Evidence map›Paper›PMID 39906665›Full record

ReviewFrontiers in oncology2024

Reversing NK cell exhaustion: a novel strategy combining immune checkpoint blockade with drug sensitivity enhancement in the treatment of hepatocellular carcinoma.

Yuxiang Huang, Hengjian Liao, Jiefu Luo, Huaning Wei, Anling Li, Yujie Lu, Bangde Xiang

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Targeting the COX-2/PGECancer immunology, immunotherapy : CII · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Review
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

7 authors.

Yuxiang HuangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Hengjian LiaoDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Jiefu LuoDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Huaning WeiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Anling LiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Yujie LuDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
Bangde XiangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common lethal cancers worldwide. Natural killer cells (NK cells) play a key role in liver immunosurveillance, but in the tumor microenvironment, NK cells are readily depleted, as evidenced by down-regulation of activating receptors, reduced cytokine secretion, and attenuated killing function. The up-regulation of inhibitory receptors, such as PD-1, TIM-3, and LAG-3, further exacerbates the depletion of NK cells. Combined blockade strategies targeting these immunosuppressive mechanisms, such as the combination of PD-1 inhibitors with other inhibitory pathways (eg. TIM-3 and LAG-3), have shown potential to reverse NK cell exhaustion in preclinical studies. This article explores the promise of these innovative strategies in HCC immunotherapy, providing new therapeutic directions for optimizing NK cell function and improving drug sensitivity.

Indexed as

drug sensitivityhepatocellular carcinomaimmune checkpoint blockadeimmunotherapyNK cell exhaustiononcology drug innovationtumor microenvironment

Identifiers

PMID39906665
PMCPMC11790413

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.