Evidence map›Paper›PMID 36699667›Full record

ArticleJHEP reports : innovation in hepatology2023

Development and validation of circulating protein signatures as diagnostic biomarkers for biliary tract cancer.

Troels D Christensen, Emil Maag, Ole Larsen, Claus L Feltoft, Kaspar René Nielsen, Lars Henrik Jensen, Bonna Leerhøy, Carsten P Hansen, Inna M Chen, Dorte L Nielsen and 1 more

Open access · goldAbstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2023. 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
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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

11 authors at 6 institutions in 1 country.

Troels D ChristensenDeparment of Oncology, Copenhagen University Hospital - Herlev and Gentofte Hospital, Herlev, Denmark.
Emil MaagBioXpedia, Aarhus, Denmark.
Ole LarsenDeparment of Oncology, Copenhagen University Hospital - Herlev and Gentofte Hospital, Herlev, Denmark.
Claus L FeltoftDepartment of Medicine, Copenhagen University Hospital - Herlev and Gentofte Hospital, Herlev, Denmark.
Kaspar René NielsenDepartment of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark.
Lars Henrik JensenDepartment of Oncology, University Hospital of Southern Denmark, Vejle, Denmark.
Bonna LeerhøyDigestive Disease Center, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Carsten P HansenDepartment of Surgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Inna M ChenDeparment of Oncology, Copenhagen University Hospital - Herlev and Gentofte Hospital, Herlev, Denmark.
Dorte L NielsenDeparment of Oncology, Copenhagen University Hospital - Herlev and Gentofte Hospital, Herlev, Denmark.
Julia S JohansenDeparment of Oncology, Copenhagen University Hospital - Herlev and Gentofte Hospital, Herlev, Denmark.
Gentofte Hospital · DKUniversity of Copenhagen · DKAalborg University Hospital · DKCopenhagen University Hospital · DKFrederiksberg Hospital · DKRegion of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Biliary tract cancer (BTC) is associated with a dismal prognosis, partly because it is typically diagnosed late, highlighting the need for diagnostic biomarkers. The purpose of this project was to identify and validate multiprotein signatures that could differentiate patients with BTC from non-cancer controls. Methods: In this study, we included treatment-naïve patients with BTC, healthy controls, and patients with benign conditions including benign biliary tract disease. Participants were divided into three non-overlapping cohorts: a case-control-based discovery cohort (BTC = 186, controls = 249); a case-control-based validation cohort (validation cohort 1: BTC = 113, controls = 241); and a cohort study-based validation cohort including participants (BTC = 8, controls = 132) referred for diagnostic work-up for suspected cancer (validation cohort 2). Immuno-Oncology (I-O)-related proteins were measured in serum and plasma using a proximity extension assay (Olink Proteomics). Lasso and Ridge regressions were used to generate protein signatures of I-O-related proteins and carbohydrate antigen 19-9 (CA19-9) in the discovery cohort. Results: Sixteen protein signatures, including 2 to 82 proteins, were generated. All signatures included CA19-9 and chemokine C-C motif ligand 20. Signatures discriminated between patients with BTC Conclusion: The study demonstrated that it is possible to generate protein signatures that can successfully differentiate patients with BTC from non-cancer controls. Impact and implications: We attempted to find blood sample-based protein profiles that could differentiate patients with biliary tract cancer from those without cancer. Several profiles were found and tested in different groups of patients. The profiles were successful at identifying most patients with biliary tract cancer, pointing towards the utility of multiprotein signatures in this context.

Indexed as

AUC, area under receiver-operating characteristic curveBBTD, benign biliary tract diseasebiliary tract cancerblood protein assayBP, best pointBTC, biliary tract cancerCA19-9, carbohydrate antigen 19-9CAIX, carbonic anhydrase IXCASP8, caspase 8CCA, cholangiocarcinomaCCL, chemokine (C-C motif) ligandcholangiocarcinomaCXCR, C-X-C motif chemokinedCCA, distal cholangiocarcinomadiagnosisEDTA, ethylenediaminetetraacetic acidgall bladder cancerGBC, gall bladder canceriCCA, intrahepatic cholangiocarcinomaIL, interleukinI-O, immuno-oncologyMMP-, matrix metalloproteinase-multi-biomarker signatureNPX, normalized protein expressionpCCA, perihilar cholangiocarcinomaTME, tumor microenvironment

Identifiers

PMID36699667
PMCPMC9867981
OpenAlexW4311421887

What Socratic 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 Socratic graph.