Evidence map›Paper›PMID 41300975›Full record

ReviewCancers2025

Gene Therapy Strategies for Hepatocellular Carcinoma (HCC): Current Landscape and Future Directions.

Ali Gawi Ermi, Rabha M Younis, Kayla Rodriguez, Devanand Sarkar

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Ali Gawi ErmiDepartment of Cellular, Molecular and Genetic Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.ORCID 0000-0002-5973-8347
Rabha M YounisDepartment of Cellular, Molecular and Genetic Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA.
Kayla RodriguezMassey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA.
Devanand SarkarDepartment of Cellular, Molecular and Genetic Medicine, Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA 23298, USA.ORCID 0000-0003-0973-2323

Funding

NIH HHS 1R01CA230561-05NIH HHS 5P01CA275740-02NIH HHS 5R01CA244993-05
6 · The paper itself

Abstract

The liver is the primary metabolic organ in the body, metabolizing nutrients and drugs. Advanced liver diseases result in compromised metabolic function of the liver. These diseases are often difficult to treat with drugs because of inability of the liver to generate effective drug metabolites and/or to properly inactivate the drugs resulting in high drug-induced toxicity with subsequent reduced patient compliance. Hepatocellular carcinoma (HCC) is a disease that develops on a fibrotic/cirrhotic liver and is mostly diagnosed at an advanced stage. Current protocol for treating advanced HCC includes a combination of immunotherapy or tyrosine kinase inhibitors (TKIs), which provides a survival benefit of only ~2 years. In addition, immunotherapy is effective in only 27% of HCC patients and patients treated with TKIs invariably develop drug resistance within 6 months. In this scenario gene therapy serves as an alternative approach that might bring significant benefits to HCC patients. Although gene therapy approaches for HCC or other liver diseases have yet to obtain approval from the Food and Drug Administration (FDA), a significant advancement has been made over the years in this field. In this review article, we highlight very recent literature showing the promise of gene therapy in managing HCC patients, extending survival benefits and providing improved quality of life.

Indexed as

CAR-Tclinical trialsCRISPR/Cas9gene therapyHCCnanoparticlesviruses

Identifiers

PMID41300975
PMCPMC12651357

What OpenQuestion holds

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Registered trials

None linked

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.