Literature DB >> 33500258

Real-world experience with elective discontinuation of PD-1 inhibitors at 1 year in patients with metastatic melanoma.

Rebecca Pokorny1, Jordan P McPherson1, Benjamin Haaland2, Kenneth F Grossmann3, Carolyn Luckett3, Benjamin Newell Voorhies4, Daniel S Sageser1, Jocelyn Wallentine3, Zachary Tolman1, Siwen Hu-Lieskovan3, Umang Swami5.   

Abstract

BACKGROUND: Randomized trials evaluating programmed cell death protein 1 (PD-1) inhibitors in metastatic melanoma either permitted treatment for 2 years (pembrolizumab) or more (nivolumab). The optimal duration of therapy is currently unknown due to limited data, and shorter therapies may be effective.
METHODS: Data of patients with metastatic cutaneous melanoma treated with single-agent PD-1 inhibitors at Huntsman Cancer Institute from January 1, 2015, to December 31, 2018, was reviewed to identify a continuous series of patients who made the joint decision with their provider to electively discontinue therapy at 1 year (>6 months and <18 months) in the setting of ongoing treatment response or disease stability. Patients were excluded if they received PD-1 inhibitors with other systemic therapy, had prior exposure to PD-1 therapy, or discontinued treatment due to disease progression or immune-related adverse event. Best objective response (BOR) per RECIST V.1.1 at treatment discontinuation, progression-free survival (PFS), and retreatment characteristics was analyzed.
RESULTS: Of 480 patients who received PD-1 inhibitors, 52 met the inclusion criteria. The median treatment duration from first to the last dose was 11.1 months (95% CI 10.5 to 11.4). BOR was complete response in 13 (25%), partial response in 28 (53.8%), and stable disease in 11 (21.2%) patients. After a median follow-up of 20.5 months (range 3-49.2) from treatment discontinuation, 39 (75%) patients remained without disease progression, while 13 (25%) had progression (median PFS 3.9 months; range 0.7-30.9). On multivariable analysis, younger age, history of brain metastasis, and higher lactate dehydrogenase at the time of anti-PD-1 discontinuation were associated with recurrence. Patients with recurrent melanoma were managed with localized treatment, anti-PD-1 therapies, and BRAF-MEK inhibitors. All patients except one were alive at data cutoff.
CONCLUSION: In this large real-world, observational cohort study, the majority of patients with metastatic melanoma after 1 year of anti-PD-1 therapy remained without progression on long-term follow-up. The risk of disease progression even in patients with residual disease on imaging was low. After prospective validation, elective PD-1 discontinuation at 1 year may reduce financial and immunotherapy-related toxicity without sacrificing outcomes. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  immunotherapy; melanoma

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Year:  2021        PMID: 33500258      PMCID: PMC7843310          DOI: 10.1136/jitc-2020-001781

Source DB:  PubMed          Journal:  J Immunother Cancer        ISSN: 2051-1426            Impact factor:   13.751


Introduction

Since 2011, the US Food and Drug Administration has approved more than 10 treatment regimens for the treatment of advanced melanoma.1 These include antibodies targeting the programmed cell death protein-1 (PD-1) pathway, cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), and inhibitors targeting BRAF mutations.2 The advent of these therapies has resulted in an improvement in overall survival (OS) as evidenced by a decrease in the overall mortality rate of patients with melanoma by 17.9% from 2013 to 2016.2 At present, two PD-1 inhibitors (pembrolizumab and nivolumab) are approved as single agents for the treatment of patients with metastatic melanoma.3–5 In randomized clinical trials, single-agent pembrolizumab and nivolumab have shown a median OS of 32.7–37.5 months.3–5 In the landmark clinical trials of PD-1 inhibitors in metastatic melanoma, the duration of pembrolizumab was limited to 2 years while nivolumab was allowed beyond 2 years.3–5 The optimal duration of anti-PD-1 therapies is currently unknown, and shorter courses may be as effective as prolonged courses for 2 or more years.6 7 In this study, we reviewed the clinical outcomes of patients who electively discontinued PD-1 inhibitors at 1 year at our institution.

Methods

After Institutional Review Board approval, data of patients treated at the Huntsman Cancer Institute from January 1, 2015, to December 31, 2018, were retrieved from the electronic medical record. Inclusion criteria included ≥18 years of age, a pathologically confirmed diagnosis of advanced cutaneous melanoma (unresectable stage III or stage IV), and treatment with single-agent anti-PD-1 therapy for 1 year (>6 months and <18 months). The decision to discontinue anti-PD-1 therapy at 1 year was based on the joint decision with the treating oncologist and the patient in the setting of ongoing treatment response or disease stability. Exclusion criteria included a diagnosis of ocular or mucosal melanoma, receipt of anti-PD-1 therapy in the adjuvant or neoadjuvant setting, receipt of anti-PD-1 therapy in combination with other systemic or injectable therapies (eg, talimogene laherparepvec and ipilimumab), any prior treatment with PD-1 inhibitors, treatment on a clinical trial, or discontinuation of anti-PD-1 therapy due to treatment-related toxicity or progression. Collected data included patient demographics, neutrophil-to-lymphocyte ratio (NLR), lactate dehydrogenase (LDH), prior lines of treatment, duration of treatment, mutation status, and retreatment characteristics. We collected efficacy data consisting of best objective response (BOR) per RECIST V.1.1 at the time of anti-PD-1 discontinuation, progression-free survival (PFS), and OS. Time to progression was computed from date of last PD-1 therapy to date of progression, subject to right censoring at last follow-up. Potential predictors of time to progression were screened via univariate Cox proportional hazards analyses. Potential predictors with p<0.05 in univariate analyses were assessed in a multivariable model, along with a preliminary assessment of the multivariable model’s ability to discriminate between earlier versus later or never progressing patients via concordance index.8 Evidence of interactions was assessed via Wald tests.

Results

Baseline characteristics

Overall, 480 patients received single-agent anti-PD-1 therapy, of which 52 met the inclusion criteria. Figure 1 presents the flow diagram of patient selection and table 1 presents a comprehensive list of baseline characteristics of patients meeting the inclusion criteria. Of the 52 patients, 38 (73.1%) were male and the median age at the start of treatment was 60 (range 19–83) years. Treatment consisted of pembrolizumab in 48 (92.3%) and nivolumab in 4 (7.7%) of the patients. Nineteen (36.5%) of the patients received prior treatment for metastatic melanoma (table 1) and 17 (32.7%) had a history of brain metastasis.
Figure 1

Flow diagram of patient selection. *Includes patients who received care at an outside facility or who were lost to follow-up. PD1, programmed cell death protein 1.

Table 1

Baseline patient characteristics and comparison of relapsed and non-relapsed patients

CharacteristicValueRelapsedNon-relapsedAll patients
No of patients*13 (25)39 (75)52 (100)
Age at treatment, yearsMedian (range)61 (29–77)59 (19–83)60 (19–83)
SexMale6 (46.2)32 (82.1)38 (73.1)
Female7 (53.8)7 (17.9)14 (26.9)
Race (Caucasian)Caucasian13 (100)39 (100)52 (100)
BMI (continuous), kg/m2Median (range)29.21 (19.77–37.88)29.21 (19.35–60.29)29.21 (19.35–60.29)
BMI, kg/m2Underweight0 (0)0 (0)0 (0)
Normal4 (30.8)9 (23.1)13 (25)
Overweight3 (23.1)11 (28.2)14 (26.9)
Obese6 (46.2)19 (48.7)25 (48.1)
Melanoma subtypeSuperficial spreading3 (23.1)10 (25.6)13 (25)
Lentigo maligna1 (7.7)3 (7.7)4 (7.7)
Nodular2 (15.4)4 (10.3)6 (11.5)
Desmoplastic/spindle cell1 (7.7)1 (2.6)2 (3.8)
Unknown6 (46.2)21 (53.8)27 (51.9)
Received prior treatmentYes2 (15.4)17 (43.6)19 (36.5)
No11 (84.6)22 (56.4)33 (63.5)
Prior treatment‡Ipilimumab1 (50)5 (17.2)6 (31.6)
BRAF±MEK inhibitors0 (0)6 (20.7)6 (31.6)
Chemotherapy0 (0)5 (17.2)5 (26.3)
Interferon/interleukin1 (50)8 (27.6)9 (47.4)
Vaccine/intratumoral injection0 (0)5 (17.2)5 (26.3)
LDH at baseline (U/L)<1 x ULN11 (84.6)33 (84.6)44 (84.6)
>1 x to <2 x ULN2 (15.4)4 (10.3)6 (11.5)
>2 x ULN0 (0)1 (2.6)1 (1.9)
Unknown0 (0)1 (2.6)1 (1.9)
Neutrophil count at treatmentMedian (range)5.43 (2.3–11.9)4 (2.2–7.2)4.21 (2.2–11.9)
Lymphocyte count at treatmentMedian (range)1.5 (0.9–2.27)1.5 (0.71–3.3)1.5 (0.71–3.3)
Neutrophil–lymphocyte ratioMedian (range)3.33 (1.53–13.22)2.54 (1.24–9)2.79 (1.24–13.22)
Eastern Cooperative Oncology Group Performance status at baseline09 (69.2)22 (56.4)31 (59.6)
12 (15.4)8 (20.5)10 (19.2)
21 (7.7)4 (10.3)5 (9.6)
30 (0)1 (2.6)1 (1.9)
Unknown1 (7.7)4 (10.3)5 (9.6)
Sites of metastatic diseaseBrain9 (69.2)8 (20.5)17 (32.7)
Bone2 (15.4)2 (5.1)4 (7.7)
Liver0 (0)9 (23.1)9 (17.3)
Lung6 (46.2)24 (61.5)30 (57.7)
Lymph nodes(s)3 (23.1)11 (28.2)14 (26.9)
Other site(s)§0 (0)14 (35.9)14 (26.9)
None (unresectable)0 (0)1 (2.6)1 (1.9)
Largest tumor size (cm)<13 (23.1)2 (5.1)5 (9.6)
>1 to <58 (61.5)23 (60)31 (59.6)
>5 to <100 (0)4 (10.3)4 (7.7)
>10 to <200 (0)2 (5.1)2 (3.8)
Unknown2 (15.4)8 (20.5)10 (19.2)
BRAF mutation statusWild type3 (23.1)20 (51.3)23 (44.2)
Mutant8 (61.5)17 (43.6)25 (48.1)
Unknown2 (15.4)2 (5.1)4 (7.7)
Other mutationsCDKN2A3 (23.1)8 (20.5)11 (21.2)
TP532 (15.4)7 (17.9)9 (17.3)
NRAS1 (7.7)5 (12.8)6 (11.5)
APC1 (7.7)3 (7.7)4 (7.7)
ERBB42 (15.4)2 (5.1)4 (7.7)
IDH10 (0)3 (7.7)3 (5.8)
RB11 (7.7)2 (5.1)3 (5.8)
EGFR0 (0)3 (7.7)3 (5.8)
TERT0 (0)2 (5.1)2 (3.8)
KDR0 (0)2 (5.1)2 (3.8)
PIK3CA0 (0)2 (5.1)2 (3.8)
KRAS0 (0)2 (5.1)2 (3.8)
PTEN1 (7.7)1 (2.6)2 (3.8)
ATM1 (7.7)1 (2.6)2 (3.8)
PDGFRA0 (0)1 (2.6)1 (1.9)
ERBB20 (0)1 (2.6)1 (1.9)
ALK0 (0)1 (2.6)1 (1.9)
CDH11 (7.7)0 (0)1 (1.9)
HNF1A0 (0)1 (2.6)1 (1.9)
FBXW70 (0)1 (2.6)1 (1.9)
CSF1R1 (7.7)0 (0)1 (1.9)
FGFR11 (7.7)0 (0)1 (1.9)
FGFR30 (0)1 (2.6)1 (1.9)
MET0 (0)1 (2.6)1 (1.9)
GNAQ0 (0)1 (2.6)1 (1.9)
HRAS0 (0)1 (2.6)1 (1.9)
First-line anti-PD-1Pembrolizumab13 (100)35 (89.7)48 (92.3)
Nivolumab0 (0)4 (10.3)4 (7.7)
Total number of cyclesMedian (range)17 (10–20)17 (9–19)17 (9–20)
Duration of treatment, monthsMedian (range)11 (6–13)11 (6–13)11 (6–13)

Data are no (%) unless otherwise indicated.

*Per cent is row total, otherwise % is column total.

†Underweight=BMI <18.5 kg/m2; normal weight=BMI 18.5–24.9 kg/m2; overweight=BMI 25.0–29.9 kg/m2; obese=BMI >30 kg/m2.

‡Per cent based on two patients (relapsed) and 17 (non-relapsed) who received prior treatment.

§Patients only counted once if they had one or multiple other sites of metastatic disease.

BMI, body mass index; LDH, lactate dehydrogenase; ULN, upper limit of normal.

Flow diagram of patient selection. *Includes patients who received care at an outside facility or who were lost to follow-up. PD1, programmed cell death protein 1. Baseline patient characteristics and comparison of relapsed and non-relapsed patients Data are no (%) unless otherwise indicated. *Per cent is row total, otherwise % is column total. †Underweight=BMI <18.5 kg/m2; normal weight=BMI 18.5–24.9 kg/m2; overweight=BMI 25.0–29.9 kg/m2; obese=BMI >30 kg/m2. ‡Per cent based on two patients (relapsed) and 17 (non-relapsed) who received prior treatment. §Patients only counted once if they had one or multiple other sites of metastatic disease. BMI, body mass index; LDH, lactate dehydrogenase; ULN, upper limit of normal.

Treatment and response

Median treatment duration from first to the last dose was 11.1 (95% CI 10.5 to 11.4) months. The BOR at treatment discontinuation was complete response (CR) in 13 (25%), partial response (PR) in 28 (53.8%), and stable disease (SD) in 11 (21.2%) patients. Figure 2 presents the Swimmer’s plot summarizing treatment duration, the best response at the time of discontinuation of treatment, and time to progression. After a median follow-up of 20.5 (range 3–49.2) months after treatment discontinuation, 39 (75%) patients remained without disease progression and the median PFS was not reached.
Figure 2

Swimmer’s plot demonstrating duration of treatment, best response, and time to progression.

Swimmer’s plot demonstrating duration of treatment, best response, and time to progression.

Potential predictors of melanoma recurrence

Univariate and multivariate analyses were conducted to evaluate potential predictors associated with melanoma recurrence. Analyzed variables included gender, age, history of brain metastasis, BOR, and NLR, and LDH prior to starting anti-PD-1 therapy and at the time of treatment discontinuation (last day of PD-1 therapy). Table 2 summarizes the univariate and multivariable results. Univariate analyses suggested that gender, age, history of brain metastasis at PD-1 initiation, and post-PD-1 LDH may be associated with time to progression after 12-month PD-1 discontinuation. In multivariable analysis, these associations were slightly more attenuated and uncertain. There remained a strong evidence that younger age (p=0.037), history of brain metastasis (p=0.009), and greater post-PD-1 LDH (p=0.032) were associated with earlier time to progression. For fixed age, history of metastasis, and post-PD-1 LDH, there was no longer evidence that gender was associated with progression (p=0.228). For the multivariable model, the concordance index was 0.83 (95% CI 0.70 to 0.95), indicating the substantial ability of the multivariable model to discriminate between early versus later or never progressing patients. There were no statistically significant two-way interactions in the context of the multivariable model (all p>0.154).
Table 2

Univariate and multivariate analysis for evaluation of potential predictors associated with melanoma recurrence

Potential predictorUnivariate association(HR, 95% CI, p value)Multivariable association(HR, 95% CI, p value)
Male gender (reference female)0.31 (0.11 to 0.94), p=0.038*0.48 (0.15 to 1.57), p=0.228
Age (per 10 years)0.71 (0.56 to 0.89), p=0.004*0.76 (0.59 to 0.98), p=0.037*
Pre-PD-1 NLR1.10 (0.88 to 1.37), p=0.426
Pre-PD-1 LDH (per 50 U/L)0.98 (0.78 to 1.24), p=0.882
History of brain metastasis (reference no history)5.83 (1.78 to 19.04), p=0.004 *4.91 (1.50 to 16.11), p=0.009*
Post-PD-1 NLR1.03 (0.70 to 1.53), p=0.872
Post-PD-1 LDH (per 50 U/L)2.19 (1.20 to 4.02), p=0.011*2.06 (1.06 to 4.00), p=0.032*
Best objective response (reference CR)PR 1.65 (0.34 to 7.99), p=0.531Overall p=0.403
SD 2.96 (0.54 to 16.27), p=0.211

*p values <0.05.

CR, complete response; LDH, lactate dehydrogenase; NLR, neutrophil–lymphocyte ratio; PD-1, programmed cell death protein 1; PR, partial response; SD, stable disease.

Univariate and multivariate analysis for evaluation of potential predictors associated with melanoma recurrence *p values <0.05. CR, complete response; LDH, lactate dehydrogenase; NLR, neutrophil–lymphocyte ratio; PD-1, programmed cell death protein 1; PR, partial response; SD, stable disease.

Relapse characteristics and retreatment patterns

Thirteen (25%) patients experienced disease progression. The median time to progression after treatment discontinuation was 3.9 (range 0.7–30.9) months. Of the relapsed patients two had CR, seven had PR and four had SD. Table 3 aggregates the relapse and treatment patterns and responses of these 13 patients.
Table 3

Summary of immediate treatment patterns and responses in patients who progressed after discontinuation of PD-1 therapy*

Patients who relapsed (patient †)Number of cycles/doses of initial anti-PD-1Duration (months) of initial anti-PD-1Time to progression (months)†Response at discontinuation of initial anti-PD-1Subsequent treatmentNumber of cycles/doses of subsequent anti-PD-1Duration (months) of subsequent anti-PD-1Time to last follow-Up (months)‡Vital status(alive (A)/deceased (D))
11711.621.6PRAnti-PD-174.626.7A
21813.58.5CRAnti-PD-1127.617.8A
317113.6PRResection6.7A
41510.43.7SDSBRT →Anti-PD-153.920.5A
5106.53.9SDResection →Anti-PD-184.837.8A
61711.31.8SDResection +radiation7.1D
71610.30.7SDSRS40A
81610.624.9CRAnti-PD-1138.342.8A
916112.9PRResection →Anti-PD-175.620.4A
101912.40.7PRResection31.7A
11117.630.9PRResection → Anti-PD-11210.443.3A
122013.66.7PRBRAF/MEK → Anti-PD-185.127.8A
131711.14.4PRSRS19.3A

*Further details in text.

†Time to progression from discontinuation of anti-PD-1.

‡Time to last follow-up from discontinuation of initial anti-PD-1.

CR, complete response; PD-1, programmed cell death protein 1; PR, partial response; SBRT, stereotactic body radiotherapy; SD, stable disease; SRS, stereotactic radiosurgery.

Summary of immediate treatment patterns and responses in patients who progressed after discontinuation of PD-1 therapy* *Further details in text. †Time to progression from discontinuation of anti-PD-1. ‡Time to last follow-up from discontinuation of initial anti-PD-1. CR, complete response; PD-1, programmed cell death protein 1; PR, partial response; SBRT, stereotactic body radiotherapy; SD, stable disease; SRS, stereotactic radiosurgery. Patients 1 and 2 had systemic multifocal failure but no metastasis to central nervous system (CNS). Both were retreated with anti-PD-1 therapy, which resulted in SD in patient 1 for more than 6 months and PR in patient 2. At data cutoff, both continued on anti-PD-1 therapy. Patient 3 had a solitary failure in the left adrenal and underwent adrenalectomy followed by observation only. Patient 4 had solitary progression in the right lung and underwent stereotactic body radiotherapy (SBRT). Seven months later, she had multifocal progression in the right lung and was started on anti-PD-1 therapy. After 3 months, she had progression in the brain, which was treated with stereotactic radiosurgery (SRS) and anti-PD-1 therapy was continued. Patient 5 had symptomatic progression in the brain and underwent resection of two brain lesions. Three months later patient was found to have systemic progression and was started on anti-PD-1 therapy, which led to SD for 6 months before progression needing splenectomy. Thereafter, the treatment was switched to nivolumab with ipilimumab. After four cycles patient had a mixed response and was switched to dabrafenib and trametinib, which caused PR. After 8 months, patient elected to switch back to anti-PD-1 therapy due to toxicities. Patient 6 was found to have progression in the brainstem. Since he did not have systemic progression outside CNS, he underwent resection and thereafter underwent postoperative radiation. Five months later, he had severe systemic progression and was transitioned to hospice. Patient 7 had CNS-only progression and underwent SRS and thereafter remained under observation. Patient 8 had multifocal progression in the left lung for which was started on anti-PD-1 therapy. The patient had PR but had progression in brain lesions, which were treated with SRS and PD-1 therapy was continued. The patient subsequently discontinued therapy after 9 months, has CR, and is now under observation. Patient 9 had progression in the left adrenal, underwent adrenalectomy followed by adjuvant PD-1 therapy for 6 months. It was discontinued due to arthralgias and patient continues to be without any recurrence. Patient 10 had solitary progression in the lower lobe of the left lung for which he underwent left lower lobe resection followed by observation. Patient 11 had small bowel obstruction leading to resection followed by adjuvant PD-1, which continued till data cutoff without recurrence (>9 months). Patient 12 had solitary progression in the right breast. The patient was started on encorafenib with binimetinib and after PR switched to anti-PD-1 therapy. Patient 13 had solitary progression in the brain, which was treated by SRS and since then is under observation. In summary, relapse patterns include solitary non-CNS progression in six patients, CNS (brain) only progression in four patients, and multifocal non-CNS progression in three patients. Of these 13 patients, 9 immediately underwent successful localized treatment to the solitary site of progression, which included SRS or SBRT for 3 patients and surgical resection of the tumor for 6 patients. Of these nine patients, four were retreated with PD-1 inhibitors. Of the remaining four patients, three were retreated with PD-1 inhibitors and one received BRAF/MEK followed by PD-1 inhibitor. Retreatment with PD-1 inhibitor controlled the disease in all patients. All patients except one were alive at data cutoff.

Discussion

Anti-PD-1 therapies are very effective for the treatment of metastatic melanoma. However, the optimal treatment duration is not well established.6 Continuing immunotherapies indefinitely predisposes patients to immune and financial toxicities and interferes with their quality of life. The adjusted total per patient per month cost for PD-1 inhibitors is approximately $13,059.9 Moreover, approximately 10% of patients who are treated with anti-PD-1 therapies develop grade 3 or higher treatment-related toxicities.10 These toxicities develop at different periods, with cutaneous toxicities such as rash, pruritus, and colitis developing earlier in the treatment course (within 8 weeks) and other toxicities such as acute interstitial nephritis manifesting much later (3–12 months).10 11 Delayed immune-related adverse events even after years of PD-1 therapies have been reported.12 A decrease in the duration of PD-1 therapies without impacting efficacy would therefore have a tremendous impact on the quality of life and financial health of these patients. Our study presents one of the largest real-world, observational cohorts of patients who received anti-PD-1 therapy outside of a clinical trial and made the informed decision to discontinue treatment at 1 year in the setting of disease stability and absence of immune toxicities. Prior evidence in this setting in melanoma is limited. In the multicohort phase 1 KEYNOTE-001 trial, a protocol amendment allowed patients to discontinue pembrolizumab if they had a confirmed CR on two consecutive CT scans and at least 6 months of treatment, including at least two infusions after CR confirmation.13 In the 67 patients meeting the eligibility criteria and deciding to discontinue treatment, the 24-month disease-free survival was 89.9%.13 In another real-world study, 185 patients with advanced melanoma discontinued treatment in the absence of treatment-limiting toxicities or progressive disease.14 The median duration of treatment was 12 months (range 0.7–43), and at the time of treatment discontinuation 117 (63%) patients had CR, 44 (24%) had PR, and 16 (9%) patients had SD. At a median follow-up of 18 (range 0.7–48) months after treatment discontinuation, 78% remained free of disease progression. The median time to progression was 12 (range 2–23) months, and progression was less frequent in patients who experienced CR (14%) compared with patients with PR (32%) and SD (50%).14 Another study retrospectively evaluated 102 patients who achieved CR and discontinued treatment for any reason.15 The median duration of treatment was 9.4 (range, 1.6–36.1) months. The probability of treatment failure at 3 years was 27% and responses on retreatment were not common. Responses were seen only in 5 of 34 retreated patients with single-agent anti-PD-1 therapy and 11 of 44 patients with anti-PD-1 with anti-CTLA-4-directed therapy.15 In a recent exploratory analysis of CheckMate 153, which evaluated continuous versus 1-year fixed-duration nivolumab in previously treated advanced non-small cell lung cancer patients, continuing nivolumab beyond 1 year appeared to be associated with improved outcomes.16 In the intent-to-treat population, continuous nivolumab was associated with longer median OS compared with 1-year fixed-duration treatment (not reached vs 28.8 months; HR, 0.62 (95% CI, 0.42 to 0.92)).16 We conducted a multivariable analysis of baseline demographics and clinical variables to evaluate their association with progression. The results indicate that younger age, history of brain metastasis, and a higher post-PD-1 LDH were associated with earlier time to progression. These findings are not at all unexpected. In preclinical melanoma-bearing mice models, tumors in young mice were found to be more resistant to anti-PD-1 inhibition compared with older mice. This was attributed to a significantly higher population of regulatory T cells in young mice.17 In a multi-institutional cohort of 538 patients with metastatic melanoma, the odds of progressing on anti-PD-1 therapy decreased by 13% with each decade of patient age.17 In another study of 11,944 patients with metastatic melanoma, older (≥60 years) compared with younger patients derived greater benefit with immunotherapies as evidenced by both multivariable Cox proportional hazards analysis and propensity score-weighted multivariable analysis.18 A similar difference in immunotherapy benefit based on age was not observed in other studies.19 20 Elevated LDH is a surrogate marker of high tumor burden and an independent predictor of poor outcome.21 22 Similarly, brain metastasis is a known poor prognostic indicator with a historic median OS of 11.2 weeks.23 While intracranial response rates with combination therapies of ipilimumab and nivolumab and BRAF-MEK inhibitors range between 55% and 58% in patients with asymptomatic brain metastasis, responses are poor in patients with symptomatic brain lesions and with single-agent anti-PD-1 therapies.23 Our study has several important distinctions from previously reported studies. Our cohort not only included patients who had CR but also included patients with PR or SD. Treatment duration was restricted to 1 year based on our established institutional practice, in order to generate interpretable results for early treatment discontinuation. All our patients received treatment outside of clinical trial, making it a representative real-world cohort encountered in daily practice. No one discontinued treatment due to toxicity. Limitations include single institution, retrospective design, and lack of PD-L1 and tumor mutational burden analysis, which could have provided more insight with regard to reasons for non-durable responses. The multivariate model must be interpreted cautiously. In particular, the selective inference reported for the multivariate model after variable selection is expected to be slightly optimistic (ie, the actual type I error rates are expected to be slightly greater than the nominal p values). Our study presents preliminary evidence for the feasibility of early stopping of anti-PD-1 therapies at 1 year in patients with metastatic melanoma. Patients with younger age, brain metastasis, and greater post-PD-1 LDH may be at higher risk of relapse following early anti-PD-1 therapy discontinuation, and thus may not be ideal candidates for this practice. Randomized clinical trials such as STOP-GAP (NCT02821013) and DANTE (ISRCTN15837212) are evaluating optimal anti-PD-1 treatment duration and the role of rechallenge in metastatic melanoma. However, further studies are also needed with regard to the role of the tumor and immune biomarkers, circulating tumor DNA, and positron emission tomography-computed tomography imaging to help individualize the selection process for patients in whom a shorter treatment duration may be effective.
  21 in total

Review 1.  Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review.

Authors:  Rimda Wanchoo; Sabine Karam; Nupur N Uppal; Valerie S Barta; Gilbert Deray; Craig Devoe; Vincent Launay-Vacher; Kenar D Jhaveri
Journal:  Am J Nephrol       Date:  2017-01-12       Impact factor: 3.754

2.  Survival Outcomes in Patients With Previously Untreated BRAF Wild-Type Advanced Melanoma Treated With Nivolumab Therapy: Three-Year Follow-up of a Randomized Phase 3 Trial.

Authors:  Paolo A Ascierto; Georgina V Long; Caroline Robert; Benjamin Brady; Caroline Dutriaux; Anna Maria Di Giacomo; Laurent Mortier; Jessica C Hassel; Piotr Rutkowski; Catriona McNeil; Ewa Kalinka-Warzocha; Kerry J Savage; Micaela M Hernberg; Celeste Lebbé; Julie Charles; Catalin Mihalcioiu; Vanna Chiarion-Sileni; Cornelia Mauch; Francesco Cognetti; Lars Ny; Ana Arance; Inge Marie Svane; Dirk Schadendorf; Helen Gogas; Abdel Saci; Joel Jiang; Jasmine Rizzo; Victoria Atkinson
Journal:  JAMA Oncol       Date:  2019-02-01       Impact factor: 31.777

3.  Regression modelling strategies for improved prognostic prediction.

Authors:  F E Harrell; K L Lee; R M Califf; D B Pryor; R A Rosati
Journal:  Stat Med       Date:  1984 Apr-Jun       Impact factor: 2.373

Review 4.  Comparison of efficacy of immune checkpoint inhibitors (ICIs) between younger and older patients: A systematic review and meta-analysis.

Authors:  Tomohiro F Nishijima; Hyman B Muss; Shlomit S Shachar; Stergios J Moschos
Journal:  Cancer Treat Rev       Date:  2016-03-02       Impact factor: 12.111

5.  Systemic Therapy for Melanoma: ASCO Guideline.

Authors:  Rahul Seth; Hans Messersmith; Varinder Kaur; John M Kirkwood; Ragini Kudchadkar; Jennifer Leigh McQuade; Anthony Provenzano; Umang Swami; Jeffrey Weber; Krishna C Alluri; Sanjiv Agarwala; Paolo A Ascierto; Michael B Atkins; Nancy Davis; Marc S Ernstoff; Mark B Faries; Jason S Gold; Samantha Guild; David E Gyorki; Nikhil I Khushalani; Michael O Meyers; Caroline Robert; Mario Santinami; Amikar Sehdev; Vernon K Sondak; Gilliosa Spurrier; Katy K Tsai; Alexander van Akkooi; Pauline Funchain
Journal:  J Clin Oncol       Date:  2020-03-31       Impact factor: 44.544

6.  Age Correlates with Response to Anti-PD1, Reflecting Age-Related Differences in Intratumoral Effector and Regulatory T-Cell Populations.

Authors:  Curtis H Kugel; Stephen M Douglass; Marie R Webster; Amanpreet Kaur; Qin Liu; Xiangfan Yin; Sarah A Weiss; Farbod Darvishian; Rami N Al-Rohil; Abibatou Ndoye; Reeti Behera; Gretchen M Alicea; Brett L Ecker; Mitchell Fane; Michael J Allegrezza; Nikolaos Svoronos; Vinit Kumar; Daniel Y Wang; Rajasekharan Somasundaram; Siwen Hu-Lieskovan; Alpaslan Ozgun; Meenhard Herlyn; Jose R Conejo-Garcia; Dmitry Gabrilovich; Erica L Stone; Theodore S Nowicki; Jeffrey Sosman; Rajat Rai; Matteo S Carlino; Georgina V Long; Richard Marais; Antoni Ribas; Zeynep Eroglu; Michael A Davies; Bastian Schilling; Dirk Schadendorf; Wei Xu; Ravi K Amaravadi; Alexander M Menzies; Jennifer L McQuade; Douglas B Johnson; Iman Osman; Ashani T Weeraratna
Journal:  Clin Cancer Res       Date:  2018-06-13       Impact factor: 12.531

7.  Serum markers lactate dehydrogenase and S100B predict independently disease outcome in melanoma patients with distant metastasis.

Authors:  B Weide; M Elsässer; P Büttner; A Pflugfelder; U Leiter; T K Eigentler; J Bauer; M Witte; F Meier; C Garbe
Journal:  Br J Cancer       Date:  2012-07-10       Impact factor: 7.640

8.  Delayed immune-related events (DIRE) after discontinuation of immunotherapy: diagnostic hazard of autoimmunity at a distance.

Authors:  Marcus A Couey; R Bryan Bell; Ashish A Patel; Meghan C Romba; Marka R Crittenden; Brendan D Curti; Walter J Urba; Rom S Leidner
Journal:  J Immunother Cancer       Date:  2019-07-03       Impact factor: 13.751

9.  New Systematic Therapies and Trends in Cutaneous Melanoma Deaths Among US Whites, 1986-2016.

Authors:  Juliana Berk-Krauss; Jennifer A Stein; Jeffrey Weber; David Polsky; Alan C Geller
Journal:  Am J Public Health       Date:  2020-03-19       Impact factor: 9.308

10.  Efficacy of PD-1 & PD-L1 inhibitors in older adults: a meta-analysis.

Authors:  Rawad Elias; Anita Giobbie-Hurder; Nadine Jackson McCleary; Patrick Ott; F Stephen Hodi; Osama Rahma
Journal:  J Immunother Cancer       Date:  2018-04-04       Impact factor: 13.751

View more
  5 in total

Review 1.  Long-Term Outcomes of Immune Checkpoint Inhibition in Metastatic Melanoma.

Authors:  Francesca Aroldi; Mark R Middleton
Journal:  Am J Clin Dermatol       Date:  2022-03-31       Impact factor: 7.403

2.  Outcome of Elective Checkpoint Inhibitor Discontinuation in Patients with Metastatic Melanoma Who Achieved a Complete Remission: Real-World Data.

Authors:  Leanne Perez; Wolfram Samlowski; Ruby Lopez-Flores
Journal:  Biomedicines       Date:  2022-05-16

Review 3.  Factors Determining Long-Term Antitumor Responses to Immune Checkpoint Blockade Therapy in Melanoma.

Authors:  Kimberly Loo; James W Smithy; Michael A Postow; Allison Betof Warner
Journal:  Front Immunol       Date:  2022-01-11       Impact factor: 7.561

Review 4.  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 5.  What is the optimal duration of immune checkpoint inhibitors in malignant tumors?

Authors:  Jiaxin Yin; Yuxiao Song; Jiazhuo Tang; Bicheng Zhang
Journal:  Front Immunol       Date:  2022-09-26       Impact factor: 8.786

  5 in total

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