Here, we describe a novel specific telomere-associated protein: TZAP (Telomeric Zinc finger-Associated Protein). TZAP binds preferentially to long telomeres that have a low concentration of shelterin complex, in virtue of competition with the telomeric repeat binding factors TRF1 and TRF2. When localized at telomeres, TZAP triggers “telomere trimming”, a process that results in the rapid deletion of telomeric repeats. Based on these results, we propose a novel model for telomere length regulation in mammalian cells. Binding of TZAP to telomeres is restricted to long telomeres and represents the switch that triggers telomere trimming, setting the upper limit of telomere length. In this model, the reduced concentration of the shelterin complex at long telomeres results in TZAP binding and initiation of telomere trimming.

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239 Background: In part, TMB guides therapeutic decisions on the use of immune checkpoint inhibitors (ICIs) in aPC. Most patients (pts) with aPC do not have high TMB (TMB-H) at the time of initial assessment. However, TMB changes over time (from treatment pressure) as pts progress through lines of therapy (LOT) has not been extensively explored in aPC. We describe real world data on changes to blood TMB (bTMB) in pts with aPC exposed to several LOT. Methods: Genomic results from pts with aPC who had ≥1 ctDNA test(s) with TMB analyzed (Guardant360, Guardant Health, Inc) as part of clinical care from Oct 2020 – Jun 2022 were retrospectively queried. Clinical factors were extracted from test requisition forms; pts from Mayo Clinic had additional factors, including intervening treatment, extracted from medical records. High bTMB (TMB-H) was defined as ≥13.4 mut/Mb, as previously reported. Proportions were compared using Fisher’s Exact Test. Results: 316 patients with a median age of 72 (range: 44-91) were analyzed. Initial median TMB for the entire cohort was 8.18 mut/Mb (range: 0.01-268.3). On subsequent test, TMB decreased in 122(40%), increased in 173(55%), of whom 29 (17%) became TMB-H; 21 (7%) had unchanged TMB. Median time between tests was 182 days (range: 21-578). 101 patients with 262 tests and a median age of 71 years (range: 46-87) were clinically annotated in the Mayo cohort of whom 58 had >2 consecutive TMB scores: 25 (43%) had TMB increase, of whom 4 (16%) became TMB-H, 23 (40%) had TMB decrease, 10 (17%) had dynamic changes with increases and decreases. Numeric but not statistically significant differences in clinical factors were observed between groups (p>0.05). Conclusions: In this real world cohort, variation in TMB is seen with increasing LOT. Importantly, nearly 1 in 5 patients with increasing tumor mutational burden develop TMB-H, which may be a clinically actionable finding as these pts become eligible for ICI. Findings underscore the importance of repeat genetic testing with time and LOT. [Table: see text]

600 Background: Hepatocellular carcinoma (HCC) is the most common primary liver cancer and is associated with a high mortality burden. Lenvatinib is an effective frontline tyrosine kinase inhibitor for HCC but is associated with primary and acquired resistance in most patients. Molecular mechanisms of resistance to lenvatinib remain unclear. Methods: We retrospectively analyzed 227 patients with HCC who underwent baseline ctDNA profiling as a component of routine clinical care, including 46 patients who had serial ctDNA analysis done at baseline and after progression to lenvatinib or ICI. Clinical data including demographics, treatment history, tumor responses, and survival outcomes were abstracted from the electronic medical record. Tumor response was categorized according to RECIST 1.1. A national registry of HCC that underwent ctDNA testing using Guardant360 was analyzed to determine the prevalence of EGFR/ERBB2 alterations in HCC. Results: Nearly a third of patients who progressed on lenvatinib demonstrated a gain in EGFR/ ERBB2 amplifications or activating mutations. No consistent trend in EGFR/ ERBB2 amplifications and alterations was found among ICI refractory HCC. Disease control rates (including complete response, partial response, and stable disease) were 20% in EGFR/ERBB2 altered HCC treated with lenvatinib, 62.5% in EGFR/ERBB2 wildtype HCC treated with lenvatinib (p = 0.05), and 58% in EGFR/ERBB2 altered HCC treated with ICIs (p = 0.09). PFS was also longer in EGFR/ERBB2 wildtype HCC treated with lenvatinib (5.9 months) and EGFR/ERBB2 altered HCC treated with ICIs (7.1 months) compared to EGFR/ERBB2 altered HCC treated with lenvatinib (2.2 months, p = 0.002). In a national cohort of 1739 patients with HCC, EGFR amplifications and activating mutations occurred in 6.5% and 1.5% of cases, respectively, and ERBB2 amplifications and activating mutations occurred in 1.9% and 0.7% of cases, respectively. Among EGFR/ERBB2 mutations, we identified recurrent gatekeeper mutations, including multiple A547T and T790M mutations, in 31% of patients. Conclusions: Our study substantiates EGFR/ERBB2 amplifications and mutations as putative drivers of lenvatinib resistance in patients with HCC and identifies the genetic mechanisms for EGFR pathway activation in refractory cancers. EGFR/ERBB2 alterations may thus represent predictive and pharmacodynamic markers of lenvatinib resistance. These findings lend support to the use of EGFR inhibitors combined with lenvatinib in previously untreated or lenvatinib refractory cancers.

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