Evidence map›Paper›PMID 37312123›Full record

ArticleWorld journal of surgical oncology2023

5-Methylcytosine-related lncRNAs: predicting prognosis and identifying hot and cold tumor subtypes in head and neck squamous cell carcinoma.

Juntao Huang, Ziqian Xu, Chongchang Zhou, Lixin Cheng, Hong Zeng, Yi Shen

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Integrative machine learning and neural networks for identifying PANoptosis-related lncRNA molecular subtypes and constructing a predictive model for head and neck 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 · 2024
    Article
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

6 authors at 3 institutions in 1 country.

Juntao Huang *Department of Otolaryngology, Head and Neck Surgery, Ningbo Medical Center Lihuili Hospital, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China. 798749265@qq.com.
Ziqian Xu *Department of Dermatology, Ningbo First Hospital, Zhejiang University, Zhejiang, China.
Chongchang ZhouDepartment of Otolaryngology, Head and Neck Surgery, Ningbo Medical Center Lihuili Hospital, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Lixin ChengDepartment of Otolaryngology, Head and Neck Surgery, Ningbo Medical Center Lihuili Hospital, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Hong ZengDepartment of Otolaryngology, Head and Neck Surgery, Ningbo Medical Center Lihuili Hospital, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Yi ShenDepartment of Otolaryngology, Head and Neck Surgery, Ningbo Medical Center Lihuili Hospital, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China. tyzdhs@163.com.
Ningbo Medical Center Lihuili Hospital · CNNingbo University · CNNingbo First Hospital · CN

Funding

National Natural Science Foundation of China 81670920Ningbo Natural Science Foundation 2022J260Ningbo Public Science Research Foundation 2021S170Zhejiang Provincial Medical and Health Science Research Foundation 2020KY274Zhejiang Provincial Medical and Health Science Research Foundation 2022KY1086Zhejiang Provincial Natural Science Foundation LY23H130001
6 · The paper itself

Abstract

background5-Methylcytosine (m

methodsRNA sequencing and related information were obtained from the TCGA database, and patients were divided into two sets to establish and verify the risk model while identifying prognostic mrlncRNAs. Areas under the ROC curves were assessed to evaluate the predictive effectiveness, and a predictive nomogram was constructed for further prediction. Subsequently, the tumor mutation burden (TMB), stemness, functional enrichment analysis, tumor microenvironment, and immunotherapeutic and chemotherapeutic responses were also assessed based on this novel risk model. Moreover, patients were regrouped into subtypes according to the expression of model mrlncRNAs.

resultsAssessed by the predictive risk model, patients were distinguished into the low-MLRS and high-MLRS groups, showing satisfactory predictive effects with AUCs of 0.673, 0.712, and 0.681 for the ROCs, respectively. Patients in the low-MLRS groups exhibited better survival status, lower mutated frequency, and lower stemness but were more sensitive to immunotherapeutic response, whereas the high-MLRS group appeared to have higher sensitivity to chemotherapy. Subsequently, patients were regrouped into two clusters: cluster 1 displayed immunosuppressive status, but cluster 2 behaved as a hot tumor with a better immunotherapeutic response.

conclusionsReferring to the above results, we established a m

Indexed as

Head and Neck NeoplasmsRNA, Long Noncoding5-MethylcytosineHumansPrognosisSquamous Cell Carcinoma of Head and NeckTumor Microenvironment5-MethylcytosineRNA, Long Noncoding5-Methylcytosine methylationHead and neck squamous cell carcinomaImmunotherapyLong non-coding RNAPrognosis

Identifiers

PMID37312123
PMCPMC10265901
OpenAlexW4380442333

What OpenQuestion holds

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LicenceCC BY
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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.