Evidence map›Paper›PMID 32655701›Full record

ArticleTherapeutic advances in medical oncology2020

Development and validation of a hypoxia-related gene signature to predict overall survival in early-stage lung adenocarcinoma patients.

Jing Sun, Tianyu Zhao, Di Zhao, Xin Qi, Xuanwen Bao, Run Shi, Chuan Su

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 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

7 authors at 4 institutions in 2 countries.

Jing SunDepartment of Internal Medicine IV, University Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Tianyu ZhaoInstitute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, Ludwig Maximilian University of Munich; Comprehensive Pneumology Center (CPC) Munich, Member DZL; German Center for Lung Research, Munich, Germany.ORCID https://orcid.org/0000-0002-2696-273X
Di ZhaoDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xin QiState Key Lab of Reproductive Medicine, Department of Pathogen Biology and Immunology, Jiangsu Province Key Laboratory of Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Xuanwen BaoInstitute of Radiation Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Technical University of Munich, Munich, Germany.
Run ShiDepartment of Radiation Oncology, University Hospital, Ludwig Maximilian University of Munich, Marchioninistr. No.15, Munich, Bayern 81377, Germany.
Chuan SuState Key Lab of Reproductive Medicine, Department of Pathogen Biology and Immunology, Jiangsu Province Key Laboratory of Pathogen Biology, Center for Global Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu 211166, China.
Helmholtz Zentrum München · DELudwig-Maximilians-Universität München · DENanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with early-stage lung adenocarcinoma (LUAD) exhibit significant heterogeneity in overall survival. The current tumour-node-metastasis staging system is insufficient to provide precise prediction for prognosis.

methodsWe quantified the levels of various hallmarks of cancer and identified hypoxia as the primary risk factor for overall survival in early-stage LUAD. Different bioinformatic and statistical methods were combined to construct a robust hypoxia-related gene signature for prognosis. Furthermore, a decision tree and a nomogram were constructed based on the gene signature and clinicopathological features to improve risk stratification and quantify risk assessment for individual patients.

resultsThe hypoxia-related gene signature discriminated high-risk patients at an early stage in our investigated cohorts. Survival analyses demonstrated that our gene signature served as an independent risk factor for overall survival. The decision tree identified risk subgroups powerfully, and the nomogram exhibited high accuracy.

conclusionsOur study might contribute to the optimization of risk stratification for survival and personalized management of early-stage LUAD.

Indexed as

early-stage lung adenocarcinomagene signaturehypoxiaprognosistherapeutic resistance

Identifiers

PMID32655701
PMCPMC7333486
OpenAlexW3039445960

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.