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Thompson JJ, McGovern J, Roxburgh CSD, Edwards J, Dolan RD, McMillan DC. The relationship between LDH and GLIM criteria for cancer cachexia: Systematic review and meta-analysis. Crit Rev Oncol Hematol 2024; 199:104378. [PMID: 38754770 DOI: 10.1016/j.critrevonc.2024.104378] [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: 10/12/2023] [Revised: 04/02/2024] [Accepted: 04/30/2024] [Indexed: 05/18/2024] Open
Abstract
INTRODUCTION Cancer cachexia is a clinical condition characterized by recognizable "sickness behaviors" accompanied by loss of lean body tissue. The Global Leadership on Malnutrition (GLIM) has proposed phenotypic (unintentional weight loss, low body mass index and low muscle mass) and aetiologic (reduced food intake and inflammation or disease burden) diagnostic criteria. Recent work has suggested serum lactate dehydrogenase (LDH) might represent a 3rd aetiologic criteria. Little is known of its relationship with GLIM. A systematic review and meta-analysis of their comparative prognostic value and association was performed. METHODS A search of electronic databases (PubMed, Medline, Ovid, Cochrane) up to February 2023 was used to identify studies that compared the prognostic value of LDH and components of the GLIM criteria in cancer. An analysis of the relationship between LDH and the components of GLIM was undertaken where this data was available. RevMan 5.4.1 was used to perform a meta-analysis for each diagnostic criteria that had 3 or more studies which reported hazard ratios with a 95 per cent confidence interval for overall survival (OS). RESULTS A total of 119 studies were reviewed. Advanced lung cancer was the most studied population. Included in the meta-analysis were 6 studies (n=2165) on LDH and weight loss, 17 studies (n=7540) on LDH and low BMI, 5 studies (n=758) on LDH and low muscle mass, 0 studies on LDH and food intake and 93 studies (n=32,190) on LDH and inflammation. There was a significant association between elevated serum LDH and each of low BMI (OR 1.39, 1.09 - 1.77; p=0.008), elevated NLR (OR 2.04, 1.57 - 2.65; p<0.00001) and elevated CRP (OR 2.58, 1.81 - 3.67; p<0.00001). There was no association between elevated serum LDH and low muscle mass. Only one study presented data on the association between LDH and unintentional weight loss. Elevated LDH showed a comparative OS (HR 1.86, 1.57 - 2.07; p<0.00001) to unintentional weight loss (HR 1.57, 1.23 - 1.99; p=0.0002) and had a similar OS (HR 2.00, 1.70 - 2.34; p<0.00001) to low BMI (HR 1.57, 1.29-2.90; p<0.0001). LDH also showed an OS (HR 2.25, 1.76 - 2.87; p<0.00001) congruous with low muscle mass (HR 1.93, 1.14 - 3.27; p=0.01) and again, LDH conferred as poor an OS (HR 1.77, 1.64-1.90; p<0.00001) as elevated NLR (HR 1.61, 1.48 - 1.77; p<0.00001) or CRP (HR 1.55, 1.43 - 1.69; p<0.00001). CONCLUSION Current literature suggests elevated serum LDH is associated with inflammation in cancer (an aetiologic GLIM criterion), however more work is required to establish the relationship between LDH and the phenotypic components of GLIM. Additionally, elevated serum LDH appears to be a comparative prognosticator of overall survival in cancer when compared to the GLIM criteria.
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Affiliation(s)
- Joshua J Thompson
- Academic Unit of Surgery, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, UK.
| | - Josh McGovern
- Academic Unit of Surgery, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, UK
| | - Campbell S D Roxburgh
- Academic Unit of Surgery, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, UK
| | - Joanne Edwards
- Wolfson Wohl Cancer Research Centre, School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Ross D Dolan
- Academic Unit of Surgery, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, UK
| | - Donald C McMillan
- Academic Unit of Surgery, School of Medicine, University of Glasgow, Glasgow Royal Infirmary, Glasgow, UK
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Ma S, Li F, Li J, Wang L, Song H. Risk factor analysis and nomogram prediction model construction of postoperative complications of thoracoscopic non-small cell lung cancer. J Thorac Dis 2024; 16:3655-3667. [PMID: 38983183 PMCID: PMC11228728 DOI: 10.21037/jtd-24-113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/30/2024] [Indexed: 07/11/2024]
Abstract
Background A series of complications will inevitably occur after thoracoscopic pulmonary resection. How to avoid or reduce postoperative complications is an important research area in the perioperative treatment of thoracic surgery. This study analyzed the risk factors for thoracoscopic postoperative complications of non-small cell lung cancer (NSCLC) and established a nomogram prediction model in order to provide help for clinical decision-making. Methods Patients with NSCLC who underwent thoracoscopic surgery from January 2017 to December 2021 were selected as study subjects. The relationship between patient characteristics, surgical factors, and postoperative complications was collected and analyzed. Based on the results of the statistical regression analysis, a nomogram model was constructed, and the predictive performance of the nomogram model was evaluated. Results A total of 872 patients who met the study criteria were included in the study. A total of 171 patients had complications after thoracoscopic surgery, accounting for 19.6% of the study population. Logistic regression analysis showed that thoracic adhesion, history of respiratory disease, and lymphocyte-monocyte ratio (LMR) were independent risk factors for complications after thoracoscopic surgery (P<0.05). Variables with P<0.1 in logistic regression analysis were included in the nomogram model. The verification results showed that the area under curve (AUC) of the model was 0.734 [95% confidence interval (CI): 0.693-0.775], and the calibration curve showed that the model had good differentiation. The decision curve analysis (DCA) curve showed that this model has good clinical application value. In subgroup analysis of complications, gender, history of respiratory disease, body mass index (BMI), type of surgical procedure, thoracic adhesion, and Time of operation were identified as significant risk factors for prolonged air leak (PAL) after surgery. Tumor location and forced expiratory volume in the first second (FEV1) were identified as important risk factors for postoperative pulmonary infection. N stage and thoracic adhesion were identified as significant risk factors for postoperative pleural effusion. The AUC for PAL was 0.823 (95% CI: 0.768-0.879). The AUC of postoperative pulmonary infection was 0.714 (95% CI: 0.627-0.801). The AUC of postoperative pleural effusion was 0.757 (95% CI: 0.650-0.864). The calibration curve and DCA curve indicated that the model had good predictive performance and clinical application value. Conclusions This study analyzed the risk factors affecting the postoperative complications of NSCLC through thoracoscopic surgery, and the nomogram model built based on the influencing factors has certain significance for the identification and reduction of postoperative complications.
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Affiliation(s)
- Shixin Ma
- Dalian Medical University Graduate School, Dalian, China
- Department of Thoracic Surgery, Qingdao Municipal Hospital, Qingdao, China
| | - Fei Li
- Department of Thoracic Surgery, Qingdao Municipal Hospital, Qingdao, China
| | - Jian Li
- Department of Thoracic Surgery, Peking University First Hospital, Beijing, China
| | - Lunqing Wang
- Department of Thoracic Surgery, Qingdao Municipal Hospital, Qingdao, China
| | - Haiping Song
- Department of Oncology, Qingdao Central Hospital, Qingdao, China
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Wang Y, Lei Y, Zheng D, Yang Y, Luo L, Li J, Xie X. Prognostic value of lung immune prognostic index in non-small cell lung cancer patients receiving immune checkpoint inhibitors: a meta-analysis. Pathol Oncol Res 2024; 30:1611773. [PMID: 38966280 PMCID: PMC11222319 DOI: 10.3389/pore.2024.1611773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 06/11/2024] [Indexed: 07/06/2024]
Abstract
Background and Purpose Until now, it has been difficult to accurately predict the efficacy of immunotherapy in patients with non-small cell lung cancer (NSCLC). A novel indicator, the lung immune prognostic index (LIPI), has shown relatively high prognostic value in patients with solid cancer. Therefore, this study aimed to further identify the association between LIPI and the survival of patients with NSCLC who receive immune checkpoint inhibitors (ICIs). Methods Several electronic databases were searched for available publications up to April 23, 2023. Immunotherapy outcomes included overall survival (OS), progression-free survival (PFS), and hazard ratios (HRs) with 95% confidence intervals (CIs). Subgroup analysis based on the study design and comparison of the LIPI was conducted. Results In this meta-analysis, 21 studies with 9,010 patients were included in this meta-analysis. The pooled results demonstrated that elevated LIPI was significantly associated with poor OS (HR = 2.50, 95% CI:2.09-2.99, p < 0.001) and PFS (HR = 1.77, 95% CI:1.64-1.91, p < 0.001). Subgroup analyses stratified by study design (retrospective vs. prospective) and comparison of LIPI (1 vs. 0, 2 vs. 0, 1-2 vs. 0, 2 vs. 1 vs. 0, 2 vs. 0-1 and 2 vs. 1) showed similar results. Conclusion LIPI could serve as a novel and reliable prognostic factor in NSCLC treated with ICIs, and elevated LIPI predicts worse prognosis.
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Affiliation(s)
| | | | | | | | | | | | - Xiaoyang Xie
- Department of Thoracic Surgery, The First People’s Hospital of Neijiang, Neijiang Affiliated Hospital of Chongqing Medical University, Neijiang, Sichuan, China
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Guo Y, Pan Y, Wan J, Gong B, Li Y, Kan X, Zheng C. Prognosis stratification of cancer patients treated with immune checkpoint inhibitors through lung immune prognostic index: a meta-analysis and systematic review. BMC Cancer 2024; 24:523. [PMID: 38664760 PMCID: PMC11047037 DOI: 10.1186/s12885-024-12271-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Although numerous studies have reported the prognostic value of the lung immune prognostic index (LIPI) in non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs), the prognostic value of the LIPI in a pancancer setting remains unclear. METHODS A comprehensive search was conducted until July 2023 across the PubMed, Embase, Web of Science, and Cochrane Library databases to identify relevant studies evaluating the prognostic value of the LIPI in cancer patients treated with ICIs. The outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). We described and compared the pooled outcomes by stratifying the patients based on different groupings of LIPI (good vs. intermediate [0 vs. 1], good vs. poor [0 vs. 2], and good vs. intermediate / poor [0 vs. 1 + 2]). RESULTS A total of 9959 patients in 35 studies were included. A higher score of LIPI was associated with impaired OS. The pooled HRs were 1.69 (95% CI: 1.55-1.85, p < 0.001; 0 vs. 1), 3.03 (95% CI: 2.53-3.63, p < 0.001; 0 vs. 2), and 2.38 (95% CI: 1.97-2.88, p < 0.001; 0 vs. 1 + 2). A higher LIPI score was associated with shorter PFS. The pooled HRs were 1.41 (95% CI: 1.31-1.52, p < 0.001; 0 vs. 1), 2.23 (95% CI: 1.87-2.66, p < 0.001; 0 vs. 2), and 1.65 (95% CI: 1.46-1.86, p < 0.001; 0 vs. 1 + 2). Similarly, a higher LIPI score was associated with a lower ORR. The pooled ORs were 0.63 (95% CI: 0.54-0.75, p < 0.001; 0 vs. 1) and 0.38 (95% CI: 0.29-0.50, p < 0.001; 0 vs. 2). A higher LIPI score was associated with a lower DCR. The pooled ORs were 0.47 (95% CI: 0.35-0.61, p < 0.001; 0 vs. 1) and 0.19 (95% CI: 0.12-0.30, p < 0.001; 0 vs. 2). CONCLUSION In patients with NSCLC or other solid tumours, the lung immune prognostic index could robustly stratify the clinical outcomes into three groups among the patients who receive ICIs. LIPI is a low-cost, simple, accessible, and accurate prognostic tool in a pancancer setting and it may contribute to the evaluation of risk stratification in patients treated with ICIs.
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Affiliation(s)
- Yusheng Guo
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, 430022, Wuhan, China
| | - Yao Pan
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Fujian Medical University, 362000, Quanzhou, China
| | - Jiayu Wan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, 430022, Wuhan, China
| | - Bingxin Gong
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, 430022, Wuhan, China
| | - Yi Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
- Hubei Key Laboratory of Molecular Imaging, 430022, Wuhan, China
| | - Xuefeng Kan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China.
- Hubei Key Laboratory of Molecular Imaging, 430022, Wuhan, China.
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China.
- Hubei Key Laboratory of Molecular Imaging, 430022, Wuhan, China.
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Zhang H, Hu Y, Wu T, Chen Y, Yang B, Xie T. Clinical characteristics and novel strategies of immune checkpoint inhibitor rechallenge therapy for non-small cell lung cancer: a comprehensive review. Front Immunol 2024; 14:1309055. [PMID: 38283354 PMCID: PMC10811167 DOI: 10.3389/fimmu.2023.1309055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 12/22/2023] [Indexed: 01/30/2024] Open
Abstract
Treatment of non-small-cell lung cancer (NSCLC) has entered the immunotherapy era, marked by significant survival improvements due to the use of immune checkpoint inhibitors (ICIs). However, owing to factors, such as disease progression, long-term use, and side effects, some patients discontinue immunotherapy, resulting in limited subsequent treatment option and a negative impact on their survival and quality of life. We have collected relevant data which reveal that ICI rechallenge may be an effective clinical strategy. However, many factors affect the efficacy of rechallenge, including patient characteristics, initial treatment drugs, treatment duration, efficacy, toxicity, and side effects. Additionally, the side effects of rechallenge and mechanisms of reversing drug resistance play crucial roles. Identifying suitable candidates, optimizing treatment plans and duration, enhancing treatment efficacy, and minimizing toxicity and adverse effects in rechallenges are pressing clinical needs. Addressing these issues can provide guidance for the clinical use of immunotherapy rechallenges to better serve patients. This review focuses on the clinical considerations and strategies for immune therapy rechallenges in NSCLC.
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Affiliation(s)
- Hao Zhang
- Department of Radiation Oncology, Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yujun Hu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Tingting Wu
- Department of Health Management, Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yeshan Chen
- Institute of Radiation Oncology, Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Bin Yang
- Department of Thoracic Oncology, Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tao Xie
- Department of Radiation Oncology, Hubei Cancer Hospital, TongJi Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Zhang J, Zhao L, Li H, Jia Y, Kong F. Immunosenescence and immunotherapy in older NSCLC patients. J Cancer Res Ther 2024; 20:9-16. [PMID: 38554292 DOI: 10.4103/jcrt.jcrt_1523_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/05/2023] [Indexed: 04/01/2024]
Abstract
Nonsmall cell lung cancer (NSCLC) predominantly affects the elderly since its incidence and mortality rates skyrocket beyond the age of 65. The landscape of NSCLC treatment has been revolutionized by immune checkpoint inhibitors (ICIs), which have emerged after a long and mostly inactive period of conventional treatment protocols. However, there is limited data on the exact effects of these chemicals on older patients, whose care can be complicated by a variety of conditions. This highlights the need to understand the efficacy of emerging cancer medicines in older patients. In this study, we will review the data of ICIs from clinical trials that were relevant to older people with NSCLC and poor performance status. We will also discuss the role of immunosenescence in immunotherapy and biomarkers in predicting the efficacy of ICIs in patients with advanced NSCLC.
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Affiliation(s)
- Jing Zhang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Linlin Zhao
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Huzi Li
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Yingjie Jia
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Fanming Kong
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
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Pettinella F, Lattanzi C, Donini M, Caveggion E, Marini O, Iannoto G, Costa S, Zenaro E, Fortunato TM, Gasperini S, Giani M, Belluomini L, Sposito M, Insolda J, Scaglione IM, Milella M, Adamo A, Poffe O, Bronte V, Dusi S, Cassatella MA, Ugel S, Pilotto S, Scapini P. Plasmacytoid Dendritic Cell, Slan +-Monocyte and Natural Killer Cell Counts Function as Blood Cell-Based Biomarkers for Predicting Responses to Immune Checkpoint Inhibitor Monotherapy in Non-Small Cell Lung Cancer Patients. Cancers (Basel) 2023; 15:5285. [PMID: 37958458 PMCID: PMC10647811 DOI: 10.3390/cancers15215285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/20/2023] [Accepted: 10/30/2023] [Indexed: 11/15/2023] Open
Abstract
The advent of immune checkpoint inhibitors (ICIs), for instance, programmed cell death 1 (PD-1)/PD-1 ligand 1 (PD-L1) blockers, has greatly improved the outcome of patients affected by non-small cell lung cancer (NSCLC). However, most NSCLC patients either do not respond to ICI monotherapy or develop resistance to it after an initial response. Therefore, the identification of biomarkers for predicting the response of patients to ICI monotherapy represents an urgent issue. Great efforts are currently dedicated toward identifying blood-based biomarkers to predict responses to ICI monotherapy. In this study, more commonly utilized blood-based biomarkers, such as the neutrophil-to-lymphocyte ratio (NLR) and the lung immune prognostic index (LIPI) score, as well as the frequency/number and activation status of various types of circulating innate immune cell populations, were evaluated in NSCLC patients at baseline before therapy initiation. The data indicated that, among all the parameters tested, low plasmacytoid dendritic cell (pDC), slan+-monocyte and natural killer cell counts, as well as a high LIPI score and elevated PD-L1 expression levels on type 1 conventional DCs (cDC1s), were independently correlated with a negative response to ICI therapy in NSCLC patients. The results from this study suggest that the evaluation of innate immune cell numbers and phenotypes may provide novel and promising predictive biomarkers for ICI monotherapy in NSCLC patients.
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Affiliation(s)
- Francesca Pettinella
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Chiara Lattanzi
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Marta Donini
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Elena Caveggion
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Olivia Marini
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Giulia Iannoto
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Sara Costa
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Elena Zenaro
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Tiago Moderno Fortunato
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Sara Gasperini
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Matteo Giani
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Lorenzo Belluomini
- Section of Innovation Biomedicine—Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, 37134 Verona, Italy (M.S.); (I.M.S.); (M.M.); (S.P.)
| | - Marco Sposito
- Section of Innovation Biomedicine—Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, 37134 Verona, Italy (M.S.); (I.M.S.); (M.M.); (S.P.)
| | - Jessica Insolda
- Section of Innovation Biomedicine—Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, 37134 Verona, Italy (M.S.); (I.M.S.); (M.M.); (S.P.)
| | - Ilaria Mariangela Scaglione
- Section of Innovation Biomedicine—Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, 37134 Verona, Italy (M.S.); (I.M.S.); (M.M.); (S.P.)
| | - Michele Milella
- Section of Innovation Biomedicine—Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, 37134 Verona, Italy (M.S.); (I.M.S.); (M.M.); (S.P.)
| | - Annalisa Adamo
- Immunology Section, Department of Medicine, University and Hospital Trust (AOUI) of Verona, 37134 Verona, Italy; (A.A.)
| | - Ornella Poffe
- Immunology Section, Department of Medicine, University and Hospital Trust (AOUI) of Verona, 37134 Verona, Italy; (A.A.)
| | - Vincenzo Bronte
- Veneto Institute of Oncology—Istituto di Ricovero e Cura a Carattere Scientifico (IOV-IRCCS), 35128 Padova, Italy
| | - Stefano Dusi
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Marco A. Cassatella
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
| | - Stefano Ugel
- Immunology Section, Department of Medicine, University and Hospital Trust (AOUI) of Verona, 37134 Verona, Italy; (A.A.)
| | - Sara Pilotto
- Section of Innovation Biomedicine—Oncology Area, Department of Engineering for Innovation Medicine (DIMI), University of Verona and University and Hospital Trust (AOUI) of Verona, 37134 Verona, Italy (M.S.); (I.M.S.); (M.M.); (S.P.)
| | - Patrizia Scapini
- General Pathology Section, Department of Medicine, University of Verona, 37134 Verona, Italy (M.D.); (S.C.); (E.Z.); (T.M.F.); (S.G.); (M.G.)
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Tian BW, Han CL, Wang HC, Yan LJ, Ding ZN, Liu H, Mao XC, Tian JC, Xue JS, Yang LS, Tan SY, Dong ZR, Yan YC, Wang DX, Li T. Effect of liver metastasis on the efficacy of immune checkpoint inhibitors in cancer patients: a systemic review and meta-analysis. Clin Exp Metastasis 2023; 40:255-287. [PMID: 37308706 DOI: 10.1007/s10585-023-10217-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/05/2023] [Indexed: 06/27/2024]
Abstract
Liver metastasis is a frequent phenomenon in advanced tumor disease. Immune checkpoint inhibitors (ICIs) are a new class of therapeutics that can improve the prognosis of cancer patients. The purpose of this study is to elucidate the relationship between liver metastasis and survival outcomes of patients receiving ICIs treatment. We searched four main databases, including PubMed, EMBASE, Cochrane Library, and Web of Science. Overall survival (OS) and progression-free survival (PFS) were the survival outcomes of our concern. Hazard ratio (HR) with 95% confidence interval (CI) were used to evaluate the relationship between liver metastasis and OS/ PFS. Finally, 163 articles were included in the study. The pooled results showed that patients with liver metastasis receiving ICIs treatment had worse OS (HR=1.82, 95%CI:1.59-2.08) and PFS (HR=1.68, 95%CI:1.49-1.89) than patients without liver metastasis. The effect of liver metastasis on ICIs efficacy differed in different tumor types, and patients with urinary system tumors (renal cell carcinoma OS: HR=2.47, 95%CI:1.76-3.45; urothelial carcinoma OS: HR=2.37, 95%CI:2.03-2.76) had the worst prognosis, followed by patients with melanoma (OS: HR=2.04, 95%CI:1.68-2.49) or non-small cell lung cancer (OS: HR=1.81, 95%CI:1.72-1.91). ICIs efficacy in digestive system tumors (colorectal cancer OS: HR=1.35, 95%CI:1.07-1.71; gastric cancer/ esophagogastric cancer OS: HR=1.17, 95%CI:0.90-1.52) was less affected, and peritoneal metastasis and the number of metastases have a greater clinical significance than liver metastasis based on univariate data. For cancer patients receiving ICIs treatment, the occurrence of liver metastasis is associated with poor prognosis. Different cancer types and metastatic sites may hold a different prognostic effect on the efficacy of ICIs treatment in cancer patients.
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Affiliation(s)
- Bao-Wen Tian
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Cheng-Long Han
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Han-Chao Wang
- Institute for Financial Studies, Shandong Univeristy, Jinan, 250100, People's Republic of China
| | - Lun-Jie Yan
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Zi-Niu Ding
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Hui Liu
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Xin-Cheng Mao
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Jin-Cheng Tian
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Jun-Shuai Xue
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Long-Shan Yang
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Si-Yu Tan
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Zhao-Ru Dong
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Yu-Chuan Yan
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Dong-Xu Wang
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China
| | - Tao Li
- Department of general surgery, Qilu Hospital, Shandong University, 107 West Wen Hua Road, Jinan, 250012, People's Republic of China.
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9
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Lv X, Xu B, Zou Q, Han S, Feng Y. Clinical application of common inflammatory and nutritional indicators before treatment in prognosis evaluation of non-small cell lung cancer: a retrospective real-world study. Front Med (Lausanne) 2023; 10:1183886. [PMID: 37521341 PMCID: PMC10373868 DOI: 10.3389/fmed.2023.1183886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/05/2023] [Indexed: 08/01/2023] Open
Abstract
Objective To evaluate the prognostic value of common clinical inflammatory and nutritional indicators before treatment in patients with non-small cell lung cancer in the real world. Method A total of 5,239 patients with pathologically confirmed non-small cell lung cancer from 2011 to 2018 in the Affiliated Cancer Hospital of Xinjiang Medical University were selected. Their inflammatory and nutritional indicators (RDW, PDW, NLR, LMR, NMR, PLR, SII, PNI, TP, ALB, CYRFA21-1, CEA, CA125, NSE, α1-globulin, α2-globulin, β1-globulin, β2-globulin, and γ-globulin) before treatment were collected. From the total number, 1,049 patients were randomly sampled (18 to 20% of patients each year) and used as the validation set; the remaining 4,190 patients were used as the training set. According to the eighth edition of the guidelines for the diagnosis, treatment, and stage risk stratification of lung cancer, the patients were divided into four groups: stage I/II operable, stage III operable, stage III inoperable, and stage IV. We used the X-tile software to intercept and classify the cut-off values of each index in the validation set. Univariate and multivariate Cox proportional-hazard regression were used to screen the independent risk factors affecting the prognosis of non-small cell lung cancer and establish a prognostic model for 1, 3, and 5 years. The validation set was used to verify its performance. Finally, the Kaplan-Meier curve was used to assess the survival rate, and the corresponding nomogram was established for clinical use. Results After screening, no effective indicators were found in the stage I/II operable group. RDW and CA125 were effective indicators for the stage III operable group (cut-off values were 14.1 and 9.21, respectively, compared with the low-value group; univariate HR was 2.145 and 1.612, and multivariate HR was 1.491 and 1.691, respectively). CYRFA21-1 and CA125 were effective prognostic indicators for the stage III inoperable group (cut-off values were 10.62 and 44.10, respectively, compared with the low-value group; univariate HR was 1.744 and 1.342, and multivariate HR was 1.284 and 1.304, respectively). CYRFA21-1, CA125, NLR, and α1-globulin were effective indicators of prognosis in stage IV (cut-off values were 3.07, 69.60, 4.08, and 5.30, respectively, compared with the low-value group; univariate HR was 1.713, 1.339, 1.388, and 1.539; and multivariate HR was 1.407, 1.119, 1.191, and 1.110, respectively). The model was constructed with the best validation power in stage IV patients (C-index = 0.733, 0.749, and 0.75 at 1, 3, and 5 years, respectively). Conclusion For patients with stage III and IV non-small cell lung cancer, some inflammatory markers, serum tumor markers, and nutritional indicators are independent prognostic factors. Combined with the general data of patients, the constructed prognostic evaluation model has the best efficacy in patients with stage IV and can be widely used in clinical practice.
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Affiliation(s)
- Xiang Lv
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Department of Laboratory Medicine, Jianyang People's Hospital, Jianyang, China
| | - Bin Xu
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Medical Laboratory Center, Affiliated to Traditional Chinese Medicine Hospital of Xinjiang Medical University, Ürümqi, China
| | - Qingxia Zou
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
| | - Songtao Han
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Medical Laboratory Center, Affiliated to Traditional Chinese Medicine Hospital of Xinjiang Medical University, Ürümqi, China
| | - Yangchun Feng
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
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Nakamura K, Ishiyama Y, Nemoto Y, Ishihara H, Tachibana H, Fukuda H, Shinmura H, Hashimoto Y, Yoshida K, Iizuka J, Ishida H, Kondo T, Takagi T. Association between lung immune prognostic index and survival of patients with metastatic urothelial carcinoma treated with pembrolizumab. Int J Clin Oncol 2023:10.1007/s10147-023-02341-x. [PMID: 37103730 DOI: 10.1007/s10147-023-02341-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 04/12/2023] [Indexed: 04/28/2023]
Abstract
INTRODUCTION AND OBJECTIVE Lung immune prognostic index score (LIPI), calculated using the derived neutrophil-lymphocyte ratio and lactate dehydrogenase level, is reported for use in numerous malignancies, while its role on metastatic urothelial carcinoma (mUC) treated with pembrolizumab remains limited. We aimed to investigate association between LIPI and outcomes in this setting. METHODS We retrospectively evaluated 90 patients with mUC treated with pembrolizumab at four institutions. The associations between three LIPI groups and progression-free survival (PFS), overall survival (OS), objective response rates (ORRs) or disease control rates (DCRs) were assessed. RESULTS Based on the LIPI, good, intermediate, and poor groups were observed in 41 (45.6%), 33 (36.7%), and 16 (17.8%) patients, respectively. The PFS and OS were significantly correlated with the LIPI (median PFS: 21.2 vs. 7.0 vs. 4.0 months, p = 0.001; OS: 44.3 vs. 15.0 vs. 4.2 months, p < 0.001 in the LIPI good vs. intermediate vs. poor groups). Multivariable analysis further revealed that LIPI good (vs. intermediate or poor, hazard ratio: 0.44, p = 0.004) and performance status = 0 (p = 0.015) were independent predictors of a longer PFS. In addition, LIPI good (hazard ratio: 0.29, p < 0.001) were shown to be associated with a longer OS together with performance status = 0 (p < 0.001). The ORRs tended to be different among patients with Good LIPI compared with Poor, and DCRs were significantly different among the three groups. CONCLUSIONS LIPI, a simple and convenient score, could be a significant prognostic biomarker of OS, PFS, and DCRs for mUC treated with pembrolizumab.
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Affiliation(s)
- Kazutaka Nakamura
- Department of Urology, Tokiwakai Jyoban Hospital, 57 Kaminodai, Jyoban Kamiyunagayamachi, Iwaki, Fukushima, 972-8322, Japan
- Department of Urology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kouhoku, Adachi-Ku, Tokyo, 123-8558, Japan
- Department of Urology, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan
| | - Yudai Ishiyama
- Department of Urology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kouhoku, Adachi-Ku, Tokyo, 123-8558, Japan.
- Department of Urology, Saiseikai Kawaguchi General Hospital, 5-11-5 Nishikawaguchi, Kawaguchi, Saitama, 332-8558, Japan.
- Department of Urology, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan.
- Department of Urology and Transplant Surgery, Toda Chuo General Hospital, 1-19-3 Honcho, Toda, Saitama, 335-0023, Japan.
| | - Yuki Nemoto
- Department of Urology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kouhoku, Adachi-Ku, Tokyo, 123-8558, Japan
| | - Hiroki Ishihara
- Department of Urology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kouhoku, Adachi-Ku, Tokyo, 123-8558, Japan
- Department of Urology, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan
| | - Hidekazu Tachibana
- Department of Urology, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan
| | - Hironori Fukuda
- Department of Urology, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan
| | - Hiroaki Shinmura
- Department of Urology, Tokiwakai Jyoban Hospital, 57 Kaminodai, Jyoban Kamiyunagayamachi, Iwaki, Fukushima, 972-8322, Japan
| | - Yasunobu Hashimoto
- Department of Urology, Saiseikai Kawaguchi General Hospital, 5-11-5 Nishikawaguchi, Kawaguchi, Saitama, 332-8558, Japan
| | - Kazuhiko Yoshida
- Department of Urology, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan
| | - Junpei Iizuka
- Department of Urology, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan
| | - Hideki Ishida
- Department of Urology, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan
| | - Tsunenori Kondo
- Department of Urology, Tokyo Women's Medical University Adachi Medical Center, 4-33-1 Kouhoku, Adachi-Ku, Tokyo, 123-8558, Japan
| | - Toshio Takagi
- Department of Urology, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku-Ku, Tokyo, 162-8666, Japan
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Prognostic Value of Lymphocyte-to-Monocyte Ratio (LMR) in Cancer Patients Undergoing Immune Checkpoint Inhibitors. DISEASE MARKERS 2022; 2022:3610038. [PMID: 36590752 PMCID: PMC9803580 DOI: 10.1155/2022/3610038] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 11/16/2022] [Accepted: 11/24/2022] [Indexed: 12/24/2022]
Abstract
Background There is accumulating evidence that the lymphocyte-to-monocyte ratio (LMR) is related to the outcomes of cancer patients treated with immune checkpoint inhibitors (ICIs). However, the results remain controversial. Method Electronic databases were searched to retrieve the studies that explore the relationship between LMR and the efficacy of ICIs. The primary endpoints were overall survival (OS) and progression-free survival (PFS), evaluated by the hazard ratios (HRs) with 95% confidence intervals (CI), and the secondary endpoints included disease control rate (DCR) and immune-related adverse events (irAEs), assessed by the odd ratios (ORs) with 95% CI. Results A total of 27 studies involving 4,322 patients were eligible for analysis. The results indicated that increased LMR at baseline was associated with a superior OS (HR: 0.46, 95% CI: 0.39-0.56, p < 0.001), PFS (HR: 0.60, 95% CI: 0.49-0.74, p < 0.001), and DCR (OR: 3.16, 95% CI: 1.70-5.87, p < 0.001). Posttreatment LMR was linked to a better PFS (HR: 0.46, 95% CI: 0.29-0.71, p = 0.001), but failed to show this correlation in the analysis of OS and DCR. No correlation existed between LMR and irAEs regardless of the testing time (baseline or posttreatment). Subgroup analyses focusing on baseline LMR revealed that higher baseline LMR possessed a better OS in renal cell cancer (RCC) arm, nonsmall cell lung cancer (NSCLC) arm, multiple cancer arm, monotherapy arm, LMR <2 arm, LMR ≥2 arm, western countries arm, eastern countries arm, and anti-PD-1 arm. Higher baseline LMR correlated with better PFS in RCC arm, NSCLC arm, gastric cancer (GC) arm, multiple cancer arm, LMR <2 arm, LMR ≥2 arm, western countries arm, and eastern countries arm. Conclusions Higher LMR at baseline was positively correlated with a superior OS, PFS, and DCR for ICIs, but not with irAEs.
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