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Lim SY, da Silva IP, Adegoke NA, Lo SN, Menzies AM, Carlino MS, Scolyer RA, Long GV, Lee JH, Rizos H. Size matters: integrating tumour volume and immune activation signatures predicts immunotherapy response. Mol Cancer 2024; 23:228. [PMID: 39394099 PMCID: PMC11468211 DOI: 10.1186/s12943-024-02146-0] [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: 08/13/2024] [Accepted: 10/04/2024] [Indexed: 10/13/2024] Open
Abstract
Immune checkpoint inhibitors (ICIs) have transformed cancer treatment, providing significant benefit to patients across various tumour types, including melanoma. However, around 40% of melanoma patients do not benefit from ICI treatment, and accurately predicting ICI response remains challenging. We now describe a novel and simple approach that integrates immune-associated transcriptome signatures and tumour volume burden to better predict ICI response in melanoma patients. RNA sequencing was performed on pre-treatment (PRE) tumour specimens derived from 32 patients with advanced melanoma treated with combination PD1 and CTLA4 inhibitors. Of these 32 patients, 11 also had early during treatment (EDT, 5-15 days after treatment start) tumour samples. Tumour volume was assessed at PRE for all 32 patients, and at first computed tomography (CT) imaging for the 11 patients with EDT samples. Analysis of the Hallmark IFNγ gene set revealed no association with ICI response at PRE (AUC ROC curve = 0.6404, p = 0.24, 63% sensitivity, 71% specificity). When IFNg activity was evaluated with tumour volume (ratio of gene set expression to tumour volume) using logistic regression to predict ICI response, we observed high discriminative power in separating ICI responders from non-responders (AUC = 0.7760, p = 0.02, 88% sensitivity, 67% specificity); this approach was reproduced with other immune-associated transcriptomic gene sets. These findings were further replicated in an independent cohort of 23 melanoma patients treated with PD1 inhibitor. Hence, integrating tumour volume with immune-associated transcriptomic signatures improves the prediction of ICI response, and suggest that higher levels of immune activation relative to tumour burden are required for durable ICI response.
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Affiliation(s)
- Su Yin Lim
- Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia.
- Melanoma Institute Australia, Sydney, NSW, Australia.
| | - Ines Pires da Silva
- Melanoma Institute Australia, Sydney, NSW, Australia
- Blacktown Hospital, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Nurudeen A Adegoke
- Melanoma Institute Australia, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Serigne N Lo
- Melanoma Institute Australia, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Alexander M Menzies
- Melanoma Institute Australia, Sydney, NSW, Australia
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Matteo S Carlino
- Melanoma Institute Australia, Sydney, NSW, Australia
- Crown Princess Mary Cancer Centre, Westmead and Blacktown Hospitals, Sydney, NSW, Australia
| | - Richard A Scolyer
- Melanoma Institute Australia, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia
| | - Georgina V Long
- Melanoma Institute Australia, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Jenny H Lee
- Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia
- Melanoma Institute Australia, Sydney, NSW, Australia
- Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Helen Rizos
- Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia
- Melanoma Institute Australia, Sydney, NSW, Australia
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Schroeder C, Gatidis S, Kelemen O, Schütz L, Bonzheim I, Muyas F, Martus P, Admard J, Armeanu-Ebinger S, Gückel B, Küstner T, Garbe C, Flatz L, Pfannenberg C, Ossowski S, Forschner A. Tumour-informed liquid biopsies to monitor advanced melanoma patients under immune checkpoint inhibition. Nat Commun 2024; 15:8750. [PMID: 39384805 PMCID: PMC11464631 DOI: 10.1038/s41467-024-52923-0] [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: 11/23/2023] [Accepted: 09/20/2024] [Indexed: 10/11/2024] Open
Abstract
Immune checkpoint inhibitors (ICI) have significantly improved overall survival in melanoma patients. However, 60% experience severe adverse events and early response markers are lacking. Circulating tumour DNA (ctDNA) is a promising biomarker for treatment-response and recurrence detection. The prospective PET/LIT study included 104 patients with palliative combined or adjuvant ICI. Tumour-informed sequencing panels to monitor 30 patient-specific variants were designed and 321 liquid biopsies of 87 patients sequenced. Mean sequencing depth after deduplication using UMIs was 6000x and the error rate of UMI-corrected reads was 2.47×10-4. Variant allele fractions correlated with PET/CT MTV (rho=0.69), S100 (rho=0.72), and LDH (rho=0.54). A decrease of allele fractions between T1 and T2 was associated with improved PFS and OS in the palliative cohort (p = 0.008 and p < 0.001). ctDNA was detected in 76.9% of adjuvant patients with relapse (n = 10/13), while all patients without progression (n = 9) remained ctDNA negative. Tumour-informed liquid biopsies are a reliable tool for monitoring treatment response and early relapse in melanoma patients with ICI.
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Affiliation(s)
- Christopher Schroeder
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), partner site Tübingen, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sergios Gatidis
- Department of Radiology, Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Olga Kelemen
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Leon Schütz
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Irina Bonzheim
- Institute of Pathology and Neuropathology, University Hospital Tübingen, Tübingen, Germany
| | - Francesc Muyas
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Peter Martus
- Institute for Clinical Epidemiology and Applied Biostatistics (IKEaB), Tübingen, Germany
| | - Jakob Admard
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
| | - Sorin Armeanu-Ebinger
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Brigitte Gückel
- Department of Radiology, Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Thomas Küstner
- Department of Radiology, Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Claus Garbe
- Department of Dermatology, University Hospital Tübingen, Tübingen, Germany
| | - Lukas Flatz
- Department of Dermatology, University Hospital Tübingen, Tübingen, Germany
| | - Christina Pfannenberg
- Department of Radiology, Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Stephan Ossowski
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
- German Cancer Consortium (DKTK), partner site Tübingen, German Cancer Research Center (DKFZ), Heidelberg, Germany
- NGS Competence Center Tübingen (NCCT), University of Tübingen, Tübingen, Germany
- Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, Tübingen, Germany
| | - Andrea Forschner
- Department of Dermatology, University Hospital Tübingen, Tübingen, Germany.
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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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4
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Li AT, Xu JX, Blah TR, Lo SN, Saw RP, Varey AH, Van Akkooi A, Carlino MS, Pires da Silva I, Menzies AM, Shannon KF, Long GV, Scolyer RA, Thompson JF, Ch'ng S. Comparison of clinicopathological features and treatment outcomes for cutaneous melanomas of the head and neck and melanomas arising at other sites: Implications for systemic therapy. J Am Acad Dermatol 2024:S0190-9622(24)02768-3. [PMID: 39243946 DOI: 10.1016/j.jaad.2024.06.107] [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: 03/01/2024] [Revised: 06/14/2024] [Accepted: 06/24/2024] [Indexed: 09/09/2024]
Abstract
BACKGROUND Melanoma is increasingly recognized as a heterogeneous disease, with conflicting evidence regarding whether cutaneous head and neck melanoma (CHNM) represents a distinct entity. OBJECTIVE Comparison of clinicopathological features and treatment outcomes of CHNM and cutaneous melanomas of other sites (CMOS). METHODS Patients with CHNM and CMOS diagnosed between 2000 and 2018 were included. Locoregional control, distant metastasis-free survival, melanoma-specific survival (MSS), and overall survival (OS) were described using the Kaplan-Meier method. Cox regression analyses were performed to examine associations between prognostic factors and outcomes. Additional analyses of survival from time of stage IV disease diagnosis were undertaken, stratified by receipt of BRAF-targeted therapy and immune checkpoint inhibitor immunotherapy. RESULTS Of 3007 CHNM and 10,637 CMOS patients, CHNM had more adverse pathological features (median age 65.9 vs 58.5, P < .001; median Breslow thickness 1.7 mm vs 1.2 mm, P < .001; and ulceration 21.2% vs 18.2%, P < .001). CHNM had worse locoregional control (hazard ratio (HR) 1.17, P < .001) and distant metastasis-free survival (HR 1.25, P < .001) but there were no significant differences in MSS or OS. Among stage IV patients who received immune checkpoint inhibitor, CHNM had better MSS (HR 0.56, P = .001) and OS (HR 0.57, P < .001) on multivariable analyses. LIMITATIONS Retrospective study, offset by prospective data collection. CONCLUSION CHNM is associated with a distinct clinicopathological and prognostic profile.
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Affiliation(s)
- Andrew T Li
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Victorian Melanoma Service, The Alfred Hospital, Melbourne, VIC, Australia
| | - Jessie X Xu
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Tyler R Blah
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Serigne N Lo
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Robyn Pm Saw
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Mater Hospital, Sydney, NSW, Australia
| | - Alexander Hr Varey
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Westmead and Blacktown Hospitals, Sydney, NSW, Australia
| | - Alexander Van Akkooi
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Mater Hospital, Sydney, NSW, Australia
| | - Matteo S Carlino
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Westmead and Blacktown Hospitals, Sydney, NSW, Australia
| | - Ines Pires da Silva
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Mater Hospital, Sydney, NSW, Australia; Westmead and Blacktown Hospitals, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Alexander M Menzies
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Mater Hospital, Sydney, NSW, Australia; Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Kerwin F Shannon
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Mater Hospital, Sydney, NSW, Australia
| | - Georgina V Long
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Mater Hospital, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; Royal North Shore Hospital, St Leonards, NSW, Australia
| | - Richard A Scolyer
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; NSW Health Pathology, Sydney, NSW, Australia
| | - John F Thompson
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Mater Hospital, Sydney, NSW, Australia; Faculty of Health and Medical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Sydney Ch'ng
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia; Royal Prince Alfred Hospital, Camperdown, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Mater Hospital, Sydney, NSW, Australia; Chris O'Brien Lifehouse Cancer Centre, Camperdown, NSW, Australia.
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Li T, Sun S, Li Y, Zhang Y, Wei L. Immunotherapy revolutionizing brain metastatic cancer treatment: personalized strategies for transformative outcomes. Front Immunol 2024; 15:1418580. [PMID: 39136027 PMCID: PMC11317269 DOI: 10.3389/fimmu.2024.1418580] [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: 04/16/2024] [Accepted: 07/10/2024] [Indexed: 08/15/2024] Open
Abstract
Brain metastatic cancer poses a significant clinical challenge, with limited treatment options and poor prognosis for patients. In recent years, immunotherapy has emerged as a promising strategy for addressing brain metastases, offering distinct advantages over conventional treatments. This review explores the evolving landscape of tumor immunotherapy in the context of brain metastatic cancer, focusing on the intricate interplay between the tumor microenvironment (TME) and immunotherapeutic approaches. By elucidating the complex interactions within the TME, including the role of immune cells, cytokines, and extracellular matrix components, this review highlights the potential of immunotherapy to reshape the treatment paradigm for brain metastases. Leveraging immune checkpoint inhibitors, cellular immunotherapies, and personalized treatment strategies, immunotherapy holds promise in overcoming the challenges posed by the blood-brain barrier and immunosuppressive microenvironment of brain metastases. Through a comprehensive analysis of current research findings and future directions, this review underscores the transformative impact of immunotherapy on the management of brain metastatic cancer, offering new insights and opportunities for personalized and precise therapeutic interventions.
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Affiliation(s)
- Ting Li
- Medical Oncology Department of Thoracic Cancer 1, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, China
| | - Shichen Sun
- Department of Radiotherapy, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, China
| | - Yubing Li
- Department of Radiotherapy, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, China
| | - Yanyu Zhang
- Department of Radiotherapy, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, China
| | - Linlin Wei
- Department of Radiotherapy, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, China
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Petersen SK, Hansen CR, Ellebaek E, Schmidt H, Haslund CA, Ruhlmann CH, Bastholt L. Does patient sex affect the treatment outcome of immune checkpoint inhibitors? A Danish, observational melanoma study. Eur J Cancer 2024; 205:114099. [PMID: 38754294 DOI: 10.1016/j.ejca.2024.114099] [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: 02/28/2024] [Revised: 04/16/2024] [Accepted: 04/23/2024] [Indexed: 05/18/2024]
Abstract
AIM The objective of this study was to evaluate whether patient biological sex influences treatment outcomes in patients with metastatic melanoma (MM) undergoing first-line immune checkpoint inhibitor (ICI) therapy. METHODS The Danish Metastatic Melanoma Database (DAMMED) was employed to identify patients who underwent first-line ICI therapy for MM in Denmark from 2013 to 2021. Excluding adjuvant treatment, uveal and mucosal histological subtypes, the study conducted univariable and multivariable analyses to evaluate the influence of patient sex in survival analyses. Further, landmark survival of this real-world national cohort was described for progression free survival (PFS), overall survival (OS) and melanoma-specific survival (MSS). RESULTS The analysis encompassed a cohort of 1378 patients with MM. Compared to male sex, females had significantly improved OS (p = 0.003) when tested in univariable testing. Multivariable analyses, controlling for age, performance status, lactate dehydrogenase level, BRAF status, M-stage, and number of metastatic sites revealed significant favourable outcomes associated with female sex irrespective of the considered survival metrics (pPFS = 0.014, pOS = 0.002, and pMSS = 0.03). The observed five-year OS rates of the entire cohort were 47% and 38%, while melanoma-specific survival were 50% and 45% for female and male, respectively. CONCLUSION In this nationwide cohort of patients with MM undergoing first-line ICI treatment females exhibited superior treatment outcomes compared to males. Sex was identified as an independent predictive variable for treatment outcomes, irrespective of the chosen outcome measures considered. Our analyses are not able to conclude whether the differences in outcome is attributable to differences in biology or to treatment strategy.
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Affiliation(s)
- Soeren Kjaer Petersen
- Department of Oncology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern, Denmark.
| | - Christian Rønn Hansen
- Department of Clinical Research, University of Southern, Denmark; Laboratory of Radiation Physics, Odense University Hospital, Odense, Denmark
| | - Eva Ellebaek
- National Centre for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Henrik Schmidt
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Christina H Ruhlmann
- Department of Oncology, Odense University Hospital, Odense, Denmark; Department of Clinical Research, University of Southern, Denmark
| | - Lars Bastholt
- Department of Oncology, Odense University Hospital, Odense, Denmark
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Goodman RS, Jung S, Fletcher K, Burnette H, Mohyuddin I, Irlmeier R, Ye F, Johnson DB. Primary Tumor Characteristics as Biomarkers of Immunotherapy Response in Advanced Melanoma: A Retrospective Cohort Study. Cancers (Basel) 2024; 16:2355. [PMID: 39001417 PMCID: PMC11240575 DOI: 10.3390/cancers16132355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 06/16/2024] [Accepted: 06/25/2024] [Indexed: 07/16/2024] Open
Abstract
Identifying patients likely to benefit from immune checkpoint inhibitor (ICI) treatment remains a crucial goal for melanoma. The objective of this study is to assess the association between primary tumor features and immunotherapy response and survival in advanced melanoma patients. In this single-center retrospective cohort study, disease characteristics, response to immunotherapy, PFS, and OS were assessed among melanoma patients (excluding mucosal and uveal primaries) treated with ICI. Among 447 patients, 300 (67.1%) received anti-PD-1 monotherapy and 147 (32.9%) received ipilimumab/nivolumab. A total of 338 (75.6%) had cutaneous melanoma, 29 (6.5%) had acral melanoma, and 80 (17.9%) had melanoma of unknown primary. Ulceration and stage at initial presentation were associated with inferior outcomes on univariate analysis. However, on multivariate analysis, this result was not observed, but cutaneous melanoma and each of its subtypes (superficial spreading, nodular, other, unknown) were positively associated with response, longer PFS, and longer OS. Metastatic stage (M1c, M1d) at presentation (OR = 1.8, p < 0.05) and BRAFV600E mutation status (OR = 1.6, p < 0.001) were associated with shorter PFS. This study is limited by its retrospective and single-center design. Cutaneous melanoma and its subtypes were significantly associated with response, PFS, and OS compared with acral or unknown primary melanoma.
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Affiliation(s)
- Rachel S Goodman
- Vanderbilt University School of Medicine, Nashville, TN 37240, USA
| | - Seungyeon Jung
- Vanderbilt University School of Medicine, Nashville, TN 37240, USA
| | - Kylie Fletcher
- Vanderbilt University School of Medicine, Nashville, TN 37240, USA
| | - Hannah Burnette
- Department of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | | | - Rebecca Irlmeier
- Vanderbilt University School of Medicine, Nashville, TN 37240, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Fei Ye
- Vanderbilt University School of Medicine, Nashville, TN 37240, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37240, USA
| | - Douglas B Johnson
- Department of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TN 37240, USA
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8
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Gupta M, Stukalin I, Meyers DE, Heng DYC, Monzon J, Cheng T, Navani V. Imaging response to immune checkpoint inhibitors in patients with advanced melanoma: a retrospective observational cohort study. Front Oncol 2024; 14:1385425. [PMID: 38884085 PMCID: PMC11176500 DOI: 10.3389/fonc.2024.1385425] [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: 02/12/2024] [Accepted: 05/13/2024] [Indexed: 06/18/2024] Open
Abstract
Background The association between objective imaging response and first line immune checkpoint inhibitor (ICI) therapy regimes in advanced melanoma remains uncharacterized in routine practice. Methods We conducted a multi-center retrospective cohort analysis of advanced melanoma patients receiving first line ICI therapy from August 2013-May 2020 in Alberta, Canada. The primary outcome was likelihood of RECIST v1.1 assessed objective imaging response between patients receiving anti-programmed cell death protein 1 (anti-PD1) monotherapy and those receiving combination ipilimumab-nivolumab. Secondary outcomes were identification of baseline characteristics associated with non-response and the association of imaging response with overall survival (OS) and time to next treatment (TTNT). Results 198 patients were included, 41/198 (20.7%) had complete response, 86/198 (43.4%) had partial response, 23/198 (11.6%) had stable disease, and 48/198 (24.2%) had progressive disease. Median OS was not reached (NR) (95% CI 49.0-NR) months for complete responders, NR (95%CI 52.9-NR) months for partial responders, 33.7 (95%CI 15.8-NR) months for stable disease, and 6.4 (95%CI 5.2-10.1) months for progressive disease (log-rank p<0.001). Likelihood of objective imaging response remained similar between anti-PD1 monotherapy and ipilimumab-nivolumab groups (OR 1.95 95%CI 0.85-4.63, p=0.121). Elevated LDH level (OR 0.46; 95%CI 0.21-0.98, p=0.043), mucosal primary site (OR 0.14; 95%CI 0.03-0.48, p=0.003), and BRAF V600E mutation status (OR 0.31; 95%CI 0.13-0.72, p=0.007) were associated with decreased likelihood of response. Conclusion No significant difference in likelihood of imaging response between anti-PD1 monotherapy and combination ipilimumab-nivolumab was observed. Elevated LDH level, mucosal primary site, and BRAF V600E mutation status were associated with decreased likelihood of response. Given that pivotal clinical trials of ipilimumab-nivolumab did not formally compare ipilimumab-nivolumab with nivolumab monotherapy, this work adds context to differences in outcomes when these agents are used. These results may inform treatment selection, and aid in counseling of patients treated with first-line ICI therapy in routine clinical practice settings.
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Affiliation(s)
- Mehul Gupta
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Igor Stukalin
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Daniel E Meyers
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Daniel Y C Heng
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Jose Monzon
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Tina Cheng
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Vishal Navani
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Tom Baker Cancer Centre, Calgary, AB, Canada
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9
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Li J, Dan K, Ai J. Machine learning in the prediction of immunotherapy response and prognosis of melanoma: a systematic review and meta-analysis. Front Immunol 2024; 15:1281940. [PMID: 38835779 PMCID: PMC11148209 DOI: 10.3389/fimmu.2024.1281940] [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: 08/23/2023] [Accepted: 05/08/2024] [Indexed: 06/06/2024] Open
Abstract
Background The emergence of immunotherapy has changed the treatment modality for melanoma and prolonged the survival of many patients. However, a handful of patients remain unresponsive to immunotherapy and effective tools for early identification of this patient population are still lacking. Researchers have developed machine learning algorithms for predicting immunotherapy response in melanoma, but their predictive accuracy has been inconsistent. Therefore, the present systematic review and meta-analysis was performed to comprehensively evaluate the predictive accuracy of machine learning in melanoma response to immunotherapy. Methods Relevant studies were searched in PubMed, Web of Sciences, Cochrane Library, and Embase from their inception to July 30, 2022. The risk of bias and applicability of the included studies were assessed using the Prediction Model Risk of Bias Assessment Tool (PROBAST). Meta-analysis was performed on R4.2.0. Results A total of 36 studies consisting of 30 cohort studies and 6 case-control studies were included. These studies were mainly published between 2019 and 2022 and encompassed 75 models. The outcome measures of this study were progression-free survival (PFS), overall survival (OS), and treatment response. The pooled c-index was 0.728 (95%CI: 0.629-0.828) for PFS in the training set, 0.760 (95%CI: 0.728-0.792) and 0.819 (95%CI: 0.757-0.880) for treatment response in the training and validation sets, respectively, and 0.746 (95%CI: 0.721-0.771) and 0.700 (95%CI: 0.677-0.724) for OS in the training and validation sets, respectively. Conclusion Machine learning has considerable predictive accuracy in melanoma immunotherapy response and prognosis, especially in the former. However, due to the lack of external validation and the scarcity of certain types of models, further studies are warranted.
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Affiliation(s)
- Juan Li
- Department of Dermatology, Chongqing Dangdai Plastic Surgery Hospital, Chongqing, China
| | - Kena Dan
- Department of Dermatology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jun Ai
- Department of Dermatology, Chongqing Huamei Plastic Surgery Hospital, Chongqing, China
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10
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van Duin IAJ, Verheijden RJ, van Diest PJ, Blokx WAM, El-Sharouni MA, Verhoeff JJC, Leiner T, van den Eertwegh AJM, de Groot JWB, van Not OJ, Aarts MJB, van den Berkmortel FWPJ, Blank CU, Haanen JBAG, Hospers GAP, Piersma D, van Rijn RS, van der Veldt AAM, Vreugdenhil G, Wouters MWJM, Stevense-den Boer MAM, Boers-Sonderen MJ, Kapiteijn E, Suijkerbuijk KPM, Elias SG. A prediction model for response to immune checkpoint inhibition in advanced melanoma. Int J Cancer 2024; 154:1760-1771. [PMID: 38296842 DOI: 10.1002/ijc.34853] [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: 07/05/2023] [Revised: 11/01/2023] [Accepted: 12/05/2023] [Indexed: 02/02/2024]
Abstract
Predicting who will benefit from treatment with immune checkpoint inhibition (ICI) in patients with advanced melanoma is challenging. We developed a multivariable prediction model for response to ICI, using routinely available clinical data including primary melanoma characteristics. We used a population-based cohort of 3525 patients with advanced cutaneous melanoma treated with anti-PD-1-based therapy. Our prediction model for predicting response within 6 months after ICI initiation was internally validated with bootstrap resampling. Performance evaluation included calibration, discrimination and internal-external cross-validation. Included patients received anti-PD-1 monotherapy (n = 2366) or ipilimumab plus nivolumab (n = 1159) in any treatment line. The model included serum lactate dehydrogenase, World Health Organization performance score, type and line of ICI, disease stage and time to first distant recurrence-all at start of ICI-, and location and type of primary melanoma, the presence of satellites and/or in-transit metastases at primary diagnosis and sex. The over-optimism adjusted area under the receiver operating characteristic was 0.66 (95% CI: 0.64-0.66). The range of predicted response probabilities was 7%-81%. Based on these probabilities, patients were categorized into quartiles. Compared to the lowest response quartile, patients in the highest quartile had a significantly longer median progression-free survival (20.0 vs 2.8 months; P < .001) and median overall survival (62.0 vs 8.0 months; P < .001). Our prediction model, based on routinely available clinical variables and primary melanoma characteristics, predicts response to ICI in patients with advanced melanoma and discriminates well between treated patients with a very good and very poor prognosis.
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Affiliation(s)
- Isabella A J van Duin
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Rik J Verheijden
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Paul J van Diest
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Willeke A M Blokx
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Mary-Ann El-Sharouni
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Joost J C Verhoeff
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Tim Leiner
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Alfonsus J M van den Eertwegh
- Department of Medical Oncology, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | | | - Olivier J van Not
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Scientific Bureau, Dutch Institute for Clinical Auditing, Leiden, The Netherlands
| | - Maureen J B Aarts
- Department of Medical Oncology, GROW-School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | | | - Christian U Blank
- Department of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - John B A G Haanen
- Department of Molecular Oncology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Geke A P Hospers
- Department of Medical Oncology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Djura Piersma
- Department of Internal Medicine, Medisch Spectrum Twente, Enschede, The Netherlands
| | - Rozemarijn S van Rijn
- Department of Internal Medicine, Medical Centre Leeuwarden, Leeuwarden, The Netherlands
| | - Astrid A M van der Veldt
- Department of Medical Oncology and Radiology & Nuclear Medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - Gerard Vreugdenhil
- Department of Internal Medicine, Maxima Medical Centre, Eindhoven, The Netherlands
| | - Michel W J M Wouters
- Scientific Bureau, Dutch Institute for Clinical Auditing, Leiden, The Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Marye J Boers-Sonderen
- Department of Medical Oncology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Ellen Kapiteijn
- Department of Medical Oncology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Karijn P M Suijkerbuijk
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Sjoerd G Elias
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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11
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van Amsterdam WAC, de Jong PA, Verhoeff JJC, Leiner T, Ranganath R. From algorithms to action: improving patient care requires causality. BMC Med Inform Decis Mak 2024; 24:111. [PMID: 38664664 PMCID: PMC11046962 DOI: 10.1186/s12911-024-02513-3] [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: 01/31/2023] [Accepted: 04/15/2024] [Indexed: 04/28/2024] Open
Abstract
In cancer research there is much interest in building and validating outcome prediction models to support treatment decisions. However, because most outcome prediction models are developed and validated without regard to the causal aspects of treatment decision making, many published outcome prediction models may cause harm when used for decision making, despite being found accurate in validation studies. Guidelines on prediction model validation and the checklist for risk model endorsement by the American Joint Committee on Cancer do not protect against prediction models that are accurate during development and validation but harmful when used for decision making. We explain why this is the case and how to build and validate models that are useful for decision making.
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Affiliation(s)
- Wouter A C van Amsterdam
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.
| | - Pim A de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Joost J C Verhoeff
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Tim Leiner
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
- Mayo Clinic, Rochester, MN, USA
| | - Rajesh Ranganath
- Courant Institute of Mathematical Sciences, Department of Computer Science, New York University, New York City, NY, USA
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12
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Tan B, Yang C, Hu J, Xing H, Zhang M. Prediction of early recovery of graft function after living donor liver transplantation in children. Sci Rep 2024; 14:9472. [PMID: 38658800 PMCID: PMC11043388 DOI: 10.1038/s41598-024-60211-6] [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: 01/22/2024] [Accepted: 04/19/2024] [Indexed: 04/26/2024] Open
Abstract
For end-stage liver disease in children, living donor liver transplantation (LDLT) is often the important standard curative treatment. However, there is a lack of research on early recovery of graft function after pediatric LDLT. This is a single-center, ambispective cohort study. We collected the demographic and clinicopathological data of donors and recipients, and determined the risk factors of postoperative delayed recovery of hepatic function (DRHF) by univariate and multivariate Logistic analyses. 181 cases were included in the retrospective cohort and 50 cases in the prospective cohort. The incidence of DRHF after LDLT in children was 29.4%, and DRHF could well evaluate the early recovery of graft function after LDLT. Through Logistic analyses and AIC score, preoperative liver function of donors, ischemia duration level of the liver graft, Ln (Cr of recipients before operation) and Ln (TB of recipients on the 3rd day after operation) were predictive indicators for DRHF after LDLT in children. Using the above factors, we constructed a predictive model to evaluate the incidence of postoperative DRHF. Self-verification and prospective internal verification showed that this prediction model had good accuracy and clinical applicability. In conclusion, we pointed many risk factors for early delayed recovery of graft function after LDLT in children, and developed a visual and personalized predictive model for them, offering valuable insights for clinical management.
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Affiliation(s)
- Bingqian Tan
- Department of Hepatobiliary Surgery Children's Hospital of Chongqing Medical University, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, 400000, China
| | - Chenyu Yang
- Department of Hepatobiliary Surgery Children's Hospital of Chongqing Medical University, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, 400000, China
| | - Jiqiang Hu
- Department of Hepatobiliary Surgery Children's Hospital of Chongqing Medical University, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, 400000, China
| | - Huiwu Xing
- Department of Hepatobiliary Surgery Children's Hospital of Chongqing Medical University, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, 400000, China.
- Department of Pediatric Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China.
| | - Mingman Zhang
- Department of Hepatobiliary Surgery Children's Hospital of Chongqing Medical University, Chongqing Key Laboratory of Pediatrics, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, 400000, China.
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13
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Bai X, Attrill GH, Gide TN, Ferguson PM, Nahar KJ, Shang P, Vergara IA, Palendira U, da Silva IP, Carlino MS, Menzies AM, Long GV, Scolyer RA, Wilmott JS, Quek C. Stroma-infiltrating T cell spatiotypes define immunotherapy outcomes in adolescent and young adult patients with melanoma. Nat Commun 2024; 15:3014. [PMID: 38589406 PMCID: PMC11002019 DOI: 10.1038/s41467-024-47301-9] [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: 04/16/2023] [Accepted: 03/22/2024] [Indexed: 04/10/2024] Open
Abstract
The biological underpinnings of therapeutic resistance to immune checkpoint inhibitors (ICI) in adolescent and young adult (AYA) melanoma patients are incompletely understood. Here, we characterize the immunogenomic profile and spatial architecture of the tumor microenvironment (TME) in AYA (aged ≤ 30 years) and older adult (aged 31-84 years) patients with melanoma, to determine the AYA-specific features associated with ICI treatment outcomes. We identify two ICI-resistant spatiotypes in AYA patients with melanoma showing stroma-infiltrating lymphocytes (SILs) that are distinct from the adult TME. The SILhigh subtype was enriched in regulatory T cells in the peritumoral space and showed upregulated expression of immune checkpoint molecules, while the SILlow subtype showed a lack of immune activation. We establish a young immunosuppressive melanoma score that can predict ICI responsiveness in AYA patients and propose personalized therapeutic strategies for the ICI-resistant subgroups. These findings highlight the distinct immunogenomic profile of AYA patients, and individualized TME features in ICI-resistant AYA melanoma that require patient-specific treatment strategies.
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Affiliation(s)
- Xinyu Bai
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Grace H Attrill
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Tuba N Gide
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Peter M Ferguson
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Royal Prince Alfred Hospital, Sydney, NSW, Australia
- NSW Health Pathology, Sydney, NSW, Australia
| | - Kazi J Nahar
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Ping Shang
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Ismael A Vergara
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Umaimainthan Palendira
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Centenary Institute, The University of Sydney, Sydney, NSW, Australia
| | - Ines Pires da Silva
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Westmead and Blacktown Hospitals, Sydney, NSW, Australia
| | - Matteo S Carlino
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Westmead and Blacktown Hospitals, Sydney, NSW, Australia
| | - Alexander M Menzies
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Royal North Shore Hospital, Sydney, NSW, Australia
- Mater Hospital, North Sydney, NSW, Australia
| | - Georgina V Long
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Royal North Shore Hospital, Sydney, NSW, Australia
- Mater Hospital, North Sydney, NSW, Australia
| | - Richard A Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Royal Prince Alfred Hospital, Sydney, NSW, Australia
- NSW Health Pathology, Sydney, NSW, Australia
| | - James S Wilmott
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Camelia Quek
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
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14
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Splendiani E, Besharat ZM, Covre A, Maio M, Di Giacomo AM, Ferretti E. Immunotherapy in melanoma: Can we predict response to treatment with circulating biomarkers? Pharmacol Ther 2024; 256:108613. [PMID: 38367867 DOI: 10.1016/j.pharmthera.2024.108613] [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: 10/16/2023] [Revised: 01/08/2024] [Accepted: 02/09/2024] [Indexed: 02/19/2024]
Abstract
Melanoma is the most aggressive form of skin cancer, representing approximately 4% of all cutaneous neoplasms and accounting for up to 80% of deaths. Advanced stages of melanoma involve metastatic processes and are associated with high mortality and morbidity, mainly due to the rapid dissemination and heterogeneous responses to current therapies, including immunotherapy. Immune checkpoint inhibitors (ICIs) are currently used in the treatment of metastatic melanoma (MM) and despite being linked to an increase in patient survival, a high percentage of them still do not benefit from it. Accordingly, the number of therapeutic regimens for MM patients using ICIs either alone or in combination with other therapies has increased, together with the need for reliable biomarkers that can both predict and monitor response to ICIs. In this context, circulating biomarkers, such as DNA, RNA, proteins, and cells, have emerged due to their ability to reflect disease status. Moreover, blood tests are minimally invasive and provide an attractive option to detect biomarkers, avoiding stressful medical procedures. This systematic review aims to evaluate the possibility of a non-invasive biomarker signature that can guide therapeutic decisions. The studies reported here offer valuable insight into how circulating biomarkers can have a role in personalized treatments for melanoma patients receiving ICIs therapy, emphasizing the need for rigorous clinical trials to confirm findings and establish standardized procedures.
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Affiliation(s)
- Elena Splendiani
- Department of Experimental Medicine, Sapienza University, Rome, Italy
| | | | - Alessia Covre
- Center for Immuno-Oncology, Medical Oncology and Immunotherapy, Department of Oncology, University Hospital of Siena, 53100 Siena, Italy; Medical Oncology, Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy
| | - Michele Maio
- Center for Immuno-Oncology, Medical Oncology and Immunotherapy, Department of Oncology, University Hospital of Siena, 53100 Siena, Italy; Medical Oncology, Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy
| | - Anna Maria Di Giacomo
- Center for Immuno-Oncology, Medical Oncology and Immunotherapy, Department of Oncology, University Hospital of Siena, 53100 Siena, Italy; Medical Oncology, Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy
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15
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Schenk KM, Deutsch JS, Chandra S, Davar D, Eroglu Z, Khushalani NI, Luke JJ, Ott PA, Sosman JA, Aggarwal V, Schollenberger MD, Sharfman WH, Bibee KP, Scott JF, Loss MJ, Wang H, Qi H, Sharon E, Streicher H, Chen HX, Woodward RN, Bagnasco SM, Taube JM, Topalian SL, Brennan DC, Lipson EJ. Nivolumab + Tacrolimus + Prednisone ± Ipilimumab for Kidney Transplant Recipients With Advanced Cutaneous Cancers. J Clin Oncol 2024; 42:1011-1020. [PMID: 38252910 DOI: 10.1200/jco.23.01497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 10/31/2023] [Accepted: 12/08/2023] [Indexed: 01/24/2024] Open
Abstract
PURPOSE Cancer-related mortality rates among kidney transplant recipients (KTR) are high, but these patients have largely been excluded from trials of immune checkpoint inhibitors because of immunosuppression and risk of treatment-related allograft loss (TRAL). We conducted a prospective clinical trial testing nivolumab (NIVO) + tacrolimus (TACRO) + prednisone (PRED) ± ipilimumab (IPI) in KTR with advanced cutaneous cancers. METHODS Adult KTR with advanced melanoma or basal, cutaneous squamous, or Merkel cell carcinomas were eligible. Immunosuppression was standardized to TACRO (serum trough 2-5 ng/mL) + PRED 5 mg once daily. Patients then received NIVO 480 mg IV once every 4 weeks. The primary composite end point was partial or complete (tumor) response (CR) or stable disease per RECIST v1.1 without allograft loss at 16W. Patients with progressive disease (PD) could receive IPI 1 mg/kg IV + NIVO 3 mg/kg once every 3 weeks × 4 followed by NIVO. Donor-derived cell-free DNA (dd-cfDNA) levels were measured approximately once every 2 weeks as a potential predictor of allograft rejection. RESULTS Among eight evaluable patients, none met the trial's primary end point. All eight patients experienced PD on NIVO + TACRO + PRED; TRAL occurred in one patient. Six patients then received IPI + NIVO + TACRO + PRED. Best overall responses: two CR (one with TRAL) and four PD (one with TRAL). In total, 7 of 8 pre-NIVO tumor biopsies contained a paucity of infiltrating immune cells. In total, 2 of 5 on-NIVO biopsies demonstrated moderate immune infiltrates; both patients later experienced a CR to IPI + NIVO. In 2 of 3 patients with TRAL, dd-cfDNA elevations occurred 10 and 15 days before increases in serum creatinine. CONCLUSION In most KTR with advanced skin cancer, TACRO + PRED provides insufficient allograft protection and compromises immune-mediated tumor regression after administration of NIVO ± IPI. Elevated dd-cfDNA levels can signal treatment-related allograft rejection earlier than rises in serum creatinine.
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Affiliation(s)
- Kara M Schenk
- Department of Oncology, Bozeman Health Deaconess Cancer Center, Bozeman, MT
- Department of Oncology, Johns Hopkins University, Baltimore, MD
| | - Julie Stein Deutsch
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD
- Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Sunandana Chandra
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL
| | - Diwakar Davar
- Department of Medicine and UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA
| | - Zeynep Eroglu
- Department of Cutaneous Oncology, The Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Nikhil I Khushalani
- Department of Cutaneous Oncology, The Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Jason J Luke
- Cancer Immunotherapeutics Center, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA
| | - Patrick A Ott
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, MA
| | - Jeffrey A Sosman
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL
| | - Vikram Aggarwal
- Division of Nephrology and Hypertension, Northwestern University Feinberg School of Medicine, Chicago, IL
| | | | - William H Sharfman
- Department of Oncology, Johns Hopkins University, Baltimore, MD
- Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kristin P Bibee
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jeffrey F Scott
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD
- Clinical Skin Center of Northern Virginia, Fairfax, VA
| | - Manisha J Loss
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Hao Wang
- Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
- Division of Quantitative Sciences, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD
| | - Hanfei Qi
- Division of Quantitative Sciences, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD
| | - Elad Sharon
- National Cancer Institute, Investigational Drug Branch, Cancer Therapy Evaluation Program, Bethesda, MD
| | - Howard Streicher
- National Cancer Institute, Investigational Drug Branch, Cancer Therapy Evaluation Program, Bethesda, MD
| | - Helen X Chen
- National Cancer Institute, Investigational Drug Branch, Cancer Therapy Evaluation Program, Bethesda, MD
| | | | - Serena M Bagnasco
- Department of Pathology, Johns Hopkins University School of Medicine and Johns Hopkins Hospital, Baltimore, MD
| | - Janis M Taube
- Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD
- Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Suzanne L Topalian
- Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Daniel C Brennan
- Department of Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Evan J Lipson
- Department of Oncology, Johns Hopkins University, Baltimore, MD
- Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
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16
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Benhima N, Belbaraka R, Langouo Fontsa MD. Single agent vs combination immunotherapy in advanced melanoma: a review of the evidence. Curr Opin Oncol 2024; 36:69-73. [PMID: 38193381 DOI: 10.1097/cco.0000000000001014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2024]
Abstract
PURPOSE OF REVIEW The aim of this review is to outline the current landscape of advanced melanoma treatment options, provide insights on selecting combination therapies within different clinical scenarios, capture clinical relevance of anti-programmed cell death protein 1 (PD-1) monotherapy, and explore the unmet needs with immune check-point inhibitors (ICI) in advanced melanoma. RECENT FINDINGS ICI based treatment consisted of single agent ICI or dual combination ICI-ICI is the standard of care of front-line treatment of metastatic or unresectable melanoma. PD-1 inhibitors (Pembrolizumab and Nivolumab) improved progression free survival (PFS) and overall survival (OS) compared to chemotherapy and cytotoxic T-lymphocyte associated protein 4 (CTLA-4) inhibitors (Ipilimumab and Tremelimumab). The dual ICI combination (Nivolumab and Ipilimumab) provided profound and durable responses better than monotherapy, and the longest overall survival ever achieved in advanced disease, including in patients with murine sarcoma viral oncogene homolog B (BRAF)-mutated disease, but at the cost of a high risk of severe toxicity. The new dual blockage of LAG-3 and PD-1 (Nivolumab-Relatlimab) emerges as a valid option with promising efficacy outcomes and a favourable toxicity profile. Mature survival data is still needed to capture the real benefit. SUMMARY These new plethora of options pose new challenges not only for optimal treatment sequencing strategies but especially for management of adverse effects, endorsing the need to integrate a holistic and personalized approach for patient care.
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Affiliation(s)
- Nada Benhima
- Medical Oncology Department, Mohammed VI University Hospital, Marrakech, Morocco
- Medical Oncology Clinic, Jules Bordet Institute, Brussels, Belgium
| | - Rhizlane Belbaraka
- Medical Oncology Department, Mohammed VI University Hospital, Marrakech, Morocco
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17
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Maher NG, Vergara IA, Long GV, Scolyer RA. Prognostic and predictive biomarkers in melanoma. Pathology 2024; 56:259-273. [PMID: 38245478 DOI: 10.1016/j.pathol.2023.11.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/20/2023] [Indexed: 01/22/2024]
Abstract
Biomarkers help to inform the clinical management of patients with melanoma. For patients with clinically localised primary melanoma, biomarkers can help to predict post-surgical outcome (including via the use of risk prediction tools), better select patients for sentinel lymph node biopsy, and tailor catch-all follow-up protocols to the individual. Systemic drug treatments, including immune checkpoint inhibitor (ICI) therapies and BRAF-targeted therapies, have radically improved the prognosis of metastatic (stage III and IV) cutaneous melanoma patients, and also shown benefit in the earlier setting of stage IIB/C primary melanoma. Unfortunately, a response is far from guaranteed. Here, we review clinically relevant, established, and emerging, prognostic, and predictive pathological biomarkers that refine clinical decision-making in primary and metastatic melanoma patients. Gene expression profile assays and nomograms are emerging tools for prognostication and sentinel lymph node risk prediction in primary melanoma patients. Biomarkers incorporated into clinical practice guidelines include BRAF V600 mutations for the use of targeted therapies in metastatic cutaneous melanoma, and the HLA-A∗02:01 allele for the use of a bispecific fusion protein in metastatic uveal melanoma. Several predictive biomarkers have been proposed for ICI therapies but have not been incorporated into Australian clinical practice guidelines. Further research, validation, and assessment of clinical utility is required before more prognostic and predictive biomarkers are fluidly integrated into routine care.
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Affiliation(s)
- Nigel G Maher
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Ismael A Vergara
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Georgina V Long
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; Royal North Shore and Mater Hospitals, Sydney, NSW, Australia
| | - Richard A Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
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18
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Lippenszky L, Mittendorf KF, Kiss Z, LeNoue-Newton ML, Napan-Molina P, Rahman P, Ye C, Laczi B, Csernai E, Jain NM, Holt ME, Maxwell CN, Ball M, Ma Y, Mitchell MB, Johnson DB, Smith DS, Park BH, Micheel CM, Fabbri D, Wolber J, Osterman TJ. Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data. JCO Clin Cancer Inform 2024; 8:e2300207. [PMID: 38427922 PMCID: PMC10919473 DOI: 10.1200/cci.23.00207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/15/2023] [Accepted: 01/17/2024] [Indexed: 03/03/2024] Open
Abstract
PURPOSE Although immune checkpoint inhibitors (ICIs) have improved outcomes in certain patients with cancer, they can also cause life-threatening immunotoxicities. Predicting immunotoxicity risks alongside response could provide a personalized risk-benefit profile, inform therapeutic decision making, and improve clinical trial cohort selection. We aimed to build a machine learning (ML) framework using routine electronic health record (EHR) data to predict hepatitis, colitis, pneumonitis, and 1-year overall survival. METHODS Real-world EHR data of more than 2,200 patients treated with ICI through December 31, 2018, were used to develop predictive models. Using a prediction time point of ICI initiation, a 1-year prediction time window was applied to create binary labels for the four outcomes for each patient. Feature engineering involved aggregating laboratory measurements over appropriate time windows (60-365 days). Patients were randomly partitioned into training (80%) and test (20%) sets. Random forest classifiers were developed using a rigorous model development framework. RESULTS The patient cohort had a median age of 63 years and was 61.8% male. Patients predominantly had melanoma (37.8%), lung cancer (27.3%), or genitourinary cancer (16.4%). They were treated with PD-1 (60.4%), PD-L1 (9.0%), and CTLA-4 (19.7%) ICIs. Our models demonstrate reasonably strong performance, with AUCs of 0.739, 0.729, 0.755, and 0.752 for the pneumonitis, hepatitis, colitis, and 1-year overall survival models, respectively. Each model relies on an outcome-specific feature set, though some features are shared among models. CONCLUSION To our knowledge, this is the first ML solution that assesses individual ICI risk-benefit profiles based predominantly on routine structured EHR data. As such, use of our ML solution will not require additional data collection or documentation in the clinic.
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Affiliation(s)
- Levente Lippenszky
- Science and Technology Organization—Artificial Intelligence & Machine Learning, GE HealthCare, Budapest, Hungary/San Ramon, CA
| | | | - Zoltán Kiss
- Science and Technology Organization—Artificial Intelligence & Machine Learning, GE HealthCare, Budapest, Hungary/San Ramon, CA
| | - Michele L. LeNoue-Newton
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Pablo Napan-Molina
- Science and Technology Organization—Artificial Intelligence & Machine Learning, GE HealthCare, Budapest, Hungary/San Ramon, CA
| | - Protiva Rahman
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
- Health Outcomes and Biomedical Informatics, University of Florida, Tallahassee, FL
| | - Cheng Ye
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Balázs Laczi
- Science and Technology Organization—Artificial Intelligence & Machine Learning, GE HealthCare, Budapest, Hungary/San Ramon, CA
| | - Eszter Csernai
- Science and Technology Organization—Artificial Intelligence & Machine Learning, GE HealthCare, Budapest, Hungary/San Ramon, CA
| | - Neha M. Jain
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- OneOncology, Nashville, TN
| | - Marilyn E. Holt
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- Sarah Cannon Research Institute, Nashville, TN
| | - Christina N. Maxwell
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Madeleine Ball
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt University School of Medicine, Nashville, TN
| | - Yufang Ma
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- Department of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, TN
| | - Margaret B. Mitchell
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA
| | - Douglas B. Johnson
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - David S. Smith
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN
| | - Ben H. Park
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Christine M. Micheel
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Daniel Fabbri
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Jan Wolber
- Pharmaceutical Diagnostics, GE HealthCare, Chalfont St Giles, United Kingdom
| | - Travis J. Osterman
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
- Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
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19
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Poletto S, Paruzzo L, Nepote A, Caravelli D, Sangiolo D, Carnevale-Schianca F. Predictive Factors in Metastatic Melanoma Treated with Immune Checkpoint Inhibitors: From Clinical Practice to Future Perspective. Cancers (Basel) 2023; 16:101. [PMID: 38201531 PMCID: PMC10778365 DOI: 10.3390/cancers16010101] [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: 10/10/2023] [Revised: 12/11/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
The introduction of immunotherapy revolutionized the treatment landscape in metastatic melanoma. Despite the impressive results associated with immune checkpoint inhibitors (ICIs), only a portion of patients obtain a response to this treatment. In this scenario, the research of predictive factors is fundamental to identify patients who may have a response and to exclude patients with a low possibility to respond. These factors can be host-associated, immune system activation-related, and tumor-related. Patient-related factors can vary from data obtained by medical history (performance status, age, sex, body mass index, concomitant medications, and comorbidities) to analysis of the gut microbiome from fecal samples. Tumor-related factors can reflect tumor burden (metastatic sites, lactate dehydrogenase, C-reactive protein, and circulating tumor DNA) or can derive from the analysis of tumor samples (driver mutations, tumor-infiltrating lymphocytes, and myeloid cells). Biomarkers evaluating the immune system activation, such as IFN-gamma gene expression profile and analysis of circulating immune cell subsets, have emerged in recent years as significantly correlated with response to ICIs. In this manuscript, we critically reviewed the most updated literature data on the landscape of predictive factors in metastatic melanoma treated with ICIs. We focus on the principal limits and potentiality of different methods, shedding light on the more promising biomarkers.
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Affiliation(s)
- Stefano Poletto
- Department of Oncology, University of Turin, AOU S. Luigi Gonzaga, 10043 Orbassano, Italy;
| | - Luca Paruzzo
- Department of Oncology, University of Turin, 10124 Turin, Italy; (L.P.); (D.S.)
- Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alessandro Nepote
- Department of Oncology, University of Turin, AOU S. Luigi Gonzaga, 10043 Orbassano, Italy;
| | - Daniela Caravelli
- Medical Oncology Division, Candiolo Cancer Institute, FPO-IRCCs, 10060 Candiolo, Italy; (D.C.); (F.C.-S.)
| | - Dario Sangiolo
- Department of Oncology, University of Turin, 10124 Turin, Italy; (L.P.); (D.S.)
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20
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Schina A, Pedersen S, Spenning AL, Laursen OK, Pedersen C, Haslund CA, Schmidt H, Bastholt L, Svane IM, Ellebaek E, Donia M. Sustained improved survival of patients with metastatic melanoma after the introduction of anti-PD-1-based therapies. Eur J Cancer 2023; 195:113392. [PMID: 37924648 DOI: 10.1016/j.ejca.2023.113392] [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: 08/18/2023] [Revised: 10/12/2023] [Accepted: 10/16/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND The introduction of modern therapies improved the median survival of patients with metastatic melanoma (MM). Here, we determined the real-world impact of modern treatments on the long-term survival of MM. METHODS In a population-based study, we extracted all cases of MM diagnosed in four non-consecutive years marked by major changes in available 1st line treatments (2012, 2014, 2016, and 2018) from the Danish MM Database. Patients were grouped into "trial-like" and "trial-excluded" based on common trial eligibility criteria. RESULTS We observed a sustained improved survival of "trial-like" patients diagnosed in 2016 or in 2018, compared to 2012 or 2014, but no major differences in 2018 versus 2016. In contrast, while survival of "trial-excluded" patients in 2016 was better compared to 2014 and 2012, survival in 2018 was improved over all previous years. We then developed a prognostic model based on multivariable stratified Cox regression, to predict the survival of newly diagnosed MM patients. Internal validation showed excellent discrimination and calibration, with a time-area-under-the-curve above 0.79 at multiple time horizons, for up to four years after diagnosis. CONCLUSIONS The introduction of modern treatments such as anti-PD-1 has led to a sustained, improved survival of real-world patients with MM, regardless of their eligibility for clinical trials. We provide an updateable prognostic model that can be used to improve patient information. Overall, these data highlight a positive population-based impact of modern treatments and can help health technology assessment agencies worldwide to evaluate the appropriateness of drug pricing based on known cost-benefit data.
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Affiliation(s)
- Aimilia Schina
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Sidsel Pedersen
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | | | | | - Cecilia Pedersen
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Henrik Schmidt
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Lars Bastholt
- Department of Oncology, Odense University Hospital, Odense, Denmark
| | - Inge Marie Svane
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Eva Ellebaek
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark.
| | - Marco Donia
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark.
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21
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Cheng M, Zheng X, Wei J, Liu M. Current state and challenges of emerging biomarkers for immunotherapy in hepatocellular carcinoma (Review). Exp Ther Med 2023; 26:586. [PMID: 38023367 PMCID: PMC10665984 DOI: 10.3892/etm.2023.12285] [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: 03/22/2023] [Accepted: 08/29/2023] [Indexed: 12/01/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most prevalent form of primary liver cancer. According to the American Cancer Society, among patients diagnosed with advanced liver cancer, HCC has the sixth-highest incident rate, resulting in a poor prognosis. Surgery, radiofrequency ablation, transcatheter arterial chemoembolization, radiation, chemotherapy, targeted therapy and immunotherapy are the current treatment options available. Immunotherapy, which has emerged as an innovative treatment strategy over the past decade, is serving a vital role in the treatment of advanced liver cancer. Since only a small number of individuals can benefit from immunotherapy, biomarkers are required to help clinicians identify the target populations for this precision medicine. These biomarkers, such as PD-1/PD-L1, tumor mutational burden and circulating tumor DNA, can be used to investigate interactions between immune checkpoint inhibitors and tumors. The present review summarizes information on the currently available biomarkers used for immunotherapy and the challenges that are present.
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Affiliation(s)
- Mo Cheng
- Department of Medical Oncology, Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Xiufeng Zheng
- Department of Medical Oncology, Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Jing Wei
- Department of Medical Oncology, Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Ming Liu
- Department of Medical Oncology, Gastric Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P.R. China
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22
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Goldschmidt JH, Chou L, Chan PK, Chen L, Robert N, Kinsey J, Pitts K, Nestor M, Rock EP, Lazarus HM. Real-world outcomes of 18,186 metastatic solid tumor outpatients: Baseline blood cell counts correlate with survival after immune checkpoint inhibitor therapy. Cancer Med 2023; 12:20783-20797. [PMID: 37962239 PMCID: PMC10709745 DOI: 10.1002/cam4.6645] [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: 04/18/2023] [Revised: 09/27/2023] [Accepted: 10/16/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Patient survival in advanced/metastatic melanoma, non-small cell lung cancer (NSCLC), and renal cell carcinoma (RCC) has improved with immune checkpoint inhibitors (ICI). Biomarkers' role in prognosis and treatment has been limited by conflicting trial results. METHODS This retrospective, observational study analyzed baseline demographic, clinical, laboratory, and treatment data versus outcomes of The US Oncology Network adult outpatients. Patients with advanced/metastatic melanoma, NSCLC, or RCC treated between January 1, 2015 and November 30, 2020 were given ICI monotherapy or combination therapy with ipilimumab, pembrolizumab, nivolumab, or atezolizumab. Treatment outcomes (overall survival [OS], time to treatment discontinuation, time to next treatment) were followed longitudinally until May 31, 2021, last patient record, or date of death. Baseline blood cell counts, including absolute monocyte count (AMC), absolute lymphocyte count (ALC), monocyte-to-lymphocyte ratio (MLR), absolute neutrophil count (ANC), and eosinophil count, were subdivided into quintiles for univariate and multivariable Cox regression analyses. RESULTS Data from 18,186 patients with advanced/metastatic melanoma (n = 3314), NSCLC (n = 12,416), and RCC (n = 2456) were analyzed. Better OS correlated with increased baseline serum albumin concentration, increased eosinophil and lymphocyte counts, and Western United States physician practice location. Decreased OS correlated with increased AMC, MLR, ANC, age, and worse Eastern Cooperative Oncology Group performance status. CONCLUSIONS To our knowledge, this study is the largest to date to associate baseline survival indicators and outcomes in outpatients with advanced/metastatic melanoma, NSCLC, or RCC and receiving ICIs. Results may inform disease-specific prognostic models and help providers identify patients most likely to benefit from ICI therapy.
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Affiliation(s)
| | | | | | | | | | - Joyce Kinsey
- Partner Therapeutics, IncLexingtonMassachusettsUSA
| | | | - Matt Nestor
- Partner Therapeutics, IncLexingtonMassachusettsUSA
| | | | - Hillard M. Lazarus
- Department of Medicine, Division of Hematology and OncologyCase Western Reserve UniversityClevelandOhioUSA
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23
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Bai X, Shaheen A, Grieco C, d’Arienzo PD, Mina F, Czapla JA, Lawless AR, Bongiovanni E, Santaniello U, Zappi H, Dulak D, Williamson A, Lee R, Gupta A, Li C, Si L, Ubaldi M, Yamazaki N, Ogata D, Johnson R, Park BC, Jung S, Madonna G, Hochherz J, Umeda Y, Nakamura Y, Gebhardt C, Festino L, Capone M, Ascierto PA, Johnson DB, Lo SN, Long GV, Menzies AM, Namikawa K, Mandala M, Guo J, Lorigan P, Najjar YG, Haydon A, Quaglino P, Boland GM, Sullivan RJ, Furness AJ, Plummer R, Flaherty KT. Dabrafenib plus trametinib versus anti-PD-1 monotherapy as adjuvant therapy in BRAF V600-mutant stage III melanoma after definitive surgery: a multicenter, retrospective cohort study. EClinicalMedicine 2023; 65:102290. [PMID: 37965433 PMCID: PMC10641479 DOI: 10.1016/j.eclinm.2023.102290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 10/10/2023] [Accepted: 10/11/2023] [Indexed: 11/16/2023] Open
Abstract
Background Both dabrafenib/trametinib (D/T) and anti-PD-1 monotherapy (PD-1) are approved adjuvant therapies for patients with stage III BRAF V600-mutant melanoma. However, there is still a lack of head-to-head comparative data. We aimed to describe efficacy and toxicity outcomes for these two standard therapies across melanoma centers. Methods This multicenter, retrospective cohort study was conducted in 15 melanoma centers in Australia, China, Germany, Italy, Japan, UK, and US. We included adult patients with resected stage III BRAF V600-mutant melanoma who received either adjuvant D/T or PD-1 between Jul 2015 and Oct 2022. The primary endpoint was relapse-free survival (RFS). Secondary endpoints included overall survival (OS), recurrence pattern and toxicity. Findings We included 598 patients with stage III BRAF V600-mutant melanoma who received either adjuvant D/T (n = 393 [66%]) or PD-1 (n = 205 [34%]) post definitive surgery between Jul 2015 and Oct 2022. At a median follow-up of 33 months (IQR 21-43), the median RFS was 51.0 months (95% CI 41.0-not reached [NR]) in the D/T group, significantly longer than PD-1 (44.8 months [95% CI 28.5-NR]) (univariate: HR 0.66, 95% CI 0.50-0.87, P = 0.003; multivariate: HR 0.58, 95% CI 0.39-0.86, P = 0.007), with comparable OS with PD-1 (multivariate, HR 0.90, 95% CI 0.48-1.70, P = 0.75). Similar findings were observed using a restricted-mean-survival-time model. Among those who experienced recurrence, the proportion of distant metastases was higher in the D/T cohort. D/T had a higher incidence of treatment modification due to adverse events (AEs) than PD-1, but fewer persistent AEs. Interpretation In patients with stage III BRAF V600-mutant melanoma post definitive surgery, D/T yielded better RFS than PD-1, with higher transient but lower persistent toxicity, and comparable OS. D/T seems to provide a better outcome compared with PD-1, but a longer follow-up and ideally a large prospective trial are needed. Funding Dr. Xue Bai was supported by the Beijing Hospitals Authority Youth Programme (QMS20211101) for her efforts devoted to this study. Dr. Keith T. Flaherty was funded by Adelson Medical Research Foundation for the efforts devoted to this study.
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Affiliation(s)
- Xue Bai
- Department of Melanoma and Sarcoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
- Massachusetts General Hospital, USA
| | | | | | | | - Florentia Mina
- Skin Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | | | | | - Eleonora Bongiovanni
- Dermatologic Clinic, Department of Medical Sciences, University of Turin Medical School, Italy
| | - Umberto Santaniello
- Dermatologic Clinic, Department of Medical Sciences, University of Turin Medical School, Italy
| | | | - Dominika Dulak
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | | | - Rebecca Lee
- Division of Cancer Sciences, University of Manchester and Christie NHS Foundation Trust, Manchester, UK
| | | | - Caili Li
- Department of Melanoma and Sarcoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Lu Si
- Department of Melanoma and Sarcoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | | | - Naoya Yamazaki
- Department of Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Dai Ogata
- Department of Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Rebecca Johnson
- Melanoma Institute Australia, The University of Sydney; Faculty of Medicine and Health, The University of Sydney; Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Benjamin C. Park
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Seungyeon Jung
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gabriele Madonna
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics - Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy
| | - Juliane Hochherz
- Department of Dermatology, University Skin Cancer Center, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Yoshiyasu Umeda
- Department of Skin Oncology/Dermatology, Comprehensive Cancer Center, Saitama Medical University International Medical Center, Saitama, Japan
| | - Yasuhiro Nakamura
- Department of Skin Oncology/Dermatology, Comprehensive Cancer Center, Saitama Medical University International Medical Center, Saitama, Japan
| | - Christoffer Gebhardt
- Department of Dermatology, University Skin Cancer Center, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Lucia Festino
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics - Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy
| | - Mariaelena Capone
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics - Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy
| | - Paolo Antonio Ascierto
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics - Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Napoli, Italy
| | - Douglas B. Johnson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Serigne N. Lo
- Melanoma Institute Australia, The University of Sydney, North Sydney, NSW, Australia
| | - Georgina V. Long
- Melanoma Institute Australia, The University of Sydney; Faculty of Medicine and Health, The University of Sydney; Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Alexander M. Menzies
- Melanoma Institute Australia, The University of Sydney; Faculty of Medicine and Health, The University of Sydney; Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Kenjiro Namikawa
- Department of Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | | | - Jun Guo
- Department of Melanoma and Sarcoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Paul Lorigan
- Division of Cancer Sciences, University of Manchester and Christie NHS Foundation Trust, Manchester, UK
| | | | | | - Pietro Quaglino
- Dermatologic Clinic, Department of Medical Sciences, University of Turin Medical School, Italy
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Rugambwa TK, Abdihamid O, Zhang X, Peng Y, Cai C, Shen H, Zeng S, Qiu W. Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio as potential predictive markers of treatment response in cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis. Front Oncol 2023; 13:1181248. [PMID: 38023176 PMCID: PMC10646751 DOI: 10.3389/fonc.2023.1181248] [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: 03/07/2023] [Accepted: 09/26/2023] [Indexed: 12/01/2023] Open
Abstract
Background The role of platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR) as independent prognostic markers in different tumors is well established. However, there is a limited review of the potential of NLR and PLR as predictors of treatment outcomes from immune checkpoint inhibitors (ICIs). Objective To establish a correlation between NLR and PLR and the potential of clinical benefit from ICIs. Methods The literature search was performed for studies that reported the association between NLR, PLR, and treatment outcomes among cancer patients treated with ICIs. The outcomes of interest were objective response rate (ORR), disease control rate (DCR), and progressive disease (PD). ORR was the summation of patients who achieved complete response and partial response. DCR included patients who achieved stable disease. PD was the proportion of patients who progressed, relapsed, or discontinued the treatment. Statistical analysis was performed using the STATA 12.0 package. Heterogeneity was determined by the I2 value. Quality assessment was performed using the Newcastle-Ottawa Scale. Egger's test was used to establish publication bias and sensitivity analysis. Results A total of 40 papers that met the inclusion criteria were included in the systematic review. However, only 17 studies were used in the meta-analysis to determine the correlation between NLR, PLR, and treatment response. We found that treatment with ICIs and monitoring of outcomes and adverse events using PLR and NLR parameters have been studied in different tumors. Our analysis showed that low NLR correlated with higher ORR (OR = 0.62 (95% CI 0.47-0.81, p = 0.001) and higher DCR (OR = 0.23, 95% CI 0.14-0.36, p < 0.001). Higher NLR predicted a higher probability of PD (OR = 3.12, 95% CI 1.44, 6.77, p = 0.004). Similarly, low PLR correlated with higher ORR (OR = 0.69, 95% CI 0.5, 0.95, p = 0.025). Generally, patients with low NLR and PLR were more likely to achieve clinical benefit and better response (p-value < 0.001). Meanwhile, patients with high ratios were more likely to progress (p-value < 0.005), although there was significant heterogeneity among studies. There was no significant publication bias observed. Conclusion The study showed that high NLR and PLR either at baseline or during treatment is associated with poorer treatment outcome. Therefore, these ratios can be utilized in clinical practice with other markers to determine treatment efficacy from immunotherapy.
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Affiliation(s)
- Tibera K. Rugambwa
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Internal Medicine, Mbeya Zonal Referral Hospital and Mbeya College of Health and Allied Sciences, University of Dar-es-salaam, Mbeya, Tanzania
| | - Omar Abdihamid
- Garissa Cancer Center, Garissa County Referral Hospital, Garissa, Kenya
| | - Xiangyang Zhang
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yinghui Peng
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Changjing Cai
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hong Shen
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Shan Zeng
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wei Qiu
- Department of Oncology, The First People's Hospital of Loudi, Loudi, Hunan, China
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Conway JW, Braden J, Lo SN, Scolyer RA, Carlino MS, Menzies AM, Long GV, da Silva IP. VEGF Inhibitors Improve Survival Outcomes in Patients with Liver Metastases across Cancer Types-A Meta-Analysis. Cancers (Basel) 2023; 15:5012. [PMID: 37894379 PMCID: PMC10605052 DOI: 10.3390/cancers15205012] [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: 09/01/2023] [Revised: 09/26/2023] [Accepted: 10/11/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Liver metastases are associated with poor prognosis across cancers. Novel treatment strategies to treat patients with liver metastases are needed. This meta-analysis aimed to assess the efficacy of vascular endothelial growth factor inhibitors in patients with liver metastases across cancers. METHODS A systematic search of PubMed, Cochrane CENTRAL, and Embase was performed between January 2000 and April 2023. Randomized controlled trials of patients with liver metastases comparing standard of care (systemic therapy or best supportive care) with or without vascular endothelial growth factor inhibitors were included in the study. Outcomes reported included progression-free survival and overall survival. RESULTS A total of 4445 patients with liver metastases from 25 randomized controlled trials were included in this analysis. The addition of vascular endothelial growth factor inhibitors to standard systemic therapy or best supportive care was associated with superior progression-free survival (HR = 0.49; 95% CI, 0.40-0.61) and overall survival (HR = 0.83; 95% CI, 0.74-0.93) in patients with liver metastases. In a subgroup analysis of patients with versus patients without liver metastases, the benefit with vascular endothelial growth factor inhibitors was more pronounced in the group with liver metastases (HR = 0.44) versus without (HR = 0.57) for progression-free survival, but not for overall survival. CONCLUSION The addition of vascular endothelial growth factor inhibitors to standard management improved survival outcomes in patients with liver metastasis across cancers.
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Affiliation(s)
- Jordan W. Conway
- Melanoma Institute Australia, The University of Sydney, 40 Rocklands Rd, North Sydney, NSW 2065, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia
| | - Jorja Braden
- Melanoma Institute Australia, The University of Sydney, 40 Rocklands Rd, North Sydney, NSW 2065, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia
| | - Serigne N. Lo
- Melanoma Institute Australia, The University of Sydney, 40 Rocklands Rd, North Sydney, NSW 2065, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
| | - Richard A. Scolyer
- Melanoma Institute Australia, The University of Sydney, 40 Rocklands Rd, North Sydney, NSW 2065, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Royal Prince Alfred Hospital, Sydney, NSW 2050, Australia
- NSW Health Pathology, Sydney, NSW 2099, Australia
| | - Matteo S. Carlino
- Melanoma Institute Australia, The University of Sydney, 40 Rocklands Rd, North Sydney, NSW 2065, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Crown Princess Mary Cancer Centre, Westmead and Blacktown Hospitals, Sydney, NSW 2148, Australia
| | - Alexander M. Menzies
- Melanoma Institute Australia, The University of Sydney, 40 Rocklands Rd, North Sydney, NSW 2065, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Royal North Shore Hospital, Sydney, NSW 2065, Australia
- Mater Hospital, Sydney, NSW 2060, Australia
| | - Georgina V. Long
- Melanoma Institute Australia, The University of Sydney, 40 Rocklands Rd, North Sydney, NSW 2065, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Royal North Shore Hospital, Sydney, NSW 2065, Australia
- Mater Hospital, Sydney, NSW 2060, Australia
| | - Ines Pires da Silva
- Melanoma Institute Australia, The University of Sydney, 40 Rocklands Rd, North Sydney, NSW 2065, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW 2050, Australia
- Crown Princess Mary Cancer Centre, Westmead and Blacktown Hospitals, Sydney, NSW 2148, Australia
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26
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Placke JM, Kimmig M, Griewank K, Herbst R, Terheyden P, Utikal J, Pföhler C, Ulrich J, Kreuter A, Mohr P, Gutzmer R, Meier F, Dippel E, Welzel J, Engel DR, Kreft S, Sucker A, Lodde G, Krefting F, Stoffels I, Klode J, Roesch A, Zimmer L, Livingstone E, Hadaschik E, Becker JC, Weichenthal M, Tasdogan A, Schadendorf D, Ugurel S. Correlation of tumor PD-L1 expression in different tissue types and outcome of PD-1-based immunotherapy in metastatic melanoma - analysis of the DeCOG prospective multicenter cohort study ADOREG/TRIM. EBioMedicine 2023; 96:104774. [PMID: 37660535 PMCID: PMC10483509 DOI: 10.1016/j.ebiom.2023.104774] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/10/2023] [Accepted: 08/10/2023] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND PD-1-based immune checkpoint inhibition (ICI) is the major backbone of current melanoma therapy. Tumor PD-L1 expression represents one of few biomarkers predicting ICI therapy outcome. The objective of the present study was to systematically investigate whether the type of tumor tissue examined for PD-L1 expression has an impact on the correlation with ICI therapy outcome. METHODS Pre-treatment tumor tissue was collected within the prospective DeCOG cohort study ADOREG/TRIM (CA209-578; NCT05750511) between February 2014 and May 2020 from 448 consecutive patients who received PD-1-based ICI for non-resectable metastatic melanoma. The primary study endpoint was best overall response (BOR), secondary endpoints were progression-free (PFS) and overall survival (OS). All endpoints were correlated with tumor PD-L1 expression (quantified with clone 28-8; cutoff ≥5%) and stratified by tissue type. FINDINGS Tumor PD-L1 was determined in 95 primary tumors (PT; 36.8% positivity), 153 skin/subcutaneous (34.0% positivity), 115 lymph node (LN; 50.4% positivity), and 85 organ (40.8% positivity) metastases. Tumor PD-L1 correlated with BOR if determined in LN (OR = 0.319; 95% CI = 0.138-0.762; P = 0.010), but not in skin/subcutaneous metastases (OR = 0.656; 95% CI = 0.311-1.341; P = 0.26). PD-L1 positivity determined on LN metastases was associated with favorable survival (PFS, HR = 0.490; 95% CI = 0.310-0.775; P = 0.002; OS, HR = 0.519; 95% CI = 0.307-0.880; P = 0.014). PD-L1 positivity determined in PT (PFS, HR = 0.757; 95% CI = 0.467-1.226; P = 0.27; OS; HR = 0.528; 95% CI = 0.305-0.913; P = 0.032) was correlated with survival to a lesser extent. No relevant survival differences were detected by PD-L1 determined in skin/subcutaneous metastases (PFS, HR = 0.825; 95% CI = 0.555-1.226; P = 0.35; OS, HR = 1.083; 95% CI = 0.698-1.681; P = 0.72). INTERPRETATION For PD-1-based immunotherapy in melanoma, tumor PD-L1 determined in LN metastases was stronger correlated with therapy outcome than that assessed in PT or organ metastases. PD-L1 determined in skin/subcutaneous metastases showed no outcome correlation and therefore should be used with caution for clinical decision making. FUNDING Bristol-Myers Squibb (ADOREG/TRIM, NCT05750511); German Research Foundation (DFG; Clinician Scientist Program UMEA); Else Kröner-Fresenius-Stiftung (EKFS; Medical Scientist Academy UMESciA).
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Affiliation(s)
- Jan-Malte Placke
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Mona Kimmig
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Klaus Griewank
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | | | | | - Jochen Utikal
- Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg, Mannheim, Germany; DKFZ Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany.
| | - Claudia Pföhler
- Department of Dermatology, Saarland University Medical School, Homburg/Saar, Germany.
| | - Jens Ulrich
- Skin Cancer Center, Department of Dermatology, Harz Clinics, Quedlinburg, Germany.
| | - Alexander Kreuter
- Department of Dermatology, Venereology and Allergology, Helios St. Elisabeth Klinik Oberhausen, University Witten-Herdecke, Oberhausen, Germany.
| | - Peter Mohr
- Department of Dermatology, Elbe Kliniken Buxtehude, Buxtehude, Germany.
| | - Ralf Gutzmer
- Department of Dermatology, Skin Cancer Center Minden, Minden, Germany.
| | - Friedegund Meier
- Department of Dermatology, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany.
| | - Edgar Dippel
- Department of Dermatology, Ludwigshafen Medical Center, Ludwigshafen, Germany.
| | - Julia Welzel
- Department of Dermatology, Augsburg Medical Center, Augsburg, Germany.
| | - Daniel Robert Engel
- Department of Immunodynamics, Institute for Experimental Immunology and Imaging, Medical Research Centre, University Hospital Essen, Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Sophia Kreft
- Department of Dermatology, Venereology and Allergology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany.
| | - Antje Sucker
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Georg Lodde
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Frederik Krefting
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Ingo Stoffels
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Joachim Klode
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Alexander Roesch
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Lisa Zimmer
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Elisabeth Livingstone
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Eva Hadaschik
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Jürgen C Becker
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; Translational Skin Cancer Research, West German Cancer Center, University Medicine Essen, Essen, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Michael Weichenthal
- Department of Dermatology, University Hospital of Schleswig-Holstein, Kiel, Germany.
| | - Alpaslan Tasdogan
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Selma Ugurel
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
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Adegoke NA, Gide TN, Mao Y, Quek C, Patrick E, Carlino MS, Lo SN, Menzies AM, Pires da Silva I, Vergara IA, Long G, Scolyer RA, Wilmott JS. Classification of the tumor immune microenvironment and associations with outcomes in patients with metastatic melanoma treated with immunotherapies. J Immunother Cancer 2023; 11:e007144. [PMID: 37865395 PMCID: PMC10603328 DOI: 10.1136/jitc-2023-007144] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2023] [Indexed: 10/23/2023] Open
Abstract
BACKGROUND Tumor microenvironment (TME) characteristics are potential biomarkers of response to immune checkpoint inhibitors in metastatic melanoma. This study developed a method to perform unsupervised classification of TME of metastatic melanoma. METHODS We used multiplex immunohistochemical and quantitative pathology-derived assessment of immune cell compositions of intratumoral and peritumoral regions of metastatic melanoma baseline biopsies to classify TME in relation to response to anti-programmed cell death protein 1 (PD-1) monotherapy or in combination with anti-cytotoxic T-cell lymphocyte-4 (ipilimumab (IPI)+PD-1). RESULTS Spatial profiling of CD8+T cells, macrophages, and melanoma cells, as well as phenotypic PD-1 receptor ligand (PD-L1) and CD16 proportions, were used to identify and classify patients into one of three mutually exclusive TME classes: immune-scarce, immune-intermediate, and immune-rich tumors. Patients with immune-rich tumors were characterized by a lower proportion of melanoma cells and higher proportions of immune cells, including higher PD-L1 expression. These patients had higher response rates and longer progression-free survival (PFS) than those with immune-intermediate and immune-scarce tumors. At a median follow-up of 18 months (95% CI: 6.7 to 49 months), the 1-year PFS was 76% (95% CI: 64% to 90%) for patients with an immune-rich tumor, 56% (95% CI: 44% to 72%) for those with an immune-intermediate tumor, and 33% (95% CI: 23% to 47%) for patients with an immune-scarce tumor. A higher response rate was observed in patients with an immune-scarce or immune-intermediate tumor when treated with IPI+PD-1 compared with those treated with PD-1 alone. CONCLUSIONS Our study provides an automatic TME classification method that may predict the clinical efficacy of immunotherapy for patients with metastatic melanoma.
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Affiliation(s)
- Nurudeen A Adegoke
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Tuba N Gide
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Yizhe Mao
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Camelia Quek
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Ellis Patrick
- Centre for Cancer Research, Westmead Institute for Medical Research, Westmead, New South Wales, Australia
- School of Mathematics and Statistics, The University of Sydney, Sydney, New South Wales, Australia
| | - Matteo S Carlino
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Westmead and Blacktown Hospitals, Sydney, New South Wales, Australia
| | - Serigne N Lo
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Alexander Maxwell Menzies
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Royal North Shore and Mater Hospitals, Sydney, New South Wales, Australia
| | - Ines Pires da Silva
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Westmead and Blacktown Hospitals, Sydney, New South Wales, Australia
| | - Ismael A Vergara
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Georgina Long
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Royal North Shore and Mater Hospitals, Sydney, New South Wales, Australia
| | - Richard A Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Department of Tissue Oncology and Diagnostic Pathology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, New South Wales, Australia
| | - James S Wilmott
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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Stukalin I, Navani V, Gupta M, Ruan Y, Boyne DJ, O’Sullivan DE, Meyers DE, Goutam S, Sander M, Ewanchuk BW, Brenner DR, Suo A, Cheung WY, Heng DYC, Monzon JG, Cheng T. Development and Validation of a Prognostic Risk Model for Patients with Advanced Melanoma Treated with Immune Checkpoint Inhibitors. Oncologist 2023; 28:812-822. [PMID: 37011230 PMCID: PMC10485285 DOI: 10.1093/oncolo/oyad073] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 02/08/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Risk stratification tools for patients with advanced melanoma (AM) treated with immune checkpoint inhibitors (ICI) are lacking. We identified a new prognostic model associated with overall survival (OS). PATIENTS AND METHODS A total of 318 treatment naïve patients with AM receiving ICI were collected from a multi-centre retrospective cohort study. LASSO Cox regression identified independent prognostic factors associated with OS. Model validation was carried out on 500 iterations of bootstrapped samples. Harrel's C-index was calculated and internally validated to outline the model's discriminatory performance. External validation was carried out in 142 advanced melanoma patients receiving ICI in later lines. RESULTS High white blood cell count (WBC), high lactate dehydrogenase (LDH), low albumin, Eastern Cooperative Oncology Group (ECOG) performance status ≥1, and the presence of liver metastases were included in the model. Patients were parsed into 3 risk groups: favorable (0-1 factors) OS of 52.9 months, intermediate (2-3 factors) OS 13.0 months, and poor (≥4 factors) OS 2.7 months. The C-index of the model from the discovery cohort was 0.69. External validation in later-lines (N = 142) of therapy demonstrated a c-index of 0.65. CONCLUSIONS Liver metastases, low albumin, high LDH, high WBC, and ECOG≥1 can be combined into a prognostic model for AM patients treated with ICI.
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Affiliation(s)
- Igor Stukalin
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Vishal Navani
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Mehul Gupta
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Yibing Ruan
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Devon J Boyne
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Dylan E O’Sullivan
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Daniel E Meyers
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Siddhartha Goutam
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Michael Sander
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Benjamin W Ewanchuk
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Darren R Brenner
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Aleksi Suo
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Winson Y Cheung
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Daniel Y C Heng
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Jose G Monzon
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
| | - Tina Cheng
- Department of Oncology, Division of Medical Oncology, Tom Baker Cancer Centre, Calgary, AB, Canada
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Goodman RS, Jung S, Balko JM, Johnson DB. Biomarkers of immune checkpoint inhibitor response and toxicity: Challenges and opportunities. Immunol Rev 2023; 318:157-166. [PMID: 37470280 PMCID: PMC10528475 DOI: 10.1111/imr.13249] [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: 03/22/2023] [Accepted: 06/28/2023] [Indexed: 07/21/2023]
Abstract
Immune checkpoint inhibitors have transformed cancer therapy, but their optimal use is still constrained by lack of response and toxicity. Biomarkers of response may facilitate drug development by allowing appropriate therapy selection and focusing clinical trial enrollment. However, aside from PD-L1 staining in a subset of tumors and rarely mismatch repair deficiency, no biomarkers are routinely used in the clinic. In addition, severe toxicities may cause severe morbidity, therapy discontinuation, and even death. Here, we review the state of the field with a focus on our research in therapeutic biomarkers and toxicities from immune checkpoint inhibitors.
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Affiliation(s)
| | - Seungyeon Jung
- Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Justin M. Balko
- Department of Medicine, Department of Cancer Biology, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Douglas B. Johnson
- Department of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, Tennessee
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Long GV, Swetter SM, Menzies AM, Gershenwald JE, Scolyer RA. Cutaneous melanoma. Lancet 2023:S0140-6736(23)00821-8. [PMID: 37499671 DOI: 10.1016/s0140-6736(23)00821-8] [Citation(s) in RCA: 125] [Impact Index Per Article: 125.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/17/2023] [Accepted: 04/19/2023] [Indexed: 07/29/2023]
Abstract
Cutaneous melanoma is a malignancy arising from melanocytes of the skin. Incidence rates are rising, particularly in White populations. Cutaneous melanoma is typically driven by exposure to ultraviolet radiation from natural sunlight and indoor tanning, although there are several subtypes that are not related to ultraviolet radiation exposure. Primary melanomas are often darkly pigmented, but can be amelanotic, with diagnosis based on a combination of clinical and histopathological findings. Primary melanoma is treated with wide excision, with margins determined by tumour thickness. Further treatment depends on the disease stage (following histopathological examination and, where appropriate, sentinel lymph node biopsy) and can include surgery, checkpoint immunotherapy, targeted therapy, or radiotherapy. Systemic drug therapies are recommended as an adjunct to surgery in patients with resectable locoregional metastases and are the mainstay of treatment in advanced melanoma. Management of advanced melanoma is complex, particularly in those with cerebral metastasis. Multidisciplinary care is essential. Systemic drug therapies, particularly immune checkpoint inhibitors, have substantially increased melanoma survival following a series of landmark approvals from 2011 onward.
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Affiliation(s)
- Georgina V Long
- Melanoma Institute Australia, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia; Department of Medical Oncology, Mater Hospital, Sydney, NSW, Australia.
| | - Susan M Swetter
- Department of Dermatology and Pigmented Lesion and Melanoma Program, Stanford University Medical Center and Cancer Institute, Stanford, CA, USA; Department of Dermatology, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Alexander M Menzies
- Melanoma Institute Australia, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW, Australia; Department of Medical Oncology, Mater Hospital, Sydney, NSW, Australia
| | - Jeffrey E Gershenwald
- Department of Surgical Oncology and Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Richard A Scolyer
- Melanoma Institute Australia, Sydney, NSW, Australia; Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia; Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; NSW Health Pathology, Sydney, NSW, Australia
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Ahmad A, Khan P, Rehman AU, Batra SK, Nasser MW. Immunotherapy: an emerging modality to checkmate brain metastasis. Mol Cancer 2023; 22:111. [PMID: 37454123 PMCID: PMC10349473 DOI: 10.1186/s12943-023-01818-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023] Open
Abstract
The diagnosis of brain metastasis (BrM) has historically been a dooming diagnosis that is nothing less than a death sentence, with few treatment options for palliation or prolonging life. Among the few treatment options available, brain radiotherapy (RT) and surgical resection have been the backbone of therapy. Within the past couple of years, immunotherapy (IT), alone and in combination with traditional treatments, has emerged as a reckoning force to combat the spread of BrM and shrink tumor burden. This review compiles recent reports describing the potential role of IT in the treatment of BrM in various cancers. It also examines the impact of the tumor microenvironment of BrM on regulating the spread of cancer and the role IT can play in mitigating that spread. Lastly, this review also focuses on the future of IT and new clinical trials pushing the boundaries of IT in BrM.
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Affiliation(s)
- Aatiya Ahmad
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Parvez Khan
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Asad Ur Rehman
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Surinder Kumar Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Mohd Wasim Nasser
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA.
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
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Rozeman EA, Versluis JM, Sikorska K, Hoefsmit EP, Dimitriadis P, Rao D, Lacroix R, Grijpink-Ongering LG, Lopez-Yurda M, Heeres BC, van de Wiel BA, Flohil C, Sari A, Heijmink SWTPJ, van den Broek D, Broeks A, de Groot JWB, Vollebergh MA, Wilgenhof S, van Thienen JV, Haanen JBAG, Blank CU. IMPemBra: a phase 2 study comparing pembrolizumab with intermittent/short-term dual MAPK pathway inhibition plus pembrolizumab in patients with melanoma harboring the BRAFV600 mutation. J Immunother Cancer 2023; 11:e006821. [PMID: 37479483 PMCID: PMC10364170 DOI: 10.1136/jitc-2023-006821] [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] [Accepted: 06/18/2023] [Indexed: 07/23/2023] Open
Abstract
BACKGROUND Continuous combination of MAPK pathway inhibition (MAPKi) and anti-programmed death-(ligand) 1 (PD-(L)1) showed high response rates, but only limited improvement in progression-free survival (PFS) at the cost of a high frequency of treatment-related adverse events (TRAE) in patients with BRAFV600-mutated melanoma. Short-term MAPKi induces T-cell infiltration in patients and is synergistic with anti-programmed death-1 (PD-1) in a preclinical melanoma mouse model. The aim of this phase 2b trial was to identify an optimal regimen of short-term MAPKi with dabrafenib plus trametinib in combination with pembrolizumab. METHODS Patients with treatment-naïve BRAFV600E/K-mutant advanced melanoma started pembrolizumab 200 mg every 3 weeks. In week 6, patients were randomized to continue pembrolizumab only (cohort 1), or to receive, in addition, intermittent dabrafenib 150 mg two times per day plus trametinib 2 mg one time per day for two cycles of 1 week (cohort 2), two cycles of 2 weeks (cohort 3), or continuously for 6 weeks (cohort 4). All cohorts continued pembrolizumab for up to 2 years. Primary endpoints were safety and treatment-adherence. Secondary endpoints were objective response rate (ORR) at week 6, 12, 18 and PFS. RESULTS Between June 2016 and August 2018, 33 patients with advanced melanoma have been included and 32 were randomized. Grade 3-4 TRAE were observed in 12%, 12%, 50%, and 63% of patients in cohort 1, 2, 3, and 4, respectively. All planned targeted therapy was given in 88%, 63%, and 38% of patients in cohort 2, 3, and 4. ORR at week 6, 12, and 18 were 38%, 63%, and 63% in cohort 1; 25%, 63%, and 75% in cohort 2; 25%, 50%, and 75% in cohort 3; and 0%, 63%, and 50% in cohort 4. After a median follow-up of 43.5 months, median PFS was 10.6 months for pembrolizumab monotherapy and not reached for patients treated with pembrolizumab and intermittent dabrafenib and trametinib (p=0.17). The 2-year and 3-year landmark PFS were both 25% for cohort 1, both 63% for cohort 2, 50% and 38% for cohort 3 and 75% and 60% for cohort 4. CONCLUSIONS The combination of pembrolizumab plus intermittent dabrafenib and trametinib seems more feasible and tolerable than continuous triple therapy. The efficacy is promising and appears to be favorable over pembrolizumab monotherapy. TRIAL REGISTRATION NUMBER NCT02625337.
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Affiliation(s)
- Elisa A Rozeman
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Judith M Versluis
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Karolina Sikorska
- Department of Biometrics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Esmée P Hoefsmit
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Petros Dimitriadis
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Disha Rao
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ruben Lacroix
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Marta Lopez-Yurda
- Department of Biometrics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Birthe C Heeres
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Bart A van de Wiel
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Claudie Flohil
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Aysegul Sari
- Department of Biometrics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Daan van den Broek
- Department of Laboratory Medicine, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Annegien Broeks
- Core Facility and Biobanking, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Marieke A Vollebergh
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Sofie Wilgenhof
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Johannes V van Thienen
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - John B A G Haanen
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Christian U Blank
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Medical Oncology, Leiden University Medical center, Leiden, The Netherlands
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Zhang T, Forde PM, Sullivan RJ, Sharon E, Barksdale E, Selig W, Ebbinghaus S, Fusaro G, Gunenc D, Battle D, Burns R, Hurlbert MS, Stewart M, Atkins MB. Addressing resistance to PD-1/PD-(L)1 pathway inhibition: considerations for combinatorial clinical trial designs. J Immunother Cancer 2023; 11:e006555. [PMID: 37137552 PMCID: PMC10163527 DOI: 10.1136/jitc-2022-006555] [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] [Accepted: 03/23/2023] [Indexed: 05/05/2023] Open
Abstract
With multiple PD-(L)1 inhibitors approved across dozens of indications by the US Food and Drug Administration, the number of patients exposed to these agents in adjuvant, first-line metastatic, second-line metastatic, and refractory treatment settings is increasing rapidly. Although some patients will experience durable benefit, many have either no clinical response or see their disease progress following an initial response to therapy. There is a significant need to identify therapeutic approaches to overcome resistance and confer clinical benefits for these patients. PD-1 pathway blockade has the longest history of use in melanoma, non-small cell lung cancer (NSCLC), and renal cell carcinoma (RCC). Therefore, these settings also have the most extensive clinical experience with resistance. In 2021, six non-profit organizations representing patients with these diseases undertook a year-long effort, culminating in a 2-day workshop (including academic, industry, and regulatory participants) to understand the challenges associated with developing effective therapies for patients previously exposed to anti-PD-(L)1 agents and outline recommendations for designing clinical trials in this setting. This manuscript presents key discussion themes and positions reached through this effort, with a specific focus on the topics of eligibility criteria, comparators, and endpoints, as well as tumor-specific trial design options for combination therapies designed to treat patients with melanoma, NSCLC, or RCC after prior PD-(L)1 pathway blockade.
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Affiliation(s)
- Tian Zhang
- Department of Internal Medicine, Division of Hematology and Oncology, UT Southwestern, Dallas, Texas, USA
| | - Patrick M Forde
- Johns Hopkins Kimmel Cancer Center, Baltimore, Maryland, USA
| | - Ryan J Sullivan
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts, USA
| | - Elad Sharon
- Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, Maryland, USA
| | | | | | | | - Gina Fusaro
- Bristol-Myers Squibb Co Summit, Summit, New Jersey, USA
| | - Damla Gunenc
- Department of Internal Medicine, Division of Hematology and Oncology, UT Southwestern, Dallas, Texas, USA
| | - Dena Battle
- Kidney Cancer Research Alliance, Alexandria, Virginia, USA
| | - Robyn Burns
- Melanoma Research Foundation, Washington, District of Columbia, USA
| | - Marc S Hurlbert
- Melanoma Research Alliance, Washington, District of Columbia, USA
| | - Mark Stewart
- Friends of Cancer Research, Washington, District of Columbia, USA
| | - Michael B Atkins
- Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia, USA
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Long GV, Menzies AM, Scolyer RA. Neoadjuvant Checkpoint Immunotherapy and Melanoma: The Time Is Now. J Clin Oncol 2023:JCO2202575. [PMID: 37104746 DOI: 10.1200/jco.22.02575] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023] Open
Abstract
The role of neoadjuvant therapy is undergoing an historic shift in oncology. The emergence of potent immunostimulatory anticancer agents has transformed neoadjuvant therapy from a useful tool in minimizing surgical morbidity to a life-saving treatment with curative promise, led by research in the field of melanoma. Health practitioners have witnessed remarkable improvements in melanoma survival outcomes over the past decade, beginning with checkpoint immunotherapies and BRAF-targeted therapies in the advanced setting that were successfully adopted into the postsurgical adjuvant setting for high-risk resectable disease. Despite substantial reductions in postsurgical recurrence, high-risk resectable melanoma has remained a life-altering and potentially fatal disease. In recent years, data from preclinical models and early-phase clinical trials have pointed to the potential for greater clinical efficacy when checkpoint inhibitors are administered in the neoadjuvant rather than adjuvant setting. Early feasibility studies showed impressive pathologic response rates to neoadjuvant immunotherapy, which were associated with recurrence-free survival rates of over 90%. Recently, the randomized phase II SWOG S1801 trial (ClinicalTrials.gov identifier: NCT03698019) reported a 42% reduction in 2-year event-free survival risk with neoadjuvant versus adjuvant pembrolizumab in resectable stage IIIB-D/IV melanoma (72% v 49%; hazard ratio, 0.58; P = .004), establishing neoadjuvant single-agent immunotherapy as a new standard of care. A randomized phase III trial of neoadjuvant immunotherapy in resectable stage IIIB-D melanoma, NADINA (ClinicalTrials.gov identifier: NCT04949113), is ongoing, as are feasibility studies in high-risk stage II disease. With a swathe of clinical, quality-of-life, and economic benefits, neoadjuvant immunotherapy has the potential to redefine the contemporary management of resectable tumors.
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Affiliation(s)
- Georgina V Long
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Royal North Shore Hospital, Sydney, NSW, Australia
- Mater Hospital, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Alexander M Menzies
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Royal North Shore Hospital, Sydney, NSW, Australia
- Mater Hospital, Sydney, NSW, Australia
| | - Richard A Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Royal Prince Alfred Hospital, Sydney, NSW, Australia
- NSW Health Pathology, Sydney, NSW, Australia
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Mao Y, Gide TN, Adegoke NA, Quek C, Maher N, Potter A, Patrick E, Saw RPM, Thompson JF, Spillane AJ, Shannon KF, Carlino MS, Lo SN, Menzies AM, da Silva IP, Long GV, Scolyer RA, Wilmott JS. Cross-platform comparison of immune signatures in immunotherapy-treated patients with advanced melanoma using a rank-based scoring approach. J Transl Med 2023; 21:257. [PMID: 37055772 PMCID: PMC10103529 DOI: 10.1186/s12967-023-04092-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 03/27/2023] [Indexed: 04/15/2023] Open
Abstract
BACKGROUND Gene expression profiling is increasingly being utilised as a diagnostic, prognostic and predictive tool for managing cancer patients. Single-sample scoring approach has been developed to alleviate instability of signature scores due to variations from sample composition. However, it is a challenge to achieve comparable signature scores across different expressional platforms. METHODS The pre-treatment biopsies from a total of 158 patients, who have received single-agent anti-PD-1 (n = 84) or anti-PD-1 + anti-CTLA-4 therapy (n = 74), were performed using NanoString PanCancer IO360 Panel. Multiple immune-related signature scores were measured from a single-sample rank-based scoring approach, singscore. We assessed the reproducibility and the performance in reporting immune profile of singscore based on NanoString assay in advance melanoma. To conduct cross-platform analyses, singscores between the immune profiles of NanoString assay and the previous orthogonal whole transcriptome sequencing (WTS) data were compared through linear regression and cross-platform prediction. RESULTS singscore-derived signature scores reported significantly high scores in responders in multiple PD-1, MHC-1-, CD8 T-cell-, antigen presentation-, cytokine- and chemokine-related signatures. We found that singscore provided stable and reproducible signature scores among the repeats in different batches and cross-sample normalisations. The cross-platform comparisons confirmed that singscores derived via NanoString and WTS were comparable. When singscore of WTS generated by the overlapping genes to the NanoString gene set, the signatures generated highly correlated cross-platform scores (Spearman correlation interquartile range (IQR) [0.88, 0.92] and r2 IQR [0.77, 0.81]) and better prediction on cross-platform response (AUC = 86.3%). The model suggested that Tumour Inflammation Signature (TIS) and Personalised Immunotherapy Platform (PIP) PD-1 are informative signatures for predicting immunotherapy-response outcomes in advanced melanoma patients treated with anti-PD-1-based therapies. CONCLUSIONS Overall, the outcome of this study confirms that singscore based on NanoString data is a feasible approach to produce reliable signature scores for determining patients' immune profiles and the potential clinical utility in biomarker implementation, as well as to conduct cross-platform comparisons, such as WTS.
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Affiliation(s)
- Yizhe Mao
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Tuba N Gide
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Nurudeen A Adegoke
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Camelia Quek
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Nigel Maher
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia
| | - Alison Potter
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia
| | - Ellis Patrick
- School of Mathematics and Statistics, The University of Sydney, Sydney, NSW, Australia
- The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia
| | - Robyn P M Saw
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Mater Hospital, North Sydney, Sydney, NSW, Australia
| | - John F Thompson
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Mater Hospital, North Sydney, Sydney, NSW, Australia
| | - Andrew J Spillane
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Mater Hospital, North Sydney, Sydney, NSW, Australia
- Royal North Shore Hospital, Sydney, Australia
| | - Kerwin F Shannon
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Mater Hospital, North Sydney, Sydney, NSW, Australia
- Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Matteo S Carlino
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Westmead and Blacktown Hospitals, Sydney, NSW, Australia
| | - Serigne N Lo
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Alexander M Menzies
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Mater Hospital, North Sydney, Sydney, NSW, Australia
- Royal North Shore Hospital, Sydney, Australia
| | - Inês Pires da Silva
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Georgina V Long
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Mater Hospital, North Sydney, Sydney, NSW, Australia
- Royal North Shore Hospital, Sydney, Australia
| | - Richard A Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, NSW, Australia
| | - James S Wilmott
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
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Zhang Y, Zhong P, Wang L, Zhang Y, Li N, Li Y, Jin Y, Bibi A, Huang Y, Xu Y. Development and validation of a clinical risk score to predict the occurrence of critical illness in hospitalized patients with SFTS. J Infect Public Health 2023; 16:393-398. [PMID: 36706468 DOI: 10.1016/j.jiph.2023.01.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/16/2022] [Accepted: 01/11/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with high mortality. Early identification of patients who may advance to critical stages is crucial. This investigation aimed to establish models to predict SFTS before it reaches the critical illness stage. METHODS Between January 2016 and September 2022, 278 cases have been included in this study. There were 87 demographic and systemic chosen variables. For selecting the predictive variables from the cohort, the LASSO was utilized, and for identifying independent predictors, multivariate logistic regression was performed. Based on these factors, a nomogram was established for critical illness. Concordance index values, decision curve analysis and the area under the curve (AUC) were also examined. RESULTS Multivariate logistic regression demonstrated the most important differentiating factors as;> 65 years old (P < 0.001, OR 3.388, 95 % CI 1.767-6.696), elevated serum PT (P = 0.011, OR 6.641, 95 % CI 1.584-31.934), elevated serum TT (P = 0.005, OR 3.384, 95 % CI 1.503-8.491), and elevated serum bicarbonate (P = 0.014, OR 0.242, 95 % CI 0.070-0.707). The C-index of the nomogram was 0.812 (95 % CI: 0.754-0.869), representing good discrimination. The model also showed excellent calibration. The AUC of the nomogram established based on four factors, as mentioned earlier, was 0.806. Furthermore, the model had the excellent net benefit, as revealed by the decision curve analysis. CONCLUSION An accurate risk score system built on manifestations noted in patients with SFTS upon admission to hospital, might be advantageous in managing SFTS.
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Affiliation(s)
- Yin Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Department of Pathogen Biology and Provincial Laboratories of Pathogen Biology and Zoonoses, Anhui Medical University, No. 81 Meishan Rd, Hefei, China
| | - Pei Zhong
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Department of Pathogen Biology and Provincial Laboratories of Pathogen Biology and Zoonoses, Anhui Medical University, No. 81 Meishan Rd, Hefei, China
| | - Lianzi Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Department of Pathogen Biology and Provincial Laboratories of Pathogen Biology and Zoonoses, Anhui Medical University, No. 81 Meishan Rd, Hefei, China
| | - Yu Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Nan Li
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yaoyao Li
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yangyang Jin
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Asma Bibi
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Department of Pathogen Biology and Provincial Laboratories of Pathogen Biology and Zoonoses, Anhui Medical University, No. 81 Meishan Rd, Hefei, China
| | - Ying Huang
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
| | - Yuanhong Xu
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China; Department of Pathogen Biology and Provincial Laboratories of Pathogen Biology and Zoonoses, Anhui Medical University, No. 81 Meishan Rd, Hefei, China.
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Wong SK, Blum SM, Sun X, Da Silva IP, Zubiri L, Ye F, Bai K, Zhang K, Ugurel S, Zimmer L, Livingstone E, Schadendorf D, Serra-Bellver P, Muñoz-Couselo E, Ortiz C, Lostes J, Huertas RM, Arance A, Pickering L, Long GV, Carlino MS, Buchbinder EI, Vázquez-Cortés L, Jara-Casas D, Márquez-Rodas I, González-Espinoza IR, Balko JM, Menzies AM, Sullivan RJ, Johnson DB. Efficacy and safety of immune checkpoint inhibitors in young adults with metastatic melanoma. Eur J Cancer 2023; 181:188-197. [PMID: 36680880 DOI: 10.1016/j.ejca.2022.12.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND The integration of immune checkpoint inhibitors (ICI) for the treatment of melanoma has resulted in remarkable and durable responses. Given the potential role of immunosenescence, age may contribute to differential ICI efficacy and toxicity. While older patients have been studied in detail, outcomes from ICI in young patients (≤40 years) are not well characterised. METHODS We performed a multi-institutional, retrospective study of patients with advanced melanoma treated with anti-PD-1 monotherapy or ICI combination (ipilimumab and anti-PD-1). Response rates, survival, and toxicities were examined based on age comparing those under 40 years of age with older patients (age 41-70 and ≥ 71 years). RESULTS A total of 676 patients were included: 190 patients (28%) aged ≤40 years, 313 (46%) between ages 41-70, and 173 patients (26%) aged ≥71. Patients ≤40 years had higher response rates (53% vs 38%, p = 0.035) and improved progression-free survival (median 13.7 vs 4.0 months, p = 0.032) with combination ICI compared to monotherapy. Progression-free survival was similar among groups while overall survival was inferior in patients >70 years, who had low response rates to combination therapy (28%). ICIs had a similar incidence of severe toxicities, though hepatotoxicity was particularly common in younger patients vs. patients >40 with monotherapy (9% vs. 2%, p = 0.007) or combination ICI (37% vs. 10%, p < 0.001). CONCLUSIONS ICIs had comparable efficacy between younger and older patients, although outcomes were superior with combination ICI compared to monotherapy in patients aged ≤40 years. Toxicity incidence was similar across age groups, though organs affected were substantially different.
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Affiliation(s)
- Selina K Wong
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Steven M Blum
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Xiaopeng Sun
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Inês P Da Silva
- University of Sydney, Melanoma Institute Australia, Sydney, Australia
| | - Leyre Zubiri
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Fei Ye
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kun Bai
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kevin Zhang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Selma Ugurel
- University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Lisa Zimmer
- University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | | | - Dirk Schadendorf
- University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | | | - Eva Muñoz-Couselo
- University Hospital Vall D'Hebron, Vall D'Hebron Institute of Oncology, Barcelona, Spain
| | - Carolina Ortiz
- University Hospital Vall D'Hebron, Vall D'Hebron Institute of Oncology, Barcelona, Spain
| | - Julia Lostes
- University Hospital Vall D'Hebron, Vall D'Hebron Institute of Oncology, Barcelona, Spain
| | | | - Ana Arance
- Hospital Clinic de Barcelona, Barcelona, Spain
| | - Lisa Pickering
- The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Georgina V Long
- University of Sydney, Melanoma Institute Australia, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Matteo S Carlino
- University of Sydney, Melanoma Institute Australia, Sydney, Australia; Westmead and Blacktown Hospitals, Melanoma Institute Australia, Sydney, Australia
| | | | | | | | | | | | - Justin M Balko
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alexander M Menzies
- University of Sydney, Melanoma Institute Australia, Sydney, Australia; Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Ryan J Sullivan
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Douglas B Johnson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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ter Maat L, van Duin IA, Elias SG, Leiner T, Verhoeff JJ, Arntz ER, Troenokarso MF, Blokx WA, Isgum I, de Wit GA, van den Berkmortel FW, Boers-Sonderen MJ, Boomsma MF, van den Eertwegh FJ, de Groot JWB, Piersma D, Vreugdenhil A, Westgeest HM, Kapiteijn E, van Diest PJ, Pluim J, de Jong PA, Suijkerbuijk KP, Veta M. CT radiomics compared to a clinical model for predicting checkpoint inhibitor treatment outcomes in patients with advanced melanoma. Eur J Cancer 2023; 185:167-177. [PMID: 36996627 DOI: 10.1016/j.ejca.2023.02.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/10/2023] [Accepted: 02/17/2023] [Indexed: 03/18/2023]
Abstract
INTRODUCTION Predicting checkpoint inhibitors treatment outcomes in melanoma is a relevant task, due to the unpredictable and potentially fatal toxicity and high costs for society. However, accurate biomarkers for treatment outcomes are lacking. Radiomics are a technique to quantitatively capture tumour characteristics on readily available computed tomography (CT) imaging. The purpose of this study was to investigate the added value of radiomics for predicting clinical benefit from checkpoint inhibitors in melanoma in a large, multicenter cohort. METHODS Patients who received first-line anti-PD1±anti-CTLA4 treatment for advanced cutaneous melanoma were retrospectively identified from nine participating hospitals. For every patient, up to five representative lesions were segmented on baseline CT, and radiomics features were extracted. A machine learning pipeline was trained on the radiomics features to predict clinical benefit, defined as stable disease for more than 6 months or response per RECIST 1.1 criteria. This approach was evaluated using a leave-one-centre-out cross validation and compared to a model based on previously discovered clinical predictors. Lastly, a combination model was built on the radiomics and clinical model. RESULTS A total of 620 patients were included, of which 59.2% experienced clinical benefit. The radiomics model achieved an area under the receiver operator characteristic curve (AUROC) of 0.607 [95% CI, 0.562-0.652], lower than that of the clinical model (AUROC=0.646 [95% CI, 0.600-0.692]). The combination model yielded no improvement over the clinical model in terms of discrimination (AUROC=0.636 [95% CI, 0.592-0.680]) or calibration. The output of the radiomics model was significantly correlated with three out of five input variables of the clinical model (p < 0.001). DISCUSSION The radiomics model achieved a moderate predictive value of clinical benefit, which was statistically significant. However, a radiomics approach was unable to add value to a simpler clinical model, most likely due to the overlap in predictive information learned by both models. Future research should focus on the application of deep learning, spectral CT-derived radiomics, and a multimodal approach for accurately predicting benefit to checkpoint inhibitor treatment in advanced melanoma.
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Navani V, Meyers DE, Ruan Y, Boyne DJ, O'Sullivan DE, Dolter S, Grosjean HA, Stukalin I, Heng DYC, Morris DG, Brenner DR, Sangha R, Cheung WY, Pabani A. Lung Immune Therapy Evaluation (LITE) Risk, a Novel Prognostic Model for Patients With Advanced Non-Small Cell Lung Cancer Treated With Immune Checkpoint Blockade. Clin Lung Cancer 2023; 24:e152-e159. [PMID: 36774234 DOI: 10.1016/j.cllc.2022.12.014] [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: 07/28/2022] [Revised: 10/28/2022] [Accepted: 12/26/2022] [Indexed: 01/21/2023]
Abstract
INTRODUCTION/BACKGROUND Immune checkpoint inhibitors (ICI) have revolutionized non-small cell lung cancer (NSCLC). We aimed to identify baseline characteristics, that are prognostic factors for overall survival (OS) in patients with NSCLC treated with ICI monotherapy, in order to derive the Lung Immune Therapy Evaluation (LITE) risk, a prognostic model. MATERIALS AND METHODS Multi-center observational cohort study of patients with advanced NSCLC that received ≥1 dose of ICI monotherapy. The training set (n=342) consisted of patients with NSCLC who received first line ICI. The test set (n=153) used for external validation was a discrete cohort of patients who received second line ICI. 20 candidate prognostic factors were examined. Penalized Cox regression was used for variable selection. Multiple imputation was used to address missingness. RESULTS Three baseline characteristics populated the final model: ECOG (0, 1 or ≥2), lactate dehydrogenase>upper limit of normal, and derived neutrophil to lymphocyte ratio ≥3. Patients were parsed into 3 risk groups; favorable (n=146, risk score 0-1), intermediate (n=101, risk score 2) and poor (n=95, risk score ≥3). The c-statistic of the training cohort was 0.702 and 0.694 after bootstrapping. The test cohort c-statistic was 0.664. The median OS for favorable, intermediate and poor LITE risk were; 28.3 months, 9.1 months and 2.1 months respectively. Improving LITE risk group was associated with improved OS, intermediate vs favorable HR 2.08 (95%CI 1.46-2.97, P < .001); poor vs favorable HR 5.21 (95%CI 3.69-7.34, P < .001). CONCLUSION A simple prognostic model, utilizing accessible clinical data, can discriminate survival outcomes in patients with advanced NSCLC.
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Affiliation(s)
- Vishal Navani
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada; Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
| | - Daniel E Meyers
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada
| | - Yibing Ruan
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada; Forzani & MacPhail Colon Cancer Screening Centre, University of Calgary, Calgary, Alberta, Canada
| | - Devon J Boyne
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Dylan E O'Sullivan
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada; Forzani & MacPhail Colon Cancer Screening Centre, University of Calgary, Calgary, Alberta, Canada
| | - Samantha Dolter
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada
| | - Heidi Ai Grosjean
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada
| | - Igor Stukalin
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada
| | - Daniel Y C Heng
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada; Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Don G Morris
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada; Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Darren R Brenner
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Randeep Sangha
- Department of Medical Oncology, Cross Cancer Institute, Edmonton, Alberta, Canada
| | - Winson Y Cheung
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada; Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Aliyah Pabani
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary, Alberta, Canada; Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
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Yang H, Xue M, Su P, Zhou Y, Li X, Li Z, Xia Y, Zhang C, Fu M, Zheng X, Luo G, Wei T, Wang X, Ding Y, Zhu J, Zhuang T. RNF31 represses cell progression and immune evasion via YAP/PD-L1 suppression in triple negative breast Cancer. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2022; 41:364. [PMID: 36581998 PMCID: PMC9801641 DOI: 10.1186/s13046-022-02576-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 12/19/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND Recently genome-based studies revealed that the abnormality of Hippo signaling is pervasive in TNBC and played important role in cancer progression. RING finger protein 31 (RNF31) comes to RING family E3 ubiquitin ligase. Our previously published studies have revealed RNF31 is elevated in ER positive breast cancer via activating estrogen signaling and suppressing P53 pathway. METHODS We used several TNBC cell lines and xenograft models and performed immuno-blots, QPCR, in vivo studies to investigate the function of RNF31 in TNBC progression. RESULT Here, we demonstrate that RNF31 plays tumor suppressive function in triple negative breast cancer (TNBC). RNF31 depletion increased TNBC cell proliferation and migration in vitro and in vitro. RNF31 depletion in TNBC coupled with global genomic expression profiling indicated Hippo signaling could be the potential target for RNF31 to exert its function. Further data showed that RNF31 depletion could increase the level of YAP protein, and Hippo signaling target genes expression in several TNBC cell lines, while clinical data illustrated that RNF31 expression correlated with longer relapse-free survival in TNBC patients and reversely correlated with YAP protein level. The molecular biology assays implicated that RNF31 could associate with YAP protein, facilitate YAP poly-ubiquitination and degradation at YAP K76 sites. Interestingly, RNF31 could also repress PDL1 expression and sensitive TNBC immunotherapy via inhibiting Hippo/YAP/PDL1 axis. CONCLUSIONS Our study revealed the multi-faced function of RNF31 in different subtypes of breast malignancies, while activation RNF31 could be a plausible strategy for TNBC therapeutics.
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Affiliation(s)
- Huijie Yang
- grid.412990.70000 0004 1808 322XXinxiang Key Laboratory of Tumor Migration and Invasion Precision Medicine, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, 453003 Henan Province People’s Republic of China
| | - Min Xue
- grid.440265.10000 0004 6761 3768Molecular Biology Laboratory, First People’s Hospital of Shangqiu, Shangqiu, City, 476000 Henan Province People’s Republic of China
| | - Peng Su
- Department of Pathology, Shandong University Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan City, Shandong Province People’s Republic of China
| | - Yan Zhou
- grid.27255.370000 0004 1761 1174Department of General Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province 250033 People’s Republic of China
| | - Xin Li
- grid.412990.70000 0004 1808 322XXinxiang Key Laboratory of Tumor Migration and Invasion Precision Medicine, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, 453003 Henan Province People’s Republic of China
| | - Zhongbo Li
- grid.412990.70000 0004 1808 322XXinxiang Key Laboratory of Tumor Migration and Invasion Precision Medicine, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, 453003 Henan Province People’s Republic of China
| | - Yan Xia
- grid.412990.70000 0004 1808 322XXinxiang Key Laboratory of Tumor Migration and Invasion Precision Medicine, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, 453003 Henan Province People’s Republic of China
| | - Chenmiao Zhang
- grid.412990.70000 0004 1808 322XXinxiang Key Laboratory of Tumor Migration and Invasion Precision Medicine, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, 453003 Henan Province People’s Republic of China
| | - Mingxi Fu
- grid.412990.70000 0004 1808 322XXinxiang Key Laboratory of Tumor Migration and Invasion Precision Medicine, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, 453003 Henan Province People’s Republic of China
| | - Xiuxia Zheng
- grid.440265.10000 0004 6761 3768Molecular Biology Laboratory, First People’s Hospital of Shangqiu, Shangqiu, City, 476000 Henan Province People’s Republic of China
| | - Guosheng Luo
- grid.412990.70000 0004 1808 322XThe Affiliated people’s Hospital of Xinxiang Medical University, Xinxiang, 453003 Henan Province People’s Republic of China
| | - Tian Wei
- grid.27255.370000 0004 1761 1174Department of General Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province 250033 People’s Republic of China
| | - Xinxing Wang
- grid.412633.10000 0004 1799 0733Department of Breast Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province 450052 People’s Republic of China
| | - Yinlu Ding
- grid.27255.370000 0004 1761 1174Department of General Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province 250033 People’s Republic of China
| | - Jian Zhu
- grid.27255.370000 0004 1761 1174Department of General Surgery, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province 250033 People’s Republic of China
| | - Ting Zhuang
- grid.412990.70000 0004 1808 322XXinxiang Key Laboratory of Tumor Migration and Invasion Precision Medicine, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, 453003 Henan Province People’s Republic of China ,grid.412990.70000 0004 1808 322XThe Affiliated people’s Hospital of Xinxiang Medical University, Xinxiang, 453003 Henan Province People’s Republic of China
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Zhao J, Li D, Xie S, Deng X, Wen X, Li J, Wu Z, Yang X, Li M, Tang Y, Zhang X, Ding Y. Nomogram for predicting prognosis of patients with metastatic melanoma after immunotherapy: A Chinese population-based analysis. Front Immunol 2022; 13:1083840. [PMID: 36618343 PMCID: PMC9815596 DOI: 10.3389/fimmu.2022.1083840] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022] Open
Abstract
Background Previous studies indicated the evidence that baseline levels of thyroid antibodies, thyroid status, and serum lactate dehydrogenase (LDH) and M stage may influence the prognosis of patients with advanced or metastatic melanoma treated with immune checkpoint inhibitors that targets programmed cell death-1 (PD-1) or programmed death ligand 1, which reported that dramatic improvements in survival rates were observed; however, the presence of controversy has prevented consensus from being reached. Study objectives were to develop a nomogram to identify several prognostic factors in Chinese patients with metastatic melanoma receiving immunotherapy. Methods This retrospective study included 231 patients from Sun Yat-sen University Cancer Center, and patients were split into internal cohort (n = 165) and external validation cohort (n = 66). We developed a nomogram for the prediction of response and prognosis on the basis of the levels of serum thyroid peroxidase antibody (A-TPO), free T3 (FT3), and LDH and M stage that were measured at the baseline of anti-PD-1 infusion. In addition, the follow-up lasted at least until 5 years after the treatment or mortality. RECIST v1.1 was used to classify treatment responses. Results Chi-square test showed that PD-1 antibody was more effective in patients with melanoma with high level baseline FT4 or earlier M stage. A multivariate Cox analysis showed that baseline FT3 (P = 0.009), baseline A-TPO (P = 0.016), and LDH (P = 0.013) levels and M stage (P < 0.001) independently predicted overall survival (OS) in patients with melanoma. The above factors are integrated, and a prediction model is established, i.e., nomogram. Survival probability area-under-the-curve values of 1, 2, and 3 years in the training, internal validation, and external validation cohorts showed the prognostic accuracy and clinical applicability of nomogram (training: 0.714, 0.757, and 0.764; internal validation: 0.7171963, 0.756549, and 0.7651486; external validation: 0.748, 0.710, and 0.856). In addition, the OS of low-risk (total score ≤ 142.65) versus high-risk (total score > 142.65) patients varied significantly in both training group (P < 0.0001) and external validation cohort (P = 0.0012). Conclusions According to this study, baseline biomarkers are associated with response to immunotherapy and prognosis among patients with metastatic melanoma. Treatment regimens can be tailor-made on the basis of these biomarkers.
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Affiliation(s)
- Jingjing Zhao
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Dandan Li
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Songzuo Xie
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xinpei Deng
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xizhi Wen
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jingjing Li
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhengrong Wu
- Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Xinyi Yang
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Minxing Li
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yan Tang
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China,*Correspondence: Ya Ding, ; Xiaoshi Zhang, ; Yan Tang,
| | - Xiaoshi Zhang
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China,*Correspondence: Ya Ding, ; Xiaoshi Zhang, ; Yan Tang,
| | - Ya Ding
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou, China,Department of Biotherapy, Sun Yat-Sen University Cancer Center, Guangzhou, China,*Correspondence: Ya Ding, ; Xiaoshi Zhang, ; Yan Tang,
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Conway JW, Braden J, Wilmott JS, Scolyer RA, Long GV, Pires da Silva I. The effect of organ-specific tumor microenvironments on response patterns to immunotherapy. Front Immunol 2022; 13:1030147. [DOI: 10.3389/fimmu.2022.1030147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 11/04/2022] [Indexed: 11/18/2022] Open
Abstract
Immunotherapy, particularly immune checkpoint inhibitors, have become widely used in various settings across many different cancer types in recent years. Whilst patients are often treated on the basis of the primary cancer type and clinical stage, recent studies have highlighted disparity in response to immune checkpoint inhibitors at different sites of metastasis, and their impact on overall response and survival. Studies exploring the tumor immune microenvironment at different organ sites have provided insights into the immune-related mechanisms behind organ-specific patterns of response to immunotherapy. In this review, we aimed to highlight the key learnings from clinical studies across various cancers including melanoma, lung cancer, renal cell carcinoma, colorectal cancer, breast cancer and others, assessing the association of site of metastasis and response to immune checkpoint inhibitors. We also summarize the key clinical and pre-clinical findings from studies exploring the immune microenvironment of specific sites of metastasis. Ultimately, further characterization of the tumor immune microenvironment at different metastatic sites, and understanding the biological drivers of these differences, may identify organ-specific mechanisms of resistance, which will lead to more personalized treatment approaches for patients with innate or acquired resistance to immunotherapy.
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Albrecht LJ, Höwner A, Griewank K, Lueong SS, von Neuhoff N, Horn PA, Sucker A, Paschen A, Livingstone E, Ugurel S, Zimmer L, Horn S, Siveke JT, Schadendorf D, Váraljai R, Roesch A. Circulating cell-free messenger RNA enables non-invasive pan-tumour monitoring of melanoma therapy independent of the mutational genotype. Clin Transl Med 2022; 12:e1090. [PMID: 36320118 PMCID: PMC9626658 DOI: 10.1002/ctm2.1090] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 09/09/2022] [Accepted: 10/03/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Plasma-derived tumour-specific cell-free nucleic acids are increasingly utilized as a minimally invasive, real-time biomarker approach in many solid tumours. Circulating tumour DNA of melanoma-specific mutations is currently the best studied liquid biopsy biomarker for melanoma. However, the combination of hotspot genetic alterations covers only around 80% of all melanoma patients. Therefore, alternative approaches are needed to enable the follow-up of all genotypes, including wild-type. METHODS We identified KPNA2, DTL, BACE2 and DTYMK messenger RNA (mRNA) upregulated in melanoma versus nevi tissues by unsupervised data mining (N = 175 melanoma, N = 20 normal skin, N = 6 benign nevi) and experimentally confirmed differential mRNA expression in vitro (N = 18 melanoma, N = 8 benign nevi). Circulating cell-free RNA (cfRNA) was analysed in 361 plasma samples (collected before and during therapy) from 100 melanoma patients and 18 healthy donors. Absolute cfRNA copies were quantified on droplet digital PCR. RESULTS KPNA2, DTL, BACE2 and DTYMK cfRNA demonstrated high diagnostic accuracy between melanoma patients' and healthy donors' plasma (AUC > 86%, p < .0001). cfRNA copies increased proportionally with increasing tumour burden independently of demographic variables and even remained elevated in individuals with radiological absence of disease. Re-analysis of single-cell transcriptomes revealed a pan-tumour origin of cfRNA, including endothelial, cancer-associated fibroblasts, macrophages and B cells beyond melanoma cells as cellular sources. Low baseline cfRNA levels were associated with significantly longer progression-free survival (PFS) (KPNA2 HR = .54, p = .0362; DTL HR = .60, p = .0349) and overall survival (KPNA2 HR = .52, p = .0237; BACE2 HR = .55, p = .0419; DTYMK HR = .43, p = .0393). Lastly, we found that cfRNA copies significantly increased during therapy in non-responders compared to responders regardless of therapy and mutational subtypes and that the increase of KPNA2 (HR = 1.73, p = .0441) and DTYMK (HR = 1.82, p = .018) cfRNA during therapy was predictive of shorter PFS. CONCLUSIONS In sum, we identified a new panel of cfRNAs for a pan-tumour liquid biopsy approach and demonstrated its utility as a prognostic, therapy-monitoring tool independent of the melanoma mutational genotype.
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Affiliation(s)
- Lea Jessica Albrecht
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Anna Höwner
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Klaus Griewank
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Smiths S. Lueong
- Bridge Institute of Experimental Tumor TherapyWest German Cancer CenterUniversity Hospital of EssenUniversity of Duisburg‐EssenEssenGermany
- Division of Solid Tumor Translational OncologyGerman Cancer Consortium (DKTK Partner Site Essen) and German Cancer Research CenterDKFZHeidelbergGermany
| | - Nils von Neuhoff
- Department of Pediatric Hematology and OncologyDepartment for Pediatrics IIIUniversity Hospital of EssenEssenGermany
| | - Peter A. Horn
- Institute for Transfusion MedicineUniversity Hospital of EssenEssenGermany
| | - Antje Sucker
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Annette Paschen
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Elisabeth Livingstone
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Selma Ugurel
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Lisa Zimmer
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Susanne Horn
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
- Faculty Rudolf‐Schönheimer‐Institute for BiochemistryUniversity of LeipzigLeipzigGermany
| | - Jens T. Siveke
- Bridge Institute of Experimental Tumor TherapyWest German Cancer CenterUniversity Hospital of EssenUniversity of Duisburg‐EssenEssenGermany
- Division of Solid Tumor Translational OncologyGerman Cancer Consortium (DKTK Partner Site Essen) and German Cancer Research CenterDKFZHeidelbergGermany
| | - Dirk Schadendorf
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Renáta Váraljai
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
| | - Alexander Roesch
- Department of DermatologyUniversity Hospital of EssenWest German Cancer CenterUniversity Duisburg‐Essen and the German Cancer Consortium (DKTK)EssenGermany
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Goutam S, Stukalin I, Ewanchuk B, Sander M, Ding PQ, Meyers DE, Heng D, Cheung WY, Cheng T. Clinical Factors Associated with Long-Term Survival in Metastatic Melanoma Treated with Anti-PD1 Alone or in Combination with Ipilimumab. Curr Oncol 2022; 29:7695-7704. [PMID: 36290885 PMCID: PMC9600126 DOI: 10.3390/curroncol29100608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/08/2022] [Accepted: 10/12/2022] [Indexed: 11/12/2022] Open
Abstract
Immune checkpoint inhibitors (ICIs) for treatment of metastatic melanoma (MM) offer lasting overall survival (OS) benefit in a subset of patients. However, outcomes remain poor for non-responders. Clinical predictors of long-term survival remain elusive. We utilized the Alberta Immunotherapy Database to investigate the association of host and disease characteristics, and treatment factors with overall survival (OS) greater than 3 years. We identified patients treated between August 2013 and May 2020 with single-agent anti-PD1 or combination (anti-PD1 and anti-CTLA4) ICI regimens. A logistic regression model was used to assess for independent association between clinical factors captured and survival greater than 3 years. Statistically significant factors on univariable analysis were assessed using multivariable analysis. In total, 284 of 460 patients were identified to have short-term (<1 year) or long-term (>3 years) survival with 186 surviving <1 year and 98 surviving >3 years. The median age was 64 and 18.4% of patients were ECOG ≥ 2. On logistic regression, Breslow's Depth ≤ 4 mm, normal serum LDH, normal serum albumin and M-stage 1a/b were associated with OS > 3 years on univariable and multivariable analysis. ECOG < 2, dNLR ≤ 3, normal hemoglobin were only associated with survival on the univariable analysis but not in the multivariable analysis. The objective response rate in long-term survivors was 83.7% compared to 7.5% in the short-term survivors. Our study identifies four easily accessible predictors of long-term survival in a large real-world MM cohort treated with ICI.
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Affiliation(s)
- Siddhartha Goutam
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R7, Canada
| | - Igor Stukalin
- Tom Baker Cancer Center, University of Calgary, Calgary, AB T2N 4N2, Canada
| | - Benjamin Ewanchuk
- Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Michael Sander
- Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Philip Q. Ding
- Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2R7, Canada
- Oncology Outcomes, Calgary, AB T2N 4N2, Canada
| | - Daniel E. Meyers
- Tom Baker Cancer Center, University of Calgary, Calgary, AB T2N 4N2, Canada
| | - Daniel Heng
- Tom Baker Cancer Center, University of Calgary, Calgary, AB T2N 4N2, Canada
| | - Winson Y. Cheung
- Tom Baker Cancer Center, University of Calgary, Calgary, AB T2N 4N2, Canada
| | - Tina Cheng
- Tom Baker Cancer Center, University of Calgary, Calgary, AB T2N 4N2, Canada
- Correspondence: ; Tel.: +1-403-521-3723
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Shteinman ER, Wilmott JS, da Silva IP, Long GV, Scolyer RA, Vergara IA. Causes, consequences and clinical significance of aneuploidy across melanoma subtypes. Front Oncol 2022; 12:988691. [PMID: 36276131 PMCID: PMC9582607 DOI: 10.3389/fonc.2022.988691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Aneuploidy, the state of the cell in which the number of whole chromosomes or chromosome arms becomes imbalanced, has been recognized as playing a pivotal role in tumor evolution for over 100 years. In melanoma, the extent of aneuploidy, as well as the chromosomal regions that are affected differ across subtypes, indicative of distinct drivers of disease. Multiple studies have suggested a role for aneuploidy in diagnosis and prognosis of melanomas, as well as in the context of immunotherapy response. A number of key constituents of the cell cycle have been implicated in aneuploidy acquisition in melanoma, including several driver mutations. Here, we review the state of the art on aneuploidy in different melanoma subtypes, discuss the potential drivers, mechanisms underlying aneuploidy acquisition as well as its value in patient diagnosis, prognosis and response to immunotherapy treatment.
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Affiliation(s)
- Eva R. Shteinman
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - James S. Wilmott
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Ines Pires da Silva
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Cancer & Hematology Centre, Blacktown Hospital, Blacktown, NSW, Australia
| | - Georgina V. Long
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, NSW, Australia
| | - Richard A. Scolyer
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and New South Wales (NSW) Health Pathology, Sydney, NSW, Australia
| | - Ismael A. Vergara
- Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- *Correspondence: Ismael A. Vergara,
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McKinley SK, Brady MS. Neoadjuvant therapy for melanoma: A critical appraisal. J Surg Oncol 2022; 127:132-139. [PMID: 36121419 DOI: 10.1002/jso.27089] [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: 08/23/2022] [Accepted: 08/28/2022] [Indexed: 11/09/2022]
Abstract
The treatment of advanced melanoma has significantly changed since the development of targeted and immune therapy. To date, these agents have primarily been used in the adjuvant or metastatic setting. Given several theoretical advantages, there is increased interest in the use of these new therapeutics in the neoadjuvant setting. In this review, we detail the potential benefits and pitfalls of neoadjuvant therapy for melanoma, review the currently available data, and describe ongoing neoadjuvant trials.
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Affiliation(s)
- Sophia K McKinley
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Mary S Brady
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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Chen JC, Li Y, Fisher JL, Bhattacharyya O, Tsung A, Bazan JG, Obeng-Gyasi S. Modified Radical Mastectomy in De Novo Stage IV Inflammatory Breast Cancer. Ann Surg Oncol 2022; 29:6681-6688. [PMID: 35676605 DOI: 10.1245/s10434-022-11975-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/16/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND There are few studies on surgical management in patients with de novo metastatic inflammatory breast cancer (IBC). The objective of this study is to examine the association between modified radical mastectomy (MRM) and disease-specific survival (DSS) in patients with de novo stage IV IBC. PATIENTS AND METHODS The Surveillance, Epidemiology, and End Result Program was queried for patients ≥18 years old with cT4d/pT4d pathology, histology type 8530 and 8533 with distant disease between 2010 and 2016. The sample was divided into two groups: (1) the MRM group, defined as MRM or mastectomy with at least ten lymph nodes removed, and (2) the no-surgery group. Sociodemographic and clinical variables were compared between the groups on bivariable analysis. After propensity score matching, Kaplan-Meier curves and a Cox proportional-hazards model examined DSS. RESULTS 1293 patients were included in the study, of whom 240 underwent MRM. A higher percentage in the MRM group had only one metastatic site (69.8% versus 52.2%), received chemotherapy (88.3% versus 66.1%) and radiation (58.8% versus 26.0%) compared with the no-MRM group. MRM was associated with an increase in DSS compared with no MRM [HR 0.63 (95% CI 0.50-0.80), p < 0.001]. Patients with MRM had a 5-year DSS rate of 31.4% compared with 17.7% for patients not undergoing surgery (p = 0.001). Survival time was 38 months (range 27-45 months) for the MRM group versus 27 months (22-29 months) for the no-MRM group. CONCLUSION MRM in patients with de novo metastatic IBC may improve DSS in a subset of patients.
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Affiliation(s)
- J C Chen
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Yaming Li
- Department of Biomedical Informatics, University of Pittsburg, Pittsburg, PA, USA
| | - James L Fisher
- The Ohio State University College of Medicine, Columbus, OH, USA.,The Ohio State University Wexner Medical Center, James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
| | - Oindrila Bhattacharyya
- Department of Economics, Indiana University Purdue University, Indianapolis, IN, USA.,The William Tierney Center for Health Services Research, Regenstrief Institute, Inc, Indianapolis, IN, USA
| | - Allan Tsung
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.,The Ohio State University Wexner Medical Center, James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
| | - Jose G Bazan
- The Ohio State University Wexner Medical Center, James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.,Department of Radiation Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Samilia Obeng-Gyasi
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA. .,The Ohio State University Wexner Medical Center, James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
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Lao CD, Khushalani NI, Angeles C, Petrella TM. Current State of Adjuvant Therapy for Melanoma: Less Is More, or More Is Better? Am Soc Clin Oncol Educ Book 2022; 42:1-7. [PMID: 35658502 DOI: 10.1200/edbk_351153] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Advances in melanoma treatments over the past decade have changed the course of survival for patients. Several adjuvant therapies have been approved and are now considered standard of care for high-risk patients. These therapies have shown improvements for recurrence-free survival and distant metastases-free survival, but not overall survival, as the data are maturing. The 5-year recurrence-free survival in the COMBI-AD study, which compared dabrafenib and trametinib with placebo, was 65% and 58%, respectively. In the KEYNOTE-054 study, the recurrence-free survival at 3 years was 63.7% versus 41%. Despite these advances, approximately 50% of patients will succumb to their disease. Adjuvant therapy is considered potentially curative and avoids the morbidity of relapsed disease and the poor outcomes seen in metastatic disease. However, the lack of overall survival benefit in clinical trials of patients with high-risk stage II and stage III disease raises the question of whether it is more efficacious to treat when there is residual microscopic disease, or to wait until the disease recurs to avoid treating those who may have been cured by surgery alone. Immunotherapy also has the potential for substantial toxicity that may be lifelong; hence, discussion of risks and benefits of therapy is warranted because there should be less tolerance for substantial toxicity in the adjuvant setting. Adjuvant trials are needed that will integrate biomarkers to allow for better selection of patients who will truly benefit from adjuvant therapy.
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Affiliation(s)
| | | | | | - Teresa M Petrella
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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