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Low Glycemic Index Diet, Exercise and Vitamin D to Reduce Breast Cancer Recurrence: Rationale for the Design of a Clinical Trial

2016· article· en· W2606157768 on OpenAlexaff
Livia S. A. Augustin, Massimo Libra, Anna Crispo, Maria Grimaldi, Saverio Candido, Luca Falzone, Michelino De Laurentiis, David Jenkins, Gennaro Ciliberto, Maurizio Montella

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineBreast cancerGlycemic indexGlycemicInternal medicineGlycemic loadOncologyVitamin D and neurologyClinical trialRandomized controlled trialDiabetes mellitusCancerPhysical therapyEndocrinology

Abstract

fetched live from OpenAlex

Background Breast cancer (BC) survival rates in Europe reach about 70% suggesting a large residual risk. Women with BC may suffer from other chronic conditions (diabetes) which increase the risk of recurrence and reduce survival. Mechanisms of BC include hyperglycemia, hyperinsulinemia, high estrogen levels, insulin‐like growth factors (IGF), inflammation and impaired cellular differentiation/apoptosis. A lifestyle program that targets all the above mechanisms may be warranted. Low glycemic index (GI) foods have low glycemic and insulinemic potentials and have been associated with lower BC risk. Moderate physical activity post‐diagnosis reduces BC recurrence and mortality which is partly explained by reduced insulin and estrogen levels. Vitamin D alters genes implicated in cell differentiation/apoptosis and high serum vitamin D levels have shown improved BC survival. Dietary interventions have been associated with molecular changes (microRNA) which can alter cellular signaling (IGF‐1). To our knowledge no trial has evaluated the combined effect of a lifestyle program with focus on low GI, additional physical activity and supplemental vitamin D on BC recurrence in the context of a Mediterranean lifestyle setting. Hypothesis and Objectives Our hypothesis is that the program of low GI diet, vitamin D and exercise will significantly reduce BC recurrence in women with BC by 12%. Primary objective: to test the effectiveness of the program in reducing BC recurrence. Secondary objectives: to test the potential effects of the program on cardiometabolic profiles, on adjuvant therapy side effects and quality of life. Tertiary objectives: to identify distinct plasma miRNA expression patterns associated with BC recurrence. Setting and Methods Women with BC (n=506) who had undergone surgery for primary histologically confirmed BC within the previous 12 months (stage II and III without metastasis) in cancer centres in Italy, will be randomized to follow for 3 years either the high intensity arm (low GI + exercise + vitamin D to reach serum 80ng/mL) or the lower intensity arm (general advice on a healthy diet and exercise + vitamin D to avoid insufficiency). Both interventions are on a background of Mediterranean diet. Clinic visits will be scheduled every 3 months. Dietary and exercise counselling and vitamin D supplements will be given at each clinic visit when blood samples, anthropometric measures and 3‐day food records will be collected. Results This presentation will discuss the rationale and methodology of our study and potential issues. Conclusions Given the supporting evidence and safety of the components of our intervention we believe it is feasible and urgent to test it in cancer patients. Support or Funding Information Italian Ministry of Health, Abiogen Pharma Spa, Barilla Spa

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)0.087
metaresearch head score (Gemma)0.077
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.458

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0870.077
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0110.006
Insufficient payload (model declined to judge)0.0090.002

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 head0.087
GPT teacher head0.384
Teacher spread0.297 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2016
Admission routes1
Has abstractyes

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