Evidence map›Paper›PMID 30325540›Full record

ArticleHepatology (Baltimore, Md.)2019

Serum Metabolites as Diagnostic Biomarkers for Cholangiocarcinoma, Hepatocellular Carcinoma, and Primary Sclerosing Cholangitis.

Jesus M Banales, Mercedes Iñarrairaegui, Ander Arbelaiz, Piotr Milkiewicz, Jordi Muntané, Luis Muñoz-Bellvis, Adelaida La Casta, Luis M Gonzalez, Enara Arretxe, Cristina Alonso and 9 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06342414 (An Exosome-Based Liquid Biopsy for the Differential Diagnosis of Primary Liver Cancer), which is not on this map. Cited by 112 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 2 pooled it
14.0field-weighted citation impact, top 1% 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.

NCT06342414 recruitingnot on this mapstarted 2024, after this paper: background citation

An Exosome-Based Liquid Biopsy for the Differential Diagnosis of Primary Liver Cancer

TypeobservationalSponsorCity of Hope Medical CenterRan2024 to 2028Enrolled400ConditionsHepatocellular Carcinoma, Intrahepatic Cholangiocarcinoma, Cholangiocarcinoma, Primary Liver CancerArmsELUCIDATE
3 · Its place in the literature

Who cites it

112 citing papers in PubMed, 2 syntheses or guidelines pooled it, 186 citations in OpenAlex.

  1. Pooled it
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  11. Cholangiocarcinoma 2026: status quo, unmet needs and priorities.Nature reviews. Gastroenterology & hepatology · 2026
    Review
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  20. Cholangiocarcinoma: The era of liquid biopsy.World journal of gastroenterology · 2025
    Review

52 more citing papers are in PubMed but not listed here.

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

19 authors at 7 institutions in 2 countries.

Jesus M BanalesDepartment of Liver and Gastrointestinal Diseases, Biodonostia Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain.
Mercedes IñarrairaeguiNational Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), Madrid, Spain.
Ander ArbelaizDepartment of Liver and Gastrointestinal Diseases, Biodonostia Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain.
Piotr MilkiewiczLiver and Internal Medicine Unit, Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Jordi MuntanéNational Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), Madrid, Spain.
Luis Muñoz-BellvisService of General and Gastrointestinal Surgery, University Hospital of Salamanca, Biomedical Research Institute of Salamanca (IBSAL), CIBERONC, Salamanca, Spain.
Adelaida La CastaDepartment of Liver and Gastrointestinal Diseases, Biodonostia Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain.
Luis M GonzalezService of General and Gastrointestinal Surgery, University Hospital of Salamanca, Biomedical Research Institute of Salamanca (IBSAL), CIBERONC, Salamanca, Spain.
Enara ArretxeOWL Metabolomics, Bizkaia Technology Park, Derio, Spain.
Cristina AlonsoOWL Metabolomics, Bizkaia Technology Park, Derio, Spain.
Ibon Martínez-ArranzOWL Metabolomics, Bizkaia Technology Park, Derio, Spain.
Ainhoa LapitzDepartment of Liver and Gastrointestinal Diseases, Biodonostia Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain.
Alvaro Santos-LasoDepartment of Liver and Gastrointestinal Diseases, Biodonostia Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain.
Matias A AvilaNational Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), Madrid, Spain.
Maria L Martínez-ChantarNational Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), Madrid, Spain.
Luis BujandaDepartment of Liver and Gastrointestinal Diseases, Biodonostia Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU), San Sebastian, Spain.
Jose J G MarinNational Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), Madrid, Spain.
Bruno SangroNational Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), Madrid, Spain.
Rocio I R MaciasNational Institute for the Study of Liver and Gastrointestinal Diseases (CIBERehd, Carlos III Health Institute), Madrid, Spain.ORCID 0000-0002-4748-0326
University of the Basque Country · ESInstituto de Salud Carlos III · ESEuskadiko Parke Teknologikoa · ESInstituto de Investigación Biomédica de Salamanca · ESIkerbasque · ESMedical University of Warsaw · PLUniversidad de Salamanca · ES

Funding

AECC Scientific Foundation 2017/20Andalusian Government CTS-6264Basque Country Department of Health 2013111114Basque Country Department of Health 2013111173Basque Country Department of Health 2017111010Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd) EHD15PI05Consejería de Salud PI-0198-2016Diputación Foral de Guipuzkoa DFG15/010Diputación Foral de Guipuzkoa DFG16/004European Comission Horizon 2020 project SEP-210503876Ikerbasque, Basque Foundation for Science BIO15/CA/016/BDInstituto de Salud Carlos III PI15/01132Instituto de Salud Carlos III PI16/00090Instituto de Salud Carlos III PI16/00598Instituto de Salud Carlos III PI16/01126Instituto de Salud Carlos III PI16/01845Instituto de Salud Carlos III PI18/01075Junta de Castilla y León, Spain SA063P17Miguel Servet Programme CON14/00129Secretaría de Estado de Investigación, Desarrollo e Innovación SAF2016-75197-RSecretaría de Estado de Investigación, Desarrollo e Innovación SAF2017-87301-R
6 · The paper itself

Abstract

Early and differential diagnosis of intrahepatic cholangiocarcinoma (iCCA) and hepatocellular carcinoma (HCC) by noninvasive methods represents a current clinical challenge. The analysis of low-molecular-weight metabolites by new high-throughput techniques is a strategy for identifying biomarkers. Here, we have investigated whether serum metabolome can provide useful biomarkers in the diagnosis of iCCA and HCC and could discriminate iCCA from HCC. Because primary sclerosing cholangitis (PSC) is a risk factor for CCA, serum metabolic profiles of PSC and CCA have also been compared. The analysis of the levels of lipids and amino acids in the serum of patients with iCCA, HCC, and PSC and healthy individuals (n = 20/group) showed differential profiles. Several metabolites presented high diagnostic value for iCCA versus control, HCC versus control, and PSC versus control, with areas under the receiver operating characteristic curve (AUC) greater than those found in serum for the nonspecific tumor markers carbohydrate antigen 19-9 (CA 19-9) and alpha-fetoprotein (AFP), commonly used to help in the diagnosis of iCCA and HCC, respectively. The development of an algorithm combining glycine, aspartic acid, SM(42:3), and SM(43:2) permitted to accurately differentiate in the diagnosis of both types of tumors (biopsy-proven). The proposed model yielded 0.890 AUC, 75% sensitivity, and 90% specificity. Another algorithm by combination of PC(34:3) and histidine accurately permitted to differentiate PSC from iCCA, with an AUC of 0.990, 100% sensitivity, and 70% specificity. These results were validated in independent cohorts of 14-15 patients per group and compared with profiles found in patients with nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. Conclusion: Specific changes in serum concentrations of certain metabolites are useful to differentiate iCCA from HCC or PSC, and could help in the early diagnosis of these diseases.

Indexed as

MetabolomeAdultAgedAged, 80 and overBile Duct NeoplasmsBiomarkersCarcinoma, HepatocellularCholangiocarcinomaCholangitis, SclerosingDiagnosis, DifferentialFemaleHumansLiver NeoplasmsMaleMiddle AgedRetrospective StudiesBiomarkers

Identifiers

PMID30325540
PMCPMC6767196
OpenAlexW2897629267

What OpenQuestion holds

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Registered trials

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.