Evidence map›Paper›PMID 39177206›Full record

ArticleJournal of proteome research2024

Unveiling Endogenous Serum Peptides as Potential Biomarkers for Hepatocellular Carcinoma in Patients with Liver Cirrhosis.

Muhammad Salman Sajid, Yuansong Ding, Rency S Varghese, Alexander Kroemer, Habtom W Ressom

Abstract read
In one paragraph

Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Integrative Analysis of Multi-Omics Data for Biomarker Discovery.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    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

5 authors.

Muhammad Salman SajidDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, D.C. 20057, United States.
Yuansong DingDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, D.C. 20057, United States.
Rency S VargheseDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, D.C. 20057, United States.
Alexander KroemerMedStar Georgetown Transplant Institute, MedStar Georgetown University Hospital and the Center for Translational Transplant Medicine, Georgetown University Medical Center, Washington, D.C. 20057, United States.
Habtom W RessomDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, D.C. 20057, United States.ORCID 0000-0001-9296-2132

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI MARCUS S NOEL · 1990 to 2026
$71.5M
Systems Metabolomics for Biomarker DiscoveryR35GM141944 · NIGMS · GEORGETOWN UNIVERSITY · PI RESSOM, HABTOM W · 2021 to 2025
$2.4M
NCI NIH HHS P30 CA051008NIGMS NIH HHS R35 GM141944
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, mainly associated with liver cirrhosis. Current diagnostic methods for HCC have limited sensitivity and specificity, highlighting the need for improved early detection and intervention. In this study, we used a comprehensive approach involving endogenous peptidome along with bioinformatics analysis to identify and evaluate potential biomarkers for HCC. Serum samples from 40 subjects, comprising 20 HCC cases and 20 patients with liver cirrhosis (CIRR), were analyzed. Among 2568 endogenous peptides, 67 showed significant differential expression between the HCC vs CIRR. Further analysis revealed three endogenous peptides (VMHEALHNHYTQKSLSLSPG, NRFTQKSLSLSPG, and SARQSTLDKEL) that showed far better performance compared to AFP in terms of area under the receiver operating characteristic curve (AUC), showcasing their potential as biomarkers for HCC. Additionally, endogenous peptide IAVEWESNGQPENNYKT that belongs to the precursor protein Immunoglobulin heavy constant gamma 4 was detected in 100% of the HCC group and completely absent in the CIRR group, suggesting a promising diagnostic biomarker. Gene ontology and pathway analysis revealed the potential involvement of these dysregulated peptides in HCC. These findings provide valuable insights into the molecular basis of HCC and may contribute to the development of improved diagnostic methods and therapeutic targets for HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiver CirrhosisLiver NeoplasmsPeptidesalpha-FetoproteinsComputational BiologyFemaleHumansMaleMiddle AgedProteomicsROC Curvealpha-FetoproteinsBiomarkers, TumorPeptidesbiomarkerendogenous peptidesliver cancernano-LC-MS/MSserum

Identifiers

PMID39177206
PMCPMC11385380

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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.