Evidence map›Paper›PMID 40591154›Full record

ArticleDiscover oncology2025

Comprehensive characterization of NK cell-related genes in cutaneous melanoma identified a novel prognostic signature for predicting the prognosis, immunotherapy, and chemotherapy efficacy.

Haili Ma, Jian Liu, Huan Jin, Min Zhang, Qian Liang, Zhiqiang Guo

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Haili Ma *Department of Gynecology and Obstetrics, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People's Hospital, Wuxi, 214000, Jiangsu, People's Republic of China.
Jian Liu *Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, People's Republic of China.
Huan JinQingdao Municipal Hospital, Qingdao, 266011, Shandong, People's Republic of China.
Min ZhangDepartment of Radiotherapy, Xiangya Hospital, Central South University, Changsha, 41000, Hunan, People's Republic of China.
Qian LiangDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Zhiqiang GuoDepartment of Otolaryngology-Head and Neck Surgery, QingPu Branch of Zhongshan Hospital Affiliated to Fudan University, 201700, Shanghai, People's Republic of China. gzqhblove@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNatural killer (NK) cells, as key effectors of the innate immune system, play a crucial role in cancer prognosis and immunotherapy. This study aimed to develop a predictive model based on NK cell-associated immune genes (NKIGs) for patients with cutaneous melanoma (CM) and to assess its utility in predicting prognosis and guiding personalized treatment.

methodsRNA-sequencing data and clinical information of CM patients were retrieved from The Cancer Genome Atlas (TCGA) database, while expression profiles from normal skin specimens were obtained from the Genotype-Tissue Expression (GTEx) database. Single-cell transcriptomes from CM were analyzed in conjunction with immune genes to identify NKIGs. These genes were then utilized to construct a prognostic model using univariate Cox regression and LASSO-Cox analysis. The model's accuracy and efficacy were evaluated through various statistical methods. Immunological characteristics, as well as the effectiveness of immunotherapy and chemotherapy in groups defined by the NKIGs signature, were explored. Additionally, the expression levels of NKIGs were validated via RT-qPCR in vitro experiments.

resultsThe overall survival (OS) of patients in the low-risk group, as determined by the NKIGs signature, was significantly better than the high-risk group. The low-risk group also showed higher immune cell infiltration, particularly of CD8 T cells and activated CD4 memory T cells.

conclusionsThis study has established a novel NKIGs signature with significant potential for predicting prognosis and guiding personalized therapeutic approaches in CM patients.

Indexed as

Cutaneous melanomaImmune geneNatural killer (NK) cellsPersonalized therapeutic effectSingle-cell transcriptomes

Identifiers

PMID40591154
PMCPMC12214095

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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.