Evidence map›Paper›PMID 34017498›Full record

ArticleAmerican journal of translational research2021

The clinical application value of miR-1269 as an unfavorable prognostic indicator of lung cancer.

Jinghong Le, Xiang Le

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. miR-1269a and miR-1269b: Emerging Carcinogenic Genes of the miR-1269 Family.Frontiers in cell and developmental biology · 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

2 authors at 1 institution in 1 country.

Jinghong LeThe First Department of General Thoracic Surgery, Guangrao County People's Hospital Guangrao 257300, Shandong Province, China.
Xiang LeThe First Department of General Thoracic Surgery, Guangrao County People's Hospital Guangrao 257300, Shandong Province, China.
The First People's Hospital of Guiyang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThanks to microRNAs (miR), a myriad of outstanding achievements have been made in multiple fields in recent years. miR-1269, a newly discovered miR, presents high expression profiles in lung cancer (LC), but its clinical implications in LC have not been clarified yet.

methodsThe miR-1269 expressions in the peripheral blood of LC patients, benign pulmonary disease (BPD) patients, and healthy controls were measured using qRT-PCR. Receiver operating characteristic (ROC) curves were employed for the identification of the diagnostic value of miR-1269 in LC, as were Kaplan-Meier (K-M) analyses and a Cox regression model to determine miR-1269's prognostic value in LC.

resultsqRT-PCR revealed higher miR-1269 expressions in the LC patients than in the BPD patients and the controls (P < 0.001). The LC patients with high miR-1269 expressions had advanced tumor stages (III-IV) and an increased probability of lymph node metastasis (LNM) (P < 0.01). Also, evidently elevated miR-1269 levels were observed in the peripheral blood of patients with the advanced tumor stages (III-IV) and LNM. Via ROC curves, we found that miR-1269 is of high clinical significance in the diagnosis of LC and advanced tumor stages. Our K-M survival analysis revealed a lowered 5-year survival rate in patients with high miR-1269 expressions, and our Cox regression analysis found that miR-1269 is an independent prognostic factor for LC.

conclusionsmiR-1269, with high expression profiles in LC, indicates unfavorable patient prognoses, so it may be a viable diagnostic and prognostic indicator of LC.

Indexed as

analysisclinical valuelung cancermiR-1269prognosis

Identifiers

PMID34017498
PMCPMC8129335
OpenAlexW3162266571

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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.