Evidence map›Paper›PMID 37780548›Full record

ArticleOncology letters2023

High hsa_circ_0081621 expression indicates a poor prognosis of laryngeal squamous cell carcinoma: A bioinformatics analysis and retrospective clinical study.

Meng Liu, Ruili Zhao, Xiaofei Song, Hongkun Cheng, Yan Zhao, Yuru Xu, Shenghui Liu

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 71% 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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Meng LiuDepartment of Otorhinolaryngology Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Ruili ZhaoDepartment of Otorhinolaryngology Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Xiaofei SongDepartment of Otorhinolaryngology Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Hongkun ChengDepartment of Otorhinolaryngology Head and Neck Surgery, The Third Hospital of Handan City, Handan, Hebei 056001, P.R. China.
Yan ZhaoDepartment of Otorhinolaryngology Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Yuru XuDepartment of Otorhinolaryngology Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Shenghui LiuDepartment of Otorhinolaryngology Head and Neck Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050017, P.R. China.
Fourth Hospital of Hebei Medical University · CNHebei Medical University · CNHan Dan City Eye Hospital - The Third Hospital of Handan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Laryngeal squamous cell carcinoma (LSCC) is the second most common malignant tumour of the head and neck with a low 5-year survival rate. There is need to identify novel biomarkers for diagnosis and treatment of LSCC. The present study identified differentially expressed circular RNAs (circRNAs/circs) in LSCC and larynx adjacent non-carcinoma epithelial specimens by analysing the circRNA microarray dataset GSE117001. hsa_circ_0081621 had highest expression among three circRNAs (hsa_circ_0015211, hsa_circ_0023326 and hsa_circ_0081621) in LSCC specimens by reverse transcription-quantitative PCR. The expression levels of hsa_circ_0081621 in 67 LSCC specimens were detected by fluorescence

Indexed as

circular RNAhsa_circ_0081621laryngeal squamous cell carcinomaprognosis

Identifiers

PMID37780548
PMCPMC10534280
OpenAlexW4386746292

What OpenQuestion holds

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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.