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    Clinical Models to Define Response and Survival With Anti-PD-1 Antibodies Alone or Combined With Ipilimumab in Metastatic Melanoma

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    Authors
    Pires da Silva, I.
    Ahmed, T.
    McQuade, J. L.
    Nebhan, C. A.
    Park, J. J.
    Versluis, J. M.
    Serra-Bellver, P.
    Khan, Y.
    Slattery, T.
    Oberoi, H. K.
    Ugurel, S.
    Haydu, L. E.
    Herbst, R.
    Utikal, J.
    Pföhler, C.
    Terheyden, P.
    Weichenthal, M.
    Gutzmer, R.
    Mohr, P.
    Rai, R.
    Smith, J. L.
    Scolyer, R. A.
    Arance, A. M.
    Pickering, L.
    Larkin, J.
    Lorigan, P.
    Blank, C. U.
    Schadendorf, D.
    Davies, M. A.
    Carlino, M. S.
    Johnson, D. B.
    Long, G. V.
    Lo, S. N.
    Menzies, A. M.
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    Affiliation
    Melanoma Institute Australia, The University of Sydney, Sydney, Australia. Charles Perkins Centre, The University of Sydney, Sydney, Australia. Westmead and Blacktown Hospitals, Sydney, Australia. The University of Texas MD Anderson Cancer Center, Houston, TX. Vanderbilt University Medical Center, Nashville, TN. Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia. Netherlands Cancer Institute, Amsterdam, the Netherlands. The Christie NHS Foundation Trust, Manchester, United Kingdom. The Royal Marsden NHS Foundation Trust, London, United Kingdom. Hospital Clinic, Barcelona & IDIBAPS, Barcelona, Spain. University Hospital Essen, University of Duisburg-Essen, German Cancer Consortium, Partner Site Essen, Essen, Germany. Helios Klinikum Erfurt, Erfurt, Germany. 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. Saarland University Medical Center, Homburg/Saar, Germany. Department of Dermatology, University of Lübeck, Lübeck, Germany. University Skin Cancer Center Kiel, University Hospital of Schleswig-Holstein, Kiel, Germany. Skin Cancer Center, Department of Dermatology, Mühlenkreiskliniken, Ruhr University Bochum Campus Minden, Minden, Germany. Elbe-Klinikum Buxtehude, Buxtehude, Germany. Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, Australia. Faculty of Medicine and Health, The University of Sydney, Sydney, Australia. Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom. Royal North Shore and Mater Hospitals, Sydney, Australia.
    Issue Date
    2022
    
    Metadata
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    Abstract
    PURPOSE Currently, there are no robust biomarkers that predict immunotherapy outcomes in metastatic melanoma. We sought to build multivariable predictive models for response and survival to anti-programmed cell death protein 1 (anti–PD-1) monotherapy or in combination with anticytotoxic T-cell lymphocyte-4 (ipilimumab [IPI]; anti–PD-1 ± IPI) by including routine clinical data available at the point of treatment initiation. METHODS One thousand six hundred forty-four patients with metastatic melanoma treated with anti–PD-1 ± IPI at 16 centers from Australia, the United States, and Europe were included. Demographics, disease characteristics, and baseline blood parameters were analyzed. The end points of this study were objective response rate (ORR), progression-free survival (PFS), and overall survival (OS). The final predictive models for ORR, PFS, and OS were determined through penalized regression methodology (least absolute shrinkage and selection operator method) to select the most significant predictors for all three outcomes (discovery cohort, N = 633). Each model was validated internally and externally in two independent cohorts (validation-1 [N = 419] and validation-2 [N = 592]) and nomograms were created. RESULTS The final model for predicting ORR (area under the curve [AUC] = 0.71) in immunotherapy-treated patients included the following clinical parameters: Eastern Cooperative Oncology Group Performance Status, presence/absence of liver and lung metastases, serum lactate dehydrogenase, blood neutrophil-lymphocyte ratio, therapy (monotherapy/combination), and line of treatment. The final predictive models for PFS (AUC = 0.68) and OS (AUC = 0.77) included the same variables as those in the ORR model (except for presence/absence of lung metastases), and included presence/absence of brain metastases and blood hemoglobin. Nomogram calculators were developed from the clinical models to predict outcomes for patients with metastatic melanoma treated with anti–PD-1 ± IPI. CONCLUSION Newly developed combinations of routinely collected baseline clinical factors predict the response and survival outcomes of patients with metastatic melanoma treated with immunotherapy and may serve as valuable tools for clinical decision making.
    Citation
    Pires da Silva I, Ahmed T, McQuade JL, Nebhan CA, Park JJ, Versluis JM, et al. Clinical Models to Define Response and Survival With Anti–PD-1 Antibodies Alone or Combined With Ipilimumab in Metastatic Melanoma [Internet]. Journal of Clinical Oncology. American Society of Clinical Oncology (ASCO); 2022.
    Journal
    Journal of Clinical Oncologoy
    URI
    http://hdl.handle.net/10541/625099
    DOI
    10.1200/jco.21.01701
    PubMed ID
    35143285
    Additional Links
    https://dx.doi.org/10.1200/jco.21.01701
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1200/jco.21.01701
    Scopus Count
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