Evidence map›Paper›PMID 32596058›Full record

ArticlePeerJ2020

Identification of SPRR3 as a novel diagnostic/prognostic biomarker for oral squamous cell carcinoma via RNA sequencing and bioinformatic analyses.

Lu Yu, Zongcheng Yang, Yingjiao Liu, Fen Liu, Wenjing Shang, Wei Shao, Yue Wang, Man Xu, Ya-Nan Wang, Yue Fu and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Metabolic biomarker in oral squamous cell carcinoma - a comprehensive review.GMS Interdisciplinary plastic and reconstructive surgery DGPW · 2025
    Review
  3. Article
  4. Article
  5. The development of radioresistant oral squamous carcinoma cell lines and identification of radiotherapy-related biomarkers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Computational and mathematical methods in medicine · 2022
    Article
  12. Article
  13. 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

11 authors at 2 institutions in 2 countries.

Lu Yu *Department of Implantology, School and Hospital of Stomatology, Shandong University & Shandong Provincial Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong University, Jinan, Shandong, China.
Zongcheng Yang *Department of Implantology, School and Hospital of Stomatology, Shandong University & Shandong Provincial Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong University, Jinan, Shandong, China.
Yingjiao LiuSchool of Philosophy, Psychology and Language Sciences, College of Humanities and Social Science, The University of Edinburgh, Edinburgh, UK.
Fen LiuDepartment of Microbiology, Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of Basic Medical Science, Shandong University, Jinan, Shandong, China.
Wenjing ShangDepartment of Microbiology, Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of Basic Medical Science, Shandong University, Jinan, Shandong, China.
Wei ShaoDepartment of Microbiology, Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of Basic Medical Science, Shandong University, Jinan, Shandong, China.
Yue WangDepartment of Microbiology, Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of Basic Medical Science, Shandong University, Jinan, Shandong, China.
Man XuSchool of Medicine, Shandong University, Jinan, Shandong, China.
Ya-Nan WangDepartment of Implantology, School and Hospital of Stomatology, Shandong University & Shandong Provincial Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong University, Jinan, Shandong, China.
Yue FuSchool of Medicine, Shandong University, Jinan, Shandong, China.
Xin XuDepartment of Implantology, School and Hospital of Stomatology, Shandong University & Shandong Provincial Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration, Shandong University, Jinan, Shandong, China.
Shandong University · CNUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) has always been one of the most aggressive and invasive cancers among oral and maxillofacial malignancies. As the morbidity and mortality of the disease have increased year by year, the search for a promising diagnostic and prognostic biomarker for the disease is becoming increasingly urgent. Tumorous and adjacent tissues were collected from three OSCC sufferers and we obtained 229 differentially expressed genes (DEGs) between tumor and normal tissues via high-throughput RNA sequence. Function and pathway enrichment analyses for DEGs were conducted to find a correlation between tumorigenesis status and DEGs. Protein interaction network and molecular complex detection (MCODE) were constructed to detect core modules. Two modules were enriched in MCODE. The diagnostic and prognostic values of the candidate genes were analyzed, which provided evidence for the candidate genes as new tumor markers. Small Proline Rich Protein 3 (SPRR3), a potential tumor marker that may be useful for the diagnosis of OSCC, was screened out. The survival analysis showed that SPRR3 under expression predicted the poor prognosis of OSCC patients. Further experiments have also shown that the expression of SPRR3 decreased as the malignancy of OSCC increased. Therefore, we believe that SPRR3 could be used as a novel diagnostic and prognostic tumor marker.

Indexed as

BioinformaticsBiomarkerHigh-throughput RNA sequenceOral squamous cell carcinomaSPRR3

Identifiers

PMID32596058
PMCPMC7305774
OpenAlexW3036140445

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.