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The correlation between BRCA status and surgical cytoreduction in high-grade serous ovarian carcinoma.

2021· article· en· W3171697095 on OpenAlexaff
Rachel Soyoun Kim, Janet Malcolmson, Xuan Li, Marcus Q. Bernardini, Liat Hogen, Taymaa May

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsSinai Health SystemPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineOncologyInternal medicineBRCA mutationDiseasePerioperativeSerous fluidStage (stratigraphy)Minimal residual diseaseOvarian cancerSurgeryCancer

Abstract

fetched live from OpenAlex

5543 Background: High grade serous ovarian cancers (HGSC) with BRCA mutation are biologically unique, with distinct molecular and clinical behaviour from sporadic cases. It is unclear if these biological differences translate to favorable outcomes at the time of primary cytoreductive surgery (PCS). The aim of this study is to compare the amount of residual disease following PCS in BRCA-mutated (BRCAm) and wildtype (BRCAwt) HGSC, and to assess whether BRCA status is an independent predictor of residual disease. Methods: We conducted a retrospective analysis of patients with HGSC with known germline and somatic BRCA mutation status, treated with PCS from 2000 to 2017. We compared the cytoreduction outcomes between the BRCAm and the BRCAwt cohorts and built a predictive model to assess whether BRCA status was associated with amount of residual disease at the time of PCS. Results: Of 355 women, 144 harbored germline or somatic BRCA mutations (41%) and 211 were BRCAwt (59%). BRCAm women tended to be younger (54 vs. 59; p < 0.001), but there were no differences between the two groups in stage, disease burden at presentation, surgical complexity score, length of surgery, or perioperative complications. The BRCAm group had a higher rate of complete cytoreduction to no residual disease (0mm) [75% vs. 54%], and a lower rate of optimal cytoreduction (1-9mm) [16% vs. 34%] or suboptimal cytoreduction (≥10mm) [9% vs. 12%] (p < 0.001). In our predictive model, after accounting for length of surgery, CA-125 level, stage, disease scores and surgical complexity scores, BRCAm status was predictive of complete cytoreduction to 0mm residual disease (OR 4.78; 95% CI 2.32-9.85; p < 0.001). Conclusions: BRCA status is predictive of complete cytoreduction at time of PCS in HGSC. Timely availability of BRCA testing is paramount as it may aid in the therapeutic decision making between PCS or neoadjuvant chemotherapy in women with newly diagnosed HGSC.

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)0.003
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0010.000

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 head0.090
GPT teacher head0.427
Teacher spread0.338 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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