Literature DB >> 32002292

The prognostic impact of immune-related adverse events during anti-PD1 treatment in melanoma and non-small-cell lung cancer: a real-life retrospective study.

R Dupont1, E Bérard2, F Puisset3, T Comont4, J-P Delord5, R Guimbaud6,7, N Meyer7,8, J Mazieres9, L Alric1,10.   

Abstract

Background: Nivolumab and pembrolizumab, two PD1 inhibitors, trigger immune-related adverse events in approximately 50% of patients. Our objective was to determine whether these immune-related adverse events are associated with patient outcomes. Patients and
Methods: Retrospective cohort study, realized at the Institut Universitaire du Cancer de Toulouse, of all the patients treated with nivolumab or pembrolizumab off clinical trials. We included patients (i) diagnosed with unresectable stage III or stage IV melanoma or with recurrent stage IIIB or stage IV non-small cell lung cancer (ii) on nivolumab 3mg/kg or pembrolizumab 2mg/kg every 2 or 3 weeks respectively.
Results: Of the 311 patients included (of 641 eligible subjects), 120 (38.6%) had melanoma and 191 (61.4%) had non-small cell lung cancer; 241 (77.5%) were treated with nivolumab with a median follow-up of 24 months (20-29). We observed 166 immune-related adverse events in 116 (37.3%) patients, categorized as "early" (onset before 12 weeks in melanoma and before 8 weeks in lung cancer) in 63 (54.3%) patients. Early and late adverse events were significantly associated with an increase in overall survival: adjusted hazard ratio 0.58 [0.41-0.84] (p = .003) and 0.28 [0.16-0.50] (p < .001) respectively. The overall response rate was significantly increased in patients with an immune-related adverse event (53.9% vs 12.9%, p < .001) Conclusions: This study validates the association between immune-related adverse events and anti-PD1 efficacy in real-life, especially if these events are delayed. Our results, along with further studies on the place of immunosuppressive drugs in the therapeutic strategy, could improve the management of these adverse events.
© 2019 The Author(s). Published with license by Taylor & Francis Group, LLC.

Entities:  

Keywords:  Immune-related adverse events; NSCLC; anti-PD1; melanoma

Mesh:

Year:  2019        PMID: 32002292      PMCID: PMC6959447          DOI: 10.1080/2162402X.2019.1682383

Source DB:  PubMed          Journal:  Oncoimmunology        ISSN: 2162-4011            Impact factor:   8.110


Introduction

The development of immune checkpoint inhibitors is one of the most recent major advances in oncology. These agents are intended to unleash the power of the immune system in order to destroy tumor cells. At present, immunotherapy in routine practice consists mainly of anti-PD1 (programmed cell death-1) and anti-PD-L1 (programmed cell death ligand-1) antibodies. Nivolumab and pembrolizumab are the first two anti-PD1 to have been studied and demonstrate a substantial survival benefit compared to prior standard melanoma[1,2] and NSCLC[3-5] (non-small cell lung cancer) treatments. Although, immune-related adverse events (irAEs) occur in approximately 50% of patients treated with anti-PD1 monotherapy. These irAEs may concern any organ or system, with variable clinical severity and implications, leading to anti-PD1 discontinuation in approximately 10% of patients. Steroids or, more rarely, immunosuppressive drugs (IS) may be required to control irAEs. The management of irAEs has been the subject of recent ASCO guidelines[6] and remains largely based on expert consensus. The occurrence of irAEs has been found to be associated with favorable outcomes in melanoma, NSCLC and metastatic renal cell carcinoma.[7-28] This supports the hypothesis of a mechanistic link between antitumor response and auto-immune reactivity. Although this relationship has been well documented with nivolumab and in clinical trials, it has been less studied in real life and with other anti-PD1 besides nivolumab. In addition, current data on the impact of specific types of irAEs on outcomes are not entirely consistent. The aim of this cohort was to report on the efficacy and safety of nivolumab or pembrolizumab in patients with advanced melanoma or NSCLC with different clinical profiles, in real-life clinical practice.

Methods

Patients

We conducted a retrospective cohort study in all consecutive patients treated with nivolumab or pembrolizumab off clinical trials at the Toulouse University Cancer Institute (Institut Universitaire du Cancer de Toulouse {IUCT}, France), a tertiary referral center for cancer. All the patients who were included were 1) diagnosed with unresectable stage III or stage IV melanoma, or with recurrent stage IIIB or stage IV NSCLC, 2) over 18 years of age, 3) treated with anti-PD1 monotherapy, and 4) had received the first dose of anti-PD1 between September 19, 2014 and December 31, 2016. The patients were identified through the IUCT chemotherapy production unit register. The following clinical, biological and radiological data were collected at baseline: a) age, gender, smoking status, ECOG-PS (Eastern Cooperative Oncology Group – Performance Status), medication; b) cancer type and histological subtype, mutational status, TNM staging according to the AJCC Cancer Staging Manual, 7th edition,[29,30] metastatic sites, time since cancer diagnosis and the number of prior treatment lines. Patients were treated with nivolumab 3mg/kg or pembrolizumab 2mg/kg every 2 or 3 weeks respectively until confirmation of disease progression or unacceptable toxicity. Tumor assessment was performed according to the Response Evaluation Criteria in Solid Tumors (RECIST version 1.1). In cases where pseudoprogression was suspected, tumor assessment was postponed until a subsequent assessment. IrAEs were recorded and reviewed by the principal investigator (RD) up to one month after the last administration. To be taken into account in this study, the causal relationship between the irAE and the anti-PD-1 had to be “certain” or “probable” according to the World Health Organization Uppsala Monitoring Center scale. The following data were reviewed: grading (according to Common Terminology Criteria for Adverse Events, version 5.0), medications administered to treat irAEs and the irAE outcomes.

Outcomes

The overall response rate (ORR) was defined as the proportion of patients in whom the best objective response was a complete response (CR) or a partial response (PR). Progression-free survival was defined as the time that elapsed between the date of the first injection of anti-PD1 treatment and disease progression or death (progression-free survival [PFS]). Overall survival was defined as the time that elapsed between the first treatment injection and death (overall survival [OS]). The cutoff date for early and late irAEs was set at 12 weeks for melanoma patients and 8 weeks for NSCLC patients. “Digestive” irAEs included immune-related diarrhea, colitis and hepatitis.

Statistical analyses

After corrections for aberrant or inconsistent data, the database was locked. We first described the patient characteristics using the appropriate descriptive statistics according to the type of variables. Descriptive statistics included the median (Inter-Quartile Range (IQR)) for continuous variables, and the number of observations with the frequency (%) for categorical variables. The ORR of the groups was compared using the χ2-test (or Fisher’s exact test for small data sets). For survival endpoints (OS and PFS), Kaplan–Meier survival curves were drawn and described using the median (IQR) and 1-year survival. Univariate analyses with a log-rank test were conducted to evaluate the relationship between survival and age, sex, tumor type, histological subtype, mutational status, cerebral metastases, time since cancer diagnosis, the number of prior treatment lines, the anti-PD1 type, time on anti-PD1, steroids at baseline, and irAEs. In the univariate analysis, differences in survival functions were tested using the log-rank test. In the multivariate analysis, HR and 95% confidence intervals (CI) were assessed with Cox model. Variables initially introduced in the multivariate survival analyses were all variables (potential confounding factors) associated with OS or PFS in the univariate analyses with a P-value < 0.20. A backward analysis was then applied until only variables significantly and independently associated with OS or PFS (P-value <0.05) remained. The proportional hazard assumption was tested for each covariate of the Cox model using “log-log” plot curves and was always affirmed. When the linearity hypothesis was not respected, continuous variables were transformed into ordered data using the median. Interactions between independent covariates were tested in the final models. All reported P-values were two-sided and the significance threshold was set at <0.05. Statistical analyses were performed using STATA 14.1 software (StataCorp LP, College Station, TX 77845 USA, www.stata.com).

Ethics

The data were collected as part of routine clinical care in compliance with good clinical practices. The study was approved by the institutional board ethics committee of Toulouse University Hospital and was conducted in accordance with the Declaration of Helsinki.

Results

Patient characteristics

We identified 641 patients treated with nivolumab or pembrolizumab at our institution on January 16, 2018. Three hundred and eleven of these patients met the selection criteria for study inclusion (Supplementary Figure 1). One hundred and ninety-four patients were men (62.4%) and the median age was 64 years (iqr: 56–70 years). Past medical history was remarkable for an auto-immune condition in 5 patients (1.6%). One hundred and twenty patients (38.6%) had melanoma and 191 (61.4%) had NSCLC. Two hundred and forty-one patients (77.5%) were treated with nivolumab and 70 (22.5%) with pembrolizumab. The median follow-up was 24 months (iqr 20–29). Of the 120 (38.6%) melanoma patients, BRAFV600 mutation was identified in 38 (31.9%) tumors (Table 1). The anti-PD1 treatment was started within a median period of 2 years (iqr 1–5) after the diagnosis of cancer and was nivolumab in 50 cases (41.7%). The median duration of anti-PD1 treatment was 4 months (iqr 2–10).
Table 1.

Characteristics of melanoma patients.

Patients 
N120
Age (y), m (iqr)66 (55–74)
Sex, n (%) 
 Men73 (60.8)
 Women47 (39.2)
ECOG-PS, n (%) 
 066 (55.0)
 137 (30.8)
 214 (11.7)
 33 (2.5)
Steroids, n (%) 
 ≤10mg/d102 (85.0)
 >10mg/d18 (15.0)
Histological subtype, n (%) 
 SSM30 (25.0)
 Nodular26 (21.7)
 Other64 (53.3)
Stage, n (%) 
 M012 (10.0)
M1a-M1b26 (21.7)
 M1c82 (68.3)
Brain metastases, n (%)36 (30.0)
Number of metastatic sites, m (iqr)2 (1–3)
BRAF mutation, n (%)38 (31.9)
Time since cancer diagnosis (y), m (iqr)2 (1–5)
Treatment 
Previous systemic therapy 
 At least one, n (%)65 (54.2)
 Number of prior lines, m (iqr)1 (0–1)
Anti-PD1, n (%) 
 Nivolumab50 (41.7)
 Pembrolizumab70 (58.3)
Time on anti-PD1 (mo), m (iqr)4 (2–10)

m (iqr): median (interquartile range). d: day, ECOG-PS: Eastern Cooperative Oncology Group – Performance Status, mo: month, NSCLC: non-small cell lung cancer, PD1: programmed cell death-1, SSM: superficial spreading melanoma, y: year.

Characteristics of melanoma patients. m (iqr): median (interquartile range). d: day, ECOG-PS: Eastern Cooperative Oncology Group – Performance Status, mo: month, NSCLC: non-small cell lung cancer, PD1: programmed cell death-1, SSM: superficial spreading melanoma, y: year. Of the 191 (61.4%) NSCLC patients, all treated with nivolumab, 19 (10.2%) were never smokers (Table 2). The histological subtype was squamous in 44 cases (23.0%). An EGFR mutation was present in 9 (5.0%) tumors. The anti-PD1 treatment was started within a median period of 1 year (0.6–2) after the diagnosis of cancer. The median anti-PD1 treatment duration was 2 months (1–8).
Table 2.

Characteristics of NSCLC patients.

Patients 
N191
Age (y), m (iqr)63 (56–68)
Sex, n (%) 
 Men121 (63.4)
 Women70 (36.6)
Smoker, n (%) 
Present or past168 (89.8)
Never19 (10.2)
ECOG-PS, n (%) 
 037 (19.4)
 1132 (69.1)
 216 (8.4)
 35 (2.6)
 41 (0.5)
Steroids, n (%) 
 ≤10mg/d163 (86.7)
 >10mg/d25 (13.3)
Histological subtype, n (%) 
 Squamous44 (23.0)
 Others147 (77.0)
 adenocarcinoma135 (70.7)
Stage, n (%) 
 IIIB17 (8.9)
 IV174 (91.1)
Brain metastases, n (%)44 (23.0)
Number of metastatic sites, m (iqr)2 (1–2)
EGFR mutation, n (%)9 (5.0)
Time since cancer diagnosis (y), m (iqr)1 (0.6–2)
Treatment 
Line of anti-PD1, n (%) 
 Second92 (48.2)
 Third72 (37.7)
 Fourth or more27 (14.1)
Anti-PD1, n (%) 
 Nivolumab191 (100)
Length of time on anti-PD1 (mo), m (iqr)2 (1–8)

m (iqr): median (interquartile range). d: day, ECOG-PS: Eastern Cooperative Oncology Group – Performance Status, mo: month, NSCLC: non-small cell lung cancer, PD1: programmed cell death-1, y: year.

Characteristics of NSCLC patients. m (iqr): median (interquartile range). d: day, ECOG-PS: Eastern Cooperative Oncology Group – Performance Status, mo: month, NSCLC: non-small cell lung cancer, PD1: programmed cell death-1, y: year.

Efficacy

In patients with melanoma, 1-year OS and PFS were 49% [95%, CI 40–58] and 26% [18-34], respectively (Supplementary Table 1). Median OS and PFS were 11.6 (iqr 3.4–29.6) and 3.9 (2.2–12.6) months, respectively. The ORR was 33.9%. In patients with NSCLC, the 1-year OS and PFS were 44% [37-51] and 21% [16-27], respectively. Median OS and PFS were 9.1 (3.6–28.9) and 2.8 (1.6–10.4) months respectively. The ORR was 25.7%.

Safety analysis

During follow-up, 166 irAEs were reported in 116 (37.3%) patients (Tables 3 and 4). Multiple irAEs could occur in the same patient: two irAEs in 38 cases (12.2%), three irAEs in 3 cases (1.0%) and four in 2 cases (0.6%). Grade 3–4 irAEs occurred in 22 patients (7.1%) and 3 patients died as a result of myocarditis (n = 2) or pneumonitis (n = 1). The most frequent irAEs were cutaneous: 56 patients (18%), including rash: 28 (9.0%) and pruritus: 20 (6.4%), followed by diarrhea/colitis: 38 (12.2%), and dysthyroidism: 18 (5.8%). IrAEs occurred after a median of 2.3 months (iqr 1.0–5.1). Sixty-four patients (20.5%) experienced at least one early irAE, while 52 patients (16.7%) experienced only late irAE(s). Steroids were used in 43 cases (13.8%) and in conjunction with IS in 2 cases: infliximab (colitis, n = 1) and methotrexate (bullous pemphigoid, n = 1). Anti-PD1 was discontinued due to toxicity in 36 cases (11.6%).
Table 3.

Summary of irAEs in melanoma patients.

 Melanoma patients (n = 120)
 All grades,n (%)Grade 3–5,n (%)Time to irAE (mo),m (iqr)Steroids,n (%)Discontinuation,n (%)
Any58 (48.3)13 (10.8)2.8 (1.0–5.7)21 (17.5)16 (13.3)
Skin31 (25.8)1 (0.8)2.8 (1.4–8.5)2 (1.7)1 (0.8)
Vitiligo7 (5.8)0 (0.0)6.4 (5.4–12.1)0 (0.0)0 (0.0)
Rash17 (14.2)0 (0.0)2.6 (1.3–3.9)1 (0.8)0 (0.0)
Endocrine10 (8.3)2 (1.7)2.4 (1.1–3.0)0 (0.0)2 (1.7)
Thyroid7 (5.8)0 (0.0)2.7 (1.6–3.0)0 (0.0)0 (0.0)
Diarrhea or colitis19 (15.8)3 (2.5)0.7 (0.5–3.0)7 (5.8)3 (2.5)
Hepatitis2 (1.7)2 (1.7)17.8 (11.4–24.1)2 (1.7)2 (1.7)
Pneumonitis4 (3.3)1 (0.8)4.5 (3.3–8.0)4 (3.3)3 (2.5)
Interstitial nephritis4 (3.3)1 (0.8)4.4 (3.4–8.9)4 (3.3)4 (3.3)
Arthralgia5 (4.2)1 (0.8)5.8 (2.7–7.3)3 (2.5)1 (0.8)
Myocarditis1 (0.8)1 (0.8)3.51 (0.8)1 (0.8)

m (r): median (range), mo: (month).

Table 4.

Summary of irAEs in NSCLC patients.

 NSCLC patients (n = 191)
 All grades,n (%)Grade 3–5,n (%)Time to irAE (mo),m (iqr)Steroids,n (%)Discontinuation,n (%)
Any58 (30.4)9 (4.7)1.9 (1.0–3.8)22 (11.5)20 (10.5)
Skin25 (13.1)1 (0.5)2.3 (1.1–6.8)1 (0.5)1 (0.5)
Vitiligo1 (0.5)0 (0.0)3.90 (0.0)0 (0.0)
Rash11 (5.8)1 (0.5)4.2 (1.0–9.0)1 (0.5)1 (0.5)
Endocrine12 (6.3)1 (0.5)1.5 (1.0–2.4)3 (1.6)1 (0.5)
Thyroid11 (5.8)0 (0.0)1.1 (0.9–2.2)3 (1.6)1 (0.5)
Diarrhea or colitis19 (9.9)3 (1.6)2.8 (1.1–10.0)5 (2.6)6 (3.1)
Hepatitis3 (1.6)2 (1.0)3.8 (0.5–15.9)3 (1.6)3 (1.6)
Pneumonitis5 (2.6)1 (0.5)4.0 (3.0–5.7)5 (2.6)5 (2.6)
Interstitial nephritis1 (0.5)1 (0.5)1.11 (0.5)1 (0.5)
Arthralgia7 (3.7)0 (0.0)8.5 (1.0–13.1)2 (1.0)1 (0.5)
Myocarditis1 (0.5)1 (0.5)0.51 (0.5)1 (0.5)

m (r): median (range), mo: (month).

Summary of irAEs in melanoma patients. m (r): median (range), mo: (month). Summary of irAEs in NSCLC patients. m (r): median (range), mo: (month). Digestive irAEs, which consisted of 38 cases of diarrhea/colitis and 5 cases of hepatitis, occurred in 41 patients (13.2% of the study population and 35.3% of the patients who experienced an irAE). These irAEs were given a grade of 3–4 in 9 patients (22.0%), required steroids/IS in 15 patients (36.6%) and the discontinuation of anti-PD1 in 12 patients (29.3%). Of the 5 patients with a preexisting auto-immune condition, each of 4 patients (80%) experienced one irAE, with a grade of 5 in one instance. In melanoma patients, rash, vitiligo and diarrhea/colitis occurred more frequently than in patients with NSCLC (14.2% vs 5.8%, 5.8% vs 0.5%, and 15.8% vs 9.9% respectively). Moreover, grade 3–5 irAEs were more frequent (10.8% vs 4.7%), steroids/IS were used more often (17.5% vs 11.5%) and anti-PD1 discontinuation was more common (13.3% vs 10.5%).

Relationship between irAEs and survival

In the univariate analysis, any irAE, digestive irAEs, cutaneous irAEs, endocrine irAEs and irAEs grouped by early/late onset were significantly associated with an increase in OS: median 28.2 months (iqr 11.2 to not reached) vs 5.3 (2.0–14.4) (p < .001), 28.2 (9.1 to not reached) vs 8.7 (3.0–25.1) (p = .001), 29.6 (20.0 to not reached) vs 8.8 (3.3–28.1) (p < .001), not reached (28.2 to not reached) vs 8.8 (3.3–28.1) (p <.001), 16.5 (8.8–28.4) vs not reached (28.2 to not reached) (p < .001); and PFS: 11.5 months (5.8–25.8) vs 1.8 (1.2–3.7) (p < .001), 10.3 (2.8–24.8) vs 3.0 (1.6–9.1) (p = .001), 11.2 (8.8 to not reached) vs 2.9 (1.6–10.4) (p = .001), 12.3 (7.0 to not reached) vs 3.1 (1.6–10.4) (p < .001) and 8.0 (2.8–16.5) vs 18.8 (10.1 to not reached) (p < .001) (Figure 1, Supplementary Table 2). In contrast, anti-PD1 discontinuation was not significantly associated with OS or PFS.
Figure 1.:

Overall survival with or without irAEs.

NSCLC: non-small cell lung cancer.

Overall survival with or without irAEs. NSCLC: non-small cell lung cancer. In the multivariate analysis, early and late irAEs were significantly associated with better OS: HR 0.58 [0.41–0.84] (p = .003) and 0.28 [0.16–0.50] (p < .001), and PFS: 0.36 [0.26–0.50] (p < .001) and 0.24 [0.16–0.37] (p < .001), respectively (Table 5). Anti-PD1 discontinuation was significantly related to better PFS in melanoma patients: HR 0.34 [0.14–0.80] (p = .013), but not in NSCLC patients (p = .383). Steroids >10mg/d at baseline were significantly related to worse OS: 1.80 [1.26–2.57] (p = .001) and PFS: 1.90 [1.34–2.68] (p < .001). Moreover, the time since cancer diagnosis and the number of prior treatment lines were significantly associated with survival.
Table 5.

Multivariate analysis of overall and progression-free survival.

 Overall Survival
Progression-Free Survival
 HR (95%CI)PHR (95%CI)p
Steroids > 10mg/d at baseline1.80 [1.26–2.57]0.0011.90 [1.34–2.68]<0.001
Time since cancer diagnosis ≥ 1.3 y0.70 [0.53–0.93]0.012--
Two or more prior treatment lines--1.46 [1.14–1.88]0.003
Early irAE*0.58 [0.41–0.84]0.0030.36 [0.26–0.50]<0.001
Late irAE*0.28 [0.16–0.50]<0.0010.24 [0.16–0.37]<0.001
Time on anti-PD1 ≥ median time** on anti-PD10.21 [0.15–0.29]<0.0010.10 [0.07–0.13]<0.001

*The reference (HR = 1.00) is the group of patients without irAE. Early and late irAEs are defined respectively as occurring before or after 12 weeks for patients with melanoma and 8 weeks for patients with NSCLC. **Median time on anti-PD1 was 2 months for patients with melanoma and 4 months for patients with NSCLC. d: day, HR (IC95): Hazard Ratio (95% confidence interval), irAE: immune-related adverse event, PD1: programmed cell death protein 1, y: year.

Multivariate analysis of overall and progression-free survival. *The reference (HR = 1.00) is the group of patients without irAE. Early and late irAEs are defined respectively as occurring before or after 12 weeks for patients with melanoma and 8 weeks for patients with NSCLC. **Median time on anti-PD1 was 2 months for patients with melanoma and 4 months for patients with NSCLC. d: day, HR (IC95): Hazard Ratio (95% confidence interval), irAE: immune-related adverse event, PD1: programmed cell death protein 1, y: year.

Relationship between irAEs and tumor response

There was a significant increase in overall response rate in patients with an irAE regardless of the type (53.9% vs 12.9%, p < .001) (Table 6). Compared to patients who did not experience a specific type of irAE, the ORR was significantly higher in patients with cutaneous irAEs (66.1% vs 20.3%, p < .001), an immune-related rash (57.1% vs 26.0%, p < .005), endocrine irAEs (50.0% vs 27.3%, p = .024) and digestive irAEs (43.9% vs 26.6%, p = .023) (Table 6). In the irAE group, the ORR was significantly increased in patients with late irAEs compared to early irAEs (71.2% vs 39.7%, p < .001) but was not significantly different in patients treated with steroids/IS compared to untreated patients (47.6% vs 56.9%, p = .336).
Table 6.

Association of overall response rate with irAEs.

 Overall response raten/N (%)
 
 irAE presentirAE absentp
Any62/115 (53.9)23/178 (12.9)<0.001
Cutaneous37/56 (66.1)48/237 (20.3)<0.001
Rash16/28 (57.1)69/265 (26.0)<0.001
Endocrine11/22 (50.0)74/271 (27.3)0.024
Digestive18/41 (43.9)67/252 (26.6)0.023

Digestive irAEs include immune-related diarrhea/colitis and hepatitis; irAE: immune-related adverse event

Association of overall response rate with irAEs. Digestive irAEs include immune-related diarrhea/colitis and hepatitis; irAE: immune-related adverse event

Discussion

Our results confirm that the occurrence of irAEs is a favorable prognostic indicator, with nivolumab or pembrolizumab. Furthermore, we identified a relationship between ORR and various types of irAEs, in particular digestive irAEs. Lastly, we found that the relationship between irAEs and treatment efficacy is stronger if the irAEs occurs late in the course of anti-PD1 treatment. To the best of our knowledge, this is the first French retrospective series to describe the impact of nivolumab and pembrolizumab-induced irAEs on prognosis and survival in patients with melanoma and NSCLC. This study was conducted in a real-life setting by oncologists with an extensive clinical activity outside of clinical trials, in a cohort of consecutive patients with end-stage metastatic cancer. One hundred and five patients (33.8%) would not have met the eligibility criteria of the first clinical trials[1-4] because of active cerebral metastases or an ECOG-PS of 2 or 3. Moreover, 73 patients (23.5%) received nivolumab or pembrolizumab by means of an early-access program (the nominative temporary authorization). No NSLC patient received treatment with pembrolizumab because it was not yet approved at the time the study was conducted. The relationship between any irAE and patient outcomes should be interpreted by taking into consideration individual contributions of specific types of irAEs. Cutaneous irAEs, rash and vitiligo in isolation, have been consistently associated with favorable outcomes,[8,9,13,16,17,20,23,24,26,27] except in one study in which the frequency was fairly low. In our study, OS, PFS and ORR were consistently found to be superior in patients who experienced cutaneous irAEs or rash. Endocrine irAEs, all analyzed together or by taking into account single immune-related thyroid dysfunctions, have also been reported to be a favorable prognostic indicator,[9,11,20,22,24,26] with only one exception. In our study, endocrine irAEs were significantly associated with OS, PFS and ORR, even though only 7.1% of our patients experienced such irAEs, compared to approximately 10–15% in the literature. The relationship between gastrointestinal and/or hepatic irAEs and treatment efficacy is unclear. Gastrointestinal irAEs have been most frequently described as favorable[20,24,26] or neutral[22,28] prognostic factors. Nevertheless, Ksienski and al.[25] reported a negative univariate relationship between colitis and OS in 271 NSCLC patients treated with anti-PD1. However, this effect was not observed in the multivariate analysis. In our study, digestive irAEs were significantly associated with an increase in OS and PFS in the univariate, but not in the multivariate analysis. We believe this can be explained by different diarrhea/colitis profiles. In fact, 12.2% of the patients experienced diarrhea/colitis in our cohort, compared to 6.6% in the study by Ksienski and al., which probably reflects a higher incidence of grade 1–2 episodes in our series. In terms of hepatitis, the relationship with survival was found to be not significant in 4 studies[20,22,25,28] and significantly negative in one. In fact, in the work by Verzoni et al.[26] on 389 patients with renal cell carcinoma, the 1-year OS was 42% in the 7 patients who had hepatitis, versus 63% in the overall population. Conversely, the 1-year OS in our 5 hepatitis patients was 80% compared to 43% in the whole sample. Due to the small numbers and the cancer types that are different in the two studies, definite conclusions cannot be drawn on this point. In this work, we describe a relationship between the onset of irAE and survival, with a 2- to 3-fold change in HR in favor of late vs early irAEs, and between the onset of irAE and ORR. On the contrary, Verzoni et al. found that the 1-year OS was comparable in the early onset (< 6 weeks) and late onset (> 6 weeks) irAE groups: 78.7% vs 85.2% (p = .34). These discrepancies may be due to different cutoff points between early and late irAEs, i.e. 12 weeks for melanoma patients and 8 weeks for NSCLC patients in our study. The cutoff points were chosen to match the median time to irAE (2.8 months for melanoma patients and 1.9 months for NSCLC patients, respectively). The rationale for a relationship between irAEs and outcomes dependent on the timing of the irAE onset remains elusive. Steroids are often used in the management of anti-PD1 irAEs. Theoretically, steroids have immunosuppressive properties and could decrease the efficacy of anti-PD1. Current data is reassuring since the reported anti-PD1 outcomes are similar in patients treated with steroids for irAEs and patients experiencing irAEs who do not require the use of steroids.[18,33] In this study, we show that steroids used to control irAEs have a negative impact on PFS, but not on OS. These results, obtained from real-life data, unlike prior reports,[18,33] deserve further investigation to determine whether steroids could shorten antitumor response duration. The retrospective nature of this study exposes us to the risk of information biases. However, we implemented a process of reviewing medical records that enabled standardization of the definition of irAEs, causal relationship assessment and grading. Furthermore, we believe that selection biases were prevented as a result of the exhaustive method of patient inclusion by consecutive patients from a cohort recorded in the pharmacy register. Various confusion factors were accounted for in the multivariate analysis, except for PD-L1 expression due to insufficient available data. In addition, the statistical analysis clustered melanoma and NSCLC patients for increased reliability. On one hand, this choice was justified by the similarity of patient outcomes in the two tumor groups, notably the 1-year OS: 48% in the melanoma group vs 43% in the NSCLC group. Our cohort was an extensive study on real-life utilization of nivolumab or pembrolizumab in patients with advanced cancers. Therefore, overall survival in the melanoma group tended to be lower than that reported in phase 3 studies, ranging between 68 and 73%.[1,2] On the other hand, cancer type was not retained as significant during the variable selection phase in the multivariate modeling. Lastly, our data do not allow extrapolation of the prognostic impact of irAEs induced by checkpoint inhibitor combinations or by pembrolizumab in NSCLC patients. In conclusion, in a real-life setting, this study validates the relationship between irAEs and anti-PD1 efficacy in melanoma and NSCLC patients who are either on nivolumab or pembrolizumab, and highlights the importance of the delay in the occurrence of irAE in this relationship. Nevertheless, proper management of cancer patients experiencing irAE remains a challenge in daily clinical practice. Further studies aimed at investigating optimal steroid dosing and timing, the place of immunosuppressive drugs in the therapeutic strategy and the benefits and risks of anti-PD1 rechallenge after discontinuation for toxicity will help to improve patient outcomes.
  32 in total

1.  Efficacy and safety of nivolumab in previously treated patients with non-small cell lung cancer: A multicenter retrospective cohort study.

Authors:  Daichi Fujimoto; Hiroshige Yoshioka; Yuki Kataoka; Takeshi Morimoto; Young Hak Kim; Keisuke Tomii; Tadashi Ishida; Masataka Hirabayashi; Satoshi Hara; Manabu Ishitoko; Yasushi Fukuda; Moon Hee Hwang; Naoki Sakai; Motonari Fukui; Hitoshi Nakaji; Mitsunori Morita; Tadashi Mio; Takehiro Yasuda; Takakazu Sugita; Toyohiro Hirai
Journal:  Lung Cancer       Date:  2018-03-02       Impact factor: 5.705

2.  Management of Immune-Related Adverse Events in Patients Treated With Immune Checkpoint Inhibitor Therapy: American Society of Clinical Oncology Clinical Practice Guideline.

Authors:  Julie R Brahmer; Christina Lacchetti; Bryan J Schneider; Michael B Atkins; Kelly J Brassil; Jeffrey M Caterino; Ian Chau; Marc S Ernstoff; Jennifer M Gardner; Pamela Ginex; Sigrun Hallmeyer; Jennifer Holter Chakrabarty; Natasha B Leighl; Jennifer S Mammen; David F McDermott; Aung Naing; Loretta J Nastoupil; Tanyanika Phillips; Laura D Porter; Igor Puzanov; Cristina A Reichner; Bianca D Santomasso; Carole Seigel; Alexander Spira; Maria E Suarez-Almazor; Yinghong Wang; Jeffrey S Weber; Jedd D Wolchok; John A Thompson
Journal:  J Clin Oncol       Date:  2018-02-14       Impact factor: 44.544

3.  Immune-Related Adverse Events as a Biomarker in Non-Melanoma Patients Treated with Programmed Cell Death 1 Inhibitors.

Authors:  Julia Judd; Matthew Zibelman; Elizabeth Handorf; John O'Neill; Chethan Ramamurthy; Sasini Bentota; Jamie Doyle; Robert G Uzzo; Jessica Bauman; Hossein Borghaei; Elizabeth R Plimack; Ranee Mehra; Daniel M Geynisman
Journal:  Oncologist       Date:  2017-06-26

4.  Antibody-mediated thyroid dysfunction during T-cell checkpoint blockade in patients with non-small-cell lung cancer.

Authors:  J C Osorio; A Ni; J E Chaft; R Pollina; M K Kasler; D Stephens; C Rodriguez; L Cambridge; H Rizvi; J D Wolchok; T Merghoub; C M Rudin; S Fish; M D Hellmann
Journal:  Ann Oncol       Date:  2017-03-01       Impact factor: 32.976

5.  Pembrolizumab Cutaneous Adverse Events and Their Association With Disease Progression.

Authors:  Martina Sanlorenzo; Igor Vujic; Adil Daud; Alain Algazi; Matthew Gubens; Sara Alcántara Luna; Kevin Lin; Pietro Quaglino; Klemens Rappersberger; Susana Ortiz-Urda
Journal:  JAMA Dermatol       Date:  2015-11       Impact factor: 10.282

6.  Nivolumab in Resected and Unresectable Metastatic Melanoma: Characteristics of Immune-Related Adverse Events and Association with Outcomes.

Authors:  Morganna Freeman-Keller; Youngchul Kim; Heather Cronin; Allison Richards; Geoffrey Gibney; Jeffrey S Weber
Journal:  Clin Cancer Res       Date:  2015-10-07       Impact factor: 12.531

7.  Final version of 2009 AJCC melanoma staging and classification.

Authors:  Charles M Balch; Jeffrey E Gershenwald; Seng-Jaw Soong; John F Thompson; Michael B Atkins; David R Byrd; Antonio C Buzaid; Alistair J Cochran; Daniel G Coit; Shouluan Ding; Alexander M Eggermont; Keith T Flaherty; Phyllis A Gimotty; John M Kirkwood; Kelly M McMasters; Martin C Mihm; Donald L Morton; Merrick I Ross; Arthur J Sober; Vernon K Sondak
Journal:  J Clin Oncol       Date:  2009-11-16       Impact factor: 44.544

8.  Efficacy of Nivolumab and Pembrolizumab in Patients With Advanced Non-Small-Cell Lung Cancer Needing Treatment Interruption Because of Adverse Events: A Retrospective Multicenter Analysis.

Authors:  Doran Ksienski; Elaine S Wai; Nicole Croteau; Leathia Fiorino; Edward Brooks; Zia Poonja; Dave Fenton; Georiga Geller; Daniel Glick; Mary Lesperance
Journal:  Clin Lung Cancer       Date:  2018-09-22       Impact factor: 4.785

9.  Association of Immune-Related Adverse Events with Clinical Benefit in Patients with Advanced Non-Small-Cell Lung Cancer Treated with Nivolumab.

Authors:  Yukihiro Toi; Shunichi Sugawara; Yosuke Kawashima; Tomoiki Aiba; Sachiko Kawana; Ryohei Saito; Kyoji Tsurumi; Kana Suzuki; Hisashi Shimizu; Jun Sugisaka; Hirotaka Ono; Yutaka Domeki; Keisuke Terayama; Atsushi Nakamura; Shinsuke Yamanda; Yuichiro Kimura; Yoshihiro Honda
Journal:  Oncologist       Date:  2018-06-22

10.  Association of Immune-Related Adverse Events With Nivolumab Efficacy in Non-Small-Cell Lung Cancer.

Authors:  Koji Haratani; Hidetoshi Hayashi; Yasutaka Chiba; Keita Kudo; Kimio Yonesaka; Ryoji Kato; Hiroyasu Kaneda; Yoshikazu Hasegawa; Kaoru Tanaka; Masayuki Takeda; Kazuhiko Nakagawa
Journal:  JAMA Oncol       Date:  2018-03-01       Impact factor: 31.777

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  11 in total

1.  Comparative assessment of manual chart review and ICD claims data in evaluating immunotherapy-related adverse events.

Authors:  Andrew Nashed; Shijun Zhang; Chien-Wei Chiang; M Zitu; Gregory A Otterson; Carolyn J Presley; Kari Kendra; Sandip H Patel; Andrew Johns; Mingjia Li; Madison Grogan; Gabrielle Lopez; Dwight H Owen; Lang Li
Journal:  Cancer Immunol Immunother       Date:  2021-02-24       Impact factor: 6.968

2.  PD-1 and CTLA-4 inhibitors in combination vs. alone for the treatment of advanced melanoma: A systematic review and meta-analysis.

Authors:  Runzhi He; Xiaoling Zhao; Jianmin Liu; Yajing Zhou; Xiaochong Zhang; Fang Cheng
Journal:  Medicine (Baltimore)       Date:  2022-10-14       Impact factor: 1.817

3.  Switching administration of anti-PD-1 and anti-PD-L1 antibodies as immune checkpoint inhibitor rechallenge in individuals with advanced non-small cell lung cancer: Case series and literature review.

Authors:  Shingo Kitagawa; Taiki Hakozaki; Rui Kitadai; Yukio Hosomi
Journal:  Thorac Cancer       Date:  2020-05-18       Impact factor: 3.500

Review 4.  The Impact of Immunological Checkpoint Inhibitors and Targeted Therapy on Chronic Pruritus in Cancer Patients.

Authors:  Alessandro Allegra; Eleonora Di Salvo; Marco Casciaro; Caterina Musolino; Giovanni Pioggia; Sebastiano Gangemi
Journal:  Biomedicines       Date:  2020-12-22

5.  Peripheral blood biomarkers predict immune-related adverse events in non-small cell lung cancer patients treated with pembrolizumab: a multicenter retrospective study.

Authors:  Saeka Egami; Hitoshi Kawazoe; Hironobu Hashimoto; Ryuji Uozumi; Toko Arami; Naomi Sakiyama; Yuichiro Ohe; Hideo Nakada; Tohru Aomori; Shinnosuke Ikemura; Koichi Fukunaga; Masakazu Yamaguchi; Tomonori Nakamura
Journal:  J Cancer       Date:  2021-02-16       Impact factor: 4.207

Review 6.  From biomarkers to therapeutic targets: the promise of PD-L1 in thyroid autoimmunity and cancer.

Authors:  Grégoire D'Andréa; Sandra Lassalle; Nicolas Guevara; Baharia Mograbi; Paul Hofman
Journal:  Theranostics       Date:  2021-01-01       Impact factor: 11.556

7.  Association between Immune-Related Adverse Events and Survival in 319 Stage IV Melanoma Patients Treated with PD-1-Based Immunotherapy: An Approach Based on Clinical Chemistry.

Authors:  Lina María Serna-Higuita; Teresa Amaral; Andrea Forschner; Ulrike Leiter; Lukas Flatz; Olivia Seeber; Ioannis Thomas; Claus Garbe; Thomas Kurt Eigentler; Peter Martus
Journal:  Cancers (Basel)       Date:  2021-12-06       Impact factor: 6.639

8.  Safety and efficacy of retreatment with immune checkpoint inhibitors in non-small cell lung cancer: a systematic review and meta-analysis.

Authors:  Zijing Cai; Ping Zhan; Yong Song; Hongbing Liu; Tangfeng Lv
Journal:  Transl Lung Cancer Res       Date:  2022-08

Review 9.  Trial watch: STING agonists in cancer therapy.

Authors:  Julie Le Naour; Laurence Zitvogel; Lorenzo Galluzzi; Erika Vacchelli; Guido Kroemer
Journal:  Oncoimmunology       Date:  2020-06-16       Impact factor: 8.110

10.  Absolute Lymphocyte Count Predicts Immune-Related Adverse Events in Patients With Non-Small-Cell Lung Cancer Treated With Nivolumab Monotherapy: A Multicenter Retrospective Study.

Authors:  Saeka Egami; Hitoshi Kawazoe; Hironobu Hashimoto; Ryuji Uozumi; Toko Arami; Naomi Sakiyama; Yuichiro Ohe; Hideo Nakada; Tohru Aomori; Shinnosuke Ikemura; Koichi Fukunaga; Masakazu Yamaguchi; Tomonori Nakamura
Journal:  Front Oncol       Date:  2021-05-27       Impact factor: 6.244

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