Evidence map›Paper›PMID 33108563›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2021

Development and validation of a novel metabolic signature for predicting prognosis in patients with laryngeal cancer.

Wenfei Li, Min Fu, Kun Zhao, Fang Han, Ning Bu, Zhanqiu Wang

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In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Endolymphatic sac tumor: single-institution series of seven cases with updated review of literature.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
    Review
  2. Letter to the Editor: "Development and validation of a novel metabolic signature for predicting prognosis in patients with laryngeal cancer".European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    Article
  3. Ferroptosis-related genes for predicting prognosis of patients with laryngeal squamous cell carcinoma.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Wenfei Li *Department of Radiology, First Hospital of Qinhuangdao, Wenhua Road 258, Qinhuangdao, 066000, Hebei, China.
Min Fu *Department of Radiology, First Hospital of Qinhuangdao, Wenhua Road 258, Qinhuangdao, 066000, Hebei, China.
Kun ZhaoDepartment of Otolaryngology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.
Fang HanDepartment of Radiology, Affiliated Zhongshan Hospital of DaLian University, Dalian, Liaoning, China.
Ning BuDepartment of Anesthesiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Zhanqiu WangDepartment of Radiology, First Hospital of Qinhuangdao, Wenhua Road 258, Qinhuangdao, 066000, Hebei, China. wangzhanqiu2007@sina.com.ORCID http://orcid.org/0000-0001-9336-170X
First Hospital of Qinhuangdao · CNAffiliated Zhongshan Hospital of Dalian University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDespite advances in the development of treatments for laryngeal cancer (LC), including surgical treatments and radio-chemotherapy, the survival rate of LC remains low. Therefore, novel metabolic signatures are urgently needed to evaluate the prognosis of LC patients.

methodsDifferentially expressed metabolic genes were extracted via bioinformatics analysis from the raw data of The Cancer Genome Atlas and Gene Expression Omnibus (GEO) databases. Univariate Cox regression and LASSO analyses were performed to identify metabolic genes that were significantly correlated with overall survival (OS). Using the Kaplan-Meier analysis and receiver operating characteristics, the prognostic power of candidate signatures was evaluated in the two databases. Gene Set Enrichment Analysis (GSEA) was performed to explore significant signaling pathways and underlying mechanisms in the high- and low-risk groups.

resultsThirteen metabolism genes showed superior ability to predict OS for LC when compared to clinical variables, and patients in the high-risk group showed significantly poorer OS than those in the low-risk group. The area under the curve of receiver operating curves for 5- and 3-year OS was 0.929 and 0.899, respectively, which were better than the OS obtained with clinicopathological variables. Similar results obtained in the GEO cohort indicated that this gene signature could differentiate between LC patients with and without recurrence.

conclusionTo our knowledge, this study is the first to report that the 13 metabolic genes could serve as an independent biomarker for LC, which could provide vital prognostic information and prediction for personalized treatment of LC.

Indexed as

Laryngeal NeoplasmsBiomarkers, TumorHumansKaplan-Meier EstimateNeoplasm Recurrence, LocalPrognosisBiomarkers, TumorBioinformaticsGEOLaryngeal cancerMetabolic geneTCGA

Identifiers

PMID33108563
OpenAlexW3095608860

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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.