Evidence map›Paper›PMID 32733618›Full record

ArticleDisease markers2020

A Circulating Long Noncoding RNA Panel Serves as a Diagnostic Marker for Hepatocellular Carcinoma.

Jinlan Huang, Yansong Zheng, Xialin Xiao, Can Liu, Jinpiao Lin, Sijia Zheng, Bin Yang, Qishui Ou

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Combinatorial Gene Expression Profiling of SerumInternational journal of molecular sciences · 2024
    Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
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

8 authors at 1 institution in 1 country.

Jinlan HuangDepartment of Laboratory Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province 350005, China.
Yansong ZhengDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province 350005, China.
Xialin XiaoFujian Key Laboratory of Laboratory Medicine, Fuzhou, Fujian Province 350005, China.
Can LiuDepartment of Laboratory Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province 350005, China.
Jinpiao LinDepartment of Laboratory Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province 350005, China.
Sijia ZhengMedical Technology and Engineering College, Fujian Medical University, Fuzhou, Fujian Province 350004, China.
Bin YangDepartment of Laboratory Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province 350005, China.
Qishui OuDepartment of Laboratory Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province 350005, China.ORCID https://orcid.org/0000-0002-9923-3212
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating long noncoding RNAs (lncRNAs) have been demonstrated to serve as diagnostic biomarkers for various cancers. We aimed to elucidate the diagnostic efficacy of eight serum lncRNAs HULC, MALAT1, Linc00152, PTENP1, PTTG3P, SPRY4-IT1, UBE2CP3, and UCA1 and their combinations for the diagnosis of hepatocellular carcinoma (HCC).

methodsA total of 129 patients with HCC, 49 patients with liver cirrhosis, 27 patients with chronic hepatitis B, and 93 healthy controls were enrolled in this study. The levels of serum lncRNAs were assessed by quantitative real-time polymerase chain reaction. The correlations between serum lncRNAs and clinicopathological characteristics were further analyzed. The receiver operating characteristic (ROC) curve and area under curve (AUC) were utilized to estimate the diagnostic capacity of serum lncRNAs and their combination with AFP for HCC. A logistic regression model was performed to establish a multiple-lncRNA panel.

resultsThe levels of serum HULC, MALAT1, Linc00152, PTTG3P, SPRY4-IT1, UBE2CP3, and UCA1 were significantly higher in HCC patients than in patients with benign liver diseases and healthy controls, whereas serum PTENP1 was significantly decreased in HCC patients compared with healthy participants. Positive correlations between serum Linc00152 and GGT, serum PTTG3P and GGT, and serum SPRY4-IT1 and ALT were noted in HCC patients. ROC analysis revealed that all these lncRNAs had a significantly predictive value for HCC except for PTENP1. The best performance of single lncRNA was obtained by Linc00152 with an AUC of 0.877. When combined with AFP, the combination of Linc00152 and AFP gained the highest accuracy, yielding an AUC of 0.906. Through logistic regression analysis, the panel consisting of serum linc00152, UCA1, and AFP provided the greatest predictive ability, obtaining an AUC of 0.912 with 82.9% sensitivity and 88.2% specificity.

conclusionThe panel of serum Linc00152, UCA1, and AFP demonstrates a novel and noninvasive biomarker with relatively high sensitivity and specificity for HCC diagnosis.

Indexed as

AdultAgedAged, 80 and overalpha-FetoproteinsBiomarkers, TumorCarcinoma, HepatocellularCase-Control StudiesFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiver NeoplasmsLogistic ModelsMaleMiddle AgedRNA, Long NoncodingAFP protein, humanalpha-FetoproteinsBiomarkers, Tumorlong non-coding RNA Linc00152, humanRNA, Long NoncodingUCA1 RNA, human

Identifiers

PMID32733618
PMCPMC7376401
OpenAlexW3043229840

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.