Evidence map›Paper›PMID 26512875›Full record

ArticleBritish journal of cancer2015

Pancreatic preneoplastic lesions plasma signatures and biomarkers based on proteome profiling of mouse models.

Laetitia Ligat, Nathalie Saint-Laurent, Aïcha El-Mrani, Véronique Gigoux, Talal Al Saati, Richard Tomasini, Jérémy Nigri, Sébastien Dejean, Frédéric Pont, Romain Baer and 4 more

Abstract read
In one paragraph

Article in British journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Modeling pancreatic cancer in mice for experimental therapeutics.Biochimica et biophysica acta. Reviews on cancer · 2021
    Review
  3. Review
  4. Article
  5. Article
  6. 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

14 authors.

Laetitia LigatProteomics Group, Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Université Toulouse III-Paul Sabatier, Toulouse 31037, France.
Nathalie Saint-LaurentProteomics Group, Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Université Toulouse III-Paul Sabatier, Toulouse 31037, France.
Aïcha El-MraniProteomics Group, Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Université Toulouse III-Paul Sabatier, Toulouse 31037, France.
Véronique GigouxEA 4552, Université Toulouse III-Paul Sabatier, Toulouse 31432, France.
Talal Al SaatiINSERM-US006 ANEXPLO/CREFRE-Histology facility, Toulouse 31024, France.
Richard TomasiniCentre de Recherches en Cancérologie de Marseille (CRCM), Inserm U1068, Institut Paoli-Calmettes, Université Aix-Marseille, CNRS, UMR7258, Marseille 13288, France.
Jérémy NigriCentre de Recherches en Cancérologie de Marseille (CRCM), Inserm U1068, Institut Paoli-Calmettes, Université Aix-Marseille, CNRS, UMR7258, Marseille 13288, France.
Sébastien DejeanInstitut de Mathématiques de Toulouse, UMR 5219 CNRS, Université Toulouse III-Paul Sabatier, Toulouse 31062, France.
Frédéric PontProteomics Group, Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Université Toulouse III-Paul Sabatier, Toulouse 31037, France.
Romain BaerCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Université Toulouse III-Paul Sabatier, Equipe Labellisée Ligue Contre le Cancer, Toulouse 31037, France.
Julie Guillermet-GuibertCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Université Toulouse III-Paul Sabatier, Equipe Labellisée Ligue Contre le Cancer, Toulouse 31037, France.
Pierre CordelierCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Université Toulouse III-Paul Sabatier, Toulouse 31037, France.
Frédéric LopezProteomics Group, Centre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Université Toulouse III-Paul Sabatier, Toulouse 31037, France.
Marlène DufresneCentre de Recherches en Cancérologie de Toulouse (CRCT), INSERM UMR1037, Université Toulouse III-Paul Sabatier, Toulouse 31037, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a mortality that is almost identical to incidence. Because early detected PDAC is potentially curable, blood-based biomarkers that could detect currently developing neoplasia would improve patient survival and management. PDAC develops from pancreatic intraepithelial neoplasia (PanIN) lesions, graded from low grade (PanIN1) to high grade (PanIN3). We made the hypothesis that specific proteomic signatures from each precancerous stage exist and are detectable in plasma.

methodsWe explored the peptide profiles of microdissected PanIN cells and of plasma samples corresponding to the different PanIN grade from genetically engineered mouse models of PDAC using capillary electrophoresis coupled to mass spectrometry (CE-MS) and Chip-MS/MS.

resultsWe successfully characterised differential peptides profiles from PanIN microdissected cells. We found that plasma from tumor-bearing mice and age-matched controls exhibit discriminative peptide signatures. We also determined plasma peptide signatures corresponding to low- and high-grade precancerous step present in the mice pancreas using the two mass spectrometry technologies. Importantly, we identified biomarkers specific of PanIN3.

conclusionsWe demonstrate that benign and advanced PanIN lesions display distinct plasma peptide patterns. This strongly supports the perspectives of developing a non-invasive screening test for prediction and early detection of PDAC.

Indexed as

AnimalsBiomarkers, TumorCarcinoma in SituCarcinoma, Pancreatic DuctalDisease Models, AnimalMiceNeoplasm ProteinsPancreatic NeoplasmsPeptidesPrecancerous ConditionsProtein Array AnalysisProteomeBiomarkers, TumorNeoplasm ProteinsPeptidesProteome

Identifiers

PMID26512875
PMCPMC4705884

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.