Desai, Aakash

Introduction Salivary gland neoplasms (SGNs) respond poorly to the traditional chemotherapy agents limiting the availability of systemic treatment options in the metastatic setting. The recent identification of actionable molecular targets in SGNs has led to the evaluation of targeted therapies in non-approved advanced SGNs. Case Report We present the case of an elderly male with HER-2 Neu overexpressing metastatic mucoepidermoid carcinoma (MEC) who demonstrated a prompt and sustained disease response to targeted therapies directed against HER-2 Neu with long survival interrupted by hepatoxicity to Trastuzumab emtansine (TDM-1) treatment. Management and Outcome: The patient was started on Trastuzumab and Pertuzumab on a clinical trial and resulted in an objective improvement sustained over 3 years. Following the disease progression, TDM-1 was started with a response until the patient developed severe hepatotoxicity as an adverse effect of TDM-1 therapy resulting in its discontinuation. Close follow-up post-treatment-discontinuation demonstrated continued clinical improvement until 6 months, when the patient developed brain metastasis. He passed away a few months later in hospice care. Discussion The metastatic MEC in our patient overexpressed HER-2 Neu. Owing to Trastuzumab and Pertuzumab response, Trastuzumab emtansine (TDM-1) was initiated on a compassionate basis which further extended the survival but had to be terminated owing to adverse effects. Given the paucity of data on targeted therapies in the treatment of metastatic SGNs and the safety, tolerability, and efficacy of TDM-1 therapy among the elderly, further studies are warranted to answer these important questions and to identify eligible patients for this novel treatment option.

Abstract Background: BRAF and MEK inhibitors are currently FDA approved for melanoma, non-small cell lung cancer, and anaplastic thyroid cancer. The lack of clinical benefit with BRAF inhibition in BRAF V600+ colorectal cancer (CRC) has prevented its tissue-agnostic drug development. However, updated results from Vemurafenib-Basket study (Cancer Discov. 2020 May;10(5):657-663 ) and the NCI-match trial ( J Clin Oncol. 2020 Nov 20;38(33):3895-3904) reveal that BRAF pathway inhibition is active in > 20 unique cancer types. Objective: We aimed to describe the characteristics of BRAF V600 and study real-world outcomes using a clinico-genomic analysis using the AACR Genie database and the current medical literature. Methods: We reviewed the AACR GENIE database for the prevalence of BRAF V600 mutations across tumor types. We conducted a literature search (using PubMed from 2012-2019) for case reports of clinical response and outcomes in patients with BRAF V600 mutation-positive non-melanoma cancers who received BRAF inhibitor therapy. Results: Among 96,324 samples, BRAF V600 mutations were seen in 43 different tumor types across 2,963 samples (3.07 %) in the AACR GENIE database. BRAF V600 was most commonly present in thyroid cancer (40.9%), parathyroid cancer (31.8%), melanoma (26.1%), histiocytosis (25.7%), and head and neck NOS (14.3%). Literature review revealed total of 178 cases across 69 tumor types. The most common cases included Erdheim-Chester disease (n = 30, 16.9%), papillary thyroid carcinoma (n=16, 8.9%), anaplastic thyroid carcinoma (n = 13, 7.3%), and hairy cell leukemia (n = 13, 7.3%). Furthermore, dabrafenib (BRAF), dabrafenib/trametinib (BRAF+MEK), trametinib(MEK), vemurafenib (BRAF), vemurafenib/trametinib (BRAF+MEK), vemurafenib/cobimetinib (BRAF+MEK) were used in 34% (n =56), 16% (n = 27), 4% (n = 6), 44% (n = 72), 1% (n = 1), 2% (n =3), respectively. Overall, median PFS was 6.5 months, and median OS was 28.5 months with a median duration of response (DOR) of 8 months. Conclusion: BRAF V600 mutations are prevalent across multiple non-melanoma cancers, lead to oncogene addiction and are clinically actionable in a broad range of non-melanoma cancers. Continued drug development is warranted beyond the current BRAF+/- MEK approved cancers. Citation Format: Jacob J. Adashek, Aakash P. Desai, Arjun K. Menta, Jason Roszik, Vivek Subbiah. Pan-cancer efficacy of BRAF and/or MEK inhibitors in BRAF V600-mutant multiple non-melanoma cancers: A clinico-genomic study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1479.

Abstract Background: Activating receptor-tyrosine kinase rearranged during transfection (RET) mutations and fusions have been recognized as potent drivers of oncogenesis in multiple malignancies. Recently, highly potent and selective RET inhibitors, selpercatinib and pralsetinib have been FDA approved for RET fusion+ NSCLC and selpercatinib for RET+ thyroid cancers. Here we present a comprehensive analysis of RET alterations in pan-cancer adult malignancies. Patients and methods: 96,324 samples from 89,754 patients available from AACR Project Genie database version 8 were analyzed for the prevalence of RET fusions, mutations, and copy number alterations in diverse cancer types accessed July 21, 2020. The races of the samples within the cohort were 69,962 (72.6%) white, 5,388 (5.6%) Black, 4,909 (5.1%) Asian, 163 (0.17%) Native American, 48 (0.05%) Pacific Islander, and 15,854 (16.5%) were unknown. Results: There were 56,382 (58.5%) samples from primary tumors, 24,204 (25.1%) samples from unspecified metastasis sites, 4,798 (5.0%) from distant organ metastasis, 1,379 (1.4%) from lymph node metastasis, 1,279 (1.3%) from local recurrence, and 8,282 (8.6%) unknown. In 96,324 tumor samples there were 2,706 (2.81%) RET alterations. This included 223 (0.23%) fusions, 1,689 RET mutations found (1.75%) in 21 tumor histologies, and 794 (0.82%) RET amplifications identified; where the most abundant tissues harboring RET fusions were NSCLC (n = 121), papillary thyroid cancer (n = 53), breast cancer (n = 8) and colorectal cancer (n = 7) and the most abundant tissues harboring RET missense mutations were NSCLC (n = 355), colorectal cancer (n = 292), melanoma (n = 236), and thyroid cancer (n = 127). NSCLC samples with RET fusions had significantly co-altered KRAS, SETD2, PVRL4, EZH1, and RRAGC. Conclusions: RET fusions represent extremely rate events in multiple cancers. RET missense mutations occur in 2% of malignancies. Most RET missense variants are described as variants of unknown significance, limiting the impact of precision oncology for the majority of patients with RET alterations. Further functional characterization of RET variants is warranted because RET is highly targetable with therapeutics. Citation Format: Jacob J. Adashek, Alexander Andreev-Drakhlin, Jason Roszik, Aakash P. Desai, Vivek Subbiah. The landscape of 2,706 RET alterations from 89,754 adult patients with cancer: Clinical implications [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1221.

PURPOSE: The goal of this study was to assess the impact of an interdisciplinary remote patient monitoring (RPM) program on clinical outcomes and acute care utilization in cancer patients with COVID-19. METHODS: This is a cross-sectional analysis following a prospective observational study performed at Mayo Clinic Cancer Center. Adult patients receiving cancer-directed therapy or in recent remission on active surveillance with polymerase chain reaction–confirmed SARS-CoV-2 infection between March 18 and July 31, 2020, were included. RPM was composed of in-home technology to assess symptoms and physiologic data with centralized nursing and physician oversight. RESULTS: During the study timeframe, 224 patients with cancer were diagnosed with COVID-19. Of the 187 patients (83%) initially managed in the outpatient setting, those who did not receive RPM were significantly more likely to experience hospitalization than those receiving RPM. Following balancing of patient characteristics by inverse propensity score weighting, rates of hospitalization for RPM and non-RPM patients were 2.8% and 13%, respectively, implying that the use of RPM was associated with a 78% relative risk reduction in hospital admission rate (95% CI, 54 to 102; P = .002). Furthermore, when hospitalized, these patients experienced a shorter length of stay and fewer prolonged hospitalizations, intensive care unit admissions, and deaths, although these trends did not reach statistical significance. CONCLUSION: The use of RPM and a centralized virtual care team was associated with a reduction in hospital admission rate and lower overall acute care resource utilization among cancer patients with COVID-19.

e18635 Background: With almost 85% of patients treated outside NCI-designated cancer centers, providing comprehensive, state-of-the-art cancer care to millions of patients in the U.S. remains a significant challenge. We aimed to combine cutting edge AI based technology of DLVTB with high value-added services to provide evidence-based care management recommendations and implementation support to the patients and physicians in the community. To further demonstrate the feasibility, reproducibility, scalability, and benefits of DLVTB, we evaluated key outcomes from incorporating DLVTB in a cohort of 35 patients with advanced colorectal adenocarcinoma (CRC). Methods: Our core-enabling technology is a deep learning based Natural Language Understanding Engine that employs (1) natural language processing for medical text digestion and structuring, (2) decision trees and multilayer perception models to produce evidence-based treatment protocols, and (3) natural language based report generation. The technology platform is combined with human support from oncology sub-specialists to deliver a comprehensive Interpretive Report with a prioritized list of recommendations for each patient. These recommendations are operationalized by a case management team to ensure care implementation and monitoring of outcomes. Results: Thirty-five patients with CRC were referred for incorporation of DLVTB into clinical practice. Median age of patients was 57 years with 68.6% males. About 88.6% of the patients were Stage IV and 82.9% were treated by community practice oncologists. Median time since diagnosis was 17 months (1-73 months). Overall, DLVTB-cohort demonstrated an increase in median Overall Survival of 12 months per patient in comparison with historical cohorts. More specifically, DLVTB recommended initial and/or additional biomarker testing for 71% of the patients with further precision oncology-guided treatment recommendation (e.g. an EGFR inhibitor) for 80% of the patients. 63% of the patients were eligible for at least one clinical trial. 58% of the trials identified were within proximity (≤50 miles) of the patient’s primary residence. Thus, DLVTB was able to identify a trial that did not require extensive travel, provided eligibility and actionability closer to the point-of-care. 14% of the DLVTB evaluated patients subsequently enrolled in the recommended clinical trial, far surpassing the national average (3%). Moreover, DLVTB recommended treatments achieved on average savings of $39,194 per patient which is 35% of the average drug cost per patient. Conclusions: Our results demonstrate the feasibility and benefits of incorporating DLVTB into clinical practice. The utilization of DLVTB as a clinical trial enrollment tool and an engine for development of pathways resulting in improved clinical outcomes, in a cost-effective, and innovative care delivery model.

e13573 Background: UpToDate is an evidence based clinical resource designed to provide current clinical information. It is a widely used clinical practice tool providing evidenced based recommendations for diagnosis, management, and therapy. The extent of COI among the UpToDate authors has not been well studied. Our study evaluated the extent of COI of UpToDate authors involved in medical management recommendations for the 10 most common cancers in United States. Methods: We examined the latest November 2020 version of the UpToDate clinical management recommendations for 10 most common cancers. Using disclosure lists, we catalogued COIs for participants in each work group. The categories included: Category I- Grant/Research/Clinical Trial Support; Category II- Consultant/Scientific Advisory Boards/Expert witness; Category III- Speakers Bureau; Category IV- Equity Ownership/Stock Options/Patent holder/Employment/Other Financial Interest; and Category V- Spouse/Domestic Partner/Dependent Potential Conflict. We cataloged the companies/institutions involved in each disclosure. An “episode” describes 1 instance of participation of an individual in 1 company in 1 category for each cancer section. Results: There was a total of 207 authors including section and deputy editors of oncology management section. All authors completed their COI disclosures (100%). 128 (62%) of a total of 207 individuals reported COIs. A total of 1343 episodes were disclosed. We found that each author had an average of 10.49 episodes overall. Authors involved in Category I, II, III, IV & V were 6.3%, 13.5%, 3.2%, 4.7% and 1.6% respectively. 29.36% authors were involved both in Category I and II. A total of 672 company affiliations were associated with COI disclosure. AstraZeneca (6.10%), Merck (4.31%) and Novartis (2.68%) were the companies most frequently reported. The guideline with the maximum episodes (223) was prostate cancer. Conclusions: COIs are prevalent among authors of UpToDate clinical management recommendations. More than ½ of the participants disclosed at least 1 COI, but there appears to be a substantial number of experienced experts without COIs. Further research studies are necessary to determine the impact of these COIs on clinical practice patterns and resource utilization. Distribution of COI and total episodes.[Table: see text]