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Record W1989952792 · doi:10.1158/1940-6207.prev-11-a68

Abstract A68: Insulin-like growth factor-1, insulin-like growth factor binding protein-3, and lobule type in the Nurses' Health Study II

2011· article· en· W1989952792 on OpenAlexaff
Megan S. Rice, Rulla M. Tamimi, James L. Connolly, Laura C. Collins, Dejun Shen, Michaël Pollak, Bernard Rosner, Susan E. Hankinson, Shelley S. Tworoger

Bibliographic record

VenueCancer Prevention Research · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsConcordia UniversityMcGill University
Fundersnot available
KeywordsBiopsyInternal medicineMedicineInvolution (esoterism)EndocrinologyPathologyInsulin-like growth factorType 2 diabetesUnivariate analysisOncologyMultivariate analysisBiologyGrowth factorDiabetes mellitusReceptor

Abstract

fetched live from OpenAlex

Abstract Introduction: Previous research in the Nurses' Health Study (NHS) and NHSII observed that, among women diagnosed with benign breast disease (BBD), those with predominant type 1/no type 3 lobules (a marker of complete involution) versus other lobule types were at lower risk of subsequent breast cancer. Studies in animal models suggest that insulin-like growth factor-1 (IGF-1) may inhibit involution of lobules in the breast; however, this has not been studied in humans. Methods: We conducted a cross-sectional study among 472 women in the NHSII who were diagnosed with biopsy-confirmed proliferative BBD between 1991 and 2002 and provided blood samples between 1996 and 1999. A pathologist, blinded to exposure status, classified lobule type in normal adjacent tissue on available biopsy slides according to the number of acini per lobule. For each participant, the pathologist determined the predominant lobule type (i.e., type 1, 2, or 3) and whether any type 1 or any type 3 lobules were present. Lobule type then was classified as: 1) predominant type 1/no type 3 lobules, which is suggestive of complete involution or 2) other lobule types. Multivariate logistic models were used to assess the associations between plasma IGF-1, IGF binding protein-3 (IGFBP-3), and the ratio of IGF-1-to-IGFBP-3 levels with lobule type. Results: In univariate analyses, greater age, higher body mass index, postmenopausal status, nulliparity, and lower IGF-1 levels were associated with predominant type1/no type 3 lobules (p<0.05). In multivariate models adjusting for age and assay batch, higher IGF-1 levels were associated with decreased odds of predominant type 1/no type 3 lobules (OR quartile 4 vs. quartile 1=0.37, 95%CI: 0.15–0.89). Greater ratios of IGF-1-to-IGFBP-3 levels also were associated with decreased odds of predominant type1/no type 3 lobules (OR quartile 4 vs. quartile 1=0.26, 95%CI: 0.11–0.64). These results were slightly attenuated after adjustment for other potential predictors of lobule type. Conclusion: Higher IGF-1 levels and a greater IGF-1-to-IGFBP-3 ratio were associated with decreased odds of having predominant type 1 lobules/no type 3 lobules among women with proliferative BBD in the NHSII. This study provides further evidence for the role of growth factors in the structure of breast lobules and lobular involution. Citation Information: Cancer Prev Res 2011;4(10 Suppl):A68.

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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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.170
GPT teacher head0.435
Teacher spread0.265 · 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.

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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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