Evidence map›Paper›PMID 33106532›Full record

ArticleScientific reports2020

Mesoscopic 3D imaging of pancreatic cancer and Langerhans islets based on tissue autofluorescence.

Max Hahn, Christoffer Nord, Oskar Franklin, Tomas Alanentalo, Martin Isaksson Mettävainio, Federico Morini, Maria Eriksson, Olle Korsgren, Malin Sund, Ulf Ahlgren

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

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  10. Three-dimensional analysis of human pancreatic cancer specimens by phase-contrast based X-ray tomography - the next dimension of diagnosis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
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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

10 authors at 2 institutions in 1 country.

Max HahnUmeå Centre for Molecular Medicine, Umeå University, Johan Bures väg 12, 901 87, Umeå, Sweden.
Christoffer NordUmeå Centre for Molecular Medicine, Umeå University, Johan Bures väg 12, 901 87, Umeå, Sweden.
Oskar FranklinDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Tomas AlanentaloUmeå Centre for Molecular Medicine, Umeå University, Johan Bures väg 12, 901 87, Umeå, Sweden.
Martin Isaksson MettävainioDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Federico MoriniUmeå Centre for Molecular Medicine, Umeå University, Johan Bures väg 12, 901 87, Umeå, Sweden.
Maria ErikssonUmeå Centre for Molecular Medicine, Umeå University, Johan Bures väg 12, 901 87, Umeå, Sweden.
Olle KorsgrenDepartment of Immunology, Genetics and Pathology, The Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
Malin SundDepartment of Medical Biosciences, Umeå University, Umeå, Sweden. Malin.Sund@umu.se.
Ulf AhlgrenUmeå Centre for Molecular Medicine, Umeå University, Johan Bures väg 12, 901 87, Umeå, Sweden. Ulf.Ahlgren@umu.se.
Umeå University · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The possibility to assess pancreatic anatomy with microscopic resolution in three dimensions (3D) would significantly add to pathological analyses of disease processes. Pancreatic ductal adenocarcinoma (PDAC) has a bleak prognosis with over 90% of the patients dying within 5 years after diagnosis. Cure can be achieved by surgical resection, but the efficiency remains drearily low. Here we demonstrate a method that without prior immunohistochemical labelling provides insight into the 3D microenvironment and spread of PDAC and premalignant cysts in intact surgical biopsies. The method is based solely on the autofluorescent properties of the investigated tissues using optical projection tomography and/or light-sheet fluorescence microscopy. It does not interfere with subsequent histopathological analysis and may facilitate identification of tumor-free resection margins within hours. We further demonstrate how the developed approach can be used to assess individual volumes and numbers of the islets of Langerhans in unprecedently large biopsies of human pancreatic tissue, thus providing a new means by which remaining islet mass may be assessed in settings of diabetes. Generally, the method may provide a fast approach to provide new anatomical insight into pancreatic pathophysiology.

Indexed as

Carcinoma, Pancreatic DuctalHumansImaging, Three-DimensionalIslets of LangerhansOptical ImagingPancreatic NeoplasmsTomography, OpticalTumor Microenvironment

Identifiers

PMID33106532
PMCPMC7588461
OpenAlexW3093928663

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.