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Zhang YY, Liu FH, Wang YL, Liu JX, Wu L, Qin Y, Zheng WR, Xing WY, Xu J, Chen X, Xu HL, Bao Q, Wang JY, Wang R, Chen XY, Wei YF, Zou BJ, Liu JC, Yin JL, Jia MQ, Gao S, Luan M, Wang HH, Gong TT, Wu QJ. Associations between peripheral whole blood cell counts derived indexes and cancer prognosis: An umbrella review of meta-analyses of cohort studies. Crit Rev Oncol Hematol 2024; 204:104525. [PMID: 39370059 DOI: 10.1016/j.critrevonc.2024.104525] [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: 07/22/2024] [Revised: 09/15/2024] [Accepted: 09/24/2024] [Indexed: 10/08/2024] Open
Abstract
Meta-analyses have reported conflicting data on the whole blood cell count (WBCC) derived indexes (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], and lymphocyte-to-monocyte ratio [LMR]) and cancer prognosis. However, the strength and quality of this evidence has not been quantified in aggregate. To grade the evidence from published meta-analyses of cohort studies that investigated the associations between NLR, PLR, and LMR and cancer prognosis. A total of 694 associations from 224 articles were included. And 219 (97.8%) articles rated as moderate-to-high quality according to AMSTAR. There were four associations supported by convincing evidence. Meanwhile, 165 and 164 associations were supported by highly suggestive and suggestive evidence, respectively. In this umbrella review, we summarized the existing evidence on the WBCC-derived indexes and cancer prognosis. Due to the direction of effect sizes is not completely consistent between studies, further research is needed to assess causality and provide firm evidence.
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Affiliation(s)
- Ying-Ying Zhang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ya-Li Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Information Center, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Jia-Xin Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Ying Qin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wen-Rui Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wei-Yi Xing
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jin Xu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xing Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi Bao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Yi Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ran Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xi-Yang Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Cheng Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ming-Qian Jia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Meng Luan
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Hui-Han Wang
- Department of Hematology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China.
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2
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Portugal I, Clavijo-Salomon MA. Complete response to fifth-line anti-PD-1 rechallenge in fumarate hydratase-mutated papillary renal cell carcinoma. NPJ Precis Oncol 2024; 8:251. [PMID: 39496729 PMCID: PMC11535469 DOI: 10.1038/s41698-024-00750-3] [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: 06/25/2024] [Accepted: 10/28/2024] [Indexed: 11/06/2024] Open
Abstract
Fumarate hydratase (FH) mutated papillary renal cell carcinoma is an aggressive variant of kidney cancer that poorly responds to conventional targeted therapies and immunotherapy. Here, we present the 10-year follow-up of a heavily pre-treated patient with several lines of therapy, achieving a remarkable complete response to anti-PD-1 rechallenge. In addition, we highlight a common immune-related adverse event of anti-PD-1, eosinophilia, as a possible biomarker of response and using TCGA data analysis, provide proof-of-concept for tumor expression of the eosinophil-related gene SIGLEC8, as a promising powerful predictor of prognosis for papillary renal cell carcinoma patients.
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Affiliation(s)
- Isabella Portugal
- Ciências Médicas, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
- Centro de Investigação Translacional em Oncologia (CTO), Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil
- Department of Medicine, Cambridge Health Alliance, Cambridge, MA, USA
| | - Maria A Clavijo-Salomon
- Centro de Investigação Translacional em Oncologia (CTO), Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, Brazil.
- Departamento de Imunologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil.
- Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD, USA.
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Lodde GC, Zhao F, Herbst R, Terheyden P, Utikal J, Pföhler C, Ulrich J, Kreuter A, Mohr P, Gutzmer R, Meier F, Dippel E, Weichenthal M, Jansen P, Kowall B, Galetzka W, Hörst F, Kleesiek J, Hellwig B, Rahnenführer J, Rajcsanyi L, Peters T, Hinney A, Placke JM, Sucker A, Paschen A, Becker JC, Livingstone E, Zimmer L, Tasdogan A, Roesch A, Hadaschik E, Schadendorf D, Griewank K, Ugurel S. Early versus late response to PD-1-based immunotherapy in metastatic melanoma. Eur J Cancer 2024; 210:114295. [PMID: 39213786 DOI: 10.1016/j.ejca.2024.114295] [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: 06/05/2024] [Revised: 08/09/2024] [Accepted: 08/13/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Immune checkpoint inhibition (ICI) currently is the most effective treatment to induce durable responses in metastatic melanoma. The aims of this study are the characterization of patients with early, late and non-response to ICI and analysis of survival outcomes in a real-world patient cohort. METHODS Patients who received PD-1-based immunotherapy for non-resectable stage-IV melanoma in any therapy line were selected from the prospective multicenter real-world DeCOG study ADOREG-TRIM (NCT05750511). Patients showing complete (CR) or partial (PR) response already during the first 3 months of treatment (Early Responders, EarlyR) were compared to patients showing CR/PR at a later time (Late Responders, LateR), a stable disease (SD) and to patients showing progressive disease (Non-Responders, NonR). RESULTS Of 522 patients, 8.2 % were EarlyR (n = 43), 19.0 % were LateR (n = 99), 37.0 % had a SD (n = 193) and 35.8 % were NonR (n = 187). EarlyR, LateR and SD patients had comparable baseline characteristics. Multivariate logbinomial regression analyses adjusted for age and sex revealed positive tumor PD-L1 (RR=1.99, 95 %-CI=1.14-3.46, p = 0.015), and normal serum CRP (RR=1.59, 95 %-CI=0.93-2.70, p = 0.036) as independently associated with the achievement of an early response compared to NonR. The median progression-free and overall survival was 46.0 months (95 % CI 19.1; NR) and 47.8 months (95 %-CI 36.9; NR) for EarlyR, NR (95 %-CI NR; NR) for LateR, 8.1 months (7.0; 10.4) and 35.4 months (29.2; NR) for SD, and 2.0 months (95 %-CI 1.9; 2.1) and 6.1 months (95 %-CI 4.6; 8.8) for NonR patients. CONCLUSION Less than 10 % of metastatic melanoma patients achieved an early response during the first 3 months of PD-1-based immunotherapy. Early responders were not superior to late responders in terms of response durability and survival.
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Affiliation(s)
- Georg C Lodde
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany.
| | - Fang Zhao
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany.
| | - Rudolf Herbst
- Department of Dermatology, Helios Klinikum Erfurt, Erfurt, Germany.
| | | | - Jochen Utikal
- Department of Dermatology, Venerology, and Allergology, University Medical Center, Ruprecht-Karls University of Heidelberg, 68167 Mannheim, Germany.
| | - Claudia Pföhler
- Department of Dermatology, Saarland University Medical School, Homburg, Saar, Germany.
| | - Jens Ulrich
- Department of Dermatology and Venereology, Harzklinikum Dorothea Christiane Erxleben, Quedlinburg, Germany.
| | - Alexander Kreuter
- Department of Dermatology, Venereology and Allergology, HELIOS St. Elisabeth Klinik Oberhausen, University Witten/Herdecke, Oberhausen, Germany.
| | - Peter Mohr
- Dermatological Center Buxtehude, Elbe Kliniken Buxtehude, Buxtehude, Germany.
| | - Ralf Gutzmer
- Department of Dermatology, Johannes Wesling Medical Center Minden, Ruhr University Bochum, Minden, Germany.
| | - Friedegund Meier
- Department of Dermatology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Skin Cancer Center at the University Cancer Centre Dresden and National Center for Tumor Diseases, Dresden, Germany.
| | - Edgar Dippel
- Department of Dermatology Ludwigshafen, Klinikum der Stadt Ludwigshafen am Rhein gGmbH, Ludwigshafen, Germany.
| | - Michael Weichenthal
- Department of Dermatology, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Kiel, Germany.
| | - Philipp Jansen
- Department of Dermatology, University Hospital Bonn, Bonn, Germany.
| | - Bernd Kowall
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany.
| | - Wolfgang Galetzka
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, Essen, Germany.
| | - Fabian Hörst
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.
| | - Jens Kleesiek
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.
| | - Birte Hellwig
- Department of Statistics, TU Dortmund University, Dortmund, Germany.
| | - Jörg Rahnenführer
- Department of Statistics, TU Dortmund University, Dortmund, Germany.
| | - Luisa Rajcsanyi
- Section for Molecular Genetics of Mental Disorders, University Hospital Essen, Essen Essen, Germany Center for Translational Neuro, and Behavioral Sciences, University Hospital Essen, Essen, Germany.
| | - Triinu Peters
- Section for Molecular Genetics of Mental Disorders, University Hospital Essen, Essen Essen, Germany Center for Translational Neuro, and Behavioral Sciences, University Hospital Essen, Essen, Germany.
| | - Anke Hinney
- Section for Molecular Genetics of Mental Disorders, University Hospital Essen, Essen Essen, Germany Center for Translational Neuro, and Behavioral Sciences, University Hospital Essen, Essen, Germany.
| | - Jan-Malte Placke
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany; German Consortium for Translational Cancer Research (DKTK), Essen, Düsseldorf, Germany.
| | - Antje Sucker
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany.
| | - Annette Paschen
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany; German Consortium for Translational Cancer Research (DKTK), Essen, Düsseldorf, Germany.
| | - Jürgen C Becker
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany; German Consortium for Translational Cancer Research (DKTK), Essen, Düsseldorf, Germany; Translational Skin Cancer Research, German Consortium for Translational Cancer Research (DKTK), Essen, Germany.
| | - Elisabeth Livingstone
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany.
| | - Lisa Zimmer
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany; German Consortium for Translational Cancer Research (DKTK), Essen, Düsseldorf, Germany.
| | - Alpaslan Tasdogan
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany; German Consortium for Translational Cancer Research (DKTK), Essen, Düsseldorf, Germany.
| | - Alexander Roesch
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany; German Consortium for Translational Cancer Research (DKTK), Essen, Düsseldorf, Germany.
| | - Eva Hadaschik
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany.
| | - Dirk Schadendorf
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany; German Consortium for Translational Cancer Research (DKTK), Essen, Düsseldorf, Germany.
| | - Klaus Griewank
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany.
| | - Selma Ugurel
- Department of Dermatology, Venereology and Allergology, University Hospital Essen, Essen, Germany; German Consortium for Translational Cancer Research (DKTK), Essen, Düsseldorf, Germany.
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Wesener L, Hagelstein V, Terheyden P, Langan EA. A Retrospective Analysis of the Prognostic Factors and Adverse Events in the Treatment of Mucosal Melanoma in a Single Centre. J Clin Med 2024; 13:4741. [PMID: 39200883 PMCID: PMC11355675 DOI: 10.3390/jcm13164741] [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: 06/19/2024] [Revised: 07/22/2024] [Accepted: 07/30/2024] [Indexed: 09/02/2024] Open
Abstract
Background: Despite the dramatic advances in the management of metastatic cutaneous melanoma, there remains no consensus-based, evidence-based strategy for the management of mucosal melanoma. The rare nature of the disease, its late clinical presentation, and distinct tumour biology all complicate efforts to optimise patient outcomes. Methods: To this end, we carried out a monocentric, retrospective analysis of all patients diagnosed with mucosal melanoma and treated between 2013 and 2021. Both tumour- and patient-specific characteristics were recorded, in addition to immune-related adverse events, in order to provide real-world data on disease progression, treatment efficacy, and the identification of prognostic markers. Results: A total of 20 patients were identified (14 females and 6 males), with a mean age at diagnosis of 65.9 years. The median follow-up was 3.9 years (95% CI 1.4-6.4 years) from the initiation of systemic therapy. The median OS in the entire cohort was 1.9 years (95% CI 0.5-3.3 years). Performance status, sex, body mass index, and the presence of brain metastases were not associated with poorer outcomes. However, serum lactate dehydrogenase levels (LDH) (p = 0.04) and an NRAS mutation were markers of a poor prognosis (p = 0.004). Conclusuion: There is a pressing need for real-world, prospective, and clinical trial data to inform the optimal management of mucosal melanoma, and data supporting the use of adjuvant and neo-adjuvant immunotherapy are currently lacking. However, an elevated LDH is a reliable, independent negative prognostic marker. Inter-disciplinary management remains essential in order to develop optimal treatment strategies.
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Affiliation(s)
- Lambert Wesener
- Clinic of Dermatology, Allergology and Venerology, University of Lübeck, 23562 Lübeck, Germany; (L.W.); (V.H.); (P.T.)
| | - Victoria Hagelstein
- Clinic of Dermatology, Allergology and Venerology, University of Lübeck, 23562 Lübeck, Germany; (L.W.); (V.H.); (P.T.)
| | - Patrick Terheyden
- Clinic of Dermatology, Allergology and Venerology, University of Lübeck, 23562 Lübeck, Germany; (L.W.); (V.H.); (P.T.)
| | - Ewan A. Langan
- Clinic of Dermatology, Allergology and Venerology, University of Lübeck, 23562 Lübeck, Germany; (L.W.); (V.H.); (P.T.)
- Department of Dermatological Sciences, University of Manchester, Oxford Rd., Manchester M13 9PL, UK
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5
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Seretis K, Sfaelos K, Boptsi E, Gaitanis G, Bassukas ID. The Neutrophil-to-Lymphocyte Ratio as a Biomarker in Cutaneous Oncology: A Systematic Review of Evidence beyond Malignant Melanoma. Cancers (Basel) 2024; 16:1044. [PMID: 38473401 PMCID: PMC10931327 DOI: 10.3390/cancers16051044] [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: 02/14/2024] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/14/2024] Open
Abstract
With the ongoing progress of basic research along with the introduction of new pharmaceutical options spanning almost all therapeutic areas, the need for biomarkers that will be implemented into the personalized medical approach is higher than ever. Their use can be incorporated into clinical practice and can be applied to the classification of disorders and the evaluation of disease severity but also to the monitoring of the progress of therapeutic/pharmaceutical interventions. This systematic review collects the findings of hematologic biomarkers in various cutaneous malignancies, excluding malignant melanoma, to support their potential use in the prognosis but also in the assessment of therapeutic strategies for the specific category of skin disorders.
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Affiliation(s)
- Konstantinos Seretis
- Department of Plastic Surgery, Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10 Ioannina, Greece; (K.S.); (E.B.)
| | - Konstantinos Sfaelos
- Department of Skin and Venereal Diseases, Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10 Ioannina, Greece; (K.S.); (G.G.)
| | - Elena Boptsi
- Department of Plastic Surgery, Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10 Ioannina, Greece; (K.S.); (E.B.)
| | - Georgios Gaitanis
- Department of Skin and Venereal Diseases, Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10 Ioannina, Greece; (K.S.); (G.G.)
| | - Ioannis D. Bassukas
- Department of Skin and Venereal Diseases, Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10 Ioannina, Greece; (K.S.); (G.G.)
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6
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Shah V, Panchal V, Shah A, Vyas B, Agrawal S, Bharadwaj S. Immune checkpoint inhibitors in metastatic melanoma therapy (Review). MEDICINE INTERNATIONAL 2024; 4:13. [PMID: 38410760 PMCID: PMC10895472 DOI: 10.3892/mi.2024.137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/26/2024] [Indexed: 02/28/2024]
Abstract
An increase in the incidence of melanoma has been observed in recent decades, which poses a significant challenge due to its poor prognosis in the advanced and metastatic stages. Previously, chemotherapy and high doses of interleukin-2 were available treatments for melanoma; however, they offered limited survival benefits and were associated with severe toxicities. The treatment of metastatic melanoma has been transformed by new developments in immunotherapy. Immune checkpoint inhibitors (ICIs), monoclonal antibodies that target cytotoxic T-lymphocyte-associated antigen-4 (CTLA-4), programmed cell death protein 1 (PD-1) and its ligand, PDL-1, have emerged as promising therapeutic options. Commonly used ICIs, such as ipilimumab, nivolumab and pembrolizumab, have been found to be associated with an improved median overall survival, recurrence-free survival and response rates compared to traditional chemotherapies. Combination therapies involving different types of ICIs, such as anti-PD1 with anti-CTLA-4, have further enhanced the overall survival and response rates by targeting various phases of T-cell activation. Additionally, the development of novel biomarkers has facilitated the assessment of responses to ICI therapy, with tissue and serum-based prognostic and predictive biomarkers now available. The increased response observed with ICIs also provides potential for immune-related adverse effects on various organ systems. Further research is required to evaluate the efficacy and safety of various combinations of ICIs, while ongoing clinical trials explore the potential of newer ICIs. Concerns regarding the development of resistance to ICIs also warrant attention. The present review summarizes and discusses the advent of ICIs with a marked significant breakthrough in the treatment of metastatic melanoma, providing improved outcomes compared to traditional therapies.
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Affiliation(s)
- Vedant Shah
- Department of Medicine, Smt. N.H.L. Municipal Medical College and Sardar Vallabhbhai Patel Institute of Medical Sciences and Research (SVPISMR), Ahmedabad, Gujarat 380058, India
| | - Viraj Panchal
- Department of Medicine, Smt. N.H.L. Municipal Medical College and Sardar Vallabhbhai Patel Institute of Medical Sciences and Research (SVPISMR), Ahmedabad, Gujarat 380058, India
| | - Abhi Shah
- Department of Medicine, Smt. N.H.L. Municipal Medical College and Sardar Vallabhbhai Patel Institute of Medical Sciences and Research (SVPISMR), Ahmedabad, Gujarat 380058, India
| | - Bhavya Vyas
- Department of Medicine, Smt. N.H.L. Municipal Medical College and Sardar Vallabhbhai Patel Institute of Medical Sciences and Research (SVPISMR), Ahmedabad, Gujarat 380058, India
| | - Siddharth Agrawal
- Department of Medicine, Smt. N.H.L. Municipal Medical College and Sardar Vallabhbhai Patel Institute of Medical Sciences and Research (SVPISMR), Ahmedabad, Gujarat 380058, India
| | - Sanket Bharadwaj
- Department of Medicine, Smt. N.H.L. Municipal Medical College and Sardar Vallabhbhai Patel Institute of Medical Sciences and Research (SVPISMR), Ahmedabad, Gujarat 380058, India
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7
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Stepanenko AA, Sosnovtseva AO, Valikhov MP, Chernysheva AA, Abramova OV, Pavlov KA, Chekhonin VP. Systemic and local immunosuppression in glioblastoma and its prognostic significance. Front Immunol 2024; 15:1326753. [PMID: 38481999 PMCID: PMC10932993 DOI: 10.3389/fimmu.2024.1326753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 02/06/2024] [Indexed: 04/07/2024] Open
Abstract
The effectiveness of tumor therapy, especially immunotherapy and oncolytic virotherapy, critically depends on the activity of the host immune cells. However, various local and systemic mechanisms of immunosuppression operate in cancer patients. Tumor-associated immunosuppression involves deregulation of many components of immunity, including a decrease in the number of T lymphocytes (lymphopenia), an increase in the levels or ratios of circulating and tumor-infiltrating immunosuppressive subsets [e.g., macrophages, microglia, myeloid-derived suppressor cells (MDSCs), and regulatory T cells (Tregs)], as well as defective functions of subsets of antigen-presenting, helper and effector immune cell due to altered expression of various soluble and membrane proteins (receptors, costimulatory molecules, and cytokines). In this review, we specifically focus on data from patients with glioblastoma/glioma before standard chemoradiotherapy. We discuss glioblastoma-related immunosuppression at baseline and the prognostic significance of different subsets of circulating and tumor-infiltrating immune cells (lymphocytes, CD4+ and CD8+ T cells, Tregs, natural killer (NK) cells, neutrophils, macrophages, MDSCs, and dendritic cells), including neutrophil-to-lymphocyte ratio (NLR), focus on the immune landscape and prognostic significance of isocitrate dehydrogenase (IDH)-mutant gliomas, proneural, classical and mesenchymal molecular subtypes, and highlight the features of immune surveillance in the brain. All attempts to identify a reliable prognostic immune marker in glioblastoma tissue have led to contradictory results, which can be explained, among other things, by the unprecedented level of spatial heterogeneity of the immune infiltrate and the significant phenotypic diversity and (dys)functional states of immune subpopulations. High NLR is one of the most repeatedly confirmed independent prognostic factors for shorter overall survival in patients with glioblastoma and carcinoma, and its combination with other markers of the immune response or systemic inflammation significantly improves the accuracy of prediction; however, more prospective studies are needed to confirm the prognostic/predictive power of NLR. We call for the inclusion of dynamic assessment of NLR and other blood inflammatory markers (e.g., absolute/total lymphocyte count, platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, and systemic immune response index) in all neuro-oncology studies for rigorous evaluation and comparison of their individual and combinatorial prognostic/predictive significance and relative superiority.
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Affiliation(s)
- Aleksei A. Stepanenko
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
- Department of Medical Nanobiotechnology, Institute of Translational Medicine, N. I. Pirogov Russian National Research Medical University, The Ministry of Health of the Russian Federation, Moscow, Russia
| | - Anastasiia O. Sosnovtseva
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Marat P. Valikhov
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
- Department of Medical Nanobiotechnology, Institute of Translational Medicine, N. I. Pirogov Russian National Research Medical University, The Ministry of Health of the Russian Federation, Moscow, Russia
| | - Anastasia A. Chernysheva
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Olga V. Abramova
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Konstantin A. Pavlov
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Vladimir P. Chekhonin
- Department of Fundamental and Applied Neurobiology, V. P. Serbsky National Medical Research Center of Psychiatry and Narcology, the Ministry of Health of the Russian Federation, Moscow, Russia
- Department of Medical Nanobiotechnology, Institute of Translational Medicine, N. I. Pirogov Russian National Research Medical University, The Ministry of Health of the Russian Federation, Moscow, Russia
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Gaißler A, Bochem J, Spreuer J, Ottmann S, Martens A, Amaral T, Wagner NB, Claassen M, Meier F, Terheyden P, Garbe C, Eigentler T, Weide B, Pawelec G, Wistuba-Hamprecht K. Early decrease of blood myeloid-derived suppressor cells during checkpoint inhibition is a favorable biomarker in metastatic melanoma. J Immunother Cancer 2023; 11:e006802. [PMID: 37286306 PMCID: PMC10254874 DOI: 10.1136/jitc-2023-006802] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/28/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND The need for reliable clinical biomarkers to predict which patients with melanoma will benefit from immune checkpoint blockade (ICB) remains unmet. Several different parameters have been considered in the past, including routine differential blood counts, T cell subset distribution patterns and quantification of peripheral myeloid-derived suppressor cells (MDSC), but none has yet achieved sufficient accuracy for clinical utility. METHODS Here, we investigated potential cellular biomarkers from clinical routine blood counts as well as several myeloid and T cell subsets, using flow cytometry, in two independent cohorts of a total of 141 patients with stage IV M1c melanoma before and during ICB. RESULTS Elevated baseline frequencies of monocytic MDSCs (M-MDSC) in the blood were confirmed to predict shorter overall survival (OS) (HR 2.086, p=0.030) and progression-free survival (HR 2.425, p=0.001) in the whole patient cohort. However, we identified a subgroup of patients with highly elevated baseline M-MDSC frequencies that fell below a defined cut-off during therapy and found that these patients had a longer OS that was similar to that of patients with low baseline M-MDSC frequencies. Importantly, patients with high M-MDSC frequencies exhibited a skewed baseline distribution of certain other immune cells but these did not influence patient survival, illustrating the paramount utility of MDSC assessment. CONCLUSION We confirmed that in general, highly elevated frequencies of peripheral M-MDSC are associated with poorer outcomes of ICB in metastatic melanoma. However, one reason for an imperfect correlation between high baseline MDSCs and outcome for individual patients may be the subgroup of patients identified here, with rapidly decreasing M-MDSCs on therapy, in whom the negative effect of high M-MDSC frequencies was lost. These findings might contribute to developing more reliable predictors of late-stage melanoma response to ICB at the individual patient level. A multifactorial model seeking such markers yielded only MDSC behavior and serum lactate dehydrogenase as predictors of treatment outcome.
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Affiliation(s)
- Andrea Gaißler
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
- Internal Medicine I, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Jonas Bochem
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
- Internal Medicine I, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Janine Spreuer
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
- Internal Medicine I, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Shannon Ottmann
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Alexander Martens
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Teresa Amaral
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
- Cluster of Excellence iFIT (EXC 2180) "Image Guided and Functionally Instructed Tumor Therapies", Tübingen, Germany
| | - Nikolaus Benjamin Wagner
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
- Department of Dermatology, Venereology and Allergology, Kantonsspital St Gallen, Sankt Gallen, Switzerland
| | - Manfred Claassen
- Internal Medicine I, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
- Department of Computer Science, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Friedegund Meier
- Skin Cancer Center at the University Cancer Centre and National Center for Tumor Diseases Dresden; Department of Dermatology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | | | - Claus Garbe
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Thomas Eigentler
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venereology and Allergology, Berlin, Germany
| | - Benjamin Weide
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
| | - Graham Pawelec
- Department of Immunology, Interfaculty Institute for Cell Biology, Eberhard Karls University Tübingen, Tübingen, Germany
- Health Sciences North Research Institute, Sudbury, Ontario, Canada
| | - Kilian Wistuba-Hamprecht
- Department of Dermatology, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
- Internal Medicine I, University Hospital Tübingen, Eberhard Karls University of Tübingen, Tübingen, Germany
- Department of Immunology, Interfaculty Institute for Cell Biology, Eberhard Karls University Tübingen, Tübingen, Germany
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Real Check RIO: A Real-World Analysis of Nivolumab in First Line Metastatic Melanoma Assessing Efficacy, Safety and Predictive Factors. Cancers (Basel) 2023; 15:cancers15041265. [PMID: 36831607 PMCID: PMC9953812 DOI: 10.3390/cancers15041265] [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: 01/09/2023] [Revised: 02/08/2023] [Accepted: 02/14/2023] [Indexed: 02/18/2023] Open
Abstract
We performed a retrospective study on 51 metastatic melanoma patients treated with Nivolumab in first line, at the Regional Institute of Oncology (RIO) Iasi, Romania between April 2017 and December 2019. We studied the efficacy and safety of anti-PD-1 immune checkpoint inhibitor therapy on a treatment-naive population. After a median follow-up of 36 months, the median progression free survival (PFS) was 26 months (95% CI, 15-36) and the median overall survival (OS) was 31 months (95% CI, 20.1-41.8). At 12 months after the initiation of immunotherapy, the percentage of patients alive was 70%, and at 24 months 62.5%. The most common adverse events observed were dermatological (23.5%) and grade ≥3 was identified in 4 (6.8%) patients. Multivariate analysis indicated that the presence of liver metastases (HR 4.42; 95% CI: 1.88-10.4, p = 0.001) and a neutrophils/lymphocytes ratio (NLR) were associated with poor survival (HR 3.21; 95% CI: 1.04-9.87, p = 0.04). Although retrospective data on a small group of patients were analyzed, we can conclude that our results in RIO are similar to those described in clinical trials and other real-world studies. Our study highlights the potential usefulness of liver metastases and NLR as novel predictive factors in clinical decision-making.
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