Abstract P2-03-12: Incidence and implications for hormone receptor status change pre- and post- neoadjuvant chemotherapy for locally advanced breast cancer: A retrospective single-center cohort study
Notice bibliographique
Résumé
Abstract Background: Hormone receptors (HR) and Human Epidermal Growth Factor Receptor 2 (HER2) status are variables that significantly influence the treatment regimens chosen for each patient (pt). The main objective of this study present was to determine the incidence of HR status change pre- and post- neoadjuvant chemotherapy (NAC) in patients with locally advanced breast cancer (LABC). Methods: A single-centre study was retrospectively conducted at The Ottawa Hospital Cancer Centre looking at a group of 546 pts diagnosed with LABC from 2006-2015. A number of variables were observed including HR and HER2 status, tumor size and grade, regional lymph nodes involvement, presence of DCIS, treatment regimens. 'Positive to Negative' considered pts who were HR and/or HER2 positive pre-NAC and negative post-NAC, 'No Change' represented the pts whose pathology did not change before and after NAC, and 'Negative to Positive' characterized those pts whose HR and/or HER2 pathology was initially negative and became positive post-NAC. Wilcoxon signed-rank test for paired dichotomous variables has been performed in order to estimate statistical significance of changes in status of HR and HER2. To explore possible relationship between HR and HER2 status change and other factors we used Logistic regression method. Results: Of the 386 pts who were examined for Estrogen Receptor (ER) twice, 285 had positive status before surgery, after surgery there were 12 pts (3.11%*) with a 'Positive to Negative' change, 362 pts (93.78%) with no change, and 12 pts who represented a 'Negative to Positive' change. 254 of 378 pts, who had two tests for Progesterone Receptor (PR), had positive results at first time, and 29 (7.67%*) of those represented a 'Positive to Negative' change, there were 337 (89.15%) with no change, and 12 (3.17%) with a 'Negative to Positive' change. From 387 pts who were tested for HER2 before and after surgery, 105 had initially positive status. Of those, 12 (3.10%*) represented a 'Positive to Negative' change, there were 364 (94.06%) with 'No Change' and 11 (2.84%*) with a 'Negative to Positive' change. Logistic regression analysis did not reveal any significant factors that can predict changes in receptors` status. *-Statistically significant changes (p<0.001). The results are comparable with previously published works, which demonstrated changes in IHC status during treatment in metastatic disease (E.Amir, 2011) and a in patients with LABC (Y.Yang, 2013; R.Gahlaut, 2016). Results of comparative meta-analysis will be presented also. Conclusions: Our study shows that a change in HR and HER2 status is common in this population, indicating that close monitoring of biopsy results should be closely compared to surgical pathology specimens to determine a change in biomarkers, and therefore, a potential change in treatment regimen. None of analyzed factors can predict change in status of ER, PR, and HER2 after neoadjuvant treatment. Even though the incidence of change in status is small, the implications for accurate and personalized treatment are important and HR and HER2 testing should be performed as a routine practice on the biopsy and at the time of definitive surgery. Citation Format: Aseyev O, Simmonds L, Gertler M, Verma S. Incidence and implications for hormone receptor status change pre- and post- neoadjuvant chemotherapy for locally advanced breast cancer: A retrospective single-center cohort study [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P2-03-12.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».