Mansfield, Aaron S.

2621 Background: TMB is an emerging predictor of survival with immunotherapy. TMB is determined by taking the difference between somatic and germline datasets when tumor-normal pairs are available. In the case of commonly utilized tumor-only sequencing, additional steps are needed to estimate the somatic alterations. Computational tools have been developed that determine germline contribution based on sample copy state, purity estimates and occurrence of the variant in population databases. Given the potential bias of population datasets, we hypothesized that tumor-only filtering approaches may overestimate the actual TMB. Methods: We assessed the TMB from 50 tumors in 10 diseases including all missense, indels, and frameshift variants with an allelic fraction (AF) ≥5% and Coverage ≥100X within the tumor. Tumor-only TMB was evaluated against the gold standard of matched germline subtracted TMB at three levels. Level 1 removed all the tumor-only variants with AF in the non-TCGA ExAC database ≥1%. Level 2 removed all variants observed in population databases simulating a naive approach of removing germline variation. Level 3 used an internal tumor-only pipeline for calculating TMB. Results: There were significantly higher estimates of TMB with Level 1, Level 2 and Level 3 tumor-only filtering approaches than that determined by germline subtraction, resulting in significant bias. Whereas there was no correlation between TMB estimates and tumor-germline TMB for Level 1 filtering, there were improvements in correlations for Level 2 and Level 3. Conclusions: The tumor-only approaches that filter variants in population databases overestimate TMB compared to that determined by germline subtraction. Despite improved correlations with more stringent filtering approaches, these falsely elevated estimates may result in the inappropriate categorization of tumor specimens and negatively impact clinical trial results and patient outcomes. [Table: see text]

Abstract Background Immune-related adverse events (irAEs) have emerged as a serious clinical issue in the use of immune checkpoint inhibitors (ICIs). Risk factors for irAEs remain controversial. Therefore, we studied sex differences in irAEs in patients treated with anti-programmed cell death protein 1 (PD-1) therapy. Materials and Methods All patients with metastatic melanoma and non-small cell lung cancer (NSCLC) treated with anti-PD-1 therapy at Mayo Clinic Rochester and Florida from 2015 to 2018 were reviewed. Kaplan-Meier method and log-rank test was used for time-to-event analysis. Results In 245 patients with metastatic melanoma, premenopausal women were more likely to experience irAEs (all grades) compared with postmenopausal women and men (67% vs. 60% vs. 46%), primarily because of an increase in endocrinopathies (33% vs. 12% vs. 10%, respectively). In patients with NSCLC (231 patients), women (all ages) were also more likely to develop irAEs of all grades (48% vs. 31%). Women with NSCLC were more likely to develop pneumonitis (11% vs. 4%) and endocrinopathies (14% vs. 5%). No differences in grade ≥3 toxicities were seen across sexes in both cohorts, but women were more likely to receive systemic steroids for the treatment of irAEs compared with men. Better progression-free-survival was observed in women with NSCLC and irAEs (10 months vs. 3.3 months) compared with women without irAEs. Conclusion Women with metastatic melanoma and NSCLC are more likely to experience irAEs compared with men. We also observed differences between sexes in the frequency of certain irAEs. Larger studies are needed to investigate the mechanisms underlying these associations. Implications for Practice The results of this study suggest that women may be at a higher risk for immune-related adverse events (irAEs) compared with men when treated with anti-programmed cell death protein 1 therapy. In addition, women were more likely to develop certain irAEs, including endocrinopathies and pneumonitis. Close follow-up of women undergoing treatment with immune checkpoint inhibitors will allow clinicians to diagnose these treatment-related complications early, potentially reducing their associated morbidity and mortality. In addition, a possible association between irAEs and response to therapy was observed.

325 Background: Prostate cancer recurrence is detected by serum measurements of prostate specific antigen (PSA). Upon PSA elevation, locating sites of recurrence is important to guiding treatment and affecting patient outcomes. The imaging modalities in current practice have varying sensitivities and specificities and often miss early recurrent disease. 11C-choline positron emission tomography (11C-PET) may be able to detect occult disease and guide treatment decisions earlier in the clinical course. We assessed a case series of patients who underwent 11C-PET imaging and were identified to have thoracic disease to estimate the benefit of detection with this modality. Methods: Clinical records were retrospectively reviewed of seventy patients from thoracic oncology teams at Mayo Clinic in Rochester, Minnesota. Patients who had thoracic +/- extra-thoracic metastases on 11C-PET imaging were followed, noting changes in treatment and PSA trends to look for biochemical recurrence of disease. Results: Seventy patients with thoracic metastases discovered on 11C-PET imaging were initially identified. Median time to choline-avid disease from original diagnosis was 82 (IQR: 40-129) months with a median PSA at time of choline of 7.4 (IQR: 3.1-15.7). 11C-PET findings showed 28 patients with metastases limited to the thorax and 42 patients with thoracic and extra-thoracic metastases. After 11C-PET imaging, 1 patient underwent localized therapy only (radiation and surgery), 44 patients underwent systemic therapy only (chemotherapy or hormonal therapy), 19 patients underwent both localized (cryotherapy, radiation, or surgery) and systemic therapy, 3 patients underwent no further treatment, and 3 patients were lost to follow up. After a median follow-up of 36.5 (IQR: 13-52) months, 30 patients had no recurrence and 20 had evidence of biochemical recurrence. For those who underwent local therapy (N=21), 11 had no recurrence of disease. Conclusions: Choline-based imaging may earlier identify metastatic disease that is amenable to local therapy. Further studies are needed to validate the effectiveness of 11C-PET in identifying early, responsive metastatic prostate cancer and its utility in affecting patient outcomes.

Abstract In lung adenocarcinoma, gene fusion involving the anaplastic lymphoma kinase (ALK) gene leads to overexpression of its tyrosine kinase domain, which serves as the oncogenic driver in lung tumors carrying such a molecular alteration. Similar fusions involving ROS1, RET and NTRK are also found in lung cancer and tumors with oncogenic fusions often respond well to targeted therapy. However, these tumors do develop resistance to the targeting drug and patients eventually relapse while on treatment. Although newer drugs have been developed, it remains a challenge to effectively control cancer recurrence after targeted therapy. In vivo tumor models carrying these fusions, particularly those that have progressed while on targeted treatment, will help to facilitate further drug evaluations prior to their administration to the patient as well as offer an opportunity to better understand the molecular mechanisms driving disease onset, progression, and drug resistance in tumors carrying the fusion of interest. Here, we describe the first patient-derived tumor xenograft (PDX) carrying an STRN-ALK fusion. The patient was diagnosed with stage IV lung adenocarcinoma in 2011. She was initially treated with crizotinib and remained stable until 2015. At the time of disease progression, a biopsy was taken with patient consent under CT guidance from a chest wall mass using an 18-gauge needle and then implanted into two SCID-beige mice subcutaneously and into the fat pad of the kidney. Palpable tumor was observed in both mice at about 28 weeks post implantation and passaged at 36 weeks. They have been passaged two successive times and viably frozen. Pathologic analysis of the PDX showed that both tumors have the same mucinous morphology as observed in the original biopsy sample. RNA-seq and matepair analysis revealed that the tumors carry a rare fusion involving the first three exons of STRN and exon 20 to 3’ end of the ALK gene. The patient has been on ceritinib since January 2016 and remains stable as of last follow up. Several unique features contributed to the success of this study. 1) The metastatic chest wall lesion used for the PDX developed was easily accessible on the chest wall using a relative large 18-gauge needle for CT-guided biopsies. 2) The slow growth of the tumor biopsy mirrors the clinical course of the disease observed in the patient. 3) The patient remains clinically stable and continues to respond to TKi. The availability of a viable PDX tumor model for this rare STRN-ALK fusion offers a unique opportunity to identify the most appropriate drug for the patient at the time of disease progression as well as the opportunity to examine the unique molecular features associated with this rare ALK fusion. This work was supported in part by the National Foundation for Cancer Research Hillsberg Lung Cancer Translational Research Grant and by the Biomarker Discovery Program at the Mayo Clinic Center for Individualized Medicine. Citation Format: HongZheng Res, XiaoNan Hou, Karlyn E. Pierson, Patric Eiken, Asha Nair, PingYang Yang, Joanne Eunhee Yi, Aaron S. Mansfield, Jin Jen. Establishment of a unique patient-derived tumor model positive for STRN-ALK fusion from a patient with stage IV lung adenocarcinoma [abstract]. In: Proceedings of the Fifth AACR-IASLC International Joint Conference: Lung Cancer Translational Science from the Bench to the Clinic; Jan 8-11, 2018; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2018;24(17_Suppl):Abstract nr A17.

184 Background: Population level data regarding incidence of immune-related adverse events (irAE) is lacking. This study evaluated the frequency of irAEs among a large population of patients with non-small cell lung cancer (NSCLC) who received immune checkpoint inhibitors. Methods: Administrative claims data from a large U.S. commercial insurance database (OptumLabs Data Warehouse) were used to retrospectively identify patients with NSCLC who received PD-1 or PD-L1 inhibitors between January 1, 2015 to December 31, 2017. The frequencies of irAEs were reported, identified by having a new medical claim with a corresponding ICD-9 or ICD-10 code during the time period in which the patient was on immunotherapy. Results: Of 2,798 patients with NSCLC (median age at PD-(L)1 initiation: 69 years, interquartile range: 60-75, 1558 male [55.7%], 1240 [44.3%] female), 1,998 (71.4%) received nivolumab, 699 (25.0%) received pembrolizumab, and 101 (3.6%) received atezolizumab. Most patients (1463, 52.3%) received a PD-(L)1 inhibitor as second line therapy; the majority of patients (744) received alkylating agents and antimetabolites prior to receiving PD-(L)1 therapy. See Table 1 for frequencies of irAEs. Conclusions: The current study suggests that the frequencies of some irAEs related to immune checkpoint inhibitor therapies may be higher than those which were reported in the initial trials that led to the FDA approvals for immunotherapies. For example, hypophysitis was noted to occur in 0.6% of patients in the KEYNOTE-024 trial, but was identified in 2.4% of patients in this large cohort. Real world data may refine provider and patient expectations for outcomes beyond what is observed in clinical trials. [Table: see text]

Abstract PD-L1 expression levels derived from >16,000 samples guided the selection of tumor types likely to benefit from pembrolizuamb monotherapy in clinical trials. Although not fail-proof, FDA approvals for most of the prioritized indications speak to the power of RNA expression profiling and the value of large genomic datasets. See related article by Ayers et al., p. 1564