Evidence map›Paper›PMID 29113102›Full record

ArticleInternational journal of molecular sciences2017

Midkine and NANOG Have Similar Immunohistochemical Expression Patterns and Contribute Equally to an Adverse Prognosis of Oral Squamous Cell Carcinoma.

Hyun-Min Kim, Young-Hoon Kang, June-Ho Byun, Si-Jung Jang, Gyu-Jin Rho, Jong-Sil Lee, Bong-Wook Park

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Targeted Cancer Stem Cell Therapeutics: An Update.Current topics in medicinal chemistry · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. NANOG expression in human development and cancerogenesis.Experimental biology and medicine (Maywood, N.J.) · 2020
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

7 authors at 2 institutions in 1 country.

Hyun-Min KimDepartment of Dentistry, School of Medicine and Institute of Health Science, Gyeongsang National University, Jinju 52727, Korea. acerhm77@gmail.com.
Young-Hoon KangDepartment of Dentistry, School of Medicine and Institute of Health Science, Gyeongsang National University, Jinju 52727, Korea. younghoon300@hanmail.net.
June-Ho ByunDepartment of Dentistry, School of Medicine and Institute of Health Science, Gyeongsang National University, Jinju 52727, Korea. surbyun@gnu.ac.kr.
Si-Jung JangOBS/Theriogenology and Biotechnology, College of Veterinary Medicine, Gyeongsang National University, Jinju 52828, Korea. sjjang@gnu.ac.kr.
Gyu-Jin RhoOBS/Theriogenology and Biotechnology, College of Veterinary Medicine, Gyeongsang National University, Jinju 52828, Korea. jinrho@gnu.ac.kr.
Jong-Sil LeeDepartment of Pathology, School of Medicine Gyeongsang National University, Jinju 52727, Korea. jongsil25@gnu.ac.kr.
Bong-Wook ParkDepartment of Dentistry, School of Medicine and Institute of Health Science, Gyeongsang National University, Jinju 52727, Korea. parkbw@gnu.ac.kr.
Gyeongsang National University · KRChangwon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To increase the overall survival rate and obtain a better prognosis for oral squamous cell carcinoma (OSCC) patients, the detection of more effective and reliable tumor prognostic markers is needed. This study is focused on the analysis of correlation between the clinicopathological features of OSCCs and the immunohistochemical (IHC) expression patterns of MIDKINE (MK) and NANOG. Sixty-two primary OSCC patients were selected and their pretreatment biopsy specimens were immunohistochemically analyzed for the MK and NANOG proteins. The IHC expression patterns, clinicopathological features, and overall survival rates were assessed to identify any correlations. MK and NANOG showed significantly similar IHC expression patterns: both demonstrated enhanced expression in histologically high-grade and clinically late-stage OSCCs. Weak or negative expression of MK and NANOG was correlated with negative neck node metastasis. Clinicopathologically, late tumor stage, neck node metastasis, high-grade tumor, and palliative treatment groups showed significantly lower overall survival rates. The enhanced expression of MK and NANOG was associated with lower overall survival rates. In particular, enhanced co-detection of MK and NANOG showed significant correlation with poor prognosis. In conclusion, enhanced IHC expression patterns of MK and NANOG in OSCC patients was significantly associated with lower overall survival rates and unfavorable clinicopathological features. These results demonstrate that analysis of IHC expression patterns of MK and NANOG in pretreatment biopsy specimens during the work-up period can provide a more definitive prognosis prediction for each OSCC patient that can help clinicians to develop a more precise individual treatment modality.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Squamous CellCell Line, TumorDisease-Free SurvivalFemaleHumansIntercellular Signaling Peptides and ProteinsLymphatic MetastasisMaleMiddle AgedMidkineMouth NeoplasmsBiomarkers, TumorIntercellular Signaling Peptides and ProteinsMDK protein, humanMidkineNanog Homeobox ProteinNANOG protein, humanimmunohistochemistryMIDKINENANOGoral squamous cell carcinoma

Identifiers

PMID29113102
PMCPMC5713308
OpenAlexW2767079449

What OpenQuestion holds

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LicenceCC BY
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.