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Record W2402915179 · doi:10.1158/1538-7755.disp15-b50

Abstract B50: Breast cancer in the Caribbean – A six-country cohort

2016· article· en· W2402915179 on OpenAlexaff
Sophia George, Talia Donenberg, Mohammad R. Akbari, Cheryl Alexis, Gilian Wharfe, Hedda Dyer, Sook Yin, Theodore Turnquest, Jameel Ali, Vincent DeGennaro, Steven A. Narod, Judith Hurley

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsMedicineBreast cancerCohortDemographyAfro-CaribbeanCancerPopulationIncidence (geometry)GerontologyGynecologyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Introduction: In Low and Middle Income Countries (LMIC) non-communicable chronic diseases are now the leading cause of premature mortality. Breast cancer is the leading cause of cancer death in Caribbean women. A Caribbean wide study was launched to determine the demographics of breast cancer and the contribution of breast cancer gene mutations to its incidence. Methods: Breast and ovarian cancer patients were recruited from public and private clinics in the Cayman Islands, Jamaica, Barbados, Dominica, Trinidad & Tobago, Haiti and at the University of Miami/ Jackson Memorial Hospital between 2010 and January 2015. Study participants had to have at least 1 grandparent born in one of the participating countries. All women provided written consent. The study was approved by the ethics review board in all participating institutions and/or countries. A saliva sample was taken. A pedigree was drawn and demographic and clinical pathologic data was collected from 855 women and men. Summary statistics and t-tests and ANOVA were used to analyze study population characteristics. Results: Afro Caribbean women have a young age of onset of breast cancer mean age 49.1 yrs. Within the cohort, Trinidad & Tobago had significantly p<0.0001) younger participants - mean age 43 (19 - 80 yr, 95%CI 41.9-44.0); Barbados mean age 46.4 (p<0.05) compared to Cayman Islands (51.4), Dominica (52) and Haiti (51.1). The mean BMI for the cohort was 28.2: Barbados 27.5, Cayman lslands 30.3, Dominica 28.7, Haiti 25.9, Jamaica 28.2 and Trinidad & Tobago 27.4. Estrogen receptors were found in 62% (95%CI 51.6-72.6) of AC women although in Dominica and Haiti they were seldom done and all therapy was empirically guided. AC women had Her-2 overexpression in 19% (95%CI 10.7-) although it was higher in Haiti and Jamaica, 38% and 27%. Stage at presentation was skewed to stages III and IV in 5/6 countries studied (except in Cayman Islands). 30-40% of participants presented at an advance stage compared to their American counter parts where Stage III and IV account for 12%. In the cohort, women who were nulliparous had an earlier age at presentation of invasive breast cancer by 7 years (p<0.0001) compared to women with 1 or more children. Similarly 1 or more pregnancies, increased the age at invasive breast cancer diagnosis (p<0.0001). Women who underwent a TAH-BSO had a later age of onset of diagnosis by 5.1yrs (p=0.0001) Deleterious mutations in the breast cancer genes were a frequent cause of breast cancer in the Bahamas (28% of unselected patients) and Trinidad & Tobago (12% of unselected patients). 94% of breast cancers were detected by the patient. Conclusions: This population-based study provides information on the tumor stage and characteristics as well as risk factors such as genetic, weight and fertility factors that contribute to the incidence of breast cancer in AC women. AC women develop breast cancer at an earlier age than either European American (EA) or African American (AA) women (AC 49.1, AA 58, EA 62). 60% of AC women were diagnosed between the ages of 35-54 compared to 30% of AA women. Breast cancer in AC women presents at a higher stage than in AA or EA women (30-40% Stage III&IV vs 12%). Genetic factors play a large role in the etiology of breast cancer in the Bahamas and Trinidad & Tobago. Fertility factors have a direct effect on the age of onset of breast cancer. Mammography is not readily available and most cancers are detected by palpation. Financial constraints limit diagnostic capacity, treatment options and genetic testing. Breast cancer is the leading cause of cancer death in the Caribbean and as the countries in the Caribbean move rapidly from the third world into the first world, the breast cancer incidence will increase. Understanding the factors that contribute to the cause of breast cancer will enable the countries to strategy. Citation Format: Sophia HL George, Talia Donenberg, Mohammad Akbari, Cheryl Alexis, Gilian Wharfe, Hedda Dyer, Sook Yin, Theodore Turnquest, Jameel Ali, Vincent DeGennaro, Jr., Steven A. Narod, Judith Hurley. Breast cancer in the Caribbean – A six-country cohort. [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr B50.

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)0.001
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 score0.080
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.324
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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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