Literature DB >> 27768639

High cytotoxic T-lymphocyte-associated antigen 4 and phospho-Akt expression in tumor samples predicts poor clinical outcomes in ipilimumab-treated melanoma patients.

Nitin Chakravarti1, Doina Ivan, Van A Trinh, Isabella C Glitza, Jonathan L Curry, Carlos Torres-Cabala, Michael T Tetzlaff, Roland L Bassett, Victor G Prieto, Wen-Jen Hwu.   

Abstract

Ipilimumab, a fully human monoclonal antibody against cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4), is the first immune checkpoint inhibitor approved for the treatment of unresectable melanoma on the basis of its overall survival (OS) benefit. However, ipilimumab is associated with significant immune-related adverse events. We hypothesized that biomarker exploration of pretreatment tumor samples and correlation with clinical outcome would enable patient selection with an increased benefit/risk ratio for ipilimumab therapy. At the University of Texas MD Anderson Cancer Center, a total of 81 advanced melanoma patients were treated on the Ipilimumab Expanded Access Program from 2007 to 2008. Using immunohistochemistry, we analyzed the expression of immune checkpoint (CTLA-4, PD-1, PD-L1) and Akt-pathway proteins in formalin-fixed tumor tissue. Associations between these biomarkers and progression-free survival (PFS) and OS were analyzed with univariate and multivariate Cox proportional-hazards models. There was a significant correlation between high CTLA-4 protein expression levels in tumor cells and risk of death (P=0.02) and decreased PFS (P=0.023). In addition, high expression of CTLA-4 in peritumoral lymphocytes correlated with poor OS (P=0.023). In multivariate analysis, patients with high CTLA-4 and phospho-Akt (p-Akt) expression correlated with poor OS (log-rank test, P=0.039) and PFS (log-rank test, P=0.014). High levels of CTLA-4 and p-Akt expression in pretreatment tumor cells in melanoma patients were associated with poor clinical outcomes. Immunohistochemistry analysis of CTLA-4 and p-Akt in pretreatment tumor samples provides useful biomarkers that may enable improved patient selection for ipilimumab therapy. Prospective clinical studies are warranted to investigate the predictive value of these biomarkers.

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Year:  2017        PMID: 27768639     DOI: 10.1097/CMR.0000000000000305

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  6 in total

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Journal:  Front Oncol       Date:  2022-04-29       Impact factor: 5.738

2.  A meta-analysis of transcriptome datasets characterizes malignant transformation from melanocytes and nevi to melanoma.

Authors:  Daniel Ortega-Bernal; Claudia H González-De La Rosa; Elena Arechaga-Ocampo; Miguel Angel Alvarez-Avitia; Nora Sobrevilla Moreno; Claudia Rangel-Escareño
Journal:  Oncol Lett       Date:  2018-05-31       Impact factor: 2.967

Review 3.  Cancer Immune Checkpoint Inhibitor Therapy and the Gut Microbiota.

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Journal:  Integr Cancer Ther       Date:  2019 Jan-Dec       Impact factor: 3.279

4.  PD-L1 Status in Gastric Cancers, Association with the Transcriptional, Growth Factors, AKT/mTOR Components Change, and Autophagy Initiation.

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Review 5.  From Melanoma Development to RNA-Modified Dendritic Cell Vaccines: Highlighting the Lessons From the Past.

Authors:  Mahdi Abdoli Shadbad; Khalil Hajiasgharzadeh; Afshin Derakhshani; Nicola Silvestris; Amir Baghbanzadeh; Vito Racanelli; Behzad Baradaran
Journal:  Front Immunol       Date:  2021-02-22       Impact factor: 7.561

6.  CTLA-4 Synergizes With PD1/PD-L1 in the Inhibitory Tumor Microenvironment of Intrahepatic Cholangiocarcinoma.

Authors:  Xiao-Jun Guo; Jia-Cheng Lu; Hai-Ying Zeng; Rong Zhou; Qi-Man Sun; Guo-Huan Yang; Yan-Zi Pei; Xian-Long Meng; Ying-Hao Shen; Peng-Fei Zhang; Jia-Bin Cai; Pei-Xin Huang; Ai-Wu Ke; Ying-Hong Shi; Jian Zhou; Jia Fan; Yi Chen; Liu-Xiao Yang; Guo-Ming Shi; Xiao-Yong Huang
Journal:  Front Immunol       Date:  2021-08-30       Impact factor: 7.561

  6 in total

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