Evidence map›Paper›PMID 30819202›Full record

ArticleJournal of translational medicine2019

Computer-aided assessment of the extra-cellular matrix during pancreatic carcinogenesis: a pilot study.

Fabio Grizzi, Sirio Fiorino, Dorina Qehajaj, Adele Fornelli, Carlo Russo, Dario de Biase, Michele Masetti, Laura Mastrangelo, Matteo Zanello, Raffaele Lombardi and 9 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

19 authors.

Fabio GrizziDepartment of Immunology and Inflammation, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy. fabio.grizzi@humanitasresearch.it.ORCID 0000-0003-0925-742X
Sirio FiorinoInternal Medicine Unit, Maggiore Hospital, Bologna, Italy.
Dorina QehajajDepartment of Immunology and Inflammation, Humanitas Clinical and Research Center-IRCCS, Rozzano, Milan, Italy.
Adele FornelliAnatomic Pathology Service, Maggiore Hospital, Bologna, Italy.
Carlo Russo"Michele Rodriguez" Foundation-Institute for Quantitative Measures in Medicine, Milan, Italy.
Dario de BiaseDepartment of Pharmacy and Biotechnology (FaBiT), University of Bologna, Bologna, Italy.
Michele MasettiSurgery Unit, Maggiore Hospital, Bologna, Italy.
Laura MastrangeloSurgery Unit, Maggiore Hospital, Bologna, Italy.
Matteo ZanelloSurgery Unit, Maggiore Hospital, Bologna, Italy.
Raffaele LombardiSurgery Unit, Maggiore Hospital, Bologna, Italy.
Andrea DomanicoUltrasound Center Internal Medicine A, Maggiore Hospital, Bologna, Italy.
Esterita AccogliUltrasound Center Internal Medicine A, Maggiore Hospital, Bologna, Italy.
Andrea TuraCNR Institute of Neuroscience, Padua, Italy.
Leonardo MirandolaKiromic Biopharma, Inc., Houston, TX, USA.
Maurizio Chiriva-InternatiKiromic Biopharma, Inc., Houston, TX, USA.
Robert S BresalierDepartment of Gastroenterology, Hepatology & Nutrition, Division of Internal Medicine, The University of Texas MD Anderson Cancer, Houston, TX, USA.
Elio JovineSurgery Unit, Maggiore Hospital, Bologna, Italy.
Paolo LeandriInternal Medicine Unit, Maggiore Hospital, Bologna, Italy.
Luca Di TommasoHumanitas University, Rozzano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA hallmark of pancreatic ductal adenocarcinoma is the desmoplastic reaction, but its impact on the tumor behavior remains controversial. Our aim was to introduce a computer -aided method to precisely quantify the amount of pancreatic collagenic extra-cellular matrix, its spatial distribution pattern, and the degradation process.

methodsA series of normal, inflammatory and neoplastic pancreatic ductal adenocarcinoma formalin-fixed and paraffin-embedded Sirius red stained sections were automatically digitized and analyzed using a computer-aided method.

resultsWe found a progressive increase of pancreatic collagenic extra-cellular matrix from normal to the inflammatory and pancreatic ductal adenocarcinoma. The two-dimensional fractal dimension showed a significant difference in the collagenic extra-cellular matrix spatial complexity between normal versus inflammatory and pancreatic ductal adenocarcinoma. A significant difference when comparing the number of cycles necessary to degrade the pancreatic collagenic extra-cellular matrix in normal versus inflammatory and pancreatic ductal adenocarcinoma was also found. The difference between inflammatory and pancreatic ductal adenocarcinoma was also significant. Furthermore, the mean velocity of collagenic extra-cellular matrix degradation was found to be faster in inflammatory and pancreatic ductal adenocarcinoma than in normal.

conclusionThese findings demonstrate that inflammatory and pancreatic ductal adenocarcinomas are characterized by an increased amount of pancreatic collagenic extra-cellular matrix and by changes in their spatial complexity and degradation. Our study defines new features about the pancreatic collagenic extra-cellular matrix, and represents a basis for further investigations into the clinical behavior of pancreatic ductal adenocarcinoma and the development of therapeutic strategies.

Indexed as

Diagnosis, Computer-AssistedAgedCarcinogenesisCollagenComputer SimulationExtracellular MatrixFemaleFractalsHumansMaleMiddle AgedPancreasPancreatic NeoplasmsPilot ProjectsCollagenDegradationExtra-cellular matrixFractalsModelingPancreatic adenocarcinoma

Identifiers

PMID30819202
PMCPMC6393991

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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.