Evidence map›Paper›PMID 37298537›Full record

ArticleInternational journal of molecular sciences2023

The Novel-Natural-Killer-Cell-Related Gene Signature Predicts the Prognosis and Immune Status of Patients with Hepatocellular Carcinoma.

Minjun Li, Juntao Huang, Guohua Zhan, Yuankuan Li, Chunye Fang, Bangde Xiang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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.

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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

6 authors.

Minjun LiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Juntao HuangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Guohua ZhanDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Yuankuan LiDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Chunye FangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, China.
Bangde XiangDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning 530021, China.

Funding

Guangxi Key Research and Development Program AA18221001, AB18050020Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education GKE-ZZ202215National Natural Science Foundation of China 81960450, 82260573
6 · The paper itself

Abstract

The current understanding of the prognostic significance of natural killer (NK) cells and their tumor microenvironment (TME) in hepatocellular carcinoma (HCC) is limited. Thus, we screened for NK-cell-related genes by single-cell transcriptome data analysis and developed an NK-cell-related gene signature (NKRGS) using multi-regression analyses. Patients in the Cancer Genome Atlas cohort were stratified into high- and low-risk groups according to their median NKRGS risk scores. Overall survival between the risk groups was estimated using the Kaplan-Meier method, and a NKRGS-based nomogram was constructed. Immune infiltration profiles were compared between the risk groups. The NKRGS risk model suggests significantly worse prognoses in patients with high NKRGS risk (

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsDual-Specificity PhosphatasesHumansImmunosuppressive AgentsKiller Cells, NaturalMitogen-Activated Protein Kinase PhosphatasesNomogramsTumor MicroenvironmentDual-Specificity PhosphatasesDUSP10 protein, humanImmunosuppressive AgentsMitogen-Activated Protein Kinase Phosphataseshepatocellular carcinomanatural killer cellprognosis

Identifiers

PMID37298537
PMCPMC10253630

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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.