Evidence map›Paper›PMID 40678800›Full record

ArticleBiochemistry and biophysics reports2025

Comprehensive transcriptomic analysis of hepatocellular Carcinoma: Uncovering shared and unique molecular signatures across diverse etiologies.

Babak Khorsand, Nazanin Naderi, Seyedeh Sara Karimian, Maedeh Mohaghegh, Alireza Aghaahmadi, Seyedeh Negin Hadisadegh, Mina Owrang, Hamidreza Houri

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  5. 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

8 authors.

Babak KhorsandDepartment of Neurology, University of California, Irvine, CA, USA.
Nazanin NaderiDepartment of Cell and Molecular Biology, Faculty of Life Science and Biotechnology, Shahid Beheshti University, Tehran, Iran.
Seyedeh Sara KarimianDepartment of Oncology, University of Alberta, Canada.
Maedeh MohagheghDepartment of Biological Sciences, Islamic Azad University, North Tehran Branch, Tehran, Iran.
Alireza AghaahmadiDepartment of Biology, Islamic Azad University of Central Tehran Branch, Tehran, Iran.
Seyedeh Negin HadisadeghDepartment of Chemistry and Chemical Biology, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Mina OwrangFaculty of Medical Science, Sari Branch, Islamic Azad University, Sari, Iran.
Hamidreza HouriCeliac Disease and Gluten Related Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, often diagnosed at advanced stages where treatment options are limited. This study undertakes a comprehensive meta-analysis of gene expression profiles from 19 independent datasets sourced from the Gene Expression Omnibus (GEO), encompassing a diverse range of HCC etiologies, including HBV and HCV infections, cirrhosis, and normal liver comparisons. Our analysis identified 125 genes consistently altered across all datasets (e.g.,

Indexed as

Differentially expressed genesHepatitis B virusHepatocellular carcinomaLiver cirrhosis

Identifiers

PMID40678800
PMCPMC12269975

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.