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Abstract PD7-07: Surgical management and contralateral breast cancer risk in women with a history of radiation therapy for Hodgkin lymphoma: Results from a population-based cohort

2022· article· en· W4221038695 on OpenAlexaff
Elisheva R Eisenberg, Anna Weiss, Ipshita Prakash, Sonia Skamene, Mark Basik, Jean Francois Boileau, Lissa Ajjamada, Michaël Pollak, Stephanie M. Wong

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineBreast cancerMastectomyRadiation therapyPopulationCohortCumulative incidenceCancerIncidence (geometry)Retrospective cohort studySurgeryOncologyInternal medicine

Abstract

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Abstract Background: Women with a history of chest radiation for Hodgkin lymphoma are at an increased risk of developing breast cancer. Although mastectomy has historically been recommended for surgical treatment of breast cancers in women with prior radiation exposure, surgical management trends and contralateral breast cancer risk in this population remain undefined. Methods: We performed a population-based retrospective study using the Surveillance, Epidemiology, and End Results (SEER) database from 1990-2016. Our cohort included women who received radiation for Hodgkin lymphoma prior to 30 years old and were diagnosed with a subsequent breast cancer. We evaluated trends in local therapy including rates of breast conserving surgery (BCS) and mastectomy. In those undergoing unilateral surgery, the Kaplan-Meier method was used to estimate the 5- and 10-year cumulative incidence of contralateral breast cancer. Results: Our final cohort included 295 women with a median age of 22 years (range, 8-30 years) at Hodgkin lymphoma diagnosis, and 42 years (range, 22-65 years) at breast cancer diagnosis. Of these patients, 263 (89.2%) presented with unilateral breast cancer, while 32 (10.8%) presented with synchronous bilateral breast cancer. Overall, BCS was performed in 17.3% of patients and mastectomy was performed in 82.7%. In the 263 patients presenting with unilateral breast cancer, 50 (19.0%) underwent BCS and 213 (81.0%) underwent mastectomy. Subgroup analysis of mastectomy patients with surgical laterality information available demonstrated a 40.5% bilateral mastectomy rate. In the entire cohort, the 5-year incidence of contralateral breast cancer in women who underwent unilateral surgery was 9.4% (95% CI, 5.6-15.4), increasing to 20.2% (95% CI, 13.7-29.2) at 10-years of follow up. Hormone receptor status of the index breast cancer was not associated with significant differences in the incidence of contralateral breast cancer (p=0.13). Conclusions: Women with a history of prior chest radiation for Hodgkin Lymphoma with a diagnosis with breast cancer have a 10-year contralateral breast cancer risk of 20%. These findings support consideration of contralateral prophylactic mastectomy during surgical decision-making in this high-risk patient population. Citation Format: Elisheva R Eisenberg, Anna Weiss, Ipshita Prakash, Sonia Skamene, Mark Basik, Jean Francois Boileau, Lissa Ajjamada, Michael Pollak, Stephanie M Wong. Surgical management and contralateral breast cancer risk in women with a history of radiation therapy for Hodgkin lymphoma: Results from a population-based cohort [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr PD7-07.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.303
Teacher spread0.285 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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