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Abstract PO1-02-11: Characterization of MammaPrint UltraLow Risk tumors in more than 1400 patients from the real-world evidence FLEX study

2024· article· en· W4396590778 on OpenAlexaboutno aff
Cathy Graham, Kent Hoskins, Vijayakrishna K. Gadi, Suzanne Hoekstra, Gordon Srkalovic, Douglas K. Marks, Beth A. Sieling, Patricia Dauer, Andrea Menicucci, William Audeh, Joyce O’Shaughnessy

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFLEXOncologyInternal medicineComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: MammaPrint is a gene expression signature used to determine the risk of distant recurrence for patients with early-stage breast cancer. Previous studies from MINDACT, FOCUS, IKA, and STO-3 trials have demonstrated that postmenopausal node-negative patients with MammaPrint UltraLow Risk tumors are considered indolent and patients have excellent long-term survival outcomes up to 20 years with little to no endocrine treatment. These studies suggest that patients with UltraLow Risk tumors are ideal candidates for treatment optimization which has resulted in the inclusion of the UltraLow Risk result in the NCCN guidelines. Here, we characterized patients with UltraLow Risk tumors from the real-world evidence FLEX study. METHODS: FLEX (NCT03053193) is a prospective, observational registry study with 99 sites open in the United States, Canada, Greece, and Israel. Patients enrolled in FLEX have early-stage breast cancer and receive MammaPrint testing as standard of care (with or without BluePrint molecular subtyping), and consent to full transcriptome analysis and clinical data collection. MammaPrint is a gene expression signature of 70 genes that classifies tumors as having a Low Risk or High Risk of distant recurrence. Within Low Risk tumors, a subcategory of UltraLow Risk (MammaPrint Index > 0.355) has been defined in previous studies. Clinical data for this analysis was locked February 2023. Clinical risk was defined as low risk or high risk based on Adjuvant Online criteria. RESULTS: Among the 12,328 patients enrolled in FLEX, 1465 (11.9%) have UltraLow Risk tumors. All tumors with available BluePrint molecular subtyping were classified as Luminal-Type. Of the patients with detailed clinical data, the majority had clinically low risk tumors (78.8%; Table 1). Notably, 34.6% of patients with UltraLow Risk tumors had Ki67 tumor staining of greater than 10%, 16.7% were pre- or peri-menopausal, 43.6% had grade 2-3 tumors, and 20.1% had tumors > 2 cm (Table 1). Among patients with treatment information, 6.5% received a combination of chemotherapy with or without endocrine and HER2-targeted therapy, 82.4% received endocrine therapy, 4.8% received other treatment (endocrine with targeted therapy (CDK4/6), radiation alone, novel treatment regimen, or supporting agents), and 6.3% did not receive treatment (Table 1). CONCLUSIONS: Previous trials have demonstrated the utility of MammaPrint UltraLow Risk in patients with clinically low risk features. In this large real-world evidence study of patients with early-stage breast cancer, UltraLow Risk tumors can be identified across all clinical categories. Overall, we report a substantial number of premenopausal patients with UltraLow Risk tumors, and these young women would be good candidates for treatment optimization. Future studies will assess long-term outcomes in this cohort further stratified by treatment. Table 1. Clinical and genomic characteristics of UltraLow Risk tumors Data are presented as n (%). Patients with unknown or missing data for each category have not been included. Citation Format: Cathy Graham, Kent Hoskins, Vijayakrishna K. Gadi, Suzanne Hoekstra, Gordon Srkalovic, Douglas Marks, Beth Sieling, Patricia Dauer, Andrea Menicucci, William Audeh, Joyce O'Shaughnessy, FLEX Investigators' Group. Characterization of MammaPrint UltraLow Risk tumors in more than 1400 patients from the real-world evidence FLEX study [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-02-11.

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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)0.002
metaresearch head score (Gemma)0.005
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 score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.055
GPT teacher head0.392
Teacher spread0.337 · 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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