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Despite the effectiveness of immuno-chemotherapy, 40% of patients with diffuse large B-cell lymphoma (DLBCL) experience relapse or refractory disease. Longitudinal studies have previously focused on the mutational landscape of relapse but fell short of providing a consistent relapse-specific genetic signature. In our study, we have focused attention on the changes in GEP accompanying DLBCL relapse using archival paired diagnostic/relapse specimens from 38 de novo patients with DLBCL. COO remained stable from diagnosis to relapse in 80% of patients, with only a single patient showing COO switching from activated B-cell–like (ABC) to germinal center B-cell–like (GCB). Analysis of the transcriptomic changes that occur following relapse suggest ABC and GCB relapses are mediated via different mechanisms. We developed a 30-gene discriminator for ABC–DLBCLs derived from relapse-associated genes that defined clinically distinct high- and low-risk subgroups in ABC–DLBCLs at diagnosis in datasets comprising both population-based and clinical trial cohorts. This signature also identified a population of

Triple negative breast cancers (TNBC) exhibit inter- and intra-tumour heterogeneity, which is reflected in diverse drug responses and interplays with tumour evolution. Here, we use TNBC patient-derived tumour xenografts (PDTX) as a platform for co-clinical trials to test their predictive value and explore the molecular features of drug response and resistance. Patients and their matched PDTX exhibited mirrored drug responses to neoadjuvant therapy in a clinical trial. In parallel, additional clinically-relevant treatments were tested in PDTXsin vivoto identify alternative effective therapies for each PDTX model. This framework establishes the foundation for anticipatory personalised therapies for those patients with resistant or relapsed tumours. The PDTXs were further explored to model PDTX- and treatment-specific behaviours. The dynamics of drug response were characterised at single-cell resolution revealing a novel mechanism of response to olaparib. Upon olaparib treatment PDTXs showed phenotypic plasticity, including transient activation of the immediate-early response and irreversible sequential phenotypic switches: from epithelial to epithelial-mesenchymal-hybrid states, and then to mesenchymal states. This molecular mechanism was exploitedex vivoby combining olaparib and salinomycin (an inhibitor of mesenchymal-transduced cells) to reveal synergistic effects. In summary, TNBC PDTXs have the potential to help design individualised treatment strategies derived from model-specific evolutionary insights.

Environmental carcinogenic exposures are major contributors to global disease burden yet how they promote cancer is unclear. Over 70 years ago, the concept of tumour promoting agents driving latent clones to expand was first proposed. In support of this model, recent evidence suggests that human tissue contains a patchwork of mutant clones, some of which harbour oncogenic mutations, and many environmental carcinogens lack a clear mutational signature. We hypothesised that the environmental carcinogen

Introduction: Increasing our understanding of drivers of mutagenesis in lung cancer is critical in our efforts to prevent tumor reoccurrence and resistance. Results: Using the multi-region TRACERx lung cancer study, we uncovered that APOBEC3B is significantly upregulated when compared with other APOBEC family members in EGFR driven lung cancer and identified subclonal enrichment of APOBEC mutational signatures. To model APOBEC mutagenesis in lung cancer, several novel EGFR mutant mouse models containing a human APOBEC3B transgene were generated. Using these models, it was uncovered that APOBEC3B expression is detrimental at tumor initiation when expressed continuously in a p53 wildtype background. This detrimental effect is likely due to elevated chromosomal instability, which was observed to increase significantly with APOBEC3B expression in an EGFR mutant TP53 deficient mouse model. Induction of subclonal expression of APOBEC3B in an EGFR mutant mouse model with tyrosine kinase inhibitor (TKI) therapy resulted in a significant increase in resistant tumor development. Significant downregulation of the base excision repair gene uracil-DNA glycosylase (UNG) was also observed in APOBEC3B expressing mice, which paralleled findings in patient tumors and cell lines treated with TKI therapy. Finally, a mouse mutational signature was identified in APOBEC3B expressing cell lines, reinforcing the idea that APOBEC driven mutagenesis contributes to TKI resistance. Conclusion: This study demonstrates a unique principle by which targeted therapy induces changes within tumors ideal for APOBEC driven tumor evolution, fueling therapy resistance. Citation Format: Manasi Mayekar, Deborah Caswell, Natalie Vokes, Emily K. Law, Wei Wu, William Hill, Eva Gronroos, Andrew Rowan, Maise Al Bakir, Clare Weeden, Caroline E. McCoach, Collin M. Blakely, Nuri Alpay Temiz, Ai Nagano, Daniel L. Kerr, Julia K. Rotow, Oriol Pich, Franziska Haderk, Michelle Dietzen, Carlos Martinez Ruiz, Bruna Almeida, Lauren Cech, Beatrice Gini, Joanna Przewrocka, Chris Moore, Miguel Murillo, Bjorn Bakker, Brandon Rule, Cameron Durfee, Shigeki Nanj, Lisa Tan, Lindsay K. Larson, Prokopios P. Argyris, William L. Brown, Johnny Yu, Carlos Gomez, Philippe Gui, Rachel I. Vogel, Elizabeth A. Yu, Nicholas J. Thomas, Subramanian Venkatesan, Sebastijan Hobor, Su Kit Chew, Nicholas McGranahan, Nnennaya Kanu, Eliezer M. Van Allen, Julian Downward, Reuben S. Harris, Trever Bivona, Charles Swanton. Targeted cancer therapy induces APOBEC fueling the evolution of drug resistance [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2197.