Abstract B006: Tissue-specific mutational outcomes underlying the late effects of anthracyclines on tumours, blood, and heart
Notice bibliographique
Résumé
Abstract Motivation: Anthracyclines, a cornerstone chemotherapy, disproportionately contributes to several late effects burdening survivors of cancer, including cancer relapse, therapy-related blood cancers, and fatal cardiotoxicity. Despite decades of clinical use, the mechanisms underlying these late effects – particularly how anthracyclines damage the genome of various tissues (tumours, blood, and heart) – remain poorly understood. Methods: We assembled a cohort of untreated or anthracycline-treated tumour, blood, and heart samples. Tumours and blood were leveraged from childhood cancer patients enrolled in the SickKids Cancer Sequencing Program. Heart samples were obtained from cancer survivors who received anthracyclines and later developed severe cardiotoxicity that required a heart transplant. We sequenced the DNA of each tissue type to identify anthracycline-induced somatic mutations. Results: Our initial results revealed minimal genome-wide mutational differences between anthracycline-treated versus untreated samples across all tissue types. We hypothesized that anthracyclines may instead alter the topography, rather than burden, of somatic mutations. Indeed, we found that anthracycline-treated tissues had a strong enrichment of somatic mutations in open chromatin of their respective cell of origin. Anthracycline-treated tumours had a unique enrichment of single nucleotide variants, especially C>T mutations, in promoters and introns. Open chromatin promoter regions demonstrated a unique enrichment for C[C>T]G mutations, reminiscent of a thiopurine signature seen in relapsed acute lymphoblastic leukemia. To validate these findings, we generated and sequenced doxorubicin resistant cancer cell lines, which confirmed that anthracycline-induced somatic mutations preferentially occur in open chromatin regions. Despite the heart’s non-proliferative capacity, anthracycline-treated hearts had a significant enrichment of insertion-deletions in fetal cardiomyocyte open chromatin and non-B DNA regions. However, we did not find any exonic mutations in anthracycline-treated hearts, suggesting that disruption of the non-coding genome results in cardiotoxicity. Unexpectedly, we did not find any enrichment of somatic mutations in open chromatin regions for anthracycline-treated blood samples. Lastly, comparative analysis of the somatic mutational profiles of anthracycline-exposed hearts, tumours, and blood samples, we uncovered previously underappreciated tissue-specific mutational signatures. Significance: This study is the first to characterize the tissue-specific genomic consequences of anthracyclines on tumours, blood, and heart. We establish a foundation for developing tissue-specific mutational signatures as predictive biomarkers for the late effects. The early identification of high-risk patients will transform survivorship care, ensuring children with cancer do not merely survive their diagnosis – they thrive beyond it. Citation Format: Mathepan Jeya Mahendralingam, Mehdi Layeghifard, Burçak Otlu, Timmy Wen, Yael Babichev, Syed Kashif Daud, Shreya Gramolini, Rebecca Gladdy, Anita Villani, Seema Mital, Filio Billia, Adam Shlien. Tissue-specific mutational outcomes underlying the late effects of anthracyclines on tumours, blood, and heart [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Discovery and Innovation in Pediatric Cancer— From Biology to Breakthrough Therapies; 2025 Sep 25-28; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_2):Abstract nr B006.
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 | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 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) | 0,008 | 0,002 |
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 ».