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Korde N, Tavitian E, Mastey D, Lengfellner J, Hevroni G, Zarski A, Salcedo M, Mailankody S, Hassoun H, Smith EL, Hultcrantz M, Shah U, Tan C, Diamond B, Shah G, Scordo M, Lahoud O, Chung DJ, Landau H, Giralt S, Derkach A, Atkinson TM, Sabbatini P, König F, Usmani SZ, Landgren O, Lesokhin AM. Association of patient activity bio-profiles with health-related quality of life in patients with newly diagnosed multiple myeloma: a prospective observational cohort study. EClinicalMedicine 2023; 57:101854. [PMID: 36895800 PMCID: PMC9989635 DOI: 10.1016/j.eclinm.2023.101854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 01/10/2023] [Accepted: 01/17/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Due to the nature of their disease, patients with multiple myeloma (MM) often have bone disease-related pain that limits physical activity and diminishes health-related quality of life (HRQOL). Digital health technology with wearables and electronic patient reported outcome (ePRO) tools can provide insights into MM HRQoL. METHODS In this prospective observational cohort study conducted at Memorial Sloan Kettering Cancer in NY, NY, USA, patients with newly diagnosed MM (n = 40) in two cohorts (Cohort A - patients <65 years; Cohort B - patients ≥65 years) were passively remote-monitored for physical activity at baseline and continuously for up to 6 cycles of induction therapy from Feb 20, 2017 to Sep 10, 2019. The primary endpoint of the study was to determine feasibility of continuous data capture, defined as 13 or more patients of each 20-patient cohort compliant with capturing data for ≥16 h of a 24-hr period in ≥60% of days of ≥4 induction cycles. Secondary aims explored activity trends with treatment and association to ePRO outcomes. Patients completed ePRO surveys (EORTC - QLQC30 and MY20) at baseline and after each cycle. Associations between physical activity measurements, QLQC30 and MY20 scores, and time from the start of treatment were estimated using a linear mixed model with a random intercept. FINDINGS Forty patients were enrolled onto study, and activity bioprofiles were compiled among 24/40 (60%) wearable user participants (wearing the device for at least one cycle). In an intention to treat feasibility analysis, 21/40 (53%) patients [12/20 (60%) Cohort A; 9/20 (45%) Cohort B] had continuous data capture. Among data captured, overall activity trended upward cycle over cycle for the entire study cohort (+179 steps/24 h per cycle; p = 0.0014, 95% CI: 68-289). Older patients (age ≥65 years) had higher increases in activity (+260 steps/24 h per cycle; p < 0.0001, 95% CI: -154 to 366) compared to younger patients (+116 steps/24 h per cycle; p = 0.21, 95% CI: -60 to 293). Activity trends associated with improvement of ePRO domains, including physical functioning scores (p < 0.0001), global health scores (p = 0.02), and declining disease burden symptom scores (p = 0.042). INTERPRETATION Our study demonstrates that feasibility of passive wearable monitoring is challenging in a newly diagnosed MM patient population due to patient use. However, overall continuous data capture monitoring remains high among willing user participants. As therapy is initiated, we show improving activity trends, mainly in older patients, and that activity bioprofiles correlate with traditional HRQOL measurements. FUNDING Grants -National Institutes of HealthP30 CA 008748, Awards - Kroll Award 2019.
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Affiliation(s)
- Neha Korde
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Corresponding author. Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, 530 E.74th St., NY, 10021, USA
| | - Elizabet Tavitian
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Donna Mastey
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joseph Lengfellner
- Research and Technology Management, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gil Hevroni
- Department of Medicine, SUNY Downstate, New York, NY, USA
| | - Andrew Zarski
- Research and Technology Management, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Meghan Salcedo
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sham Mailankody
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hani Hassoun
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Malin Hultcrantz
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Urvi Shah
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Carlyn Tan
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Gunjan Shah
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael Scordo
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Oscar Lahoud
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David J. Chung
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Heather Landau
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sergio Giralt
- Adult Bone Marrow Transplant Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andriy Derkach
- Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Thomas M. Atkinson
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Paul Sabbatini
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Francesca König
- Department of Physical Medicine & Rehabilitation, University of Colorado Medicine, Aurora, CO, USA
| | - Saad Z. Usmani
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Alexander M. Lesokhin
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Smyth LM, Zhou Q, Nguyen B, Yu C, Lepisto EM, Arnedos M, Hasset MJ, Lenoue-Newton ML, Blauvelt N, Dogan S, Micheel CM, Wathoo C, Horlings H, Hudecek J, Gross BE, Kundra R, Sweeney SM, Gao J, Schultz N, Zarski A, Gardos SM, Lee J, Sheffler-Collins S, Park BH, Sawyers CL, André F, Levy M, Meric-Bernstam F, Bedard PL, Iasonos A, Schrag D, Hyman DM. Characteristics and Outcome of AKT1 E17K-Mutant Breast Cancer Defined through AACR Project GENIE, a Clinicogenomic Registry. Cancer Discov 2020; 10:526-535. [PMID: 31924700 DOI: 10.1158/2159-8290.cd-19-1209] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/18/2019] [Accepted: 01/10/2020] [Indexed: 01/10/2023]
Abstract
AKT inhibitors have promising activity in AKT1 E17K-mutant estrogen receptor (ER)-positive metastatic breast cancer, but the natural history of this rare genomic subtype remains unknown. Utilizing AACR Project GENIE, an international clinicogenomic data-sharing consortium, we conducted a comparative analysis of clinical outcomes of patients with matched AKT1 E17K-mutant (n = 153) and AKT1-wild-type (n = 302) metastatic breast cancer. AKT1-mutant cases had similar adjusted overall survival (OS) compared with AKT1-wild-type controls (median OS, 24.1 vs. 29.9, respectively; P = 0.98). AKT1-mutant cases enjoyed longer durations on mTOR inhibitor therapy, an observation previously unrecognized in pivotal clinical trials due to the rarity of this alteration. Other baseline clinicopathologic features, as well as durations on other classes of therapy, were broadly similar. In summary, we demonstrate the feasibility of using a novel and publicly accessible clincogenomic registry to define outcomes in a rare genomically defined cancer subtype, an approach with broad applicability to precision oncology. SIGNIFICANCE: We delineate the natural history of a rare genomically distinct cancer, AKT1 E17K-mutant ER-positive breast cancer, using a publicly accessible registry of real-world patient data, thereby illustrating the potential to inform drug registration through synthetic control data.See related commentary by Castellanos and Baxi, p. 490.
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Affiliation(s)
| | - Qin Zhou
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Bastien Nguyen
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Celeste Yu
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | | | | | | | | | | | | | | | - Chetna Wathoo
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hugo Horlings
- Netherlands Cancer Institute (NKI), Amsterdam, the Netherlands
| | - Jan Hudecek
- Netherlands Cancer Institute (NKI), Amsterdam, the Netherlands
| | | | - Ritika Kundra
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Shawn M Sweeney
- American Association for Cancer Research, Philadelphia, Pennsylvania
| | - JianJiong Gao
- Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Andrew Zarski
- Memorial Sloan Kettering Cancer Center, New York, New York
| | | | - Jocelyn Lee
- American Association for Cancer Research, Philadelphia, Pennsylvania
| | | | - Ben H Park
- Vanderbilt Ingram Cancer Center, Nashville, Tennessee
| | | | | | - Mia Levy
- Vanderbilt Ingram Cancer Center, Nashville, Tennessee
| | | | | | - Alexia Iasonos
- Memorial Sloan Kettering Cancer Center, New York, New York
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