Literature DB >> 27185375

Baseline Biomarkers for Outcome of Melanoma Patients Treated with Pembrolizumab.

Benjamin Weide1,2, Alexander Martens3, Jessica C Hassel4,5, Carola Berking5,6, Michael A Postow7,8, Kees Bisschop9, Ester Simeone10, Johanna Mangana11, Bastian Schilling5,12, Anna Maria Di Giacomo13, Nicole Brenner14, Katharina Kähler15, Lucie Heinzerling16, Ralf Gutzmer17, Armin Bender18, Christoffer Gebhardt5,19,20, Emanuela Romano21, Friedegund Meier5,22, Peter Martus23, Michele Maio13, Christian Blank24, Dirk Schadendorf5,12, Reinhard Dummer11, Paolo A Ascierto10, Geke Hospers9, Claus Garbe3,5, Jedd D Wolchok7,8.   

Abstract

PURPOSE: Biomarkers for outcome after immune-checkpoint blockade are strongly needed as these may influence individual treatment selection or sequence. We aimed to identify baseline factors associated with overall survival (OS) after pembrolizumab treatment in melanoma patients. EXPERIMENTAL
DESIGN: Serum lactate dehydrogenase (LDH), routine blood count parameters, and clinical characteristics were investigated in 616 patients. Endpoints were OS and best overall response following pembrolizumab treatment. Kaplan-Meier analysis and Cox regression were applied for survival analysis.
RESULTS: Relative eosinophil count (REC) ≥1.5%, relative lymphocyte count (RLC) ≥17.5%, ≤2.5-fold elevation of LDH, and the absence of metastasis other than soft-tissue/lung were associated with favorable OS in the discovery (n = 177) and the confirmation (n = 182) cohort and had independent positive impact (all P < 0.001). Their independent role was subsequently confirmed in the validation cohort (n = 257; all P < 0.01). The number of favorable factors was strongly associated with prognosis. One-year OS probabilities of 83.9% versus 14.7% and response rates of 58.3% versus 3.3% were observed in patients with four of four compared to those with none of four favorable baseline factors present, respectively.
CONCLUSIONS: High REC and RLC, low LDH, and absence of metastasis other than soft-tissue/lung are independent baseline characteristics associated with favorable OS of patients with melanoma treated with pembrolizumab. Presence of four favorable factors in combination identifies a subgroup with excellent prognosis. In contrast, patients with no favorable factors present have a poor prognosis, despite pembrolizumab, and additional treatment advances are still needed. A potential predictive impact needs to be further investigated. Clin Cancer Res; 22(22); 5487-96. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27185375      PMCID: PMC5572569          DOI: 10.1158/1078-0432.CCR-16-0127

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  34 in total

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2.  Lactate dehydrogenase as a selection criterion for ipilimumab treatment in metastatic melanoma.

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Journal:  Cancer Immunol Immunother       Date:  2014-03-08       Impact factor: 6.968

3.  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

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Authors:  Benjamin Weide; Henning Zelba; Evelyna Derhovanessian; Annette Pflugfelder; Thomas K Eigentler; Anna Maria Di Giacomo; Michele Maio; Erik H J G Aarntzen; I Jolanda M de Vries; Antje Sucker; Dirk Schadendorf; Petra Büttner; Claus Garbe; Graham Pawelec
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Journal:  Science       Date:  2015-03-12       Impact factor: 47.728

7.  Eosinophils orchestrate cancer rejection by normalizing tumor vessels and enhancing infiltration of CD8(+) T cells.

Authors:  Rafael Carretero; Ibrahim M Sektioglu; Natalio Garbi; Oscar C Salgado; Philipp Beckhove; Günter J Hämmerling
Journal:  Nat Immunol       Date:  2015-04-27       Impact factor: 25.606

8.  Anti-programmed-death-receptor-1 treatment with pembrolizumab in ipilimumab-refractory advanced melanoma: a randomised dose-comparison cohort of a phase 1 trial.

Authors:  Caroline Robert; Antoni Ribas; Jedd D Wolchok; F Stephen Hodi; Omid Hamid; Richard Kefford; Jeffrey S Weber; Anthony M Joshua; Wen-Jen Hwu; Tara C Gangadhar; Amita Patnaik; Roxana Dronca; Hassane Zarour; Richard W Joseph; Peter Boasberg; Bartosz Chmielowski; Christine Mateus; Michael A Postow; Kevin Gergich; Jeroen Elassaiss-Schaap; Xiaoyun Nicole Li; Robert Iannone; Scot W Ebbinghaus; S Peter Kang; Adil Daud
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Authors:  Paul C Tumeh; Christina L Harview; Jennifer H Yearley; I Peter Shintaku; Emma J M Taylor; Lidia Robert; Bartosz Chmielowski; Marko Spasic; Gina Henry; Voicu Ciobanu; Alisha N West; Manuel Carmona; Christine Kivork; Elizabeth Seja; Grace Cherry; Antonio J Gutierrez; Tristan R Grogan; Christine Mateus; Gorana Tomasic; John A Glaspy; Ryan O Emerson; Harlan Robins; Robert H Pierce; David A Elashoff; Caroline Robert; Antoni Ribas
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10.  Serum lactate dehydrogenase as an early marker for outcome in patients treated with anti-PD-1 therapy in metastatic melanoma.

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Journal:  Br J Cancer       Date:  2016-01-21       Impact factor: 7.640

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  213 in total

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Authors:  Marieke F Fransen; Mark Schoonderwoerd; Philipp Knopf; Marcel Gm Camps; Lukas Jac Hawinkels; Manfred Kneilling; Thorbald van Hall; Ferry Ossendorp
Journal:  JCI Insight       Date:  2018-12-06

Review 2.  Perspective on immune oncology with liquid biopsy, peripheral blood mononuclear cells, and microbiome with non-invasive biomarkers in cancer patients.

Authors:  A Mitsuhashi; Y Okuma
Journal:  Clin Transl Oncol       Date:  2018-01-08       Impact factor: 3.405

Review 3.  Predictive biomarkers for checkpoint inhibitor-based immunotherapy.

Authors:  Geoffrey T Gibney; Louis M Weiner; Michael B Atkins
Journal:  Lancet Oncol       Date:  2016-12       Impact factor: 41.316

4.  Impact of 18F-FDG-PET/CT on surgical management in patients with advanced melanoma: an outcome based analysis.

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5.  Prospective Analysis of Adoptive TIL Therapy in Patients with Metastatic Melanoma: Response, Impact of Anti-CTLA4, and Biomarkers to Predict Clinical Outcome.

Authors:  Marie-Andrée Forget; Cara Haymaker; Kenneth R Hess; Yuzhong Jeff Meng; Caitlin Creasy; Tatiana Karpinets; Orenthial J Fulbright; Jason Roszik; Scott E Woodman; Young Uk Kim; Donastas Sakellariou-Thompson; Ankit Bhatta; Arely Wahl; Esteban Flores; Shawne T Thorsen; René J Tavera; Renjith Ramachandran; Audrey M Gonzalez; Christopher L Toth; Seth Wardell; Rahmatu Mansaray; Vruti Patel; Destiny Joy Carpio; Carol Vaughn; Chantell M Farinas; Portia G Velasquez; Wen-Jen Hwu; Sapna P Patel; Michael A Davies; Adi Diab; Isabella C Glitza; Hussein Tawbi; Michael K Wong; Suzanne Cain; Merrick I Ross; Jeffrey E Lee; Jeffrey E Gershenwald; Anthony Lucci; Richard Royal; Janice N Cormier; Jennifer A Wargo; Laszlo G Radvanyi; Carlos A Torres-Cabala; Rameen Beroukhim; Patrick Hwu; Rodabe N Amaria; Chantale Bernatchez
Journal:  Clin Cancer Res       Date:  2018-05-30       Impact factor: 12.531

6.  IL-15, TIM-3 and NK cells subsets predict responsiveness to anti-CTLA-4 treatment in melanoma patients.

Authors:  Rossana Tallerico; Costanza M Cristiani; Elina Staaf; Cinzia Garofalo; Rosa Sottile; Mariaelena Capone; Yago Pico de Coaña; Gabriele Madonna; Eleonora Palella; Maria Wolodarski; Valentina Carannante; Domenico Mallardo; Ester Simeone; Antonio M Grimaldi; Sofia Johansson; Paolo Frumento; Elio Gulletta; Andrea Anichini; Francesco Colucci; Gennaro Ciliberto; Rolf Kiessling; Klas Kärre; Paolo A Ascierto; Ennio Carbone
Journal:  Oncoimmunology       Date:  2016-12-07       Impact factor: 8.110

7.  Clinicopathological Features, Staging, and Current Approaches to Treatment in High-Risk Resectable Melanoma.

Authors:  Emily Z Keung; Jeffrey E Gershenwald
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8.  Impact of concomitant medication use and immune-related adverse events on response to immune checkpoint inhibitors.

Authors:  Shipra Gandhi; Manu Pandey; Nischala Ammannagari; Chong Wang; Mark J Bucsek; Lamya Hamad; Elizabeth Repasky; Marc S Ernstoff
Journal:  Immunotherapy       Date:  2020-02-17       Impact factor: 4.196

Review 9.  The Cancer Immunogram as a Framework for Personalized Immunotherapy in Urothelial Cancer.

Authors:  Nick van Dijk; Samuel A Funt; Christian U Blank; Thomas Powles; Jonathan E Rosenberg; Michiel S van der Heijden
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Review 10.  Predictive factors of response to immunotherapy-a review from the Spanish Melanoma Group (GEM).

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Journal:  Ann Transl Med       Date:  2017-10
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