Evidence map›Paper›PMID 35737090›Full record

ArticleJournal of cancer research and clinical oncology2023

Serum biomarker panel diagnostics in pancreatic ductal adenocarcinoma: the clinical utility of soluble interleukins, IFN-γ, TNF-α and PD-1/PD-L1 in comparison to established serum tumor markers.

Klara Dorman, Miriam Gerckens, Stephan Kruger, Kimberly Krueger, Zsuzsanna Mayer, Alexander Rupp, Danmei Zhang, Lena Weiss, C Benedikt Westphalen, Michael Haas and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 10 citations in OpenAlex.

  1. Interleukin-8 in health and disease.Molecular biomedicine · 2026
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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

18 authors at 6 institutions in 1 country.

Klara Dorman *Department of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Miriam Gerckens *Department of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Stephan KrugerDepartment of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Kimberly KruegerMunich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center, Technical University of Munich, Munich, Germany.
Zsuzsanna MayerMunich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center, Technical University of Munich, Munich, Germany.
Alexander RuppMunich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center, Technical University of Munich, Munich, Germany.
Danmei ZhangDepartment of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Lena WeissDepartment of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
C Benedikt WestphalenDepartment of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Michael HaasDepartment of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Michael GuentherInstitute of Pathology, Faculty of Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany.
Steffen OrmannsInstitute of Pathology, Faculty of Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany.
Frank KlawonnMunich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center, Technical University of Munich, Munich, Germany.
Jens WernerDepartment of General, Visceral and Transplant Surgery, Ludwig-Maximilians-University of Munich, Munich, Germany.
Michael von Bergwelt-BaildonDepartment of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Volker HeinemannDepartment of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Stefan Boeck *Department of Internal Medicine III and Comprehensive Cancer Center, Klinikum Grosshadern, Ludwig-Maximilians-University of Munich, Marchioninistr. 15, 81377, Munich, Germany. stefan.boeck@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-1922-2127
Stefan Holdenrieder *Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center, Technical University of Munich, Munich, Germany.
Ludwig-Maximilians-Universität München · DEDeutschen Konsortium für Translationale Krebsforschung · DEDeutsches Herzzentrum München · DECenter for Evaluation and Development · DEGerman Centre for Cardiovascular Research · DEOstfalia University of Applied Sciences · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNovel biomarkers to better predict outcome and select the best therapeutic strategy for the individual patient are necessary for pancreatic ductal adenocarcinoma (PDAC).

methodsUsing a panel assay, multiple biomarkers (IFN-γ, IL-10, IL-6, IL-8, TNF-α, CEA, CA 19-9, CYFRA 21-1, HE4, PD-1 and PD-L1 levels) were measured in serum samples of 162 patients with resected, locally advanced and metastatic PDAC in this retrospective single-center study. Optimal cut-off values to differentiate prognostic subgroups with significantly different overall survival (OS) were determined by receiver operator characteristics and Youden Index analysis. Marker levels were assessed before the start of chemotherapy and correlated with OS by univariate and multivariate Cox analysis.

resultsMedian OS for resected patients was 28.2 months, for locally advanced patients 17.9 months and for patients with metastatic disease 8.6 months. CYFRA 21-1 and IL-8 discriminated metastatic from locally advanced patients best (AUC 0.85 and AUC 0.81, respectively). In univariate analyses, multiple markers showed prognostic relevance in the various subgroups. However, multivariate Cox models comprised only CYFRA 21-1 in the resected group (HR 1.37, p = 0.015), IL-10 in locally advanced PDAC (HR 10.01, p = 0.014), as well as CYFRA 21-1 and CA 19-9 in metastatic PDAC (p = 0.008 and p = 0.010) as an independent prognostic marker for overall survival.

conclusionIL-10 levels may have independent prognostic value in locally advanced PDAC, whereas CYFRA 21-1 levels are prognostic after PDAC surgery. CYFRA 21-1 and IL-8 have been identified to best discriminate metastatic from locally advanced patients.

Indexed as

AdenocarcinomaCarcinoma, Pancreatic DuctalPancreatic NeoplasmsAntigens, NeoplasmB7-H1 AntigenBiomarkers, TumorHumansInterleukin-10Interleukin-8Keratin-19PrognosisProgrammed Cell Death 1 ReceptorRetrospective StudiesTumor Necrosis Factor-alphaantigen CYFRA21.1Antigens, NeoplasmB7-H1 AntigenBiomarkers, TumorInterleukin-10Interleukin-8Keratin-19Programmed Cell Death 1 ReceptorTumor Necrosis Factor-alphaBiomarkerCytokineInterleukinPancreatic cancerPD-1/PD-L1

Identifiers

PMID35737090
PMCPMC10130000
OpenAlexW4283327233

What OpenQuestion holds

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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.