Evidence map›Paper›PMID 35239877›Full record

ArticleRevista da Associacao Medica Brasileira (1992)2022

Diagnostic and prognostic significance of long noncoding RNA LINC00173 in patients with melanoma.

Mujun Wang, Wei Liu, Wenxing Liu, Chao Wang

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In one paragraph

Article in Revista da Associacao Medica Brasileira (1992), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Mujun WangThe First People's Hospital of Jinan City, Department of Surgery - Jinan, China.ORCID http://orcid.org/0000-0003-2417-4534
Wei LiuThe First Affiliated Hospital of Shandong First Medical University, Department of Medical Ultrasound - Jinan, China.ORCID http://orcid.org/0000-0002-5908-0661
Wenxing LiuShizhong District People's Hospital of Jinan, Department of Surgery - Jinan, China.ORCID http://orcid.org/0000-0002-0974-1003
Chao WangThe First People's Hospital of Jinan City, Department of Surgery - Jinan, China.ORCID http://orcid.org/0000-0001-5685-7626
Jinan City People's Hospital · CNHanzhong People's Hospital · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA growing volume of literature has suggested long noncoding RNAs (lncRNAs) as important players in tumor progression. In this study, we aimed to investigate the expression and prognostic value of lncRNA LINC00173 (LINC00173) in melanoma.

methodsLINC00173 expression was measured in 163 paired cancerous and noncancerous specimen samples by real-time polymerase chain reaction. The correlations between LINC00173 expression with clinicopathological characteristics and prognosis were analyzed by chi-square test, log-rank test, and multivariate survival analysis. Receiver-operating characteristic curves were used for the assessment of the diagnostic value of LINC00173 for melanoma patients.

resultsThe expression level of LINC00173 in melanoma specimens was distinctly higher than that in adjacent non-neoplasm specimens (p<0.01). Besides, LINC00173 was expressed more frequently in patients with advanced melanoma than in patients with early melanoma. Multivariate assays confirmed that LINC00173 expression level was an independent prognostic predictor of melanoma patients (p<0.05).

conclusionOur data indicated that LINC00173 expression could serve as an unfavorable prognostic biomarker for melanoma patients.

Indexed as

MelanomaRNA, Long NoncodingBiomarkers, TumorGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID35239877
OpenAlexW4214850010

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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.