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Validation of cofilin-1 as a biomarker in non-small cell lung cancer: application of quantitative method in a retrospective cohort
Authors:Carolina B M��ller  Rafael L S de Barros  Mauro A A Castro  Fernanda M Lopes  Rosalva T Meurer  Adriana Roehe  Guilherme Mazzini  Jane Maria Ulbrich-kulczynski  Felipe Dal-Pizzol  Marilda C Fernandes  Jos�� C F Moreira  L��der L Xavier  F��bio Klamt
Institution:Department of Biochemistry, ICBS/Federal University of Rio Grande do Sul (UFRGS), 2600 Ramiro Barcelos St., Porto Alegre, 90035-003, Brazil.
Abstract:

Purpose

Cofilin is a cytoskeletal protein whose overexpression has been associated with aggressiveness in several types of malignancies. Here, we established and optimized a simple semi-quantitative immunohistochemistry (SQ-IHC) method for cofilin quantification in tumor biopsies, and applied it in a retrospective cohort of NSCLC patients aiming at validating the use of cofilin-1 as a prognostic biomarker.

Methods

The SQ-IHC method for cofilin-1 quantification was established and applied in a NSCLC cohort. An archival collection of biopsies from 50 patients with clinicopathological information and 5?years follow-up was accessed. Association between cofilin-1 immunocontent and clinical outcome was assessed using standard Kaplan?CMeier mortality curves and the log-rank test. To evaluate the robustness of our findings, three different partitional clustering strategies were used to stratify patients into two groups according to the biomarker expression level (hierarchical clustering, Kmeans and median cutoff).

Results

In all the three different partitional clustering we used, survival analysis showed that patient with high cofilin-1 immunocontent had a lower overall survival rate (P?Conclusions Our method showed good sensitivity/specificity to indicate the outcome of patients according to their cofilin immunocontent in biological samples. Its application in a retrospective cohort and the results presented here are an important step toward the validation process of cofilin-1 as a prognostic biomarker.
Keywords:
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