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Abstract
The landscape of cyclin-dependent kinase 4/6 inhibitor (CDK4/6i) resistance is still being elucidated and the optimal subsequent therapy to overcome resistance remains uncertain. Here we present the final results of a phase Ib/IIa, open-label trial (NCT02871791) of exemestane plus everolimus and palbociclib for CDK4/6i-resistant metastatic breast cancer. The primary objective of phase Ib was to evaluate safety and tolerability and determine the maximum tolerated dose/recommended phase II dose (100 mg palbociclib, 5 mg everolimus, 25 mg exemestane). The primary objective of phase IIa was to determine the clinical benefit rate (18.8%, n = 6/32), which did not meet the predefined endpoint (65%). Secondary objectives included pharmacokinetic profiling (phase Ib), objective response rate, disease control rate, duration of response, and progression free survival (phase IIa), and correlative multi-omics analysis to investigate biomarkers of resistance to CDK4/6i. All participants were female. Multi-omics data from the phase IIa patients (n = 24 tumor/17 blood biopsy exomes; n = 27 tumor transcriptomes) showed potential mechanisms of resistance (convergent evolution of HER2 activation, BRAFV600E), identified joint genomic/transcriptomic resistance features (ESR1 mutations, high estrogen receptor pathway activity, and a Luminal A/B subtype; ERBB2/BRAF mutations, high RTK/MAPK pathway activity, and a HER2-E subtype), and provided hypothesis-generating results suggesting that mTOR pathway activation correlates with response to the trial’s therapy. Our results illustrate how genome and transcriptome sequencing may help better identify patients likely to respond to CDK4/6i therapies.
Intrinsic and acquired resistances to CDK4/6 inhibitors have been described in patients with breast cancer. Here the authors report the results from a phase I/II clinical trial of the aromatase inhibitor exemestane plus everolimus (mTOR inhibitor) and palbociclib (CDK4/6i) in patients with metastatic breast cancer, assessing safety, clinical efficacy, as well as genomic and transcriptomic determinants of resistance.
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Details
; Barroso-Sousa, Romualdo 2 ; Jain, Esha 3 ; Jin, Qingchun 4
; Li, Tianyu 4 ; Buendia-Buendia, Jorge E. 5 ; Pereslete, Alyssa 6
; Abravanel, Daniel L. 1
; Ferreira, Arlindo R. 7 ; Wrabel, Eileen 6 ; Helvie, Karla 6 ; Hughes, Melissa E. 6 ; Partridge, Ann H. 8
; Overmoyer, Beth 8
; Lin, Nancy U. 8 ; Tayob, Nabihah 9
; Tolaney, Sara M. 8
; Wagle, Nikhil 10
1 Eli and Edythe L. Broad Institute of MIT and Harvard, Cancer Program, Cambridge, USA (GRID:grid.66859.34) (ISNI:0000 0004 0546 1623); Dana-Farber Cancer Institute, Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Harvard Medical School, Department of Medicine, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
2 Dana-Farber Cancer Institute, Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Harvard Medical School, Department of Medicine, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Hospital Sírio-Libanês, Oncology Center, Brasília, Brazil (GRID:grid.413471.4) (ISNI:0000 0000 9080 8521)
3 Eli and Edythe L. Broad Institute of MIT and Harvard, Cancer Program, Cambridge, USA (GRID:grid.66859.34) (ISNI:0000 0004 0546 1623); Dana-Farber Cancer Institute, Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Repare Therapeutics, Cambridge, USA (GRID:grid.65499.37)
4 Dana-Farber Cancer Institute, Boston, Department of Data Science, Massachusetts, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
5 Eli and Edythe L. Broad Institute of MIT and Harvard, Cancer Program, Cambridge, USA (GRID:grid.66859.34) (ISNI:0000 0004 0546 1623); Dana-Farber Cancer Institute, Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Cellarity, Somerville, USA (GRID:grid.509037.8)
6 Dana-Farber Cancer Institute, Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
7 Dana-Farber Cancer Institute, Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Champalimaud Clinical Centre, Champalimaud Foundation, Breast Unit, Lisbon, Portugal (GRID:grid.421010.6) (ISNI:0000 0004 0453 9636)
8 Dana-Farber Cancer Institute, Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Harvard Medical School, Department of Medicine, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
9 Dana-Farber Cancer Institute, Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Harvard Medical School, Department of Medicine, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Dana-Farber Cancer Institute, Boston, Department of Data Science, Massachusetts, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
10 Eli and Edythe L. Broad Institute of MIT and Harvard, Cancer Program, Cambridge, USA (GRID:grid.66859.34) (ISNI:0000 0004 0546 1623); Dana-Farber Cancer Institute, Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Harvard Medical School, Department of Medicine, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Genentech, South San Francisco, USA (GRID:grid.38142.3c) (ISNI:0000 0004 5899 3818)




