Evidence map›Paper›PMID 39738320›Full record

ArticleScientific reports2024

Profiling protease cleavage patterns in plasma for pancreatic cancer detection.

Morgan R Stewart, Arnaud Quentel, Elise Manalo, Jose Montoya Mira, Srivathsan Ranganathan, Bruce P Branchaud, Jared M Fischer, Eugene Tu, Fehmi Civitci, Yu-Jui Chiu and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Morgan R StewartCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Arnaud QuentelCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Elise ManaloCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Jose Montoya MiraCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Srivathsan RanganathanCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Bruce P BranchaudCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Jared M FischerCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Eugene TuCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Fehmi CivitciCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Yu-Jui ChiuCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA.
Adem YildirimCEDAR, Knight Cancer Institute, School of Medicine, Oregon Health and Science University, Portland, OR, 97201, USA. yildirim@ohsu.edu.

Funding

Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University Full 2020-1287
6 · The paper itself

Abstract

Proteases are promising biomarkers for cancer early detection. Their enzymatic activity against peptide substrates allows for their straightforward detection using low-cost tests. However, the complexity of the human proteome makes it challenging to develop sensitive and selective tests against a specific protease biomarker. Here, we report a different approach by utilizing the total protease activity in plasma samples to detect pancreatic cancer. Instead of targeting a specific protease using a specific peptide substrate, we utilized an array of 360 FRET substrates to screen for cleavage patterns in plasma samples collected from screen negatives and pancreatitis or pancreatic ductal adenocarcinoma cancer (PDAC) patients. In this proof of concept study, we first screened all 360 substrates using a small cohort (n = 13) to identify the top 5 substrates that best separate different conditions. Then, we performed a validation study using a larger cohort (n = 86) and the selected substrates. There was a statistically significant increase in the total protease activity in PDAC samples compared to screen negative and pancreatitis samples. The selected substrates detected PDAC with an area under the curve (AUC) of 0.8. This work represents a novel strategy for identifying peptide substrates for the detection of PDAC and other cancers.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalPancreatic NeoplasmsPeptide HydrolasesAgedEarly Detection of CancerFemaleHumansMaleMiddle AgedPancreatitisPeptidesProteolysisBiomarkers, TumorPeptide HydrolasesPeptides

Identifiers

PMID39738320
PMCPMC11686259

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.