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Record W3020925563 · doi:10.1210/jendso/bvaa046.2139

SUN-LB8 Cross Sex Hormone Therapy and Breast Cancer in Transgender Male to Female

2020· article· en· W3020925563 on OpenAlexaboutno aff
Randa Sharag Eldin, Aleena Zia, Gauri Pethe, Nur Un Nisa Nabil, Mariam Charkviani, Mohamed Ibrahim, Abubakr Hassab Elrasoul Babiker Mohamed

Bibliographic record

VenueJournal of the Endocrine Society · 2020
Typearticle
Languageen
FieldMedicine
TopicMale Breast Health Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBreast cancerHormone therapyRadiologyAxillary lymph nodesOncologyCancerInternal medicineGynecology

Abstract

fetched live from OpenAlex

Abstract Case Presentation: We are presenting a 53-year-old Male to Female transgender patient who has been receiving estradiol valerate injections every 14 days for 13 years and had no gender surgical reassignment procedures or breast implants. Her past medical history was significant for HIV on Highly Active Anti-retroviral therapy (HAART). No family history of breast cancer. She presented with severe bilateral left elbow, lower back and bilateral chest pain for 3 days. Chest CT done to exclude pulmonary embolism showed an incidental 4 cm right breast mass. Enlarged lymph nodes in the right axilla, scattered lytic lesions in the axial skeleton and the left humeral head were also noted. Breast exam was not performed until the significant findings were seen in CT chest and it showed a palpable hard-circumscribed subareolar right breast mass without skin changes. Ultrasound guided biopsy of the breast mass confirmed invasive ductal carcinoma of the breast. The patient had no previous mammogram testing. Oncology work-up was positive for estrogen and progesterone receptors but negative for human epidermal growth factor-2 receptor. The patient opted to return home in another state to seek treatment and further oncological workup but subsequently lost follow up. Discussion: Male to female breast cancer was first recognized in 1968. However, risk factors for this condition remain unclear. In our patient, long-term use of Cross-sex Hormone Therapy (CHT) represented a major risk factor for breast cancer. In a Dutch study, the risk of breast cancer increased during a relatively short duration of CHT and the cancer characteristics reassembled female pattern. As theoretically implicated, increased estrogen exposure in males may have a role in the proliferation of neoplastic breast epithelium. There are growing evidence to support increasing rates of breast cancer in HIV-positive population, making it a potential risk factor as well. Loss of CXCR-4 protective effect promoted by HIV virus may explain the increase in the breast cancer incidence after the introduction of HAART. In general, routine screening for breast cancer in MTF transgender population remains controversial. The Endocrine Society Clinical Practice guidelines suggest that MTF transsexual individuals who have no known increased risk of breast cancer should follow screening guidelines for biological women. While the Canadian Cancer Society recommends screening mammography every two years for MTF individuals taking CHT for more than 5 years and those between the ages of 50 and 69 years. Conclusion:Breast cancer in MTF transgender patients is associated with receiving CHT and represents diagnostic and treatment challenge. More research is need to comment on routine breast cancer screening in this population. However, physicians should remember performing a regular breast exam in MTF individuals looking for a possible mass.

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)0.001
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.046
GPT teacher head0.349
Teacher spread0.304 · 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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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