PMID- 36245844
OWN - NLM
STAT- MEDLINE
DCOM- 20221018
LR  - 20221019
IS  - 1748-6718 (Electronic)
IS  - 1748-670X (Print)
IS  - 1748-670X (Linking)
VI  - 2022
DP  - 2022
TI  - Construction of Prognostic Risk Model for Small Cell Lung Cancer Based on 
      Immune-Related Genes.
PG  - 7116080
LID - 10.1155/2022/7116080 [doi]
LID - 7116080
AB  - Small cell lung cancer (SCLC) is a highly invasive and fatal malignancy. Research 
      at the present stage implied that the expression of immune-related genes is 
      associated with the prognosis in SCLC. Accordingly, it is essential to explore 
      effective immune-related molecular markers to judge prognosis and treat SCLC. Our 
      research obtained SCLC dataset from Gene Expression Omnibus (GEO) and subjected 
      mRNAs in it to differential expression analysis. Differentially expressed mRNAs 
      (DEmRNAs) were intersected with immune-related genes to yield immune-related 
      differentially expressed genes (DEGs). The functions of these DEGs were revealed 
      by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) 
      enrichment analyses. Thereafter, we categorized 3 subtypes of immune-related DEGs 
      via K-means clustering. Kaplan-Meier curves analyzed the effects of 3 subtypes on 
      SCLC patients' survival. Single-sample gene set enrichment analysis (ssGSEA) and 
      ESTIMATE validated that the activation of different immune gene subtypes differed 
      significantly. Finally, an immune-related-7-gene assessment model was constructed 
      by univariate-Lasso-multiple Cox regression analyses. Riskscores, Kaplan-Meier 
      curves, receiver operating characteristic (ROC) curves, and independent 
      prognostic analyses validated the prognostic value of the immune-related-7-gene 
      assessment model. As suggested by GSEA, there was a prominent difference in 
      cytokine-related pathways between high- and low-risk groups. As the analysis went 
      further, we discovered a statistically significant difference in the expression 
      of human leukocyte antigen (HLA) proteins and costimulatory molecules expressed 
      on the surface of CD274, CD152, and T lymphocytes in different groups. In a word, 
      we started with immune-related genes to construct the prognostic model for SCLC, 
      which could effectively evaluate the clinical outcomes and offer guidance for the 
      treatment and prognosis of SCLC patients.
CI  - Copyright (c) 2022 Feng Deng et al.
FAU - Deng, Feng
AU  - Deng F
AUID- ORCID: 0000-0001-6151-2526
AD  - Thoracic Surgery Jiangyin Hospital Affiliated to Nanjing University of Chinese 
      Medicine, Jiangsu, China.
FAU - Tao, Feng
AU  - Tao F
AUID- ORCID: 0000-0003-0924-1006
AD  - Thoracic Surgery Jiangyin Hospital Affiliated to Nanjing University of Chinese 
      Medicine, Jiangsu, China.
FAU - Xu, Zhili
AU  - Xu Z
AUID- ORCID: 0000-0002-8078-5076
AD  - Thoracic Surgery Jiangyin Hospital Affiliated to Nanjing University of Chinese 
      Medicine, Jiangsu, China.
FAU - Zhou, Jun
AU  - Zhou J
AUID- ORCID: 0000-0002-5538-2734
AD  - Thoracic Surgery Jiangyin Hospital Affiliated to Nanjing University of Chinese 
      Medicine, Jiangsu, China.
FAU - Gong, Xiaowei
AU  - Gong X
AUID- ORCID: 0000-0002-4400-2898
AD  - Thoracic Surgery Jiangyin Hospital Affiliated to Nanjing University of Chinese 
      Medicine, Jiangsu, China.
FAU - Zhang, Ruhu
AU  - Zhang R
AUID- ORCID: 0000-0001-9283-5758
AD  - Thoracic Surgery Jiangyin Hospital Affiliated to Nanjing University of Chinese 
      Medicine, Jiangsu, China.
LA  - eng
PT  - Journal Article
DEP - 20220930
PL  - United States
TA  - Comput Math Methods Med
JT  - Computational and mathematical methods in medicine
JID - 101277751
RN  - 0 (Cytokines)
SB  - IM
MH  - Cytokines/genetics
MH  - Gene Expression Profiling
MH  - Gene Expression Regulation, Neoplastic
MH  - Gene Regulatory Networks
MH  - Humans
MH  - *Lung Neoplasms/metabolism
MH  - Prognosis
MH  - *Small Cell Lung Carcinoma/genetics
PMC - PMC9554662
COIS- The authors report no conflict of interest.
EDAT- 2022/10/18 06:00
MHDA- 2022/10/19 06:00
PMCR- 2022/09/30
CRDT- 2022/10/17 04:20
PHST- 2022/07/21 00:00 [received]
PHST- 2022/08/30 00:00 [revised]
PHST- 2022/09/07 00:00 [accepted]
PHST- 2022/10/17 04:20 [entrez]
PHST- 2022/10/18 06:00 [pubmed]
PHST- 2022/10/19 06:00 [medline]
PHST- 2022/09/30 00:00 [pmc-release]
AID - 10.1155/2022/7116080 [doi]
PST - epublish
SO  - Comput Math Methods Med. 2022 Sep 30;2022:7116080. doi: 10.1155/2022/7116080. 
      eCollection 2022.