Evidence map›Paper›PMID 35159087›Full record

ArticleCancers2022

Collagen Biomarkers Quantify Fibroblast Activity In Vitro and Predict Survival in Patients with Pancreatic Ductal Adenocarcinoma.

Neel I Nissen, Astrid Z Johansen, Inna Chen, Julia S Johansen, Rasmus S Pedersen, Carsten P Hansen, Morten A Karsdal, Nicholas Willumsen

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 37 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

8 authors at 3 institutions in 1 country.

Neel I NissenBiotech Research & Innovation Centre (BRIC), University of Copenhagen (UCPH), 2200 Copenhagen, Denmark.ORCID 0000-0002-8970-8798
Astrid Z JohansenDepartment of Oncology, Copenhagen University Hospital-Herlev and Gentofte, 2730 Herlev, Denmark.
Inna ChenDepartment of Oncology, Copenhagen University Hospital-Herlev and Gentofte, 2730 Herlev, Denmark.
Julia S JohansenDepartment of Oncology, Copenhagen University Hospital-Herlev and Gentofte, 2730 Herlev, Denmark.
Rasmus S PedersenBiomarkers & Research, Nordic Bioscience, 2730 Herlev, Denmark.
Carsten P HansenDepartment of Surgery, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark.
Morten A KarsdalBiomarkers & Research, Nordic Bioscience, 2730 Herlev, Denmark.
Nicholas WillumsenBiomarkers & Research, Nordic Bioscience, 2730 Herlev, Denmark.
Copenhagen University Hospital · DKUniversity of Copenhagen · DKNordic Bioscience (Denmark) · DK

Funding

Danish Research Foundation xxx
6 · The paper itself

Abstract

The use of novel tools to understand tumour-fibrosis in pancreatic ductal adenocarcinoma (PDAC) and novel anti-fibrotic treatments are highly needed. We established a pseudo-3D in vitro model including humane pancreatic fibroblasts (PFs) and pancreatic cancer-associated fibroblasts (CAFs) in combination with clinical collagen biomarkers, as a translational anti-fibrotic drug screening tool. Furthermore, we investigated the prognostic potential of serum collagen biomarkers in 810 patients with PDAC. PFs and CAFs were cultured in Ficoll-media. Cells were treated w/wo TGF-ß1 and the anti-fibrotic compound ALK5i. Biomarkers measuring the formation of type III (PRO-C3) and VI (PRO-C6) collagens were measured by ELISA in supernatant at days 3, 6, 9, and 12. PRO-C3 and PRO-C6, and their association with overall survival (OS), were evaluated in serum with PDAC (

Indexed as

biomarkersCAFcollagenextracellular matrixfibroblastsfibrosisPDACtumor

Identifiers

PMID35159087
PMCPMC8833921
OpenAlexW4210351446

What OpenQuestion 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 OpenQuestion graph.