Evidence map›Paper›PMID 33820913›Full record

ArticleScientific reports2021

Plasma biomarkers for prediction of early tumor recurrence after resection of pancreatic ductal adenocarcinoma.

Marie-Claire Rittmann, Saskia Hussung, Lukas M Braun, Rhena F U Klar, Esther A Biesel, Stefan Fichtner-Feigl, Ralph Fritsch, Uwe A Wittel, Dietrich A Ruess

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 13 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

9 authors at 3 institutions in 2 countries.

Marie-Claire RittmannDepartment of General and Visceral Surgery, Medical Center and Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Saskia HussungDepartment of Medicine I, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Lukas M BraunDepartment of General and Visceral Surgery, Medical Center and Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Rhena F U KlarDepartment of Medicine I, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Esther A BieselDepartment of General and Visceral Surgery, Medical Center and Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Stefan Fichtner-FeiglDepartment of General and Visceral Surgery, Medical Center and Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Ralph FritschDepartment of Medicine I, Medical Center and Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Uwe A WittelDepartment of General and Visceral Surgery, Medical Center and Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany. uwe.wittel@uniklinik-freiburg.de.
Dietrich A RuessDepartment of General and Visceral Surgery, Medical Center and Faculty of Medicine, University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
University of Freiburg · DEUniversity Hospital of Zurich · CHUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a disease with a very unfavorable prognosis. Surgical resection represents the only potentially curative treatment option, but recurrence after complete resection is almost certain. In an exploratory attempt we here aimed at identifying preoperative plasma protein biomarkers with the potential to predict early recurrence after resection of PDAC. Peripheral blood samples from 14 PDAC patients divided into three groups according to their time to tumor recurrence after curatively intended resection (early: < 6 months, medium: 6-12 months, late: > 12 months) underwent targeted proteome analysis. Proteins most strongly discriminating early and late recurrence were then examined in a number of established PDAC cell lines and their culture supernatants. Finally, PDAC organoid lines from primary tumors of patients with early and late recurrence were analyzed for confirmation and validation of results. In total, 23 proteins showed differential abundance in perioperative plasma from PDAC patients with early recurrence when compared to patients with late recurrence. Following confirmation of expression on a transcriptional and translational level in PDAC cell lines we further focused on three upregulated (MAEA, NT5E, AZU1) and two downregulated proteins (ATP6AP2, MICA). Increased expression of NT5E was confirmed in a subset of PDAC organoid cultures from tumors with early recurrence. MICA expression was heterogeneous and ATP6AP2 levels were very similar in both organoids from early and late recurrent tumors. Most strikingly, we observed high MAEA expression in all tested PDAC (n = 7) compared to a non-cancer ductal organoid line. MAEA also demonstrated potential to discriminate early recurrence from late recurrence PDAC organoids. Our study suggests that identification of plasma protein biomarkers released by tumor cells may be feasible and of value to predict the clinical course of patients. Prediction of recurrence dynamics would help to stratify up-front resectable PDAC patients for neoadjuvant chemotherapy approaches in an individualized fashion. Here, MAEA and NT5E were the most promising candidates for further evaluation.

Indexed as

AdenocarcinomaAdultAgedBiomarkers, TumorCarcinoma, Pancreatic DuctalCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoplasm Recurrence, LocalPancreatic Stellate CellsRNA, MessengerBiomarkers, TumorRNA, Messenger

Identifiers

PMID33820913
PMCPMC8021576
OpenAlexW3146625365

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.