Evidence map›Paper›PMID 35300428›Full record

ArticleFrontiers in cell and developmental biology2022

An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Squamous Carcinoma.

Wen-Yu Zhai, Fang-Fang Duan, Si Chen, Jun-Ye Wang, Ze-Rui Zhao, Yi-Zhi Wang, Bing-Yu Rao, Yao-Bin Lin, Hao Long

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 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
2.1field-weighted citation impact, top 13% 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, 20 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

9 authors at 2 institutions in 1 country.

Wen-Yu ZhaiState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Fang-Fang DuanState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Si ChenState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jun-Ye WangState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Ze-Rui ZhaoState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yi-Zhi WangState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Bing-Yu RaoState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yao-Bin LinState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Hao LongState Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is an inevitable process characterized by a decline in many physiological activities, and has been known as a significant risk factor for many kinds of malignancies, but there are few studies about aging-related genes (ARGs) in lung squamous carcinoma (LUSC). We designed this study to explore the prognostic value of ARGs and establish an ARG-based prognosis signature for LUSC patients. RNA-sequencing and corresponding clinicopathological data of patients with LUSC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The ARG risk signature was developed on the basis of results of LASSO and multivariate Cox analysis in the TCGA training dataset (

Indexed as

aginganti-tumor immune cells infiltrationlung squamous carcinoma (LUSC)prognostic signaturerisk stratification

Identifiers

PMID35300428
PMCPMC8921527
OpenAlexW4214730943

What OpenQuestion holds

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LicenceCC BY
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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.