Evidence map›Paper›PMID 39259658›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Long Noncoding RNAs MALAT1 and HOTTIP Act as Serum Biomarkers for Hepatocellular Carcinoma.

Han Bao, Yutian Jiang, Ning Wang, Hongying Su, Xiangjun Han

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. International journal of molecular sciences · 2026
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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

5 authors.

Han BaoDepartment of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China.ORCID 0000-0002-1972-2148
Yutian JiangDepartment of Interventional Therapy, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.
Ning WangDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Hongying SuDepartment of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China.
Xiangjun HanDepartment of Interventional Radiology, The First Hospital of China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating tumor markers with satisfactory sensitivity and specificity play crucial roles in cancer diagnosis and therapy. This prospective study aimed to evaluate the potential of circulating lncRNAs as biomarkers for hepatocellular carcinoma (HCC).

methodsA total of 74 patients with HCC and 94 healthy controls were enrolled. The expression levels of candidate genes in serum were detected by qRT-PCR. Receiver operating characteristic (ROC) curve analysis and logistic regression were employed to investigate the diagnostic capacity of lncRNAs. The analysis of 3-year overall survival (OS) was conducted using the Kaplan-Meier method and log-rank test.

resultsOf the 9 candidate genes, 6 lncRNAs could be stably detected in serum. The expression levels of circulating MALAT1 and HOTTIP in HCC patients were significantly higher than those in controls (

conclusionSerum MALAT1 and HOTTIP play indicative roles as non-invasive biomarkers for HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver NeoplasmsRNA, Long NoncodingAdultalpha-FetoproteinsCase-Control StudiesFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisProspective StudiesROC Curvealpha-FetoproteinsBiomarkers, Tumorlong noncoding RNA HOTTIP, humanMALAT1 long non-coding RNA, humanRNA, Long Noncodingbiomarkerdiagnosishepatocellular carcinomalong noncoding RNAprognosis

Identifiers

PMID39259658
PMCPMC11406664

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.