ArticleAging2022
Establishment and validation of individualized clinical prognostic markers for LUAD patients based on autophagy-related genes.
Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Targeting NLRC4 for potential therapeutic strategies in lung adenocarcinoma.Discover oncology · 2025Article
- Mitochondrial autophagy-related lncRNAs as prognostic biomarkers and therapeutic targets in gastric adenocarcinoma.Discover oncology · 2025Article
- Establishment and Validation of Lactate Metabolism-Related Genes as a Prognostic Model for Gastric Cancer.Current molecular medicine · 2025Article
- Prognostic and immunotherapeutic implications of bilirubin metabolism-associated genes in lung adenocarcinoma.Journal of cellular and molecular medicine · 2024Article
- The bioinformatics analysis and experimental validation of the carcinogenic role of EXO1 in lung adenocarcinoma.Frontiers in oncology · 2024Article
- Implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma.NPJ precision oncology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is considerable heterogeneity in the genomic drivers of lung adenocarcinoma, which has a dismal prognosis. Bioinformatics analysis was performed on lung adenocarcinoma (LUAD) datasets to establish a multi-autophagy gene model to predict patient prognosis. LUAD data were downloaded from The Cancer Genome Atlas (TCGA) database as a training set to construct a LUAD prognostic model. According to the risk score, a Kaplan-Meier cumulative curve was plotted to evaluate the prognostic value. Furthermore, a nomogram was established to predict the three-year and five-year survival of patients with LUAD based on their prognostic characteristics. Two genes (ITGB1 and EIF2AK3) were identified in the autophagy-related prognostic model, and the multivariate Cox proportional risk model showed that risk score was an independent predictor of prognosis in LUAD patients (HR=3.3, 95%CI= 2.3 to 4.6,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.