PURPOSE: The aim of this study was to evaluate the prevalence and the clinical significance of HIN-1 mRNA expression in early stage non-small cell lung carcinomas (NSCLCs). EXPERIMENTAL DESIGN: A series of 91 NSCLC patients with stage I neoplastic disease was studied. HIN-1 expression was investigated by quantitative real-time reverse transcription-PCR on tumor specimens and matching normal lung tissues. Variables were analyzed by chi(2) test and Fisher's exact tests. Survival was evaluated with the method of Kaplan-Meier. Multivariate analysis was performed with Cox's proportional hazards model. RESULTS: Seventy one (78%) tumors showed a reduction of HIN-1 mRNA compared with the normal counterpart. The range of reduction varied greatly, from -2-fold to -3350-fold. Setting a cutoff at -46-fold (median value of HIN-1 mRNA reduction), 46 cases (51%) had a markedly reduced expression, and 45 cases (49%) showed a normal or slightly reduced expression. A statistically significant association between low HIN-1 mRNA levels and T status was observed (P = 0.036). Univariate survival curves, estimated using the method of Kaplan-Meier, defined a significant association between HIN-1 expression and both overall survival (P = 0.0095) and disease-free survival (P = 0.0122). A multivariate analysis, performed by Cox's proportional hazards regression model, confirmed that a low HIN-1 expression was the only significant factor to predict poor prognosis. CONCLUSIONS: Our data indicate that HIN-1 expression, measured by real-time reverse transcription-PCR, is a possible prognostic factor in patients with stage I NSCLC. Additional studies are required to further validate this potential prognostic marker.
PURPOSE: The aim of this study was to evaluate the prevalence and the clinical significance of HIN-1 mRNA expression in early stage non-small cell lung carcinomas (NSCLCs). EXPERIMENTAL DESIGN: A series of 91 NSCLCpatients with stage I neoplastic disease was studied. HIN-1 expression was investigated by quantitative real-time reverse transcription-PCR on tumor specimens and matching normal lung tissues. Variables were analyzed by chi(2) test and Fisher's exact tests. Survival was evaluated with the method of Kaplan-Meier. Multivariate analysis was performed with Cox's proportional hazards model. RESULTS: Seventy one (78%) tumors showed a reduction of HIN-1 mRNA compared with the normal counterpart. The range of reduction varied greatly, from -2-fold to -3350-fold. Setting a cutoff at -46-fold (median value of HIN-1 mRNA reduction), 46 cases (51%) had a markedly reduced expression, and 45 cases (49%) showed a normal or slightly reduced expression. A statistically significant association between low HIN-1 mRNA levels and T status was observed (P = 0.036). Univariate survival curves, estimated using the method of Kaplan-Meier, defined a significant association between HIN-1 expression and both overall survival (P = 0.0095) and disease-free survival (P = 0.0122). A multivariate analysis, performed by Cox's proportional hazards regression model, confirmed that a low HIN-1 expression was the only significant factor to predict poor prognosis. CONCLUSIONS: Our data indicate that HIN-1 expression, measured by real-time reverse transcription-PCR, is a possible prognostic factor in patients with stage I NSCLC. Additional studies are required to further validate this potential prognostic marker.
Authors: Jennifer Beane; Jessica Vick; Frank Schembri; Christina Anderlind; Adam Gower; Joshua Campbell; Lingqi Luo; Xiao Hui Zhang; Ji Xiao; Yuriy O Alekseyev; Shenglong Wang; Shawn Levy; Pierre P Massion; Marc Lenburg; Avrum Spira Journal: Cancer Prev Res (Phila) Date: 2011-06
Authors: Jolly Mazumdar; Michele M Hickey; Dhruv K Pant; Amy C Durham; Alejandro Sweet-Cordero; Anil Vachani; Tyler Jacks; Lewis A Chodosh; Joseph L Kissil; M Celeste Simon; Brian Keith Journal: Proc Natl Acad Sci U S A Date: 2010-07-21 Impact factor: 11.205
Authors: M Herranz; M E Padín-Iruegas; Nieves Martínez-Lago; S Aguín Losada; P Raña-Díez; E Brozos Vázquez; J J Carrera; J R Antúnez; A Ruibal; R López-López Journal: Mol Neurobiol Date: 2015-03-11 Impact factor: 5.590