Evidence map›Paper›PMID 31925645›Full record

ArticleMolecular biology reports2020

NIT2 overexpression predicts poor prognosis in tongue squamous cell carcinoma patients.

Shan Chen, Zengyan Wang, Chongjin Feng

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2020. 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
0.4field-weighted citation impact, top 41% 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, 7 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Shan Chen *Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Rd 2, Guangzhou, 510080, Guangdong, People's Republic of China.
Zengyan Wang *Reproductive Medicine Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, Guangdong, People's Republic of China.
Chongjin FengDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Rd 2, Guangzhou, 510080, Guangdong, People's Republic of China. drfcj@aliyun.com.ORCID http://orcid.org/0000-0002-6177-5980
Sun Yat-sen University · CN

Funding

National Natural Science Foundation of China 81172564
6 · The paper itself

Abstract

There is disputable on the role of nitrilase-like 2 (NIT2) in cancer. Its expression and its relationship with clinicopathological features in tongue squamous cell carcinoma (TSCC) are not yet clear. The purpose of this study is to investigate the expression of NIT2 in TSCC and its correlation with clinicopathological characteristics in TSCC patients. Through proteomic identification, we found that the protein NIT2 was related to the development of TSCC. q-PCR, western blot and immunohistochemistry techniques were applied to detect the expression of NIT2 in TSCC. The relationship between the expression of NIT2 and clinicopathological features was analyzed by Chi square tests. The results showed the expression of NIT2 in TSCC was significantly higher than that in normal tongue tissues (p < 0.05). Univariate and multivariate analysis showed that the positive expression of NIT2 and N classification were associated with decreased disease-free survival rate (DFS) and overall survival (OS) (p < 0.05). The results suggested that NIT2 is overexpressed in TSCC and NIT2 may be a potential therapeutic target for TSCC.

Indexed as

AminohydrolasesBlotting, WesternCarcinoma, Squamous CellCohort StudiesElectrophoresis, Gel, Two-DimensionalFemaleGene Expression Regulation, NeoplasticHumansImmunohistochemistryKaplan-Meier EstimateMaleMiddle AgedPrognosisProteomeProteomicsTissue Array AnalysisAminohydrolasesnitrilaseProteomeNitrilase-like 2PrognosisProteomeSurvivalTongue squamous cell carcinoma (TSCC)

Identifiers

PMID31925645
OpenAlexW3000588418

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.