Abstract PO3-14-10: A single-center prospective cohort study to evaluate circulating tumor cells as a monitoring tool in women with breast cancer treated with neoadjuvant chemotherapy: final results of baseline data
Notice bibliographique
Résumé
Abstract Background: The presence of liquid biomarkers such as circulating tumor cells (CTCs) among women undergoing neoadjuvant chemotherapy (NAC) for breast cancer may be associated with treatment response and/or an increased risk of recurrence, but limited data is available. Objectives: To detect and enumerate CTCs in blood samples from women with a new diagnosis of non-metastatic breast cancer of any subtype both i) at baseline (prior to commencing NAC), and ii) after completion of NAC and surgery using the Epic Sciences platform. Methods: Women with non-metastatic breast cancer of any subtype who have not yet commenced NAC were included, irrespective of age. Those with a prior history of another invasive cancer (apart from non-melanoma skin cancer identified 5+ years prior to enrollment) were excluded. Blood samples were obtained to measure CTCs prior to commencing NAC, and after completion of NAC and surgery (at least 4 weeks post-operatively). As previously described, CTC identification was based on immunofluorescence analysis using the Epic Sciences platform (Ueno et al 2017). Clinical/pathological data and clinical outcomes were abstracted from patients’ medical records. Associations between CTC detection and clinical/pathologic characteristics were evaluated using Fisher’s exact test for categorical variables and t-test or Wilcoxon rank sum tests for numerical variables. All analyses were performed using the R software package. Results: 50 participants who met eligibility criteria were included; a baseline blood sample was evaluable for CTC detection and enumeration for 47 patients. The median age at breast cancer diagnosis was 52 (29-75). Among them, 18 (38.3%) had HER2+ breast cancer, 17 (36.1%) had hormone receptor (HR)+/HER2- breast cancer and 12 (25.5%) had triple negative breast cancer (TNBC). The majority of patients (91%) received anthracycline and taxane-based NAC. A total of 68 samples were tested for CTC enumeration (5 mL equivalent per sample) including 47 pre-treatment and 21 post-treatment samples. CTCs were detected in 37 (79%) of patients for whom a baseline (pre-NAC) sample was available with a mean of 4.2 (SD 17.0) CTCs/mL and a range of 0 - 115.4 CTCs/mL. Detection of CTCs at baseline was highest among patients with TNBC (n=10/12, 83%), followed by those with HER2+ (n=14/18, 78%) and HR+/HER2- (n=13/17, 76%) breast cancer. CTCs were detected in 43% (n=9/21) of post-treatment samples, with a mean of 1.2 (SD 3.6) CTCs/mL and range of 0 – 16.4 CTCs/mL. Among the 20 patients for whom matched pre- and post-treatment CTC results were available, 16 (80%) had detectable CTCs pre-treatment and 8 (40%) had detectable levels post-NAC and surgery; of the 8 patients with post-treatment CTCs, 4 (50%) had HR+/HER2- breast cancer, 2 had HER2+ (25%) and 2 (25%) had TNBC. Three patients had numerically higher CTC levels after completion of NAC and surgery compared to baseline levels, 2 of whom had HR+/HER2- breast cancer and one of whom had TNBC. To-date, only 8 patients (19% of 43 who have undergone surgery) have achieved a pathological complete response (PCR) to NAC, among whom 3 had matched pre- and post-treatment CTC results available. None of these 3 patients had detectable CTCs post treatment. Conclusions: Approximately 4 in 5 women with non-metastatic breast cancer who undergo NAC have detectable CTCs at baseline (pre-treatment) using the Epic Sciences Platform. Given that CTCs remain detectable in a high proportion (40%) of patients after NAC and surgery, evaluation of CTCs as a potential measure of minimal residual disease warrants further evaluation in this patient population. Citation Format: Rania Chehade, Arushi Jain, Veronika Moravan, Giuseppe Di Caro, Megan Slade, Nadine Hartmann, Rick Wenstrup, Ana Elisa Lohmann, William Tran, Katarzyna Jerzak. A single-center prospective cohort study to evaluate circulating tumor cells as a monitoring tool in women with breast cancer treated with neoadjuvant chemotherapy: final results of baseline data [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 PO3-14-10.
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».