ArticleMedicine2025
Exploring therapeutic targets for hepatocellular carcinoma through druggable genes.
Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) ranks as the third leading cause of cancer-related mortality worldwide. Mendelian randomization (MR) has emerged as a powerful approach for therapeutic target identification in HCC. In this study, we applied two-sample MR to assess the causal effects of multiple genes on HCC risk. Replication analyses integrated summary-data-based MR, Bayesian co-localization, and protein-protein interaction networks with druggability assessment to prioritize targets. Single-cell RNA sequencing validated cell-type-specific expression patterns in T cells, endothelial cells, and hepatocytes. MR-, summary-data-based MR-, and co-localization-based approaches identified target genes associated with HCC risk, comprising 3 first-level targets (HLA-DPA1, MBTPS1, and TIMP3), 2 second-level targets (TNXB and HSD17B11), and also 4 tertiary targets (HLA-DPB1, PLD2, KLHL8, and TGFBR1). All in all, this research identifies several potential therapeutic targets relevant to the risk of HCC and provides new insights into the identification of therapeutic agents for the treatment of HCC.
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.