ArticleJournal of translational medicine2024
Identification of fibrosis-associated biomarkers in heart failure and human cancers.
Article in Journal of translational medicine, 2024. 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.
- Large-scale plasma proteomics improves prediction of heart failure among MASLD individuals: A prospective cohort study.American journal of preventive cardiology · 2026Article
- Dual-Metal Regulation of Cardiac Remodeling: Targeting the LOXL2-Ferroptosis Axis in Metal-Induced Cardiac Dysfunction.Cardiovascular toxicology · 2026Review
- Article
- Cardiovascular risk assessment characterized by proteomics in cancer survivors.Communications medicine · 2026Article
- Multi-omics analysis of histidine metabolism reveals FRZB-CRYM-associated cellular crosstalk in heart failure.Frontiers in cardiovascular medicine · 2026Article
- Multicenter machine learning prediction of postoperative heart failure in elderly patients highlighting inflammatory markers, metabolic comorbidities, and perioperative tachycardia.Frontiers in medicine · 2026Article
- Revealing lactylation-mediated mechanisms and hub genes in heart failure pathogenesis.Frontiers in cardiovascular medicine · 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
5 authors.
Funding
Abstract
backgroundHeart failure (HF) and cancer share common risk factors and pathophysiological mechanisms, including fibrosis. Identifying biomarkers and therapeutic targets for both conditions is crucial. MATERIALS AND
methodsRNA sequencing data from HF patients were analyzed to identify 12 genes associated with myocardial fibrosis. Validation was performed using public datasets, and functional enrichment analyses were conducted. Gene expression patterns and prognostic value in various cancers were assessed.
resultsFibromodulin (FMOD), Periostin (POSTN), Latent Transforming Growth Factor Beta Binding Protein 2 (LTBP2), Collagen Type I Alpha 1 Chain (COL1A1), Collagen Type VIII Alpha 1 Chain (COL8A1), Asporin (ASPN), and Hemoglobin Subunit Beta (HBB) showed significant dysregulation in heart failure tissues and were implicated in multiple cancer types. Pan-cancer analysis revealed associations between these genes and prognosis. Correlations with cancer-associated fibroblasts were also observed.
conclusionFMOD, POSTN, LTBP2, COL1A1, COL8A1, ASPN, and HBB are potential biomarkers for HF and cancer with fibrotic microenvironments. Targeting fibrosis may offer novel therapeutic approaches. Further validation and mechanistic studies are needed. This study contributes to understanding HF and cancer at the molecular level and suggests personalized treatment strategies.
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.