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Abstract P2-11-10: Effect of supplementation with eicosapentaenoic and docosahexaenoic omega-3 polyunsaturated fatty acid on the chemotoxicity in Mexican patients with locally advanced breast cancer (LABC) treated with neoadjuvant chemotherapy (NeoCT)

2017· article· en· W2594437638 on OpenAlexaboutno aff
F DelaRosa-Oliva, Erika Ruíz‐García, E. Castro Gómez, Claudia Arce-Salinas, Fernando Lara-Medina, A Alvarado-Miranda, JA Matus-Santos, Diana Flores-Díaz, Z Deneken-Hernandez, J Bargalló- Rocha, Patricia Cabrera, Jorge Alberto Guadarrama-Orozco, H. Ruiz-Calzada, Abelardo Meneses-García, Horacio Astudillo‐de la Vega

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsEicosapentaenoic acidDocosahexaenoic acidMedicineBreast cancerInternal medicinePolyunsaturated fatty acidPlaceboAdiponectinGastroenterologyOncologyCancerEndocrinologyFatty acidInsulinInsulin resistancePathologyBiology

Abstract

fetched live from OpenAlex

Abstract The aim of this study was to determine the benefits of supplementation with eicosapentaenoic (EPA) and docosahexaenoic (DHA) polyunsaturated fatty acids (PUFA) in terms of chemotoxicity and inflammatory status, to Mexican women with locally advanced breast cancer (LABC), receiving a standard neoadjuvant chemotherapy (NeoCT AC-taxol regimen). We performed a randomized double-blind, placebo-controlled, clinical trial, in which we studied 44 LABC patients (stages IIA to IIIA) who took 2.4g/d (1.6 g EPA and 0.8 g DHA, ratio 2:1) (N=22) or placebo (N=22) during NeoCT with doxorubicin/ cyclophosphamide followed paclitaxel weekly. Edmonton Scale and Common Terminology Criteria for Adverse Events (CTCAE) v4. assessment were performed before each CT, and also blood total leukocytes, and percentage lymphocytes and monocytes by standard lab methods. Serum inflammatory proteins and adipokines, were quantified by multiplexed analysis using a luminometer (MAGPIX) at basal time (0) and after cessation (+6 months) of AC and paclitaxel regimen. RESULTS: There were no differences in age between the supplemented and the placebo groups (51.6y vs. 49.1y, p=0.4), neither in body mass index (BMI, 28.7 kg/m2 and 28.9 kg/m2, p=0.8). After 6 months of supplementation, patients who were supplemented with PUFAs had significant changes (time 0 vs 6, respectively) in total leukocytes (from 6.3 to 5.1 x103/mL, p =0.002) lymphocytes (from 33.5 to 25.2%, p =0.002), leptin (from 60.2 to 36.1 pg/mL, p=0.04) and adiponectin (from 36.8 to 43.3 mg/mL, p=0.05 ). On the other hand, placebo group had significant changes in the number of leukocytes (from 6.8 to 10.0 x103/mL, p =0.04), monocytes (from 6.7 to 10.1%, p=0.03) and an increase in leptin (from 22.7 to 46.3 pg/mL, p=0.04). CONCLUSIONS: Supplementation with 2.4g/d of EPA and DHA (ratio 2:1) during 6 months in Mexican LABC patients receiving NeoCT resulted in a less inflammatory status when compared to patients who received none. Our results clearly suggest that this type of supplementation may be beneficial to these type of patients. Currently, we are analyzing if treatment with omega-3 PUFAs are associated with lower incidence of side effects due to chemotherapy. Citation Format: DelaRosa-Oliva F, Ruiz-Garcia E, Gomez E, Arce-Salinas C, Lara-Medina F, Alvarado-Miranda A, Matus-Santos J, Flores-Díaz D, Deneken-Hernandez Z, Bargalló- Rocha J, Cabrera P, Guadarrama-Orozco J, Ruiz-Calzada H, Meneses-García A, Astudillo-de la Vega H. Effect of supplementation with eicosapentaenoic and docosahexaenoic omega-3 polyunsaturated fatty acid on the chemotoxicity in Mexican patients with locally advanced breast cancer (LABC) treated with neoadjuvant chemotherapy (NeoCT) [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P2-11-10.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.317
Teacher spread0.305 · 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
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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Citations1
Published2017
Admission routes1
Has abstractyes

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