Summary
Background
Pneumonitis is a common complication for patients with locally advanced non-small cell lung cancer undergoing definitive chemoradiotherapy (CRT). It remains unclear whether there is ethnic difference in the incidence of post-CRT pneumonitis.
Methods
PubMed, Embase, Cochrane Library, and Web of Science were searched for eligible studies from January 1, 2000 to April 30, 2023. The outcomes of interest were incidence rates of pneumonitis. The random-effect model was used for statistical analysis. This meta-analysis was registered with PROSPERO (CRD42023416490).
Findings
A total of 248 studies involving 28,267 patients were included. Among studies of CRT without immunotherapy, the pooled rates of pneumonitis for Asian patients were significantly higher than that for non-Asian patients (all grade: 66.8%, 95% CI: 59.2%–73.9% vs. 28.1%, 95% CI: 20.4%–36.4%; P < 0.0001; grade ≥2: 25.1%, 95% CI: 22.9%–27.3% vs. 14.9%, 95% CI: 12.0%–18.0%; P < 0.0001; grade ≥3: 6.5%, 95% CI: 5.6%–7.3% vs. 4.6%, 95% CI: 3.4%–5.9%; P = 0.015; grade 5: 0.6%, 95% CI: 0.3%–0.9% vs. 0.1%, 95% CI: 0.0%–0.2%; P < 0.0001). Regarding studies of CRT plus immunotherapy, Asian patients had higher rates of all-grade (74.8%, 95% CI: 63.7%–84.5% vs. 34.3%, 95% CI: 28.7%–40.2%; P < 0.0001) and grade ≥2 (34.0%, 95% CI: 30.7%–37.3% vs. 24.6%, 95% CI: 19.9%–29.3%; P = 0.001) pneumonitis than non-Asian patients, but with no significant differences in the rates of grade ≥3 and grade 5 pneumonitis. Results from subgroup analyses were generally similar to that from the all studies. In addition, the pooled median/mean of lung volume receiving ≥20 Gy and mean lung dose were relatively low in Asian studies compared to that in non-Asian studies.
Interpretation
Asian patients are likely to have a higher incidence of pneumonitis than non-Asian patients, which appears to be due to the poor tolerance of lung to radiation. Nevertheless, these findings are based on observational studies and with significant heterogeneity, and need to be validated in future large prospective studies focusing on the subject.
Funding
None.
Keywords: Locally advanced non-small cell lung cancer, Chemoradiotherapy, Immunotherapy, Pneumonitis, Meta-analysis
Research in context.
Evidence before this study
Recently, several studies reported a higher incidence of pneumonitis in Asian than in non-Asian patients with locally advanced non-small cell lung cancer (NSCLC) undergoing chemoradiotherapy (CRT). Nevertheless, limited by the small sample size of these studies and lack of randomized control trials, whether there is ethnic difference in the risk of pneumonitis needs further evaluation. We searched PubMed, Embase, Cochrane Library, and Web of Science for eligible studies from January 1, 2000 to April 30, 2023, mainly using the search terms “chemoradiotherapy” and “non-small cell lung cancer”.
Added value of this study
To our knowledge, this is the first and most comprehensive meta-analysis focusing on ethnic difference in the incidence of post-chemoradiotherapy pneumonitis for patients with locally advanced NSCLC. Among studies examining definitive CRT, the pooled rates of all-grade, grade ≥2, grade ≥3, and grade 5 pneumonitis for Asian patients were significantly higher than that for non-Asian patients. Regarding studies of CRT plus immunotherapy, Asian patients had higher rates of all-grade and grade ≥2 pneumonitis than non-Asian patients, but with no significant differences in the rates of grade ≥3 and grade 5 pneumonitis.
Implications of all the available evidence
Asian patients are likely to have a higher incidence of pneumonitis than non-Asian patients. The results can be helpful to understand the ethnic difference in risk of post-chemoradiotherapy pneumonitis, and to optimize CRT strategy in Asian patients. Nevertheless, the findings are based on observational studies and with significant heterogeneity, and need to be validated in future large prospective studies focusing on the subject.
Introduction
Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, and approximately one-third of NSCLC patients have locally advanced (LA) disease at the time of diagnosis.1 Concurrent chemoradiotherapy (cCRT) has been the historical standard of care for patients with unresectable and LA-NSCLC. However, the survival outcomes of cCRT are unsatisfactory. Given the findings in the phase III PACIFIC trial2 that the addition of an immune checkpoint inhibitor (ICI) of durvalumab after cCRT significantly improved long-term survival (5-year survival of 42.9 vs 33.4%), the PACIFIC regimen has been the new standard of care in this setting. Nevertheless, treatment-related toxicities remain a issue of clinical concern, particular the toxicity of lung.
Radiation pneumonitis (RP) is a common complication for patients treated with thoracic radiotherapy (RT), which severely decreases patients quality of life. Many factors have been demonstrated to be predictive of RP (such as lung dose–volume parameters, RT technique, chemotherapy regimen, age, sex, history of surgery, and smoking, etc), while the predictive power of these factors appear to be moderate.3
Recently, several studies reported a higher rate of post-CRT pneumonitis in Asian than in non-Asian patients with LA-NSCLC. In subgroup analysis of the PACIFIC study,4 patients who developed pneumonitis were more likely Asian (47.9% vs. 17.6%). Results from a meta-analysis of patients undergoing CRT followed by durvalumab5 showed that the rate of all-grade pneumonitis from Asian studies was significantly higher than that from Western studies (62% vs. 22%, P = 0.017). Despite the limited sample size of the two studies, the findings suggested a potentially ethnic difference in risk of pneumonitis.
In light of this issue, we performed a systematic review and meta-analysis in LA-NSCLC patients undergoing definitive CRT with or without immunotherapy, aiming to clarify whether Asian patients were associated with a higher incidence of treatment-related pneumonitis than non-Asian patients.
Methods
Literature search
This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 statement6 and the Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guideline,7 and was registered with PROSPERO (CRD42023416490). PubMed, Embase, Cochrane Library and Web of Science were searched for eligible publications between January 1, 2000 and April 30, 2023 by two authors (TL and SL) independently, using the search terms presented in Supplementary File: Table S1. Abstracts of recent international meetings were also inspected, including the American Society of Clinical Oncology (ASCO), European Society for Medical Oncology (ESMO), European Lung Cancer Congress (ELCC), and American Society for Radiation Oncology (ASTRO). References of relevant studies were reviewed for additional articles.
Inclusion and exclusion criteria
The inclusion criteria were as follows: (1) prospective and retrospective studies examining definitive CRT with or without immunotherapy in unresectable LA-NSCLC; (2) adopting conventionally fractionated RT (1.8–2.2Gy, once-daily) with 3-dimensional conformal radiation therapy (3D-CRT) or intensity-modulated radiation therapy (IMRT) technique; (3) reporting the incidence rate of pneumonitis during the study period; (4) published in English. The exclusion criteria included: (1) two-dimensional RT; (2) Co-60 or Proton or Carbon-ion RT; (3) hypofractionated or hyperfractionated or stereotactic body radiation therapy; (4) RT alone; (5) neoadjuvant or adjuvant CRT; (6) cCRT with gemcitabine based regimens; (7) endostatin or cetuximab or targeted agents concurrently used with cCRT; (8) only reporting the incidence of pneumonitis during CRT period or less than 3 months after RT; (9) only reporting the incidence of late lung toxicity such as lung fibrosis; (10) the median follow up time less than 6 months; (11) including other types of tumors such as small cell lung cancer and esophageal cancer. When multiple articles covered the similar study population, the one with the most comprehensive data was selected.
Data extraction
The following information were collected independently by three authors (TL and SL and SD): first author, publication year, study period, design, region, race, sample size, patients baseline characteristics (race, age, sex, Eastern Cooperative Oncology Group [ECOG] score, smoking, stage, interstitial lung disease [ILD], follow-up time), RT technique, total RT dose, fractionated dose, RT field, CT regimen, pneumonitis grading criteria, median or mean of lung volume receiving ≥20 Gy (V20), mean lung dose (MLD), and incidence rates of pneumonitis.
Quality assessment
Methodological Index for Non-randomized Studies (MINORS) was used to assess the quality of these non-randomized studies8 by two authors (SD and JQ) independently.
Statistics
The outcomes of interest were incidence rates of all grade, grade ≥2, grade ≥3, and grade 5 pneumonitis. The random effect model was used for statistical analysis, using the software R (version 3.5.3, R Foundation for Statistical Computing) via the meta package. The inverse variance method was used to calculate pooled estimates of the rates of pneumonitis and their 95% confidence intervals (CIs). Q test was used to test the differences between Asian and non-Asian. The Chi-square (χ2) and I-square (I2) test were used to detect the presence of heterogeneity, and significant heterogeneity was considered present if I2 greater than 50%. Meta-regression was performed to search for confounding factors. The following subgroup analyses were performed: prospective studies, retrospective studies, involved-field irradiation (IFI), and CRT with consolidation durvalumab. Given the improved RT techniques, CT drugs/regimens, and CRT strategy, we also conducted a subgroup analysis of studies published after 2015 for patients undergoing CRT alone. The publication bias was estimated using Begg's test and Egger's test.
Role of funding source
There was no funding obtained for this study.
Results
Eligible studies
A total of 11,661 records were identified through initial database search. After removing duplicates, 5358 records were identified, and 4804 of them were excluded through titles and abstracts review. The remaining 554 articles underwent full-text assessment. Finally, 248 studies involving 28,267 patients were eligible for inclusion. The study selection process and reasons for exclusion are shown in Fig. 1. Among the 248 studies, 174 studies (85 Asian and 89 non-Asian) with 20,999 patients examined definitive CRT without immunotherapy,9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69,70, 71, 72, 73, 74, 75, 76, 77, 78,78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88,89, 90, 91,92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128,129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159,160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181 64 studies (24 Asian and 40 non-Asian) with 6330 patients examined CRT plus immunotherapy,182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209,210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245 and 10 studies (all Asian) with 938 patients examined the both.246, 247, 248, 249, 250, 251, 252, 253, 254, 255 The majority of studies assessed cCRT (226/248, 91%), and using platinum-based doublet chemotherapy regimens. Most of pneumonitis was graded according to Common Toxicity Criteria for Adverse Events (CTCAEs) criteria. As for CRT without immunotherapy, the median age (63 years [IQR, 60–66 years] vs. 63 years [IQR, 60–65 years]), ECOG 0-2 (99% vs. 99%), stage 3 disease (99% vs. 95%), involved-field irradiation (IFI) (79% vs 84%), and the median follow-up (23 months [IQR, 15–33 months] vs. 24 months [IQR, 16–38 months]) were comparable between studies of Asian and non-Asian, while males (80% vs. 69%) and never smoking (14.6% vs. 5.7%) appeared to be unbalanced. Regarding CRT plus immunotherapy, all of studies were published after 2018. Durvalumab was the most common ICI used in studies, and other ICIs were used in 10 studies (1 of sugemalimab, 3 of atezolizumab, 3 of nivolumab, and 3 of pembrolizumab), and 5 studies adopted mixed ICIs. The median age (68 years [IQR, 64–70 years] vs. 66 years [IQR, 65–67 years]), ECOG ≥2 (99% vs. 99%), stage 3 disease (93% vs. 98%), and the median follow-up (15 months [IQR, 14–17 months] vs. 19 months [IQR, 15–21 months]) were also similar between Asian and non-Asian studies, while males (80% vs. 64%) and never smoking (13.7% vs. 7.5%) seemed to be unbalanced. There are 21 studies of Asian and 2 studies of non-Asian provided the information of preexisting ILD. Among these studies, preexisting ILD ranged from 0% to 25% for Asian studies and 0% and 2% for the two non-Asian studies. The main characteristics of studies are presented in Tables 1 and 2, and the main treatments and outcomes are shown in Supplementary File: Table S2 and S3, respectively.
Fig. 1.
Literature search and selection. 2D, two-dimensional; RT, radiotherapy; CT, chemotherapy; cCRT, concurrent chemoradiotherapy; TKIs, tyrosine kinase inhibitors.
Table 1.
Characteristics of studies examining chemotherapy without immunotherapy.
| Author/published year | Time range | Study design | Study region | Sample size | Median follow-up (months) | Median age | Males (%) | Never smoking (%) | ECOG 0-2 (%) | Stage III (%) | Primary endpoint/main purpose |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Asian | |||||||||||
| Tsujino/20039 | 1999–2000 | retrospective | Japan | 71 | 8 | 67 | 82 | 13 | NR | 96 | RP |
| Lee/200510 | 2002–2003 | phase 2 | Korea | 31 | 24 | 59 | 85 | NR | 100 | 100 | ORR |
| Kim/200511 | 2000–2002 | phase 2 | Korea | 135 | 24 | 60 | 90 | NR | 100 | 100 | ORR |
| Sekine/200612 | 2001–2003 | prospective | Japan | 93 | 30 | 60 | 82 | NR | 100 | 100 | efficacy, safety |
| Yuan/200713-ENI | 1997–2001 | prospective | China | 100 | 27 | 63 | 64 | NR | 100 | 100 | LCR |
| Yuan/200713-IFI | 1997–2001 | prospective | China | 100 | 27 | 64 | 67 | NR | 100 | 100 | LCR |
| Sekine/200714 | 2003–2004 | phase 1 | Japan | 18 | NR | 63 | 78 | NR | 100 | 100 | safety |
| Naito/200815 | 2000–2004 | retrospective | Japan | 73 | 35 | 63 | 86 | 7 | 100 | 100 | efficacy, safety |
| Hanna/200816 | 2002–2006 | prospective | India | 147 | 42 | NR | NR | NR | 100 | 100 | OS |
| Ohyanagi/200917 | 2005–2007 | phase 2 | Japan | 48 | 25 | 63 | 86 | NR | 100 | 100 | ORR |
| Nakamura/200918 | 1998–2004 | prospective | Japan | 34 | NR | 61 | 94 | NR | 100 | 100 | safety |
| Cho/200919 | 2003–2005 | phase 2 | Korea | 49 | 37 | 64 | 90 | NR | 100 | 100 | OS |
| Harada/200920 | 2002–2006 | retrospective | Japan | 59 | 30 | NR | 80 | NR | 100 | 100 | OS |
| Shi/201021 | 2005–2006 | retrospective | China | 94 | 11 | NR | 78 | 50 | 85 | 100 | RP |
| Ichinose/201122 | 2006–2007 | phase 2 | Japan | 55 | 28 | 63 | 80 | 4 | 100 | 100 | ORR |
| Xu/201123 | 2008–2009 | phase 2 | China | 21 | 15 | 59 | 76 | NR | NR | 100 | ORR,safety |
| Lin/201124 | 2008–2010 | prospective | China | 37 | 12 | 64 | 59 | NR | NR | 65 | safety |
| Kim/201125 | 2000–2010 | retrospective | Korea | 49 | NR | 63 | 90 | 18 | 100 | 100 | RP |
| Wang/201226-EP | 2004–2007 | phase 2 | China | 33 | 46 | 55 | 76 | NR | 100 | 100 | OS |
| Wang/201226-PC | 2004–2007 | phase 2 | China | 32 | 46 | 61 | 79 | NR | 100 | 100 | OS |
| Shukuya/201227-SP | 2002–2010 | retrospective | Japan | 39 | NR | 66 | 87 | 13 | 100 | 100 | efficacy, safety |
| Shukuya/201227-NP | 2002–2010 | retrospective | Japan | 50 | NR | 64 | 74 | 16 | 100 | 100 | efficacy, safety |
| Saitoh/201228 | 2000–2006 | phase 2 | Japan | 116 | 62 | 65 | 85 | NR | 100 | 100 | OS |
| Wang/201229 | 2006–2010 | retrospective | China | 135 | 9 | 60 | 79 | NR | 84 | 97 | RP |
| Chen/201330-IFI | 2002–2011 | prospective | China | 45 | 34 | 56 | 82 | NR | 100 | 100 | efficacy |
| Chen/201330-ENI | 2002–2011 | prospective | China | 54 | 34 | 56 | 89 | NR | 100 | 100 | efficacy |
| Kaira/201331 | 2007–2013 | phase 2 | Japan | 41 | 15 | 64 | 88 | NR | 100 | 100 | ORR |
| Sugawara/201332-UP | 2006–2009 | phase 2 | Japan | 35 | 20 | 62 | 80 | NR | 100 | 100 | ORR |
| Sugawara/201332-NP | 2006–2009 | phase 2 | Japan | 31 | 20 | 61 | 84 | NR | 100 | 100 | ORR |
| Lin/201333 | 2008–2010 | phase 1 | China | 18 | 10 | 67 | 78 | NR | 100 | 78 | safety |
| Oh/201334-TP | 2005–2007 | phase 3 | Korea | 33 | ≥36 | 64 | 91 | 3 | 100 | 100 | ORR |
| Oh/201334-DP | 2005–2007 | phase 3 | Korea | 29 | ≥36 | 62 | 90 | 10 | 100 | 100 | ORR |
| Park/201335 | 2003–2010 | retrospective | Korea | 60 | 21 | 65 | 85 | 13 | 100 | 93 | RP |
| Zhu/201436 | 2006–2008 | phase 2 | China | 34 | 21 | 59 | 85 | NR | 100 | 100 | OS |
| Ji/201437 | 2010–2012 | retrospective | China | 48 | 20 | 58 | 77 | 31 | 96 | 100 | efficacy, safety |
| Dang/201438 | 2009–2013 | retrospective | China | 369 | ≥6 | NR | 71 | 38 | 100 | 100 | RP |
| Tsujino/201439 | 2001–2008 | retrospective | Japan | 122 | 15 | 63 | 89 | 12 | NR | 98 | RP |
| Liu/201540 | 2001–2010 | retrospective | China | 203 | 23 | 56 | 84 | NR | 100 | 100 | efficacy, safety |
| Liang/201541-CTV | 2008–2012 | retrospective | China | 55 | NR | 59 | 76 | NR | 100 | 100 | efficacy, safety |
| LiangG/201541-NCTV | 2008–2012 | retrospective | China | 50 | NR | 62 | 80 | NR | 100 | 100 | efficacy, safety |
| Nogami/201542 | 2006–2009 | phase 2 | Japan | 48 | 54 | 66 | 77 | NR | 100 | 100 | ORR |
| Yao/201543 | 2009–2011 | prospective | China | 20 | NR | 60 | 75 | NR | 100 | 100 | efficacy, safety |
| Takase/201644 | 2006–2014 | retrospective | Japan | 114 | 15 | 61 | 96 | 6 | 100 | 100 | OS,PFS |
| Wang/201645-PP | NR | phase 3 | Multicentre | 44 | NR | 54 | 59 | 52 | 100 | 100 | OS |
| Wang/201645-EP | NR | phase 3 | Multicentre | 46 | NR | 57 | 62 | 43 | 100 | 100 | OS |
| Feng/201646 | 2012–2014 | prospective | China | 36 | NR | 63 | 67 | NR | 100 | 100 | ORR |
| Lin/201647 | 2006–2013 | phase 3 | China | 130 | 23 | NR | 82 | NR | 100 | 100 | ORR |
| Noh/201648-3DRT | 2010–2012 | retrospective | Korea | 48 | 22 | 62 | 73 | 29 | 100 | 100 | PFS,OS |
| Noh/201648-IMRT | 2010–2012 | retrospective | Korea | 29 | 22 | 59 | 62 | 41 | 100 | 100 | PFS,OS |
| He/201649 | 2011–2013 | retrospective | China | 35 | 26 | NR | 86 | NR | 100 | 100 | efficacy, safety |
| Hasegawa/201650 | 2013–2014 | prospective | Japan | 10 | 8 | 73 | 90 | 10 | 100 | 100 | ORR |
| Oh/201751 | 2003–2012 | retrospective | Korea | 204 | NR | NR | 70 | NR | 100 | 100 | OS |
| Liang/201752-EP | 2007–2011 | phase 3 | China | 95 | 73 | 59 | 84 | 26 | 100 | 100 | OS |
| Liang/201752-PC | 2007–2011 | phase 3 | China | 96 | 73 | 57 | 89 | 24 | 100 | 100 | OS |
| Ding/201753 | 2010–2015 | retrospective | China | 40 | NR | 64 | 73 | 25 | 100 | 100 | RP |
| Lee/201754 | 2010–2015 | retrospective | Korea | 61 | 12 | 68 | 92 | 28 | 100 | 100 | RP |
| Xu/201755 | 2009–2012 | retrospective | China | 87 | 25 | 61 | 89 | 17 | 100 | 100 | efficacy, safety |
| Sasaki/201856-SP | 2009–2011 | phase 2 | Japan | 54 | 32 | 60 | 78 | 11 | 100 | 100 | OS |
| Sasaki/201856-NP | 2009–2011 | phase 2 | Japan | 54 | 32 | 62 | 80 | 13 | 100 | 100 | OS |
| Jiang/201857-NS | 2009–2014 | retrospective | China | 47 | 41 | 57 | 94 | NR | 100 | 100 | efficacy, safety |
| Jiang/201857-S | 2009–2014 | retrospective | China | 50 | 41 | 57 | 94 | NR | 100 | 100 | efficacy, safety |
| Taira/201858 | 2005–2010 | phase 2 | Japan | 39 | 70 | 66 | 80 | 10 | 100 | 100 | OS |
| Xiao/201859 | NR | prospective | China | 42 | 9 | NR | 67 | 36 | 100 | 100 | RP |
| Bi/201960 | 2011–2015 | phase 2 | China | 51 | 50 | 60 | 76 | 24 | 100 | 100 | OS |
| Zhou/201961 | 2013–2019 | retrospective | China | 122 | NR | 61 | 88 | 18 | 100 | 100 | RP |
| Wang/201962-SIB | 2014–2016 | retrospective | China | 128 | 25 | 62 | 79 | 29 | 100 | 100 | OS,PFS |
| Wang/201962-IMRT | 2014–2016 | retrospective | China | 298 | 25 | 62 | 80 | 23 | 100 | 100 | OS,PFS |
| Sakaguchi/201963 | 2011–2018 | retrospective | Japan | 73 | NR | 69 | 85 | NR | 100 | 100 | efficacy, safety |
| Sheng/201964 | 2010–2017 | retrospective | China | 328 | NR | 62 | 92 | NR | NR | 100 | RP |
| Zhao/202065 | 2006–2012 | prospective | China | 69 | 33 | 57 | 78 | NR | 100 | 100 | OS |
| Xu/202066 | 2008–2017 | retrospective | China | 59 | 20 | NR | 97 | 14 | 100 | 100 | efficacy |
| Niho/202067-SP | 2013–2016 | phase 2 | Japan | 52 | 32 | 65 | 67 | 23 | 100 | 100 | PFS |
| Niho/202067-PP | 2013–2016 | phase 2 | Japan | 50 | 32 | 64 | 66 | 24 | 100 | 100 | PFS |
| Fukui/202068 | 2012–2018 | retrospective | Japan | 108 | 21 | 65 | 75 | 10 | 100 | 100 | efficacy, safety |
| Zhang/201069 | 2013–2017 | retrospective | China | 749 | 22 | NR | 82 | 27 | 95 | 100 | efficacy |
| Jung/2020246 | 2018–2019 | retrospective | Korea | 40 | NR | 67 | 90 | 15 | 100 | 100 | PFS |
| Katsui/202070 | 2004–2018 | retrospective | Japan | 45 | 20 | 63 | 91 | 2 | 100 | 100 | RP |
| Shimokawa/202171-SP | 2011–2014 | phase 2 | Japan | 53 | NR | 63 | 79 | 21 | 100 | 100 | OS |
| Shimokawa/202171-DP | 2011–2014 | phase 2 | Japan | 53 | NR | 66 | 77 | 15 | 100 | 100 | OS |
| Park/202172 | 2009–2019 | retrospective | Korea | 40 | 11 | 68 | 80 | NR | 88 | 100 | OS |
| Tanaka/202173 | 2016–2018 | phase 2 | Japan | 28 | 33 | 66 | 96 | NR | 100 | 100 | OS |
| Watanabe/202174-UP | 2010–2017 | phase 2 | Japan | 43 | 54 | 62 | 74 | 9 | 100 | 100 | OS |
| Watanabe/202174-PP | 2010–2017 | phase 2 | Japan | 42 | 54 | 63 | 81 | 14 | 100 | 100 | OS |
| Zhang/202175 | NR | retrospective | China | 57 | 23 | NR | 93 | NR | 100 | 100 | efficacy, safety |
| Meng/202176 | 2017–2019 | retrospective | China | 64 | 18 | 64 | 97 | 8 | NR | 100 | RP |
| Sakaguchi/202177 | 2011–2018 | retrospective | Japan | 103 | NR | 68 | 86 | 9 | 95 | 100 | RP |
| Yang/202178-Train | 2013–2017 | retrospective | China | 356 | 40 | 60 | 82 | 24 | 100 | 100 | efficacy |
| Yang/202178-Test | 2013–2017 | retrospective | China | 177 | 40 | 60 | 85 | 20 | 100 | 100 | efficacy |
| Tsukita/2021247 | 2018–2019 | retrospective | Japan | 20 | 14 | NR | NR | NR | 100 | 100 | RP,PFS |
| Saito/2021248 | 2018–2019 | retrospective | Japan | 77 | 8 | NR | NR | NR | 100 | 84 | RP |
| Jang/2021249 | 2018–2020 | retrospective | Korea | 55 | 12 | 66 | 89 | 18 | NR | 91 | RP |
| Abe/2021250 | 2007–2018 | retrospective | Japan | 76 | 26 | 70 | 86 | NR | NR | 86 | LCR |
| Fujiwara/2021251 | 2016–2019 | phase 2 | Japan | 22 | 15 | NR | NR | NR | 100 | 100 | RP,OS |
| Watanabe/2021252 | 2018–2020 | retrospective | Japan | 16 | 16 | 71 | 73 | NR | NR | NR | RP |
| Kashihara/202179 | 2014–2017 | retrospective | Japan | 145 | 24 | 68 | 72 | NR | 100 | 95 | RP |
| Imano/202180 | 2008–2019 | retrospective | Japan | 124 | NR | 69 | 81 | NR | 100 | NR | RP |
| Wu/202181 | 2014–2015 | retrospective | China | 153 | 10 | 63 | 92 | 39 | 100 | 100 | RP |
| Zhang/202182 | 2017–2019 | retrospective | China | 81 | 23 | 61 | 48 | 65 | NR | 37 | RP |
| Kim/202183 | 2016–2018 | retrospective | Korea | 194 | 22 | 62 | 77 | 23 | 100 | 100 | OS |
| Wu/202284 | 2019–2020 | phase 3 | China | 81 | NR | 64 | 82 | 43 | 100 | 100 | safety |
| Yang/202285 | 2019–2021 | retrospective | China | 91 | NR | 59 | 78 | 29 | 100 | 92 | RP |
| Yang/202278 | 2013–2017 | retrospective | China | 533 | 40 | 60 | 83 | 23 | 100 | 100 | OS |
| He/202286 | 2014–2019 | retrospective | China | 122 | 30 | 62 | 88 | 25 | NR | 100 | OS,safety |
| Kim/202287 | 2020–2017 | phase 3 | Korea | 124 | 71 | 67 | 92 | 11 | 100 | 100 | OS |
| Harada/202288 | NR | phase 2 | Japan | 21 | NR | 67 | 82 | 5 | 100 | 100 | safety |
| Huang/2022253 | 2013–2020 | retrospective | Singapore | 45 | 22 | 66 | 84 | 22 | 100 | 100 | PFS,OS |
| Kim/202289-1 | 2018–2020 | retrospective | Korea | 23 | NR | 65 | 87 | 17 | NR | 74 | RP |
| Kim/202289-2 | 2018–2020 | retrospective | Korea | 31 | NR | 60 | 77 | 19 | NR | 90 | RP |
| Wu/202390 | 2013–2017 | retrospective | China | 113 | 63 | 62 | 87 | 19 | NR | 100 | RP |
| Lee/202391 | 2012–2020 | retrospective | Korea | 317 | 30 | 66 | 16 | NR | 100 | 100 | RP |
| Abe/2023254 | 2008–2022 | retrospective | Japan | 17 | 22 | 68 | 88 | NR | NR | 100 | efficacy |
| Park/2023255 | 2020–2021 | prospective | Korea | 27 | 27 | 69 | 96 | 7 | NR | 100 | PFS OS |
| Park/202392 | 2014–2020 | retrospective | Korea | 294 | 18 | 67 | 93 | 14 | 100 | 100 | PFS OS |
| Non-Asian | |||||||||||
| Rosemman/200293 | 1996–1999 | phase 1-2 | USA | 48 | 43 | 57 | 61 | NR | 100 | 100 | OS |
| Semrau/200394 | 1997–2002 | retrospective | Germany | 33 | NR | 65 | NR | NR | 91 | 70 | efficacy, safety |
| Vergnen'egre/200595 | 2000–2001 | phase 2 | France | 40 | 35 | 55 | 93 | NR | 100 | 100 | ORR |
| Fay/200596 | 1999–2001 | retrospective | Australia | 156 | 14 | NR | 65 | 72 | NR | NR | RP |
| Petris/200597 | 1999–2001 | retrospective | Sweden | 32 | 14 | 63 | 56 | NR | 100 | 100 | safety |
| Gandara/200698-9504 | 1996–1998 | phase 2 | USA | 83 | 71 | 60 | 73 | NR | 100 | 100 | OS |
| Gandara/200698-9019 | 1996–1998 | phase 2 | USA | 50 | 71 | 58 | 82 | NR | 100 | 100 | OS |
| Yom/200699-IMRT | 2002–2005 | retrospective | USA | 68 | 8 | 62 | 59 | 10 | 100 | 90 | RP |
| Yom/200699-3DRT | 2002–2005 | retrospective | USA | 222 | 9 | 61 | 52 | 5 | 100 | 90 | RP |
| Kosmidis/2007100 | 2000–2003 | phase 2 | Greece | 32 | 44 | 63 | 93 | NR | 100 | 100 | efficacy, safety |
| Semrau/2007101 | 1998–2005 | retrospective | Germany | 66 | 13 | 68 | 85 | NR | NR | 88 | efficacy, safety |
| Tell/2008102 | NR | phase 2 | Multicentre | 64 | NR | 63 | 63 | NR | 100 | 100 | efficacy, safety |
| Krzakowski/2008103 | 2002–2003 | phase 2 | Multicentre | 54 | 37 | 58 | 76 | NR | 100 | 100 | ORR |
| Steven/2009104 | 2003–2005 | phase 2 | USA | 20 | 36 | 67 | NR | NR | 100 | 100 | efficacy, safety |
| Crvenkova/2009105-S | 2005–2008 | prospective | Macedonia | 45 | 13 | 59 | 89 | NR | 100 | 100 | OS |
| Crvenkova/2009105-C | 2005–2008 | prospective | Macedonia | 40 | 22 | 57 | 88 | NR | 100 | 100 | OS |
| Kocak/2009106 | 2003–2007 | retrospective | Turkey | 90 | 16 | 60 | 100 | NR | 100 | 100 | ORR |
| Garrido/2009107 | 2001–2006 | phase 2 | Spain | 135 | 23 | 61 | 91 | NR | 100 | 100 | OS |
| Schallier/2009108 | 2001–2005 | phase 2 | Belgium | 64 | 59 | 66 | 80 | NR | 100 | 100 | OS |
| Huber/2010109 | 2002–2003 | phase 1 | Germany | 23 | NR | 59 | 91 | NR | 100 | 100 | OS |
| Jiang/2010110 | 2005–2006 | retrospective | USA | 165 | 17 | 63 | 59 | 5 | NR | 76 | OS,safety |
| Bastos/2010111 | 2004–2007 | phase 2 | USA | 32 | 34 | 58 | 66 | NR | 100 | 100 | OS,safety |
| Barriger/2010112 | 2002–2006 | prospective | USA | 243 | 16 | 63 | 83 | 54 | NR | 100 | RP |
| Descourt/2011113 | 2006–2007 | phase 2 | France | 38 | NR | 57 | 88 | NR | 100 | 100 | ORR |
| Govindan/2011114 | 2005–2008 | phase 2 | USA | 50 | 32 | 65 | 56 | NR | 100 | 100 | OS |
| Shirish/2011115 | 2006–2009 | phase 2 | USA | 28 | 41 | 60 | 68 | NR | 100 | 100 | OS |
| Senan/2011116 | 2004–2005 | phase 2 | Multicentre | 70 | 14 | NR | 83 | NR | 100 | 100 | safety |
| Phernambucq/2011117 | 2003–2008 | retrospective | Netherlands | 89 | 17 | 64 | 60 | NR | 100 | 100 | OS,safety |
| Poudenx/2012118 | 2004–2007 | phase 2 | France | 34 | 39 | 61 | 75 | NR | 100 | 100 | ORR |
| Scotti/2012119 | 2003–2007 | retrospective | Italy | 43 | 18 | 63 | 77 | NR | 100 | 100 | efficacy, safety |
| Phernrmbucq/2012120 | 2003–2010 | retrospective | Netherlands | 87 | NR | 60 | 70 | NR | NR | 100 | RP |
| Yirmibesoglu/2012121 | 2000–2010 | retrospective | USA | 121 | 17 | 60 | 63 | 8 | NR | 86 | RP |
| Stenmark/2012122 | NR | prospective | USA | 58 | 18 | 69 | 88 | 2 | NR | NR | RP |
| Stephanie/2012123 | 2008–2011 | retrospective | Netherlands | 86 | 12 | 67 | NR | NR | NR | 97 | OS,safety |
| Spina/2013124 | 1994–2009 | retrospective | Australia | 105 | NR | 64 | 71 | 9 | 98 | 100 | OS |
| Liew/2013125-PC | 2000–2011 | retrospective | Netherlands | 44 | 52 | 71 | 80 | 7 | 100 | 100 | OS,safety |
| Liew/2013125-EP | 2000–2011 | retrospective | Netherlands | 31 | 52 | 63 | 65 | 3 | 100 | 100 | OS,safety |
| Choy/2013126 | 2007–2009 | phase 2 | USA | 46 | NR | 63 | 65 | NR | NR | 100 | OS |
| Garrido/2013127 | 2001–2006 | phase 2 | Spain | 139 | 57 | 62 | 91 | NR | 100 | 100 | ORR |
| Terry/2013128 | 2004–2011 | retrospective | Netherlands | 121 | 38 | 63 | 69 | NR | 100 | 100 | OS,safety |
| Leprieur/2013129 | 2007–2010 | retrospective | France | 47 | NR | 70 | 79 | 7 | NR | NR | RP |
| Lerouge/2014130 | 2005–2008 | phase 2 | France | 70 | 19 | 61 | 84 | NR | 100 | 100 | ORR |
| Mertsoylu/2014131 | 2006–2012 | retrospective | Turkey | 97 | 24 | 58 | 90 | 4 | 100 | 100 | OS,PFS |
| Juan/2014132 | 2010–2011 | phase 2 | Spain | 48 | 19 | 61 | 90 | 44 | 100 | 100 | efficacy, safety |
| Trinh/2014133 | 2004–2012 | prospective | Australia | 107 | 44 | 65 | 67 | 3 | 100 | 100 | efficacy, safety |
| Bradley/2015134 | 2007–2011 | phase 3 | USA/Canada | 217 | 23 | 64 | 59 | 7 | 100 | 100 | OS |
| Garrido/2015135 | 2009–2011 | phase 2 | Multicentre | 75 | 25 | 61 | 57 | 8 | 100 | 100 | PFS |
| Chajon/2015136 | 2011–2014 | retrospective | France | 21 | 18 | NR | NR | NR | NR | 100 | oesophagitis |
| Jaksic/2015137 | 2011–2016 | retrospective | France | 59 | NR | 65 | 75 | 32 | NR | 88 | efficacy, safety |
| Rodrigues/2015138-SD | 1995–2010 | retrospective | Multicentre | 143 | 89/40 | 61 | 74 | 12 | 100 | 100 | OS |
| Rodrigues/2015138-ID | 1995–2010 | retrospective | Multicentre | 131 | 40 | 61 | 78 | 4 | 100 | 100 | OS |
| Singhal/2015139 | 2008–2013 | phase 2 | Multicentre | 43 | NR | 64 | 67 | NR | 100 | 100 | PFS |
| Scher/2015140 | 2007–2013 | retrospective | USA | 55 | 13 | NR | 49 | NR | NR | 75 | RP |
| Fournel/2016141-I | NR | phase 2 | France | 64 | 77 | 57 | 91 | NR | 100 | 100 | ORR |
| Fournel/2016141-C | NR | phase 2 | France | 63 | 77 | 59 | 87 | NR | 100 | 100 | ORR |
| Ozcelik/2016142-PC | 2004–2014 | retrospective | Turkey | 87 | 13 | 64 | 82 | NR | 100 | 100 | efficacy, safety |
| Ozcelik/2016142-EP | 2004–2014 | retrospective | Turkey | 50 | 13 | 60 | 90 | NR | 100 | 100 | efficacy, safety |
| Ozcelik/2016142-DP | 2004–2014 | retrospective | Turkey | 90 | 13 | 60 | 93 | NR | 100 | 100 | efficacy, safety |
| Flentje/2016143 | 2005–2009 | phase 3 | Germany | 279 | 16 | 60 | 71 | NR | 100 | 100 | PFS |
| Brade/2016144 | 2007–2009 | phase 2 | Canada | 39 | 29 | 62 | 46 | NR | 100 | 100 | OS |
| Yılmaz/2016145 | 2008–2012 | retrospective | Turkey | 82 | 40 | 57 | 96 | NR | 100 | 100 | OS |
| Ling/2016146-ENI | 1994–2014 | retrospective | USA | 65 | 13 | NR | NR | NR | 100 | 100 | OS,safety |
| Ling/2016146-IFI | 1994–2014 | retrospective | USA | 43 | 13 | NR | NR | NR | 100 | 100 | OS,safety |
| Ling/2016146-IMRT | 1994–2014 | retrospective | USA | 37 | 13 | NR | NR | NR | 100 | 100 | OS,safety |
| Sen/2016147-EP | 2004–2012 | retrospective | Turkey | 50 | 27 | 54 | 92 | NR | 100 | 100 | OS,safety |
| Sen/2016147-DP | 2004–2012 | retrospective | Turkey | 55 | 19 | 55 | 96 | NR | NR | 100 | OS,safety |
| Matthew/2016148 | 2000–2007 | retrospective | New Zealand | 43 | 12 | 70 | 56 | NR | NR | 88 | OS,safety |
| Wijsman/2016149 | 2008–2014 | retrospective | Netherlands | 188 | 18 | 63 | 79 | NR | NR | 100 | efficacy, safety |
| Morth/2016150 | 2009–2012 | retrospective | Sweden | 71 | NR | 71 | 46 | 11 | 100 | 92 | RP |
| Hansen/2017151-60Gy | 2009–2013 | phase 2 | Denmark | 59 | 33 | 67 | 61 | 3 | 100 | 100 | PFS |
| Hansen/2017151-66Gy | 2009–2013 | phase 2 | Denmark | 58 | 33 | 65 | 55 | 3 | 100 | 100 | PFS |
| Hughes/2017152 | 2007–2010 | phase 2 | Australia | 27 | 60 | 63 | 56 | NR | 100 | 100 | efficacy, safety |
| Alharbi/2017153 | 2007–2015 | retrospective | Germany | 732 | NR | NR | NR | NR | NR | 100 | RP |
| Soler/2017154 | 2009–2014 | retrospective | Spain | 64 | 16 | 64 | 86 | 6 | NR | 97 | efficacy, safety |
| Okumus/2017155 | 2009–2012 | retrospective | Turkey | 68 | NR | 59 | 93 | 3 | 100 | 91 | OS,safety |
| Rivas/2018156 | 2012–2017 | phase 2 | Spain | 48 | 21 | 60 | 79 | NR | 100 | 100 | ORR |
| Zhang/2018157 | 2004–2014 | phase 1 | UK | 25 | 27 | 61 | 54 | NR | 100 | 100 | safety |
| Liao/2018158 | 2009–2014 | prospective | USA | 92 | 24 | NR | 51 | 10 | 100 | 78 | RP |
| Yegya-Raman/2018159-CBCT | 2007–2015 | retrospective | USA | 76 | 41 | 64 | 61 | NR | 100 | 76 | RP |
| Yegya-Raman/2018159-Okv | 2007–2015 | retrospective | USA | 48 | 76 | 66 | 46 | NR | 100 | 88 | RP |
| Sculier/2018160 | 2007–2013 | phase 3 | Multicentre | 120 | 62 | 60 | 77 | NR | 100 | 100 | OS |
| Topkan/2019161 | 2007–2012 | retrospective | Turkey | 956 | 26 | 63 | 77 | 8 | 100 | 100 | OS |
| Isla/2019162-NP | 2011–2014 | phase 2 | Spain | 69 | 24 | 64 | 87 | 3 | 100 | 97 | PFS |
| Isla/2019162-EP | 2011–2014 | phase 2 | Spain | 71 | 24 | 61 | 86 | 0 | 100 | 97 | PFS |
| Yegya-Raman/2019163 | 2009–2016 | retrospective | USA | 82 | 38 | 65 | 59 | NR | 100 | 74 | PFS |
| Yu/2019164 | 2016–2018 | retrospective | USA | 46 | 11 | 69 | 52 | 20 | 85 | 83 | efficacy, safety |
| Luna/2019165 | 2008–2016 | retrospective | USA | 203 | 23 | 63 | 45 | 8 | 72 | 100 | RP |
| Kaderbhaï/2020166 | 2005–2014 | retrospective | France | 89 | 58 | 63 | 84 | 6 | 100 | 100 | efficacy, safety |
| Nestle/2020167-Con | 2009–2016 | prospective | Germany | 99 | 29 | 64 | 72 | NR | 100 | 94 | PFS |
| Nestle/2020167-PET | 2009–2016 | prospective | Germany | 105 | 29 | 66 | 74 | NR | 100 | 92 | PFS |
| Ergen/2020168 | 2009–2015 | retrospective | Turkey | 268 | ≥6 | 60 | 89 | 12 | 100 | 94 | RP |
| Harris/2020169 | 2011–2016 | retrospective | USA | 78 | NR | 65 | 39 | 17 | NR | 100 | RP |
| Spencer/2021170 | 2011–2014 | retrospective | UK | 141 | 21 | 63 | 54 | NR | 96 | 100 | OS,safety |
| Remmerts de Vries/2021171 | 2015–2017 | retrospective | Netherlands | 64 | 29 | 67 | 50 | 5 | 100 | 100 | OS,safety |
| Owen/2021172-3DRT | 2007–2013 | retrospective | USA | 58 | NR | NR | 78 | NR | NR | 79 | RP |
| Owen/2021172-VMAT | 2007–2013 | retrospective | USA | 30 | NR | NR | 60 | NR | NR | 93 | RP |
| Provencio/2021173 | 2017–2018 | phase 2 | Spain | 54 | 29 | 62 | 77 | 5 | 100 | 100 | PFS |
| Tsakiridis/2021174 | 2014–2019 | phase 2 | Canada | 28 | NR | 65 | 43 | NR | 100 | 100 | efficacy |
| Skinner/2021175 | 2014–2016 | phase 2 | Canada | 75 | 28 | 64 | 59 | NR | 100 | 100 | OS,safety |
| Mantel/2021176 | 2010–2018 | retrospective | Germany | 138 | 18 | 63 | 68 | NR | NR | 83 | LCR,safety |
| Lim/2021177 | 2015–2018 | phase 2 | USA | 19 | 24 | 68 | 45 | 5 | NR | 84 | RP |
| Lutz/2021178-60Gy | 2009–2013 | prospective | Denmark | 59 | NR | 67 | 61 | 5 | 100 | 88 | RP |
| Lutz/2021178-66Gy | 2009–2013 | prospective | Denmark | 58 | NR | 65 | 55 | 5 | 100 | 95 | RP |
| McFarlane/2021179 | 2012–2019 | prospective | USA | 1302 | NR | 68 | 51 | 4 | NR | 84 | RP |
| Szejniuk/2021180 | 2012–2016 | prospective | Denmark | 41 | 12 | 66 | 56 | 5 | 100 | 78 | RP |
| Bourbons/2021181 | 2015–2018 | retrospective | France | 165 | ≥12 | 65 | 67 | NR | 100 | 100 | RP |
Abbreviations: ECO, Eastern Cooperative Oncology Group; OS, overall survival; PFS, progression-free survival; ORR, objective response rate; LCR, local control rate; RP, radiation pneumonitis; NR, not reported.
Table 2.
Characteristics of studies examining chemotherapy with immunotherapy.
| Author/published year | Time range | Study design | Study region | Sample size | Median follow-up (months) | Median age | Males (%) | Never smoking (%) | ECOG 0-2 (%) | Stage III (%) | Primary endpoint/main purpose |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Asian | |||||||||||
| Jung/2020246 | 2018–2019 | retrospective | Korea | 21 | NR | 66 | 90 | 24 | 100 | 100 | PFS |
| Zhang/2020182 | 2018–2020 | prospective | China | 20 | 11 | 61 | 80 | 30 | NR | 95 | efficacy, safety |
| Saito/2020183 | 2018–2019 | retrospective | Japan | 36 | 7 | 72 | 75 | NR | NR | 75 | RP |
| Miura/2020184 | 2018–2019 | retrospective | Japan | 41 | 23 | 72 | 80 | 20 | 100 | 100 | Safety |
| Inoue/2020185 | 2018–2019 | retrospective | Japan | 30 | 8 | 68 | 63 | 23 | NR | 100 | pneumonitis |
| Chu/2020186 | 2018–2019 | retrospective | China | 31 | NR | 64 | 84 | 26 | 100 | 100 | PFS |
| Tsukita/2021247 | 2018–2019 | retrospective | Japan | 87 | 14 | 70 | 71 | 14 | 100 | 100 | pneumonitis |
| Saito/2021248 | 2018–2019 | retrospective | Japan | 225 | 8 | NR | NR | NR | 100 | 84 | pneumonitis |
| Jang/2021249 | 2018–2020 | retrospective | Korea | 51 | 12 | 62 | 78 | 28 | 100 | 90 | RP |
| Oshiro/2021187 | 2018–2020 | retrospective | Japan | 91 | 15 | 68 | 74 | 10 | 98 | 90 | pneumonitis |
| Shintani/2021188 | 2018–2019 | retrospective | Japan | 146 | 16 | 70 | 82 | 14 | 100 | 86 | RP |
| Abe/2021250 | 2018–2019 | retrospective | Japan | 44 | 17 | 73 | 77 | NR | NR | 82 | PFS/OS |
| Abe/2021189 | 2019–2020 | retrospective | Japan | 20 | 8 | 71 | 75 | NR | NR | 90 | pneumonitis |
| Fujiwara/2021251 | 2016–2019 | prospective | Japan | 20 | 15 | NR | NR | NR | 100 | 100 | RP |
| Watanabe/2021252 | 2018–2020 | retrospective | Japan | 21 | 16 | NR | NR | NR | NR | NR | pneumonitis |
| Sugimoto/2022190 | 2019 | prospective | Japan | 35 | 16 | 69 | 72 | 11 | 100 | 100 | safety |
| Mayahara/2022191 | 2018–2019 | retrospective | Japan | 56 | 14 | 72 | 66 | 20 | 100 | 100 | RP |
| Yamamoto/2022192 | 2016–2021 | retrospective | Japan | 36 | 14 | 71 | 81 | 13 | 100 | NR | PFS |
| Zhou/2022193 | 2018–2020 | prospective | China | 255 | 14 | 61 | 93 | 16 | 100 | 100 | PFS |
| Tanzawa/2022194 | 2019–2020 | prospective | Japan | 51 | 22 | 68 | 86 | 9 | 100 | 100 | PFS |
| Huang/2022253 | 2013–2020 | retrospective | Singapore | 39 | 15 | 64 | 80 | 21 | 100 | 100 | PFS,OS |
| Araki/2022195 | 2018–2021 | retrospective | Japan | 76 | 17 | 70 | 71 | 17 | 100 | 100 | PFS,OS |
| Nishimura/2022196 | 2018–2020 | retrospective | Japan | 82 | 15 | 70 | 66 | 18 | NR | 100 | pneumonitis |
| Harada/2022197 | 2018–2020 | retrospective | Japan | 26 | 15 | 66 | 77 | 12 | 100 | 100 | pneumonitis |
| Kawanaka/2022198 | 2012–2019 | retrospective | Japan | 20 | NR | NR | NR | NR | 100 | 100 | RP,PFS |
| Lu/2022199 | 2016–2021 | retrospective | China | 196 | 18 | 61 | 82 | 27 | 94 | 78 | pneumonitis |
| Abe/2022200 | 2020–2021 | retrospective | Japan | 28 | 14 | 71 | 71 | 14 | 100 | 100 | RP |
| Nakamichi/2022201 | 2020 | prospective | Japan | 47 | NR | 65 | 87 | NR | 100 | 100 | PFS |
| Mamesaya/2022202 | 2019–2021 | prospective | Japan | 29 | NR | NR | NR | NR | 100 | 100 | ORR |
| Morimoto/2022203 | 2018–2019 | retrospective | Japan | 34 | 13 | 73 | 73 | NR | 100 | 74 | NR |
| Abe/2023254 | 2008–2022 | retrospective | Japan | 12 | 14 | 70 | 67 | NR | NR | 100 | efficacy, safety |
| Park/2023255 | 2020–2021 | prospective | Korea | 23 | 27 | 67 | 87 | 4 | NR | 100 | PFS,OS |
| Wang/2023204 | 2018–2022 | retrospective | China | 75 | 22 | 65 | 89 | 16 | 100 | 100 | PFS,OS |
| Park/2023205 | 2018–2020 | retrospective | Korea | 157 | 19 | 65 | 85 | 20 | 98 | 100 | PFS |
| Non-Asian | |||||||||||
| Lin/2019206 | 2016–2018 | prospective | USA | 40 | 15 | 67 | 68 | 22 | 100 | 85 | safety |
| Shaverdian/2020207 | 2017–2019 | retrospective | USA | 62 | 13 | 66 | 58 | 3 | 100 | 100 | RP |
| Durm/2020208 | 2015–2016 | prospective | USA | 92 | 32 | 66 | 64 | 5 | NR | 100 | TMDD |
| Faehling/2020209 | 2017–2018 | retrospective | Germany | 126 | 25 | 62 | 65 | 4 | 100 | 94 | efficacy, safety |
| Offin/2020210 | 2017–2019 | retrospective | USA | 62 | 12 | 66 | 58 | 3 | 100 | 100 | efficacy, safety |
| Hassanzadeh/2020211 | 2017–2019 | retrospective | USA | 34 | 12 | 68 | 54 | 5 | 100 | 94 | pneumonitis |
| Yan/2020212 | 2017–2019 | prospective | USA | 25 | NR | 62 | NR | NR | NR | 100 | safety |
| Moore/2020213 | 2018–2019 | retrospective | Canada | 39 | NR | 69 | NR | NR | NR | 100 | pneumonitis |
| Jain/2020214 | 2018–2019 | retrospective | UK | 28 | 21 | NR | NR | NR | NR | 100 | efficacy, safety |
| Jegannathen/2020215 | 2018–2019 | retrospective | Multicentre | 18 | NR | NR | 44 | 22 | NR | 100 | efficacy, safety |
| Landman/2021216 | 2018–2020 | retrospective | Israel | 39 | 20 | 67 | 64 | 15 | 100 | 100 | PFS,OS |
| Jabbour/2021217-PC | 2018–2020 | prospective | Multicentre | 112 | 19 | 66 | 68 | 5 | 100 | 100 | ORR/pneumonitis |
| Jabbour/2021217-PP | 2018–2020 | prospective | Multicentre | 102 | 14 | 64 | 61 | 5 | 100 | 100 | ORR,pneumonitis |
| Peters/2021218 | 2016–2018 | prospective | Multicentre | 77 | 21 | 62 | 67 | 4 | 100 | 100 | PFS,OS |
| Desilets/2021219 | 2018–2019 | retrospective | Canada | 147 | 16 | 67 | 67 | 10 | 100 | 100 | PFS,OS,safety |
| Taugner/2021220 | 2018–2020 | retrospective | Germany | 26 | 21 | 68 | 65 | NR | NR | 96 | PFS,OS |
| Bruni/2021221 | 2018–2020 | retrospective | Italy | 155 | 14 | 66 | 70 | 36 | 100 | 100 | PFS,OS,safety |
| Jabbour/2021222 | 2016–2018 | prospective | USA | 21 | 16 | 70 | 48 | 5 | 100 | 100 | safety |
| Kartolo/2021223 | 2018–2020 | retrospective | Canada | 63 | 17 | NR | 51 | 5 | NR | 100 | OS |
| Sally/2021224 | 2018–2020 | retrospective | Canada | 82 | NR | NR | NR | NR | NR | 100 | PFS,OS,safety |
| Kauffmann-Guerrero/2021225 | NR | prospective | Germany | 38 | NR | NR | NR | NR | NR | 100 | pneumonitis |
| Ross/2021226 | 2017–2019 | prospective | USA | 64 | 24 | 64 | 48 | 11 | 100 | 100 | DCR |
| Koffer/2021227 | NR | retrospective | USA | 40 | 19 | NR | NR | NR | NR | 90 | pneumonitis |
| Hanayneh/2021228 | NR | retrospective | USA | 119 | NR | NR | NR | NR | NR | NR | pneumonitis |
| Gao/2022229 | 2018–2021 | retrospective | USA | 190 | 15 | 67 | 49 | 0 | 100 | 90 | pneumonitis |
| Herbst/2022230 | 2019–2020 | phase 2 | Multicentre | 183 | 12 | 65 | 68 | 7 | 100 | 100 | ORR |
| LeClair/2022231 | 2018–2019 | retrospective | USA | 83 | NR | 70 | 58 | 2 | 100 | 100 | pneumonitis |
| Saad/2022232 | 2017–2020 | retrospective | Israel | 71 | 19 | 67 | 63 | 10 | 91 | 100 | PFS,OS,safety |
| Garassino/2022233 | 2019–2020 | prospective | Multicentre | 117 | 13 | 68 | 62 | 8 | 100 | 100 | safety |
| Raez/2022234 | 2018–2021 | retrospective | Multicentre | 125 | 20 | 66 | 47 | 17 | 100 | 100 | safety |
| Guberina/2022235 | 2017–2020 | retrospective | Germany | 39 | 26 | 62 | 67 | 5 | NR | 100 | safety |
| Riudavets/2022236 | 2015–2020 | retrospective | Multicentre | 323 | 19 | 66 | 71 | 6 | 100 | 100 | PFS,OS |
| Denault/2022237 | 2018–2020 | retrospective | Canada | 205 | NR | NR | 56 | 9 | 100 | 100 | OS |
| Stevens/2022238 | 2018–2021 | retrospective | Australian | 145 | 19 | 67 | 63 | NR | 100 | 100 | safety |
| Gabelica/2022239 | 2019–2020 | retrospective | Croatia | 42 | NR | 63 | 79 | NR | NR | NR | NR |
| Rimner/2022240 | 2019–2021 | prospective | USA | 27 | 12 | 82 | NR | NR | 100 | 93 | PFS |
| Tavara/2022241 | 2018–2021 | retrospective | Spain | 37 | 20 | 67 | 78 | 49 | NR | 100 | NR |
| Saade/2022242 | 2018–2022 | retrospective | USA | 14 | NR | 65 | 50 | 25 | NR | 100 | pneumonitis |
| Girard/2023243 | 2017–2021 | retrospective | Multicentre | 1399 | 24 | 66 | 67 | 8 | 99 | 95 | PFS |
| Diamond/2023244 | 2018–2021 | retrospective | USA | 62 | 17 | 67 | 48 | 0 | NR | 90 | pneumonitis |
| Käsmann/2023245-Niv | 2016–2020 | prospective | Germany | 11 | 23 | 59 | 73 | NR | 100 | 100 | PFS,OS,safety |
| Käsmann/2023245-Dur | 2016–2020 | prospective | Germany | 28 | 27 | 68 | 71 | NR | 100 | 100 | PFS,OS,safety |
Abbreviations: EOCG, Eastern Cooperative Oncology Group; OS, overall survival; PFS, progression-free survival; ORR, objective response rate; TMDD, time to metastatic disease or death; RP, radiation pneumonitis; NR, not reported.
Assessment of included studies and publication bias
All studies had a score of ≥8 by the MINORS quality assessment (ranged from 8 to 14), suggesting moderate to high quality of them (Supplementary File: Table S4).
The Begg's and Egger's test indicated significant publication bias (P < 0.05 for most of the pneumonitis outcomes) (Supplementary File: Table S5).
Comparison of rates of pneumonitis between Asian and non-Asian patients treated with CRT without immunotherapy
All studies
The pooled rates of all-grade (66.8%, 95% CI: 59.2%–73.9% vs. 28.1%, 95% CI: 20.4%–36.4%; P < 0.0001), grade ≥2 (25.1%, 95% CI: 22.9%–27.3% vs. 14.9%, 95% CI: 12.0%–18.0%; P < 0.0001), grade ≥3 (6.5%, 95% CI: 5.6%–7.3% vs. 4.6%, 95% CI: 3.4%–5.9%; P = 0.015), and grade 5 (0.6%, 95% CI: 0.3%–0.9% vs. 0.1%, 95% CI: 0.0%–0.2%; P < 0.0001) pneumonitis were significantly higher in Asian patients than that in non-Asian patients (Fig. 2).
Fig. 2.
Comparison of rates of pneumonitis between Asian and non-Asian patients treated with CRT without immunotherapy. CRT, chemoradiotherapy; cCRT, concurrent chemoradiotherapy; IFI, involved-field irradiation; No., number; CI, confidence intervals. P-values of <0.05 were defined as statistically significant.
Subgroup of studies published after 2015
Similar to the results from all studies, the pooled rates of pneumonitis in Asian patients were significantly higher than that in non-Asian studies (all grade: 65.9%, 95% CI: 56.5%–74.7% vs. 27.3%, 95% CI: 18.6%–37.0%, P < 0.0001; grade ≥2: 25.2%, 95% CI: 22.8%–27.6% vs. 15.0%, 95% CI: 11.5%–19.0%, P < 0.0001; grade ≥3: 6.8%, 95% CI: 5.8%–7.8% vs. 4.4%, 95% CI: 2.9%–6.2%, P = 0.019; grade 5: 0.6%, 95% CI: 0.3%–0.9% vs. 0.01%, 95% CI: 0.0%–0.1%, P < 0.0001) (Fig. 2).
Subgroup of prospective studies
The pooled rates of all-grade (54.3%, 95% CI: 44.5%–63.9% vs. 24.4%, 95% CI: 15.2%–34.9%; P < 0.0001), grade ≥2 (21.3%, 95% CI: 17.6%–25.2% vs. 11.9%, 95% CI: 7.5%–17.1%; P = 0.0046), and grade 5 (0.6%, 95% CI: 0.3%–1.1% vs. 0.04%, 95% CI: 0.0%–0.2%; P = 0.0006) pneumonitis rates were significantly higher in Asian patients than that in non-Asian patients. Rate of grade ≥3 pneumonitis was also numerically high in Asian vs. Non-Asian (6.0%, 95% CI: 4.7%–7.4% vs. 4.1%, 95% CI: 2.5%–5.9%), but without statistical significance (P = 0.068) (Fig. 2).
We also performed a subgroup analysis of phase 3 trials (Supplementary File: Figure S1). Numerically high rates of pneumonitis were observed for Asian vs. non-Asian (all grade: 48.0%, 95% CI: 32.9%–63.2% vs. 41.7%, 95% CI: 32.9%–50.5%; P = 0.48; grade ≥2: 19.1%, 95% CI: 7.8%–30.3% vs. 12.0%, 95% CI: 0.4%–23.6%; P = 0.39; grade ≥3: 7.3%, 95% CI: 4.1%–10.6% vs. 3.8%, 95% CI: 1.4%–6.2%; P = 0.091; grade 5: 2.2%, 95% CI: 1.0%–3.8% vs. 0.1%, 95% CI: 0.0%–0.6%; P < 0.0001), but without statistical significance (except grade 5) (Fig. 2).
Subgroup of retrospective studies
Similar to the results from prospective studies, Asian patients were associated with higher rates of all-grade (79.4%, 95% CI: 71.2%–86.6% vs. 33.3%, 95% CI: 20.8%–47.0%; P < 0.0001), grade ≥2 (27.4%, 95% CI: 24.7%–30.0% vs. 17.0%, 95% CI: 13.9%–20.1%; P < 0.0001), and grade 5 (0.6%, 95% CI: 0.3%–1.0% vs. 0.08%, 95% CI: 0.0%–0.3%; P = 0.002) pneumonitis compared to non-Asian patients, but with no significant difference in rate of grade ≥3 pneumonitis (6.9%, 95% CI: 5.8%–8.0% vs. 5.2%, 95% CI: 3.5%–7.3%; P = 0.15) (Fig. 2).
Subgroup of patients undergoing cCRT
There were also higher rates of all-grade (65.5%, 95% CI: 57.2%–73.4% vs. 26.4%, 95% CI: 18.7%–35.0%; P < 0.0001), grade ≥2 (24.7%, 95% CI: 21.8%–27.7% vs. 13.3%, 95% CI: 10.0%–16.9%; P < 0.0001), and grade 5 (0.6%, 95% CI: 0.3%–0.9% vs. 0.04%, 95% CI: 0.0%–0.2%; P < 0.0001) pneumonitis in Asian patients than that in non-Asian patients, and without significant difference in rate of grade ≥3 pneumonitis (6.0%, 95% CI: 5.0%–7.0% vs. 4.7%, 95% CI: 3.4%–6.1%; P = 0.10) (Fig. 2).
Subgroup of patients undergoing CRT with IFI
Similarly, Asian patients were associated with higher rates of all-grade (66.0%, 95% CI: 57.0%–74.4% vs. 31.9%, 95% CI: 18.7%–46.9%; P = 0.0001), grade ≥2 (24.0%, 95% CI: 21.3%–26.7% vs. 15.1%, 95% CI: 12.1%–18.1%; P < 0.0001), and grade 5 (0.4%, 95% CI: 0.2%–0.8% vs. 0.1%, 95% CI: 0.0%–0.3%; P = 0.014) pneumonitis compared to non-Asian patients, but with no significant difference in rate of grade ≥3 pneumonitis (7.1%, 95% CI: 5.9%–8.3% vs. 5.2%, 95% CI: 3.5%–7.1%; P = 0.09) (Fig. 2).
Comparison of pneumonitis rates between Asian and non-Asian patients undergoing CRT plus immunotherapy
All studies
The pooled rates of all-grade (74.8%, 95% CI: 63.7%–84.5% vs. 34.3%, 95% CI: 28.7%–40.2%; P < 0.0001) and grade ≥2 (34.0%, 95% CI: 30.7%–37.3% vs. 24.6%, 95% CI: 19.9%–29.3%; P = 0.001) pneumonitis were significantly higher in Asian patients than that in non-Asian patients; while there were no significant differences in rates of grade ≥3 (4.7%, 95% CI: 3.6%–5.9% vs. 6.0%, 95% CI: 4.7%–7.5%; P = 0.24) and grade 5 (0.1%, 95% CI: 0.0%–0.5% vs. 0.1%, 95% CI: 0.0%–0.2%; P = 0.28) pneumonitis (Fig. 3).
Fig. 3.
Comparison of rates of pneumonitis between Asian and non-Asian patients treated with CRT plus immunotherapy. CRT, chemoradiotherapy; cCRT, concurrent chemoradiotherapy; No., number; CI, confidence intervals. P-values of <0.05 were defined as statistically significant.
Subgroup of prospective studies
Different from the results of all studies, only rate of all-grade pneumonitis was significantly higher in Asian patients than in non-Asian patients (70.7%, 95% CI: 47.6%–86.6% vs. 38.9%, 95% CI: 23.9%–56.4%; P = 0.031), but with no significant differences in the rates of grade ≥2 (26.5%, 95% CI: 15.4%–37.6% vs. 23.8%, 95% CI: 16.1%–31.5%; P = 0.69), grade ≥3 (2.8%, 95% CI: 1.2%–4.4% vs. 5.3%, 95% CI: 3.3%–7.3%; P = 0.058) and grade 5 (0.0%, 95% CI: 0.0%–0.6% vs. 0.4%, 95% CI: 0.0%–1.3%; P = 0.25) pneumonitis (Fig. 3).
Subgroup of retrospective studies
Similar to the results from all studies, Asian patients were associated with higher rates of all-grade (76.2%, 95% CI: 65.8%–85.2% vs. 32.5%, 95% CI: 26.2%–39.1%; P < 0.0001) and grade ≥2 (35.1%, 95% CI: 31.8%–38.3% vs. 24.5%, 95% CI: 18.9%–30.2%; P = 0.002) pneumonitis compared non-Asian patients, but without significant differences in rates of grade ≥3 (5.4%, 95% CI: 4.2%–6.8% vs. 6.2%, 95% CI: 4.6%–7.9%; P = 0.79) and grade 5 (0.2%, 95% CI: 0.0%–0.7% vs. 0.1%, 95% CI: 0.0%–0.2%; P = 0.089) pneumonitis (Fig. 3).
Subgroup of patients undergoing cCRT with consolidation durvalumab
Consistently, the rates of all-grade (78.6%, 95% CI: 68.9%–86.9% vs. 35.0%, 95% CI: 27.8%–42.6%; P < 0.0001) and grade ≥2 (34.4%, 95% CI: 31.6%–37.1% vs. 25.6%, 95% CI: 19.3%–31.8%; P = 0.011) pneumonitis rates were significantly higher in Asian vs. non-Asian patients; there were no significant differences in rates of grade ≥3 (5.2%, 95% CI: 3.9%–6.7% vs. 6.0%, 95% CI: 4.4%–7.6%; P = 0.86) and grade 5 (0.1%, 95% CI: 0.0%–0.5% vs. 0.1%, 95% CI: 0.0%–0.3%; P = 0.22) pneumonitis (Fig. 3).
Comparison of grade ≥2 pneumonitis between Asian and non-Asian patients based on lung V20/MLD
There were 37 studies of Asian and 26 studies of non-Asian reporting data of V20 as well as the incidence of grade ≥2 pneumonitis for the study population. Among these studies, the pooled median/mean of V20 for Asian was 23.0% (IQR, 20.0%–25.7%) vs. 27.9% (IQR, 25.9%–30.0%) for non-Asian, with the pooled rate of grade ≥2 pneumonitis of 30.3% (95% CI, 27.0%–33.6%) vs. 22.3% (95% CI, 18.2%–26.4%, P = 0.003) (Fig. 4). In addition, there were 25 studies of Asian and 30 studies of non-Asian providing data of MLD (the pooled median/mean of 13.6 Gy [IQR, 11.9Gy–15.1Gy] vs. 16.0 Gy [IQR, 14.9Gy–17.2Gy]) with the incidence of grade ≥2 pneumonitis of 32.5% (95% CI, 28.4%–37.0%) vs. 20.7% (95% CI, 16.4%–25.4%, P = 0.0002) (Fig. 4).
Fig. 4.
Comparison of grade ≥2 pneumonitis between Asian and non-Asian patients based on lung V20/MLD. V20, lung volume receiving ≥20 Gy, MLD, lung mean dose; No., number; CI, confidence intervals; IQR, interquartile range. P-values of <0.05 were defined as statistically significant.
The forest plots for the results
The forest plots for all results of meta-analysis are presented in Supplementary File: Figure S2–S47.
Heterogeneity
There were significant heterogeneity among studies, particularly for all-grade (I2 range, 90%–97%) and grade ≥2 (I2 range, 11%–94%) pneumonitis. The heterogeneity reduced somewhat in some subgroup analyses (Figs. 2 and 3). No significant heterogeneity were observed for grade 5 pneumonitis (I2 range, 0%–40%) (Figs. 2 and 3).
Meta-regression analysis
Meta-regression was conducted to investigate the influence of sex, smoking status, and stage on the incidence of pneumonitis (Supplementary File: Table S6). Due to too many missing data, we carried out meta-regression analyses with race (Asian) and then sex (model 1), smoking (model 2), and stage (model 3) separately as predictors of pneumonitis. As for CRT alone, race was significantly associated with the incidence of pneumonitis (P < 0.05 for each result), except grade ≥3 pneumonitis (P = 0.91) in model 2; sex significantly influenced the incidence of grade ≥2 (P = 0.01) and grade ≥3 (P = 0.03) pneumonitis; stage was an predictor of grade ≥2 pneumonitis (P = 0.01). Regarding CRT plus immunotherapy, race and sex were predictors of all-grade and grade ≥2 pneumonitis (P < 0.05 for each result).
Discussion
This study summarized incidence of pneumonitis after definitive CRT with or without immunotherapy in Asian and non-Asian patients with LA-NSCLC, respectively. As for CRT without immunotherapy, the pooled incidence rates of all-grade (66.8% vs. 28.1%, P < 0.0001), grade ≥2 (25.1% vs. 14.9%, P < 0.0001), grade ≥3 (6.5% vs. 4.6%, P < 0.015), and grade 5 (0.6% vs. 0.1%, P < 0.0001) pneumonitis were significantly higher in Asian than that in non-Asian patients. Regarding CRT plus immunotherapy, significantly higher rates of all-grade (74.8% vs. 34.3%, P < 0.0001) and grade ≥2 (34.0% vs. 24.6%, P = 0.001) pneumonitis was observed in Asian than in non-Asian patients; while, there were no significant differences in rates of grade ≥3 (4.7% vs. 6.0%, P = 0.24) and grade 5 (0.1% vs. 0.1%, P = 0.28) pneumonitis between the two population.
One of the explanations for the difference in incidence of pneumonitis is different genetic backgrounds between Asian and non-Asian patients, such as ethnic difference in single nucleotide polymorphisms (SNPs) of the TGF-β1 gene,256,257 epidermal growth factor receptor (EGFR) mutations,258 and Toll-like receptor 2 (TLR2) and TLR4 gene polymorphisms.259 For example, TGF-β1 rs1982073:T869C gene has been demonstrated to be associated with lower risk of radiation pneumonitis (RP) in white but not in Chinese NSCLC patients treated with definitive CRT.256,257 In addition, EGFR mutations are more common in Asian patients than in non-Asian patients with NSCLC (38.4% vs. 14.1%),258 and patients with EGFR mutations were found to have a higher risk of pneumonitis compared to EGFR wild-type patients (11.0% vs. 3.8%) in the subgroup analysis of PACIFIC study.4
However, there is also a possibility that Asian patients received higher lung dose than non-Asian patients, leading to the higher incidence of pneumonitis. In the present meta-analysis, a total of 63 studies reported the median/mean of lung V20 and 55 studies reported median/mean of MLD for the study population. In these studies, we found that although the pooled median/mean of V20 was relatively low for studies of Asian compared to that for studies of non-Asian (23% vs. 27.9%), rate of grade ≥2 pneumonitis was significantly higher in Asian vs. non-Asian studies (30.3% vs. 22.3%, P = 0.003). Similarly, the pooled median/mean MLD was 13.6Gy for Asian studies vs. 16.0Gy for non-Asian studies, with rate of grade ≥2 pneumonitis of 32.5% vs. 20.7% (P < 0.0002). These findings suggested the poor tolerance of lung to radiation in Asian patients.
It should be noted that there were no ethnic differences in rates of grade ≥3 and grade 5 pneumonitis in patients treated with CRT plus immunotherapy. Differences in ICI drugs used and combination therapy strategy adopted between Asian and non-Asian studies might account for the results, at least in part. For studies of Asian, cCRT followed by consolidation durvalumab was the common regimen. However, PD-1 inhibitors (pembrolizumab or nivolumab) and concurrent CRT and ICIs strategy were frequently adopted in the studies of non-Asian, which might result in the increased lung toxicity, leading to the comparable incidence of grade ≥3 pneumonitis to Asian patients. Nevertheless, there was also a possibility that Asian patients were only associated with an increased risk of moderate pneumonitis (grade 2) but not severe pneumonitis (grade 3–5) compared to non-Asian patients in the case of CRT plus immunotherapy.
There were significant heterogeneity among studies. To explore potential sources of heterogeneity, we conducted a number of subgroup analyses for both CRT alone and CRT plus immunotherapy. As for CRT alone, results from these subgroup analyses were similar to that from the all studies. Regarding CRT plus immunotherapy, subgroup analyses of retrospective studies and studies of cCRT followed by durvalumab showed comparable results to the all studies. However, rate of grade ≥2 pneumonitis in prospective studies was similar between Asian and non-Asian patients (26.5% vs. 23.8%, P = 0.69), which appeared to be due to the limited number of studies and small sample size in this subgroup. Overall, the findings from the subgroup analyses further supported that Asian patients were more likely to have a higher risk of pneumonitis compared to non-Asian patients.
To our knowledge, the present study is the first and most comprehensive meta-analysis focusing on ethnic differences in the incidence of post-chemoradiotherapy pneumonitis for patients with locally advanced NSCLC. It included a total of 248 studies involving 28,267 patients, and summarized the rates of all-grade, grade ≥2, grade ≥3, and grade 5 pneumonitis, respectively. In addition, a comprehensive subgroup analyses were conducted, with the results generally in agreement with that from the overall study population. Nevertheless, there are some limitations in this meta-analysis. First, due to lack of RCTs and cohort studies directly comparing the incidence of pneumonitis between Asian and non-Asian patients, this meta-analysis was performed based on cross-study comparisons between single-arm studies. This methodological limitation prevented us from drawing a firm conclusion. Second, pneumonitis grading criteria adopted in individual studies were inconsistent, which might result in bias in collection and reporting of pneumonitis. Third, the majority of studies reported incidence of pneumonitis during the study period. Studies only reporting the incidence of pneumonitis during CRT period or less than 3 months after RT, or only providing data of late lung toxicity such as lung fibrosis, were excluded from our analysis. The exclusion of these studies might lead to bias. Fourth, there were significant heterogeneity among studies. By subgroup analyses, we found that study design, RT field, CRT strategy, study published years appeared to account for some heterogeneity. In addition, CT regimens, RT techniques, RT dose, and PTV volume might also be confounding factors. However, we could not evaluate their effects on the incidence of pneumonitis between Asian and non-Asian patients due to insufficient data. Fifth, in the case of multiple articles covered the similar study population, the one with the most comprehensive data was selected. Nevertheless, there might be also studies of overlap patients which were not recognized and were included in our study, especially for some multi-center studies which were difficult to determine whether they had overlap patients or not. This might result in bias of the results. Sixth, meta-regression analyses showed that some patients baseline characteristics (sex and stage) were potential confounders for the incidence of pneumonitis, which might also lead to bias of the results. In addition, baseline ILD is also a risk factor for pneumonitis. However, the majority of included studies did not provide the information of the preexisting ILD. Thus, we could not evaluate its effects on the results. Finally, the primary endpoints or main purpose of the included studies were various (such as OS, and/or PFS, and/or safety), which might affect the results of pneumonitis. There might be difference somewhat in the frequency of pneumonitis depending on whether the purpose of the study is about treatment effects or mainly about side effects.
In conclusion, Asian patients are likely to have a higher incidence of pneumonitis than non-Asian patients treated with CRT with or without immunotherapy, which appears to be due to the poor tolerance of lung to radiation. These results can be helpful to understand the ethnic difference in risk of pneumonitis, and to optimize CRT strategy in Asian patients. Nevertheless, the findings are based on observational studies and with significant heterogeneity, and need to be validated in future large prospective studies focusing on the subject.
Contributors
The study was designed by JD, ZH, and GL. Literature search and data collection were done by TL, SL, SD, JQ, JC, CR, HW, and XW. Statistical analyses were done by TL, SL, and SD, and JQ. JD, ZH, TL, SL, SD, and JQ contributed to data analysis and interpretation. TL, SL, and HW verified the underlying data. All authors had full access to all of the data. The manuscript was drafted by JD, TL, SL, SD, and JQ. All authors read and approved the final version of the manuscript. JD had the final responsibility to submit for publication.
Data sharing statement
All data extracted and generated in this study can be shared with others on reasonable request via email to the corresponding author.
Declaration of interests
The authors declare no competing interests.
Acknowledgements
None.
Footnotes
Supplementary data related to this article can be found at https://doi.org/10.1016/j.eclinm.2023.102246.
Contributor Information
Zheng He, Email: hzlnsysy@163.com.
Jun Dang, Email: dangjunsy@163.com.
Appendix A. Supplementary data
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