Abstract IA06: The role of hypermutation and replication repair deficiency in response of childhood cancers to immune checkpoint inhibitors

• Published in: Cancer research (Chicago, Ill.) Ill.), 2018-10, Vol.78 (19_Supplement), p.IA06-IA06
• Main Author: Tabori, Uri
• Format: Article
• Language: English
• ISSN: 0008-5472; 1538-7445
• DOI: 10.1158/1538-7445.PEDCA17-IA06

Cancers exert mutations on the genome that are used to both drive cancers and cause resistance to common therapies but also can be used to study the history of the specific tumor and find its Achilles’ heel. Although cancer uses alterations such as copy number alterations, fusion genes, and other types of mutations, single nucleotide variations (SNV) are a common cause of cancer initiation and progression. Most studies define specific mutations and their driving force in cancer, but few address the role of mutational load in cancer. Recent data suggest that high mutational load stems from specific mutagenic processes that can be related to external processes, including genotoxic therapies, and internal processes, including genetic predisposition to cancer. Indeed, inherited replication repair deficiency (RRD) caused by mutations in the RRD genes results in a cancer syndrome characterized by the highest mutational load among human cancers. It is important to recognize and study the impact of hypermutation in cancer since these tumors may be resistant to current therapies and may respond to immune checkpoint inhibition. In order to study the above issues, we compiled data from >80,000 tumors from multiple organs in children and adults. We define hypermutation as >10mut/MB and ultrahypermutation as >100mut/MB. This nomenclature is important in order to compare and stratify tumors for clinical trials. A portion (about 5%) of childhood cancers are hypermutant and are enriched for RRD. Importantly, hypermutation exist in many types of childhood cancers and define an important clinical subgroup. Furthermore, all ultrahypermutant childhood cancers will have driver mutations in RRD genes. Similarly, 17% of adult tumors have hypermutations that are enriched for RRD throughout all cancer types and are also enriched for RRD. Hypermutation can be used to study the tumor history and biologic behavior. Using mutational load, mutational signatures, and allelic frequency, one can determine the true drivers among many mutations in specific oncogenes. Mutational signatures stratify these cancers into 8 clusters regardless of tissue of origin. These clusters include novel ones that provide data on the initial driver events and secondary ones related to resistance to chemotherapy. Finally, using the above nomenclature one can decipher potential early mutations that could be traced to the germline. These are so specific that by contacting physicians who sent tumor for sequencin