1
|
Fujita K, Elkington PT. Cancer immunotherapy with immune checkpoint inhibitors and infections: A particular focus on mycobacterial infections. Respir Investig 2024; 62:339-347. [PMID: 38417355 DOI: 10.1016/j.resinv.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/12/2024] [Accepted: 02/11/2024] [Indexed: 03/01/2024]
Abstract
Cancer treatment is undergoing a major transformation with the advent of immunotherapy with immune checkpoint inhibitors. These drugs, which have a different mechanism of action from conventional cytotoxic chemotherapy, are transforming treatment paradigms for many patients suffering from advanced cancer. On the other hand, they are often complicated by specific adverse events, known as immune-related adverse events (irAEs). Infections occurring during immunotherapy with immune checkpoint inhibitors have recently received increasing attention and sometimes are seen as part of irAEs. Amongst these, mycobacterial infections have attracted particular attention. Recent reports have shown that infections occurring during immunotherapy can not only be caused by immunosuppression, but in addition new type of infections are observed that are not caused by immunosuppression. Specifically, tuberculosis (TB) has recently been shown to develop as a result of an imbalance in immunoregulation and an excessive immune response. This review highlights reports of infections during immunotherapy with immune checkpoint inhibitors, followed by a focus on the association with TB and nontuberculous mycobacteria. It concludes with a discussion of the possible mechanisms of pathogenesis and the implications for clinical practice.
Collapse
Affiliation(s)
- Kohei Fujita
- Division of Respiratory Medicine, Center for Respiratory Diseases, National Hospital Organization Kyoto Medical Center, Kyoto, Japan.
| | - Paul T Elkington
- NIHR Biomedical Research Centre, School of Clinical and Experimental Sciences, University of Southampton, Southampton, United Kingdom
| |
Collapse
|
2
|
Otoshi R, Ikeda S, Kaneko T, Sagawa S, Yamada C, Kumagai K, Moriuchi A, Sekine A, Baba T, Ogura T. Treatment Strategies for Non-Small-Cell Lung Cancer with Comorbid Respiratory Disease; Interstitial Pneumonia, Chronic Obstructive Pulmonary Disease, and Tuberculosis. Cancers (Basel) 2024; 16:1734. [PMID: 38730686 PMCID: PMC11083871 DOI: 10.3390/cancers16091734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 04/26/2024] [Accepted: 04/27/2024] [Indexed: 05/13/2024] Open
Abstract
Non-small cell lung cancer (NSCLC) patients are often complicated by other respiratory diseases, including interstitial pneumonia (IP), chronic obstructive pulmonary disease (COPD), and pulmonary tuberculosis (TB), and the management of which can be problematic. NSCLC patients with IP sometimes develop fatal acute exacerbation induced by pharmacotherapy, and the establishment of a safe treatment strategy is desirable. For advanced NSCLC with IP, carboplatin plus nanoparticle albumin-bound paclitaxel is a relatively safe and effective first-line treatment option. Although the safety of immune checkpoint inhibitors (ICIs) for these populations remains controversial, ICIs have the potential to provide long-term survival. The severity of COPD is an important prognostic factor in NSCLC patients. Although COPD complications do not necessarily limit treatment options, it is important to select drugs with fewer side effects on the heart and blood vessels as well as the lungs. Active TB is complicated by 2-5% of NSCLC cases during their disease course. Since pharmacotherapy, especially ICIs, reportedly induces the development of TB, the possibility of developing TB should always be kept in mind during NSCLC treatment. To date, there is no coherent review article on NSCLC with these pulmonary complications. This review article summarizes the current evidence and discusses future prospects for treatment strategies for NSCLC patients complicated with IP, severe COPD, and TB.
Collapse
Affiliation(s)
| | - Satoshi Ikeda
- Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, 6-16-1, Tomioka-higashi, Kanazawa-ku, Yokohama 236-0051, Japan; (R.O.); (T.K.); (S.S.); (C.Y.); (K.K.); (A.M.); (A.S.); (T.B.); (T.O.)
| | | | | | | | | | | | | | | | | |
Collapse
|
3
|
Chen P, Zhu J, Xu Y, Huang Q, Su J, Gao Z, Feng M. Risk factors of immune checkpoint inhibitor-associated acute kidney injury: evidence from clinical studies and FDA pharmacovigilance database. BMC Nephrol 2023; 24:107. [PMID: 37087434 PMCID: PMC10122540 DOI: 10.1186/s12882-023-03171-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 04/16/2023] [Indexed: 04/24/2023] Open
Abstract
BACKGROUND Several risk factors of immune checkpoint inhibitors (ICIs)-associated acute kidney injury (AKI) have been reported sporadically. To identify the risk factors of ICIs-associated AKI in a large-scale population, therefore we conducted a systematic review and a real-world retrospective study. METHODS We search literature concerning risk factors of ICIs-associated AKI in ClinicalTrials.gov and electronic databases (PubMed, Cochrane Library, Embase) up to January 2022. Meta-analysis was performed by using odds ratios (ORs) with 95%CIs. In a separate retrospective pharmacovigilance study by extracting data from US FDA Adverse Event Reporting System (FAERS) database, disproportionality was analyzed using the reporting odds ratio (ROR). RESULTS A total of 9 studies (5927 patients) were included in the meta-analysis. The following factors were associated with increased risk of ICIs-associated AKI, including proton pump inhibitors(PPIs) (OR = 2.07, 95%CI 1.78-2.42), angiotensin-converting enzyme inhibitors (ACEIs)/ angiotensin receptor blockers (ARBs) (OR = 1.56, 95%CI 1.24-1.95), nonsteroidal anti-inflammatory drugs (NSAIDs) (OR = 1.29, 95%CI 1.01-1.65), diuretics (OR = 2.00, 95%CI 1.38-2.89), diabetes mellitus (OR = 1.28, 95%CI 1.04-1.57), genitourinary cancer (OR = 1.46, 95%CI 1.15-1.85), combination therapy of ICIs (OR = 1.93, 95%CI 1.25-2.97) and extrarenal immune-related adverse events(irAEs) (OR = 2.51, 95%CI 1.96-3.20). Furthermore, analysis from FAERS database verified that concurrent exposures of PPIs (ROR = 2.10, 95%CI 1.91-2.31), ACEIs/ARBs (ROR = 3.25, 95%CI 2.95-3.57), NSAIDs (ROR = 3.06, 95%CI 2.81-3.32) or diuretics (ROR = 2.82, 95%CI 2.50-3.19) were observed significant signals associated with AKI in ICIs-treated patients. CONCLUSIONS Concurrent exposures of PPIs, ACEIs/ARBs, NSAIDs or diuretics, diabetes mellitus, genitourinary cancer, combination therapy, and extrarenal irAEs seem to increase the risk of AKI in ICIs-treated patients.
Collapse
Affiliation(s)
- Pengwei Chen
- Department of Nephrology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - Jianhong Zhu
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
- Department of Pharmacy, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - Yanchun Xu
- Department of Nephrology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - Qiuyan Huang
- Department of Nephrology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - Jianan Su
- Department of Nephrology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - Ziqing Gao
- Department of Nephrology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China
| | - Min Feng
- Department of Nephrology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| |
Collapse
|
4
|
He Y, Peng D, Liang P, Long J, Liu A, Zeng Z. Immune Checkpoint Inhibitors and Tuberculosis Infection in Lung Cancer: A Case Series and Systematic Review With Pooled Analysis. J Clin Pharmacol 2023; 63:397-409. [PMID: 36309847 DOI: 10.1002/jcph.2170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/14/2022] [Indexed: 11/06/2022]
Abstract
The association between immune checkpoint inhibitors (ICIs) and tuberculosis (TB) infection in patients with lung cancer remains largely elusive. We performed a systematic review and conducted a retrospective analysis of TB infection in patients with lung cancer and ICI exposure to assess the clinical characteristics and outcomes using PubMed, EMBASE, and the Cochrane Library. The time interval from ICI administration to diagnosis of TB between patients with and without a history of TB was compared using Kaplan-Meier analysis. A multivariate Cox regression model was used to identify potential risk factors associated with the time interval of TB development. Twenty-four studies including 53 patients with lung cancer were included. The median age of the patients was 64 years. Eight patients had a history of TB. The median time interval from ICI administration to TB diagnosis was 3 months. In retrospective analysis, 5 (1.16%, 95%CI 0.38% to 2.68%) patients with lung cancer developed TB during ICI treatment. The median time interval was 10.4 months. In a pooled analysis, the median time interval in the without-TB and with-TB groups was 7.00 and 2.35 months, respectively (P = .034). Multivariate Cox regression analyses revealed a history of TB to be an independent factor affecting the time interval of TB activation in patients with lung cancer and ICI exposure (HR 3.59; 95%CI 1.17 to 11.02; P = .026). Therefore, TB infection should be considered in patients with lung cancer during or after ICI treatment. Moreover, we found TB history to be a positive risk factor for a shorter median time interval from ICI to TB diagnosis in patients with lung cancer receiving ICI.
Collapse
Affiliation(s)
- Yanqing He
- Department of Nosocomial Infection Control, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, PR China
| | - Duanyang Peng
- Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, PR China
| | - Pingan Liang
- Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, PR China
| | - Jie Long
- Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, PR China
| | - Anwen Liu
- Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, PR China.,Radiation Induced Heart Damage Institute of Nanchang University, Nanchang, Jiangxi Province, PR China.,Jiangxi Key Laboratory of Clinical Translational Cancer Research, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Zhimin Zeng
- Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, PR China.,Radiation Induced Heart Damage Institute of Nanchang University, Nanchang, Jiangxi Province, PR China.,Jiangxi Key Laboratory of Clinical Translational Cancer Research, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| |
Collapse
|
5
|
Xia S, Gong H, Wang YK, Liu L, Zhao YC, Guo L, Zhang BK, Sarangdhar M, Noguchi Y, Yan M. Pneumocystis jirovecii pneumonia associated with immune checkpoint inhibitors: A systematic literature review of published case reports and disproportionality analysis based on the FAERS database. Front Pharmacol 2023; 14:1129730. [PMID: 37007042 PMCID: PMC10050453 DOI: 10.3389/fphar.2023.1129730] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/03/2023] [Indexed: 03/17/2023] Open
Abstract
Background: Pneumocystis jirovecii pneumonia (PJP) has been reported with ICIs but limited to case reports. The clinical features of PJP with ICIs remain mostly unknown. This study aims to investigate the association of PJP with ICIs and describe clinical features.Methods: Reports of PJP recorded in FAERS (January 2004–December 2022) were identified through the preferred term “Pneumocystis jirovecii pneumonia”. Demographic and clinical features were described, and disproportionality signals were assessed through the Reporting Odds Ratio (ROR) and Information Component (IC), using traditional chemotherapy and targeted therapy as comparators, and adjusting signals by excluding contaminant immunosuppressive drugs and pre-existing diseases. A systematic literature review was conducted to describe clinical features of published PJP reports with ICIs. Bradford Hill criteria was adopted for global assessment of the evidence.Results: We identified 677 reports of PJP associated with ICIs, in which 300 (44.3%) PJP cases with fatal outcome. Nivolumab (IC025 2.05), pembrolizumab (IC025 1.88), ipilimumab (IC025 1.43), atezolizumab (IC025 0.36), durvalumab (IC025 1.65), nivolumab plus ipilimumab (IC025 1.59) have significant signals compared to other drugs in FAERS database. After excluding pre-existing diseases and immunosuppressive agents which may increase susceptibility of PJP, the signals for PJP associated with nivolumab, pembrolizumab, durvalumab, nivolumab plus ipilimumab remained robust (IC025 > 0). When compared to other anticancer regimens, although all ICIs showed a lower disproportionate signal for PJP than chemotherapy, nivolumab (IC025 0.33, p < 0.001), pembrolizumab (IC025 0.16, p < 0.001), both PD-1 inhibitors, presented a higher signal for PJP than targeted therapy. Male gender (IC025 0.26, p < 0.001) and age >65 years (IC025 0.38, p < 0.001) were predominant in PJP cases associated with across all ICIs. In literature, 15 PJP cases associated with ICIs were reported in 10 published case reports. 12 of 15 (80.0%) of cases received PD-1 inhibitors before PJP was diagnosed.Conclusion: By the combined analysis of post-marketing data from FAERS and published case reports, we identified ICIs may be associated with PJP, especially in males aged >65years. After accounting for confounders, PD-1 inhibitors emerged with a robust disproportionality signal when compared to PD-L1/CTLA-4 inhibitors as well as targeted therapy. Further research is warranted to validate our findings.
Collapse
Affiliation(s)
- Shuang Xia
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Hunan, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China
- Toxicology Counseling Center of Hunan Province, Hunan, China
| | - Hui Gong
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Hunan, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China
- Toxicology Counseling Center of Hunan Province, Hunan, China
| | - Yi-kun Wang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Hunan, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China
- Toxicology Counseling Center of Hunan Province, Hunan, China
| | - Ling Liu
- Hunan University of Chinese Medicine, Hunan, China
| | - Yi-chang Zhao
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Hunan, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China
- Toxicology Counseling Center of Hunan Province, Hunan, China
| | - Lin Guo
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Hunan, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China
- Toxicology Counseling Center of Hunan Province, Hunan, China
| | - Bi-kui Zhang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Hunan, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China
- Toxicology Counseling Center of Hunan Province, Hunan, China
| | - Mayur Sarangdhar
- Division of Oncology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
- Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan
| | - Yoshihiro Noguchi
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
| | - Miao Yan
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Hunan, China
- International Research Center for Precision Medicine, Transformative Technology and Software Services, Hunan, China
- Toxicology Counseling Center of Hunan Province, Hunan, China
- *Correspondence: Miao Yan,
| |
Collapse
|
6
|
Type 1 diabetes with immune checkpoint inhibitors: A systematic analysis of clinical trials and a pharmacovigilance study of postmarketing data. Int Immunopharmacol 2022; 110:109053. [DOI: 10.1016/j.intimp.2022.109053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 07/07/2022] [Accepted: 07/11/2022] [Indexed: 12/30/2022]
|