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Record W2580588788

Use of animal models in colorectal cancer prevention.

2006· article· en· W2580588788 on OpenAlexaff
Steven Gallinger

Bibliographic record

VenueCancer Epidemiology and Prevention Biomarkers · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAzoxymethaneColorectal cancerCarcinogenAberrant crypt fociCancer preventionCarcinogenesisCancerMedicineGenetic modelCancer researchKnockout mouseGermline mutationMouse model of colorectal and intestinal cancerBiologyMutationGeneticsInternal medicineGeneColonic disease
DOInot available

Abstract

fetched live from OpenAlex

CS01-03 Considerable progress has been made in developing relevant animal models for studies of the mechanisms of colorectal tumorigenesis and for colorectal cancer prevention investigations. Early rat and mouse models were based on the administration of carcinogens (primarily azoxymethane and 1,2-dimethylhydrazine) to induce the development of precursor colorectal aberrant crypt foci (ACF), polyps, and invasive tumors. More recently, genetically modified mice (such as the multiple intestinal neoplasia, Min, mouse with a truncating germline Apc mutation) have become popular for studies of chemopreventive and dietary factors in colorectal cancer. In addition, genetic crosses of Min mice with other knockout mouse models (such as mismatch repair deficient mice, Igf-2, EphB2, and many others) are important in understanding genetic modifiers of bowel neoplasia and gene x environment interactions. Models that mimic our 9bad Western diet9 (eg. the NWD diet in C57BL/6 mice) are attractive alternatives to carcinogen-induced models or genetically manipulated mice, however long periods of observation are necessary to induce phenotypic changes in the colonic mucosa. In general, it is fair to state that almost all popular human colorectal cancer prevention strategies, from dietary manipulations (such as folate or calcium supplementation), to both old (eg. aspirin) and new (COX-2 inhibitors) drugs, have been evaluated in both carcinogen-induced and genetically modified animal models. In most cases, simple enumeration of polyps has demonstrated the preventive effects of these strategies, and in some cases, investigators have been able to dissect pathways where these agents block the development of ACF or polyps. Not surprisingly, the preventive effects of almost all of these agents are exaggerated in rodent models, compared to more 9blunted9 effects in humans. The reasons for the differential responses of mice compared to humans are multifactorial including; genetic homogeneity of mice compared to genetic heterogeneity of humans, physiologic differences in gut motility, hormones, and immune surveillance, and differences in somatic genetic events during the ACF-to-adenoma-to-carcinoma sequence in mouse compared to human colorectal neoplasia. For example, the Min mouse, which is the 9mainstay9 of many colorectal cancer prevention studies develops primarily small bowel polyps as opposed to large bowel adenomas or cancer. Despite the aforementioned limitations, small animal models provide an efficient, inexpensive and safe surrogate for rapidly testing colorectal cancer prevention strategies. Moreover, approaches that are seemingly effective in preventing the early stages of colorectal tumorigenesis (such as folate supplementation), have been shown to actually promote tumor growth in later stages of the polyp-cancer sequence. This type of observation in mice is important in polyp prevention studies in humans where folate supplementation may actually be harmful in subjects already predisposed to colorectal neoplasia. Future advances in model development will require combinations of dietary and genetic manipulation of rodents or other inexpensive animals to more accurately mimic the various factors that contribute to colorectal neoplasia in humans. As epidemiologic and molecular studies demonstrate the heterogeneity of tumor development in different populations (eg the microsatellite instability or CIMP pathways), it is likely that a single model will not suffice. Moreover, larger animal models (eg. rats vs mice) are needed to provide investigators with the opportunity to survey and monitor polyp development in vivo using mini-endoscopic strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.613

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.339
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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