Evidence map›Paper›PMID 35094988›Full record

ArticleCancer biomarkers : section A of Disease markers2022

Diagnosis and staging of HCV associated fibrosis, cirrhosis and hepatocellular carcinoma with target identification for miR-650, 552-3p, 676-3p, 512-5p and 147b.

Abdullah Ahmed Gibriel, Manal Fouad Ismail, Hameis Sleem, Naglaa Zayed, Ayman Yosry, Saeed M El-Nahaas, Nagwa Ibrahim Shehata

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Functions and mechanisms of miR-650 in human diseases.Frontiers in molecular biosciences · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

7 authors.

Abdullah Ahmed GibrielBiochemistry and Molecular Biology Department, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, Egypt.
Manal Fouad IsmailBiochemistry Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt.
Hameis SleemBiochemistry and Molecular Biology Department, Faculty of Pharmacy, The British University in Egypt (BUE), Cairo, Egypt.
Naglaa ZayedEndemic Medicine Department and Hepatology Unit, Faculty of Medicine, Cairo University, Cairo, Egypt.
Ayman YosryEndemic Medicine Department and Hepatology Unit, Faculty of Medicine, Cairo University, Cairo, Egypt.
Saeed M El-NahaasEndemic Medicine Department and Hepatology Unit, Faculty of Medicine, Cairo University, Cairo, Egypt.
Nagwa Ibrahim ShehataBiochemistry Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic HCV infection progresses to fibrosis, cirrhosis and hepatocellular carcinoma (HCC). The latter represents the third most common cause for cancer mortality. Currently, there is no reliable non-invasive biomarker for diagnosis of HCV mediated disorders.

objectiveProfiling expression signature for circulatory miRNAs in the plasma of 167 Egyptian patients (40 healthy, 48 HCV fibrotic, 39 HCV cirrhotic and 40 HCV-HCC cases).

methodsQRTPCR was used to quantify expression signature for circulatory miRNAs.

resultsMiR-676 and miR-650 were powerful in discriminating cirrhotic and late fibrosis from HCC. MiR-650 could distinguish mild (f0-f1) and advanced (f2-f3) fibrosis from HCC cases. MiR-650 and miR-147b could distinguish early fibrosis from healthy controls meanwhile miR-676 and miR-147b could effectively distinguish between mild chronic and (f1-f3) cases from healthy individuals. All studied miRNAs, except miR-512, can differentiate between (f0-f3) cases and healthy controls. Multivariate logistic regression revealed three potential miRNA panels for effective differentiation of HCC, cirrhotic and chronic liver cases. MiR-676-3p and miR-512-5p were significantly correlated in (f1-f3) fibrosis meanwhile miR-676 and miR-512 could differentiate between cirrhosis and (f0-f3) cases. Both miR-650 and miR-512-5p were positively correlated in the cirrhotic group and in (f0-f4) group. Putative targets for investigated miRNAs were also determined.

conclusionsInvestigated miRNAs could assist in staging and diagnosis of HCV associated disorders.

Indexed as

Carcinoma, HepatocellularHepatitis CLiver NeoplasmsMicroRNAsBiomarkers, TumorHumansLiver CirrhosisBiomarkers, TumorMicroRNAsMIRN650 microRNA, humanBiomarkersfibrosisHCCHCVmiRNA

Identifiers

PMID35094988
PMCPMC12364191

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.