Evidence map›Paper›PMID 35117604›Full record

ArticleTranslational cancer research2020

MAFA-AS1, a long non-coding RNA, predicts for poor survival of hepatocellular carcinoma.

Yuting Zhan, Xin-Yuan Guan, Yan Li

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 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
0.1field-weighted citation impact, top 64% 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, 3 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 2 countries.

Yuting ZhanState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China.
Xin-Yuan GuanState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China.
Yan LiState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a common cancer with high morbidity and mortality, especially in East Asia. Reliable biomarkers for HCC are indispensible given the absence of capable prediction of prognosis. Long non-coding RNAs (lncRNAs) are the most abundant products of transcription, which might serve as robust markers for diagnosis or treatment.

methodsMultiple bioinformatics tools were utilized to screen indicative lncRNAs for HCC concurrently with the underlying mechanism of its role in tumorigenesis and development. We analyzed the genome-wide alterations and transcriptomics profiles of HCC and non-tumor samples from The Cancer Genome Atlas (TCGA). Survival analyses were also applied. Integrated bioinformatics analyses were applied to identify co-expressed genes along with chromosome loci, predictive RNA binding proteins (RBPs) and co-expressed miRNAs.

resultsCombining copy number variations (CNVs) with expressions of lncRNAs, 20 most aberrant lncRNAs were identified. MAFA-AS1 was identified as a prognostic indicator of HCC poor overall survival (OS) and disease-free survival (DFS). Multiple bioinformatics analyses suggest that MAFA-AS1 is involved in HCC progression via interacting with SRSF1/SRSF9 and coordinating with miR210.

conclusionsMAFA-AS1is a prognostic biomarker for poor OS and DFS of patients with HCC. It is involved in HCC progression.

Indexed as

Hepatocellular carcinoma (HCC)long non-coding RNA (lncRNA)MAFA-AS1prognosis

Identifiers

PMID35117604
PMCPMC8798454
OpenAlexW3013375709

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.