| Literature DB >> 33084525 |
Yukun Wang1, Dejiu Kong1, Chaokun Wang1, Jing Chen1, Jing Li1, Zhiwei Liu1, Xinyang Li1, Ziming Wang1, Ge Yao1, Xinshuai Wang1.
Abstract
OBJECTIVE: We aimed to evaluate immune-related adverse events occurring in clinical trials of anti-programmed cell death 1 (PD-1) drugs, compared with control treatments, including chemotherapy, targeted drugs, or placebo. Further we compared the occurrence of immune -related events in patients treated with different anti-PD-1 drugs. DATA SOURCES: Randomized controlled trial (RCT) data were sourced from PubMed, Embase, and the Cochrane Central Register of Controlled Trials combined with https://clinicaltrials.gov.Entities:
Keywords: anti-PD-1 drugs; immune-related adverse events; meta-analysis; systematic review
Year: 2020 PMID: 33084525 PMCID: PMC7588773 DOI: 10.1177/1533033820967454
Source DB: PubMed Journal: Technol Cancer Res Treat ISSN: 1533-0338
Figure 1.Flow diagram according to RISMA 2009.
Figure 2.Graph summarizing bias risk and applicability concerns.
Characteristics of Studies Included in the Meta-Analysis.
| Cancer | Drug | Colitis | Pneumonitis | Hypothyroidism | Hyperthyroidism | Rash | Pruritus | Hepatitis | Hypophysitis | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AE | Total | AE | Total | AE | Total | AE | Total | AE | Total | AE | Total | AE | Total | AE | Total | |||
| Robert 2015 | Melanoma | Nivolumab | 0 | 206 | 0 | 206 | 0 | 206 | 0 | 206 | 31 | 206 | 35 | 206 | 0 | 206 | 0 | 206 |
| Chemotherapy | 0 | 205 | 0 | 205 | 0 | 205 | 0 | 205 | 6 | 205 | 11 | 205 | 0 | 205 | 0 | 205 | ||
| Ascierto 2015 | Melanoma | Nivolumab | 0 | 206 | 0 | 206 | 13 | 206 | 0 | 206 | 38 | 206 | 49 | 206 | 0 | 206 | 0 | 206 |
| Chemotherapy | 0 | 205 | 0 | 205 | 2 | 205 | 0 | 205 | 6 | 205 | 11 | 205 | 0 | 205 | 0 | 205 | ||
| Borghaei 2015 | Non-small cell | Nivolumab | 0 | 287 | 0 | 287 | 0 | 287 | 0 | 287 | 0 | 287 | 0 | 287 | 0 | 287 | 0 | 287 |
| lung cancer | Chemotherapy | 0 | 268 | 0 | 268 | 0 | 268 | 0 | 268 | 0 | 268 | 0 | 268 | 0 | 268 | 0 | 268 | |
| Wu 2019 | Non-small cell | Nivolumab | 0 | 337 | 0 | 337 | 0 | 337 | 0 | 337 | 39 | 337 | 0 | 337 | 0 | 337 | 0 | 337 |
| lung cancer | Chemotherapy | 0 | 156 | 0 | 156 | 0 | 156 | 0 | 156 | 4 | 156 | 0 | 156 | 0 | 156 | 0 | 156 | |
| Brahmer 2015 | Non-small cell | Nivolumab | 0 | 131 | 6 | 131 | 0 | 131 | 0 | 131 | 5 | 131 | 0 | 131 | 0 | 131 | 0 | 131 |
| lung cancer | Chemotherapy | 0 | 129 | 0 | 129 | 0 | 129 | 0 | 129 | 8 | 129 | 0 | 129 | 0 | 129 | 0 | 129 | |
| Carbone 2017 | Non-small cell | Nivolumab | 0 | 267 | 0 | 267 | 0 | 267 | 0 | 267 | 26 | 267 | 0 | 267 | 0 | 267 | 0 | 267 |
| lung cancer | Chemotherapy | 0 | 263 | 0 | 263 | 0 | 263 | 0 | 263 | 15 | 263 | 0 | 263 | 0 | 263 | 0 | 263 | |
| Weber 2015 | Melanoma | Nivolumab | 0 | 268 | 0 | 268 | 0 | 268 | 0 | 268 | 0 | 268 | 43 | 268 | 0 | 268 | 0 | 268 |
| Chemotherapy | 0 | 102 | 0 | 102 | 0 | 102 | 0 | 102 | 0 | 102 | 2 | 102 | 0 | 102 | 0 | 102 | ||
| Harrington 2017 | Carcinoma of the | Nivolumab | 0 | 240 | 0 | 240 | 0 | 240 | 0 | 240 | 0 | 240 | 0 | 240 | 0 | 240 | 0 | 240 |
| head and neck | Chemotherapy | 0 | 121 | 0 | 121 | 0 | 121 | 0 | 121 | 0 | 121 | 0 | 121 | 0 | 121 | 0 | 121 | |
| Ferris 2018 | Carcinoma of the | Nivolumab | 0 | 236 | 0 | 236 | 0 | 236 | 0 | 236 | 18 | 236 | 17 | 236 | 17 | 236 | 0 | 236 |
| head and neck | Chemotherapy | 0 | 111 | 0 | 111 | 0 | 111 | 0 | 111 | 5 | 111 | 0 | 111 | 0 | 111 | 0 | 111 | |
| Yoon-Koo Kang 2017 | Gastric or gastro- | Nivolumab | 2 | 330 | 1 | 330 | 1 | 330 | 2 | 330 | 19 | 330 | 30 | 330 | 0 | 330 | 10 | 330 |
| esophageal junction cancer | Placebo | 0 | 161 | 0 | 161 | 0 | 161 | 0 | 161 | 5 | 161 | 9 | 161 | 0 | 161 | 1 | 161 | |
| Motzer 2015 | Renal cell cancer | Nivolumab | 0 | 406 | 16 | 406 | 0 | 406 | 0 | 406 | 0 | 406 | 57 | 406 | 0 | 406 | 0 | 406 |
| Target drugs | 0 | 397 | 58 | 397 | 0 | 397 | 0 | 397 | 0 | 397 | 39 | 397 | 0 | 397 | 0 | 397 | ||
| Tomita 2017 | Renal cell cancer | Nivolumab | 0 | 37 | 0 | 37 | 0 | 37 | 0 | 37 | 0 | 37 | 3 | 37 | 2 | 37 | 0 | 37 |
| Target drugs | 0 | 26 | 5 | 26 | 0 | 26 | 0 | 26 | 0 | 26 | 6 | 26 | 7 | 26 | 0 | 26 | ||
| Herbst 2 mg/kg 2016 | Non-small cell | Pembrolizumab (2 mg/kg) | 4 | 339 | 16 | 339 | 28 | 339 | 12 | 339 | 29 | 339 | 0 | 339 | 0 | 339 | 1 | 339 |
| lung cancer | Chemotherapy | 0 | 309 | 6 | 309 | 1 | 309 | 3 | 309 | 14 | 309 | 0 | 309 | 0 | 309 | 0 | 309 | |
| Herbst 10 mg/kg 2016 | Non-small cell | Pembrolizumab(10mg/kg) | 2 | 343 | 15 | 343 | 28 | 343 | 20 | 343 | 44 | 343 | 0 | 343 | 0 | 343 | 1 | 343 |
| lung cancer | Chemotherapy | 0 | 309 | 6 | 309 | 1 | 309 | 3 | 309 | 14 | 309 | 0 | 309 | 0 | 309 | 0 | 309 | |
| Cohen 2019 | Carcinoma of the | Pembrolizumab | 2 | 246 | 10 | 246 | 33 | 246 | 5 | 246 | 19 | 246 | 0 | 246 | 0 | 246 | 0 | 246 |
| head and neck | Chemotherapy | 1 | 234 | 3 | 234 | 2 | 234 | 1 | 234 | 34 | 234 | 0 | 234 | 0 | 234 | 0 | 234 | |
| Reck 2016 | Non-small cell | Pembrolizumab | 3 | 154 | 9 | 154 | 12 | 154 | 14 | 154 | 0 | 154 | 0 | 154 | 0 | 154 | 1 | 154 |
| lung cancer | Chemotherapy | 0 | 150 | 1 | 150 | 2 | 150 | 2 | 150 | 0 | 150 | 0 | 150 | 0 | 150 | 0 | 150 | |
| Shitara 2018 | Gastric or gastro- | Pembrolizumab | 3 | 294 | 8 | 294 | 23 | 294 | 12 | 294 | 0 | 294 | 0 | 294 | 4 | 294 | 4 | 294 |
| esophageal junction cancer | Chemotherapy | 4 | 276 | 0 | 276 | 1 | 276 | 1 | 276 | 0 | 276 | 0 | 276 | 0 | 276 | 0 | 276 | |
| Eggermont 2018 | Melanoma | Pembrolizumab | 19 | 509 | 17 | 509 | 73 | 509 | 52 | 509 | 82 | 509 | 90 | 509 | 9 | 509 | 0 | 509 |
| Placebo | 3 | 502 | 6 | 502 | 14 | 502 | 6 | 502 | 54 | 502 | 51 | 502 | 1 | 502 | 0 | 502 | ||
| Paz Ares 2018 | Non-small cell | Pembrolizumab | 7 | 278 | 18 | 278 | 22 | 278 | 20 | 278 | 0 | 278 | 0 | 278 | 5 | 278 | 3 | 278 |
| lung cancer | Placebo | 4 | 280 | 6 | 280 | 5 | 280 | 2 | 280 | 0 | 280 | 0 | 280 | 0 | 280 | 0 | 280 | |
Figure 3.Forest plot of total immune-related adverse events.
Figure 4.Forest plot of pneumonitis.
Figure 5.Forest plot of colitis.
Figure 6.Forest plot of hypophysitis.
Figure 7.Forest plot of hypothyroidism.
Figure 8.Forest plot of hyperthyroidism.
Figure 9.Forest plot of hepatitis.
Figure 10.Forest plot of pruritus.
Figure 11.Forest plot of rash.
Figure 12.Funnel plot to assess potential publication bias.