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Verfasst von:Pires da Silva, Inês [VerfasserIn]   i
 Ahmed, Tasnia [VerfasserIn]   i
 McQuade, Jennifer L. [VerfasserIn]   i
 Nebhan, Caroline A. [VerfasserIn]   i
 Park, John J. [VerfasserIn]   i
 Versluis, Judith M. [VerfasserIn]   i
 Serra-Bellver, Patricio [VerfasserIn]   i
 Khan, Yasir [VerfasserIn]   i
 Slattery, Tim [VerfasserIn]   i
 Oberoi, Honey K. [VerfasserIn]   i
 Ugurel, Selma [VerfasserIn]   i
 Haydu, Lauren E. [VerfasserIn]   i
 Herbst, Rudolf [VerfasserIn]   i
 Utikal, Jochen [VerfasserIn]   i
 Pföhler, Claudia [VerfasserIn]   i
 Terheyden, Patrick [VerfasserIn]   i
 Weichenthal, Michael [VerfasserIn]   i
 Gutzmer, Ralf [VerfasserIn]   i
 Mohr, Peter [VerfasserIn]   i
 Rai, Rajat [VerfasserIn]   i
 Smith, Jessica L. [VerfasserIn]   i
 Scolyer, Richard A. [VerfasserIn]   i
 Arance, Ana M. [VerfasserIn]   i
 Pickering, Lisa [VerfasserIn]   i
 Larkin, James [VerfasserIn]   i
 Lorigan, Paul [VerfasserIn]   i
 Blank, Christian U. [VerfasserIn]   i
 Schadendorf, Dirk [VerfasserIn]   i
 Davies, Michael A. [VerfasserIn]   i
 Carlino, Matteo S. [VerfasserIn]   i
 Johnson, Douglas B. [VerfasserIn]   i
 Long, Georgina V. [VerfasserIn]   i
 Lo, Serigne N. [VerfasserIn]   i
 Menzies, Alexander M. [VerfasserIn]   i
Titel:Clinical models to define response and survival with anti-PD-1 antibodies alone or combined with ipilimumab in metastatic melanoma
Verf.angabe:Inês Pires da Silva, MD, PhD; Tasnia Ahmed, MSc; Jennifer L. McQuade, MD, PhD; Caroline A. Nebhan, MD; John J. Park, MD; Judith M. Versluis, MD; Patricio Serra-Bellver, MD; Yasir Khan, MD; Tim Slattery, MD; Honey K. Oberoi, MD; Selma Ugurel, MD; Lauren E. Haydu, MD, PhD; Rudolf Herbst, MD; Jochen Utikal, MD; Claudia Pföhler, MD; Patrick Terheyden, MD; Michael Weichenthal, MD; Ralf Gutzmer, MD; Peter Mohr, MD; Rajat Rai, MD; Jessica L. Smith, MD; Richard A. Scolyer, MD; Ana M. Arance, MD, PhD; Lisa Pickering, MD, PhD; James Larkin, MD, PhD; Paul Lorigan, MD; Christian U. Blank, MD, PhD; Dirk Schadendorf, MD, PhD; Michael A. Davies, MD, PhD; Matteo S. Carlino, MD, PhD; Douglas B. Johnson, MD; Georgina V. Long, MD, PhD; Serigne N. Lo, PhD; and Alexander M. Menzies, MD, PhD
E-Jahr:2022
Jahr:February 10, 2022
Umfang:13 S.
Fussnoten:Gesehen am 27.07.2022
Titel Quelle:Enthalten in: Journal of clinical oncology
Ort Quelle:Alexandria, Va. : American Society of Clinical Oncology, 1983
Jahr Quelle:2022
Band/Heft Quelle:40(2022), 10, Seite 1068-1080
ISSN Quelle:1527-7755
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.
DOI:doi:10.1200/JCO.21.01701
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1200/JCO.21.01701
 Volltext: https://ascopubs.org/doi/10.1200/JCO.21.01701
 DOI: https://doi.org/10.1200/JCO.21.01701
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1811800637
Verknüpfungen:→ Zeitschrift

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