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Boutros A, Bottini A, Rossi G, Tanda ET, Spagnolo F, Barletta G, Croce E, Fava P, Parisi A, De Rosa F, Palla M, Marconcini R, Ferrari M, Grandis M, Spallarossa P, Sarocchi M, Arboscello E, Del Mastro L, Lambertini M, Pronzato P, Genova C. Neuromuscular and cardiac adverse events associated with immune checkpoint inhibitors: pooled analysis of individual cases from multiple institutions and literature. ESMO Open 2023; 8:100791. [PMID: 36791639 PMCID: PMC9958259 DOI: 10.1016/j.esmoop.2023.100791] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 12/12/2022] [Accepted: 01/04/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) have revolutionized the management of multiple tumors, due to improved efficacy, quality of life, and safety. While most immune-related adverse events (irAEs) are mild and easily managed, in rare cases such events may be life-threatening, especially those affecting the neuromuscular and cardiac system. The management of neuromuscular/cardiac irAEs is not clear due to the lack of consistent data. Therefore, we carried out a pooled analysis of collected cases from selected Italian centers and individual data from published case reports and case series, in order to improve our understanding of these irAEs. PATIENTS AND METHODS We collected retrospective data from patients treated in six Italian centers with ICIs (programmed cell death protein 1 or programmed death-ligand 1 and/or cytotoxic T-lymphocyte antigen 4 inhibitor) for any solid tumor who experienced neuromuscular and/or cardiovascular toxicity. Then, we carried out a search of case reports and series of neuromuscular/cardiac irAEs from ICIs with any solid tumor. RESULTS This analysis includes cases from Italian institutions (n = 18) and the case reports identified in our systematic literature search (n = 120), for a total of 138 patients. Among these patients, 50 (36.2%) had complete resolution of their neuromuscular/cardiac irAEs, in 21 (15.2%) cases there was a clinical improvement with mild sequelae, and 53 (38.4%) patients died as a result of the irAEs. Factors significantly associated with worse outcomes were early irAE onset, within the first two cycles of ICI (Fisher P < 0.0001), clinical manifestation of both myositis and myocarditis when compared with patients who developed only myositis or myocarditis (chi-square P = 0.0045), and the development of arrhythmia (Fisher P = 0.0070). CONCLUSIONS To the best of our knowledge, this is the largest collection of individual cases of immune-related myocarditis/myositis. Early irAE onset, concurrent development of myositis and myocarditis, as well as occurrence of arrhythmias are associated with worse outcomes and should encourage an aggressive immunomodulatory treatment.
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Affiliation(s)
- A Boutros
- Medical Oncology 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genoa, Genova, Italy.
| | - A Bottini
- Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genoa, Genova, Italy
| | - G Rossi
- Medical Oncology 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - E T Tanda
- Medical Oncology 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - F Spagnolo
- Medical Oncology 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), Plastic Surgery Division, University of Genova, Genoa, Italy
| | - G Barletta
- Medical Oncology 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - E Croce
- Medical Oncology 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - P Fava
- Department of Medical Sciences, Dermatologic Clinic, University of Turin, Torino, Italy
| | - A Parisi
- Department of Life, Health & Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - F De Rosa
- IRCCS Istituto Romagnolo per lo Studio dei Tumori 'Dino Amadori', Meldola (FC), Italy
| | - M Palla
- Department of Skin Cancers, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Napoli, Italy
| | - R Marconcini
- Azienda Ospedaliero Universitaria Pisana, Medical Oncology Unit, Pisa, Italy
| | - M Ferrari
- Azienda Ospedaliero Universitaria Pisana, Medical Oncology Unit, Pisa, Italy
| | - M Grandis
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal and Infantile Sciences (DINOGMI), University of Genova, Genova, Italy; IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - P Spallarossa
- Cardiovascular Disease Unit, Ospedale Policlinico San Martino IRCCS, Genova, Italy
| | - M Sarocchi
- Cardiovascular Disease Unit, Ospedale Policlinico San Martino IRCCS, Genova, Italy
| | - E Arboscello
- Emergency Department, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - L Del Mastro
- Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genoa, Genova, Italy; Department of Medical Oncology, U.O.C. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - M Lambertini
- Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genoa, Genova, Italy; Department of Medical Oncology, U.O.C. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - P Pronzato
- Medical Oncology 2, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - C Genova
- Department of Internal Medicine and Medical Specialties (DiMI), School of Medicine, University of Genoa, Genova, Italy; Department of Medical Oncology, U.O.C. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy
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Zhuang J, Chen Z, Chen Z, Chen J, Liu M, Xu X, Liu Y, Yang S, Hu Z, He F. Construction of an immune-related lncRNA signature pair for predicting oncologic outcomes and the sensitivity of immunosuppressor in treatment of lung adenocarcinoma. Respir Res 2022; 23:123. [PMID: 35562727 PMCID: PMC9101821 DOI: 10.1186/s12931-022-02043-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 05/04/2022] [Indexed: 12/22/2022] Open
Abstract
Background Although immunotherapy has shown clinical activity in lung adenocarcinoma (LUAD), LUAD prognosis has been a perplexing problem. We aimed to construct an immune-related lncRNA pairs (IRLPs) score for LUAD and identify what immunosuppressor are appropriate for which group of people with LUAD. Methods Based on The Cancer Genome Atlas (TCGA)-LUAD cohort, IRLPs were identified to construct an IRLPs scoring system by Cox regression and validated in the Gene Expression Omnibus (GEO) dataset using log-rank test and the receiver operating characteristic curve (ROC). Next, we used spearman’s correlation analysis, t-test, signaling pathways analysis and gene mutation analysis to explore immune and molecular characteristics in different IRLP subgroups. The “pRRophetic” package was used to predict the sensitivity of immunosuppressant. Results The IRLPs score was constructed based on eight IRLPs calculated as 2.12 × (MIR31HG|RRN3P2) + 0.43 × (NKX2-1-AS1|AC083949.1) + 1.79 × (TMPO-AS1|LPP-AS2) + 1.60 × (TMPO-AS1|MGC32805) + 1.79 × (TMPO-AS1|PINK1-AS) + 0.65 × (SH3BP5-AS1|LINC01137) + 0.51 × (LINC01004|SH3PXD2A-AS1) + 0.62 × (LINC00339|AGAP2-AS1). Patients with a lower IRLPs risk score had a better overall survival (OS) (Log-rank test PTCGA train dataset < 0.001, PTCGA test dataset = 0.017, PGEO dataset = 0.027) and similar results were observed in the AUCs of TCGA dataset and GEO dataset (AUC TCGA train dataset = 0.777, AUC TCGA test dataset = 0.685, AUC TCGA total dataset = 0.733, AUC GEO dataset = 0.680). Immune score (Cor = -0.18893, P < 0.001), stoma score (Cor = -0.24804, P < 0.001), and microenvironment score (Cor = -0.22338, P < 0.001) were significantly decreased in the patients with the higher IRLP risk score. The gene set enrichment analysis found that high-risk group enriched in molecular changes in DNA and chromosomes signaling pathways, and in this group the tumor mutation burden (TMB) was higher than in the low-risk group (P = 0.0015). Immunosuppressor methotrexate sensitivity was higher in the high-risk group (P = 0.0052), whereas parthenolide (P < 0.001) and rapamycin (P = 0.013) sensitivity were lower in the high-risk group. Conclusions Our study established an IRLPs scoring system as a biomarker to help in the prognosis, the identification of molecular and immune characteristics, and the patient-tailored selection of the most suitable immunosuppressor for LUAD therapy. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-02043-4.
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Affiliation(s)
- Jinman Zhuang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.,Fujian Provincial Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, China.,Fujian Digital Tumor Data Research Center, Fuzhou, China
| | - Zhongwu Chen
- Department of Interventional Therapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Zishan Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.,Fujian Provincial Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, China.,Fujian Digital Tumor Data Research Center, Fuzhou, China
| | - Jin Chen
- Department of Interventional Therapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Maolin Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.,Fujian Provincial Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, China.,Fujian Digital Tumor Data Research Center, Fuzhou, China
| | - Xinying Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.,Fujian Provincial Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, China.,Fujian Digital Tumor Data Research Center, Fuzhou, China
| | - Yuhang Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.,Fujian Provincial Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, China.,Fujian Digital Tumor Data Research Center, Fuzhou, China
| | - Shuyan Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.,Fujian Provincial Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, China.,Fujian Digital Tumor Data Research Center, Fuzhou, China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China. .,Fujian Provincial Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, China. .,Fujian Digital Tumor Data Research Center, Fuzhou, China.
| | - Fei He
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China. .,Fujian Provincial Key Laboratory of Tumor Microbiology, Fujian Medical University, Fuzhou, China. .,Fujian Digital Tumor Data Research Center, Fuzhou, China.
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