Evidence map›Paper›PMID 36879187›Full record

ArticleBMC bioinformatics2023

Establishment of a prognostic signature for lung adenocarcinoma using cuproptosis-related lncRNAs.

Saiyidan Yalimaimaiti, Xiaoqiao Liang, Haili Zhao, Hong Dou, Wei Liu, Ying Yang, Li Ning

Abstract read
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Article in BMC bioinformatics, 2023. 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
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Saiyidan YalimaimaitiSchool of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.
Xiaoqiao LiangSchool of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.
Haili ZhaoSchool of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.
Hong DouXinjiang Uygur Autonomous Region Occupational Disease Hospital, Urumqi, 830011, Xinjiang, China.
Wei LiuXinjiang Uygur Autonomous Region Occupational Disease Hospital, Urumqi, 830011, Xinjiang, China.
Ying YangSchool of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, China.
Li NingSchool of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, China. nl96979@163.com.

Funding

the Natural Science Foundation of Xinjiang Uygur Autonomous Region 2020D01C152
6 · The paper itself

Abstract

objectiveTo establish a prognostic signature for lung adenocarcinoma (LUAD) based on cuproptosis-related long non-coding RNAs (lncRNAs), and to study the immune-related functions of LUAD.

methodsFirst, transcriptome data and clinical data related to LUAD were downloaded from the Cancer Genome Atlas (TCGA), and cuproptosis-related genes were analyzed to identify cuproptosis-related lncRNAs. Univariate COX analysis, least absolute shrinkage and selection operator (LASSO) analysis, and multivariate COX analysis were performed to analyze the cuproptosis-related lncRNAs, and a prognostic signature was established. Second, univariate COX analysis and multivariate COX analysis were performed for independent prognostic analyses. Receiver operating characteristic (ROC) curves, C index, survival curve, nomogram, and principal component analysis (PCA) were performed to evaluate the results of the independent prognostic analyses. Finally, gene enrichment analyses and immune-related function analyses were also carried out.

results(1) A total of 1,297 cuproptosis-related lncRNAs were screened. (2) A LUAD prognostic signature containing 13 cuproptosis-related lncRNAs was constructed (NIFK-AS1, AC026355.2, SEPSECS-AS1, AL360270.1, AC010999.2, ABCA9-AS1, AC032011.1, AL162632.3, LINC02518, LINC0059, AL031600.2, AP000346.1, AC012409.4). (3) The area under the multi-indicator ROC curves at 1, 3, and 5 years were AUC1 = 0.742, AUC2 = 0.708, and AUC3 = 0.762, respectively. The risk score of the prognostic signature could be used as an independent prognostic factor that was independent of other clinical indicators. (4) The results of gene enrichment analyses showed that 13 biomarkers were primarily related to amoebiasis, the wnt signaling pathway, hematopoietic cell lineage. The ssGSEA volcano map showed significant differences between high- and low-risk groups in immune-related functions, such as human leukocyte antigen (HLA), Type_II_IFN_Reponse, MHC_class_I, and Parainflammation (P < 0.001).

conclusionsThirteen cuproptosis-related lncRNAs may be clinical molecular biomarkers for the prognosis of LUAD.

Indexed as

AdenocarcinomaApoptosisRNA, Long NoncodingCopperHumansLungNomogramsPrognosisCopperRNA, Long NoncodingBiomarkerCopper deathLncRNALung adenocarcinomaPrognostic signature

Identifiers

PMID36879187
PMCPMC9990240

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