Evidence map›Paper›PMID 40668523›Full record

ReviewDiscover oncology2025

Natural killer cell therapy in hepatocellular carcinoma: a comprehensive review.

Shirin Tavakoli, Maryam Samareh-Salavati, Mahshid Akhavan Rahnama, Shahrokh Abdolahi, Ali Hassanzadeh, Zeinab Ghazvinian, Javad Verdi, Nasim Vousooghi, Saba Manoochehrabadi, Bahram Chahardouli and 3 more

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

13 authors.

Shirin Tavakoli *Department of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Maryam Samareh-Salavati *Department of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mahshid Akhavan RahnamaCell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran.
Shahrokh AbdolahiBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali HassanzadehDepartment of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Zeinab GhazvinianBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Javad VerdiDepartment of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Nasim VousooghiDepartment of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Saba ManoochehrabadiPediatric Cell and Gene Therapy Research Center, Gene, Cell & Tissue Research Institute, Tehran University of Medical Sciences, Tehran, 14155-6559, Iran.
Bahram ChahardouliCell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran.
Maryam BarkhordarCell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran.
Iman SeyhounDepartment of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran. i.seihoon@gmail.com.
Mohammad AhmadvandCell Therapy and Hematopoietic Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran. ahmadvand.mohamad64@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma remains a major healthcare burden worldwide and is predicted to be the cause of death of 1.3 million people in 2040. Most HCC patients are diagnosed in advanced stages, leading to a poor prognosis. The development of targeted immunotherapies is essential to address this unmet clinical challenge. Natural killer (NK) cells have emerged as a promising cell-based therapeutic approach for treating solid tumors. NK cells have the distinctive ability to identify and destroy cancer cells without requiring prior sensitization. Here, we discuss potential approaches, developing strategies, and current challenges of NK cell therapy reported completely. In addition, advancements in immunotherapy, including adoptive NK cell therapy, and the strategies to boost NK cell function against HCC such as cytokine-based treatments, immune checkpoint inhibitors, vaccine-based approaches, genetic delivery, non-coding RNAs, antibody-based methods, and natural agents have been discussed. This comprehensive study provides a unique perspective by integrating recent findings on the differential impact of NK cells on HCC. We highlight the latest advances in NK cell engineering and immune checkpoint modulation, presenting a comparative analysis of therapeutic strategies. Furthermore, we critically assess the translational challenges associated with NK cell-based therapies, particularly focusing on their limited in vivo persistence and tumor immune evasion strategies.

Indexed as

Cancer therapyHepatocellular carcinomaImmunotherapyNatural killer cellsSolid tumors

Identifiers

PMID40668523
PMCPMC12267803

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.