Abstract OT3-17-01: OPTIMA: A prospective randomized trial to validate the clinical utility and cost-effectiveness of gene expression test-directed chemotherapy decisions in mostly node-positive early breast cancer
Notice bibliographique
Résumé
Abstract Background: Multi-parameter tumour gene expression assays (MPAs) are widely used to estimate individual patient risk and to guide chemotherapy use in hormone-sensitive, HER2-negative early breast cancer. The TAILORx trial supports MPA use in a node-negative population. Evidence in node-positive breast cancer is limited. OPTIMA (Optimal Personalised Treatment of early breast cancer usIng Multi-parameter Analysis) (ISRCTN42400492) is a prospective international randomised controlled trial (RCT) designed to validate MPA’s as predictors of chemotherapy sensitivity in a largely node-positive breast cancer population. Methods: OPTIMA is a partially blinded study with an adaptive two-stage design. The main eligibility criteria are women and men age 40 or older with resected ER-positive, HER2-negative invasive breast cancer and up to 9 involved axillary lymph nodes. Randomisation is to standard management (chemotherapy and endocrine therapy) or to MPA-directed treatment using the Prosigna (PAM50) test. Those with a Prosigna tumour Score (ROR_PT) >60 receive standard management whilst those with a low score (≤60) are treated with endocrine therapy alone. Endocrine therapy for pre-menopausal women includes ovarian suppression. Prosigna tests are currently performed only for participants randomised to MPA-directed treatment. More than 1 tumour may be tested if participants have multi-focal tumours with discordant features and/or are considered clinically significant. The co-primary outcomes are: (1) Invasive Disease Free Survival (IDFS) and (2) cost-effectiveness. Secondary outcomes include IDFS in patients with low-score tumours and quality of life. Recruitment of 4500 patients over 5 years will permit demonstration of 3% non-inferiority of test-directed treatment, assuming 5-year IDFS of 85% with standard management. An integrated qualitative recruitment study addresses challenges to consent and recruitment, building on experience from the feasibility study which found that a multidisciplinary approach is important for recruitment success. Results: The OPTIMA main trial opened in January 2017. Overall recruitment as of 1 July 2019 was 1123 (1100 from UK, 13 from Norway); 91% had axillary node macro-metastases. Median time from consent to treatment allocation was 12 days (interquartile range 10-14 days). The withdrawal rate from trial treatment is 3%; 50% of these continue with follow up. Prosigna tests have been performed on 608 tumours for 549 participants; 59% were luminal A, 38% were luminal B and 3% non-luminal (6 patients with non-luminal tumours [1% overall] were ineligible on receptor retesting). Of the 53 (10%) participants with >1 tumour tested, 3 (6%) had discordant scores only, 7 (13%) had discordant subtypes only and 8 (15%) had both discordant scores and subtypes. Two thirds of the MPA-directed arm participants have been allocated to endocrine therapy only. The test failure rate is <1%. Conclusion: OPTIMA is one of two large scale prospective trials validating the use of test-guided chemotherapy decisions in node-positive early breast cancer. It is expected to have a global impact on breast cancer treatment. Funding: OPTIMA is funded by the UK NIHR HTA Programme (10/34/501). Views expressed are those of the authors and not those of the HTA Programme, NIHR, NHS or the Department of Health. Trial Inquiries: OPTIMA@warwick.ac.uk Citation Format: Robert C Stein, Andrea Marshall, Andreas Makris, Luke Hughes-Davies, Iain R MacPherson, Carmel Conefrey, Leila Rooshenas, Sarah E Pinder, Abeer M Shaaban, Bjørn Naume, David A Cameron, Daniel W Rea, Helena M Earl, Christopher J Poole, Peter S Hall, Georgina Dotchin, Stuart A McIntosh, Victoria Harmer, Adrienne Morgan, Bethany Shinkins, Nigel Stallard, Christopher McCabe, Jenny L Donovan, John MS Bartlett, Janet A Dunn. OPTIMA: A prospective randomized trial to validate the clinical utility and cost-effectiveness of gene expression test-directed chemotherapy decisions in mostly node-positive early breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr OT3-17-01.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,004 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».