PMID- 36879187
OWN - NLM
STAT- MEDLINE
DCOM- 20230309
LR  - 20230309
IS  - 1471-2105 (Electronic)
IS  - 1471-2105 (Linking)
VI  - 24
IP  - 1
DP  - 2023 Mar 6
TI  - Establishment of a prognostic signature for lung adenocarcinoma using 
      cuproptosis-related lncRNAs.
PG  - 81
LID - 10.1186/s12859-023-05192-5 [doi]
LID - 81
AB  - OBJECTIVE: To 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. METHODS: First, 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). CONCLUSIONS: 
      Thirteen cuproptosis-related lncRNAs may be clinical molecular biomarkers for the 
      prognosis of LUAD.
CI  - (c) 2023. The Author(s).
FAU - Yalimaimaiti, Saiyidan
AU  - Yalimaimaiti S
AD  - School of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, 
      China.
FAU - Liang, Xiaoqiao
AU  - Liang X
AD  - School of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, 
      China.
FAU - Zhao, Haili
AU  - Zhao H
AD  - School of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, 
      China.
FAU - Dou, Hong
AU  - Dou H
AD  - Xinjiang Uygur Autonomous Region Occupational Disease Hospital, Urumqi, 830011, 
      Xinjiang, China.
FAU - Liu, Wei
AU  - Liu W
AD  - Xinjiang Uygur Autonomous Region Occupational Disease Hospital, Urumqi, 830011, 
      Xinjiang, China.
FAU - Yang, Ying
AU  - Yang Y
AD  - School of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, 
      China.
FAU - Ning, Li
AU  - Ning L
AD  - School of Public Health, Xinjiang Medical University, Urumqi, 830011, Xinjiang, 
      China. nl96979@163.com.
LA  - eng
GR  - 2020D01C152/the Natural Science Foundation of Xinjiang Uygur Autonomous Region/
GR  - 2020D01C152/the Natural Science Foundation of Xinjiang Uygur Autonomous Region/
GR  - 2020D01C152/the Natural Science Foundation of Xinjiang Uygur Autonomous Region/
GR  - 2020D01C152/the Natural Science Foundation of Xinjiang Uygur Autonomous Region/
GR  - 2020D01C152/the Natural Science Foundation of Xinjiang Uygur Autonomous Region/
PT  - Journal Article
DEP - 20230306
PL  - England
TA  - BMC Bioinformatics
JT  - BMC bioinformatics
JID - 100965194
RN  - 0 (RNA, Long Noncoding)
RN  - 789U1901C5 (Copper)
SB  - IM
MH  - Humans
MH  - *Adenocarcinoma
MH  - Lung
MH  - Nomograms
MH  - Prognosis
MH  - *RNA, Long Noncoding/genetics
MH  - Copper
MH  - *Apoptosis
PMC - PMC9990240
OTO - NOTNLM
OT  - Biomarker
OT  - Copper death
OT  - LncRNA
OT  - Lung adenocarcinoma
OT  - Prognostic signature
COIS- The authors declare that they have no competing interests.
EDAT- 2023/03/07 06:00
MHDA- 2023/03/09 06:00
PMCR- 2023/03/06
CRDT- 2023/03/06 23:27
PHST- 2022/11/18 00:00 [received]
PHST- 2023/02/20 00:00 [accepted]
PHST- 2023/03/06 23:27 [entrez]
PHST- 2023/03/07 06:00 [pubmed]
PHST- 2023/03/09 06:00 [medline]
PHST- 2023/03/06 00:00 [pmc-release]
AID - 10.1186/s12859-023-05192-5 [pii]
AID - 5192 [pii]
AID - 10.1186/s12859-023-05192-5 [doi]
PST - epublish
SO  - BMC Bioinformatics. 2023 Mar 6;24(1):81. doi: 10.1186/s12859-023-05192-5.