197P - Data mining cytokines profile for prognosis in advanced non-small cell lung cancer

Date 28 September 2014
Event ESMO 2014
Session Poster Display session
Topics Non-Small-Cell Lung Cancer, Metastatic
Cancer Immunology and Immunotherapy
Translational Research
Presenter Lourdes Barrera
Citation Annals of Oncology (2014) 25 (suppl_4): iv58-iv84. 10.1093/annonc/mdu326
Authors L. Barrera1, O. Arrieta2, E. Montes-Servín3, L.A. Ramírez-Tirado2, J.L. Bañales-Mendez3, F. Salinas-Parra1
  • 1Integrative Immunology, Instituto Nacional De Enfermedades Respiratorias, 14080 - Mexico City/MX
  • 2Thoracic Oncology Unit, Instituto Nacional de Cancerologia, 14000 - Mexico City/MX
  • 3Integrative Immunology, National Institute of Respiratory Diseases, 14080 - Mexico City/MX

Abstract

Aim

Inmunoregulatory cytokines may play a fundamental role in tumor growth and metastases. Since the control of cytokine production is highly complex and multifactorial, their effects are mediated through multiple regulatory networks. This indicates that the definition and evaluation of a human cytokine profile represents an important future tool to analyze the interaction network of cytokines and thus identify patients' subgroups with different prognosis and also new potential biomarkers in therapeutic strategies particularly in immunotherapy approach.The aim of this study was to assess the clinical usefulness of data mining profile of multiple cytokines in advance Non-Small Cell Lung Cancer (NSCLC).

Methods

We conducted a prospective analysis of 15 inmunoregulatory cytokines plasma levels by ELISA and Cytometric Bead Array Assay of 110 NSCLC patients and 25 control subjects. Cytokine levels as well as data mining profiles were associated with clinical, pathological and prognostic characteristics.

Results

NSCLC patients had higher levels of IL6, IL-18, IL-12p70, IL-17A and IFN-g and lower levels of IL-33 and IL-29 compared to controls. Pro-inflammatory cytokines such as IL-1b, IL-6 and IL-8 were associated with lower hemoglobin levels, worse performance status (ECOG), fatigue and hyporexia. Anti- inflammatory cytokines such as IL-4, IL-10 y IL-33 was associated with anorexia and lower body mass index. A 10-fold cross-validation EM algorithm found three clusters of patients regarding the plasma levels of cytokines levels without clinical differences between them.

Conclusions

Our results provide evidence that cytokines profiles may identify patients' subgroups with poor prognosis. Data mining clusters may play a role in the physiopathology of NSCLC and as a potential multiple biomarkers and targeted immunotherapy.

Disclosure

All authors have declared no conflicts of interest.