Abstract IA021: Novel genomic features of POLE-mutant tumors: the utility for tumor classification and identification of new driver alleles

Abstract

Abstract Alterations in the exonuclease domain of POLE drive the development of ultramutated endometrial tumors with better prognosis. A hallmark of these tumors is the accumulation of G>T mutations in AGA sequences; however, understanding of their genomic features beyond the trinucleotide motifs is limited. We applied a novel computational framework to the whole-exome sequencing data of 524 endometrial tumors reported by The Cancer Genome Atlas network to analyze the extended DNA sequence context of ultramutation. We found that the presence of POLE driver alleles is associated with an increased frequency of G>T mutations in polypurine tracts. Sequences containing three consecutive purines, including the classic AGA context, are only moderately mutable, but the mutability increased abruptly as the tract length reached six or more purines. Moreover, mutations showed a strong preference for certain positions within the tracts, creating a characteristic quantifiable pattern. Using this signature, we developed a machine learning classifier to identify tumors with hitherto unknown POLE drivers and validated two new drivers, POLE-E978G and POLE-S461L, by functional assays in yeast. Unlike previously known pathogenic variants, the E978G substitution affects the DNA polymerase rather than exonuclease domain of POLE. We further show that the extended genomic signature of POLE ultramutation is shared by tumors with POLD1 drivers. These findings uncover new mechanisms of ultramutation and highlight the limitations of the current focus on POLE exonuclease domain variants when stratifying patients. Citation Format: Daria Ostroverkhova, Kathryn Tyryshkin, Annette K. Beach, Elizabeth A. Moore, Yosef Masoudi-Sobhanzadeh, Stephanie R. Barbari, Igor B Rogozin, Konstantin V Shaitan, Anna R Panchenko, Polina V. Shcherbakova. Novel genomic features of POLE-mutant tumors: the utility for tumor classification and identification of new driver alleles [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr IA021.