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Prognostic biomarkers in non-small cell lung cancer: identification of potential therapeutic targets

Grant number: 11/13213-7
Support type:Regular Research Grants
Duration: October 01, 2011 - November 30, 2013
Field of knowledge:Health Sciences - Medicine - Surgery
Principal Investigator:Patricia Pintor dos Reis
Grantee:Patricia Pintor dos Reis
Home Institution: Faculdade de Medicina (FMB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
Assoc. researchers:Antônio José Maria Cataneo ; Daniele Cristina Cataneo ; Fernando Augusto Soares ; Jefferson Luiz Gross ; Julio Defaveri ; Silvia Regina Rogatto

Abstract

Lung cancer is the most common cancer and the main cause of cancer death worldwide. Incidence data in Brazil estimates 27,630 new lung cancer cases in 2011, and this disease leads to over 13,000 deaths, every year (INCA, 2011). Although the available treatment strategies, patient prognosis is poor and high mortality rates related to this disease are observed. In addition, the development of molecularly-targeted therapies, such as epidermal growth factor receptor (EGFR) inhibitors, benefits only a small fraction of patients with non-small cell lung cancer (NSCLC), the most common histological type of this cancer. Therefore, it is justified to perform global molecular studies that can lead to the identification of biomarkers with prognostic and predictive value in this disease. Considering that the identification of biomarkers has potential application in the development of therapies with genetic targets, such studies will have great impact in treatment and, consequently, in the survival of patients with lung carcinoma. The main objective of this study is to identify mutations and transcriptome alterations, using next-generation sequencing methodology, which is able to generate large-scale genomic data. Mutations and gene expression alterations identified will be validated at the mRNA and protein level, in two independent patient cohorts. Results from this study will allow us to perform a global comprehensive analysis of these genomic alterations and the identification of a prognostic signature in NSCLC. Studies such as these are crucial for the identification of biomarkers as potential therapeutic targets in NSCLC. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SOUZA, CRISTIANO P.; CINEGAGLIA, NAIARA C.; FELIX, TAINARA F.; EVANGELISTA, ADRIANE F.; OLIVEIRA, ROGERIO A.; HASIMOTO, ERICA N.; CATANEO, DANIELE C.; CATANEO, ANTONIO J. M.; SCAPULATEMPO NETO, CRISTOVAM; VIANA, CRISTIANO R.; DE PAULA, FLAVIA E.; DRIGO, SANDRA A.; CARVALHO, ROBSON F.; MARQUES, MARCIA M. C.; REIS, RUI M.; REIS, PATRICIA P. Deregulated microRNAs Are Associated with Patient Survival and Predicted to Target Genes That Modulate Lung Cancer Signaling Pathways. CANCERS, v. 12, n. 9 SEP 2020. Web of Science Citations: 0.
STORTI, CAMILA BALDIN; DE OLIVEIRA, ROGERIO ANTONIO; DE CARVALHO, MARCIO; HASIMOTO, ERICA NISHIDA; CATANEO, DANIELE CRISTINA; MARIA CATANEO, ANTONIO JOSE; DE FAVERI, JULIO; VASCONCELOS, ELTON JOSE R.; DOS REIS, PATRICIA PINTOR; NOGUEIRA CANO, MARIA ISABEL. Telomere-associated genes and telomeric lncRNAs are biomarker candidates in lung squamous cell carcinoma (LUSC). Experimental and Molecular Pathology, v. 112, FEB 2020. Web of Science Citations: 0.
CINEGAGLIA, NAIARA C.; ANDRADE, SONIA CRISTINA S.; TOKAR, TOMAS; PINHEIRO, MAISA; SEVERINO, FABIO E.; OLIVEIRA, ROGERIO A.; HASIMOTO, ERICA N.; CATANEO, DANIELE C.; CATANEO, ANTONIO J. M.; DEFAVERI, JULIO; SOUZA, CRISTIANO P.; MARQUES, MARCIA M. C.; CARVALHO, ROBSON F.; COUTINHO, LUIZ L.; GROSS, JEFFERSON L.; ROGATTO, SILVIA R.; LAM, WAN L.; JURISICA, IGOR; REIS, PATRICIA P. Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma. ONCOTARGET, v. 7, n. 20, p. 28920-28934, MAY 17 2016. Web of Science Citations: 28.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.