Literature DB >> 26627641

Serum Immunoregulatory Proteins as Predictors of Overall Survival of Metastatic Melanoma Patients Treated with Ipilimumab.

Yoshinobu Koguchi1, Helena M Hoen1, Shelly A Bambina1, Michael D Rynning2, Richard K Fuerstenberg2, Brendan D Curti1, Walter J Urba1, Christina Milburn3, Frances Rena Bahjat3, Alan J Korman3, Keith S Bahjat4.   

Abstract

Treatment with ipilimumab improves overall survival (OS) in patients with metastatic melanoma. Because ipilimumab targets T lymphocytes and not the tumor itself, efficacy may be uniquely sensitive to immunomodulatory factors present at the time of treatment. We analyzed serum from patients with metastatic melanoma (247 of 273, 90.4%) randomly assigned to receive ipilimumab or gp100 peptide vaccine. We quantified candidate biomarkers at baseline and assessed the association of each using multivariate analyses. Results were confirmed in an independent cohort of similar patients (48 of 52, 92.3%) treated with ipilimumab. After controlling for baseline covariates, elevated chemokine (C-X-C motif) ligand 11 (CXCL11) and soluble MHC class I polypeptide-related chain A (sMICA) were associated with poor OS in ipilimumab-treated patients [log10 CXCL11: HR, 1.88; 95% confidence interval (CI), 1.14-3.12; P = 0.014; and log10 sMICA quadratic effect P = 0.066; sMICA (≥ 247 vs. 247): HR, 1.75; 95% CI, 1.02-3.01]. Multivariate analysis of an independent ipilimumab-treated cohort confirmed the association between log10 CXCL11 and OS (HR, 3.18; 95% CI, 1.13-8.95; P = 0.029), whereas sMICA was less strongly associated with OS [log10 sMICA quadratic effect P = 0.16; sMICA (≥ 247 vs. 247): HR, 1.48; 95% CI, 0.67-3.27]. High baseline CXCL11 and sMICA were associated with poor OS in patients with metastatic melanoma after ipilimumab treatment but not vaccine treatment. Thus, pretreatment CXCL11 and sMICA may represent predictors of survival benefit after ipilimumab treatment as well as therapeutic targets. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26627641     DOI: 10.1158/0008-5472.CAN-15-2303

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  23 in total

Review 1.  Immunoplasticity in cutaneous melanoma: beyond pure morphology.

Authors:  Francesca Maria Bosisio; Joost J van den Oord
Journal:  Virchows Arch       Date:  2017-01-05       Impact factor: 4.064

2.  Ipilimumab for Patients with Relapse after Allogeneic Transplantation.

Authors:  Matthew S Davids; Haesook T Kim; Pavan Bachireddy; Caitlin Costello; Rebecca Liguori; Alexandra Savell; Alexander P Lukez; David Avigan; Yi-Bin Chen; Peter McSweeney; Nicole R LeBoeuf; Michael S Rooney; Michaela Bowden; Chensheng W Zhou; Scott R Granter; Jason L Hornick; Scott J Rodig; Masahiro Hirakawa; Mariano Severgnini; F Stephen Hodi; Catherine J Wu; Vincent T Ho; Corey Cutler; John Koreth; Edwin P Alyea; Joseph H Antin; Philippe Armand; Howard Streicher; Edward D Ball; Jerome Ritz; Asad Bashey; Robert J Soiffer
Journal:  N Engl J Med       Date:  2016-07-14       Impact factor: 91.245

Review 3.  Immune biomarkers for prognosis and prediction of responses to immune checkpoint blockade in cutaneous melanoma.

Authors:  Nicolas Jacquelot; Jonathan M Pitt; David P Enot; Maria Paula Roberti; Connie P M Duong; Sylvie Rusakiewicz; Alexander M Eggermont; Laurence Zitvogel
Journal:  Oncoimmunology       Date:  2017-03-07       Impact factor: 8.110

Review 4.  Emerging biomarkers for the combination of radiotherapy and immune checkpoint blockers.

Authors:  Claire Lhuillier; Claire Vanpouille-Box; Lorenzo Galluzzi; Silvia Chiara Formenti; Sandra Demaria
Journal:  Semin Cancer Biol       Date:  2017-12-16       Impact factor: 15.707

5.  Discovery of specialized NK cell populations infiltrating human melanoma metastases.

Authors:  Lucas Ferrari de Andrade; Yuheng Lu; Adrienne Luoma; Yoshinaga Ito; Deng Pan; Jason W Pyrdol; Charles H Yoon; Guo-Cheng Yuan; Kai W Wucherpfennig
Journal:  JCI Insight       Date:  2019-12-05

Review 6.  Circulating biomarkers predictive of tumor response to cancer immunotherapy.

Authors:  Ernest Y Lee; Rajan P Kulkarni
Journal:  Expert Rev Mol Diagn       Date:  2019-09-10       Impact factor: 5.225

Review 7.  Clinical correlates for immune checkpoint therapy: significance for CNS malignancies.

Authors:  Nivedita M Ratnam; Stephen C Frederico; Javier A Gonzalez; Mark R Gilbert
Journal:  Neurooncol Adv       Date:  2020-11-27

Review 8.  Modulation of the chemokine/chemokine receptor axis as a novel approach for glioma therapy.

Authors:  Gregory P Takacs; Joseph A Flores-Toro; Jeffrey K Harrison
Journal:  Pharmacol Ther       Date:  2020-12-11       Impact factor: 12.310

9.  Prognostic value of MICA/B in cancers: a systematic review and meta-analysis.

Authors:  Yijing Zhao; Naifei Chen; Yu Yu; Lili Zhou; Chao Niu; Yudi Liu; Huimin Tian; Zheng Lv; Fujun Han; Jiuwei Cui
Journal:  Oncotarget       Date:  2017-10-03

10.  LINC01149 variant modulates MICA expression that facilitates hepatitis B virus spontaneous recovery but increases hepatocellular carcinoma risk.

Authors:  Rong Zhong; Jianbo Tian; Mingpeng Fu; Simin Ma; Li Liu; Jiaoyuan Li; Na Shen; Juntao Ke; Yang Yang; Yajie Gong; Ying Zhu; Ying Wang; Jing Gong; Jiang Chang; Ping Lei; Xiang Cheng; Kun Huang; Guanxin Shen; Xiaoping Miao
Journal:  Oncogene       Date:  2019-11-21       Impact factor: 9.867

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