Multicenter Real-World Data of Subsequent Chemotherapy after Progression to PARP Inhibitors in a Maintenance Relapse Setting
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Outcomes
2.3. Statistical Analysis
3. Results
3.1. Patients’ Characteristics and General Description of the Populations of Study
3.2. Outcomes in the PS Population
3.3. Outcomes in the PR Relapsed Population
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Overall | PS | PR | p | |
---|---|---|---|---|
n = 111 | n = 81 | n = 30 | ||
Age at diagnosis (years), Median [IQR] | 59.8 [53.9; 69.4] | 60.0 [55.7; 69.2] | 58.1 [52.5; 70.3] | 0.725 |
Histology, n (%): | 0.573 | |||
HGSOC | 107 (96.4%) | 77 (95.1%) | 30 (100.0%) | |
HGEOC | 4 (3.6%) | 4 (4.9%) | 0 (0.0%) | |
BRCA mutational status, n (%): | 0.131 | |||
Positive | 46 (41.4%) | 36 (44.4%) | 10 (33.3%) | |
WT | 59 (53.2%) | 39 (48.1%) | 20 (66.7%) | |
Variants of unknown significance (VUS) | 6 (5.4%) | 6 (7.4%) | 0 (0.0%) | |
Other HRR genes mut, n (%): | - | |||
Positive | 9 (9.6%) | 8 (11.3%) | 1 (4.3%) | |
Pt-based chemo immediately previous to PARPi, n (%): | 1.000 | |||
Pt monotherapy | 11 (9.9%) | 8 (9.9%) | 3 (10.0%) | |
Pt doublet | 100 (90.1%) | 73 (90.1%) | 27 (90.0%) | |
Months from last cycle of prior Pt to initiation of Pt immediately pre-PARPi (prior TFI), n (%): | 0.019 | |||
<6 m | 3 (2.7%) | 0 (0.0%) | 3 * (10.0%) | |
6–12 m | 46 (41.4%) | 33 (40.7%) | 13 (43.3%) | |
>12 m | 58 (52.3%) | 46 (56.8%) | 12 (40.0%) | |
Non-available | 4 (3.6%) | 2 (2.5%) | 2 (6.7%) | |
Number of previous lines to PARPi (including the immediately previous), Median [IQR] | 2.0 [2.0; 3.0] | 2.0 [2.0; 3.0] | 2.0 [2.0; 3.8] | 0.267 |
Number of previous lines to PARPi (including the immediately previous), n (%): | 0.730 | |||
=2 | 64 (57.7%) | 48 (59.3%) | 16 (53.3%) | |
>2 | 47 (42.3%) | 33 (40.7%) | 14 (46.7%) | |
Number of cycles of Pt-based chemo immediately previous to PARPi, Median [IQR] | 6.0 [5.0; 6.0] | 6.0 [5.0; 6.0] | 6.0 [5.0; 6.0] | 0.072 |
Best response to Pt-based chemo immediately previous to PARPi, n (%): | 0.319 | |||
CR | 21 (18.9%) | 18 (22.2%) | 3 (10.0%) | |
PR | 81 (73.0%) | 57 (70.4%) | 24 (80.0%) | |
SD | 9 (8.1%) | 6 (7.4%) | 3 (10.0%) | |
Months with Pt-based CT treatment, Median [IQR] | 4.3 [3.5; 5.1] | 4.6 [3.6; 5.5] | 4.1 [3.4; 4.7] | 0.055 |
PARPi, n (%): | 0.008 | |||
olaparib | 49 (44.1%) | 42 (51.9%) | 7 (23.3%) | |
niraparib | 60 (54.1%) | 37 (45.7%) | 23 (76.7%) | |
rucaparib | 2 (1.8%) | 2 (2.5%) | 0 (0.0%) | |
Months with PARPi, Median [IQR] | 7.4 [4.3; 12.2] | 9.5 [6.5; 14.7] | 3.7 [2.8; 4.0] | <0.001 |
Prior PARPi, n (%): | 0.388 | |||
Yes | 1 (1.0%) | 1 (1.3%) | 0 (0.0%) | |
No | 99 (96.1%) | 74 (97.4%) | 25 (92.6%) | |
Maybe | 3 (2.9%) | 1 (1.3%) | 2 (7.4%) | |
Months from finishing Pt pre-PARPi to Pt pre-PARPi progression (PFI), Median [IQR] | 9.3 [5.6; 14.2] | 12.0 [8.8; 17.1] | 4.6 [3.7; 5.2] | <0.001 |
Months from PARPi initiation to Pt pre-PARPi progression (PFI-PARPi), Median [IQR] | 7.5 [4.0; 12.3] | 9.9 [6.2; 14.6] | 3.0 [2.4; 3.9] | <0.001 |
Total | BRCA MUTANT | BRCA WT/Others | p | |
---|---|---|---|---|
n = 74 | n = 35 | n = 39 | ||
Best response to CT administered after PARPi progression, n (%): | 0 | 0.004 | ||
CR | 6 (8.1%) | 5 (14.3%) | 1 (2.6%) | |
PR | 25 (33.8%) | 9 (25.7%) | 16 (41.0%) | |
SD | 20 (27.0%) | 5 (14.3%) | 15 (38.5%) | |
PROG | 23 (31.1%) | 16 (45.7%) | 7 (17.9%) | |
OS * | 20.6 (13.6–28.9) | 16.4 (9.3–27.5) | 24.2 (17.2, NR) | 0.036 |
PFS * | 6.6 (6–9.2) | 3.5 (2.5–8.6) | 7.5 (6.5–10.1) | 0.030 |
Mutant | WT/VUS | p | |
---|---|---|---|
n = 35 | n = 39 | ||
Age at diagnosis (years), Median [IQR] | 59.7 [53.5; 65.7] | 61.2 [56.5; 70.6] | 0.155 |
Histology, n (%): | 0.117 | ||
HGSOC | 35 (100.0%) | 35 (89.7%) | |
HGEOC | 0 (0.0%) | 4 (10.3%) | |
Pt-based chemo immediately previous to PARPi, n (%): | 0.245 | ||
Pt monotherapy | 5 (14.3%) | 2 (5.1%) | |
Pt doublet | 30 (85.7%) | 37 (94.9%) | |
Months from last cycle of prior Pt to initiation of Pt immediatly pre-PARPi, n (%): | 0.553 | ||
6–12 m | 13 (37.1%) | 18 (46.2%) | |
>12 m | 21 (60.0%) | 21 (53.8%) | |
Non-available | 1 (2.9%) | 0 (0.0%) | |
Number of previous lines to PARPi (including the immediately previous), Median [IQR] | 2.0 [2.0; 3.0] | 2.0 [2.0; 3.0] | 0.493 |
Number of previous lines to PARPi (including the immediately previous), n (%): | 0.423 | ||
=2 | 23 (65.7%) | 21 (53.8%) | |
>2 | 12 (34.3%) | 18 (46.2%) | |
Number of cycles of Pt-based chemo immediately previous to PARPi, Median [IQR] | 6.0 [6.0; 6.0] | 6.0 [5.0; 6.0] | 0.477 |
Best response to Pt-based chemo immediately previous to PARPi, n (%): | 0.579 | ||
CR | 10 (28.6%) | 8 (20.5%) | |
PR | 22 (62.9%) | 29 (74.4%) | |
SD | 3 (8.6%) | 2 (5.1%) | |
Months with Pt-based CT treatment, Median [IQR] | 4.7 [4.0; 5.8] | 4.2 [3.3; 5.3] | 0.055 |
PARPi, n (%): | <0.001 | ||
olaparib | 33 (94.3%) | 7 (17.9%) | |
niraparib | 2 (5.7%) | 31 (79.5%) | |
rucaparib | 0 (0.0%) | 1 (2.6%) | |
Months with PARPi, Median [IQR] | 11.9 [8.2; 20.7] | 8.3 [5.8; 12.7] | 0.007 |
Prior PARPi, n (%): | 1.000 | ||
No | 32 (100.0%) | 36 (97.3%) | |
maybe | 0 (0.0%) | 1 (2.7%) | |
Months from finishing Pt pre-PARPi to Pt pre-PARPi progression, Median (PFI) [IQR] | 13.6 [11.2; 22.2] | 10.3 [7.4; 14.9] | 0.010 |
Months from PARPi initiation to Pt pre-PARPi progression, Median (PFI-PARPi) [IQR] | 12.2 [9.1; 20.0] | 8.3 [5.7; 12.7] | 0.006 |
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Romeo, M.; Gil-Martín, M.; Gaba, L.; Teruel, I.; Taus, Á.; Fina, C.; Masvidal, M.; Murata, P.; Fernández-Plana, J.; Martínez, A.; et al. Multicenter Real-World Data of Subsequent Chemotherapy after Progression to PARP Inhibitors in a Maintenance Relapse Setting. Cancers 2022, 14, 4414. https://doi.org/10.3390/cancers14184414
Romeo M, Gil-Martín M, Gaba L, Teruel I, Taus Á, Fina C, Masvidal M, Murata P, Fernández-Plana J, Martínez A, et al. Multicenter Real-World Data of Subsequent Chemotherapy after Progression to PARP Inhibitors in a Maintenance Relapse Setting. Cancers. 2022; 14(18):4414. https://doi.org/10.3390/cancers14184414
Chicago/Turabian StyleRomeo, Margarita, Marta Gil-Martín, Lydia Gaba, Iris Teruel, Álvaro Taus, Claudia Fina, Maria Masvidal, Paola Murata, Julen Fernández-Plana, Alejandro Martínez, and et al. 2022. "Multicenter Real-World Data of Subsequent Chemotherapy after Progression to PARP Inhibitors in a Maintenance Relapse Setting" Cancers 14, no. 18: 4414. https://doi.org/10.3390/cancers14184414
APA StyleRomeo, M., Gil-Martín, M., Gaba, L., Teruel, I., Taus, Á., Fina, C., Masvidal, M., Murata, P., Fernández-Plana, J., Martínez, A., Pérez, C., García, Y., Rodriguez, V., Cros, S., Parera, M., Zanui, M., Catot, S., Pardo, B., Plaja, A., ... Barretina-Ginesta, M. P. (2022). Multicenter Real-World Data of Subsequent Chemotherapy after Progression to PARP Inhibitors in a Maintenance Relapse Setting. Cancers, 14(18), 4414. https://doi.org/10.3390/cancers14184414