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Real-world evidence on predictors of survival for hormone-positive and triple-negative advanced breast cancer by treatment and <i>BRCA</i> status in the United States.

2022· article· en· W4281727581 on OpenAlexaff
Dongmu Zhang, Leon Raskin, Wendy Sebby, Lei He, Sandeep Pawar, Steven A. Narod, Olufunmilayo I. Olopade, Alexander Liede

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsMedicineTriple-negative breast cancerCohortBreast cancerOncologyInternal medicineBRCA mutationStage (stratigraphy)Proportional hazards modelCancerMedian follow-upMedical recordGynecologyOverall survival

Abstract

fetched live from OpenAlex

e18754 Background: Factors that affect overall survival (OS) for women with metastatic or recurrent breast cancer (BC) and BRCA1 or BRCA2 mutations (BRCA+) are a matter of debate. We analyzed electronic health records (EHR) from centers across the US to examine the effect of bilateral salpingo oophorectomy (BSO) and other factors on OS across treatment and molecular subtypes with emphasis on hormone-positive (HR+) and triple-negative BC (TNBC). Methods: A cohort of women diagnosed with stage 3 or 4 HR+ or TNBC from 1-Jan-2015 to 31-Dec-2019 was identified from EHR (Tempus Labs, Chicago, IL). BRCA+ was confirmed from medical notes and laboratory reports. A comparator group included HR+ and TNBC with no record of BRCA testing (Non-BRCA). Kaplan-Meier and Cox proportional hazards were used to evaluate predictors of OS from earliest diagnosis in multivariate models by BRCA status and molecular phenotype; treatment exposure (any time), mastectomy and BSO were treated as time-dependent variables. Results: We identified 1227 women with median age of 53 years (range 18-89) at BC diagnosis and median follow up of 26.1 months (max > 26 years) and 358 deaths. Two-thirds had distant visceral or bone metastases, almost 60% were recurrent after original stage 1-3 BC; 302 women were stage 3 and 296 stage 4 at BC. The BRCA+ cohort included 439 women (195 BRCA1, 220 BRCA2, 24 “BRCA” mutation; 265 HR+, 142 TNBC) and median age at BC was 46 years (44 BRCA1, 47 BRCA2). Non-BRCA cohort consisted of 788 women with a median age of 57 at BC (378 HR+, 341 TNBC). BRCA+ had longer OS than non-BRCA ( P= 0.0001); HR+ had longer OS than TNBC ( P= 0.0001). For 331 TNBC, chemotherapeutic regimens were most common first line treatment; few (17%) received third line and 31% had no evidence of receiving systemic therapy. Age ≤50, BRCA+, and mastectomy were associated with increased OS in HR+; BRCA+ status and mastectomy were predictors of increased OS whereas platinum-based chemotherapy was associated with decreased OS in TNBC (Table). Across molecular subtypes, BSO was not an independent predictor of OS and most women (92%) had BSO after BC diagnosis. Conclusions: Regardless of BRCA status, women with advanced TNBC were almost exclusively treated with chemotherapy, which highlights the remaining unmet need for effective treatment options. Taking timing of BSO and other interventions into account is critical to understanding their effects of BC mortality.[Table: see text]

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)0.011
metaresearch head score (Gemma)0.045
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 score0.014
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.045
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.006
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.056
GPT teacher head0.426
Teacher spread0.369 · 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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