| Literature DB >> 34036513 |
Rossella Rubino1, Andrea Marini2, Giandomenico Roviello2, Elena Margherita Presotto1, Isacco Desideri3, Isabella Ciardetti4, Marco Brugia5, Nicola Pimpinelli4, Lorenzo Antonuzzo5,6, Enrico Mini2, Lorenzo Livi3, Mario Maggi1, Alessandro Peri7.
Abstract
PURPOSE: Immune checkpoint inhibitors have opened a new scenario in the treatment of cancer. These agents can elicit adverse events, which may affect different systems and organs, including the endocrine system. The aims of this study were to evaluate the impact of the anti-PD-1 molecules nivolumab and pembrolizumab on endocrine toxicity and on patient outcome.Entities:
Keywords: Anti PD-1; Cancer; Endocrine toxicity; Immunotherapy
Mesh:
Substances:
Year: 2021 PMID: 34036513 PMCID: PMC8440282 DOI: 10.1007/s12020-021-02750-w
Source DB: PubMed Journal: Endocrine ISSN: 1355-008X Impact factor: 3.633
Demographic characteristics of the patients
| Males | Females | Total | |
|---|---|---|---|
| Number | 155 | 96 | 251 |
| Age (years) | 71.63 ± 1.57 (range 46–93) | 68.93 ± 2.15 (range 44–95) | 70.60 ± 1.28 (range 44–95) |
| Tumor | |||
| NSCLC | 109 (70.32%) | 64 (66.66%) | 173 (68.92%) |
| Melanoma | 38 (24.52%) | 23 (23.96%) | 61 (24.30%) |
| Kidney | 7 (4.52%) | 3 (3.12%) | 10 (3.98%) |
| Breast | 0 | 4 (4.16%) | 4 (1.59%) |
| Head-Neck | 1 (0.64%) | 1 (1.04%) | 2 (0.80%) |
| Bladder | 0 | 1 (1.04%) | 1 (0.40%) |
| ICPI | |||
| Nivolumab | 94 (60.64%) | 60 (62.50%) | 154 (61.35%) |
| Pembrolizumab | 61 (39.35%) | 36 (37.50%) | 97 (38.65%) |
Patients on follow-up at different times
| Months | N. of patients |
|---|---|
| 1 | 251 |
| 2 | 251 |
| 3 | 246 |
| 4 | 237 |
| 5 | 226 |
| 6 | 215 |
| 12 | 182 |
| 24 | 99 |
| 36 | 48 |
| 48 | 18 |
| 60 | 5 |
Predictive factors for the onset of endocrine toxicity during treatment with nivolumab or pembrolizumab
| Predictor | Toxicity | Chi2 | ||||
|---|---|---|---|---|---|---|
| No | Yes | |||||
| Male | 119 | 76.8% | 36 | 23.2% | 4.381 | 0.036 |
| Female | 62 | 64.6% | 34 | 35.4% | ||
| Head-Neck | 2 | 100.0% | 0 | 0.0% | 5.647 | 0.342 |
| Breast | 3 | 75.0% | 1 | 25.0% | ||
| Melanoma | 48 | 78.7% | 13 | 21.3% | ||
| NSCLC | 120 | 69.4% | 53 | 30.6% | ||
| Kidney | 8 | 80.0% | 2 | 20.0% | ||
| Bladder | 0 | 0.0% | 1 | 100.0% | ||
| Average age | 70.52 | n/a | 70.8 | n/a | 0.176 | 0.860 |
| Nivolum ab | 112 | 72.7% | 42 | 27.3% | 0.075 | 0.784 |
| Pembrolizumab | 69 | 71.1% | 28 | 28.9% | ||
| No | 156 | 78.4% | 43 | 21.6% | 18.840 | 0.00001 |
| Yes | 25 | 48.1% | 27 | 51.9% | ||
Simultaneous analysis of all possible predictors of endocrine toxicity by binary logistic regression analysis
| Statistical significance | Odd ratio | Odd Ratio C.I. (95%) | Probability | Probability C.I. (95%) | ||||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | Lower | Upper | |||||
| Gender | Male | 0.074 | 1.717 | 0.95 | 3.103 | 0.233 | 0.215 | 0.250 |
| Female | 0.365 | 0.334 | 0.395 | |||||
| Tumor | NSCLC | 0.284 | 0.799 | 0.53 | 1.204 | 0.298 | 0.277 | 0.320 |
| Melanoma | 0.247 | 0.215 | 0.279 | |||||
| Kidney | 0.276 | 0.189 | 0.363 | |||||
| Breast | 0.320 | 0.177 | 0.464 | |||||
| Head-Neck | 0.125 | 0.073 | 0.177 | |||||
| Bladder | 0.120 | 0.120 | 0.120 | |||||
| Previous endocrinopathy | No | 4.156 | 2.141 | 8.065 | 0.216 | 0.209 | 0.223 | |
| Yes | 0.518 | 0.560 | ||||||
| Anti PD-1 | Pembrolizumab | 0.902 | 1.039 | 0.57 | 1.894 | 0.289 | 0.260 | 0.318 |
| Nivolumab | 0.279 | 0.257 | 0.302 | |||||
| Age | ≤50 | 0.683 | 0.958 | 0.782 | 1.175 | 0.289 | 0.207 | 0.372 |
| 51–55 | 0.250 | 0.214 | 0.285 | |||||
| 56–60 | 0.278 | 0.217 | 0.340 | |||||
| 61–65 | 0.311 | 0.258 | 0.363 | |||||
| 66–70 | 0.270 | 0.227 | 0.312 | |||||
| >70 | 0.286 | 0.260 | 0.311 | |||||
A result is considered statistically significant if it allows to reject the null hypothesis. A significance level of 5% was considered, namely all the results with a p value < 0.05 have a 5% probability that the null hypothesis is correct. Conversely, the same results have a 95% probability that the expected result is correct
C.I. Confidence Interval
Fig. 1Time of onset of endocrine toxicity. The % refers to the total number of patients in which endocrine toxicity was found (n = 70)
Fig. 2Association between endocrine toxicity and clinical outcomes. Kaplan–Meier plots of (A) progression-free survival (PFS) and (B) overall survival (OS) in patients who developed endocrine toxicity vs patients who did not
Non-endocrine-related toxicities in the subgroup of patients with NSCLC (n = 92) treated with immunotherapy
| Toxicity | Number of cases |
|---|---|
| Fatigue | 31 |
| Skin rash | 18 |
| Itchiness | 16 |
| Diarrhea | 15 |
| Hypertransaminasemia/hyperbilirubinemia | 11 |
| Pneumonia | 10 |
| Hyporexia/anorexia | 10 |
| Arthritis | 8 |
| Mucositis | 7 |
| Fever | 6 |
| Nausea | 6 |
| Myalgia | 4 |
| Xerostomia | 3 |
Fig. 3Association between all toxicities and clinical outcomes. Kaplan–Meier plots of (A) progression-free survival (PFS) and (B) overall survival (OS) in patients who developed toxicities vs patients who did not