Abstract
(1) Background: Malignant pleural mesothelioma (MPM) is a rare but aggressive tumor arising from the pleural surface. For relapsed MPM, there is no accepted standard of- are for subsequent treatment. Thus, we aimed to compare the efficacy of chemotherapy, targeting drugs, and immune-checkpoint inhibitors (ICIs) as subsequent therapy for relapsed MPM. (2) Methods: The study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We searched several acknowledged databases. Primary outcomes were defined as overall median progressive survival (mPFS) and median overall survival (mOS) in different treatment groups. Secondary outcomes were defined as objective response rate (ORR), the proportion of stable disease (SD), and progressive disease (PD). (3) Results: Ultimately, 43 articles were selected for the meta-analysis. According to the results of a pooled analysis of single-arm studies, ICIs showed a slight advantage in mOS, while chemotherapy showed a slight advantage in mPFS (mOS: 11.2 m vs. 10.39 m and mPFS: 4.42 m vs. 5.08 m for ICIs group and chemotherapy group, respectively). We identified only a few studies that directly compared the efficacy of ICIs with that of chemotherapy, and ICIs did not show significant benefits over chemotherapy based on mOS. (4) Conclusions: Based on current evidence, we considered that immunotherapy might not be superior to chemotherapy as a subsequent therapy for relapsed MPM. Although several studies investigated the efficacy of ICIs, targeting drugs, and chemotherapy in relapsed MPM, there was still no standard of care. Further randomized control trials with consistent criteria and outcomes are recommended to guide subsequent therapy in relapsed MPM and identify patients with certain characteristics that might benefit from such subsequent therapy.
Keywords: malignant pleural mesothelioma, chemotherapy, immune checkpoint inhibitors, subsequent treatment
1. Introduction
Malignant pleural mesothelioma (MPM) is a rare but aggressive tumor arising from the pleural surface, with one-year median overall survival (mOS) and about 2500 new cases per year in America [1,2,3]. The most common cause of the disease is asbestos exposure. Three histological sub-types encompass epithelioid, sarcomatoid mesothelioma, and biphasic mesothelioma. Because of its insidious onset, most patients are diagnosed with advanced disease and lose their chance for surgery, leading to a poor prognosis [4]. For unresectable MPM, a regimen of pemetrexed (Pem) and cisplatin (Cis) was approved as the standard of care in first-line treatment by the FDA in 2004 [5]. Currently, numerous studies are being conducted to explore the efficacy of novel agents and regimens for MPM first-line treatment. Fortunately, bevacizumab, nivolumab, and ipilimumab have improved patients’ prognosis and are recommended as first-line treatment options [6,7].
However, there is no accepted standard-of-care for subsequent treatment; recommended options include pemetrexed, gemcitabine, vinorelbine, and some ICIs. Although previous studies have explored the efficacy and safety of different agents for MPM in second-line and subsequent treatment, their benefits are still debated. It is still controversial as to which kind of treatment is the most optimal choice. Given that there have been few articles comparing different agents in second-line and subsequent treatment, this meta-analysis aimed to compare the efficacy of chemotherapy, targeting drugs, and ICIs as subsequent therapy.
2. Materials and Methods
The study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The work was registered in PROSPERO with registration number CRD42022335072.
2.1. Search Strategy
We searched several acknowledged databases including PubMed, Web of Science, and Medline (Ovid version) for articles published from 1 January 2000 to 30 December 2021. The search used the terms (((‘relapse’) OR (‘recurrent’) OR (‘pre-treated’) OR (‘unresectable’) OR (‘advanced’)) AND (‘malignant pleural mesothelioma’)).
2.2. Inclusion and Exclusion Criteria
The articles were eligible if they assessed the efficacy of second- or third-line systematic therapy, including chemotherapy, targeting drugs, and ICIs as subsequent therapy, in previously systematically treated MPM and were reported in English. Single-arm studies, cohort studies, and randomized control trials (RCTs) were all included. Case reports, meta-analyses, study protocols, and conferences were excluded. For several studies, we only extracted partial data from one arm. In these cases, we considered the study type as single-arm study.
2.3. Data Extraction and Study Outcomes
We screened the title and abstract to identify eligible articles and then assessed the full text to select appropriate articles for qualitative and quantitative analysis.
We collected data from the literature as follows: first author, years of publication, study design, number of cases, previous treatment, current therapy patients received in the study, median follow-up time, patients’ best response to current therapy, median progression-free survival (mPFS)/time to progression (mTTP), median overall survival (mOS), and toxicities, if reported. Patients’ best response to current therapy included complete response (CR), partial response (PR), stable disease (SD), progression disease (PD), and death. Objective response rate (ORR) was defined as a proportion of CR and PR.
Primary outcomes were defined as overall mPFS and mOS in different treatment groups. Secondary outcomes were defined as a proportion of ORR, SD, and PD.
2.4. Risk of Bias for Articles in the Meta-Analysis
We assessed the risk of bias for eligible articles. For single-arm studies, the methodological index for non-randomized studies (MINORS) was applied. The Newcastle–Ottawa Quality Assessment Scale (NOS) was utilized for cohort studies, which includes eight items and has a total score of nine. As for RCTs, the Jadad Scale was implemented to assess any risk of bias. After reviewing the full text carefully, scores were given to each eligible article. Articles were considered as having a low risk of bias at scores of MINORS ≥ 13, NOS ≥ 7, or Jadad Scale ≥ 3.
2.5. Statistical Analysis
All procedures were conducted with STATA SE 16.0 (StataCorp, College Station, TX, USA) and RevMan 5.3 (Cochrane, London, UK). The pooled results were reported as overall rate with 95% confidence interval (CI) for single-arm studies and mean difference (MD) with 95% CI for cohort studies and RCTs. A random model was used when pooling all effect measures. The heterogeneity test was completed by I2 test. I2 ≤ 50% was thought to have acceptable heterogeneity. The results are presented as forest plots.
3. Results
3.1. Article Selection
Initially, 2674 articles were searched in PubMed and Web of Science. 2217 articles remained after duplicates were removed. Excluding non-English articles, we screened 2113 abstracts and then screened 428 full texts. Based on the inclusion and exclusion criteria for this study, we assessed carefully for eligibility. Finally, 43 articles were selected for the meta-analysis [7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49]. The flow diagram of article selection is shown in Figure 1.
Figure 1.
Flow diagram of article selection.
3.2. Characteristics of Included Studies
All included studies are described in Table 1 and Table 2. Most of the included studies were single-arm studies, while five [26,31,42,44,48] were RCTs, and one [45] was a cohort study. The single-arm studies mainly assessed the efficacy and toxicities of chemotherapy drugs (such as gemcitabine, vinorelbine, and irinotecan), targeting drugs (such as sorafenib, and dasatinib), and ICIs (such as tremelimumab, ipilimumab, and nivolumab). Among four RCTs, two compared ICIs and placebo, and one compared ICIs and chemotherapy drugs. The retrospective cohort study compared the efficacy of second-line immunotherapy and chemotherapy in real-world patients.
Table 1.
Characteristics of included studies.
| Year | Author | Design | Sample Size | First-Line Treatment | Current Treatment | Median Follow-Up, m | Score |
|---|---|---|---|---|---|---|---|
| 2005 | Manegold [8] | Single-arm | 189 | Pem/Cis 84 Cis 105 |
PSC | - | 14 * |
| 2007 | Fennell [9] | Single-arm | 13 | Vinorelbine Vinorelbine/Oxaliplatin Pem/Cis |
Irinotecan/Cis/Mitomycin | - | 16 * |
| 2008 | Xanthopoulos [10] | Single-arm | 29 | Pem/Platinum | Oxaliplatin/Gem 25 Oxaliplatin 4 |
6.075 | 14 * |
| 2008 | Zucali [11] | Single-arm | 30 | Pem Pem/Platinum |
Gem/Vinorelbine | 10.8 | 14 * |
| 2009 | Ramalingam [12] | Single-arm | 13 | Pem Pem/Platinum |
Belinostat | - | 15 * |
| 2009 | Stebbing [13] | Single-arm | 63 | - | Vinorelbine | - | 16 * |
| 2010 | Dubey [14] | Single-arm | 30 | - | Sorafenib | - | 16 * |
| 2010 | Gregorc [15] | Single-arm | 57 | Pem/Platinum Gem/Cis |
NGR-hTNF | 17.9 | 15 * |
| 2011 | Pasello [17] | Single-arm | 17 | Pem/Platinum | Gem Gem/Cis |
- | 14 * |
| 2011 | Ceresoli, G. L. [16] | Single-arm | 31 | Pem-Based CT | Pem-Based CT | - | 14 * |
| 2012 | Dudek [18] | Single-arm | 43 | Pem-Based CT | Dasatinib | 21 | 15 * |
| 2012 | Nowak [19] | Single-arm | 53 | Pem 42 Gem 11 |
Sunitinib | - | 16 * |
| 2012 | Trafalis [20] | Single-arm | 9 | Pem/Cis | Topotecan/PLD | - | 13 * |
| 2013 | Nowak [21] | Single-arm | 30 | Pem/Platinum | BNC105P | 10.4 | 16 * |
| 2014 | Gunduz [22] | Single-arm | 22 | Pem/Platinum | CTX/Etoposide | 39.1 | 14 * |
| 2014 | Zucali [23] | Single-arm | 59 | Pem-Based CT | Vinorelbine | 18.1 | 14 * |
| 2015 | de Lima [25] | Single-arm | 43 | Pem/Platinum 42 Pem/Vinorelbine 1 |
CCG | - | 14 * |
| 2015 | Krug [26] | RCT | 329 vs. 332 | - | Vorinostat vs. Placebo | 6.5 vs. 5.77 | 5 ** |
| 2015 | Ou [27] | Single-arm | 59 | - | Everolimus | - | 16 * |
| 2015 | Calabrò [24] | Single-arm | 29 | Platinum-Based CT | Tremelimumab | 21.3 | 16 * |
| 2016 | Wheatley-Price [28] | Single-arm | 17 | - | PF-03446962 | - | 12 * |
| 2017 | Alley [29] | Single-arm | 25 | Platinum/Pem/Gem/Vinorelbine | Pembrolizumab | 18.7 | 16 * |
| 2017 | Laurie [30] | Single-arm | 12 | Platinum-Based CT | Dovitinib | - | 16 * |
| 2017 | Maio [31] | RCT | 382 vs. 189 | - | Tremelimumab vs. Placebo | - | 5 ** |
| 2018 | Fennell [33] | Single-arm | 34 | - | Nivolumab | 27.5 | 16 * |
| 2018 | Calabrò, L. [32] | Single-arm | 28 | Platinum-Based CT | Tremelimumab/Durvalumab | 19·2 | 16 * |
| 2019 | Disselhorst [34] | Single-arm | 35 | Platinum-Based CT | Ipilimumab/Nivolumab | 14.3 | 15 * |
| 2019 | Hassan [35] | Single-arm | 53 | - | Avelumab | 24.8 | 16 * |
| 2019 | Okada [36] | Single-arm | 34 | - | Nivolumab | 16.8 | 16 * |
| 2019 | Takeda [37] | Single-arm | 9 | - | YS110 | - | 13 * |
| 2019 | Scherpereel [7] | Single-arm | 125 | Platinum-Based CT | Nivolumab Nivolumab/Ipilimumab |
20.1 | 15 * |
| 2020 | Cantini [38] | Single-arm | 107 | - | Nivolumab | 10.1 | 14 * |
| 2020 | Ikeda [39] | Single-arm | 10 | Pem/Platinum | Amrubicin | - | 15 * |
| 2020 | Lam [40] | Single-arm | 24 | Platinum-Based CT | AZD4547 | - | 16 * |
| 2020 | Popat [42] | RCT | 73 vs. 71 | Platinum-Based CT | Pembrolizumab vs. Gem/Vinorelbine |
- | 5 ** |
| 2020 | Metaxas, Y. [41] | Single-arm | 42 | Pem/Platinum CT ± Immunotherapy | Lurbinectedin | 15.8 | 16 * |
| 2021 | Calabrò [43] | Single-arm | 17 | Pem/Platinum13 ICIs 4 |
Tremelimumab/Durvalumab | 24 | 14 * |
| 2021 | Kim [45] | Cohort study | 115 vs. 61 | Platinum-Based CT | Pembrolizumab/Nivolumab/Ipilimumab vs. Gem/Vinorelbine |
- | 9 *** |
| 2021 | Koda [46] | Single-arm | 62 | Pem/Platinum Pem |
Irinotecan/Gem | 5.7 | 14 * |
| 2021 | Nakagawa [47] | Single-arm | 31 | Platinum-Based CT | YS110 | 9.7 | 16 * |
| 2021 | Pinto [48] | RCT | 80 vs. 81 | Pem/Platinum | Ramucirumab/Gem vs. Placebo/Gem |
21.9 | 16 * |
| 2021 | Yap [49] | Single-arm | 118 | CT | Pembrolizumab | 38.5 | 16 * |
| 2021 | Fennell, D. A. [44] | RCT | 221 vs. 111 | Platinum-Based CT | Nivolumab vs. Placebo | 11.6 | 5 ** |
RCT: randomized control trial; Pem: pemetrexed; Cis: cisplatin; PSC: post-study chemotherapy; Gem: gemcitabine; RT: radiotherapy; CTX: cyclophosphamide; CT: chemotherapy; PLD: pegylated liposomal doxorubicin; CCG: carboplatin, liposomized doxorubicin (Caelyx), and gemcitabine; ICIs: immune checkpoint inhibitors. *: The methodological index for non-randomized studies (MINORS) was applied to assess single-arm studies. **: Jadad Scale was applied to assess RCTs. ***: The Newcastle–Ottawa Quality Assessment Scale (NOS) was applied to assess cohort studies.
Table 2.
Characteristics of patients in included studies.
| Year | Author | Design | Sample Size |
Age (Median) |
Sex | Asbestos Exposure | Histology | Stage | PS | PD-L1 |
|---|---|---|---|---|---|---|---|---|---|---|
| 2005 | Manegold [8] | Single-arm | 189 | 59.3 | Male 152 Female 37 |
/ | Epithelioid 138 Sarcomatoid 16 Biphasic 29 Other 6 |
I–III 41 IV 146 |
KPS ≥ 90: 123 KPS < 90: 66 |
/ |
| 2007 | Fennell [9] | Single-arm | 13 | 56 | Male 11 Female 2 |
/ | Epithelioid 10 Sarcomatoid 2 Biphasic 1 |
I–III 3 IV 10 |
ECOG 0: 2 ECOG 1: 4 ECOG 2: 7 |
/ |
| 2008 | Xanthopoulos [10] | Single-arm | 29 | 64.6 | Male 27 Female 2 |
Yes 17 No 1 Unknown 11 |
Epithelioid 27 Sarcomatoid 1 Biphasic 1 |
/ | ECOG 0: 5 ECOG 1: 18 ECOG 2: 3 ECOG 3: 3 |
/ |
| 2008 | Zucali [11] | Single-arm | 30 | 66 | Male 22 Female 8 |
/ | Epithelioid 21 Sarcomatoid 2 Biphasic 5 Other 2 |
/ | ECOG 0: 9 ECOG 1: 16 ECOG 2: 5 |
/ |
| 2009 | Ramalingam [12] | Single-arm | 13 | 73 | Male 8 Female 5 |
/ | Epithelioid 7 Sarcomatoid 1 Other 5 |
/ | ECOG 0: 4 ECOG 1: 8 ECOG 2: 1 |
/ |
| 2009 | Stebbing [13] | Single-arm | 63 | 59 | Male 59 Female 4 |
/ | Epithelioid 39 Sarcomatoid 7 Biphasic 17 |
I–III 43 IV 20 |
ECOG 0: 23 ECOG 1: 26 ECOG 2: 14 |
/ |
| 2010 | Dubey [14] | Single-arm | 50 | 69 | Male 35 Female 15 |
/ | Epithelioid 37 Sarcomatoid 4 Biphasic 7 Unknown 2 |
/ | ECOG 0: 11 ECOG 1: 39 |
/ |
| 2010 | Gregorc [15] | Cohort study | 57 | / | Male 35 Female 22 |
/ | Epithelioid 45 Non-epithelioid 12 |
ECOG 0–1: 48 ECOG 2: 9 |
/ | |
| 2011 | Pasello [17] | Single-arm | 17 | 61 | Male 12 Female 5 |
/ | Epithelioid 12 Sarcomatoid 4 Biphasic 1 |
/ | ECOG 0: 0 ECOG 1: 15 ECOG 2: 2 |
/ |
| 2011 | Ceresoli, G. L. [16] | Single-arm | 31 | 65 | Male 21 Female 10 |
/ | Epithelioid 27 Biphasic 4 |
/ | ECOG 0: 12 ECOG 1: 18 Unknown: 1 |
/ |
| 2012 | Dudek [18] | Single-arm | 43 | 68 | Male 31 Female 12 |
/ | Epithelioid 33 Sarcomatoid 5 Biphasic 2 Missing 3 |
/ | ECOG 0: 19 ECOG 1: 24 ECOG 2: 0 |
/ |
| 2012 | Nowak [19] | Single-arm | 53 | 66 | Male 44 Female 9 |
/ | Epithelioid 39 Sarcomatoid1 Biphasic 10 Unknown 3 |
/ | ECOG 0: 14 ECOG 1: 39 ECOG 2: 0 |
/ |
| 2012 | Trafalis [20] | Single-arm | 9 | 57.5 | Male 7 Female 2 |
/ | Epithelioid 7 Sarcomatoid 1 Biphasic 1 |
I–III: 0 IV: 9 |
/ | / |
| 2013 | Nowak [21] | Single-arm | 30 | 64 | Male 27 Female 3 |
/ | Epithelioid 20 Sarcomatoid 2 Biphasic 3 Other 5 |
/ | ECOG 0: 7 ECOG 1: 23 ECOG 2: 0 |
/ |
| 2014 | Gunduz [22] | Single-arm | 22 | 55 | Male 13 Female 9 |
/ | Epithelioid 12 Sarcomatoid 4 Biphasic 1 |
I–III: 15 IV: 7 |
/ | / |
| 2014 | Zucali [23] | Single-arm | 59 | 69 | Male 38 Female 21 |
/ | Epithelioid 53 Non-Epithelioid 6 |
/ | ECOG 0: 28 ECOG > 1: 30 Unknown: 1 |
/ |
| 2015 | de Lima [25] | Single-arm | 43 | 67 | Male 31 Female 12 |
Yes 34 No 6 Unknown 3 |
Epithelioid 25 Sarcomatoid 2 Biphasic 13 Other 3 |
I–II: 8 III: 8 IV: 27 |
ECOG 0: 2 ECOG 1: 37 ECOG 2: 4 |
/ |
| 2015 | Krug [26] | RCT | Vorinostat: 329 Placebo: 332 |
Vorinostat: 64 Placebo: 65 |
Vorinostat: Male 283 Female 46 Placebo: Male 270 Female 62 |
/ | Vorinostat: Epithelioid 274 Non-Epithelioid 55 Placebo: Epithelioid 269 Non-Epithelioid 63 |
Vorinostat: I–II: 32 III–IV: 297 Placebo: I–II: 29 III–IV: 303 |
Vorinostat: KPS > 80: 163 Placebo: KPS > 80: 162 |
/ |
| 2015 | Ou [27] | Single-arm | 59 | 67 | Male 45 Female 14 |
/ | Epithelioid 36 Sarcomatoid 0 Biphasic 4 Other: 17 Missing: 2 |
I–III: 5 IV: 54 |
ECOG 0: 13 ECOG 1: 46 ECOG 2: 0 |
/ |
| 2015 | Calabrò [24] | Single-arm | 29 | 65 | Male 20 Female 9 |
/ | Epithelioid 21 Sarcomatoid 1 Biphasic 6 Other 1 |
I–III: 11 IV: 8 |
ECOG 0: 4 ECOG 1: 19 ECOG 2: 6 |
/ |
| 2016 | Wheatley-Price [28] | Single-arm | 17 | 68 | Male 12 Female 5 |
/ | Epithelioid 12 Non-Epithelioid 5 |
/ | ECOG 0: 5 ECOG 1: 10 ECOG 2: 2 |
/ |
| 2017 | Alley [29] | Single-arm | 25 | 65 | Male 17 Female 8 |
/ | Epithelioid 18 Sarcomatoid 2 Biphasic 2 Unknown 3 |
/ | ECOG 0: 9 ECOG 1: 16 ECOG 2: 0 |
/ |
| 2017 | Laurie [30] | Single-arm | 12 | 67 | Male 10 Female 2 |
/ | Epithelioid 12 Sarcomatoid 4 Biphasic 1 |
/ | ECOG 0: 4 ECOG 1: 8 |
/ |
| 2017 | Maio [31] | RCT | Tremelimumab: 382 Placebo: 189 | Tremelimumab: 66 Placebo: 67 |
Tremelimumab: Male 283 Female 99 Placebo: Male 151 Female 38 |
/ | Tremelimumab: Epithelioid 318 Sarcomatoid 22 Biphasic 40 Missing 2 Placebo: Epithelioid 157 Sarcomatoid 16 Biphasic 16 |
Tremelimumab: I: 1 II: 14 III: 95 IV: 263 Unknown: 9 Placebo: I: 4 II: 7 III: 39 IV: 133 Unknown: 6 |
Tremelimumab: ECOG 0: 106 ECOG 1: 273 Missing: 3 Placebo: ECOG 0: 57 ECOG 1: 132 Missing: 0 |
/ |
| 2018 | Fennell [33] | Single-arm | 34 | 67 | Male 28 Female 6 |
/ | Epithelioid 28 Sarcomatoid 2 Biphasic 4 |
I–III: 24 IV: 10 |
ECOG 0: 18 ECOG 1: 16 |
/ |
| 2018 | Calabrò, L. [32] | Single-arm | 40 | 64 | Male 29 Female 11 |
/ | Epithelioid 32 Sarcomatoid 2 Biphasic 5 Undefined 1 |
III: 11 IV: 29 |
EORTC Good: 30 Poor: 10 |
<1% 18 ≥1% 20 Not Scored 2 |
| 2019 | Disselhorst [34] | Single-arm | 35 | 65 | Male 27 Female 8 |
/ | Epithelioid 30 Sarcomatoid 3 Biphasic 2 |
I–III: 21 IV: 14 |
ECOG 0: 10 ECOG 1: 25 |
<1% 19 ≥1% 15 Not Scored 1 |
| 2019 | Hassan [35] | Single-arm | 53 | 67 | Male 32 Female 21 |
/ | Epithelioid 43 Sarcomatoid 2 Biphasic 6 Unknown 2 |
/ | ECOG 0: 14 ECOG 1: 39 |
<1% 21 ≥1% 22 Not Scored 10 |
| 2019 | Okada [36] | Single-arm | 34 | 68 | Male 29 Female 5 |
/ | Epithelioid 27 Sarcomatoid 3 Biphasic 4 |
/ | ECOG 0: 13 ECOG 1: 21 |
<1% 20 ≥1% 12 Not Scored 2 |
| 2019 | Takeda [37] | Single-arm | 9 | 62.2 | Male 7 Female 2 |
/ | Epithelioid 7 Sarcomatoid 0 Biphasic 2 |
I–III: 2 IV: 7 |
ECOG 0: 5 ECOG 1: 4 |
/ |
| 2019 | Scherpereel [7] | Single-arm | 125 | Nivolumab: 63 Nivolumab + Ipilimumab: 62 |
Nivolumab: Male 16 Female 47 Nivolumab + Ipilimumab: Male 9 Female 53 |
/ | Nivolumab: Epithelioid 52 Non-Epithelioid 11 Nivolumab + Ipilimumab: Epithelioid 53 Non-Epithelioid 9 |
Nivolumab: I–II: 7 III–IV: 56 Nivolumab + Ipilimumab: I–II: 11 III–IV: 51 |
Nivolumab: ECOG 0: 19 ECOG 1: 42 ECOG 2: 0 Nivolumab + Ipilimumab: ECOG 0: 25 ECOG 1: 36 ECOG 2: 1 |
Nivolumab: Negative 31 ≥1% 19 ≥25% 2 ≥50% 0 Not Available 13 Nivolumab + Ipilimumab: Negative 27 ≥1% 22 ≥25% 5 ≥50% 3 Not Available 13 |
| 2020 | Cantini [38] | Single-arm | 107 | 69 | Male 95 Female 12 |
/ | Epithelioid 78 Non-Epithelioid 29 |
I–II: 32 III–IV: 70 Unknown: 5 |
ECOG 0: 20 ECOG 1: 68 ECOG 2: 6 Unknown: 13 |
Negative 22 Positive 11 Unknown 74 |
| 2020 | Ikeda [39] | Single-arm | 10 | 67 | Male 9 Female 1 |
/ | Epithelioid 4 Sarcomatoid 3 Biphasic 3 |
I: 0 II: 1 III: 4 IV: 4 Recur: 1 |
ECOG 0: 0 ECOG 1: 10 |
/ |
| 2020 | Lam [40] | Single-arm | 24 | 69.5 | Male 21 Female 3 |
/ | Epithelioid 20 Sarcomatoid 2 Biphasic 2 |
/ | ECOG 0: 0 ECOG 1: 24 |
/ |
| 2020 | Popat [42] | RCT | Pembrolizumab: 73 CT: 71 |
Pembrolizumab: 69 CT: 71 |
Pembrolizumab: Male 58 Female 15 CT: Male 60 Female 11 |
/ | Pembrolizumab: Epithelioid 66 Non-Epithelioid 7 CT: Epithelioid 62 Non-Epithelioid 9 |
/ | Pembrolizumab: ECOG 0: 21 ECOG 1: 51 ECOG 2: 1 CT: ECOG 0: 14 ECOG 1: 57 ECOG 2: 0 |
Pembrolizumab: <1% 36 1–20% 20 ≥20% 11 Not Evaluable 2 CT: <1% 30 1–20% 18 ≥20% 14 Not Evaluable 4 |
| 2020 | Metaxas, Y. [41] | Single-arm | 42 | 68 | Male 35 Female 7 |
/ | Epithelioid 33 Sarcomatoid 5 Biphasic 4 |
/ | ECOG 0: 20 ECOG 1: 22 |
/ |
| 2021 | Calabrò [43] | Single-arm | 17 | 65 | Male 11 Female 6 |
/ | Epithelioid 14 Sarcomatoid 0 Biphasic 3 |
/ | ECOG 0: 10 ECOG 1: 7 |
/ |
| 2021 | Kim [45] | Cohort study | Chemo 61 ICI 115 |
CT: 47–69: 22 70–75: 16 76–79: 12 80–85: 11 ICIs: 47–69: 30 70–75: 29 76–79: 23 80–85: 33 |
CT: Male 48 Female 13 ICIs: Male 83 Female 32 |
/ | CT: Epithelioid 12 Non-Epithelioid 20 ICIs: Epithelioid 77 Non-Epithelioid 38 |
/ | CT: ECOG 0–1: 38 ECOG 2–4: 11 Missing: 12 ICIs: ECOG 0–1: 84 ECOG 2–4: 11 Missing: 20 |
/ |
| 2021 | Koda [46] | Single-arm | 62 | 65 | Male 47 Female 15 |
Yes 47 No 15 |
Epithelioid 48 Sarcomatoid 6 Biphasic 6 Desmoplastic 2 |
I: 13 II: 10 III: 18 IV: 21 |
ECOG 0: 17 ECOG 1: 43 ECOG 2: 2 |
/ |
| 2021 | Nakagawa [47] | Single-arm | 31 | 68 | Male 28 Female 3 |
/ | Epithelioid 26 Sarcomatoid 2 Biphasic 3 |
II: 3 III: 8 IV: 20 |
ECOG 0: 12 ECOG 1: 19 |
CD26 expression <20% 3 ≥20% 28 |
| 2021 | Pinto [48] | RCT | Gem + Ramucirumab: 80 Gem + Placebo: 81 |
Gem + Ramucirumab: 69 Gem + Placebo: 69 |
Gem + Ramucirumab: Male 59 Female 21 Gem + Placebo: Male 60 Female 21 |
/ | Gem + Ramucirumab: Epithelioid 68 Non-Epithelioid 12 Gem + Placebo: Epithelioid 70 Non-Epithelioid 11 |
/ | Gem + Ramucirumab: ECOG 0: 50 ECOG 1: 29 ECOG 2: 1 Gem + Placebo: ECOG 0: 46 ECOG 1: 34 ECOG 2: 1 |
/ |
| 2021 | Yap [49] | Single-arm | 118 | 68 | Male 85 Female 33 |
/ | Epithelioid 82 Sarcomatoid 10 Biphasic 9 Unknown 17 |
I–III 60 IV 58 |
ECOG 0: 44 ECOG 1: 74 |
Positive 77 Negative 31 Not Evaluable 10 |
| 2021 | Fennell, D. A. [44] | RCT | Nivolumab: 221 Placebo: 111 |
Nivolumab: 70 Placebo: 71 |
Nivolumab: Male 167 Female 54 Placebo: Male 86 Female 25 |
Nivolumab: Yes 150 No 65 Missing 6 Placebo: Yes 80 No 30 Missing 1 |
Nivolumab: Epithelioid 195 Non-Epithelioid 26 Placebo: Epithelioid 98 Non-Epithelioid 13 |
/ | ECOG 0: 0 ECOG 1: 15 ECOG 2: 2 |
Nivolumab: <1% 101 ≥1% 60 Missing 60 Placebo: <1% 65 ≥1% 26 Missing 20 |
PS: performance status; KPS: Karnofsky performance status; ECOG: Eastern Cooperative Oncology Group.
3.3. Risk of Bias
The risk-of-bias assessment is detailed in Table 1. Only one single-arm study was considered high-risk, for it did not describe its sample size calculation, and the follow-up period was not long enough.
3.4. Primary Outcomes
Pooled mOS and mPFS were obtained and analyzed based on different types of therapy. For patients receiving chemotherapy, eleven studies reported mOS, and pooled mOS was 10.39 months (95%CI: 8.41–12.37, I2 = 76.51%, Figure 2); eight studies reported mPFS, and pooled mPFS was 5.08 months (95%CI: 4.05–6.10, I2 = 35.27%, Figure 3). For patients receiving ICIs, eight studies reported mOS, and pooled mOS was 11.20 months (95%CI: 8.54–13.86, I2 = 70.99%, Figure 2); eleven studies reported mPFS, and pooled mPFS was 4.22 months (95%CI: 3.24–5.60, I2 = 94.51%, Figure 3). For patients receiving targeting drugs, seven studies reported mOS, and pooled mOS was 7.02 months (95%CI: 5.94–8.10, I2 = 0%, Figure 2); ten studies reported mPFS, and pooled mPFS was 2.45 months (95%CI: 1.94–2.96, I2 = 75.26%, Figure 3).
Figure 2.
Pooled analysis of mOS for chemotherapy, ICIs, and targeting drugs [7,8,9,10,11,13,14,15,18,19,21,22,23,24,25,27,32,33,35,38,40,41,43,46,49].
Figure 3.
Pooled analysis of mPFS for chemotherapy, ICIs and, targeting drugs [7,9,10,11,14,15,18,19,21,22,23,24,25,27,28,29,30,32,33,35,36,38,40,41,43,46,47,49].
We identified only a few studies that directly compared the efficacy of ICIs with that of chemotherapy or placebo (Table 3). We found that targeted therapy showed superior mOS than placebo (MD: 5.58, 95%CI: 4.31–6.85, I2 = 0%, Figure 4B), while ICIs did not show significant benefits over chemotherapy based on mOS (Figure 4A).
Table 3.
Measure outcomes of RCTs and cohort study.
| Year | Author | Study | Design | Sample Size | Comparison | mPFS (95% CI), m | mOS (95% CI), m |
|---|---|---|---|---|---|---|---|
| 2015 | Krug [26] | VANTAGE-014 | RCT | 329 vs. 332 | Targeting drugs vs. Placebo | 1.575 (1.525–1.775) vs. 1.525 (1.5–1.525) |
7.675 (6.675–9.025) vs. 6.775 (5.775–7.975) |
| 2017 | Maio [31] | DETERMINE | RCT | 382 vs. 189 | ICIs vs. Placebo | 2.8 (2.8–2.8) vs. 2.7 (2.7–2.8) |
7.7 (6.8–8.9) vs. 7.3 (5.9–8.7) |
| 2020 | Popat [42] | PROMISE-meso | RCT | 73 vs. 71 | ICIs vs. CT | 2.5 (2.1–4.2) vs. 3.4 (2.2–4.3) |
10.7 (7.6–15) vs. 12.4 (7.4–16.1) |
| 2021 | Kim [45] | - | Cohort study | 115 vs. 61 | ICIs vs. CT | - | 8.7 (7.7–10.9) vs. 5.0 (4.0–6.4) |
| 2021 | Pinto [48] | RAMES | RCT | 80 vs. 81 | Targeting drugs vs. Placebo | 6.4 (5.5–7.6) vs. 3.3 (3.0–3.9) |
13.8 (12.7–14.4) vs. 7.5 (6.9–8.9) |
| 2021 | Fennell [44] | CONFIRM | RCT | 221 vs. 111 | ICIs vs. Placebo | 3.0 (2.8–4.1) vs. 1.8 (1.4–2.6) |
10.2 (8.5–12.1) vs. 6.9 (5.0–8.0) |
RCT: randomized control trial; ICIs: immune checkpoint inhibitors; CT: chemotherapy; mPFS: median progression-free survival; mOS: median overall survival.
Figure 4.
(A) Forest plot of mOS between ICIs and chemotherapy. (B) Forest plot of mOS between targeting drugs and placebo. (C) Forest plot of mPFS between targeting drugs and placebo. (D) Forest plot of mOS between ICIs and placebo. (E) Forest plot of mPFS between ICIs and placebo [26,31,42,44,45,48].
3.5. Secondary Outcomes
ORR was pooled according to different types of treatment and was 0.11 (95%CI: 0.06–0.15, Figure 5), 0.03 (95%CI: 0.01–0.06, Figure 5) and 0.18 (95%CI: 0.13–0.23, Figure 5) for chemotherapy, targeting drugs, and ICIs, respectively.
Figure 5.
Pooled analysis of ORR for chemotherapy, ICIs, and targeting drugs [7,9,10,11,13,15,16,18,19,20,21,22,23,24,25,27,29,30,31,32,34,35,36,37,38,39,41,46,47,49].
As for SD rate, chemotherapy treatment enjoyed the best overall benefits (0.51 with 95%CI: 0.42–0.61, Figure 6). ICIs had the worst overall benefits (0.36 with 95%CI: 0.30–0.43, Figure 6).
Figure 6.
Pooled analysis of SD rate for chemotherapy, ICIs, and targeting drugs [7,9,10,11,12,13,15,16,17,18,19,20,21,22,23,24,25,27,28,29,30,31,32,34,35,36,37,38,39,40,41,43,46,47,49].
Overall, the PD rate was still in favor of chemotherapy treatment, with a PD rate of 0.39 (95%CI: 0.31–0.48, Figure 7). The overall PD rates of the other two treatments were 0.46 (95%CI: 0.32–0.61, Figure 7) and 0.44 (95%CI: 0.36–0.52, Figure 7) for targeting drugs and ICIs, respectively.
Figure 7.
Pooled analysis of PD rate for chemotherapy, ICIs, and targeting drugs. PD: progression disease [7,9,10,11,12,13,15,16,17,18,19,21,22,23,24,25,27,28,29,30,31,32,34,35,36,37,38,39,40,41,43,46,47,49].
4. Discussion
Most patients with MPM are diagnosed with advanced disease due to its insidious onset and receive chemotherapy with or without immunotherapy or targeted therapy. For patients with early-stage MPM, a multimodality treatment is the gold-standard therapy, which includes surgery and chemotherapy, with or without radiotherapy. Hyperthermic intrathoracic chemotherapy might also be an effective procedure to improve surgical radicality, resulting in a better OS [50]. However, most patients may experience disease progression and need to receive subsequent treatments.
In this meta-analysis, we pooled and compared the efficacy of different subsequent treatments for relapsed MPM, including chemotherapy, ICIs, and targeting drugs. Particular, we put an emphasis on the efficacy of ICIs and chemotherapy based on available data and found that ICIs might not be superior to chemotherapy as subsequent therapy in relapsed MPM.
The standard-of-care for MPM in first-line treatments has been modified based on clinical trials. Regimens recommended by NCCN include pemetrexed plus cisplatin with or without bevacizumab and nivolumab plus ipilimumab. However, regimens in subsequent lines remain controversial. In the past decades, physicians have conducted clinical trials to assess and compare different chemotherapy drugs, including gemcitabine, vinorelbine, oxaliplatin, cyclophosphamide, and etoposide. While ICIs and targeting drugs have recently shown significant efficacy in other malignancies, some investigators have also tried to explore the efficacy of certain agents for relapsed MPM, including pembrolizumab, nivolumab, tremelimumab, ipilimumab, avelumab, and belinostat. Unfortunately, few studies have shown inspiring results, and there are few studies comparing new regimens with commonly recommended chemotherapy.
This meta-analysis demonstrated that ICIs might not show superior effects over chemotherapy as subsequent treatment for relapsed MPM. According to the results of our pooled analysis of single-arm studies, ICIs showed a slight advantage in mOS, while chemotherapy showed a slight advantage in mPFS (mOS: 11.2 m vs. 10.39 m and mPFS: 4.42 m vs. 5.08 m for ICIs group and chemotherapy group, respectively). Moreover, patients receiving chemotherapy showed lower PD rates. Nevertheless, the study designs of the pooled single-arm studies were not the same, and confounding factors were hard to adjust. Thus, RCTs and cohort studies were needed to directly compare their efficacy.
RCTs or cohort studies are shown in Table 3, with only two studies comparing chemotherapy and ICIs. The PROMISE-meso trial compared pembrolizumab with gemcitabine/vinorelbine and demonstrated that pembrolizumab was not superior to chemotherapy in PFS and OS [42]. It also found no relationship between the efficacy of ICIs and the extent of PD-L1 expression. In the retrospective cohort study, chemotherapy included gemcitabine ± vinorelbine, while ICIs included pembrolizumab and nivolumab ± ipilimumab [45]. It found that second-line ICIs showed significantly improved OS. Based on the results of the two studies, the forest plot demonstrated that ICIs did not show significant benefits over chemotherapy in mOS (Figure 4A). Several factors might explain this. Based on the results of basic research, ICIs function through inflammatory microenvironments, but tumor types of genomic losses, microsatellite instability, and low tumor mutation burden might contradict this [51]. In this way, the efficacy of ICIs might be reduced, and their benefits compared with chemotherapy might be weakened. In clinical practice, patients who became refractory to first-line chemotherapy were normally considered insensitive to subsequent chemotherapy. However, few studies have reported the median duration of response to previous chemotherapy, which might obscure the efficacy of second-line chemotherapy and narrow the difference between chemotherapy and ICIs. Moreover, patients in the cohort study were older than those in the RCT. In real-world settings, patients’ performance status, response to prior chemotherapy, expression of PD-L1, and economic situations might be considered when choosing between ICIs or chemotherapy. These factors might indeed influence outcomes. Hence, further studies should focus on these factors to identify the potential groups of patients that might benefit from subsequent treatments. Regardless, any kind of therapy other than placebo may be beneficial for mOS and mPFS in second-line treatment for relapsing MPM (Figure 4B–E).
To our knowledge, this is the first meta-analysis to directly compare the efficacy of ICIs and chemotherapy as subsequent treatment in relapsed MPM based on survival data. We integrated the most up-to-date evidence and demonstrated that ICIs might not be superior to chemotherapy in subsequent therapy.
Nevertheless, there are several limitations. First of all, most enrolled studies were single-arm studies. Only one RCT and one cohort study compared subsequent ICIs and chemotherapy. Secondly, outcomes of those studies were not the same, and potential bias might influence the pooled analysis. Thus, more RCTs and cohort studies with high-level evidence and consistent outcome definitions are urgently needed to validate our results.
To conclude, this study demonstrated that ICIs might not be superior to chemotherapy as subsequent therapy in relapsed MPM. Although several studies investigated the efficacy of ICIs, targeting drugs, and chemotherapy in relapsed MPM, there remains no standard of care. Nonetheless, just as ICIs and antiangiogenics drugs have been recommended for first-line treatment, novel treatments may attenuate negative outcomes from therapy. Thus, we recommend that more RCTs with consistent criteria and outcomes be conducted to guide subsequent therapy in relapsed MPM and identify patients with certain characteristics that might benefit from such subsequent therapy.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
All data generated or analyzed during this study are included in this published article.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research received no external funding.
Footnotes
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data generated or analyzed during this study are included in this published article.







