Weipert, Caroline

MSI-H identified by ctDNA: prevalence across 21 advanced cancers and outcomes from >700 patients.

Abstract Advanced hepatocellular carcinoma (HCC) is responsive to immune checkpoint inhibitors, but there are currently no known biomarkers to predict treatment benefit. Blood TMB (bTMB) estimation via circulating tumor DNA (ctDNA) profiling can provide a convenient means to estimate HCC TMB. Here we provide the first landscape of bTMB in advanced HCC using a commercially available next-generation sequencing assay, show that it is approximately three times as high as matched tissue TMB, and show that bTMB correlates with NAFLD cirrhosis etiology and the presence of genomic alterations in HTERT and TP53. These results lay the foundation for subsequent studies evaluating bTMB as an immune therapy predictive biomarker in HCC.

3601 Background: Two cfDNA assays are FDA-approved for use in advanced cancer pts across solid tumors. While several NCCN guidelines recommend cfDNA as a valid and useful method for molecular testing, the utility varies by cancer type. Despite the growing number of molecular alterations pertinent to first-line treatment in mCRC, current guidelines offer little guidance on the use of cfDNA in mCRC. Here we assess the ability of cfDNA to detect guideline-relevant actionable biomarkers informative for first-line therapy selection and beyond in patients with mCRC. Methods: We queried consecutive samples from advanced cancer pts with a diagnosis of CRC who underwent testing via a commercially available cfDNA assay (Guardant360) from September 2018 to January 2022. Validation and content of this assay has been previously described. To enrich for less heavily treated pts, we limited analysis to those whose first cfDNA test was done during the study period and only included the pt’s first test. The maximum variant allele fraction (maxVAF) for each test was used as a proxy for tumor shed and was compared between cancers with a Mann-Whitney test. The frequency of suspected germline alterations was assessed only in pts who received testing via a panel version with expanded mismatch repair (MMR) gene coverage. Tissue frequencies for select biomarkers were obtained from the MSK-IMPACT Clinical Sequencing Cohort in cBioPortal. Results: In total, 14,345 pts with mCRC received their first cfDNA test during the study period, with 92% of pts (13,190) having >1 cfDNA alteration detected. Median age was 62 and 44% of pts were female. The frequencies of key biomarkers are listed in Table 1. The median maxVAF was 5.6%, compared to 2.5% and 1.8% for pts with advanced gastric and NSCLC, respectively (p = < 0.0001 for both). The average turnaround time (TAT) for tests was 7 calendar days. Conclusions: cfDNA results from pts with mCRC demonstrated detection of biomarkers essential to first-line treatment decisions at a frequency comparable to what has been reported via tissue genotyping. mCRC pts had significantly higher tumor shed compared to other cancer types with guidelines that recommend cfDNA as an option for molecular testing, suggesting a potential gap in coverage. Tissue availability in mCRC does not guarantee comprehensive testing is completed quickly (compared to the 7-day TAT seen for cfDNA here), making it an attractive alternative strategy for first-line therapy selection in mCRC. [Table: see text]

165 Background: A prior study of patients with advanced cancers treated with immune checkpoint inhibitors (ICI) associated improved overall survival with tissue tumor mutational burden above the 80th percentile in each histology (tTMB-H). TMB can also reliably be calculated via liquid biopsy (bTMB), and trends higher than tTMB in analogous tumors. Here, we generate a plasma-informed benchmark for bTMB-H in advanced prostate cancer and report preliminary data from an ongoing multi-institutional case series of patients treated with ICI. Methods: Circulating tumor DNA (ctDNA) next generation sequencing (NGS) results from 3,504 patients with advanced prostate cancer who received a Guardant360 liquid biopsy within a 12-month period were analyzed. The 80th percentile of TMB was defined as the benchmark for bTMB-H in this cohort, and prevalence of microsatellite instability (MSI-H) was determined. Subsequently, clinical data were collected from patients across five institutions who received pembrolizumab based on bTMB scores or other tumor characteristics (i.e. CDK12 mutation). Results: Overall, mean and median bTMB were calculated as 12.34 mut/Mb and 8.61 mut/Mb, respectively (range: 0 – 1164.75 mut/Mb). The 80th percentile of bTMB was 13.4 mut/Mb and the 90th percentile was 16.6 mut/Mb. 2.6% of patients were both MSI-H and bTMB-H. No patients with bTMB < 13.4 mut/Mb (TMB-L) were found to be MSI-H. Ten patients from five institutions received pembrolizumab (8 monotherapy) after a median of 4.5 lines of prior therapy (Table). Four patients were MSI-H. The 3 patients in the cohort with PSA decreases > 50% had both MSI-H and bTMB ≥ 13.4 mut/Mb. Per RECIST criteria, disease was controlled (CR, PR, SD) in 6 of 7 (86%) patients with bTMB scores ≥ 13.4 mut/Mb. Conclusions: These data continue to affirm that ctDNA NGS is a practical and cost-effective means of assessing potential predictors of ICI activity in patients with advanced prostate cancer. Preliminary data from this growing cohort of patients who have received ICI guided by bTMB scores and other molecular parameters identified via ctDNA NGS, including MSI-H, demonstrate a clinical benefit from therapy. Further studies are warranted for contextualizing individual tumor bTMB scores with established, pathology-specific benchmarks.[Table: see text]

3040 Background: Pembrolizumab was recently FDA approved across solid tumors for TMB scores ≥ 10mut/Mb as assessed by next-generation sequencing (NGS) of tissue (tTMB). A prior study of advanced cancer patients treated with immunotherapy found that higher somatic TMB, as defined by the 80th percentile in each histology, was associated with better overall survival. Previously, bTMB assessed by ctDNA from patients with newly diagnosed advanced NSCLC at a score of 16 mut/MB correlated with a tTMB score of 10 mut/MB. TMB levels vary by cancer type, line of treatment, and therapy received; the distribution of bTMB scores across solid tumor types has not been well characterized. Here we report the distribution of bTMB scores in patients with advanced malignancies. Methods: We queried 5,610 samples from patients with different cancer types undergoing clinical cell-free DNA testing (Guardant360; Redwood City, CA) and assessed bTMB scores from October 2020 - January 2021. bTMB score was derived via a previously described computational algorithm examining the total number of synonymous and non-synonymous SNVs and indels across a 1.0MB genomic footprint. We assessed the success rate of bTMB evaluation, overlap with microsatellite instability (MSI) status, and defined the distribution of bTMB levels across indications in this dataset. Results: bTMB score was successfully assessed in 4,275/5,610 (76.3%) samples (Table). The majority of samples (58%) were tested at disease progression as compared to initial diagnosis (42%). The median turnaround time from sample receipt to clinical reporting was 11 days and decreased to 9 days over the course of the study. For the majority of cancer types the 80th percentile TMB was ≥ 16 mut/MB tissue equivalency. Conclusions: Our analysis demonstrates the feasibility of measuring bTMB using a commercially available liquid biopsy assay. bTMB scores trended higher than tTMB previously reported in these cancer types, reflecting the ability of ctDNA to better capture tumor heterogeneity. cfDNA may allow for exploration of bTMB evolution throughout treatment. TMB should be interpreted in the context of disease, treatment, and method; these data establish a pan-cancer benchmark for bTMB which will serve as a resource for further studies.[Table: see text]