Literature DB >> 32653295

Association of Extended Dosing Intervals or Delays in Pembrolizumab-based Regimens With Survival Outcomes in Advanced Non-small-cell Lung Cancer.

Kartik Sehgal1, Anushi Bulumulle2, Heather Brody2, Ritu R Gill3, Shravanti Macherla2, Aleksandra Qilleri4, Danielle C McDonald4, Cynthia R Cherry5, Meghan Shea4, Mark S Huberman4, Paul A VanderLaan6, Glen J Weiss4, Paul R Walker7, Daniel B Costa4, Deepa Rangachari8.   

Abstract

BACKGROUND: Besides modeling/simulation-based analysis, no post-approval studies have evaluated the optimal administration frequency of pembrolizumab in non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS: We performed a multicenter retrospective cohort study to evaluate the association between survival outcomes and treatment extensions/delays of pembrolizumab-based regimens in patients with advanced NSCLC. Those who had received at least 4 cycles in routine practice were divided into 2 groups: nonstandard (Non-Std, ≥ 2 cycles at intervals > 3 weeks + 3 days) and standard (Std, all cycles every 3 weeks or 1 cycle > 3 weeks + 3 days).
RESULTS: Among 150 patients, 92 (61%) were eligible for the study (Non-Std, 27; Std, 65). The reasons for patients with extensions/delays in the Non-Std group included: immune-related adverse events (irAEs) (33%), non-irAE-related medical issues (26%), and patient-physician preference (41%). The Non-Std group was more likely to have a higher programmed death-ligand 1 tumor proportion score, a higher number of treatment cycles, and pembrolizumab monotherapy. Univariate and 6-month landmark analyses showed longer median overall survival and progression-free survival in the Non-Std group compared with the Std group. After multivariable adjustment for confounding factors, there was no significant difference in overall survival (hazard ratio, 1.2; 95% confidence interval, 0.3-4.8; P = .824) or progression-free survival (hazard ratio, 2.6; 95% confidence interval, 0.7-9.6; P = .157) between the 2 groups.
CONCLUSION: Our study shows that a significant proportion of patients with advanced NSCLC receive pembrolizumab-based regimens with extended intervals or delays in routine clinical practice and with similar outcomes to those receiving treatment at label-specified 3-week intervals. Given the durability of benefit seen and the potential for cost reduction and decreased infusion frequency in these patients, this requires validation in prospective trials.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Extended-interval dosing; Immune-related adverse event; Patient-physician preference; Real-world outcomes; Treatment delays

Mesh:

Substances:

Year:  2020        PMID: 32653295      PMCID: PMC7273162          DOI: 10.1016/j.cllc.2020.05.028

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


Introduction

The updated results of the KEYNOTE-001 study have confirmed the revolutionary impact of the anti-programmed death-1 agent pembrolizumab on outcomes of patients with advanced non–small-cell lung cancer (NSCLC) whose tumors lack actionable oncogenic drivers.1, 2, 3 The widespread adoption of anti-programmed death-1 agents and durable responses seen in some patients have raised important questions regarding the optimal frequency of administration of these drugs, including the impact of treatment interruptions or discontinuations in routine clinical practice. Although immune-related adverse events (irAEs) have been associated with improved outcomes in NSCLC, , a retrospective study in Canada suggested lower overall survival (OS) in patients receiving interrupted treatments owing to irAEs. Additionally, the lowest and least frequent dose of pembrolizumab that may permit maximal efficacy in advanced NSCLC is still unknown. , Moreover, the financial and societal impacts of access to this durably efficacious therapy for this growing population necessitates thoughtful consideration of resource utilization and the patient care experience so as to afford an optimized and sustainable care paradigm for all those who may benefit. , , Recent efforts to develop less frequent and more flexible dosing regimens have included the phase IIIb/IV CheckMate 384 study of nivolumab in advanced NSCLC, which confirmed similar efficacy and safety outcomes with 480 mg every 4 weeks compared with 240 mg every 2 weeks, as predicted by exposure-response evaluations. , A modeling/simulation study, based on the established pharmacokinetic model of pembrolizumab from early developmental trials, predicted that a dose of 400 mg every 6 weeks would be equally as effective as the standard United States Food and Drug Administration (FDA)-approved dose of 200 mg every 3 weeks. However, clinical evaluations of these alternate dosing schemas have not yet been performed. We conducted a multicenter retrospective study to evaluate survival outcomes of patients with advanced NSCLC who were treated with pembrolizumab-based regimens at standard versus extended intervals in routine clinical practice.

Patients and Methods

In this retrospective cohort study, medical charts from 2 tertiary academic cancer centers, Beth Israel Deaconess Medical Center (BIDMC)/Harvard Medical School and Vidant Medical Center (VMC)/Brody School of Medicine at East Carolina University, were reviewed in accordance with research protocols approved by the respective institutional review boards. Patients with advanced NSCLC (defined as patients with stage IV or recurrent advanced disease, who were not candidates for curative intent treatment) who received pembrolizumab-based regimens (defined as first-time patients who were treated with pembrolizumab in the palliative care setting, either as monotherapy or along with chemotherapy) for at least 4 cycles in routine practice outside clinical trials at either BIDMC or VMC between February 1, 2016 and April 5, 2019 were eligible. Those who started their first pembrolizumab-based regimen outside these 2 centers were excluded from the study. Patients eligible for the study were divided into 2 groups: (1) the nonstandard group (Non-Std: those receiving pembrolizumab 200 mg for ≥ 2 cycles at intervals > 3 weeks + 3 days for any reason), and (2) the standard group (Std: either all treatment cycles at FDA-approved dose interval or up to 1 cycle at interval > 3 weeks + 3 days for any reason). The objective of this study was to evaluate if patients with advanced NSCLC belonging to the Non-Std group had worse OS or progression-free survival (PFS) compared with the Std group. Patient data was collected on demographics, clinicopathologic characteristics, treatment regimen details, and irAEs. Patient characteristics such as age and Eastern Cooperative Oncology Group performance status, survival time, and duration of response were calculated from the start of first pembrolizumab-based treatment, until progression or switch to alternative/additional therapy. Tumor molecular profile and mutational burden were evaluated in these patients by different multiplex next-generation sequencing platforms as well as polymerase chain reaction and fluorescence in-situ hybridization for individual mutations/rearrangements. Disease response was evaluated by thoracic radiologists using the immune Response Evaluation Criteria in Solid Tumors (iRECIST). Descriptive tables were generated, depicting proportions for categorical variables and median (with range) for noncategorical variables. The Fisher exact and Wilcoxon rank sum tests were used to calculate 2-sided P values for categorical and continuous outcomes, respectively. Kaplan-Meier survival curves and the log-rank test were employed for analysis of censored survival outcomes. Six-month landmark analysis was performed to account for immortal time bias. Univariate and multivariable regression to adjust for confounding variables were performed using Cox proportional hazards model. A Swimmer plot was generated to depict the duration of response from the first nonstandard cycle in the Non-Std group. A 2-sided P value < .05 was considered significant. Adjustments for multiple comparisons were not made owing to the exploratory nature of this analysis. Graph creation and statistical analysis were performed using Microsoft Excel and Stata/IC v15.1 software.

Results

Of 150 patient charts reviewed from both centers, 92 (61%) patients had received at least 4 cycles of pembrolizumab-based regimens and were eligible for the study (Figure 1 , which demonstrates distribution of screened patients, and Supplemental Table 1 [in the online version], which demonstrates characteristics of included and excluded patients). Twenty-seven (29%) patients were classified in the Non-Std group, whereas 65 (71%) belonged to the Std group. Among the Non-Std group patients, 16 had treatment delays owing to irAEs (9; 33%) or non–irAE-related medical issues (7; 26%) (see Supplemental Table 2 in the online version). Eleven (41%) patients opted to receive treatments at extended dosing intervals after a detailed discussion with their physicians. Table 1 summarizes the patient characteristics of the Non-Std and Std groups. Patients in the Std group were more likely to receive pembrolizumab along with chemotherapy (Non-Std: 29% vs. Std: 66%; P = .002) and have tumors with lower programmed death-ligand 1 tumor proportion score (P = .01). Patients in the Non-Std group were more likely to have a higher number of treatment cycles (Non-Std: 14 vs. Std: 6; P < .0001).
Figure 1

Distribution of Patients With Advanced NSCLC Screened in the Study

Abbreviations: IHC = Immunohistochemistry; irAE = immune-related adverse event; NSCLC = non–small-cell lung cancer; PD-L1 = programmed death-ligand 1; TPS = tumor proportion score.

Supplemental Table 1

Patient Characteristics of the Screened Population

Included Patients (N = 92)Excluded Patients (N = 58)
Clinico-pathologic characteristics
 Median age, y (range)64.5 (37-87)69 (33-87)
 Female gender44 (48)31 (53)
 Smoking status, ever84 (91)52 (90)
 ECOG PS
 0-175 (82)27 (47)
 ≥217 (18)28 (48)
 Not reported0 (0)3 (5)
 Histology
 Non-squamous70 (76)45 (78)
 Squamous15 (16)9 (15)
 Poorly differentiated7 (8)4 (7)
 Driver mutation
 KRAS33 (36)19 (33)
 EGFR6 (7)3 (5)
 Others3 (3)3 (5)
 None identified40 (43)25 (43)
 Not assessed10 (11)8 (14)
 PD-L1 TPS, %
 <124 (26)8 (14)
 1-4917 (18)15 (26)
 ≥5042 (46)31 (53)
 Not assessed9 (10)4 (7)
 TMB, mut/mB
 <1020 (22)14 (24)
 ≥1030 (32)11 (19)
 Not assessed42 (46)33 (57)
Treatment characteristics
 Line of pembrolizumab
 First line65 (71)39 (67)
 ≥Second line27 (29)19 (33)
 Treatment
 Monotherapy41 (45)35 (60)
 With chemotherapy51 (55)22 (38)
 Not known0 (0)1 (2)
 Treatment center
 BIDMC47 (51)34 (59)
 VMC45 (49)24 (41)
 Median no. treatment cycles (range)8 (4-41)2 (1-3)
 Any grade irAE, yes54 (59)16 (28)
 ≥Grade 3 irAE, yes28 (30)12 (21)
 Systemic immunosuppression for irAE, yes41 (45)16 (28)

Abbreviations: BIDMC = Beth Israel Deaconess Medical Center; CR = complete response; ECOG = Eastern Cooperative Oncology Group; irAE = immune-related adverse events; PD-L1 = programmed death-ligand 1; PS = performance status; TMB = tumor mutational burden; TPS = tumor proportion score; VMC = Vidant Medical Center.

Data shown as n (%), unless specified.

Supplemental Table 2

Reasons for Delays or Extensions in the Nonstandard Group

Serial No.SubgroupReason(s)
1irAEArthritis, holidays
2irAESynovitis, patient-physician preference
3irAEHospitalization for adrenal insufficiency
4irAEFatigue
5irAEPneumonitis
6irAEPneumonitis, adrenal insufficiency, fatigue
7irAEToxic epidermal necrolysis
8irAEThyroiditis
9irAEPneumonitis, patient requested treatment break
10Non-irAE medical issuesHospitalization for pneumonia, missed restaging scans, insurance issues, family issues
11Non-irAE medical issuesMissed visits owing to depression, transportation issues
12Non-irAE medical issuesHospitalization for postoperative wound infection
13Non-irAE medical issuesPneumonia, travel plans, holidays, switched treatment to every 6 weeks after completing 2 years
14Non-irAE medical issuesPneumonia, Gastrointestinal issues, travel plans
15Non-irAE medical issuesOpen draining chest wall wound, holidays
16Non-irAE medical issuesRespiratory symptoms (not pneumonitis), hospitalization for atrial fibrillation with rapid ventricular rhythm
17PreferencePatient-physician preference
18PreferencePatient-physician preference
19PreferencePatient-physician preference
20PreferencePatient-physician preference, insurance issues
21PreferencePatient-physician preference, travel plans
22PreferencePatient-physician preference, death in family, travel plans
23PreferencePatient-physician preference, travel plans
24PreferencePatient-physician preference, travel plans, scheduling issues owing to preference to see primary oncologist only
25PreferencePatient-physician preference, holidays
26PreferencePatient-physician preference, patient cancelled multiple appointments
27PreferencePatient-physician preference

Abbreviation: irAE = Immune-related adverse events.

Table 1

Patient Characteristics in the Nonstandard Versus Standard Groups

All Patients (N = 92)Standard Group (N = 65)Nonstandard Group (N = 27)
Clinico-pathologic characteristics
 Median age, y (range)64.5 (37-87)64 (49-87)66 (37-87)
 Female gender44 (48)31 (48)13 (48)
 Smoking status, ever84 (91)58 (89)26 (96)
 ECOG PS
 0-175 (82)54 (83)21 (78)
 ≥ 217 (18)11 (17)6 (22)
 Histology
 Non-squamous70 (76)49 (75)21 (78)
 Squamous15 (16)11 (17)4 (15)
 Poorly differentiated7 (8)5 (8)2 (7)
 Driver mutation
 KRAS33 (36)26 (40)7 (26)
 EGFR6 (7)3 (5)3 (11)
 Others3 (3)2 (3)1 (4)
 None identified40 (43)27 (41)13 (48)
 Not assessed10 (11)7 (11)3 (11)
 PD-L1 TPS, %
 <124 (26)22 (34)2 (7)
 1-4917 (18)9 (14)8 (30)
 ≥5042 (46)28 (43)14 (52)
 Not assessed9 (10)6 (9)3 (11)
 TMB, mut/mB
 <1020 (22)16 (25)4 (15)
 ≥1030 (32)19 (29)11 (41)
 Not assessed42 (46)30 (46)12 (44)
Treatment characteristics
 Line of pembrolizumab
 First line65 (71)50 (77)15 (56)
 ≥Second line27 (29)15 (23)12 (44)
 Treatment
 Monotherapy41 (45)22 (34)19 (71)
 With chemotherapy51 (55)43 (66)8 (29)
 Treatment center
 BIDMC47 (51)29 (45)18 (67)
 VMC45 (49)36 (55)9 (33)
 Median no. of treatment cycles (range)8 (4-41)6 (4-20)14 (6-41)
 Best response
 Progression7 (8)6 (9)1 (4)
 Clinical benefit83 (90)57 (88)26 (96)
 CR15 (16)12 (19)3 (11)
 PR40 (44)25 (38)15 (56)
 SD28 (30)20 (31)8 (30)
 Not available2 (2)2 (3)-
 Any grade irAE, yes54 (59)35 (54)19 (70)
 ≥Grade 3 irAE, yes28 (30)21 (32)7 (26)
 Systemic immunosuppression, yes41 (45)29 (45)12 (44)

Abbreviations: BIDMC = Beth Israel Deaconess Medical Center; CR = complete response; ECOG = Eastern Cooperative Oncology Group; irAE = immune-related adverse events; PR = partial response; PS = performance status; SD = stable disease; TMB = tumor mutational burden; TPS = tumor proportion score; VMC = Vidant Medical Center.

Data are shown as n (%), unless specified.

Distribution of Patients With Advanced NSCLC Screened in the Study Abbreviations: IHC = Immunohistochemistry; irAE = immune-related adverse event; NSCLC = non–small-cell lung cancer; PD-L1 = programmed death-ligand 1; TPS = tumor proportion score. Patient Characteristics in the Nonstandard Versus Standard Groups Abbreviations: BIDMC = Beth Israel Deaconess Medical Center; CR = complete response; ECOG = Eastern Cooperative Oncology Group; irAE = immune-related adverse events; PR = partial response; PS = performance status; SD = stable disease; TMB = tumor mutational burden; TPS = tumor proportion score; VMC = Vidant Medical Center. Data are shown as n (%), unless specified. The median OS was not reached (NR) in the Non-Std group and was significantly longer compared with the Std group by univariate analysis (Std: 15.4 months; 95% confidence interval [CI], 9.0 months to NR vs. Non-Std: NR; 95% CI, NR) (Figure 2A , Supplemental Table 3 [in the online version]). The median PFS was also significantly longer in the Non-Std group compared with the Std group by univariate analysis (Std: 7.0 months; 95% CI, 5.1-8.8 months vs. Non-Std: 23.3 months; 95% CI, 14.6 months to NR) (Figure 2B, Supplementa Table 4 [in the online version]). Six-month landmark analyses continued to show significant differences in both OS (Std: 34.9 months; 95% CI, 15.4 months to NR vs. Non-Std: NR; 95% CI, NR) and PFS (Std: 11.8 months; 95% CI, 8.8 months to NR vs. Non-Std: NR; 95% CI, 14.6 months to NR) between the 2 groups (Figure 2C-D). However, after adjustment with multivariable regression (stratified by immune-related adverse events owing to its time-variant nature), no significant differences were seen in OS (hazard ratio [HR] for death, 1.2; 95% CI, 0.3-4.8) or PFS (HR for disease progression or death, 2.6; 95% CI, 0.7-9.6) between the Non-Std and Std groups (Tables 2 and 3 ). Swimmers’ plots for patients belonging to the Non-Std group showed that most patients received their first nonstandard cycle within 6 months of start of therapy, with most having sustained responses (Figure 3 ). Univariate analyses of OS and PFS by the 3 predominant indications for nonstandard dosing in the Non-Std group compared with the Std group showed statistically significant differences favoring the Non-Std subgroups — except for OS relating to the patient-physician preference (see Supplemental Figure 1 in the online version).
Figure 2

Univariate Kaplan-Meier Survival Curves in Patients With Advanced NSCLC Belonging to Nonstandard Versus Standard Groups for Overall Survival (A), Progression-free Survival (B), 6-month Landmark Overall Survival (C), and 6-month Landmark Progression-free Survival (D)

Abbreviations: CI = Confidence interval; mo = months; Non-Std = nonstandard; NR = not reached; NSCLC = non–small-cell lung cancer; Std = standard.

Supplemental Table 3

Univariate Analysis of Overall Survival by Cox Proportional Hazards Regression Model

HR for Death (95% CI)P
Standard vs. nonstandard group6.9 (2.1-22.9).002
Age (years)1.0 (0.9-1.1).060
Never vs. current/former smoker1.5 (0.6-4.0).85
ECOG PS ≥ 2 vs. 0-11.8 (0.8-3.9).175
<50% vs. ≥50% PD-L1 TPS1.4 (0.7-2.9).90
Later vs. first line of therapy0.5 (0.2-1.3).167
Pembrolizumab alone vs. along with chemotherapy1.0 (0.5-2.1).944
No. of treatment cycles0.8 (0.7-0.9)<.001
Absence vs. presence of any grade irAE2.2 (1.1-4.5).030
VMC vs. BIDMC0.8 (0.4-1.7).615

Abbreviations: BIDMC = Beth Israel Deaconess Medical Center; CI = confidence interval; ECOG = Eastern Cooperative Oncology Group; HR = hazard ratio; irAE = immune-related adverse events; PD-L1 = programmed death-ligand 1; PS = performance status; TPS = tumor proportion score; VMC = Vidant Medical Center.

Bold values are significant.

Supplemental Table 4

Univariate Analysis of Progression-free Survival by Cox Proportional Hazards Regression Model

HR for Disease Progression or Death (95% CI)P
Standard vs. nonstandard group8.5 (3.2-22.4)<.001
Age, y1.0 (0.9-1.0).411
Never vs. current/former smoker1.9 (0.8-4.7).131
ECOG PS ≥ 2 vs. 0-10.9 (0.6-1.6).964
<50% vs. ≥50% PD-L1 TPS1.2 (0.7-2.3).494
Later vs. first line of therapy0.6 (0.3-1.3).190
Pembrolizumab alone vs. along with chemotherapy0.8 (0.4-1.5).490
No. treatment cycles0.7 (0.7-0.8)<.001
Absence vs. presence of any grade irAE1.5 (0.8-2.8).150
VMC vs. BIDMC0.7 (0.4-1.3).242

Abbreviations: BIDMC = Beth Israel Deaconess Medical Center; CI = confidence interval; ECOG = Eastern Cooperative Oncology Group; HR = hazard ratio; irAE = immune-related adverse events; PD-L1 = programmed death-ligand 1; PS = performance status; TPS = tumor proportion score; VMC = Vidant Medical Center.

Bold values are significant.

Table 2

Multivariable Adjustment for Confounding Factors for Overall Survival by Cox Proportional Hazards Regression Model Stratified by Immune-related Adverse Events

HR for Death (95% CI)P
Standard vs. nonstandard group1.2 (0.3-4.8).824
ECOG PS ≥ 2 vs. 0-12.4 (0.9-5.9).066
Pembrolizumab alone vs. along with chemotherapy1.4 (0.6-3.3).446
< 50% vs. ≥ 50% PD-L1 TPS0.8 (0.3-1.9).591
No. treatment cycles0.8 (0.6-0.9).001

Abbreviations: CI = Confidence interval; ECOG = Eastern Cooperative Oncology Group; HR = hazard ratio; PD-L1 = programmed death-ligand 1; PS = performance status; TPS = tumor proportion score.

Bold value is significant.

Table 3

Multivariable Adjustment for Confounding Factors for Progression-free Survival by Cox Proportional Hazards Regression Model Stratified by Immune-related Adverse Events

HR for Disease Progression or Death (95% CI)P
Standard vs. nonstandard group2.6 (0.7-9.6).157
Never vs. current/former smoker4.2 (1.6-11.3).004
Pembrolizumab alone vs. along with chemotherapy2.7 (1.2-6.2).016
< 50% vs. ≥ 50% PD-L1 TPS0.9 (0.4-2.1).873
ECOG PS ≥ 2 vs. 0-10.8 (0.4-1.9).700
No. of treatment cycles0.7 (0.6-0.8)<.001

Abbreviations: CI = Confidence interval; ECOG = Eastern Cooperative Oncology Group; HR = hazard ratio; PD-L1 = programmed death-ligand 1; PS = performance status; TPS = tumor proportion score.

Bold values are significant.

Figure 3

Swimmer’s Plot Showing Time on Pembrolizumab Treatment After First Nonstandard (Extended or Delayed) Pembrolizumab Cycle in the Nonstandard Group With Patients Distributed by the Indication Subgroups

Abbreviation: irAE = Immune-related adverse event.

Supplemental Figure 1

Univariate Survival Curves in Patients With Advanced NSCLC Belonging to the Standard Group Versus Subgroups of the Nonstandard Group for Overall Survival (A) and Progression-free Survival (B)

Abbreviations: CI = Confidence interval; irAE = immune-related adverse event; NR = not reached; NSCLC = non–small-cell lung cancer; Std = standard.

Univariate Kaplan-Meier Survival Curves in Patients With Advanced NSCLC Belonging to Nonstandard Versus Standard Groups for Overall Survival (A), Progression-free Survival (B), 6-month Landmark Overall Survival (C), and 6-month Landmark Progression-free Survival (D) Abbreviations: CI = Confidence interval; mo = months; Non-Std = nonstandard; NR = not reached; NSCLC = non–small-cell lung cancer; Std = standard. Multivariable Adjustment for Confounding Factors for Overall Survival by Cox Proportional Hazards Regression Model Stratified by Immune-related Adverse Events Abbreviations: CI = Confidence interval; ECOG = Eastern Cooperative Oncology Group; HR = hazard ratio; PD-L1 = programmed death-ligand 1; PS = performance status; TPS = tumor proportion score. Bold value is significant. Multivariable Adjustment for Confounding Factors for Progression-free Survival by Cox Proportional Hazards Regression Model Stratified by Immune-related Adverse Events Abbreviations: CI = Confidence interval; ECOG = Eastern Cooperative Oncology Group; HR = hazard ratio; PD-L1 = programmed death-ligand 1; PS = performance status; TPS = tumor proportion score. Bold values are significant. Swimmer’s Plot Showing Time on Pembrolizumab Treatment After First Nonstandard (Extended or Delayed) Pembrolizumab Cycle in the Nonstandard Group With Patients Distributed by the Indication Subgroups Abbreviation: irAE = Immune-related adverse event.

Discussion

We report here the real-world outcomes of patients with advanced NSCLC receiving pembrolizumab-based regimens with extended intervals or treatment delays owing to indications commonly encountered in routine clinical practice: irAEs, treatment-unrelated medical issues, and/or individual care preferences. Within the limitations discussed below, these patients had comparable outcomes with those who either received all (or up to 1 delayed cycle of) pembrolizumab at the FDA-approved label dosage of 200 mg every 3 weeks. We acknowledge that our results are hypothesis-generating only, but relevant in an arena where no other well-vetted data exists. Most early pharmacokinetic and pharmacodynamic studies from phase I clinical trials of pembrolizumab evaluated doses between 2 and 10 mg/kg every 2 to 3 weeks. , 15, 16, 17 These were the basis of a modeling/simulation study that evaluated the exposure-response relationship with extended pembrolizumab dosing interval of 6 weeks, albeit with a higher dose of 400 mg; this dosing schema was approved by the European Commission and recently by the FDA. , Whether extending pembrolizumab dosing intervals while keeping the dose at 200 mg will lead to the same predicted efficacy and safety has not been studied yet. Our data provides rationale for further evaluation of extended dosing intervals of pembrolizumab, particularly in patients with disease response or stabilization after the first 4 treatment cycles. This may be a more fiscally and logistically viable model, while improving flexibility and patient experience. Recent pharmacoeconomic analyses comparing alternative dosing strategies of pembrolizumab (including weight-based dosing) to FDA-approved labels have estimated major cost savings for the health system with a personalized approach. , Randomized non-inferiority clinical trials designed with Bayesian methods would be the gold-standard for evaluating these extended dosing regimens in an effective and cost-efficient manner. , 22, 23, 24 Alternatively, therapeutic drug monitoring for personalized dosing — as commonly used for antibiotics and immunosuppressive agents — to achieve plasma or serum drug concentrations within a known therapeutic range is another potential strategy that can be employed in prospective studies to minimize financial toxicity from drug and pharmacy costs in this growing population. , It would also be prudent to take into account the time-dependent reduction in clearance of immune checkpoint inhibitors in these studies. , Limitations of this study include retrospective analysis, small sample size, confounding by indication, exclusion of patients who did not receive at least 4 pembrolizumab-based treatment cycles, and inclusion of patients treated only at tertiary academic cancer centers. These results are not applicable to patients whose disease progresses earlier in the treatment course and those being treated in other practice settings. Even though we employed a 6-month landmark survival analysis and multivariable regression to account for the guaranteed time bias and confounding variables, respectively, these biases persist. These findings require vetting in a large prospective manner. Moreover, it is not possible to draw any definitive conclusions when comparing the 3 predominant subgroups of the Non-Std group to the Std group owing to the small sample sizes. Tumor mutation burden was not included in the final adjusted model, as it was available for only approximately 50% of the patients and was not measured with a uniform assay.

Conclusions

To the best of our knowledge, this is the first study to describe outcomes of patients with advanced NSCLC receiving pembrolizumab-based regimens at extended intervals owing to real-world situations commonly faced in routine clinical practice and unprecedented circumstances such as the COVID-19 pandemic. Within the limitations described above, our study provides rationale for prospectively evaluating the administration of the lowest and least frequent efficacious dose of pembrolizumab, particularly for patients with demonstrated disease stability or response for the first 3 to 6 months.

Clinical Practice Points

The most cost-effective administration frequency of pembrolizumab in advanced NSCLC has not been evaluated in clinical trials. Based on a modeling/simulation study, the dosing schedule of pembrolizumab at 400 mg every 6 weeks has been approved by the European Commission and the FDA. In this multicenter retrospective cohort study, we found that a significant proportion of patients with advanced NSCLC receive pembrolizumab-based regimens with extended intervals or delays in routine clinical practice owing to irAEs, medical issues, and patient-physician preferences. We found that these treatment delays or extended dosing intervals were not associated with worse outcomes after multivariable adjustment for confounding factors in the patients with advanced NSCLC who had received at least 4 cycles of pembrolizumab-based regimens. To the best of our knowledge, this is the first study to describe outcomes of patients with advanced NSCLC receiving pembrolizumab-based regimens at extended intervals owing to real-world situations commonly faced in routine clinical practice. Prospective evaluation of alternative dosing strategies in randomized non-inferiority clinical trials, with attention to time-dependent reduction in clearance of pembrolizumab and potential incorporation of personalized dosing with therapeutic drug monitoring is warranted. Alternative dosing strategies may provide a more fiscally and logistically viable model, while improving flexibility and patient experience.

Disclosure

Dr Rangachari reports nonfinancial support (institutional research support) from Bristol-Myers Squibb, Novocure, and Abbvie/Stemcentrx, all outside the submitted work. Dr Costa reports personal fees (consulting fees and honoraria) and nonfinancial support (institutional research support) from Takeda/Millennium Pharmaceuticals, AstraZeneca, and Pfizer, as well as nonfinancial support (institutional research support) from Merck Sharp and Dohme Corporation, Merrimack Pharmaceuticals, Bristol-Myers Squibb, Clovis Oncology, Spectrum Pharmaceuticals and Tesaro, all outside the submitted work. Dr Walker reports personal fees from ownership interest in Circulogene; all outside the submitted work. Dr Weiss is an employee of Unum Therapeutics, outside of this work; reports personal fees from MiRanostics Consulting, Paradigm, Angiex, IBEX Medical Analytics, Spring Bank Pharmaceuticals, Pfizer, IDEA Pharma, GLG Council, Guidepoint Global, Ignyta, and Circulogene, all outside this work; has received travel reimbursement from Cambridge HealthTech Institute, GlaxoSmith Kline, and Tesaro; has ownership interest in MiRanostics Consulting, Unum Therapeutics, and Circulogene, all outside the submitted work; and has a patent for methods and kits to predict prognostic and therapeutic outcome in small-cell lung cancer issued, all outside the submitted work. Dr VanderLaan has received personal fees (consulting fees and honoraria) from Gala Therapeutics, Flatiron Health, Caris Life Sciences, and Foundation Medicine; all outside the submitted work. Dr Shea reports nonfinancial support (institutional research support) from Bristol-Meyers Squibb, Clovis Oncology, Pfizer, and Eli Lilly, all outside the submitted work. The remaining authors have stated that they have no conflicts of interest.
  23 in total

1.  Time Is Money: Optimizing the Scheduling of Nivolumab.

Authors:  Mark J Ratain; Daniel A Goldstein
Journal:  J Clin Oncol       Date:  2018-08-27       Impact factor: 44.544

2.  From Hope to Reality: Durable Overall Survival With Immune Checkpoint Inhibitors for Advanced Lung Cancer.

Authors:  Deepa Rangachari; Daniel B Costa
Journal:  J Clin Oncol       Date:  2019-06-02       Impact factor: 44.544

3.  Analysis of the Association Between Adverse Events and Outcome in Patients Receiving a Programmed Death Protein 1 or Programmed Death Ligand 1 Antibody.

Authors:  V Ellen Maher; Laura L Fernandes; Chana Weinstock; Shenghui Tang; Sundeep Agarwal; Michael Brave; Yang-Min Ning; Harpreet Singh; Daniel Suzman; James Xu; Kirsten B Goldberg; Rajeshwari Sridhara; Amna Ibrahim; Marc Theoret; Julia A Beaver; Richard Pazdur
Journal:  J Clin Oncol       Date:  2019-05-22       Impact factor: 44.544

4.  Optimal pembrolizumab dosing for non-small cell lung cancer: further studies still needed.

Authors:  Hai-Yan Tu; Qi Zhang; Yi-Long Wu
Journal:  J Thorac Dis       Date:  2017-12       Impact factor: 2.895

5.  Anti-programmed-death-receptor-1 treatment with pembrolizumab in ipilimumab-refractory advanced melanoma: a randomised dose-comparison cohort of a phase 1 trial.

Authors:  Caroline Robert; Antoni Ribas; Jedd D Wolchok; F Stephen Hodi; Omid Hamid; Richard Kefford; Jeffrey S Weber; Anthony M Joshua; Wen-Jen Hwu; Tara C Gangadhar; Amita Patnaik; Roxana Dronca; Hassane Zarour; Richard W Joseph; Peter Boasberg; Bartosz Chmielowski; Christine Mateus; Michael A Postow; Kevin Gergich; Jeroen Elassaiss-Schaap; Xiaoyun Nicole Li; Robert Iannone; Scot W Ebbinghaus; S Peter Kang; Adil Daud
Journal:  Lancet       Date:  2014-07-15       Impact factor: 79.321

6.  A Phamacoeconomic Analysis of Personalized Dosing vs Fixed Dosing of Pembrolizumab in Firstline PD-L1-Positive Non-Small Cell Lung Cancer.

Authors:  Daniel A Goldstein; Noa Gordon; Michal Davidescu; Moshe Leshno; Conor E Steuer; Nikita Patel; Salomon M Stemmer; Alona Zer
Journal:  J Natl Cancer Inst       Date:  2017-11-01       Impact factor: 13.506

7.  Systematic evaluation of pembrolizumab dosing in patients with advanced non-small-cell lung cancer.

Authors:  M Chatterjee; D C Turner; E Felip; H Lena; F Cappuzzo; L Horn; E B Garon; R Hui; H-T Arkenau; M A Gubens; M D Hellmann; D Dong; C Li; K Mayawala; T Freshwater; M Ahamadi; J Stone; G M Lubiniecki; J Zhang; E Im; D P De Alwis; A G Kondic; Ø Fløtten
Journal:  Ann Oncol       Date:  2016-04-26       Impact factor: 32.976

8.  Assessment of nivolumab exposure and clinical safety of 480 mg every 4 weeks flat-dosing schedule in patients with cancer.

Authors:  G V Long; S S Tykodi; J G Schneider; C Garbe; G Gravis; M Rashford; S Agrawal; E Grigoryeva; A Bello; A Roy; L Rollin; X Zhao
Journal:  Ann Oncol       Date:  2018-11-01       Impact factor: 32.976

Review 9.  Immune Checkpoint Inhibitor Dosing: Can We Go Lower Without Compromising Clinical Efficacy?

Authors:  Alex Renner; Mauricio Burotto; Carlos Rojas
Journal:  J Glob Oncol       Date:  2019-07

10.  Economics of alternative dosing strategies for pembrolizumab and nivolumab at a single academic cancer center.

Authors:  Evan Hall; Jenny Zhang; Eun Jeong Kim; Grace Hwang; Gilbert Chu; Shailender Bhatia; Sunil Reddy
Journal:  Cancer Med       Date:  2020-01-28       Impact factor: 4.452

View more
  5 in total

Review 1.  When Less May Be Enough: Dose Selection Strategies for Immune Checkpoint Inhibitors Focusing on AntiPD-(L)1 Agents.

Authors:  Daniel V Araujo; Bruno Uchoa; Juan José Soto-Castillo; Larissa L Furlan; Marc Oliva
Journal:  Target Oncol       Date:  2022-06-10       Impact factor: 4.864

2.  Association of Performance Status With Survival in Patients With Advanced Non-Small Cell Lung Cancer Treated With Pembrolizumab Monotherapy.

Authors:  Kartik Sehgal; Ritu R Gill; Page Widick; Poorva Bindal; Danielle C McDonald; Meghan Shea; Deepa Rangachari; Daniel B Costa
Journal:  JAMA Netw Open       Date:  2021-02-01

Review 3.  Dosing Regimens of Immune Checkpoint Inhibitors: Attempts at Lower Dose, Less Frequency, Shorter Course.

Authors:  Mengjie Jiang; Yujie Hu; Gang Lin; Chao Chen
Journal:  Front Oncol       Date:  2022-06-20       Impact factor: 5.738

Review 4.  Is immunotherapy at reduced dose and radiotherapy for older patients with locally advanced non-small lung cancer feasible?-a narrative review by the international geriatric radiotherapy group.

Authors:  Vincent Vinh-Hung; Olena Gorobets; Andre Duerinkcx; Suresh Dutta; Eromosele Oboite; Joan Oboite; Ahmed Ali; Thandeka Mazibuko; Ulf Karlsson; Alexander Chi; David Lehrman; Omer Hashim Mohammed; Mohammad Mohammadianpanah; Gokoulakrichenane Loganadane; Natalia Migliore; Maria Vasileiou; Nam P Nguyen; Huan Giap
Journal:  Transl Cancer Res       Date:  2022-09       Impact factor: 0.496

5.  A Minimal PKPD Interaction Model for Evaluating Synergy Effects of Combined NSCLC Therapies.

Authors:  Clara Mihaela Ionescu; Maria Ghita; Dana Copot; Eric Derom; Dirk Verellen
Journal:  J Clin Med       Date:  2020-06-12       Impact factor: 4.241

  5 in total

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