Evidence map›Paper›PMID 35399245›Full record

ArticleJournal of thoracic disease2022

Prognostic significance of pyroptosis-related factors in lung adenocarcinoma.

Ximing Lin, Tian Zhou, Shaopu Hu, Lihui Yang, Zepei Yang, Haoyue Pang, Xiangnan Zhou, Ruikang Zhong, Xueni Fang, Zhongyang Yu and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Ximing LinGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Tian ZhouDepartment of Oncology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Shaopu HuGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Lihui YangGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Zepei YangGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Haoyue PangGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Xiangnan ZhouGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Ruikang ZhongGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Xueni FangGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Zhongyang YuGraduate School, Beijing University of Chinese Medicine, Beijing, China.
Kaiwen HuDepartment of Oncology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Numerous studies have revealed that the abnormal expression of pyroptosis-related genes is closely related to the prognosis of lung adenocarcinoma (LUAD); however, a comprehensive analysis has yet to be conducted. This study aimed to reveal the influence of pyroptosis-related genes on the prognosis of LUAD and establish a prognostic model based on those genes, in order to evaluate the prognosis of LUAD. Methods: The data of tumor and normal samples were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Differential analysis was used to identify pyroptosis-related genes (obtained from the GeneCards database) that were differentially expressed (DE) in TCGA database. Univariate and stepwise multivariate Cox proportional hazards regression analyses were used to screen feature genes related to LUAD overall survival (OS) and construct gene signature. Gene set enrichment analysis (GSEA) was then performed to reveal potential functions related to gene signature. Finally, the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm was used to reveal distinctions in each cell-subtype groups in the immune landscape of LUAD. Results: Overall, 26 DE genes (DEGs) associated with pyroptosis were obtained. Among them, 4 ( Conclusions: The key biomarkers and pathways identified in this study would deepen the comprehension of the molecular mechanism of pyroptosis in LUAD. More importantly, the 4-gene signature may serve as a novel potential prognostic model for LUAD.

Indexed as

gene signatureimmune landscapelung adenocarcinoma (LUAD)prognosisPyroptosis-related genes

Identifiers

PMID35399245
PMCPMC8987830
OpenAlexW4223542175

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.