarker and molecular target for its management. In this study, we established MRPL3 (Mitochondrial Ribosomal Protein L3) as a potential biomarker and its role in expression of ETC (Electron Transport Chain) components. We employed an integrated approach combining the in silico and experimental validation. Our findings demonstrate that the expression of MRPL3 is upregulated during PanCa in ductal adenocarcinoma and other single cell populations of pancreas. Amongst various grades, the highest expression of MRPL3 was observed in grade 1 human PanCa tumors. MRPL3 is involved in the growth of PanCa cells and the targeted knock-down of MRPL3 leads to decrease in the expression of ETC components. Moreover, in silico analysis identified that MRPL3 undergoes alternative splicing that gives rise to six coding and four non-coding variants. The MRPL3-001 isoform arising from ENSG00000114686.8 variant was found to be the most abundant in PanCa. Pathway enrichment analysis showed that MRPL3 is positively associated with cell growth and proliferation while negatively associated with cell lineage commitment and differentiation. These results represent MRPL3 as a promising early biomarker and molecular target for PanCa which warrant further investigation for its clinical applications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.