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Figure 1.  PRISMA Flow Diagram of Study Selection for Meta-Analysis
PRISMA Flow Diagram of Study Selection for Meta-Analysis
Figure 2.  Associations Between Development of Cutaneous Immune-Related Adverse Events (cirAEs) and Overall and Progression-Free Survival
Associations Between Development of Cutaneous Immune-Related Adverse Events (cirAEs) and Overall and Progression-Free Survival

A random-effects DerSimonian-Laird model was used. HR indicates hazard ratio.

Figure 3.  Landmark Analysis of Associations Between Cutaneous Immune-Related Adverse Events (cirAEs) and Overall and Progression-Free Survival
Landmark Analysis of Associations Between Cutaneous Immune-Related Adverse Events (cirAEs) and Overall and Progression-Free Survival

A random-effects DerSimonian-Laird model was used. HR indicates hazard ratio.

Table.  Subgroup Analyses of Overall and Progression-Free Survival According to Study Characteristics and Methods
Subgroup Analyses of Overall and Progression-Free Survival According to Study Characteristics and Methods
1.
Das  S, Johnson  DB.  Immune-related adverse events and anti-tumor efficacy of immune checkpoint inhibitors.   J Immunother Cancer. 2019;7(1):306. doi:10.1186/s40425-019-0805-8 PubMedGoogle ScholarCrossref
2.
Fan  Y, Xie  W, Huang  H,  et al.  Association of immune related adverse events with efficacy of immune checkpoint inhibitors and overall survival in cancers: a systemic review and meta-analysis.   Front Oncol. 2021;11:633032. doi:10.3389/fonc.2021.633032 PubMedGoogle ScholarCrossref
3.
Bagchi  S, Yuan  R, Engleman  EG.  Immune checkpoint inhibitors for the treatment of cancer: clinical impact and mechanisms of response and resistance.   Annu Rev Pathol. 2021;16:223-249. doi:10.1146/annurev-pathol-042020-042741 PubMedGoogle ScholarCrossref
4.
Quach  HT, Johnson  DB, LeBoeuf  NR, Zwerner  JP, Dewan  AK.  Cutaneous adverse events caused by immune checkpoint inhibitors.   J Am Acad Dermatol. 2021;85(4):956-966. doi:10.1016/j.jaad.2020.09.054 PubMedGoogle ScholarCrossref
5.
Siegel  J, Totonchy  M, Damsky  W,  et al.  Bullous disorders associated with anti-PD-1 and anti-PD-L1 therapy: a retrospective analysis evaluating the clinical and histopathologic features, frequency, and impact on cancer therapy.   J Am Acad Dermatol. 2018;79(6):1081-1088. doi:10.1016/j.jaad.2018.07.008 PubMedGoogle ScholarCrossref
6.
Chan  L, Hwang  SJE, Byth  K,  et al.  Survival and prognosis of individuals receiving programmed cell death 1 inhibitor with and without immunologic cutaneous adverse events.   J Am Acad Dermatol. 2020;82(2):311-316. doi:10.1016/j.jaad.2019.06.035 PubMedGoogle ScholarCrossref
7.
Hirotsu  KE, Scott  MKD, Marquez  C,  et al.  Histologic subtype of cutaneous immune-related adverse events predicts overall survival in patients receiving immune checkpoint inhibitors.   J Am Acad Dermatol. 2022;87(3):651-653. doi:10.1016/j.jaad.2021.11.050 PubMedGoogle ScholarCrossref
8.
Jacoby  TV, Shah  N, Asdourian  MS,  et al.  Dermatology evaluation for cutaneous immune-related adverse events is associated with improved survival in cancer patients treated with checkpoint inhibition.   J Am Acad Dermatol. 2023;88(3):711-714. doi:10.1016/j.jaad.2022.09.012 PubMedGoogle ScholarCrossref
9.
Tang  K, Seo  J, Tiu  BC,  et al.  Association of cutaneous immune-related adverse events with increased survival in patients treated with anti-programmed cell death 1 and anti-programmed cell death ligand 1 therapy.   JAMA Dermatol. 2022;158(2):189-193. doi:10.1001/jamadermatol.2021.5476 PubMedGoogle ScholarCrossref
10.
Tierney  JF, Stewart  LA, Ghersi  D, Burdett  S, Sydes  MR.  Practical methods for incorporating summary time-to-event data into meta-analysis.   Trials. 2007;8:16. doi:10.1186/1745-6215-8-16 PubMedGoogle ScholarCrossref
11.
Mitchell  M, Muftakhidinov  B, Winchen  T,  et al. Engauge Digitizer Software. Accessed December 31, 2022. http://markummitchell.github.io/engauge-digitizer/
12.
Chen  S, LeBoeuf  N, Reynolds  K, Semenov  Y.  Dermatologic immune related adverse event disease definitions: a multi-institutional Delphi consensus project presented on behalf of the Oncodermatology Working Group.   J Immunother Cancer. 2022;10(suppl 2):A1311. Google Scholar
13.
Duval  S, Tweedie  R.  Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.   Biometrics. 2000;56(2):455-463. doi:10.1111/j.0006-341X.2000.00455.x PubMedGoogle ScholarCrossref
14.
Freeman-Keller  M, Kim  Y, Cronin  H, Richards  A, Gibney  G, Weber  JS.  Nivolumab in resected and unresectable metastatic melanoma: characteristics of immune-related adverse events and association with outcomes.   Clin Cancer Res. 2016;22(4):886-894. doi:10.1158/1078-0432.CCR-15-1136 PubMedGoogle ScholarCrossref
15.
Nakano  E, Takahashi  A, Namikawa  K,  et al.  Correlation between cutaneous adverse events and prognosis in patients with melanoma treated with nivolumab: a single institutional retrospective study.   J Dermatol. 2020;47(6):622-628. doi:10.1111/1346-8138.15309 PubMedGoogle ScholarCrossref
16.
Tarhini  AA, Kang  N, Lee  SJ,  et al.  Immune adverse events (irAEs) with adjuvant ipilimumab in melanoma, use of immunosuppressants and association with outcome: ECOG-ACRIN E1609 study analysis.   J Immunother Cancer. 2021;9(5):e002535. doi:10.1136/jitc-2021-002535 PubMedGoogle ScholarCrossref
17.
Shreberk-Hassidim  R, Aizenbud  L, Lussheimer  S,  et al.  Dermatological adverse events under programmed cell death-1 inhibitors as a prognostic marker in metastatic melanoma.   Dermatol Ther. 2022;35(10):e15747. doi:10.1111/dth.15747 PubMedGoogle ScholarCrossref
18.
Cho  YT, Lin  YT, Yang  CW, Chu  CY.  Cutaneous immune-related adverse events among Taiwanese cancer patients receiving immune checkpoint inhibitors link to a survival benefit.   Sci Rep. 2022;12(1):7021. doi:10.1038/s41598-022-11128-5 PubMedGoogle ScholarCrossref
19.
Zhang  S, Tang  K, Wan  G,  et al.  Cutaneous immune-related adverse events are associated with longer overall survival in advanced cancer patients on immune checkpoint inhibitors: a multi-institutional cohort study.   J Am Acad Dermatol. 2023;88(5):1024-1032. doi:10.1016/j.jaad.2022.12.048 PubMedGoogle ScholarCrossref
20.
Lee  YJ, Kim  HT, Won  CH,  et al.  Characterization and prognostic significance of cutaneous adverse events to anti-programmed cell death-1 therapy.   J Korean Med Sci. 2019;34(26):e186. doi:10.3346/jkms.2019.34.e186 PubMedGoogle ScholarCrossref
21.
Paderi  A, Giorgione  R, Giommoni  E,  et al.  Association between immune related adverse events and outcome in patients with metastatic renal cell carcinoma treated with immune checkpoint inhibitors.   Cancers (Basel). 2021;13(4):860. doi:10.3390/cancers13040860 PubMedGoogle ScholarCrossref
22.
Nakamura  Y, Tanaka  R, Asami  Y,  et al.  Correlation between vitiligo occurrence and clinical benefit in advanced melanoma patients treated with nivolumab: a multi-institutional retrospective study.   J Dermatol. 2017;44(2):117-122. doi:10.1111/1346-8138.13520 PubMedGoogle ScholarCrossref
23.
Haratani  K, Hayashi  H, Chiba  Y,  et al.  Association of immune-related adverse events with nivolumab efficacy in non-small-cell lung cancer.   JAMA Oncol. 2018;4(3):374-378. doi:10.1001/jamaoncol.2017.2925 PubMedGoogle ScholarCrossref
24.
Ricciuti  B, Genova  C, De Giglio  A,  et al.  Impact of immune-related adverse events on survival in patients with advanced non-small cell lung cancer treated with nivolumab: long-term outcomes from a multi-institutional analysis.   J Cancer Res Clin Oncol. 2019;145(2):479-485. doi:10.1007/s00432-018-2805-3 PubMedGoogle ScholarCrossref
25.
Aso  M, Toi  Y, Sugisaka  J,  et al.  Association between skin reaction and clinical benefit in patients treated with anti-programmed cell death 1 monotherapy for advanced non-small cell lung cancer.   Oncologist. 2020;25(3):e536-e544. doi:10.1634/theoncologist.2019-0550 PubMedGoogle ScholarCrossref
26.
Ahn  BC, Pyo  KH, Xin  CF,  et al.  Comprehensive analysis of the characteristics and treatment outcomes of patients with non-small cell lung cancer treated with anti-PD-1 therapy in real-world practice.   J Cancer Res Clin Oncol. 2019;145(6):1613-1623. doi:10.1007/s00432-019-02899-y PubMedGoogle ScholarCrossref
27.
Min Lee  CK, Li  S, Tran  DC,  et al.  Characterization of dermatitis after PD-1/PD-L1 inhibitor therapy and association with multiple oncologic outcomes: a retrospective case-control study.   J Am Acad Dermatol. 2018;79(6):1047-1052. doi:10.1016/j.jaad.2018.05.035 PubMedGoogle ScholarCrossref
28.
Berner  F, Bomze  D, Diem  S,  et al.  Association of checkpoint inhibitor-induced toxic effects with shared cancer and tissue antigens in non-small cell lung cancer.   JAMA Oncol. 2019;5(7):1043-1047. doi:10.1001/jamaoncol.2019.0402 PubMedGoogle ScholarCrossref
29.
Cortellini  A, Friedlaender  A, Banna  GL,  et al.  Immune-related adverse events of pembrolizumab in a large real-world cohort of patients with NSCLC with a PD-L1 expression ≥50% and their relationship with clinical outcomes.   Clin Lung Cancer. 2020;21(6):498-508. doi:10.1016/j.cllc.2020.06.010 PubMedGoogle ScholarCrossref
30.
Bottlaender  L, Amini-Adle  M, Maucort-Boulch  D, Robinson  P, Thomas  L, Dalle  S.  Cutaneous adverse events: a predictor of tumour response under anti-PD-1 therapy for metastatic melanoma, a cohort analysis of 189 patients.   J Eur Acad Dermatol Venereol. 2020;34(9):2096-2105. doi:10.1111/jdv.16311 PubMedGoogle ScholarCrossref
31.
Thompson  LL, Nadelmann  ER, Blum  AE,  et al.  Patterns and prognostic significance of cutaneous immune-related adverse events in non-small cell lung cancer.   Eur J Cancer. 2021;147:13-16. doi:10.1016/j.ejca.2021.01.022 PubMedGoogle ScholarCrossref
32.
Dousset  L, Pacaud  A, Barnetche  T,  et al.  Analysis of tumor response and clinical factors associated with vitiligo in patients receiving anti-programmed cell death-1 therapies for melanoma: a cross-sectional study.   JAAD Int. 2021;5:112-120. doi:10.1016/j.jdin.2021.09.002 PubMedGoogle ScholarCrossref
33.
Nelson  CA, Singer  S, Chen  T,  et al.  Bullous pemphigoid after anti-programmed death-1 therapy: a retrospective case-control study evaluating impact on tumor response and survival outcomes.   J Am Acad Dermatol. 2022;87(6):1400-1402. doi:10.1016/j.jaad.2019.12.068 PubMedGoogle ScholarCrossref
34.
Nardin  C, Jeand’heur  A, Bouiller  K,  et al.  Vitiligo under anti-programmed cell death-1 therapy is associated with increased survival in melanoma patients.   J Am Acad Dermatol. 2020;82(3):770-772. doi:10.1016/j.jaad.2019.11.017 PubMedGoogle ScholarCrossref
35.
Sun  Q, Sun  H, Wu  N, Hu  Y, Zhang  F, Cong  X.  Patients with melanoma treated with immune checkpoint inhibitors who had non-thyroid endocrine and skin immune-related adverse events have better prognosis: a systematic review and meta-analysis.   Front Oncol. 2022;12:976224. doi:10.3389/fonc.2022.976224 PubMedGoogle ScholarCrossref
36.
Cheung  YM, Wang  W, McGregor  B, Hamnvik  OR.  Associations between immune-related thyroid dysfunction and efficacy of immune checkpoint inhibitors: a systematic review and meta-analysis.   Cancer Immunol Immunother. 2022;71(8):1795-1812. doi:10.1007/s00262-021-03128-7 PubMedGoogle ScholarCrossref
37.
Zhou  X, Yao  Z, Yang  H, Liang  N, Zhang  X, Zhang  F.  Are immune-related adverse events associated with the efficacy of immune checkpoint inhibitors in patients with cancer? a systematic review and meta-analysis.   BMC Med. 2020;18(1):87. doi:10.1186/s12916-020-01549-2 PubMedGoogle ScholarCrossref
38.
Zhong  L, Wu  Q, Chen  F, Liu  J, Xie  X.  Immune-related adverse events: promising predictors for efficacy of immune checkpoint inhibitors.   Cancer Immunol Immunother. 2021;70(9):2559-2576. doi:10.1007/s00262-020-02803-5 PubMedGoogle ScholarCrossref
39.
Teulings  HE, Limpens  J, Jansen  SN,  et al.  Vitiligo-like depigmentation in patients with stage III-IV melanoma receiving immunotherapy and its association with survival: a systematic review and meta-analysis.   J Clin Oncol. 2015;33(7):773-781. doi:10.1200/JCO.2014.57.4756 PubMedGoogle ScholarCrossref
40.
Postow  MA, Sidlow  R, Hellmann  MD.  Immune-related adverse events associated with immune checkpoint blockade.   N Engl J Med. 2018;378(2):158-168. doi:10.1056/NEJMra1703481 PubMedGoogle ScholarCrossref
Original Investigation
September 6, 2023

Cutaneous Adverse Events and Cancer Survival Prognosis With Immune Checkpoint Inhibitor Treatment: A Systematic Review and Meta-Analysis

Author Affiliations
  • 1Department of Dermatology, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China
JAMA Dermatol. 2023;159(10):1093-1101. doi:10.1001/jamadermatol.2023.3003
Key Points

Question  Are cutaneous immune-related adverse events (cirAEs) and their subtypes associated with improved cancer prognosis among patients receiving immune checkpoint inhibitor (ICI) treatment?

Findings  In this systematic review and meta-analysis including 23 articles with a total of 22 749 patients treated with ICIs, those with cirAEs exhibited extended overall survival and progression-free survival (PFS). Consistent results were observed across all subgroups stratified by cirAE subtype, study design, geographic region, ICI type, and cancer type except for PFS analysis in the US.

Meaning  These findings suggest that cirAEs may have prognostic value during ICI treatment and may provide valuable information for diagnostic assessment and subsequent ICI treatment.

Abstract

Importance  Growing research suggests that the prevalence of cutaneous immune-related adverse events (cirAEs) is associated with favorable outcomes among individuals with cancer who receive immune checkpoint inhibitor (ICI) treatment.

Objective  To identify whether the presence of cirAEs and their subtypes subsequent to ICI administration is associated with enhanced cancer prognosis.

Data Sources  The PubMed, Embase, Cochrane Library, and Web of Science databases were searched for publications examining the association between cirAE development during ICI treatment and subsequent cancer prognosis. The initial search was limited to English-language publications from database inception until December 31, 2022; a subsequent search was performed on May 21, 2023.

Study Selection  Two reviewers independently scrutinized the identical articles and included those that constituted original research evaluating the association between cirAE development and cancer prognosis.

Data Extraction and Synthesis  The search terms, study objectives, and methodological protocols were defined before study initiation. The aforementioned 2 reviewers performed data extraction independently and resolved discrepancies through agreement. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analysis and the Meta-analysis of Observational Studies in Epidemiology reporting guidelines. The protocol was prospectively registered with PROSPERO. Data analyses were conducted between May 21 and June 1, 2023.

Main Outcomes and Measures  The major outcome end points were overall survival (OS) and progression-free survival (PFS). Subgroup analyses were also conducted according to cirAE type, cancer type, geographic region, study design, and ICI type. Given the heterogeneity inherent in the included studies, a DerSimonian-Laird random-effects model was adopted.

Results  This systematic review and meta-analysis included 23 studies with a total of 22 749 patients treated with ICIs. The occurrence of cirAEs was associated with improved OS (hazard ratio [HR], 0.61 [95% CI, 0.52-0.72]; P < .001) and PFS (HR, 0.52 [95% CI, 0.41-0.65]; P < .001). Consistent results were observed across all subgroups stratified by study design, geographic region, ICI type, and cancer type, aligning with the overall estimate of OS and PFS improvement. However, no statistically significant differences were identified in terms of PFS within studies conducted in the US.

Conclusions and Relevance  In this systematic review and meta-analysis, the presence of cirAEs and their subtypes was associated with improved prognosis for individuals with cancer undergoing ICI treatment. These findings suggest that cirAEs may have useful prognostic value in ICI treatment.

Introduction

Over the past decade, immune checkpoint inhibitors (ICIs) have revolutionized the therapeutic landscape for patients with advanced malignant tumors. Immune checkpoints, such as cytotoxic T-lymphocyte–associated protein 4 (CTLA-4), programmed cell death 1 (PD-1), and programmed cell death ligand 1 (PD-L1), have been effectively targeted using antagonist antibodies.1,2 Presently, ICIs assume pivotal roles in the treatment of melanoma, non–small cell lung cancer (NSCLC), and other solid tumors.3

Regardless of their therapeutic effectiveness, ICIs can cause immunotoxicity as a result of increased immunologic activation, which manifests as an immune-related adverse event (irAE). Broadly speaking, irAEs may affect any organ or system at any given point during or subsequent to discontinuation of ICI treatment.2 Cutaneous irAEs (cirAEs) are the most commonly reported toxic effects, affecting approximately 30% to 60% of all treated patients.4 An extensive array of clinical manifestations has been documented, encompassing exanthems, lichenoid reactions, dermatitis, psoriasis, vitiligo, bullous disorders, and Stevens-Johnson syndrome or toxic epidermal necrolysis.5 A vital question arises regarding whether the occurrence of distinct cirAE types is associated with clinical outcomes of patients undergoing ICI treatment. Several studies have noted a positive association of various cirAE subtypes with tumor response and survival.6-8

Previous meta-analyses have predominantly concentrated on the association between all irAE categories and treatment effectiveness. However, to our knowledge, the precise association between cirAEs, including their distinct subtypes, and cancer survival remains a topic of debate.9 As a result, we conducted this comprehensive and up-to-date systematic review and meta-analysis to determine whether the prevalence of cirAEs and their specific subtypes following ICI treatment is associated with improved outcomes among patients with cancer. This study aimed to improve understanding and provide valuable insight into individualized treatment.

Methods

Southeast University deemed this systematic review and meta-analysis exempt from review and waived informed consent because only publicly available, previously published studies were used. This research was carried out in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) and Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guidelines. The study protocol was prospectively registered with PROSPERO (CRD42023390967).

Search Strategy

We searched the PubMed, Embase, Cochrane Library, and Web of Science databases for studies published between database inception and December 31, 2022. The following search terms were used for the initial search: cutaneous adverse event OR cutaneous immune-related adverse event AND PD-1, PD-L1, CTLA-4, immune-checkpoint inhibitor, OR ICI AND prognosis OR survival. On May 21, 2023, we conducted an updated electronic search using the same 4 databases and expanded the key terms to include the following: cutaneous adverse event, cutaneous immune-related adverse event, dermatological adverse event, OR mucosal adverse event AND PD-1, PD-L1, CTLA-4, immune-checkpoint inhibitor, OR ICI AND prognosis, survival, mortality, OR outcome.

Selection Process

Two researchers (Y.D. and W.W.) independently conducted a rapid screening of titles and abstracts. They then carried out a full-text search to identify relevant studies. Finally, they screened the citations of the relevant studies to identify any additional eligible studies.

Inclusion Criteria

The following criteria were considered essential for study inclusion: (1) patients with malignant tumors who received ICI treatment; (2) analyses that provided hazard ratios (HRs) of overall survival (OS) or progression-free survival (PFS) comparing patients with cirAEs with patients without; (3) assessment of adverse events based on the National Cancer Institute Common Terminology Criteria for Adverse Events (version 3.0, 4.0, or 5.0), with cirAE diagnosis and severity determined through clinical examinations, biological markers, and imaging data; (4) be a prospective, retrospective, or randomized clinical trial; (5) availability of HRs with 95% CIs of survival data; and (6) research published in English-language journals.

Reviews, case reports, guidelines, editorials, and conference abstracts were excluded from consideration. Final determination of study eligibility and inclusion was reached through consensus among both reviewers (Y.D. and W.W.).

Data Extraction and Collection

The same 2 reviewers (Y.D. and W.W.) extracted data independently and resolved any differences through consensus. The following data were extracted for each study: first author’s name, publication year, geographic region of the original study, study design, ICI type, cancer type, number of patients, sex, specific cirAE types, landmark analysis, and outcomes. The primary end points were PFS and OS among patients with cirAEs and patients without cirAEs assessed as HRs, respectively. In cases in which HR data were not directly provided, Kaplan-Meier curves were digitized using Engauge Digitizer open-source software to estimate HRs.10,11

Quality Assessment

Newcastle-Ottawa Scale (NOS) criteria were used to assess the design, conduct, and reporting of the included studies. Two researchers (Y.D. and W.W.) independently assessed the quality items and potential differences in scoring. Each study was assigned a score for methodological quality ranging from 0 (poor) to 9 (best) based on criteria related to study cohort selection, comparability, and outcomes. Any discrepancies were resolved through consensus involving the participation of a third author (M.C.). Trials that provided HRs for PFS or OS following ICI treatment, either directly or indirectly, were considered qualified studies.

Statistical Analysis

Pooled HRs and their corresponding 95% CIs were calculated to assess the association of cirAE occurrence with OS and PFS. An HR greater than 1 indicated a poor prognosis, whereas an HR less than 1 indicated a favorable prognosis.

Fixed- and random-effects meta-analyses were both performed. Based on the final collection of trials reporting OS and/or PFS data for patients with or without cirAEs, the general inverse-variance–weighted technique was applied to assess the overall effect size. I2 statistics were used to determine the percentage of variance in the data that might be attributable to heterogeneity rather than sampling error. Low heterogeneity was indicated by an I2 score of 25% or less. Given the relatively small size of our final research sample and the moderate levels of heterogeneity, all results are presented using the DerSimonian-Laird random-effects model. Subgroup analyses were carried out to investigate the association of cirAEs with OS and PFS based on study design, geographic area, cancer type, and cirAE subtype, as long as at least 2 studies were available. The cirAE subtypes were classified using Delphi consensus definitions,12 including psoriasis, lichenoid or lichen planus-like lesions, bullous pemphigoid, eczematous, vitiligo, erosive mucocutaneous, Grover disease, exanthem, eruptive atypical squamous proliferation, and pruritus without rash. Vague descriptions of cirAE types were not included in the subgroup analysis.

Assessment of publication bias involved the use of Begg funnel plots and the Egger test. A significance level of P < .05 (2-sided) indicated the presence of publication bias in both tests. Moreover, we used the trim-and-fill method to identify and address potential publication bias.13 This involved estimating the number of potentially missing studies and incorporating hypothetical studies into the original analysis, thus deriving an adjusted effect size.

To assess robustness and potential bias in estimating OS, we conducted a sensitivity analysis wherein each study was sequentially excluded. Furthermore, we performed an additional sensitivity analysis excluding studies with a high risk of bias, determined based on study type, sample size, and result reliability.

All statistical analyses were conducted using Stata, version 17.0 (StataCorp). P < .05 was considered statistically significant. Data analyses were conducted between May 21 and June 1, 2023.

Results
Study Selection

A total of 1345 citations were identified in the initial search (Figure 1). Through comprehensive analysis of the titles and abstracts, we identified 38 articles that examined the association between ICI treatment and cirAE prognostic value. Seventeen articles did not meet the inclusion criteria and were thus eliminated. Two additional studies were discovered through a search of the citations of relevant studies. The meta-analysis comprised 23 articles that satisfied the established criteria, involving a total of 22 749 patients.6,9,14-34

Study Characteristics

The eTable in Supplement 1 provides an overview of the study characteristics. The majority of studies (n = 21) were retrospective,6,9,14-34 whereas 2 were prospective6,28 and 1 was a randomized clinical trial.16 All included studies examined the association between cirAE development and cancer prognosis. A total of 7 studies included only OS data,9,14-19 3 studies provided only PFS data,6,20,21 and 13 studies provided both OS and PFS data.22-34 In terms of ICI type, most eligible studies focused on PD-1 inhibitors and/or PD-L1 inhibitors6,9,14,15,17,18,20-34; only 2 studies examined CTLA-4 inhibitors.16,19 With regard to geographic region, 8 studies were conducted in Asia-Pacific countries,6,15,18,20,22,23,25,26 8 in European countries,17,21,24,28-30,32,34 and 7 in the US.9,14,16,19,27,31,33 In terms of cancer type, 9 studies focused on melanoma,6,14-17,22,30,32,34 7 on NSCLC,23-26,28,29,31 and 1 on metastatic renal cell carcinoma21; the remaining 6 included mixed tumor types.9,18-20,27,33

We used NOS criteria to evaluate the quality of each study included in the meta-analysis. Ratings ranged from 6 to 9 (mean [SD] rating, 7.26 [0.94]) (eTable in Supplement 1). Based on the NOS criteria, all studies met the minimum quality threshold and were included in our comprehensive meta-analysis.

Association of cirAE Development With OS and PFS

Twenty articles examined cirAE development and its association with OS among patients receiving ICI treatment.9,14-19,22-34 Sixteen articles evaluated the association between cirAEs and PFS.6,20-34 For example, Min Lee et al27 reported that OS and PFS data were specifically related to the dermatitis subtype. Bottlaender et al30 provided OS and PFS data for 2 cohorts (case and control), along with OS data for 2 distinct cirAE types. Thompson et al31 reported OS and PFS data for multiple cirAE types. Nakamura et al,22 Dousset et al,32 and Nardin et al34 included OS and PFS data specifically for the vitiligo subtype. Nelson et al33 presented OS and PFS data for the bullous pemphigoid subtype. Tang et al9 and Zhang et al19 reported OS data for 17 and 10 cirAE types, respectively.

Our meta-analysis of OS included 16 trials,9,14-19,23-31 and an association between cirAE occurrence and longer OS (HR, 0.61 [95% CI, 0.52-0.72]; I2 = 70.7%; P < .001) was observed (Figure 2A). The meta-analysis of PFS included 12 articles,6,20,21,23-31 and we observed that patients who experienced cirAEs after ICI treatment had better PFS than those who did not (HR, 0.52 [95% CI, 0.41-0.65]; I2 = 45.1%; P < .001) (Figure 2B).

Landmark Analysis of cirAEs With OS and PFS

Landmark analysis was used to address guarantee-time bias in the evaluation of the association between treatment and survival. Results (using a minimum of 6 weeks) were available for 11 studies with data for OS9,14-16,18,19,23,24,26,29,31 and for 8 studies with corresponding data for PFS.6,21,23-26,29,31 Meta-analysis of these selected studies revealed a significant advantage in terms of PFS (HR, 0.65 [95% CI, 0.54-0.79]; P < .001), with minimal heterogeneity (I2 = 0%). Moreover, patients who experienced cirAEs demonstrated improved OS (HR, 0.69 [95% CI, 0.59-0.80]; I2 = 65.8%; P < .001) compared with those who did not (Figure 3).

Subgroup Analysis
Stratification by cirAE Subtype

In the subgroup analysis based on cirAE subtypes,12 patients who had one of the following cirAE subtypes had a significant advantage in OS compared with participants who did not: eczematous (HR, 0.69 [95% CI, 0.50-0.93]; I2 = 0%; P = .02), lichenoid or lichen planus-like skin lesions (HR, 0.51 [95% CI, 0.38-0.69]; I2 = 0%; P < .001), pruritus without rash (HR, 0.70 [95% CI, 0.62-0.79]; I2 = 0%; P < .001), psoriasis (HR, 0.63 [95% CI, 0.47-0.84]; I2 = 6.3%; P = .001), or vitiligo (HR, 0.30 [95% CI, 0.19-0.46]; I2 = 55.5%; P < .001). For PFS, vitiligo was the only cirAE subtype with a significant advantage (HR, 0.28 [95% CI, 0.19-0.43]; I2 = 16.5%; P < .001). However, no statistically significant difference was observed for the bullous pemphigoid and exanthem subtypes (Table).

Stratification by Geographic Region

The included studies were from the Asia-Pacific, Europe, and US regions. For OS, a significant advantage was observed for patients in Asia-Pacific countries (HR, 0.48 [95% CI, 0.39-0.60]; I2 = 10.0%; P < .001), Europe (HR, 0.47 [95% CI, 0.30-0.72]; I2 = 48.1%; P = .001), and the US (HR, 0.81 [95% CI, 0.71-0.91]; I2 = 49.5%; P = .001) who were treated with ICIs and developed cirAEs. For PFS, a significant advantage was also observed for these patients in Asia-Pacific countries (HR, 0.51 [95% CI, 0.38-0.68]; I2 = 0%; P < .001) and Europe (HR, 0.49 [95% CI, 0.34-0.70]; I2 = 52.1%; P < .001) but not in the US (HR, 0.56 [95% CI, 0.18-1.81]; I2 = 86.0%; P = .34) (Table).

Stratification by Study Design

The included studies were classified as retrospective, prospective, or randomized clinical trials. Because of the paucity of data, we only examined retrospective studies for OS (HR, 0.61 [95% CI, 0.51-0.73]; I2 = 72.2%; P < .001) and PFS (HR, 0.56 [95% CI, 0.44-0.70]; I2 = 39.4%; P < .001). Consistent findings for PFS were observed for the prospective trials (HR, 0.33 [95% CI, 0.16-0.68]; I2 = 43.0%; P = .03).

Stratification by ICI Type

Only 1 study16 reported on OS or PFS associated with anti–CTLA-4 treatment combined with various ICI types. Consequently, we performed a subgroup analysis specifically focusing on OS and PFS outcomes of PD-1 or PD-L1 inhibitors, and we observed that cirAEs were associated with improved OS and PFS (Table).

Stratification by Cancer Type

Among the cancer types analyzed in this meta-analysis, the most frequently included were melanoma (9 studies) and NSCLC (7 studies). The pooled data analysis revealed a noteworthy association between cirAE incidence and enhanced OS (HR, 0.51 [95% CI, 0.37-0.71]; I2 = 55.1%; P < .001) and PFS (HR, 0.45 [95% CI, 0.32-0.65]; I2 = 0%; P < .001) among patients with melanoma. Similarly, patients with NSCLC who received ICI treatment also demonstrated prolonged OS (HR, 0.50 [95% CI, 0.33-0.77]; I2 = 66.9%; P = .002) and PFS (HR, 0.61 [95% CI, 0.46-0.80]; I2 = 45.4%; P < .001).

Sensitivity Analysis

To assess the association between each study and overall risk estimates, sensitivity analyses were conducted by systematically excluding individual studies. Irrespective of the particular study omitted, the associations between the presence of cirAEs and the prognosis of patients receiving ICI treatment, as determined by OS and PFS, remained consistent (eFigures 1 and 3 in Supplement 1). Furthermore, the results of the sensitivity analysis focusing on studies with low risk of bias were consistent with the overall estimate, supporting the validity of the findings (eFigures 2 and 4 in Supplement 1).

Publication Bias

Begg funnel plots and the Egger test were used to evaluate publication bias. In the case of PFS data, visual analysis of the funnel plot (eFigure 6 in Supplement 1) revealed publication bias, which was validated by the Begg test and the Egger test. Similarly, the funnel plot for OS showed asymmetry that was consistent with results of the Egger test but not the Begg test (eFigure 5 in Supplement 1). The trim-and-fill method was used to analyze whether publication bias affected the combined results. Although 4 studies were imputed for OS and 5 studies were imputed for PFS, the resulting output did not substantially deviate from the original results, indicating the robustness and stability of the findings (eFigures 7 and 8 in Supplement 1).

Discussion

Although numerous systematic reviews and meta-analyses have investigated the emergence of irAEs and their association with treatment effectiveness and survival outcomes, there has been a paucity of reviews examining potential associations between cirAE emergence and prognosis among patients receiving ICI treatment. To date, the precise association between cirAEs and prognosis in the context of various ICI types, cancer types, cirAE subtypes, or geographic regions remains controversial. This extensive meta-analysis included 23 studies involving a total of 22 749 patients. The findings suggest that patients with cancer who were treated with ICIs and developed cirAEs had substantially longer OS and improved PFS compared with those who were not. These findings are consistent with previous meta-analyses that reported an association between cirAE prevalence and improved PFS and OS. Hence, the emergence of cirAEs can serve as a prognostic factor for patients with cancer undergoing ICI treatment.2,35-38 Additionally, to minimize potential bias associated with the varying durations of ICI exposure, we performed a landmark analysis for both PFS and OS among patients with a minimum exposure period of 6 weeks. The findings supported the hypothesis that the presence of cirAEs is associated with long-term therapeutic advantages (PFS and OS) among patients treated with ICIs.

The association between cirAE subtypes and prognosis was also investigated. The majority of cirAEs manifested as vitiligo, which exhibited the most favorable OS and PFS outcomes. These findings aligned with previous studies examining the association between vitiligo and prognosis among patients with melanoma.39 Although the precise underlying mechanism remains unknown, Zhang et al19 suggested that epitope spreading leading to clonal diversification of T-cell responses may contribute to robust antitumor activity.

To date, the exact mechanism of irAEs has not been clarified. The CTLA-4 immune checkpoint has been shown to suppress immune response through various mechanisms, including attenuation of T-cell activation during the initial stages of the immune response; in contrast, PD-1 is generally believed to suppress T cells during later stages of the immune response in peripheral tissues.40 Uncontrolled immune activation resulting from ICIs targeting these immune checkpoints can lead to a wide range of irAEs, including cirAEs. Consequently, based on the underlying mechanism of irAEs, it is logical to surmise that the emergence of irAEs signifies a more favorable prognosis. However, limited data were available for the CTLA-4 subgroup, necessitating further investigation.

Substantial heterogeneity was observed in this meta-analysis, which can be partially attributed to subgroup analysis based on cancer type. Differences in cirAE development among patients with different cancer types (eg, NSCLC and melanoma) who receive ICIs, as well as variations in ICI types, may have contributed to this heterogeneity. However, the paucity of studies reporting relevant results highlights the need for further research to identify the potential associations.

To our knowledge, this study represents the most extensive systematic review and meta-analysis conducted thus far regarding the association between cirAE occurrence and cancer prognosis among patients undergoing ICI treatment. This investigation incorporated all currently available studies, encompassing both retrospective and prospective designs. Additionally, our research accounted for the various risk factors associated with cirAEs, as defined by Delphi consensus, thus resulting in a comprehensive, precise, and intricate analysis. Notably, this meta-analysis comprehensively examined 2 crucial clinical outcomes: OS and PFS. Moreover, we performed subgroup analyses considering study design, geographic region, ICI type, and cancer type, aiming to minimize confounding variables that may potentially affect the results and provide a more realistic assessment of the association between targeted risk factors and patient outcomes.

Limitations

Our study has various limitations that should be acknowledged. First, the majority of the data came from retrospective studies, adding possible biases such as recall bias and selection bias. Second, when HRs were not supplied in the original research, we collected data from Kaplan-Meier survival curves and computed HRs, which may have contributed to small statistical errors. Third, the limited availability of studies with specific subgroups of patients, such as studies with patients receiving anti–CTLA-4 treatment and studies with a prospective design, might have yielded less conclusive findings. Finally, the Egger tests uncovered substantial publication bias within the analyses of OS and PFS, suggesting that this may exaggerate the pooled results.

Conclusions

In this systematic review and meta-analysis, an association was observed between the existence of cirAEs and improved cancer prognosis among patients receiving ICI treatment. These data suggest that cirAEs may have useful prognostic value in ICI treatment. More large-scale prospective studies are needed to validate and establish the association between cirAEs and survival outcomes, especially for different grades of cirAEs and interactions with multisystem irAEs.

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Article Information

Accepted for Publication: July 4, 2023.

Published Online: September 6, 2023. doi:10.1001/jamadermatol.2023.3003

Corresponding Author: Fei Wang, MD, Department of Dermatology, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing 210009, China (ffwangfei@163.com).

Author Contributions: Dr Du had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Du, Wu, Dong, Wang.

Acquisition, analysis, or interpretation of data: Du, Wu, Chen, Wang.

Drafting of the manuscript: Du, Wu, Wang.

Statistical analysis: Du, Wu, Wang.

Obtained funding: Du, Wu.

Administrative, technical, or material support: All authors.

Conflict of Interest Disclosures: None reported.

Funding/Support: The preparation, review, and approval of this manuscript was supported by grant SJCX22_0069 from the Postgraduate Research & Practice Innovation Program of Jiangsu Province.

Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Data Sharing Statement: See Supplement 2.

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