| Literature DB >> 35860587 |
Adam Brufsky1, Xianchen Liu2, Benjamin Li2, Lynn McRoy2, Rachel M Layman3.
Abstract
Background: Cyclin-dependent kinase 4/6 inhibitors are a standard treatment for patients with hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) metastatic breast cancer (MBC). However, real-world data on effectiveness in patients with liver or lung metastatic disease is limited. This study compared outcomes of palbociclib plus letrozole versus letrozole alone in patients with HR+/HER2- MBC with lung or liver metastasis treated in routine clinical practice in the United States.Entities:
Keywords: HR+/HER2−; metastatic breast cancer; palbociclib; real-world data; visceral metastasis
Year: 2022 PMID: 35860587 PMCID: PMC9291245 DOI: 10.3389/fonc.2022.865292
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Patient demographic and clinical characteristics.
| Unadjusted | sIPTW | PSM | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Characteristic | Palbociclib + letrozole(n=330) | Letrozole(n=221) | Standardized difference | Palbociclib + letrozole(n=321) | Letrozole(n=269) | Standardized difference | Palbociclib + letrozole(n=194) | Letrozole(n=194) | Standardized difference |
| Age, y | |||||||||
| Mean (SD) | 65.7 (10.2) | 70.0 (10.6) | –0.410 | 67.0 (10.4) | 67.7 (11.5) | –0.063 | 66.7 (11.0) | 68.9 (10.6) | –0.201 |
| Median (IQR) | 66.0 (15.0) | 71.0 (18.0) | 67.0 (15.0) | 68.0 (17.0) | 67.0 (17.0) | 69.0 (17.0) | |||
| 18−49 | 24 (7.3) | 10 (4.5) | 0.117 | 20 (6.3) | 14 (5.1) | 0.049 | 16 (8.2) | 10 (5.2) | 0.124 |
| 50−64 | 121 (36.7) | 56 (25.3) | 0.247 | 106 (32.9) | 90 (33.4) | –0.010 | 60 (30.9) | 54 (27.8) | 0.068 |
| 65−74 | 115 (34.8) | 64 (29.0) | 0.127 | 106 (33.0) | 85 (31.7) | 0.027 | 63 (32.5) | 61 (31.4) | 0.022 |
| 75+ | 70 (21.2) | 91 (41.2) | –0.441 | 89 (27.8) | 80 (29.7) | –0.042 | 55 (28.4) | 69 (35.6) | –0.155 |
| Race/ethnicity* | |||||||||
| White | 219 (66.4) | 146 (66.1) | 0.006 | 212 (66.0) | 178 (66.2) | –0.003 | 106 (54.6) | 131 (67.5) | –0.267 |
| Black | 20 (6.1) | 26 (11.8) | –0.201 | 21 (6.4) | 26 (9.7) | –0.122 | 20 (10.3) | 16 (8.2) | 0.071 |
| Asian | 3 (0.9) | 5 (2.3) | –0.109 | 3 (1.0) | 5 (1.9) | –0.080 | 3 (1.5) | 4 (2.1) | –0.039 |
| Hispanic or Latino | 9 (2.7) | 3 (1.4) | 0.097 | 8 (2.5) | 6 (2.0) | 0.032 | 4 (2.1) | 3 (1.5) | 0.039 |
| Other/Unknown | 79 (23.9) | 41 (18.6) | 0.132 | 77 (24.0) | 54 (20.1) | 0.095 | 61 (31.4) | 40 (20.6) | 0.249 |
| Practice type* | |||||||||
| Academic | 17 (5.2) | 8 (3.6) | 0.075 | 15 (4.8) | 10 (3.7) | 0.052 | 8 (4.1) | 7 (3.6) | 0.027 |
| Community | 313 (94.8) | 213 (96.4) | 305 (95.2) | 259 (96.3) | 186 (95.9) | 187 (96.4) | |||
| Insurance type | |||||||||
| Commercial Health Plan + any other | 69 (20.9) | 55 (24.9) | –0.095 | 73 (22.6) | 61 (22.7) | –0.001 | 32 (24.1) | 34 (25.6) | –0.035 |
| Commercial Health | 85 (25.8) | 37 (16.7) | 0.222 | 77 (23.7) | 50 (18.5) | 0.127 | 31 (23.3) | 26 (19.5) | 0.092 |
| Medicare | 12 (3.6) | 13 (5.9) | –0.106 | 16 (5.0) | 13 (4.9) | 0.005 | 5 (3.8) | 4 (3.0) | 0.042 |
| Medicaid | 4 (1.2) | 2 (0.9) | 0.030 | 4 (1.2) | 3 (1.1) | 0.017 | 1 (0.8) | 1 (0.8) | 0 |
| Other payer type | 160 (48.5) | 114 (51.6) | –0.062 | 153 (47.4) | 142 (52.8) | –0.109 | 64 (48.1) | 68 (51.1) | –0.060 |
| Disease stage at diagnosis* | |||||||||
| I | 38 (11.5) | 22 (10.0) | 0.050 | 38 (11.7) | 24 (8.8) | 0.097 | 25 (12.9) | 21 (10.8) | 0.064 |
| II | 86 (26.1) | 42 (19.0) | 0.170 | 79 (24.8) | 56 (20.9) | 0.093 | 37 (19.1) | 39 (20.1) | –0.026 |
| III | 42 (12.7) | 26 (11.8) | 0.029 | 40 (12.4) | 34 (12.6) | –0.005 | 27 (13.9) | 23 (11.9) | 0.062 |
| IV | 122 (37.0) | 90 (40.7) | –0.077 | 118 (36.7) | 112 (41.6) | –0.102 | 70 (31.6) | 78 (40.2) | –0.085 |
| Not documented | 42 (12.7) | 41 (18.6) | –0.161 | 46 (14.4) | 43 (16.0) | –0.047 | 35 (18.0) | 33 (17.0) | 0.027 |
| ECOG performance status* | |||||||||
| 0 | 126 (38.2) | 54 (24.4) | 0.300 | 105 (32.8) | 89 (33.1) | –0.007 | 57 (29.4) | 54 (27.8) | 0.034 |
| 1 | 70 (21.2) | 45 (20.4) | 0.021 | 68 (21.2) | 55 (20.6) | 0.015 | 44 (22.7) | 41 (21.1) | 0.037 |
| 2, 3, or 4 | 18 (5.5) | 34 (15.4) | –0.329 | 25 (7.9) | 30 (11.3) | –0.113 | 18 (9.3) | 22 (11.3) | –0.068 |
| Not documented | 116 (35.2) | 88 (39.8) | –0.097 | 122 (38.1) | 94 (35.0) | 0.064 | 75 (38.7) | 77 (39.7) | –0.021 |
| Brain metastases | 14 (4.2) | 14 (6.3) | –0.094 | 13 (4.1) | 22 (8.2) | –0.170 | 10 (5.2) | 14 (7.2) | –0.086 |
| Time from initial diagnosis to metastatic diagnosis,* y | |||||||||
|
| 122 (37.0) | 90 (40.7) | –0.077 | 118 (36.7) | 112 (41.6) | –0.102 | 70 (36.1) | 78 (40.2) | –0.085 |
| ≤1 | 7 (2.1) | 4 (1.8) | 0.022 | 7 (2.0) | 6 (2.1) | –0.002 | 4 (2.1) | 4 (2.1) | 0 |
| >1–≤5 | 47 (14.2) | 25 (11.3) | 0.088 | 47 (14.7) | 30 (11.3) | 0.101 | 24 (12.4) | 23 (11.9) | 0.016 |
| >5 | 154 (46.7) | 102 (46.2) | 0.010 | 149 (46.5) | 121 (45.0) | 0.032 | 96 (49.5) | 89 (45.9) | 0.072 |
| Number of metastatic sites*,† | |||||||||
| 1 | 66 (20.0) | 51 (23.1) | –0.075 | 74 (23.0) | 46 (17.1) | 0.147 | 43 (22.2) | 37 (19.1) | 0.077 |
| 2 | 119 (36.1) | 88 (39.8) | –0.078 | 117 (36.6) | 107 (39.8) | –0.067 | 82 (42.3) | 81 (41.8) | 0.010 |
| 3 | 91 (27.6) | 56 (25.3) | 0.051 | 83 (25.7) | 76 (28.4) | –0.061 | 43 (22.2) | 52 (26.8) | –0.108 |
| 4 | 36 (10.9) | 17 (7.7) | 0.111 | 30 (9.5) | 25 (9.4) | 0.005 | 17 (8.8) | 15 (7.7) | 0.038 |
| ≥5 | 18 (5.5) | 9 (4.1) | 0.065 | 17 (5.2) | 14 (5.2) | –0.003 | 9 (4.6) | 9 (4.6) | 0 |
| Duration of follow-up, mo | |||||||||
| Mean (SD) | 23.6 (12.3) | 21.9 (14.3) | 0.124 | 23.5 (12.3) | 21.6 (15.7) | 0.133 | 23.5 (12.4) | 21.5 (14.5) | 0.145 |
| Median (IQR) | 22.6 (17.3) | 22.1 (21.5) | 22.6 (17.7) | 22.1 (21.2) | 22.3 (17.7) | 20.6 (22.6) | |||
All data are n (%) unless otherwise noted.
The balance in prognostic baseline characteristics was determined using a standardized difference approach, with a standardized difference of ≥0.10, considered indicative of practical significance (19). The total patient population for the different subgroups varied owing to the use of sIPTW. Therefore, the total number for each subgroup may not have equaled the number in the treatment arm (owing to rounding errors or differences in categorization). Percentages were based on the number of patients reported within each subgroup.
ECOG, Eastern Cooperative Oncology Group; IQR, interquartile range; PSM, propensity score matching; sIPTW, stabilized inverse probability treatment weighting.
*Variable used in the propensity score matching model; de novo vs not de novo were used as categories for initial diagnosis to metastatic diagnosis.
†Multiple metastasis at the same site were counted as 1 site.
Figure 1Kaplan-Meier curves of real-world progression-free survival in patients with visceral (lung and/or liver) metastasis. sIPTW analysis (A) and PSM analysis (B); number of patients at risk are shown. LET, letrozole; PAL, palbociclib; PSM, propensity score matching; rwPFS, real-world progression-free survival; sIPTW, stabilized inverse probability treatment weighting.
Figure 2Kaplan-Meier curves of overall survival in patients with visceral (lung and/or liver) metastasis. sIPTW analysis (A) and PSM analysis (B); number of patients at risk are shown. LET, letrozole; NR, not reached; OS, overall survival; PAL, palbociclib; PSM, propensity score matching; sIPTW, stabilized inverse probability treatment weighting.
Figure 3Kaplan-Meier curves of real-world progression-free survival and overall survival in patients with lung metastasis. Analysis of rwPFS (A) and OS (B) adjusted for demographic and clinical variables; number of patients at risk are shown. LET, letrozole; NR, not reached; OS, overall survival; PAL, palbociclib; rwPFS, real-world progression-free survival. *Hazard ratios were estimated by multivariate Cox regression models adjusted for baseline demographic and clinical variables.
Figure 4Kaplan-Meier curves of real-world progression-free survival and overall survival in patients with liver metastasis. Analysis of rwPFS (A) and OS (B) adjusted for demographic and clinical variables; number of patients at risk are shown. LET, letrozole; OS, overall survival; PAL, palbociclib; rwPFS, real-world progression-free survival. *Hazard ratios were estimated by multivariate Cox regression models adjusted for baseline demographic and clinical variables.
Subsequent second-line anticancer treatments and disease progression in the second-line treatment.
| Patients with liver metastasis | Patients with lung metastasis | |||
|---|---|---|---|---|
| Treatments, n (%) | Palbociclib + letrozole (n=123) | Letrozole (n=75) | Palbociclib + letrozole (n=257) | Letrozole (n=171) |
| First-line treatment only* | 49 (39.8) | 28 (37.3) | 125 (48.6) | 67 (39.1) |
| Any second-line treatment received† | 74 (60.2) | 47 (62.7) | 132 (51.4) | 104 (60.8) |
| CDK4/6 inhibitor | 22 (29.8) | 23 (48.9) | 48 (36.4) | 63 (60.6) |
| Chemotherapy | 26 (35.1) | 6 (12.8) | 37 (28.0) | 14 (13.5) |
| Endocrine therapy alone | 8 (10.8) | 14 (29.8) | 24 (18.2) | 20 (19.2) |
| Other anticancer treatment | 21 (28.4) | 7 (14.9) | 32 (24.2) | 15 (14.4) |
| Second-line disease progression | 37 (50.0) | 20 (42.6) | 69 (52.3) | 47 (45.2) |
CDK4/6=cyclin-dependent kinase 4/6.
*Includes patients who continued treatment, died, or were censored in the first-line setting.
†Patients could have received >1 category of second-line treatment.