Evidence map›Paper›PMID 31414398›Full record

ArticlePathology oncology research : POR2020

Clinical Application of Long Non-Coding RNA-UCA1 as a Candidate Gene in Progression of Esophageal Cancer.

Hamid Aalijahan, Saeid Ghorbian

Abstract read
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In one paragraph

Article in Pathology oncology research : POR, 2020. 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
0.4field-weighted citation impact, top 45% 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, 16 citations in OpenAlex.

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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.

Hamid AalijahanDepartment of Molecular Genetics, Ahar Branch, Islamic Azad University, Ahar, Iran.ORCID http://orcid.org/0000-0002-4941-7515
Saeid GhorbianDepartment of Molecular Genetics, Ahar Branch, Islamic Azad University, Ahar, Iran. ghorbian20@yahoo.com.
Islamic Azad University of Ahar · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (EC) is known as one of the most prevalent gastrointestinal cancers, and results in the seventh highest number of cancer-relevant deaths. Long non-coding RNAs (lncRNAs) have substantial roles in several biological processes. LncRNA human urothelial carcinoma associated 1 (UCA1) is announced to be enhanced in multiple types of human cancers. This survey was carried out to identify the potential role of the lncRNA-UCA1 in the progression of EC. A case-control investigation was performed on 140 FFPE tissues of EC patients consisting of 70 cancerous tissues and 70 marginal tissues samples. To determine the lncRNA-UCA1 gene expression changes, quantitative reverse-transcription polymerase chain reaction (qRT-PCR) method was utilized. In addition, the associations between the lncRNA-UCA1 gene expression and clinicopathological parameters were assessed. Our findings revealed that the lncRNA-UCA1 was notably up-regulated in EC tissues compared to adjacent normal tissues (P < 0.05). LncRNA-UCA1 expression was substantially correlated to alcohol drinking (P = 0.008) and socioeconomic status (P = 0.001), while shared no correlation with age, hot drinking status and stage (P > 0.05). Our data indicated that the lncRNA-UCA1 play an important role in the progression of EC and may be considered as a candidate gene in the pathogenesis of EC patients.

Indexed as

AdultAgedAged, 80 and overAlcohol DrinkingBiomarkers, TumorCase-Control StudiesDisease ProgressionEsophageal NeoplasmsFemaleHumansMaleMiddle AgedRNA, Long NoncodingSocial ClassUp-RegulationBiomarkers, TumorRNA, Long NoncodingUCA1 RNA, humanCandidate geneEsophageal CancerLncRNAsLncRNA-UCA1

Identifiers

PMID31414398
OpenAlexW2968369081

What OpenQuestion holds

Textmetadata
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.