Literature DB >> 26227432

Personalised medicine: Development and external validation of a prognostic model for metastatic melanoma patients treated with ipilimumab.

S Valpione1, C Martinoli2, P Fava3, S Mocellin4, L G Campana5, P Quaglino3, P F Ferrucci2, J Pigozzo6, C Astrua3, A Testori2, V Chiarion-Sileni6.   

Abstract

PURPOSE: The purpose of this study was to set up a prognostic model for the identification of survival predictors specific for melanoma patients treated with ipilimumab. EXPERIMENTAL
DESIGN: The following prospectively collected data were utilised: patient and primary tumour characteristics, relapse-free-interval, site and number of metastases, previous therapies and level of serum biomarkers (lactic dehydrogenase (LDH), C-reactive protein, β2-microglobulin, vascular endothelial growth factor (VEGF), IL2, IL6, S-100, alkaline phosphatase (ALP), transaminases, leucocyte count, lymphocytes subpopulations). A multivariate prognostic model was developed using the Cox regression model fitted to the data of 113 consecutive metastatic patients treated with ipilimumab (3 mg/kg, q3w) at Veneto Institute of Oncology (IOV). External validation was obtained using the data of 69 and 34 patients treated at European Oncology Institute (IEO) and University of Torino (UT), respectively.
RESULTS: Median survival was 8.3, 4.9 and 7.1 months from first ipilimumab administration at IOV, IEO and UT, respectively. Both higher baseline levels of LDH (Hazard Ratio [HR] v=1.36, 95% Confidence Interval [CI] 1.16-1.58, P<.001) and neutrophils (HR=1.76, 95% CI 1.41-2.10, P<.001) were associated with worse prognosis. Model performance was satisfactory both upon internal validation (Dxy=0.42) and external validation (Dxy=0.40). Serum LDH and neutrophil count discriminated patients who lived more (low neutrophils and low LDH) or less (high LDH or neutrophils) than 24 months.
CONCLUSION: Serum LDH and neutrophil count were significant independent prognostic factors. This externally validated prognostic nomogram, could help clinicians to identify the patients who would benefit most from ipilimumab and consequently to improve resource allocation. These easily available biomarkers deserve further validation.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Immunotherapy; Ipilimumab; Metastatic melanoma; Nomogram; Prognostic model

Mesh:

Substances:

Year:  2015        PMID: 26227432     DOI: 10.1016/j.ejca.2015.06.130

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  24 in total

Review 1.  Emerging Tissue and Blood-Based Biomarkers that may Predict Response to Immune Checkpoint Inhibition.

Authors:  Claire F Friedman; Michael A Postow
Journal:  Curr Oncol Rep       Date:  2016-04       Impact factor: 5.075

2.  Tumor-derived microRNAs induce myeloid suppressor cells and predict immunotherapy resistance in melanoma.

Authors:  Veronica Huber; Viviana Vallacchi; Viktor Fleming; Xiaoying Hu; Agata Cova; Matteo Dugo; Eriomina Shahaj; Roberta Sulsenti; Elisabetta Vergani; Paola Filipazzi; Angela De Laurentiis; Luca Lalli; Lorenza Di Guardo; Roberto Patuzzo; Barbara Vergani; Elena Casiraghi; Mara Cossa; Ambra Gualeni; Valentina Bollati; Flavio Arienti; Filippo De Braud; Luigi Mariani; Antonello Villa; Peter Altevogt; Viktor Umansky; Monica Rodolfo; Licia Rivoltini
Journal:  J Clin Invest       Date:  2018-11-05       Impact factor: 14.808

3.  Predictors of response and resistance to checkpoint inhibitors in solid tumors.

Authors:  Sanjana V Rao; Amy E Moran; Julie N Graff
Journal:  Ann Transl Med       Date:  2017-12

4.  Baseline Peripheral Blood Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab.

Authors:  Alexander Martens; Kilian Wistuba-Hamprecht; Marnix Geukes Foppen; Jianda Yuan; Michael A Postow; Phillip Wong; Emanuela Romano; Amir Khammari; Brigitte Dreno; Mariaelena Capone; Paolo A Ascierto; Anna Maria Di Giacomo; Michele Maio; Bastian Schilling; Antje Sucker; Dirk Schadendorf; Jessica C Hassel; Thomas K Eigentler; Peter Martus; Jedd D Wolchok; Christian Blank; Graham Pawelec; Claus Garbe; Benjamin Weide
Journal:  Clin Cancer Res       Date:  2016-01-19       Impact factor: 12.531

5.  Prognostic value of neutrophil-lymphocyte ratio and lactate dehydrogenase in melanoma patients treated with immune checkpoint inhibitors: A systematic review and meta-analysis.

Authors:  Yongchao Zhang; Bozhi Liu; Sergei Kotenko; Wei Li
Journal:  Medicine (Baltimore)       Date:  2022-08-12       Impact factor: 1.817

Review 6.  Emerging Biomarkers in Cutaneous Melanoma.

Authors:  Anna Eisenstein; Estela Chen Gonzalez; Rekha Raghunathan; Xixi Xu; Muzhou Wu; Emily O McLean; Jean McGee; Byungwoo Ryu; Rhoda M Alani
Journal:  Mol Diagn Ther       Date:  2018-04       Impact factor: 4.074

7.  Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab.

Authors:  Tímea Balatoni; Andrea Ladányi; Georgina Fröhlich; Kata Czirbesz; Péter Kovács; Gitta Pánczél; Eszter Bence; Vanda Plótár; Gabriella Liszkay
Journal:  Pathol Oncol Res       Date:  2018-09-17       Impact factor: 3.201

8.  The novel pretreatment immune prognostic index discriminates survival outcomes in locally advanced non-operative esophageal squamous cell carcinoma patients treated with definitive chemoradiotherapy: a 6-year retrospective study.

Authors:  Yilin Yu; Haishan Wu; Jianjian Qiu; Dongmei Ke; Yahua Wu; Mingqiang Lin; Qunhao Zheng; Hongying Zheng; Zhiping Wang; Hui Li; Lingyun Liu; Jiancheng Li; Qiwei Yao
Journal:  Transl Oncol       Date:  2022-04-19       Impact factor: 4.803

9.  Biomarkers for Response of Melanoma Patients to Immune Checkpoint Inhibitors: A Systematic Review.

Authors:  Charissa A C Jessurun; Julien A M Vos; Jacqueline Limpens; Rosalie M Luiten
Journal:  Front Oncol       Date:  2017-09-27       Impact factor: 6.244

10.  The full blood count as a biomarker of outcome and toxicity in ipilimumab-treated cutaneous metastatic melanoma.

Authors:  Leila Khoja; Eshetu G Atenafu; Arnoud Templeton; Ye Qye; Mary Anne Chappell; Sam Saibil; David Hogg; Marcus O Butler; Anthony M Joshua
Journal:  Cancer Med       Date:  2016-09-29       Impact factor: 4.452

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