Evidence map›Paper›PMID 33634974›Full record

ArticleClinical and translational medicine2021

MiR-378a-3p as a putative biomarker for hepatocellular carcinoma diagnosis and prognosis: Computational screening with experimental validation.

Fuliang Qian, Jinghan Wang, Ying Wang, Qian Gao, Wenying Yan, Yuxin Lin, Li Shen, Yufeng Xie, Xiaoqing Jiang, Bairong Shen

Open access · goldAbstract readValidation Study
In one paragraph

Article in Clinical and translational medicine, 2021. 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
1.7field-weighted citation impact, top 16% 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, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. mEpigenetics · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. [Expert consensus on the role of hematological markers in the early clinical screening of hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    Article
  12. Article
  13. Article
  14. Depicting the Implication of miR-378a in Cancers.Technology in cancer research & treatment
    Review
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

10 authors at 3 institutions in 1 country.

Fuliang QianCenter for Systems Biology, Soochow University, Suzhou, China.
Jinghan WangDepartment of the First Biliary Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai, China.
Ying WangDepartment of the First Biliary Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai, China.
Qian GaoDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Wenying YanCenter for Systems Biology, Soochow University, Suzhou, China.ORCID 0000-0001-5016-575X
Yuxin LinDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Li ShenInstitutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Yufeng XieCenter for Systems Biology, Soochow University, Suzhou, China.
Xiaoqing JiangDepartment of the First Biliary Surgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Navy Military Medical University, Shanghai, China.
Bairong ShenInstitutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0003-2899-1531
Soochow University · CNSecond Military Medical University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a malignant disease with high morbidity and mortality, and the molecular mechanism for the genesis and progression is complex and heterogeneous. Biomarker discovery is crucial for the personalized and precision treatment of HCC. The accumulation of reported microRNA biomarkers makes it possible to combine computational identification with experimental validation to accelerate the discovery of novel biomarker.

resultsIn the present work, we applied a rational computer-aided biomarker discovery model to screen for the HCC diagnosis biomarker. Two HCC-associated networks were constructed based on the microRNA and mRNA expression profiles, and the potential microRNA biomarkers were identified based on their unique regulatory and influential power in the network. These putative biomarkers were then experimentally validated. One prominent example among these identified biomarkers is MiR-378a-3p: It was shown to independently regulate several important transcription factors such as PLAGL2 and β-catenin, affecting the β-catenin signaling. Such mechanism may indicate a potential tumor suppressor role of MiR-378a-3p and the impact of its abnormal expression on the cell growth and invasion of HCC.

conclusionsA bioinformatics model with network topological and functional characterization was successfully applied to the identification of HCC biomarkers. The predicted microRNA biomarkers were than validated with experiments using human HCC cell lines, model animal, and clinical specimens. The results confirmed the prediction by our proposed model that miR-378a-3p was a putative biomarker for diagnosis and prognosis of HCC.

Indexed as

AnimalsBiomarkers, TumorCarcinoma, HepatocellularCell Line, TumorDisease Models, AnimalFemaleHumansLiver NeoplasmsMaleMiceMice, Inbred BALB CMicroRNAsMiddle AgedPrognosisReproducibility of ResultsBiomarkers, TumorMicroRNAsMIRN378 microRNA, mousecancer genesis and progressionhepatocellular carcinoma (HCC)microRNA biomarkernetwork structure characterizationunique regulatory and influential power

Identifiers

PMID33634974
PMCPMC7882078
OpenAlexW3132999322

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.