Evidence map›Paper›PMID 31658041›Full record

ArticleCancer biomarkers : section A of Disease markers2019

Serum microRNA expression profiling identifies serum biomarkers for HCV-related hepatocellular carcinoma.

Jian Li, Boxun Jin, Tiezheng Wang, Wenlei Li, Zhenshun Wang, Haitao Zhang, Yunjun Song, Ning Li

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 43 citations in OpenAlex.

  1. miR-185 in salivary extracellular vesicles for early diagnosis of malignant transformation in oral leukoplakia: a clinical study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  19. miR-224 Regulates the Aggressiveness of Hepatoma Cells Through the IL-6/STAT3/SMAD4 Pathway.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2021
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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

8 authors at 2 institutions in 1 country.

Jian LiDepartment of Hepatobiliary Surgery, Hospital Affiliated to Chengde Medical University, Chengde, Hebei, China.
Boxun JinDepartment of Hepatobiliary Surgery, You'an Hospital Affiliated to Capital Medical University, Beijing, China.
Tiezheng WangDepartment of Hepatobiliary Surgery, You'an Hospital Affiliated to Capital Medical University, Beijing, China.
Wenlei LiDepartment of Hepatobiliary Surgery, You'an Hospital Affiliated to Capital Medical University, Beijing, China.
Zhenshun WangDepartment of Hepatobiliary Surgery, You'an Hospital Affiliated to Capital Medical University, Beijing, China.
Haitao ZhangDepartment of Hepatobiliary Surgery, You'an Hospital Affiliated to Capital Medical University, Beijing, China.
Yunjun SongDepartment of Hepatobiliary Surgery, You'an Hospital Affiliated to Capital Medical University, Beijing, China.
Ning LiDepartment of Hepatobiliary Surgery, You'an Hospital Affiliated to Capital Medical University, Beijing, China.
Beijing YouAn Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification of high-sensitivity biomarkers for detection of hepatocellular carcinoma (HCC) from high-risk individuals is essential.

objectiveThe present study was undertaken to identify and validate serum microRNAs (miRNAs) as potential biomarkers for hepatitis C virus (HCV)-related HCC.

methodsIllumina sequencing was employed to screen the expression profiles of miRNAs in serum samples of HCV-related HCC patients and liver cirrhosis (LC) patients. RT-qPCR was used to confirm the altered miRNAs between the two groups. Moreover, candidate miRNAs were examined in serum samples of 40 HCC patients, 54 LC patients, 55 patients with chronic HCV hepatitis and 45 healthy controls. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance of the miRNAs for the detection of HCC.

resultsFour miRNAs (miR-122-5p, miR-331-3p, miR-494-3p, miR-224-5p) were significantly increased and two miRNAs (miR-185-5p, miR-23b-3p) were significantly decreased in HCC patients compared to LC patients. ROC curve analysis demonstrated that the six miRNAs could be used as potential biomarkers for HCC detection. Combination of the six miRNAs could efficiently detect HCC in LC patients with the area under the ROC curve (AUC) of 0.995 and combination of the six miRNAs also provided high diagnostic accuracy (AUC = 0.961) for detection of HCC in non-HCC subjects.

conclusionsThe six serum miRNAs can be utilized as a surrogate and non-invasive biomarker for HCV-related HCC diagnosis.

Indexed as

AgedBiomarkers, TumorCarcinoma, HepatocellularFemaleGene Expression ProfilingHepacivirusHepatitis C, ChronicHumansLiver NeoplasmsMaleMicroRNAsMiddle AgedBiomarkers, TumorMicroRNAshepatitis c virusHepatocellular carcinomaliver cirrhosisMiRNAsserum

Identifiers

PMID31658041
PMCPMC12826393
OpenAlexW2981375153

What OpenQuestion holds

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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.