Evidence map›Paper›PMID 31072353›Full record

ArticleBMC cancer2019

Differences in colonic crypt morphology of spontaneous and colitis-associated murine models via second harmonic generation imaging to quantify colon cancer development.

Sandra P Prieto, Cassandra L Reed, Haley M James, Kyle P Quinn, Timothy J Muldoon

Abstract read
In one paragraph

Article in BMC cancer, 2019. 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.

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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

5 authors.

Sandra P PrietoBiomedical Engineering Department, University of Arkansas, Fayetteville, AR, 72701, USA.ORCID http://orcid.org/0000-0002-2261-3065
Cassandra L ReedBiomedical Engineering Department, University of Arkansas, Fayetteville, AR, 72701, USA.
Haley M JamesBiomedical Engineering Department, University of Arkansas, Fayetteville, AR, 72701, USA.
Kyle P QuinnBiomedical Engineering Department, University of Arkansas, Fayetteville, AR, 72701, USA.
Timothy J MuldoonBiomedical Engineering Department, University of Arkansas, Fayetteville, AR, 72701, USA. tmuldoon@uark.edu.

Funding

The role of optical biomarkers in endoscopic detection and therapeutic monitoring of gastrointestinal cancerR15CA202662 · NCI · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI MULDOON, TIMOTHY J · 2016 to 2016
$442k
Arkansas Biosciences Institute N/AFoundation for the National Institutes of Health 1R15CA202662-01NCI NIH HHS R15 CA202662
6 · The paper itself

Abstract

backgroundColorectal cancer remains the second leading cause of cancer death in the United States, and increased risk in patients with ulcerative colitis (a subset of inflammatory bowel disease) has motivated studies into early markers of dysplasia. The development of clinically translatable multiphoton imaging systems has allowed for the potential of in vivo label-free imaging of epithelial crypt structures via autofluorescence and/or second harmonic generation (SHG). SHG has been used to investigate collagen structures in various types of cancer, though the changes that colorectal epithelial collagen structures undergo during tumor development, specifically colitis-associated tumors, have not been fully investigated.

methodsThis study used two murine models, using A/J mice, one for spontaneous carcinoma and one for colitis-associated carcinoma, to investigate and quantify SHG image features that could potentially inform future study designs of endoscopic multiphoton imaging systems. The spontaneous tumor model comprised a series of six weekly injections of azoxymethane (AOM model). The colitis-associated tumor model comprised a single injection of AOM, followed by cycles of drinking water with dissolved dextran sodium sulfate salt (AOM-DSS model). SHG images of freshly resected murine colon were acquired with a multiphoton imaging system, and image features, such as crypt size, shape and distribution, were quantified using an automated algorithm.

resultsThe comparison of quantified features of crypt morphology demonstrated the ability of our quantitative image feature algorithms to detect differences between spontaneous (AOM model) and colitis-associated (AOM-DSS model) murine colorectal tissue specimens. There were statistically significant differences in the mean and standard deviation of nearest neighbor (distance between crypts) and circularity between the Control cohort, AOM and AOM-DSS cohorts. We also saw significance between AOM and AOM-DSS cohorts when calculating nearest neighbor in images acquired at fixed depths.

conclusionThe results provide insight into the ability of SHG imaging to yield relevant data about the crypt microstructure in colorectal epithelium, specifically the potential to distinguish between spontaneous and colitis-associated murine models using quantification of crypt shape and distribution, informing future design of translational multiphoton imaging systems and protocols.

Indexed as

Second Harmonic Generation MicroscopyAnimalsColitisColonColonic NeoplasmsDextran SulfateDisease Models, AnimalDisease ProgressionHumansIntestinal MucosaMiceDextran SulfateAzoxymethaneColorectal cancerCrypt morphologyDextran sulfate sodium saltImage analysisInflammatory bowel diseaseMultiphotonSecond harmonic generation

Identifiers

PMID31072353
PMCPMC6507102

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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.