Evidence map›Paper›PMID 35029906›Full record

ArticleMedicine2022

Prognosis-related autophagy genes in female lung adenocarcinoma.

Zhongxiang Liu, Koudong Zhang, Zhangyan Zhao, Zhu Qin, Haicheng Tang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
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  9. Article
  10. Article
  11. Review
  12. Investigation of the Mechanism ofInternational journal of general medicine · 2024
    Article
  13. Article
  14. Review
  15. Autophagy dark genes: Can we find them with machine learning?Natural sciences (Weinheim, Germany) · 2023
    Article
  16. Article
  17. Article
  18. The Prognostic Significance ofInternational journal of molecular sciences · 2022
    Article
  19. Article
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

5 authors at 2 institutions in 1 country.

Zhongxiang LiuDepartment of Pulmonary and Critical Care Medicine, Yancheng First People's Hospital, Yancheng, China.
Koudong ZhangDepartment of Pulmonary and Critical Care Medicine, Yancheng First People's Hospital, Yancheng, China.
Zhangyan ZhaoDepartment of Pulmonary and Critical Care Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Zhu QinDepartment of Pulmonary and Critical Care Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Haicheng TangDepartment of Pulmonary and Critical Care Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.ORCID 0000-0002-5270-9965
Shanghai Public Health Clinical Center · CNNantong University · CN

Funding

Shanghai Jinshan Science and Technology Commission 2020-3-04Shanghai Municipal Health Commission 202040332Shanghai Public Health Clinical Center KY-GW-2021-16
6 · The paper itself

Abstract

abstractTo screen the prognosis-related autophagy genes of female lung adenocarcinoma by the transcriptome data and clinical data from The Cancer Genome Atlas (TCGA) database.In this study, screen meaningful female lung adenocarcinoma differential genes in TCGA, use univariate Cox proportional regression model to select genes related to prognosis, and establish the best risk model. In this study, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were applied for carrying out bioinformatics analysis of gene function.The gene expression and clinical data of 264 female lung adenocarcinoma patient samples were downloaded from TCGA. Twelve down-regulated genes: NRG3, DLC1, NLRC4, DAPK2, HSPB8, PPP1R15A, FOS, NRG1, PRKCQ, GRID1, MAP1LC3C, GABARAPL1. Up-regulated 15 genes: PARP1, BNIP3, P4HB, ATIC, IKBKE, ITGB4, VMP1, PTK6, EIF4EBP1, GAPDH, ATG9B, ERO1A, TMEM74, CDKN2A, BIRC5. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis showed that these genes were significantly associated with autophagy and mitochondria (animals). Multifactor Cox analysis of autophagy-related genes showed that ITGA6, ERO1A, FKBP1A, BAK1, CCR2, FADD, EDEM1, ATG10, ATG4A, DLC1, VAMP7, ST13 were identified as independent prognostic indicators. According to the multivariate Cox proportional hazard regression model, there was a significant difference in the survival rate observed between the high-risk group (n = 124) and the low-risk group (n = 126) during the 10-year follow-up (P < .05). Univariate Cox analysis showed that tumor stage, T, M, and N stages, and risk score were all related to the survival rate of female lung adenocarcinoma patients. Multivariate Cox analysis found that autophagy-related risk scores were independent predictors, with an area under curve (AUC) value of 0.842. At last, there is autophagy genes differentially expressed among various clinicopathological parameters: ATG4A, BAK1, CCR2, DLC1, ERO1A, FKBP1A, ITGA6.The risk score can be used as an independent prognostic indicator for female patients with lung adenocarcinoma. The autophagy genes ITGA6, ERO1A, FKBP1A, BAK1, CCR2, FADD, EDEM1, ATG10, ATG4A, DLC1, VAMP7, ST13 were identified as prognostic genes in female lung adenocarcinoma, which may be the targets of treatment in the future.

Indexed as

Adenocarcinoma of LungAutophagyBiomarkers, TumorFemaleHumansLung NeoplasmsPrognosisSurvival RateBiomarkers, Tumor

Identifiers

PMID35029906
PMCPMC8735786
OpenAlexW4205937801

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.