Literature DB >> 26787752

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

Alexander Martens1, Kilian Wistuba-Hamprecht1, Marnix Geukes Foppen2, Jianda Yuan3, Michael A Postow4, Phillip Wong3, Emanuela Romano5, Amir Khammari6, Brigitte Dreno6, Mariaelena Capone7, Paolo A Ascierto7, Anna Maria Di Giacomo8, Michele Maio8, Bastian Schilling9, Antje Sucker9, Dirk Schadendorf9, Jessica C Hassel10, Thomas K Eigentler11, Peter Martus12, Jedd D Wolchok4, Christian Blank2, Graham Pawelec13, Claus Garbe11, Benjamin Weide14.   

Abstract

PURPOSE: To identify baseline peripheral blood biomarkers associated with clinical outcome following ipilimumab treatment in advanced melanoma patients. EXPERIMENTAL
DESIGN: Frequencies of myeloid-derived suppressor cells (MDSC) and regulatory T cells (Treg), serum lactate dehydrogenase (LDH), routine blood counts, and clinical characteristics were assessed in 209 patients. Endpoints were overall survival (OS) and best overall response. Statistical calculations were done by Kaplan-Meier and Cox regression analysis, including calibration and discrimination by C-statistics.
RESULTS: Low baseline LDH, absolute monocyte counts (AMC), Lin(-)CD14(+)HLA-DR(-/low)-MDSC frequencies, and high absolute eosinophil counts (AEC), relative lymphocyte counts (RLC), and CD4(+)CD25(+)FoxP3(+)-Treg frequencies were significantly associated with better survival, and were considered in a combination model. Patients (43.5%) presenting with the best biomarker signature had a 30% response rate and median survival of 16 months. In contrast, patients with the worst biomarkers (27.5%) had only a 3% response rate and median survival of 4 months. The occurrence of adverse events correlated with neither baseline biomarker signatures nor the clinical benefit of ipilimumab. In another model, limited to the routine parameters LDH, AMC, AEC, and RLC, the number of favorable factors (4 vs. 3 vs. 2-0) was also associated with OS (P < 0.001 for all pairwise comparisons) in the main study and additionally in an independent validation cohort.
CONCLUSIONS: A baseline signature of low LDH, AMC, and MDSCs as well as high AEC, Tregs, and RLC is associated with favorable outcome following ipilimumab. Prospective investigation of the predictive impact of these markers following ipilimumab and other treatments, e.g., PD-1 antibodies, is warranted. Clin Cancer Res; 22(12); 2908-18. ©2016 AACR. ©2016 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 26787752      PMCID: PMC5770142          DOI: 10.1158/1078-0432.CCR-15-2412

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


  48 in total

1.  Improved overall survival in melanoma with combined dabrafenib and trametinib.

Authors:  Caroline Robert; Boguslawa Karaszewska; Jacob Schachter; Piotr Rutkowski; Andrzej Mackiewicz; Daniil Stroiakovski; Michael Lichinitser; Reinhard Dummer; Florent Grange; Laurent Mortier; Vanna Chiarion-Sileni; Kamil Drucis; Ivana Krajsova; Axel Hauschild; Paul Lorigan; Pascal Wolter; Georgina V Long; Keith Flaherty; Paul Nathan; Antoni Ribas; Anne-Marie Martin; Peng Sun; Wendy Crist; Jeff Legos; Stephen D Rubin; Shonda M Little; Dirk Schadendorf
Journal:  N Engl J Med       Date:  2014-11-16       Impact factor: 91.245

2.  Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.

Authors:  Douglas G Altman; Lisa M McShane; Willi Sauerbrei; Sheila E Taube
Journal:  PLoS Med       Date:  2012-05-29       Impact factor: 11.069

Review 3.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

4.  Computational algorithm-driven evaluation of monocytic myeloid-derived suppressor cell frequency for prediction of clinical outcomes.

Authors:  Shigehisa Kitano; Michael A Postow; Carly G K Ziegler; Deborah Kuk; Katherine S Panageas; Czrina Cortez; Teresa Rasalan; Mathew Adamow; Jianda Yuan; Philip Wong; Gregoire Altan-Bonnet; Jedd D Wolchok; Alexander M Lesokhin
Journal:  Cancer Immunol Res       Date:  2014-05-20       Impact factor: 11.151

5.  Myeloid-derived suppressor cell measurements in fresh and cryopreserved blood samples.

Authors:  Athanasios Kotsakis; Malgorzata Harasymczuk; Bastian Schilling; Vasilis Georgoulias; Athanassios Argiris; Theresa L Whiteside
Journal:  J Immunol Methods       Date:  2012-04-13       Impact factor: 2.303

6.  Prognostic factors related to clinical response in patients with metastatic melanoma treated by CTL-associated antigen-4 blockade.

Authors:  Stephanie G Downey; Jacob A Klapper; Franz O Smith; James C Yang; Richard M Sherry; Richard E Royal; Udai S Kammula; Marybeth S Hughes; Tamika E Allen; Catherine L Levy; Michael Yellin; Geoffrey Nichol; Donald E White; Seth M Steinberg; Steven A Rosenberg
Journal:  Clin Cancer Res       Date:  2007-11-02       Impact factor: 12.531

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

Authors:  S Valpione; C Martinoli; P Fava; S Mocellin; L G Campana; P Quaglino; P F Ferrucci; J Pigozzo; C Astrua; A Testori; V Chiarion-Sileni
Journal:  Eur J Cancer       Date:  2015-07-27       Impact factor: 9.162

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
Journal:  Lancet       Date:  2014-07-15       Impact factor: 79.321

9.  Elevated neutrophil and monocyte counts in peripheral blood are associated with poor survival in patients with metastatic melanoma: a prognostic model.

Authors:  H Schmidt; L Bastholt; P Geertsen; I J Christensen; S Larsen; J Gehl; H von der Maase
Journal:  Br J Cancer       Date:  2005-08-08       Impact factor: 7.640

10.  Immune monitoring of the circulation and the tumor microenvironment in patients with regionally advanced melanoma receiving neoadjuvant ipilimumab.

Authors:  Ahmad A Tarhini; Howard Edington; Lisa H Butterfield; Yan Lin; Yongli Shuai; Hussein Tawbi; Cindy Sander; Yan Yin; Matthew Holtzman; Jonas Johnson; Uma N M Rao; John M Kirkwood
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

View more
  215 in total

1.  SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery.

Authors:  Siwen Hu-Lieskovan; Srabani Bhaumik; Kavita Dhodapkar; Jean-Charles J B Grivel; Sumati Gupta; Brent A Hanks; Sylvia Janetzki; Thomas O Kleen; Yoshinobu Koguchi; Amanda W Lund; Cristina Maccalli; Yolanda D Mahnke; Ruslan D Novosiadly; Senthamil R Selvan; Tasha Sims; Yingdong Zhao; Holden T Maecker
Journal:  J Immunother Cancer       Date:  2020-12       Impact factor: 13.751

2.  A randomized, double-blind, phase III trial of personalized peptide vaccination for recurrent glioblastoma.

Authors:  Yoshitaka Narita; Yoshiki Arakawa; Fumiyuki Yamasaki; Ryo Nishikawa; Tomokazu Aoki; Masayuki Kanamori; Motoo Nagane; Toshihiro Kumabe; Yuichi Hirose; Tomotsugu Ichikawa; Hiroyuki Kobayashi; Takamitsu Fujimaki; Hisaharu Goto; Hideo Takeshima; Tetsuya Ueba; Hiroshi Abe; Takashi Tamiya; Yukihiko Sonoda; Atsushi Natsume; Tatsuyuki Kakuma; Yasuo Sugita; Nobukazu Komatsu; Akira Yamada; Tetsuro Sasada; Satoko Matsueda; Shigeki Shichijo; Kyogo Itoh; Mizuhiko Terasaki
Journal:  Neuro Oncol       Date:  2019-02-19       Impact factor: 12.300

3.  Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab.

Authors:  Alexander Martens; Kilian Wistuba-Hamprecht; Jianda Yuan; Michael A Postow; Phillip Wong; Mariaelena Capone; Gabriele Madonna; Amir Khammari; Bastian Schilling; Antje Sucker; Dirk Schadendorf; Peter Martus; Brigitte Dreno; Paolo A Ascierto; Jedd D Wolchok; Graham Pawelec; Claus Garbe; Benjamin Weide
Journal:  Clin Cancer Res       Date:  2016-05-11       Impact factor: 12.531

Review 4.  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

5.  Nivolumab and ipilimumab are associated with distinct immune landscape changes and response-associated immunophenotypes.

Authors:  David M Woods; Andressa S Laino; Aidan Winters; Jason Alexandre; Daniel Freeman; Vinay Rao; Santi S Adavani; Jeffery S Weber; Pratip K Chattopadhyay
Journal:  JCI Insight       Date:  2020-06-04

6.  Twelve-year survival and immune correlates in dendritic cell-vaccinated melanoma patients.

Authors:  Stefanie Gross; Michael Erdmann; Ina Haendle; Steve Voland; Thomas Berger; Erwin Schultz; Erwin Strasser; Peter Dankerl; Rolf Janka; Stefan Schliep; Lucie Heinzerling; Karl Sotlar; Pierre Coulie; Gerold Schuler; Beatrice Schuler-Thurner
Journal:  JCI Insight       Date:  2017-04-20

Review 7.  The role of automated cytometry in the new era of cancer immunotherapy.

Authors:  Marco Danova; Martina Torchio; Giuditta Comolli; Andrea Sbrana; Andrea Antonuzzo; Giuliano Mazzini
Journal:  Mol Clin Oncol       Date:  2018-08-20

Review 8.  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
Journal:  Eur Urol       Date:  2018-09-28       Impact factor: 20.096

Review 9.  Prognostic role of pretreatment circulating MDSCs in patients with solid malignancies: A meta-analysis of 40 studies.

Authors:  Peng-Fei Wang; Si-Ying Song; Ting-Jian Wang; Wen-Jun Ji; Shou-Wei Li; Ning Liu; Chang-Xiang Yan
Journal:  Oncoimmunology       Date:  2018-07-30       Impact factor: 8.110

Review 10.  Predictive factors of response to immunotherapy-a review from the Spanish Melanoma Group (GEM).

Authors:  Enrique Espinosa; Ivan Márquez-Rodas; Ainara Soria; Alfonso Berrocal; Jose Luis Manzano; Maria Gonzalez-Cao; Salvador Martin-Algarra
Journal:  Ann Transl Med       Date:  2017-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.