Abstract
Importance
Cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4) blockade with ipilimumab prolongs survival in metastatic melanoma patients. CTLA-4 blockade and granulocyte-macrophage colony stimulating factor (GM-CSF) secreting tumor vaccine combinations demonstrate therapeutic synergy in pre-clinical models. A key issue is whether systemic GM-CSF synergizes with CTLA-4 blockade.
Objective
To compare the effect of sargramostim plus ipilimumab vs ipilimumab alone on overall survival in patients with metastatic melanoma.
Design, Setting, and Participants
A phase II randomized clinical trial was conducted in the United States by Eastern Cooperative Oncology Group between December 28, 2010 and July 28, 2011. Patients with unresectable stage III or IV melanoma, ≥one prior therapy, no CNS metastases, and ECOG performance status 0/1 were eligible.
Interventions
Patients were randomized to ipilimumab 10 mg/kilogram intravenously day 1 plus sargramostim 250 μg subcutaneously days 1-14 of 21 day cycles versus ipilimumab alone. Ipilimumab treatment included induction for four cycles followed by maintenance every fourth cycle.
Main Outcomes and Measures
Primary was comparison of the length of overall survival. Secondary was progression-free survival, response rate, safety, and tolerability.
Results
A total of 245 patients were treated. Median follow-up was 13.3 months (range; .03-19.9). Median overall survival for sargramostim plus ipilimumab was 17.5 months (95% CI; 14.9, not reached) compared to 12.7 months (95% CI; 10.0, not reached) for ipilimumab. One-year survival rate for sargramostim was 68.9% (95% CI; 60.6%, 85.5%) compared to 52.9% (95% CI; 43.6%, 62.2%) with ipilimumab (stratified logrank one-sided P=.01; mortality hazard ratio .64, one-sided 90% repeated CI (not applicable, .90)). A planned interim analysis was conducted at 69.8% (104 observed/ 149 planned deaths) information time. O'Brien-Fleming boundary was crossed for improvement in overall survival. There was no difference in progression-free survival. Median progression free survival for ipilimumab+sargramostim was 3.1 months (95% CI; 2.9, 4.6) and for ipilimumab was 3.1 months (95% CI; 2.9, 4.0). Grade 3-5 adverse events occurred in 44.9% (95% CI; 35.8%, 54.4%) of sargramostim plus ipilimumab and 58.3% (95% CI; 49.0%, 67.2%) of ipilimumab alone (two-sided P=.04).
Conclusion and Relevance
Among patients with unresectable stage III or IV melanoma, treatment with sargramostim plus ipilimumab, compared to ipilimumab alone, resulted in longer overall survival and lower toxicity, but no difference in progression free survival. These findings require confirmation in larger sample sizes and longer follow up.
Introduction
GM-CSF is a cytokine that enhances activation of dendritic cells for antigen presentation and potentiates T and B lymphocyte anti-tumor functions1-3. Systemic administration of GM-CSF has activity in prostate and ovarian carcinoma and is being evaluated in Phase III adjuvant trials for melanoma and lymphoma4,5. A concern for clinical development is evidence that GM-CSF may induce negative regulatory immune responses6.
CTLA-4 is an immune checkpoint molecule that inhibits T lymphocyte activity. Ipilimumab, a fully human IgG1 monoclonal antibody that blocks CTLA-4, has demonstrated survival advantages in patients with pretreated metastatic melanoma when compared to a gp100 peptide vaccine7 as well as in treatment naive patients when combined with dacarbazine chemotherapy as compared to dacarbazine alone8. In multiple pre-clinical models, the combination of CTLA-4 antibody blockade and GM-CSF secreting tumor cell vaccines demonstrated therapeutic synergies9. Initial clinical experience raised the possibility of important therapeutic interactions between CTLA-4 blockade and GM-CSF secreting tumor cell vaccines10-12 with clinical benefits observed in melanoma, prostate cancer, and ovarian carcinoma. Pathologic analysis of responding metastases revealed infiltration by multiple types of immune effector cells associated with dying tumor deposits. Combining systemic GM-CSF with CTLA-4 blockade in hormone refractory prostate cancer demonstrated clinical responses with greater than 50% of patients experiencing PSA declines13. Together, these findings suggest that a more detailed analysis of the interplay of GM-CSF and CTLA-4 blockade should be undertaken. One key issue is whether the systemic administration of GM-CSF synergizes with CTLA-4 blockade. As a result, the current study sought to assess the overall survival for the combination of systemic GM-CSF (sargramostim) plus ipilimumab and ipilimumab treatment alone.
Methods
The study was approved by the Eastern Cooperative Oncology Group, the Cancer Therapeutic Evaluation Program of the National Cancer Institute, and Institutional Review Board responsible for each treating institution. Written informed consent was obtained from study participants or a legally authorized representative prior to enrollment.
Patients
Patients were eligible with histologic diagnosis of metastatic melanoma, measureable disease, no more than one prior therapy, no CNS metastases, ECOG performance status of 0 or 1, at least 18 years of age, greater than four weeks from prior therapy, adequate hematologic, hepatic, and renal function, no autoimmune disease, no infection with HIV, hepatitis B, or hepatitis C, and no prior CTLA-4 blockade or CD137 agonist. To assess for disparities in enrollment of minorities on NCI-sponsored clinical trials, it is required to collect data and to analyze differences in treatment effect by gender, race, and ethnicity. Given the nature of melanoma population, however, differences in treatment effect by race/ethnicity could not be fully assessed in this study.
Study Design and Treatment
The primary objective of the study was to evaluate the overall survival for the combination of sargramostim plus ipilimumab and ipilimumab alone in patients with advanced melanoma. Secondary objectives were to evaluate the progression-free survival, response rate, safety and tolerability of study treatments. Patients were stratified according to metastatic (M) stage and whether they had received a prior therapy or not. The final protocol is available in Appendix A. The planned accrual goal was 220, but due to rapid accrual a total of 245 patients were enrolled. Patients were equally randomized to receive ipilimumab 10 mg/kg every three weeks intravenously for four doses then every twelve weeks plus sargramostim (yeast-derived, rhu GM-CSF) 250 μg total dose subcutaneously on days 1-14 of 21 day cycles (group A; patients received no treatment days 15-21 of each cycle) or ipilimumab 10 mg/kg alone (group B). Stratified (AJCC stage and prior therapy) randomization based on permuted blocks within strata with dynamic institution balancing was used. Treatment assignments were obtained from the Central Randomization Desk at the ECOG Coordinating Center. No maximum number of cycles was planned. Patients could continue treatment without confirmed continued progression of disease or toxicity as outlined in the protocol. Due to known inflammatory effects of treatments which may appear as disease progression14, patients were permitted to continue with up to 100% increase in the sum of the product of the diameter of target lesions and the development of up to four new lesions in the absence of declining performance status and at the discretion of the treating physician.
Safety and tolerability were evaluated according to the NCI Common Terminology Criteria for Adverse Events (AEs), version 4.0. Protocol guidelines were utilized for management of immune-related AEs. Ipilimumab delay was permitted for any ≥grade 2 related AE except lab abnormalities, any ≥grade 3 skin related AEs (resolution to ≤grade 1 was required before continuing treatment), and any treatment-related ≥grade 3 laboratory abnormality. Patients who developed hypophysitis were able to continue treatment once receiving stable hormone replacement. Patients who experienced elevated liver function tests could continue once laboratory values returned to pretreatment grade. When AEs resolved to ≤grade 1 or returned to baseline within two weeks of ipilimumab administration, continued ipilimumab treatment was permitted at the next scheduled time point. If the AE did not resolve in this timeframe then that dose was omitted. GM-CSF was reduced by 50% for documented WBC greater than 60,000/mm3 and discontinued for any significant toxicity believed due to GM-CSF by the investigator.
This study was powered to compare an improvement in median survival from .87 to 1.23 years, including one interim analysis at 50% information time. This design provided an overall one-sided type I error rate of 0.10 and 80% power. Information time refers to a percentage of deaths observed at the time of an interim analysis in comparison to the total number of planned deaths in the study (i.e. 50% information time = 75 deaths/149 planned deaths). To preserve the overall type I error rate, critical values at the analyses were determined using the O'Brien and Fleming boundary15. The repeated confidence interval (RCI) of Jennison-Turnbull16 was constructed using the nominal type I error rate corresponding to the O'Brien and Fleming boundary. The RCI is an interval which provides a measure of accuracy for the estimated hazard ratio while adjusting for the fact that the hazard ratio was evaluated at the interim analysis during the course of study. Since the primary comparison is based on overall survival using the one-sided type I error rate of .10, one-sided 90% RCI of the hazard ratio for overall survival accurately describes the hazard ratio with an adjusted coverage probability for this design.
Assessments
Patients were required to complete eligibility assessments within 28 days of randomization. Computed tomography of the chest, abdomen, and pelvis and magnetic resonance imaging of the brain were performed prior to treatment and subsequently every 12 weeks following the initiation of treatment. If restaging scans indicated partial or complete response, a repeat confirmatory scan was performed four weeks later. Tumor responses were determined by the investigators using RECIST criteria and are audited as a part of ECOG-ACRIN standard procedures.
Endpoint Definition and Assessments
Overall survival was defined to be time from randomization to death from any cause, censoring cases who had not died at the date last known alive. Progression-free survival was defined to be time from randomization to disease progression or death (whichever occurred first), censoring cases without progression or death at the date of last disease assessment documenting the patient was free of progression. Patients without any post baseline tumor assessments were censored at random assignment. Overall survival and progression free survival were assessed per the standard ECOG-ACRIN follow up schedule, i.e., every three months if patient was less than two years from study entry, and every six months if patient was 2-5 years from study entry. Tumor assessments were made using RECIST v1.1 criteria. Complete and partial responses were considered as response. Response rate refers to a percentage of patients who achieved a response. The highest grade for adverse events recorded was assessed at the completion of each cycle and 30 days after the last dose of protocol therapy.
Peripheral Blood Analysis
Peripheral blood was collected before and during treatment. Of the patients with both pre- and post- samples, forty patients in each group (80 total), 20 patients with good survival outcome and 20 patients with poor survival outcome were selected by the study biostatistician. Due to limited resources only 80 patients could be included in this initial analysis. This method of sampling was used to balance patient groups representing a broad range of outcomes. Post hoc analyses were performed blinded to clinical outcomes or assigned treatment group. Inducible T cell costimulator (ICOS) T cell expression is necessary for optimal therapeutic effects of CTLA-4 blockade and is associated with improved survival with ipilimumab17,18. Changes of ICOS expression in CD4+ and CD8+ T cells were assayed by multi-color flow cytometry.
Statistical Analysis
Efficacy analyses on overall survival, progression free survival, and response data were performed in 245 randomized patients. Two treatment groups were compared using the intent-to-treat (defining groups by assigned treatment), Distributions of overall survival and progression free survival were estimated using the Kaplan-Meier method19. One-year overall survival and 6 months progress free survival rates were assessed from Kaplan-Meier estimates. Treatment effect was assessed using the stratified log rank test for overall survival and progression free survival. The hazard ratio was estimated based on the Cox proportional hazard model while adjusting for the stratification factors20. The stratification factors used in the randomization (AJCC stage and prior therapy) were used for the stratified log rank test and estimation of the hazard ratios. The distributions of categorical data (clinical response and toxicity) were compared using the Chi-square test or Fisher's exact test21 (for small samples).
There was one planned interim analysis on overall survival around 50% information time (75 deaths observed /149 planned deaths) using the O'Brien-Fleming boundary. Due to rapid accrual, information time on death accumulated slowly at the beginning but then rapidly reached 69.8% (104 deaths observed /149 planned deaths) in December 2012. The planned analysis was conducted using the O'Brien-Fleming boundary corresponding to 69.8% information time. The corresponding nominal significance level was .05. Using the corresponding significance level at this information time, repeated confidence interval (RCI)16 was estimated. Per study design, this represents a one-sided confidence interval for the hazard ratio of overall survival at this information time. Per study design, a one-sided p-value was presented for the primary endpoint (overall survival) comparison. All other p-values were based on two-sided tests (P < .05 considered significant). Analyses were conducted using SAS software version 9.2. (SAS Institute, Cary NC)
Results
Patients and Treatment
A total of 245 patients were randomized between December 28, 2010 and July 28, 2011, 123 patients to the ipilimumab plus sargramostim group and 122 patients to the ipilimumab-only group. The baseline patient characteristics are shown in Table 1. Treatment groups were well balanced for demographics. The median time of follow up was 13.3 months (range: .03-19.9). Treatment summary by cycle and reasons for treatment termination are presented in eTable S1. Populations of patients screened, treated, and followed are represented in enrollment and outcomes diagram (Figure 1). Overall survival data as of December 2012 and other data as of March 2013 were used. Efficacy analyses were performed on the 245 ITT patients. Safety data analysis was performed on the 238 patients who received protocol therapy and submitted data as of March 2013.
Table 1.
Baseline Patient Characteristics
| Characteristic | Group A: Ipilimumab + Sargramostim (n= 123 ) | Group B: Ipilimumab (n= 122) | |
|---|---|---|---|
| Age | Median (range) | 61 years (25-86) | 64 years (21-89) |
| Sex | Male | 85 (69.1%) | 78 (63.9%) |
| Female | 38 (30.1%) | 44 (36.1%) | |
| Race | White | 122 (99.2%) | 199 (97.6%) |
| Black | 0 | 1 (.8%) | |
| Unknown | 1 (.8%) | 2 (1.6%) | |
| Eastern Oncology Cooperative Group Performance Status | 0 | 68 (56.2%) | 78 (64.5%) |
| 1 | 53 (43.8%) | 43 (35.5%) | |
| Stage | Unresectable III | 29 (23.6%) | 31 (25.4%) |
| M1a/M1b | 33 (26.8%) | 31 (25.4%) | |
| M1c | 61 (49.6%) | 60 (49.2%) | |
| Serum Lactate Dehydrogenase | Normal | 69 (58%) | 68 (57.6%) |
| Elevated | 50 (42% ) | 50 (42.4%) | |
| Prior Therapy | None | 67 (54.5%) | 68 ((55.8%) |
| IFN | 18 (14.6%) | 17 (13.9%) | |
| One investigational or systemic therapy | 38 (30.9%) | 37 (30.3%) |
Figure 1.
Enrollment and Outcomes Diagram. There were 7 and 4 ineligible patients in Ipilimumab+Sargramostin and Ipilimumab treatment groups, respectively. These cases were confirmed to be ineligible based on the central review conducted at ECOG after randomization. All of them were included in the efficacy analysis.
Efficacy
Efficacy data are summarized in Table 2. The median overall survival was 17.5 months (95% CI; 14.9, not reached) for the ipilimumab plus sargramostim group and 12.7 months (95% CI; 10.0, not reached) for the ipilimumab-only group. The one-year overall survival was 68.9% (95% CI; 60.6%, 85.5%) for the ipilimumab plus sargramostim group and 52.9% (95% CI; 43.6%, 62.2%) for the ipilimumab-only group. The overall survival was significantly improved with the addition of sargramostim to ipilimumab with a stratified logrank one-sided p-value of .01. The Kaplan-Meier curves for overall survival are represented in Figure 2A. The stratified hazard ratio for overall survival on sargramostim plus ipilimumab compared to ipilimumab alone was .64. The one-sided 90% RCI for hazard ratio was (not applicable, .90). The O'Brien-Fleming boundary for overall survival was crossed at 69.8% (104 deaths observed / 149 planned deaths) information time. The progression free survival for the ipilimumab plus sargramostim group was 3.1 months (95% CI; 2.9,4.6) and for the ipilimumab-only group was 3.1 months (95% CI; 2.9,4.0). The differences between the treatment groups for progression free survival were not statistically significant (P=.37). The Kaplan-Meier curves for progression free survival are presented in Figure 2B. The response rate for the ipilimumab plus sargramostim group was 15.5% (95% CI; 9.6%, 23.1%) and for the ipilimumab-only group was 14.8% (95% CI; 9.0%, 22.3%), not statistically significant (P=.88). The subgroup analyses of overall survival and progression free survival hazard ratios are presented for line of therapy(the number of treatment regimens a patient has received) in eFigure S1 and eligible patients (those whose eligibility status was centrally reviewed and confirmed) in eFigure S2. Forest plots for treatment effects in the intent-to-treat patients are presented in Figure 3A for overall survival and Figure 3B for progression free survival. Eastern Cooperative Oncology Group performance status of zero (hazard ratio=.45, 95% CI .25,.80) and male (hazard ratio= .44, 95% CI .25, .76) subgroups had significant benefit for overall survival favoring ipilimumab plus sargramostim. Otherwise there were no significant differences for overall survival and progression-free survival in each category.
Table 2.
Summary of Efficacy Endpoints
| Group A: Ipilimumab + Sargramostim (n=123) | Group B: Ipilimumab (n=122) | Comparisons | |
|---|---|---|---|
|
Overall Survival -Total number of Deaths - Median, (95% Confidence Interval) - 1 -Year rate from Kaplan-Meier Estimate, (95% Confidence Interval) -Hazard Ratio One-sided 90% Repeated Confidence Interval for Hazard Ratio |
44 deaths 17.5 mo (14.9, Not Reached) |
60 deaths 12.7 mo (10.0, Not Reached) |
One-sided P=.01 (Stratified Log rank test) |
| 68.9% (60.6, 85.5) | 52.9% (43.6, 62.2) | ||
| .64 (not applicable, .90) | Reference | One-sided P =.01 (Stratified Cox model) | |
|
Progression-Free Survival (PFS) -Total number of Events (progression or death) -Median, (95% Confidence Interval) - 6-month progression-free survival rate from Kaplan-Meier Estimate (95% Confidence Interval) -Hazard Ratio (95% Confidence Interval) |
90 events 3.1 mo (2.9, 4.6) |
93 events 3.1 mo (2.9, 4.0) |
Two-sided P=.37 (Stratified Log rank test) |
| 34.0% (25.3,42.8) | 29.6% (21.1,38.1) | ||
| .87 (.64,1.18) | Reference | Two-sided P= .37 (Stratified Cox model) | |
| Clinical Response -Complete Response -Partial Response -Stable Disease -Progressive Disease -Unevaluable -Unknown Overall Response Rate (95% Confidence Interval) |
2 (1.6%) | 0 (0%) | Two-sided P=.88 (Chi-square test) |
| 17 (13.8%) | 18 (14.8%) | ||
| 26 (21.1%) | 23 (18.9%) | ||
| 55 (44.7%) | 52 (42.6%) | ||
| 20 (16.3%) | 23 (18.9%) | ||
| 3 (2.4%) | 6 (4.9%) | ||
| 19/123 (15.5%) (9.6%, 23.1%) | 18/122 (14.8%) (9.0%, 22.3%) |
Overall survival comparisons were designed with a one-sided type I error rate and one-sided p-values are presented. All other comparisons were based on two-sided testing and two-sided p-values were presented. Given the stratified randomization based on stage and prior therapy, stratified analyses were conducted for overall survival and progression-free survival.
Figure 2.


Kaplan-Meier Estimates for overall survival and progression-free survival. Panel A shows the primary efficacy treatment analysis of sargramostim plus ipilimumab as compared to ipilimumab alone (stratified hazard ratio = 0.64; One-sided 90% Repeated Confidence Interval (RCI), with an upper bound 0.90; stratified log rank test one-sided P=.01). Panel B shows the Kaplan-Meier estimates for progression-free survival by treatment group in the intent-to-treat patient population. There was no significant difference in progression-free survival between treatment groups (stratified hazard ratio =.87, 95% confidence interval (CI), 0.64 , 1.18; stratified log rank test two-sided P=.37).
Figure 3.


Subgroup analyses for overall survival and progression-free survival in intent-to treat patient population. Panel A shows subgroup analyses of overall survival among subgroups of patients as defined by baseline characteristics (age, sex, ECOG PS, LDH) and stratification factors (prior therapy and metastasis (M) stage classified according to the tumor-none-metastasis (TNM) categorization for melanoma of the American Joint Committee on Cancer). The hazard ratios were lower than one indicating a lower risk of death in each subgroup in favor of the sargramostim plus ipilimumab group except for gender. There was a differential treatment effect on OS by gender. While male patients treated with Ipilimumab+Sargramostim had better overall survival, female patients treated with Ipilimumab alone had better overall survival. This trend needs to be interpreted with caution as the sample size and number of deaths in subgroups by gender were relatively small. Boxes represent hazard ratios, size of box inversely proportional to SE of HR. Bars represent two-sided 95% confidence intervals. The stratified HR for overall survival was .64 with one-sided 90% RCI (not applicable, .90). ECOG PS: Eastern Cooperative Oncology Group performance status, LDH: Lactate dehydrogenase. AJCC: American Joint Committee on Cancer. HRs and the 95%CI were calculated using univariate Cox models for each category. Overall HR was estimated from the Cox model stratified by AJCC stage and prior therapy. Panel B: Subgroup analyses of progression-free survival. There were no significant differences for progression-free survival by treatment in any of the sub-groups.
Adverse Events
Toxicity/treatment data was compared using all cases who received treatment and have data submitted as of March 11, 2013. Of the 123 patients randomized to the ipilimumab plus sargramostim group, 4 patients did not start therapy (1 due to early death and 3 due to refusal) and 1 patient has no data submitted. Of the 122 patients randomized to the ipilimumab-only group, 1 patient did not start therapy due to early death and 1 patient has no data submitted. Thus 118 versus 120 patients in ipilimumab plus sargaramostim and ipilimumab groups were included in toxicity/treatment analyses.
The treatment-related AEs reported in the safety evaluation are listed in Tables 3A/3B; based on the worst degree, grade 3-5 AEs occurred in 44.9% (95% CI; 35.8%, 54.4%) of patients treated with ipilimumab plus sargramostim and in 58.3% (95% CI; 49.0%, 67.2%) of patients treated with ipilimumab alone. Toxicity was significantly lower in the sargramostim containing group than in the ipilimumab-only group (P=.04). The grade 3-5 AEs with incidence rate of >3% at least in one group are summarized in Table 3A and all grade 3-5 adverse events by grade in eTable S2. Table 3B summarizes grade 3-5 AEs by toxicity categories. Most notable were differences in gastrointestinal toxicities, 16.1% (95% CI: 9.9%, 24.0%) vs. 26.7% (95% CI: 19.0%, 35.5%) (P=.05) and pulmonary toxicities, 0% (95% CI: 0%, 3.1%) vs. 7.5% (95% CI: 3.5%, 13.8%) (P=.03) in patients treated with ipilimumab plus sargramostim vs. ipilimumab alone, respectively. Treatment-related lethal AEs occurred in 2 patients (1 cardiac arrest, 1 colonic perforation) in the ipilimumab plus sargramostim group and 7 patients (2 colonic failure, 2 multi-organ failure, 2 respiratory failure, 1 hepatic failure) in the ipilimumab-only group (eTable S3). To investigate whether the improved survival benefit with sargramostim was due to less toxicity, cases were censored with lethal AEs that included treatment-relations of “possibly”, “probably” and “definitely”, and all lethal AEs regardless of attributions. OS improvement was maintained with sargramostim when cases with lethal AEs were censored (eTable S4). In 25 cases with sargromostim and 39 with ipilimumab alone who terminated treatment due to AEs, the sargromostim group had better OS than ipilimumab alone (One-sided P= .04).
Table 3.
Treatment-related grade 3-5 toxicities with greater than 3% incidence in at least one treatment group and by toxicity category.
| Toxicity | Group A: Ipilimumab + Sargramostim (n=118) | Group B: Ipilimumab (n=120) |
|---|---|---|
| Number of Patients with Grades 3-5 toxicity (%) | Number of Patients with Grades 3-5 Toxicity (%) | |
| Diarrhea | 15 (12.7%) | 16 (13.3%) |
| Rash macula-papular | 11 (9.3%) | 11 (9.2%) |
| Colitis | 7 (5.9%) | 10 (8.3%) |
| Fatigue | 7 (5.9%) | 4 (3.3%) |
| Alanine aminotransferase increased | 6 (5.1%) | 7 (5.8%) |
| Aspartate aminotransferase | (4.2%) | |
| increased | 5 | 9 (7.5%) |
| Lipase increased | 5 (4.2%) | 6 (5.0%) |
| Dehydration | 5 (4.2%) | 5 (4.2%) |
| Hyponatremia | 5 (4.2%) | 3 (2.5%) |
| Pruritus | 3 (2.5%) | 7 (5.8%) |
| Endocrine disorders -other | 3 (2.5%) | 5 (4.2%) |
| Nausea | 3 (2.5%) | 4 (3.3%) |
| Colonic perforation | 2 (1.7%) | 7 (5.8%) |
| Generalized muscle weakness | 2 (1.7%) | 4 (3.3%) |
| Abdominal pain | 1 (0.8%) | 4 (3.3%) |
| Autoimmune disorder | 0 (0.0%) | 4 (3.3%) |
| Blood bilirubin increased | 0 (0.0%) | 4 (3.3%) |
| Any Toxicity (worst degree) | 53 (44.9%) | 70 (58.3%) |
| Treatment-related grades 3-5 toxicity by toxicity category | ||
|---|---|---|
| Toxicity Category | Group A: Ipilimumab + Sargramostim (n=118) | Group B: Ipilimumab (n=120) |
| Number of Patients with Grades 3-5 Toxicity (%) | Number of Patients with Grades 3-5 Toxicity (%) | |
| Blood/bone marrow | 1 (0.8%) | 1 (0.8%) |
| Cardiac disorders | 1 (0.8%) | 1 (0.8%) |
| Constitutional symptoms | 10 (8.5%) | 8 (6.7%) |
| Dermatology/skin | 13 (11.0%) | 14 (11.7%) |
| Endocrine | 4 (3.4%) | 9 (7.5%) |
| Gastrointestinal* | 19 (16.1%) | 32 (26.7%) |
| Hepatobiliary disorders | 1 (0.8%) | 1 (0.8%) |
| Immune system disorders | 1 (0.8%) | 5 (4.2%) |
| Infection/Febrile Neutropenia | 2 (1.7%) | 4 (3.3%) |
| Injury, Poisoning and procedure complications | 1 (0.8%) | 0 (0.0%) |
| Investigations | 17 (14.4%) | 18 (15.0%) |
| Metabolic | 13 (11.0%) | 11 (9.2%) |
| Musculoskeletal | 8 (6.8%) | 8 (6.7%) |
| Neurology | 4 (3.4%) | 0 (0.0%) |
| NP | 0 (0.0%) | 1 (0.8%) |
| Ocular/visual | 1 (0.8%) | 2 (1.7%) |
| Pulmonary* | 0 (0.0%) | 9 (7.5%) |
| Renal/Genitourinary | 0 (0.0%) | 1 (0.8%) |
| Vascular disorders | 3 (2.5%) | 5 (4.2%) |
| Any Toxicity* (with worst ) | 53 (44.9%) | 70 (58.3%) |
The study uses version 4.0 of the CTCAE.
The incidence of grade 3-5 AEs based on the worst degree was 44.9% in the ipilimumab plus sargramostim group and 58.3% in the ipilimumab-only group (two-sided P=.04). Detailed toxicity table can be found in the supplemental Table S2. Gastrointestinal toxicities were 16.1% in the ipilimumab plus sargramostim group and 26.7% in the ipilimumab-only group (two-sided P=.05). Pulmonary disorder was 0% in the ipilimumab plus sargramostim group and 7.5% in the ipilimumab-only group (two-sided P=.003). CTCAE version 4.0 was used in these data collection.
Significant difference for Gastrointestinal (P=.05), Pulmonary (P= .03) and any toxicity with worst degree (P=.04).
ICOS Expression
Post hoc analyses for changes in CD4+ and CD8+ ICOS T cells and correlation to treatment group are summarized in eFigure S3. ICOS (CD278) increases as a function of treatment were greater in the sargramostim containing group. The median change in CD4+ cells was 2.55 vs.1.85 (P=.11) and the median change in CD8+ cells was 0.5 vs. 0.4 ( P=.01).
Discussion
This randomized phase II study supports that the addition of sargramostim to ipilimumab therapy improved overall survival in patients with metastatic melanoma. It is the first to our knowledge to suggest a survival advantage for sargramostim. These results are consistent with the pre-clinical animal models and preliminary clinical experience of combining CTLA-4 blockade with GM-CSF secreting whole cell vaccines. The one-year overall survival rates in both groups of this study are higher than the estimated one-year overall survival rates of 36% for the ipilimumab plus sargramostim group and 33% for the ipilimumab-only group in the context of previous outcomes from multicenter cooperative group trials adjusting for gender, visceral disease, and performance status22.
The PFS, however, was not affected by the addition of sargramostim to ipilimumab. The lack of correlation between overall survival and progression free survival in this study presents challenges to clinical management and drug development since conventional radiographic criteria have not proven reliable to determine patient benefit. This introduces important considerations for our evaluation of the efficacy of treatment with particular immune therapies such as ipilimumab14. Both sargramostim and ipilimumab can provoke inflammation at tumor sites resulting in misinterpretation of inflammatory responses as disease progression. Prior studies demonstrated that this inflammatory tumor microenvironment frequently involves multiple immune effector cells, fibrosis, and edema10. Inflammatory responses may be difficult to discern radiographically from tumor cells and contribute to a disconnection between overall survival and progression free survival. Such uncoupling of OS and PFS benefit has previously been described with sipuleucel-T for the treatment of advanced prostate cancer23. Sipuleucel-T comprises antigen-presenting cells activated with antigenic proteins that include GM-CSF. This supports the biologic and clinical behaviors for GM-CSF witnessed in the current study and emphasizes the importance of endpoint selection when evaluating efficacy as well as the continued need for reliable predictive biomarkers.
Possible mechanisms for the improved efficacy observed in this trial may relate to improved antigen presentation with GM-CSF via recruitment of dendritic cells and macrophages, or to counteracting immune regulatory cells with ipilimumab. Pre-clinical and early clinical studies of GM-CSF secreting tumor cell vaccines plus CTLA-4 blockade demonstrated that the combination treatment stimulated an increase in the ratio of tumor infiltrating CD8+ cytotoxic T cells to FoxP3+ regulatory T cells11,24. Because GM-CSF alone may stimulate myeloid and monocytic derived suppressor cell populations as well as FoxP3+ regulatory T cells that limit anti-tumor immunity25-27, the addition of CTLA-4 blockade may overcome the potential tolerizing effects of the cytokine6,28 and favor instead the development of protective T cell responses. Whether GM-CSF also promotes anti-CTLA-4 monoclonal antibody mediated depletion of intra-tumoral regulatory T cells29 is an interesting possibility that will require further study. Moreover, the GM-CSF receptor organization allows graded cellular responses that are dependent on cytokine concentrations, resulting in a multitude of GM-CSF effects on suppressor cells, growth, and function30. As a result, GM-CSF activity may depend upon additional factors present in the tumor microenvironment such as CTLA-4 expression and degree of inflammation to determine whether GM-CSF promotes anti-tumor immune responses or tumor propagation. Interestingly, sargramostim improved expression of ICOS on CD4+ and CD8+ T cells validates the dependent mechanism of ICOS for ipilimumab function 17,18 and supports one mechanism for ipilimumab synergy with GM-CSF.
In addition to the improvement in overall survival, sargramostim afforded an advantage in toxicity over ipilimumab alone. The improved toxicity profile must be considered as contributing to the improved survival even in light of the survival advantage remaining when patients who discontinued therapy due to toxicity are excluded. Although the overall AE profile was consistent with that reported previously for ipilimumab, there were significantly less high grade treatment related events including deaths that occurred in patients receiving sargramostim. Most notably the combination showed a difference in serious gastrointestinal toxicities, particularly colonic perforation. Prior clinical studies suggest that systemic GM-CSF provides benefit for some patients with Crohn's disease. Interestingly, a subset of Crohn's patients harbors high titers of antibodies that neutralize GM-CSF function31, and a proportion of IBD patients show decreased levels of GM-CSF receptors32,33. In preclinical models, GM-CSF knockout mice develop severe colitis that is prevented with the administration of GM-CSF, responsible for accelerated mucosal repair34,35. GM-CSF is necessary for the generation of dendritic cells in the gut lamina propria to induce intestinal regulatory cells36. As a result, GM-CSF may contribute to gastrointestinal homeostasis by protecting and promoting healing of the mucosa37. The contrasting roles for GM-CSF in the tumor microenvironment and intestine may therefore provide reason for its improved anti-tumor activity and favorable toxicity profile when combined with ipilimumab.
Significant improvement in pulmonary toxicity with the addition of sargramostim was also observed. In GM-CSF knockout mice, animals develop accumulation of surfactant proteins and lipids in the alveolar space, similar to pulmonary alveolar proteinosis seen in humans38. In addition, these mice develop significant lymphoid hyperplasia surrounding the airways and lung vasculature, further suggesting the role of GM-CSF in lung homeostasis. Analogous to the gastrointestinal mucosa, models reveal that lung macrophages induce immune regulatory cells thereby generating airway tolerance39. As a result, independent validations of GM-CSF in gastrointestinal and pulmonary homeostasis influencing the clinical toxicity profile with CTLA-4 blockade exist. This may have additional implications in overall development and future combinations involving other checkpoint blockade therapies, such as PD-1 blockade with its risk for pneumonitis40.
Since the study was not blinded, one limitation is that investigator assessment of responses could have been influenced. In addition, patients may have sought out additional immune therapies following participation in this trial that influenced outcomes. Long-term reporting for this study is planned. It is also important to note that the dose and schedule of ipilimumab utilized in the current study differs from the current standard dosing (3 mg/kg for four doses) raising some safety concerns for the toxicity witnessed in the ipilimumab-only group. Given that the assessment of the peripheral blood for ICOS expression was a post hoc analysis in a subset of patients, further study in the entire patient population and prospective confirmation in subsequent studies is required.
Conclusions
Among patients with unresectable stage III or stage IV melanoma, treatment with a combination of sargramostim and ipilimumab, compared with ipilimumab alone, resulted in longer overall survival and lower toxicity, but no difference in progression free survival. These findings require confirmation in larger sample sizes and with longer follow up.
Supplementary Material
Acknowledgements
Dr. Hodi as principal investigator had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The authors’ affiliations are as follows: F. Stephen Hodi, Dana-Farber Cancer Institute, Boston, MA; Sandra Lee, Dana-Farber Cancer Institute, Boston, MA; David F. McDermott, Beth Israel Deaconess Medical Center, Boston, MA; Uma N. Rao, University of Pittsburgh Department of Pathology, Pittsburgh, PA; Lisa H. Butterfield, University of Pittsburgh Cancer Institute, Pittsburgh, PA; Ahmad A. Tarhini, University of Pittsburgh Cancer Institute, Pittsburgh, PA; Philip Leming, The Christ Hospital, Cincinnati, OH; Igor Puzanov, Vanderbilt University, Nashville, TN; Donghoon Shin, Dana-Farber Cancer Institute, Boston, MA; John M. Kirkwood, University of Pittsburgh Cancer Institute, Pittsburgh, PA. Dr. Hodi reports support from Cancer Therapy Evaluation Program (CTEP/NCI), Eastern Cooperative Oncology Group (ECOG), during the conduct of the study; non-financial support from Bristol-Myers Squibb, non-financial support from Sanofi/Genzyme, outside the submitted work; personal fees from Sanofi. In addition, Dr. Hodi has a patent of unrelated work licensed to Bristol-Myers Squibb as per institutional policy, a patent 20140004112 Therapeutic Peptides issued, and a patent 7250291 Tumor antigens and uses thereof issued. Dr. Lee reports support from the National Institutes of Health (National Cancer Institute). Dr. McDermott reports personal fees from Bristol-Myers Squibb, Pfizer, Genentech, and Merck. Dr. Butterfield reports support from the Eastern Cooperative oncology Group. Dr. Tarhini reports personal fees and grant support from Bristol-Myers Squibb, Genentech, Merck; grant support from Prometheus and Novarti. Dr. Rao, Dr. Leming, Dr, Puzanov and Mr. Shin have nothing to disclose. Dr. Kirkwood reports personal fees from Bristol-Myers Squibb, Merck, Glaxo-Smith-Kline, Celgene and Vical, outside the submited work. In addition to the authors, the following investigators participated in this study by contributing subjects and received no compensation: Sanjiv S. Agarwala, MD, St Luke's University Hospital-Bethlehem; Mark R. Albertini, MD, University of Wisconsin; Mitchell B. Alden, DO, Doylestown Hospital; Thomas T. Amatruda, MD, Unity Hospital; Daniel M. Anderson, MD, Regions Hospital; Jade G. Anderson, MD, Unity Hospital; Michael B. Atkins, MD, Beth Israel Deaconess Medical Center; Miklos L. Auber, MD, West Virginia University; Myron E. Bednar, MD, Hunterdon Medical Center; Michael K. Bergen, MD, Exempla Lutheran Medical Center; Kenneth B. Blankstein, MD, Hunterdon Medical Center; Sigurdur Bodvarsson, MD, Gundersen Lutheran Health System; Ernest C. Borden, MD, Cleveland Clinic Foundation; Warren S. Brenner, MD, Boca Raton Regional Hospital; Gary I. Cohen, MD, Greater Baltimore Medical Center; Justin D. Cohen, MD, Charleston Area Medical Center; Suzanne M. Cole, MD, Charleston Area Medical Center; Robert M. Conry, MD, University of Alabama at Birmingham; Edward D. Crum, MD, MetroHealth Medical Center; Shaker R. Dakhil, MD, Cancer Center of Kansas-Wichita; Morris S. Dees, MD, Orange Park Cancer Center; William T. Derosa, MD, Morristown Memorial Hospital; Lorraine S. Dougherty, MD, Doylestown Hospital; Luke P. Dreisbach, MD, Eisenhower Medical Center; Philip A. Dy, MD, Decatur Memorial Hospital; Mohammad H. Fekrazad, MD, University of New Mexico Cancer Center; Michael S. Frontiera, MD, Dean Hematology and Oncology Clinic; Vijaya K. Gadiyaram, MD, Nevada Cancer Institute; Teresa Gagliano-DeCesare, MD, Boca Raton Regional Hospital; Francois J. Geoffroy, MD, Illinois CancerCare-Peoria; Henry Gerad, MD, St Rita's Medical Center; Oscar B. Goodman, MD, Nevada Cancer Institute; Ni Gorsuch, MD, Charleston Area Medical Center; Stephen A. Grabelsky, MD, Boca Raton Regional Hospital; Sara J. Grethlein, MD, Mary Imogene Bassett Hospital; William W. Grosh, MD, University of Virginia; Randolph Hurley, MD, Regions Hospital; Nageatte Ibrahim, MD, Dana-Farber Cancer Institute; Clark S. Jean, MD, Nevada Cancer Research Foundation; Steven J. Jubelirer, MD, Charleston Area Medical Center; Howard L. Kaufman, MD, Rush University Medical Center; Ahmed A. Khalid, MD, Charleston Area Medical Center; Joseph M. Koenig, MD, Akron City Hospital; Henry B. Koon, MD, Case Western Reserve University; Andrzej P. Kudelka, MD, Stony Brook University Medical; John W. Kugler, MD, Illinois CancerCare-Peoria; Pankaj Kumar, MD, Illinois Oncology Research Associates; Timothy M. Kuzel, MD, Northwestern University; Brenda R. Larson, MD, Park Nicollet Health Services; Noel Laudi, MD, Mercy Hospital; Amy Law, MD, Eisenhower Medical Center; Donald P. Lawrence, MD, Massachusetts General Hospital; David H. Lawson, MD, Emory University; James M. Leonardo, MD,PhD, Mary Imogene Bassett Hospital; Marcia K. Liepman, MD, West Michigan Cancer Center; Theodore F. Logan, MD, Indiana University Hospital; Sameer A. Mahesh, MD, Akron City Hospital; Bassam I. Mattar, MD, Cancer Center of Kansas-Wichita; Amanda D. May, MD, Georgia Regents University; Janice M. Mehnert, MD, Rutgers Cancer Institute of New Jersey; Avanti Mehrotra, MD, North Memorial Medical Center; Sanjiv S. Modi, MD, Joliet Hematology/Oncology Associates; Manish A. Monga, MD, Wheeling Hospital; Dennis F. Moore, MD, Cancer Center of Kansas-Wichita; Stergios J. Moschos, MD, University of Pittsburgh Cancer Institute; Sujana Movva, MD, Emory University; Timothy J. Murphy, MD, Penrose-St Francis HealthCare; Suresh G. Nair, MD, Lehigh Valley Hospital; Sujatha Nallapareddy*, MD, Medical Center of Aurora; Ubaid Nawaz, MD, Aurora BayCare Medical Center; James A. Neidhart, MD, San Juan Oncology Associates; Erin V. Newton, MD, Indiana University Hospital; Grzegorz S. Obara, MD, Nevada Cancer Research Foundation; Adedayo Onitilo, MD, Marshfield Clinic; Nutan K. Parikh*, MD, Nevada Cancer Research Foundation; Anna C. Pavlick, MD, New York University Langone Medical Center; Andrew L. Pecora, MD, Hackensack Medical Center; Christopher G. Peterson, MD, Langlade Hospital and Cancer Center; Harlan A. Pinto, MD, VA Medical Center - Palo Alto; Maria Emelina B. Quisumbing, MD, Nevada Cancer Research Foundation; Pavan S. Reddy, MD, Cancer Center of Kansas-El Dorado; Sunil A. Reddy, MD, Stanford University; Adam I. Riker, MD, Ochsner Clinic; Wolfram E. Samlowski, MD, Nevada Cancer Research Foundation; James D. Sanchez, MD, Nevada Cancer Research Foundation; Amit Sanyal, MD, Dean Hematology and Oncology Clinic; Larry L. Schlabach, MD, Erlanger Medical Center; William H. Sharfman, MD, Johns Hopkins University; Jeffrey A. Sosman, MD, Vanderbilt University; Jonathan R. Sporn, MD, St Francis Hospital and Medical Center; Ronald L. Stephens, MD, Cancer Center of Kansas-Lawrence Memorial Hospital; Mario Sznol, MD, Yale University; Hussein A. Tawbi, MD, University of Pittsburgh Cancer Institute; Ralph D. Trochelman, MD, Akron City Hospital; Henry T. Tsai, MD, Eisenhower Medical Center; Dean G. Tsarwhas, MD, North Shore Oncology Hematology; Brian Vicuna, MD, Nevada Cancer Research Foundation; Geoffrey R. Weiss, MD, University of Virginia; Charles H. Weissman, MD, New York Oncology Hematology; Donald B. Wender, MD, Siouxland Hematology Oncology Associates; Eric D. Whitman, MD, Morristown Memorial Hospital; Diana S. Willadsen, MD, Memorial Medical Center; Michael J. Williamson, DO, IU Health Ball Memorial Hospital; Jerome D. Winegarden, MD, St Joseph Mercy Hospital - Ann Arbor; Jerry M. Winkler, MD, St Vincent Hospital Region Cancer Center; Andrew W. Yetter, MD, Vince Lombardi Cancer Clinic
Role of the Sponsors: The National Cancer Institute participated in the design and conduct of the study, but not in the data collection, management, analysis and interpretation of the data, or in the preparation, and approval of the manuscript or decision to submit the manuscript for publication. Bristol-Myers Squibb and Genzyme had no role in the design and conduct of the trial, in the collection, management, analysis, and interpretation of the data, or in the preparation and approval of the manuscript, or decision to submit the manuscript for publication. The National Cancer Institute, Bristol-Myers Squibb, and Genzyme participated in the review of the manuscript.
This study was coordinated by the Eastern Cooperative Oncology Group (Robert L. Comis, M.D., Chair) and supported in part by Public Health Service Grants CA23318, CA66636, CA21115, CA80775, CA39229, CA49957, CA32291 and from the National Cancer Institute, National Institutes of Health and the Department of Health and Human Services. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Cancer Institute. Research support from Genzyme Corporation, a Sanofi Company, and Bristol-Myers Squibb.
Footnotes
Trial Registration: clinicaltrials.gov Identifier: NCT01134614
References
- 1.Inaba K, Inaba M, Romani N, et al. Generation of large numbers of dendritic cells from mouse bone marrow cultures supplemented with granulocyte/macrophage colony-stimulating factor. J Exp Med. 1992;176:1693–702. doi: 10.1084/jem.176.6.1693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Fischer HG, Frosch S, Reske K, Reske-Kunz AB. Granulocyte-macrophage colony-stimulating factor activates macrophages derived from bone marrow cultures to synthesis of MHC class II molecules and to augmented antigen presentation function. J Immunol. 1988;141:3882–8. [PubMed] [Google Scholar]
- 3.Weisbart RH, Golde DW, Clark SC, Wong GG, Gasson JC. Human granulocyte-macrophage colony-stimulating factor is a neutrophil activator. Nature. 1985;314:361–3. doi: 10.1038/314361a0. [DOI] [PubMed] [Google Scholar]
- 4.Small EJ, Reese DM, Um B, Whisenant S, Dixon SC, Figg WD. Therapy of advanced prostate cancer with granulocyte macrophage colony-stimulating factor. Clin Cancer Res. 1999;5:1738–44. [PubMed] [Google Scholar]
- 5.Everly JJ, Lonial S. Immunomodulatory effects of human recombinant granulocyte-macrophage colony-stimulating factor (rhuGM-CSF): evidence of antitumour activity. Expert Opin Biol Ther. 2005;5:293–311. doi: 10.1517/14712598.5.3.293. [DOI] [PubMed] [Google Scholar]
- 6.Slingluff CL, Jr., Petroni GR, Olson WC, et al. Effect of granulocyte/macrophage colony-stimulating factor on circulating CD8+ and CD4+ T-cell responses to a multipeptide melanoma vaccine: outcome of a multicenter randomized trial. Clin Cancer Res. 2009;15:7036–44. doi: 10.1158/1078-0432.CCR-09-1544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hodi FS, O'Day SJ, McDermott DF, et al. Improved Survival with Ipilimumab in Patients with Metastatic Melanoma. N Engl J Med. 2010;363:711–23. doi: 10.1056/NEJMoa1003466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Robert C, Thomas L, Bondarenko I, et al. Ipilimumab plus dacarbazine for previously untreated metastatic melanoma. N Engl J Med. 364:2517–26. doi: 10.1056/NEJMoa1104621. [DOI] [PubMed] [Google Scholar]
- 9.van Elsas A, Hurwitz AA, Allison JP. Combination immunotherapy of B16 melanoma using anti-cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) and granulocyte/macrophage colony-stimulating factor (GM-CSF)-producing vaccines induces rejection of subcutaneous and metastatic tumors accompanied by autoimmune depigmentation. J Exp Med. 1999;190:355–66. doi: 10.1084/jem.190.3.355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hodi FS, Mihm MC, Soiffer RJ, et al. Biologic activity of cytotoxic T lymphocyte-associated antigen 4 antibody blockade in previously vaccinated metastatic melanoma and ovarian carcinoma patients. Proc Natl Acad Sci U S A. 2003;100:4712–7. doi: 10.1073/pnas.0830997100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hodi FS, Butler M, Oble DA, et al. Immunologic and clinical effects of antibody blockade of cytotoxic T lymphocyte-associated antigen 4 in previously vaccinated cancer patients. Proc Natl Acad Sci U S A. 2008;105:3005–10. doi: 10.1073/pnas.0712237105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.van den Eertwegh AJ, Versluis J, van den Berg HP, et al. Combined immunotherapy with granulocyte-macrophage colony-stimulating factor-transduced allogeneic prostate cancer cells and ipilimumab in patients with metastatic castration-resistant prostate cancer: a phase 1 dose-escalation trial. The lancet oncology. 2012;13:509–17. doi: 10.1016/S1470-2045(12)70007-4. [DOI] [PubMed] [Google Scholar]
- 13.Fong L, Kwek SS, O'Brien S, et al. Potentiating endogenous antitumor immunity to prostate cancer through combination immunotherapy with CTLA4 blockade and GM-CSF. Cancer Res. 2009;69:609–15. doi: 10.1158/0008-5472.CAN-08-3529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Wolchok JD, Hoos A, O'Day S, et al. Guidelines for the evaluation of immune therapy activity in solid tumors: immune-related response criteria. Clin Cancer Res. 2009;15:7412–20. doi: 10.1158/1078-0432.CCR-09-1624. [DOI] [PubMed] [Google Scholar]
- 15.O'Brien PC, Fleming TR. A multiple testing procedure for clinical trials. Biometrics. 1979;35:549–56. [PubMed] [Google Scholar]
- 16.Jennison C, Turnbull BW. Group Sequential Analysis Incorporating Covariate Information. Journal of the American Statistical Association. 1997;92:1330–41. [Google Scholar]
- 17.Fu T, He Q, Sharma P. The ICOS/ICOSL pathway is required for optimal antitumor responses mediated by anti-CTLA-4 therapy. Cancer Res. 2011;71:5445–54. doi: 10.1158/0008-5472.CAN-11-1138. [DOI] [PubMed] [Google Scholar]
- 18.Tang D, Shen Y, Sun J, et al. Increased frequency of ICOS+ CD4 T-cells as a pharmacodynamic biomarker for anti-CTLA-4 therapy. Cancer Immunol Re. 2013;1:1–6. doi: 10.1158/2326-6066.CIR-13-0020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kaplan EL, Meier P. Nonparametric estimation from incomplete observation. Journal of Americak Statistical Association. 1958;53:457–81. [Google Scholar]
- 20.Cox DR. Regression models and life tables (with discussion). Journal of the Royal Statistical Society Series B. 1972;34:187–220. [Google Scholar]
- 21.Agresti A. Cataegorical Data Analysis. Wiley; New York: 1990. [Google Scholar]
- 22.Korn EL, Liu PY, Lee SJ, et al. Meta-analysis of phase II cooperative group trials in metastatic stage IV melanoma to determine progression-free and overall survival benchmarks for future phase II trials. J Clin Oncol. 2008;26:527–34. doi: 10.1200/JCO.2007.12.7837. [DOI] [PubMed] [Google Scholar]
- 23.Kantoff PW, Higano CS, Shore ND, et al. Sipuleucel-T immunotherapy for castration-resistant prostate cancer. N Engl J Med. 2010;363:411–22. doi: 10.1056/NEJMoa1001294. [DOI] [PubMed] [Google Scholar]
- 24.Quezada SA, Peggs KS, Curran MA, Allison JP. CTLA4 blockade and GM-CSF combination immunotherapy alters the intratumor balance of effector and regulatory T cells. J Clin Invest. 2006;116:1935–45. doi: 10.1172/JCI27745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Jinushi M, Nakazaki Y, Dougan M, Carrasco DR, Mihm M, Dranoff G. MFG-E8-mediated uptake of apoptotic cells by APCs links the pro- and antiinflammatory activities of GM-CSF. J Clin Invest. 2007;117:1902–13. doi: 10.1172/JCI30966. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Filipazzi P, Valenti R, Huber V, et al. Identification of a new subset of myeloid suppressor cells in peripheral blood of melanoma patients with modulation by a granulocyte-macrophage colony-stimulation factor-based antitumor vaccine. J Clin Oncol. 2007;25:2546–53. doi: 10.1200/JCO.2006.08.5829. [DOI] [PubMed] [Google Scholar]
- 27.Parmiani G, Castelli C, Pilla L, Santinami M, Colombo MP, Rivoltini L. Opposite immune functions of GM-CSF administered as vaccine adjuvant in cancer patients. Ann Oncol. 2007;18:226–32. doi: 10.1093/annonc/mdl158. [DOI] [PubMed] [Google Scholar]
- 28.Sotomayor EM, Fu YX, Lopez-Cepero M, et al. Role of tumor-derived cytokines on the immune system of mice bearing a mammary adenocarcinoma. II. Down-regulation of macrophage-mediated cytotoxicity by tumor-derived granulocyte-macrophage colony-stimulating factor. J Immunol. 1991;147:2816–23. [PubMed] [Google Scholar]
- 29.Selby MJ, Engelhardt JJ, Quigley M, et al. Anti-CTLA-4 Antibodies of IgG2a Isotype Enhance Antitumor Activity through Reduction of Intratumoral Regulatory T Cells. Cancer Immunology Research. 2013;1:29–39. doi: 10.1158/2326-6066.CIR-13-0013. [DOI] [PubMed] [Google Scholar]
- 30.Hercus TR, Thomas D, Guthridge MA, et al. The granulocyte-macrophage colony-stimulating factor receptor: linking its structure to cell signaling and its role in disease. Blood. 2009;114:1289–98. doi: 10.1182/blood-2008-12-164004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Han X, Uchida K, Jurickova I, et al. Granulocyte-macrophage colony-stimulating factor autoantibodies in murine ileitis and progressive ileal Crohn's disease. Gastroenterology. 2009;136:1261–71. e1–3. doi: 10.1053/j.gastro.2008.12.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Goldstein JI, Kominsky DJ, Jacobson N, et al. Defective leukocyte GM-CSF receptor (CD116) expression and function in inflammatory bowel disease. Gastroenterology. 2011;141:208–16. doi: 10.1053/j.gastro.2011.03.060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Dranoff G. Granulocyte-macrophage colony stimulating factor and inflammatory bowel disease: establishing a connection. Gastroenterology. 2011;141:28–31. doi: 10.1053/j.gastro.2011.05.023. [DOI] [PubMed] [Google Scholar]
- 34.Egea L, Hirata Y, Kagnoff MF. GM-CSF: a role in immune and inflammatory reactions in the intestine. Expert review of gastroenterology & hepatology. 2010;4:723–31. doi: 10.1586/egh.10.73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Xu Y, Hunt NH, Bao S. The role of granulocyte macrophage-colony-stimulating factor in acute intestinal inflammation. Cell research. 2008;18:1220–9. doi: 10.1038/cr.2008.310. [DOI] [PubMed] [Google Scholar]
- 36.Coombes JL, Siddiqui KR, Arancibia-Carcamo CV, et al. A functionally specialized population of mucosal CD103+ DCs induces Foxp3+ regulatory T cells via a TGF-beta and retinoic acid-dependent mechanism. J Exp Med. 2007;204:1757–64. doi: 10.1084/jem.20070590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Fukuzawa H, Sawada M, Kayahara T, et al. Identification of GM-CSF in Paneth cells using single-cell RT-PCR. Biochem Biophys Res Commun. 2003;312:897–902. doi: 10.1016/j.bbrc.2003.11.009. [DOI] [PubMed] [Google Scholar]
- 38.Dranoff G, Crawford AD, Sadelain M, et al. Involvement of granulocyte-macrophage colony-stimulating factor in pulmonary homeostasis. Science. 1994;264:713–6. doi: 10.1126/science.8171324. [DOI] [PubMed] [Google Scholar]
- 39.Soroosh P, Doherty TA, Duan W, et al. Lung-resident tissue macrophages generate Foxp3+ regulatory T cells and promote airway tolerance. J Exp Med. 2013 doi: 10.1084/jem.20121849. Epub head of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Topalian SL, Hodi FS, Brahmer JR, et al. Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N Engl J Med. 366:2443–54. doi: 10.1056/NEJMoa1200690. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

