Evidence map›Paper›PMID 31949830›Full record

ArticleInternational journal of clinical and experimental pathology2018

MiR-31 is a potential biomarker for diagnosis of head and neck squamous cell carcinoma.

Long-Long Wang, Hai-Xia Li, Yong-Yan Yang, Ya-La Su, Jin-Shan Lian, Teng Li, Jie Xu, Xiao-Ning Wang, Na Jin, Xian-Feng Liu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 40% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Head and Neck Squamous Cell Carcinoma: Epigenetic Landscape.Diagnostics (Basel, Switzerland) · 2020
    Review
  12. Review
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

10 authors at 1 institution in 1 country.

Long-Long WangThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Hai-Xia LiThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Yong-Yan YangThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Ya-La SuThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Jin-Shan LianThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Teng LiThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Jie XuThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Xiao-Ning WangThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Na JinThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Xian-Feng LiuThe Second Department of Head and Neck Surgery, Baotou Cancer Hospital, The Affiliated Cancer Hospital of Baotou Medical College Baotou 014030, Inner Mongolia, China.
Baotou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) play important roles in the development of head and neck squamous cell carcinoma (HNSCC). However, their potential clinical value as biomarkers remains poorly known. The aim of this study was to assess the association between tissue/serum miR-31 expression levels and prognosis of HNSCC. In this clinical study, tumor samples were obtained from 118 patients with HNSCC and 48 patients with oral epithelial dysplasia, and blood samples were collected from all the HNSCC cases and 60 normal controls. The expression levels of tissue/serum miR-31 were measured by real-time PCR. Chi-square test was used to evaluate the correlation between tissue/serum miR-31 and clinical parameters of HNSCC. Survival curves were constructed using the Kaplan-Meier method and log-rank test. Multivariate Cox regression analyses were used to estimate independent predictors of survival for HNSCC. Our findings showed that tissue miR-31 levels in HNSCC tumor specimens exhibited higher than that in oral epithelial dysplasia samples and normal tissues. Oral epithelial dysplasia with higher expression of miR-31 was more prone to progress into HNSCC. Likewise, serum miR-31 expression in HNSCC patients was markedly increased in compared to normal controls. Moreover, serum miR-31 performed well to distinguish HNSCC subjects from controls. In addition, increased tissue/serum miR-31 expression was positively correlated with poor clinical variables and dismal prognosis. Finally, tissue miR-31 was confirmed to be an independent prognostic factor for HNSCC. Taken together, miR-31 had strong potential as a promising biomarker in HNSCC detection.

Indexed as

Head and neck squamous cell carcinomamiR-31oral epithelial dysplasiaprognostic biomarker

Identifiers

PMID31949830
PMCPMC6962945
OpenAlexW3028283989

What OpenQuestion holds

Textmetadata
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.