Abstract 1968: Early on-treatment genomic instability level in cell free DNA as a predictive and prognostic marker in metastatic breast cancer patients
Notice bibliographique
Résumé
Abstract Metastatic breast cancer is mostly incurable and patients are treated with serial chemotherapy regimens to prolong life and decrease symptoms. Treatment efficacy is usually monitored by imaging every 3 months and by the measurement of blood tumor biomarkers despite their poor sensitivity and specificity. Novel and more timely approaches to monitoring treatment response and estimating prognosis are needed to enable more rapid treatment decisions. The Genomic Instability Number (GIN) is a recently published measure of DNA copy number changes across the genome that can be derived from low pass whole genome sequencing of cell free DNA in plasma. As it is genome wide, this method does not require previous tumor sequencing and offers a non-invasive option for liquid biopsy testing. We measured the GIN in plasma from a cohort of metastatic breast cancer patients undergoing therapy and correlated GIN levels with clinical response and outcome data. Methods: Blood samples (n=69) were collected from 27 patients with metastatic breast cancer undergoing standard of care therapy. Blood was collected prior to the beginning of a new line of therapy (T0), and then at T1 within 10 days and T2 within 22 days post-treatment initiation. The GIN was calculated for all 69 samples analyzed and we used a pre-determined detection threshold of GIN>170. Treatment response was assessed at 3 and at 6 months post-treatment. Results: 20 of the 27 metastatic patients analyzed had detectable GIN levels in at least one sample. Pre-treatment baseline GIN levels ranged from 80 to 6599 with undetectable GIN in 33% of patients. Baseline plasma GIN was not significantly associated with clinical characteristics, clinical response, progression free survival (PFS) or overall survival (OS). However, the average GIN level at early on-treatment time points, T1 or T2, was associated with clinical response with lower levels in patients who presented tumor response at 3 months (p<0.05) but not at 6 months. We found that detectable GIN at T1 was associated with significantly lower OS (p=0.014) but not with PFS, while detectable GIN values at T2 were associated with both poorer PFS (P=0.017) and OS (p=0.0085). The dynamic changes in GIN during treatment were also associated with treatment response and outcome. In fact, the degree of fall in GIN from baseline to T1 and from baseline to T2 was associated with early clinical response (at 3 months) (p<0.001 and p=0034 respectively). Interestingly, the fall of detectable GIN at T1 was highest in TNBC patients (average 73%) compared to non TNBCs (average 36%) (p=0.016). Finally, the percentage drop of GIN at T1 but not atT2 was significantly associated with PFS (p=0.016). In conclusion, the results from our study highlight the value of early on-treatment ctDNA measurements as a predictor of therapeutic response in the metastatic setting, and provide an approach that does not need to rely on tumor sequencing, thus making it much more clinically feasible. Citation Format: Adriana Aguilar-Mahecha, Josiane Lafleur, Susie Brousse, Cristiano Ferrario, Kimberly A. Holden, Graham McLennan, Taylor J. Jensen, Mark Basik. Early on-treatment genomic instability level in cell free DNA as a predictive and prognostic marker in metastatic breast cancer patients [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1968.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».