Evidence map›Paper›PMID 37286539›Full record

ArticleNature communications2023

A high-throughput test enables specific detection of hepatocellular carcinoma.

David Cheishvili, Chifat Wong, Mohammad Mahbubul Karim, Mohammad Golam Kibria, Nusrat Jahan, Pappu Chandra Das, Md Abul Khair Yousuf, Md Atikul Islam, Dulal Chandra Das, Sheikh Mohammad Noor-E-Alam and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 32 citations in OpenAlex.

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  17. Genetic screening of liver cancer: State of the art.World journal of hepatology · 2024
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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

14 authors at 4 institutions in 3 countries.

David CheishviliHKG Epitherapeutics Ltd. Unit 313-315, 3/F Biotech Center 2, 11 Science Park west Avenue, Shatin, Hong Kong, SAR, China. David.cheishvili@hkgepitherapeutics.com.ORCID 0000-0001-9136-8967
Chifat WongHKG Epitherapeutics Ltd. Unit 313-315, 3/F Biotech Center 2, 11 Science Park west Avenue, Shatin, Hong Kong, SAR, China.
Mohammad Mahbubul KarimInternational Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), Dhaka, Bangladesh.ORCID 0000-0003-4882-1775
Mohammad Golam KibriaInternational Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), Dhaka, Bangladesh.ORCID 0000-0002-7821-2455
Nusrat JahanInternational Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), Dhaka, Bangladesh.ORCID 0000-0002-6094-0999
Pappu Chandra DasInternational Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), Dhaka, Bangladesh.
Md Abul Khair YousufDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.
Md Atikul IslamDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.
Dulal Chandra DasDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.
Sheikh Mohammad Noor-E-AlamDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.
Moshe SzyfDepartment of Pharmacology and Therapeutics, McGill University, Montreal, Canada.ORCID 0000-0003-3881-8214
Sarwar AlamDepartment of Clinical Oncology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.
Wasif A KhanInternational Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), Dhaka, Bangladesh.ORCID 0000-0002-7650-8068
Mamun Al MahtabDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Shahbag, Dhaka, Bangladesh.ORCID 0000-0003-3728-3879
Bangladesh Medical University · BDInternational Centre for Diarrhoeal Disease Research · BDHong Kong Science and Technology Parks Corporation · HKMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput tests for early cancer detection can revolutionize public health and reduce cancer morbidity and mortality. Here we show a DNA methylation signature for hepatocellular carcinoma (HCC) detection in liquid biopsies, distinct from normal tissues and blood profiles. We developed a classifier using four CpG sites, validated in TCGA HCC data. A single F12 gene CpG site effectively differentiates HCC samples from other blood samples, normal tissues, and non-HCC tumors in TCGA and GEO data repositories. The markers were validated in a separate plasma sample dataset from HCC patients and controls. We designed a high-throughput assay using next-generation sequencing and multiplexing techniques, analyzing plasma samples from 554 clinical study participants, including HCC patients, non-HCC cancers, chronic hepatitis B, and healthy controls. HCC detection sensitivity was 84.5% at 95% specificity and 0.94 AUC. Implementing this assay for high-risk individuals could significantly decrease HCC morbidity and mortality.

Indexed as

Carcinoma, HepatocellularLiver Neoplasmsalpha-FetoproteinsDNA MethylationHumansLiverAFP protein, humanalpha-Fetoproteins

Identifiers

PMID37286539
PMCPMC10247794
OpenAlexW4379769200

What OpenQuestion 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 OpenQuestion graph.