Evidence map›Paper›PMID 42174192›Full record

ArticleAnalytical and bioanalytical chemistry2026

Development and validation of a multiplexed targeted HILIC-HRMS assay for quantitative analysis of hepatocellular carcinoma circulating biomarkers.

Danila La Gioia, Vicky Caponigro, Anna Lucia Tornesello, Emanuela Salviati, Antonio Malinconico, Fabrizio Merciai, Luigi Buonaguro, Franco M Buonaguro, Pietro Campiglia, Maria Lina Tornesello and 1 more

Abstract readValidation Study
In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Danila La GioiaDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, Fisciano, SA, Italy.
Vicky CaponigroDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, Fisciano, SA, Italy.
Anna Lucia TorneselloInnovative Immunological Models Unit, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale", 80131, Naples, Italy.
Emanuela SalviatiDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, Fisciano, SA, Italy.
Antonio MalinconicoDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, Fisciano, SA, Italy.
Fabrizio MerciaiDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, Fisciano, SA, Italy.
Luigi BuonaguroInnovative Immunological Models Unit, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale", 80131, Naples, Italy.
Franco M BuonaguroMolecular Biology and Viral Oncology Unit, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale", 80131, Naples, Italy.
Pietro CampigliaDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, Fisciano, SA, Italy.
Maria Lina TorneselloMolecular Biology and Viral Oncology Unit, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale", 80131, Naples, Italy.
Eduardo SommellaDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, Fisciano, SA, Italy. esommella@unisa.it.

Funding

Ministero della Salute projecMinistero della Salute Project Ricerca Corrente Grant N. L3/31Ministero dell'Istruzione, dell'Università e della Ricerca Project PNC0000001 "D34 Health-Digital Driven
6 · The paper itself

Abstract

Early and accurate diagnosis of hepatocellular carcinoma (HCC) remains a major clinical challenge, particularly in patients with chronic hepatitis C virus (HCV) infection, where standard biomarkers such as alpha-fetoprotein (AFP) often lack sensitivity and specificity. Numerous biomarkers have emerged from untargeted metabolomics and lipidomics approaches; nevertheless, most of these studies provide only relative amounts and do not perform quantitative analysis as further validation. To address this challenge, we developed and validated a targeted method to quantitatively measure panels of biomarkers previously identified as predictive of HCC in untargeted analyses. A high-throughput (6 min) HILIC-HRMS method, based on a multiplexing-HRMS strategy, was developed and validated to measure a panel of lysophosphatidylcholines (LPCs) and carnitines (CARs) in plasma samples from 92 HCC patients. The method showed satisfactory performances in terms of sensitivity (LOD

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularLiquid Chromatography-Mass SpectrometryLiver NeoplasmsHumansHydrophobic and Hydrophilic InteractionsLimit of DetectionLysophosphatidylcholinesReproducibility of ResultsBiomarkers, TumorLysophosphatidylcholinesHepatocellular carcinomaHILICLiquid biopsyMetabolomicsQuantitativeTargeted

Identifiers

PMID42174192
PMCPMC13375758

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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.