Evidence map›Paper›PMID 41644787›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

An integrative genomic analysis of angiogenesis in hepatocellular carcinoma: from canonical drivers to emerging biomarkers.

Suryaa Manoharan, Viswaganesh Venkatesan, Ekambaram Perumal

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In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Suryaa ManoharanMolecular Toxicology Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, 641 046, India.
Viswaganesh VenkatesanMolecular Toxicology Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, 641 046, India.
Ekambaram PerumalMolecular Toxicology Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, 641 046, India. ekas2009@buc.edu.in.

Funding

ANRF-IRG Scheme ANRF/IRG/2024/001655/LSASEAN-India Collaborative R&D Scheme CRD/2024/000898Council of Scientific and Industrial Research, India 111-2536-319/2K23/1Department of Biotechnology, Ministry of Science and Technology BT/HRD/01/10/2020Indian Council of Medical Research 5/8-4/15/Env/2020-NCD-II
6 · The paper itself

Abstract

Angiogenesis, the production of new blood capillaries from pre-existing vasculature, is an important mechanism necessary for cancer progression and metastasis. This process may be regulated by the balance of pro-angiogenic and anti-angiogenic factors. The disruption of this balance leads to the induction of angiogenesis. Thus, there is a high necessity to identify these angiogenesis-related genes. In this study, we have used GeneCards database to obtain a list of angiogenesis-related genes followed by construction of protein-protein interaction (PPI) network using STRING database. Out of 37 angiogenesis-related genes, a single-gene cluster containing 27 genes was identified using MCODE analysis. The top ten hub genes were identified as FGF2, HIF1A, VEGFC, VEGFA, MMP9, THBS1, MMP2, KDR, IL6, and NOS, which were further analyzed. FunRich application was used to perform gene enrichment analysis and identify top interactors by constructing an interaction map. PPI map of each individual hub gene was constructed using search tool for the retrieval of interacting genes/proteins (STRING) database. The expression levels of each individual hub gene in HCC (liver hepatocellular carcinoma-LIHC dataset) and normal tissue were analyzed using the gene expression profiling interactive analysis 2 (GEPIA2) portal. The prognostic value of the hub genes was analyzed using Kaplan-Meier survival plot. The translational-level expression was analyzed using the IHC section images from the Human Protein Atlas (HPA) database. Thus, targeting these factors for therapy, diagnosis, or prognosis could be a key strategies in the field of oncology.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsNeovascularization, PathologicGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHumansProtein Interaction MapsBiomarkers, TumorAngiogenesis markersHepatocellular carcinomaHub genesIntegrated analysisProtein–protein interaction network

Identifiers

PMID41644787

What OpenQuestion holds

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Registered trials

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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.