Abstract B001: Identification of monoallelic <i>ATM</i> loss-of-function and homologous recombination deficiency (HRD) in high-grade ovarian tumor with prolonged response to camonsertib and low-dose gemcitabine combination therapy
Notice bibliographique
Résumé
Abstract Intra-tumor heterogeneity and the prevalent loss-of-function mutations within DNA damage repair (DDR) genes constitute salient hallmarks of high-grade ovarian malignancies. However, the etiological drivers beyond BRCA1/2 mutations, as well as the chronology of tumor evolutionary processes, remain enigmatic. Here, we present the case of a 60-year-old female with high-grade serous ovarian cancer, initially treated with primary debulking surgery followed by 6 cycles of adjuvant intraperitoneal cisplatin and paclitaxel. After a 16-month platinum-free interval, the patient (pt) developed recurrent disease and subsequently received 5 weeks of neoadjuvant olaparib followed by secondary debulking surgery and adjuvant carboplatin as part of a clinical trial (NCT02489006). The pt became platinum refractory after 4 cycles of carboplatin, then received weekly paclitaxel and biweekly bevacizumab with stable disease as best response and eventual progression after 17 cycles. Molecular profiling of the metastatic biopsies at the time of initial recurrence identified a pathogenic ATM (c.4910-1G>A) alteration for which the pt was then enrolled onto the Phase Ib TRESR trial (NCT04497116). The trial enrolled pts ≥18 years, ECOG PS 0-1, with advanced solid tumors with deleterious DDR alterations. The pt received a starting dose of 1000mg/m2 gemcitabine (gem) with 80mg of the ATR inhibitor camonsertib (cam; 3 days [d] on/4d off) on a 21d cycle (2 weeks [w] on/2w off). The pt had a partial RECIST 1.1 response at 4 months (mo) and remains on treatment after 18mo. Due to toxicities (primarily neutropenia) the pt had a series of dose reductions to 200mg/m2 gem with 50mg cam (2d on/5d off) on a 28d cycle (1w on/1w off). Circulating tumor fraction (TF), measured by methylation-based profiling, remained at or below the limit of quantitation of the assay through 11mo (0.01% TF, testing of later timepoints ongoing). At 13mo, the target lesions began increasing in size (-50% to -43%) prompting a dose increase of cam to 80mg (same gem dose), after which the target lesions decreased to nadir (-52%) at 76w with concomitant CA-125 decrease. Retrospective whole-genome sequencing (WGS) of the secondary debulking surgery specimen as well as targeted sequencing (SyNthetic lethal Interactions for Precision Diagnostics [SNiPDx]) and immunohistochemistry of the metastatic biopsy revealed ATM protein loss only in a portion of the tumor and a monoallelic ATM mutation. Genomic signature analysis of WGS indicated presence of single-base substitution signatures 3+8 (HRD-related) and HRD positivity (BRCA1-type; CHORD algorithm). In contrast, while HRD+ was also detected in the primary tumor sample, the ATM alteration was absent and ATM protein expression was uniform, suggesting that ATM loss was a late event in tumor evolution. This case highlights the complexity of intra-tumor heterogeneity and clonal evolution in ovarian tumors and importance of “functional” HRD as no apparent mutational driver was identified. Citation Format: Stephanie Lheureux, Joseph D. Schonhoft, Ian M. Silverman, Julia Yang, Adrienne Johnson, Brooke Grant, Alexander Fortuna, Trevor J. Pugh, Parham Nejad, Bernard Lam, Sahaj Arora, Ashley Adile, Stephenie D. Prokopec, Jeffrey Bruce, Danielle Ulanet, Maria Koehler, Ezra Rosen, Victoria Rimkunas. Identification of monoallelic ATM loss-of-function and homologous recombination deficiency (HRD) in high-grade ovarian tumor with prolonged response to camonsertib and low-dose gemcitabine combination therapy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: DNA Damage Repair: From Basic Science to Future Clinical Application; 2024 Jan 9-11; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2024;84(1 Suppl):Abstract nr B001.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 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 | 0,001 | 0,000 |
| 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 ».