| Literature DB >> 35392244 |
Kang Miao1, Xiaotong Zhang1, Hanping Wang1, Xiaoyan Si1, Jun Ni1, Wei Zhong1, Jing Zhao1, Yan Xu1, Minjiang Chen1, Ruili Pan1, Mengzhao Wang1, Li Zhang1.
Abstract
Background: Patients treated with immunotherapy in the real-world may have significantly different responses to those meeting inclusion criteria for random controlled clinical studies. There is a partial overlap in approved indications for the use of the different immune checkpoint inhibitors (ICIs) currently available. A comprehensive assessment of the efficacy, safety and economic effects of various ICIs is a problem that clinicians need to address.Entities:
Keywords: immune checkpoint inhibitors (ICIs); immunotherapy; non-small cell lung cancer (NSCLC); objective response rate (ORR); progression-free survival (PFS); real-world data (RWD)
Year: 2022 PMID: 35392244 PMCID: PMC8982065 DOI: 10.3389/fonc.2022.859938
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Basic information.
| Basic information | Number | Percentage |
|---|---|---|
|
| 351 | 100.0% |
|
| ||
| Male | 259 | 73.8% |
| Female | 92 | 26.2% |
|
| 65 (60-70) | |
| < 60 | 97 | 27.6% |
| 60-74 | 221 | 63.0% |
| ≥ 75 | 33 | 9.4% |
|
| ||
| Non-squamous carcinoma | 193 | 55.0% |
| Squamous carcinoma | 141 | 40.2% |
| NOS | 17 | 4.8% |
|
| ||
| III | 76 | 21.7% |
| IV | 275 | 78.3% |
|
| ||
| No | 283 | 80.6% |
| Yes | 68 | 19.4% |
|
| ||
| Pembrolizumab | 229 | 65.2% |
| Nivolumab | 18 | 5.1% |
| Camrelizumab | 21 | 6.0% |
| Tislelizumab | 24 | 6.8% |
| Sintilimab | 27 | 7.7% |
| Others | 32 | 9.1% |
|
| ||
| First-line | 188 | 53.6% |
| Second-line | 101 | 28.8% |
| Third-line and beyond | 32 | 9.1% |
| Others | 30 | 8.5% |
|
| ||
| No | 87 | 24.8% |
| Mono chemotherapy | 41 | 11.7% |
| Doublet chemotherapy | 223 | 63.5% |
|
| ||
| No | 314 | 89.5% |
| Yes | 37 | 10.5% |
|
| ||
| No | 124 | 35.3% |
| Yes | 227 | 64.7% |
|
| ||
| No | 236 | 67.2% |
| Yes | 115 | 32.8% |
|
| ||
| 0 | 148 | 42.2% |
| 1 | 162 | 46.2% |
| 2 | 27 | 7.7% |
| 3 | 7 | 2.0% |
| 4 | 7 | 2.0% |
|
| 60 | |
| Grade 1 | 8 | 13.3% |
| Grade 2 | 18 | 30.0% |
| Grade 3 | 14 | 23.3% |
| Grade 4 | 20 | 33.3% |
|
| 91 | |
| 0% | 21 | 23.1% |
| 1-49% | 37 | 40.7% |
| ≥ 50% | 33 | 36.3% |
|
| ||
| PR | 166 | 47.3% |
| SD | 130 | 37.0% |
| PD | 55 | 15.7% |
NOS, not otherwise specified; ICI, immune checkpoint inhibitor; ECOG-PS, Eastern Cooperative Oncology Group performance status; irAEs, immune-related adverse events; TPS, tumor cell proportion score; PR, partial response; SD, stable disease; PD, progressive disease.
Figure 1Kaplan-Meier plot of PFS for different ICIs. (A) PFS for all NSCLC patients; (B) stratified according to different ICIs (all NSCLC patients); (C) PFS for stage IV, first line, ECOG 0 – 1 patients; (D) stratified according to different ICIs (stage IV, first line, ECOG 0 – 1 patients).
Differences in efficacy between ICIs (all NSCLC patients).
| Cox regression | Logistic regression | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| number | Median PFS | HR | 95%CI | P-value | ORR | OR | 95%CI | P-value | |
|
| 351 | ||||||||
|
| 229 | 9.6 months | Reference | 0.943 | 45.0% | Reference | 0.894 | ||
|
| 18 | 9.2 months | 0.945 | 0.545-1.638 | 0.840 | 50.0% | 0.817 | 0.313-2.135 | 0.681 |
|
| 21 | 10.4 months | 1.077 | 0.610-1.901 | 0.799 | 47.6% | 0.899 | 0.367-2.201 | 0.816 |
|
| 24 | 10.3 months | 0.917 | 0.547-1.537 | 0.741 | 54.2% | 0.692 | 0.297-1.609 | 0.392 |
|
| 27 | 6.8 months | 1.212 | 0.773-1.903 | 0.402 | 51.9% | 0.759 | 0.342-1.687 | 0.499 |
|
| 32 | 9.7 months | 0.909 | 0.563-1.466 | 0.695 | 53.1% | 0.721 | 0.344-1.514 | 0.388 |
ICIs, immune checkpoint inhibitors; PFS, progression-free survival; HR, hazard ratio; 95% CI, 95% confidence interval; ORR, objective response rate; OR, odds ratio;
Differences in efficacy between ICIs (Stage IV, first line, ECOG 0-1 patients).
| cox regression | logistic regression | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| number | Median PFS | HR | 95%CI | p-value | ORR | OR | 95%CI | p-value | |
|
| 136 | ||||||||
|
| 94 | 10.2 months | Reference | 0.811 | 47.9% | Reference | 0.768 | ||
|
| 11 | 9.4 months | 0.779 | 0.313-1.940 | 0.592 | 63.6% | 0.525 | 0.144-1.913 | 0.329 |
|
| 13 | 10.4 months | 0.825 | 0.409-1.662 | 0.590 | 53.8% | 0.787 | 0.246-2.519 | 0.687 |
|
| 10 | 12.3 months | 0.664 | 0.285-1.550 | 0.344 | 60.0% | 0.612 | 0.162-2.311 | 0.469 |
|
| 8 | 13.8 months | 0.703 | 0.256-1.993 | 0.495 | 62.5% | 0.551 | 0.125-2.439 | 0.432 |
ICIs, immune checkpoint inhibitors; PFS, progression-free survival; HR, hazard ratio; 95% CI, 95% confidence interval; ORR, objective response rate; OR, odds ratio.
Differences in safety between ICIs.
| ICI | Pembrolizumab | Camrelizumab | Tislelizumab | Nivolumab | Sintilimab | Others | Total | |
|---|---|---|---|---|---|---|---|---|
| Patients | 229 | 21 | 24 | 18 | 27 | 32 | 351 | |
|
|
| 26 (11.4%) | 2 (9.6%) | 3 (12.5%) | 2 (11.2%) | 2 (7.4%) | 4 (12.6%) | 39 (11.1%) |
|
| 10 (4.4%) | 1 (4.8%) | 2 (8.3%) | 1 (5.6%) | 1 (3.7%) | 2 (6.3%) | 22 (4.8%) | |
|
|
| 2 (0.9%) | 1 (4.7%) | 1 (4.2%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 4 (1.1%) |
|
| 1 (0.4%) | 1 (4.7%) | 1 (4.2%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 3 (0.8%) | |
|
|
| 9 (3.9%) | 0 (0.0%) | 1 (4.2%) | 1 (5.6%) | 1 (3.1%) | 1 (3.7%) | 13 (3.7%) |
|
| 4 (1.7%) | 0 (0.0%) | 1 (4.2%) | 0 (0.0%) | 1 (3.1%) | 1 (3.7%) | 7 (2.0%) | |
|
|
| 7 (3.1%) | 0 (0.0%) | 1 (4.2%) | 0 (0.0%) | 2 (7.4%) | 0 (0.0%) | 10 (2.8%) |
|
| 4 (1.7%) | 0 (0.0%) | 1 (4.2%) | 0 (0.0%) | 2 (7.4%) | 0 (0.0%) | 7 (2.0%) | |
|
|
| 6 (2.6%) | 0 (0.0%) | 1 (4.2%) | 0 (0.0%) | 0 (0.0%) | 1 (3.1%) | 8 (2.2%) |
|
| 4 (1.7%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 4 (1.1%) | |
|
|
| 4 (1.7%) | 1 (4.7%) | 0 (0.0%) | 1 (5.6%) | 2 (7.4%) | 1 (3.1%) | 9 (2.6%) |
|
| 2 (0.9%) | 0 (0.0%) | 0 (0.0%) | 1 (5.6%) | 1 (3.1%) | 0 (0.0%) | 4 (1.1%) | |
|
|
| 41 (17.9%) | 3 (14.3%) | 4 (16.7%) | 3 (16.7%) | 4 (14.8%) | 5 (15.6%) | 60 (17.1%) |
|
| 22 (9.6%) | 2 (9.6%) | 3 (12.5%) | 2 (11.2%) | 2 (7.4%) | 3 (9.4%) | 34 (9.7%) | |
ICI, immune checkpoint inhibitor.
Figure 2Kaplan-Meier plot of PFS for subgroups of interest. (A) stratified according to recorded irAEs; (B) stratified according to PD-L1; (C) stratified according to targeted therapy history in post-line patients; (D) stratified according to primary efficacy assessment.