Evidence map›Paper›PMID 40052147›Full record

ReviewFrontiers in cell and developmental biology2025

NK cells in renal cell carcinoma and its implications for CAR-NK therapy.

Xinwei Li, Yuanpeng Zhang, Yuzhong Ye, Wen Xiao, Lei Liu, Xiaoping Zhang

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 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. Review
  2. Article
  3. Review
  4. Review
  5. 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

6 authors.

Xinwei Li *Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuanpeng Zhang *Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuzhong Ye *Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wen XiaoDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lei LiuDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaoping ZhangDepartment of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is a malignancy that makes up 3% of adult cancers and 20%-30% of patients were diagnosed with metastatic RCC in the beginning, while the median overall survival (OS) of metastatic RCC systemic therapy ranges from 16 months to 50 months. Immunotherapy, a novel therapy that relies on the specific binding of immune cells and tumor cells, may be a potential therapy for advanced renal cell carcinoma. While chimeric antigen receptor NK-cell (CAR-NK) therapy has been investigated in a variety of solid tumors, specific research on its application to RCC has also been reported by several teams. In this review, we introduced the cytotoxicity mechanisms of NK cells, summarized the connections between RCC and NK cells, and posted new insights into renal cell carcinoma CAR-NK therapy. To date, most researches focusing on renal cell carcinoma and NK cells only claimed the mechanisms of NK cell cytotoxicity and NK cell immune suppression and even immune escape, yet the molecules involved could also be interesting targets for renal cell carcinoma CAR-NK therapy.

Indexed as

CAR-NKimmune responseimmunotherapyNK cellrenal cell carcinoma

Identifiers

PMID40052147
PMCPMC11882582

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.