Evidence map›Paper›PMID 32865353›Full record

ArticleHua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology2020

[Prognostic value of plasma miR-1290 expression in patients with oral squamous cell carcinoma].

Xiu-Min Chen, Zu-Zhi Liu, Jian-Neng Lin

Abstract read
In one paragraph

Article in Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. An Insight into miR-1290: An Oncogenic miRNA with Diagnostic Potential.International journal of molecular sciences · 2022
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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.

Xiu-Min ChenDept. of Stomatology, Danzhou People's Hospital, Danzhou 571799, China.
Zu-Zhi LiuDept. of Stomatology, Danzhou People's Hospital, Danzhou 571799, China.
Jian-Neng LinDept. of Stomatology, Danzhou People's Hospital, Danzhou 571799, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the prognostic value of plasma miR-1290 in patients with oral squamous cell carcinoma (OSCC).

methodsSeventy patients with OSCC admitted to Danzhou People's Hospital from January 2014 to December 2018 were included in this study. Real-time fluorescence quantitative polymerase chain reaction (PCR) was used to detect the expression of miR-1290 in these patients. The optimal cut-off value of plasma miR-1290 expression was determined by the ROC curve method, and patients with OSCC were divided into the high (n=31) and low (n=39) miR-1290-expressing groups. The clinicopathological features of the two groups were compared, and survival curves were drawn using the Kaplan-Meier method. Risk factors affecting the poor prognosis of patients were analyzed using univariate and multivariate COX regression models.

resultsThe expression level of plasma miR-1290 in the OSCC group was significantly lower than that in the control group (0.65±0.14 vs. 2.06±0.90; t=13.912, P<0.001). The low expression of plasma miR-1290 appeared to be related to the clinical stage, differentiation degree, tumor diameter, and lymph node metastasis of OSCC (P<0.05). Survival analysis showed that the overall survival rate and the progression-free survival rate of the low-miR-1290 group were significantly lower than that of the high-miR-1290 group (P<0.01). Multivariate COX regression analysis showed that clinical stage, lymph node metastasis, and plasma miR-1290<1.14 were independent risk factors for the poor prognosis of patients with OSCC (P<0.05).

conclusionsThe expression level of plasma miR-1290 in patients with OSCC significantly decreased, and the low expression of miR-1290 is related to the short survival time of OSCC patients. Thus, miR-1290 may be a potential marker predicting the poor prognosis of OSCC.

Indexed as

Carcinoma, Squamous CellMicroRNAsMouth NeoplasmsBiomarkers, TumorHumansLymphatic MetastasisPrognosisBiomarkers, TumorMicroRNAsMIRN1290 microRNA, humanmiR-1290oral squamous cell carcinomaprognostic prediction

Identifiers

PMID32865353
PMCPMC7426682

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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.