ArticleInternational journal of general medicine2023
A New Risk Score Model Based on Pyrogenic Signatures for the Prediction of Survival and Immune Microenvironment Features in Lung Adenocarcinoma.
Article in International journal of general medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Lung adenocarcinoma (LUAD) accounts for about 40-50% of all lung cancer cases with poor prognoses. Pyroptosis plays important roles in tumor development and anti-tumor processes. This study aims to investigate the prognostic value of pyroptosis-related genes in survival and tumor immune microenvironment (TIME) in LUAD. Patients and Methods: Three datasets were collected, of which 59 normal samples and 513 LUAD samples as experimental group, 163 LUAD samples for validation analysis, and 43 non-small cell lung cancer (NSCLC) samples included in the immunotherapy cohort. A total of 33 pyrolysis-related genes were included in univariate Cox regression analysis. Five pyroptosis-related genes, including NLRC4, NLRP1, NOD1, PLCG1 and CASP9 were screened using Lasso to construct a pyroptosis-related risk score model. Functional enrichment and immune microenvironment analyses were performed. Another 5 tissue samples of LUAD patients were collected for qRT-PCR validation. Results: According to the median risk score, the samples were divided into high-risk group and low-risk group, and the immune cell infiltration in the low-risk group was significantly higher than that in the high-risk group. Then, a nomogram was established based on clinical characteristics and risk score, which demonstrated high accuracy in 1-year OS. The risk score was significantly correlated with overall survival, immune-cell infiltration, and tumor mutation burden (TMB). qRT-PCR results showed that the expression of pyroptosis-related genes in tissues of LUAD patients was consistent with the trend in the experimental group. Conclusion: The risk score model may predict the overall survival of LUAD patients with good accuracy. Our results also demonstrate effectiveness in evaluating the response to immunosuppressive therapy, and may help improve the overall prognosis and treatment outcome of LUAD.
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.