Evidence map›Paper›PMID 36046723›Full record

ArticleJournal of immunology research2022

Heterogeneity in NK Cell Subpopulations May Be Involved in Kidney Cancer Metastasis.

Zhengfang Liang, Fengwei Nong, Jingjie Zhao, Dalong Wei, Qianli Tang, Jian Song, Lingzhang Meng

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. NK cells in renal cell carcinoma and its implications for CAR-NK therapy.Frontiers in cell and developmental biology · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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 at 2 institutions in 1 country.

Zhengfang LiangJinan University, Guangzou, Guangdong Province, China.ORCID https://orcid.org/0000-0003-3750-7238
Fengwei NongCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi Province, China.
Jingjie ZhaoLife Science and Clinical Research Center, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.ORCID https://orcid.org/0000-0002-1582-2053
Dalong WeiBurn Plastic & Trauma Surgery Department, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi Province, China.ORCID https://orcid.org/0000-0003-4236-0074
Qianli TangJinan University, Guangzou, Guangdong Province, China.ORCID https://orcid.org/0000-0001-6721-6824
Jian SongCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi Province, China.ORCID https://orcid.org/0000-0002-2459-7046
Lingzhang MengCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi Province, China.ORCID https://orcid.org/0000-0003-4536-8709
Affiliated Hospital of Youjiang Medical University for Nationalities · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although substantial progress has been made in the immunotherapy of kidney cancer, its efficacy varies from patient to patient, with many responding suboptimally or even developing metastases. Thus, research on the tumour immune microenvironment and immune cell heterogeneity is essential for kidney cancer treatment. In this study, natural killer (NK) cell populations were isolated using signature genes from the single-cell sequencing data of clear cell renal cell carcinoma (ccRCC) and normal kidney tissues and divided into three subpopulations according to the differences in gene expression profiles: NK(GZMH), NK(EGR1), and NK(CAPG). Gene set enrichment analysis revealed that NK(EGR1) and NK(CAPG) were closely related to tumour metastasis, as shown by kidney cancer metastasis to Hodgkin lymphoma, T-cell leukaemia, and Ki-1+ anaplastic large cell lymphoma. Thus, these two NK cell subpopulations are promising targets for inhibiting metastasis in ccRCC. Our findings revealed heterogeneity in the infiltrating NK cells of kidney cancer, which can serve as a reference for the mechanisms underlying metastasis in kidney cancer.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsHumansImmunotherapyKiller Cells, NaturalTumor Microenvironment

Identifiers

PMID36046723
PMCPMC9424044
OpenAlexW4292693580

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.