Abstract A123: Circulating tumor DNA (ctDNA) genomic and epigenomic profiling (GuardantINFINITY) for diagnosis of DNA damage repair (DDR) loss of function (LOF) and response monitoring in the TRESR and ATTACC trials
Notice bibliographique
Résumé
Abstract Background First-generation panel-based ctDNA sequencing is widely used to identify actionable genomic alterations, but limited coverage and sensitivity hinder broader clinical utility, especially in cancers driven by DDR LOF. Further, tissue-free, variant-based approaches for response monitoring have several challenges, including the limited number and low variant allele frequencies (VAF) of monitorable variants and contamination from non-tumor-derived sources (eg, clonal hematopoiesis [CH]). Newer panels may address these challenges with broader coverage, optimized bioinformatics, and the integration of epigenetic analysis for molecular response (MR). Methods Blood samples were collected from 2 phase 1 studies (TRESR; NCT04497116 and ATTACC; NCT04972110) of the ataxia telangiectasia and Rad3-related (ATR) inhibitor camonsertib in combination with gemcitabine or PARPi (talazoparib, niraparib, or olaparib). Cell-free DNA and PBMCs were sequenced using the combined genomic (>800 genes) and methylation (15Mb) GuardantINFINITY platform. Results The study included 117 patients (pts) with ovarian (n=29), breast (n=18), pancreatic (n=18), prostate (n=16) and other (n=36) cancers, enrolled with pathogenic alterations in BRCA2 (n=41), ATM (n=32), BRCA1 (n=23), PALB2 (n=8) and other genes (n=13). Enrollment alterations identified by local NGS were confirmed in 83% (94/114) of pts excluding 3 enrolled by protein loss. 50% (5/10) of complex alterations (large deletions or rearrangements) with sufficient circulating tumor fraction (cTF) were confirmed. Among pts with breast, ovarian, prostate, or pancreatic cancers previously treated with PARPi and/or platinum and harboring BRCA1/2 or PALB2 alterations, reversions were detected in 31% (17/54), with 6 pts reverted by 1 or more large intragenic deletions. A CRC pt with a clonal biallelic sATM alteration had 2 missense reversions in cis, an event not previously reported to occur in ATM. In pts with matched PBMCs, confirmed CH alterations were detected in 79% (44/56), including 59% (33/56) with at least 1 CH variant over 1% VAF. 106 pts had evaluable paired samples at baseline and on-treatment (taken between 2-12 weeks on-treatment [median, 3 weeks]). Using mVAF of the Guardant360 74-gene subset or methylation-based cTF, 72% or 86% were monitorable, respectively. In the subset of evaluable pts with matched PBMC sequencing (n=54), after PBMC-informed CH filtering, monitorability was reduced from 69% to 61% between G360 mVAF and G360 mVAF-CH, respectively. PBMC-informed CH filtering improved the correlation between variant-based and methylation-based monitoring (G360 mVAF, R=0.89, p=1.1e-11 vs G360 mVAF-CH, R=0.95, p=3e-15; Pearson correlation). Correlation of ctDNA monitoring metrics with clinical outcomes is ongoing. Conclusions Broad panel coverage enabled accurate diagnosis of complex DDR LOF and detection of reversion alterations. Methylation-based cTF allows monitoring of most pts in this cohort and consistent with previous observations may avoid signal contamination from CH for robust MR analysis. Citation Format: Ezra Rosen, Joseph D Schonhoft, Ian M Silverman, Arielle Yablonovitch, Sunantha Sethuraman, Parham Nejad, Danielle Ulanet, Julia Yang, Insil Kim, Kezhen Fei, Yi Xu, Errin Lagow, Shile Zhang, Mingyang Cai, Maria Koehler, Benedito A Carneiro, Stephanie Lheureux, Michael Cecchini, Benjamin Herzberg, Jorge S Reis-Filho, Victoria Rimkunas, Timothy A Yap. Circulating tumor DNA (ctDNA) genomic and epigenomic profiling (GuardantINFINITY) for diagnosis of DNA damage repair (DDR) loss of function (LOF) and response monitoring in the TRESR and ATTACC trials [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr A123.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,009 | 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 ».