Citations

TPS8604 Background: Chemoimmunotherapy followed by durvalumab maintenance yields a median overall survival of 12.9 months in patients with extensive stage Small Cell Lung Cancer (ES SCLC), which is an improvement over chemotherapy alone. However, 90% of these patients will have progressive disease. While topotecan and lurbinectedin have established modest activity in the second line, it is unknown whether continuing immunotherapy in this setting confers additional benefit. In preclinical studies lurbinectedin, a DNA minor groove binder, used with immune checkpoint inhibitors has synergistic effects. Methods: This phase 2 trial is enrolling patients with ES SCLC who have progressed on platinum based chemoimmunotherapy, to three treatment groups. Group 1 includes patients with platinum sensitive SCLC who will receive durvalumab (1500 mg given as an intravenous [IV] infusion once every 3 weeks) and topotecan (1.25 mg/m2/day IV for 5 consecutive days every 3 weeks). In Groups 2A and 2B, patients with platinum sensitive and platinum resistant disease respectively, receive durvalumab and lurbinectedin (3.2 mg/m2 IV on Day 1 of every 21-day cycle). Patients with platinum sensitive disease are assigned to Groups 1 or 2A based on the preferences of the treating physician and the patient. Patients with treated/stable CNS metastases are eligible. The primary endpoint is the proportion of patients who are alive at 6 months (6OS) for Group 1 and the proportion of patients who are alive and progression-free at 6 months (6PFS) in Groups 2A and 2B. Secondary endpoints include safety, adverse event profile, response rate, PFS, and OS. The sample size is based on a 2-stage Simon Optimal Design. For Treatment Group 1, with 22 eligible patients there is 80% power to detect a true 6-month OS rate (6OS) of 75%, with 10% alpha under the null hypothesis that the true 6OS is at most 50%. For Treatment Group 2A, with 20 eligible patients this design has 80% power to detect a true 6-month PFS rate (6PFS) of 65%, with 10% alpha under the null hypothesis that the true 6PFS is at most 40%. For Treatment Group 2B, with 22 eligible patients this design has 80% power to detect a true 6-month PFS rate (6PFS) of 40%, with 10% alpha under the null hypothesis that the true 6PFS is at most 19%. To account for possible drop-outs, accrual targets will be 24, 22, and 24 patients to Groups 1, 2A, and 2B respectively. For the safety analyses, 6 patients will be enrolled at the starting dose level for each treatment group (1, 2) and then briefly closed to accrual to assess adverse events. If we observe 2+ DLTs in these 6 treated patients during Cycle 1 within a treatment group (1 vs. 2), we will declare the combination treatment too toxic and lower the starting dose of chemotherapy for the next 6 patients. The study was open for all 3 groups as of January 2022 and has accrued 2 patients. Clinical trial information: NCT04607954.

Currently, there is no known clinical evidence that rituximab increases the rate of subsequent primary malignancies; however, some studies have raised the question of increased melanoma risk following rituximab treatment for non-Hodgkin lymphoma. We report three interesting cases of suspected rituximab-induced melanoma. We hypothesize that this association is secondary to rituximab-driven shifts in the immunologic balance. Based on these cases, it is possible that the number of post-rituximab melanoma cases is underreported. Further mechanistic research into individual cases and population-level studies are required to better define association and risk; however, given the increasing prevalence of oncologic and nononcologic rituximab use, awareness across all fields is essential.

e20554 Background: The paradigm for locally advanced non-small cell lung cancer has been markedly altered to include maintenance durvalumab (D) post completion of definitive chemoradiation (CRT) following the publication of the Pacific trial in 2018. The toxicity of this treatment has not been well evaluated in the real-world setting. Methods: We identified 42 patients (pts) with Stage IIB-IIIC NSCLC treated at Mayo Clinic Rochester between 6/1/2018 and 10/1/2020 who received definitive CRT followed by maintenance D. Data were abstracted by retrospective chart review under an IRB approved protocol. Results: Median age was 66 yrs (range 47-90) and 62% were women. Primary lung cancer histology included 19 adenocarcinoma, 20 squamous cell, and 3 adenosquamous. The distribution of stages was: IIB (4/42), IIIA (15/42), IIIB (19/42), IIIC (4/42). Approximately half of patients had PDL1 expression > 25% (20/42). With a median follow up of 12.2 months (calculated from first cycle of D; range 4.2-30.5 months), 14 had completed one year of maintenance D, 16 were receiving ongoing D, and 10 stopped D early with 6/12 discontinuing due to disease progression (4/6 local progression, 2/6 distant progression). Other reasons for discontinuation (5/10) included grade 3 colitis, grade 2 hepatitis, aspergillus lung infection, and flare of autoimmune disorders. One quarter of patients experienced grade 2 radiation pneumonitis (RP; 10/42) with median time to development of RP 78 days from end of CRT and 45 days from start of D. RP was determined by multidisciplinary review of imaging and treatment fields. 17/42 patients developed immune related adverse events (see Table for details). There was minimal overlap between the patients who experienced pneumonitis and immune related toxicity; 2/17 had both pneumonitis and immune related toxicity (hepatitis, thyroiditis). Conclusions: In our early experience with the Pacific regimen, 29% of patients did not complete D due to either toxicity or progression during D administration. Pneumonitis was common (10/42 patients) although there were no grade 3 events. Nearly half of the patients developed an immune-related adverse event. Further analysis is needed to evaluate the real-world toxicity of this treatment as well as oncologic outcomes.[Table: see text]

Abstract Background: Next-generation sequencing provides comprehensive information about individuals’ genetic makeup and is commonplace in precision oncology practice. Due to the heterogeneity of individual patient’s disease conditions and treatment journeys, not all targeted therapies were initiated despite actionable mutations. To better understand and support the clinical decision-making process in precision oncology, there is a need to examine real-world associations of patients’ genetic information and treatment choice.Methods: To fill the gap of insufficient use of real-world data (RWD) in electronic health records (EHRs), we generated a single Resource Description Framework (RDF) resource, called PO2RDF (precision oncology to RDF) by integrating information regarding gene, variant, disease, and drug from genetic reports and EHRs. Results: There are total 2,309,014 triples contained in the PO2RDF. Among them 32,815 triples are related to Gene, 34,695 triples are related to Variant, 8,787 triples are related to Disease, 26,154 triples are related to Drug. We performed one use case analysis to demonstrate the usability of the PO2RDF: we examined real-world associations between EGFR mutations and targeted therapies to confirm existing knowledge and detect off-label use. Conclusions: In conclusion, our work proposed to use RDF to organize and distribute clinical RWD that is otherwise inaccessible externally. Our work serves as a pilot study that will lead to new clinical applications and could ultimately stimulate progress in the field of precision oncology.

Abstract Chromosomal rearrangements involving ALK, ROS1, RET and others generate novel fusion kinases which comprise approximately 10% of the oncogenic drivers in lung adenocarcinoma. Several tyrosine kinase inhibitors (TKIs) are approved or in development for each of these oncogenes and have shown marked clinical improvement for patients, but resistance inevitably occurs, a significant proportion of which is not currently druggable. AXL is a receptor tyrosine kinase that is often upregulated in resistant cancers in response to both chemotherapy and targeted therapies such as EGFR inhibitors. AXL can promote resistance to targeted therapy by signaling through the MAPK and Akt pathways or heterodimerizing with other receptors to maintain growth and survival signaling. However, the role of AXL in mediating resistance to ALK, ROS1, and RET TKIs is not well understood. In screening our unique panel of patient-derived lung adenocarcinoma cell lines harboring ALK, ROS1 or RET gene fusions, we found elevated AXL expression was correlated with resistance to cognate TKIs, as well as mesenchymal features including spindle morphology and vimentin expression. Combining the AXL inhibitor R428 with TKI treatment, such as crizotinib for ALK and ROS1 driven cell lines, was effective at inhibiting colony formation and wound healing in fusion kinase inhibitor resistant cell lines. Combination treatment downregulates Akt phosphorylation in resistant cells, and we found the resistant cell lines were also more sensitive to PI3K inhibition than cell lines that are still sensitive to their specific TKI. Interestingly, we also identified AXL cross talk with other receptor tyrosine kinases. In a RET inhibitor resistant model expression of both AXL and EGFR are elevated and the receptors interact, which can be disrupted upon EGF stimulation, to drive resistance. Collectively, we show that AXL upregulation is a common marker of TKI resistance among ALK, ROS1, and RET fusion kinase driven lung adenocarcinoma models, and provide rationale for AXL as a clinical target for combination therapy to overcome drug resistance. Citation Format: Tara Peters, Anastasios Dimou, Anh Le, Robert Doebele. Identifying the role of AXL in fusion kinase inhibitor resistant non-small cell lung cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5262.

e22020 Background: The combination of nab-paclitaxel (NP) and bevacizumab (BEV) in patients with MM has shown promising clinical activity. AB160 is a 160 nm nano-immunoconjugate of NP nanoparticles non-covalently coated with BEV for targeted delivery into high VEGF expressing tissues. Preclinical data showed that AB160 improved tumor targeting/ tumor inhibition more than NP followed by BEV. Methods: A 3+3 phase I trial was conducted in patients (pts) with MM who had prior systemic treatment for metastatic disease to determine the maximum tolerated dose of AB160 administered intravenously on days 1, 8 and 15 of a 28-day cycle. Dose level 1 (DL1) was 125 mg/m2 NP /50 mg/m2 BEV. Dose limiting toxicities (DLT) included grade (G) 4 neutropenia or anemia, PLT < 25,000, serum creatinine ≥ 2 times baseline, G2-4 neurologic toxicity or G3-4 non-hematologic toxicities. Tumor evaluations (RECIST) were conducted every 8 weeks. Treatment continued until progression or intolerability. Results: 21 pts (11 ♀) aged 36-78 years old were enrolled. One of the first 3 pts on DL1 developed a G2 colonic perforation; this was considered a DLT. One of the next 3 pts on DL1 had a DLT: G4 neutropenia. Of the 3 pts on DL-1 (100 mg/m2 NP/40 mg/m2 BEV), 2 had no DLTs and 1 died of sepsis after C1D1 dose. Enrollment was suspended until an amendment modifying the eligibility criteria was approved by the IRB. The trial reopened. One of the 4 pts on DL-1 and 1 of the 5 pts on DL1 had a DLT: G3 pain and G3 fatigue, respectively. Enrollment ended after 2 of the 3 pts on DL2 (150 mg/m2 NP/ 60 mg/m2 BEV) developed G4 neutropenia. Thus, MTD is DL1. A median of 3 cycles was administered. Treatment ended due to progression (9), intolerability (9), refusal (2) and death (1). There were no objective tumor responses. Common G3-4 toxicities were: neutropenia (33%) and thromboembolic events (19%). Conclusions: AB160 was found to have insufficient clinical benefit in patients with previously treated MM to justify further development. However, parallel phase I testing in gynecologic cancers suggests clinical benefit (abstract #300225). Clinical trial information: NCT02020707.

9517 Background: Although PD-1/L1 axis directed therapies induce durable responses in some mm patients (pts), biomarkers of response remain elusive. We hypothesized that quantifying key immune suppression mechanisms within the tumor microenvironment would provide superior predictors of response to anti-PD-1 compared with single marker assessment. Methods: Pre-treatment tumor biopsies from 124 mm pts treated with anti-PD-1 at 7 academic centers were fluorescently stained with multiple immune markers in discovery (n = 24) and validation (n = 100) cohorts. Selected biomarker signatures, PD-1/PD-L1 interaction score (proportion of PD-1+ cells co-localized with PD-L1) and IDO1/HLA-DR co-expression were evaluated for anti-PD-1 treatment response and survival. Slides were imaged using Vectra; biomarker positive cells and their co-localization were objectively quantified in pathologist-selected regions using novel Automated Quantitative Analysis (AQUA) algorithms. Results: In the discovery cohort, high levels of PD-1/PD-L1 interaction score and/or IDO1/HLA-DR coexpression was strongly positively associated with response to anti-PD-1 (p = 0.0005). In contrast, other individual biomarkers (PD-1, PD-L1, CD8) were not associated with response or survival (p > 0.10). This finding was replicated in the validation cohort: pts with high PD-1/PD-L1 and/or IDO1/HLA-DR were more likely to respond to treatment (p = 0.009). These pts also experienced a three-fold increase in progression free survival (hazards ratio (HR) = 0.33; p = 0.003) and overall survival (HR = 0.34; p = 0.004). Multivariate analyses revealed that these findings were independent of BRAF mutation, stage, LDH and prior therapy. In the combined cohort (n = 124), 80% of responding pts had higher levels of PD-1/PD-L1 interaction scores and/or IDO1/HLA-DR. In contrast, PD-L1 expression alone (≥1% or ≥50%) was not predictive of PFS or OS (p > 0.1). Conclusions: This novel multiplexed method profiling key tumor-immune suppression pathways identified mm pts likely to respond to anti-PD-1 therapy. This method could help stratify patients for PD-1 monotherapy and be useful in guiding future clinical trials.

Abstract Purpose: PD-1/L1 axis–directed therapies produce clinical responses in a subset of patients; therefore, biomarkers of response are needed. We hypothesized that quantifying key immunosuppression mechanisms within the tumor microenvironment by multiparameter algorithms would identify strong predictors of anti–PD-1 response. Experimental Design: Pretreatment tumor biopsies from 166 patients treated with anti–PD-1 across 10 academic cancer centers were fluorescently stained with multiple markers in discovery (n = 24) and validation (n = 142) cohorts. Biomarker-positive cells and their colocalization were spatially profiled in pathologist-selected tumor regions using novel Automated Quantitative Analysis algorithms. Selected biomarker signatures, PD-1/PD-L1 interaction score, and IDO-1/HLA-DR coexpression were evaluated for anti–PD-1 treatment outcomes. Results: In the discovery cohort, PD-1/PD-L1 interaction score and/or IDO-1/HLA-DR coexpression was strongly associated with anti–PD-1 response (P = 0.0005). In contrast, individual biomarkers (PD-1, PD-L1, IDO-1, HLA-DR) were not associated with response or survival. This finding was replicated in an independent validation cohort: patients with high PD-1/PD-L1 and/or IDO-1/HLA-DR were more likely to respond (P = 0.0096). These patients also experienced significantly improved progression-free survival (HR = 0.36; P = 0.0004) and overall survival (HR = 0.39; P = 0.0011). In the combined cohort, 80% of patients exhibiting higher levels of PD-1/PD-L1 interaction scores and IDO-1/HLA-DR responded to PD-1 blockers (P = 0.000004). In contrast, PD-L1 expression was not predictive of survival. Conclusions: Quantitative spatial profiling of key tumor-immune suppression pathways by novel digital pathology algorithms could help more reliably select melanoma patients for PD-1 monotherapy. Clin Cancer Res; 24(21); 5250–60. ©2018 AACR.