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Record W2060814644 · doi:10.1097/ede.0b013e3181907a8c

Breast Cancer Risk and History of Being Breast-Fed

2008· letter· en· W2060814644 on OpenAlexaffabout
Shinya Ito

Bibliographic record

VenueEpidemiology · 2008
Typeletter
Languageen
FieldEnvironmental Science
TopicEffects and risks of endocrine disrupting chemicals
Canadian institutionsHospital for Sick ChildrenSickKids FoundationUniversity of Toronto
Fundersnot available
KeywordsBreast cancerMedicineBiomarkerBreastfeedingBreast milkCancerPollutantCarcinogenPhysiologyBreast feedingMammary glandOncologyInternal medicineGynecologyEndocrinologyEnvironmental healthPediatricsBiologyGeneticsEcologyBiochemistry

Abstract

fetched live from OpenAlex

To the Editor: The article by Nichols et al1 has addressed an important and complex issue. Because increasing birth order and younger maternal age are likely to be associated with lower levels of exposure to potentially carcinogenic environmental pollutants in breastmilk, the authors postulated that adult breast cancer risk would be lower in breastfed women with higher birth order, and in those breastfed by younger mothers. Their results showed that higher birth order is associated with reduced risk of breast cancer among those who were breastfed in infancy, but younger maternal age was not. Overall, breast cancer risk was substantially lower in breastfed women than formula-fed women, although the reduced risk was not apparent in the first-born women. The authors cite breastmilk contaminated with persistent organic pollutants (POPs) as a plausible mechanism to explain their findings. However, an equally plausible and not mutually exclusive hypothesis is that exposure to infant formula (or lack of human milk) is associated with increased risk of breast cancer. Toxic effects of POPs are orchestrated by arylhydrocarbon receptor (AhR) in the cell. AhR activation is the initial event of biologically significant exposures to POPs, which causes, among other things, cytochrome P4501A (CYP1A) induction, a biomarker of AhR activation. Therefore, we were surprised when we unexpectedly discovered that AhR is strongly activated, and CYP1A induced, in vitro by infant formula, but not by human milk.2 A recent study by Blake et al3 showed that CYP1A activity is significantly higher in formula-fed infants, consistent with our data.2 POPs are surely present in human milk, but the amount found in women may not be biologically meaningful. Breastmilk is still far better than infant formula under most circumstances for many other reasons. Because the findings by Nichols et al1 are important, it is even more important to be interpreted in a fair and balanced manner. Many studies including ours and Nichols’ have delved into the big black box. At least for now, the answers remain unclear. Shinya Ito Division of Clinical Pharmacology and Toxicology Hospital for Sick Children University of Toronto Toronto, Canada

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0050.002

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 head0.018
GPT teacher head0.315
Teacher spread0.296 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations3
Published2008
Admission routes2
Has abstractyes

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