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Pimentel Muniz T, Lone H, Arteaga DP, Gray D, Silveira Vilbert Pereira MT, Mantle L, Singh R, Genta S, Saibil S, Hogg D, Spreafico A, Butler MO. Outcomes of non-treatment naive melanoma patients with central nervous system relapse. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.9557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
9557 Background: Melanoma has a high probability of central nervous system (CNS) spread. Although first line nivolumab and ipilimumab resulted in 56% response rate and 29.2 months median overall survival (OS) in patients with melanoma brain metastases (MBM), there is paucity of data for patients who develop MBM after prior systemic therapy. As this subgroup is often underrepresented in clinical trials, we aimed to evaluate the OS of non-treatment naïve patients who develop MBM and identify factors related to survival. Methods: In this single-center, retrospective study, consecutive melanoma patients with > 90 days from exposure to either immune checkpoint inhibitor (ICI), targeted therapy (TT), or chemotherapy, to CNS relapse were included. OS was defined as the time between CNS relapse and death by any cause. The Log-Rank method was used to calculate OS. Cox regression analysis was used to identify differences between subgroups. Variables with a p value < 0.1 were included in a multivariate model. A p value < 0.05 was considered statistically significant. Results: Between 2012 and 2018, 135 patients were identified. Median age was 57 (29-92) years, 92 (68%) were male, and median number of prior systemic therapies was 2 (1-6). One-hundred and nine (81%) patients had cutaneous melanoma; acral lentiginous melanoma (ALM) comprised 11 (8%) patients. Molecular studies were available for 123 patients, of whom 61 (50%) were BRAF V600 mutant. Eighty-nine (66%) patients had prior ICI, of whom 33 (37%) had prior exposure to both anti-PD1 and anti-CTLA-4, either as monotherapy or combination. Amongst the BRAF V600 mutant population, 48 (79%) had prior TT. Radiotherapy was given to 112 patients, of whom 55 (49%) had SRS. Median follow-up was 41 (95% CI 30-51) months. Median OS was 6.4 (95% CI 5.3-7.5) months. Patients with ALM, > 3 MBM, ECOG 2-4 and active treatment at CNS relapse (< 30 days from last dose of treatment to MBM diagnosis) were at increased risk of death, whilst subsequent treatment with ICI was related to better survival (Table). On multivariate analyses, age ( p = 0.007), subtype ( p = 0.04), number of MBM ( p = 0.01), active treatment at CNS relapse ( p < 0.001) and subsequent ICI ( p = 0.002) remained statistically significant. Exploratory analyses suggested subsequent treatment with anti-PD1 + anti-CTLA-4 (n = 42) compared favourably to subsequent anti-CTLA-4 only (n = 21) (13 x 7 months, p = 0.004), and was independent of prior ICI. Conclusions: Previously treated melanoma patients who develop MBM have a poor prognosis, but subsequent ICI therapy seems to be associated with better OS. Further clinical investigation to identify optimal anti-PD1-based therapies is warranted for non-treatment naïve patients who develop MBM.[Table: see text]
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Affiliation(s)
- Thiago Pimentel Muniz
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Hadee Lone
- School of Medicine, University of Toronto, Toronto, ON, Canada
| | - Diana Paola Arteaga
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Diana Gray
- Tumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | | | - Luke Mantle
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Raviya Singh
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Sofia Genta
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Samuel Saibil
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - David Hogg
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Anna Spreafico
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Marcus O. Butler
- Tumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
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Arteaga DP, Saeed Kamil Z, Pimentel Muniz T, Liu D, King I, Stockley T, Gray D, Saibil S, Hogg D, Spreafico A, Butler MO. BRAF testing timelines and impact on the starting of systemic treatment. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.e21575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21575 Background: Targeted therapy with BRAF and MEK inhibitors constitute part of the standard treatment for BRAF V600 mutated melanoma. Timely detection of BRAF mutation is necessary for clinicians and patients to make treatment decisions. We aimed to map the BRAF testing timelines from the time of request until the reported result in order to assess obstacles to timely BRAF reporting in our community, and its impact on the initiation of systemic therapy. Methods: In this single-center retrospective study, we included adult patients referred to the Medical Oncology Department at the Princess Margaret Cancer Centre (PM) from January 2019 to August 2019 with histologically confirmed cutaneous or mucosal melanoma and BRAF molecular testing performed in 2019. The Log-Rank method was applied to detect differences in BRAF turnaround time and time to treatment initiation in specified subgroups. A p value < 0.05 was considered statistically significant. Results: Sixty-six cases were identified. The median age was 64 (24-88), and 42 (64%) were male. At the time of BRAF request, 10 (15%) patients had stage II, 33 (50%) had stage III, and 23 (35%) had stage IV disease. Twenty-eight (43%) were positive for the BRAF V600E/K mutation by ARMS assay and 4 (6%) for other variants by NGS test. Thirty-three (50%) patients had the BRAF test available at their first PM Medical Oncology visit. Median time between BRAF request and result was 17 days; when a reflex BRAF test was ordered by the Pathology Department, the median turnaround time was 12 days (95% CI 8-15), compared to 20 days (95% CI 16-23) if the order was requested by another specialist ( p < 0.001). Median time to transfer samples between institutions was 6 days. If the BRAF test was processed within the institution where the biopsy was performed, the BRAF median turnaround time was 13 days (95% CI 6-19) compared to 19 days (95% CI 16-21) if a sample was transferred to another institution ( p = 0.02). In total, 49 patients had systemic therapy. Median time between the first visit with Medical Oncology and treatment initiation was 29 days and was not statistically different if the BRAF result was available or not (28 vs. 34 days; p = 0.09). In the subgroup with stage IV disease (Table), 20 patients received systemic therapy; the median time to treatment initiation was 24 days and differed with BRAF result availability (20 vs. 31 days, p = 0.03). Conclusions: The current BRAF testing timeline at the PM varies from days to weeks. A major factor impacting this timeline is transfer time, which can be streamlined by pathology reflex testing. Delays in turnaround time appears to impact subsequent timing and type of therapeutic interventions, especially in patients with stage IV disease.[Table: see text]
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Affiliation(s)
- Diana Paola Arteaga
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Zaid Saeed Kamil
- Department of Laboratory Medicine and Pathobiology, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Thiago Pimentel Muniz
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Diane Liu
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Ian King
- Princess Margaret Cancer Centre, Toronto, ON, Canada
| | | | - Diana Gray
- Tumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Samuel Saibil
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - David Hogg
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Anna Spreafico
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Marcus O. Butler
- Tumor Immunotherapy Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada
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