Evidence map›Paper›PMID 38022651›Full record

ArticleFrontiers in immunology2023

Serum protein biomarkers for HCC risk prediction in HIV/HBV co-infected people: a clinical proteomic study using mass spectrometry.

Hengning Ke, Rui Yuan, Huan Liu, Mingqi Luo, Hui Hu, Ejuan Zhang, Ke Zhuang, Yong Yang, Rongrong Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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  9. Article
  10. Blood biomarkers of hepatocellular carcinoma: a critical review.Frontiers in cell and developmental biology · 2024
    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

9 authors at 3 institutions in 1 country.

Hengning Ke *Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Rui Yuan *Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Huan Liu *Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Mingqi Luo *Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Hui HuDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Ejuan ZhangMedical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Ke ZhuangAnimal Biosafety Level 3 Laboratory at the Center for Animal Experiment, State Key Laboratory of Virology, Wuhan University, Wuhan, Hubei, China.
Yong YangSpecAlly Life Technology Co., Ltd., Wuhan Institute of Biotechnology, Wuhan, China.
Rongrong YangDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Wuhan University · CNZhongnan Hospital of Wuhan University · CNWuhan Institute of Bioengineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: HBV coinfection is frequent in people living with HIV (PLWH) and is the leading cause of hepatocellular carcinoma (HCC). While risk prediction methods for HCC in patients with HBV monoinfection have been proposed, suitable biomarkers for early diagnosis of HCC in PLWH remain uncommon. Methods: Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to examine serum protein alterations in HCC and non-HCC patients with HIV and HBV co-infection. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Disease Ontology (DO) enrichment analysis were performed on the differentially expressed proteins (DEPs). The risk prediction model was created using five-cross-validation and LASSO regression to filter core DEPs. Results: A total of 124 DEPs were discovered, with 95 proteins up-regulated and 29 proteins down-regulated. Extracellular matrix organization and membrane component were the DEPs that were most abundant in the categories of biological processes (BP) and cellular components (CC). Proteoglycans in cancer were one of the top three DEPs primarily enriched in the KEGG pathway, and 60.0% of DEPs were linked to various neoplasms in terms of DO enrichment. Eleven proteins, including GAPR1, PLTP, CLASP2, IGHV1-69D, IGLV5-45, A2M, VNN1, KLK11, ANPEP, DPP4 and HYI, were chosen as the core DEPs, and a nomogram was created to predict HCC risk. Conclusion: In HIV/HBV patients with HCC, several differential proteins can be detected in plasma by mass spectrometry, which can be used as screening markers for early diagnosis and risk prediction of HCC. Monitoring protease expression differences can help in the diagnosis and prognosis of HCC.

Indexed as

Carcinoma, HepatocellularCoinfectionHIV InfectionsLiver NeoplasmsBiomarkersBlood ProteinsChromatography, LiquidHepatitis B virusHumansProteomicsTandem Mass SpectrometryBiomarkersBlood Proteinsgolgi-associated plant pathogenesis-related protein 1hepatitis Bhepatocellular carcinomahuman immunodeficiency virusphospholipid transfer protein

Identifiers

PMID38022651
PMCPMC10667720
OpenAlexW4388631703

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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 OpenQuestion graph.