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Cancer Science
Article . 2012 . Peer-reviewed
License: Wiley Online Library User Agreement
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Cancer Science
Article
Data sources: UnpayWall
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Cancer Science
Article . 2012
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Prognostic impact of Raf‐1 and p‐Raf‐1 expressions for poor survival rate in non‐small cell lung cancer

Authors: Zhi-Xin, Qiu; Lei, Wang; Juan, Han; Dan, Liu; Wei, Huang; Kiran, Altaf; Xue-Song, Qiu; +4 Authors

Prognostic impact of Raf‐1 and p‐Raf‐1 expressions for poor survival rate in non‐small cell lung cancer

Abstract

Overexpression of Raf‐1 has commonly been observed in solid tumors including non‐small cell lung cancer (NSCLC). The objective of this study was to investigate whether overexpression of Raf‐1, phosphorylated‐Raf‐1 (p‐Raf‐1) or both correlates with poor survival rate in NSCLC patients and to explore associations between expression of these proteins and NSCLC cell fate both in vitro and in vivo. Expression of Raf‐1 and p‐Raf‐1 were detected by immunohistochemistry in tumor specimens from 152 NSCLC patients and associations between their expression and the clinicopathological characteristics were assessed. Five‐year median survival rate of patients were analyzed by Kaplan–Meier method, log‐rank test and Cox regression. Cell fate was compared between normal tumor cells and those with Raf‐1 silencing, in both the adenocarcinoma cell line A549 and xenografted mice that were infected with the A549 cell line. The incidence of overexpression of both Raf‐1 and p‐Raf‐1 in NSCLC was much higher than normal control (P < 0.05), and the survival rate of patients with positive expression of Raf‐1, p‐Raf‐1 or both was found to be significantly lower than the negative group (P < 0.05). Both univariate and multivariate analyses showed Raf‐1 (P = 0.000, P = 0.010), p‐Raf‐1 (P = 0.004, P = 0.046), or both (P = 0.001, P = 0.016) was good prognostic markers for poor survival rate in NSCLC patients. Suppression of Raf‐1 inhibited tumorigenesis by inducing apoptosis both in vitro and in vivo. These findings demonstrate that overexpression of Raf‐1, p‐Raf‐1 or both could be considered as a new independent prognostic biomarker for poor survival rates for NSCLC patients.

Keywords

Male, Lung Neoplasms, Transplantation, Heterologous, Kaplan-Meier Estimate, Middle Aged, Prognosis, Immunohistochemistry, Proto-Oncogene Proteins c-raf, Survival Rate, Mice, Carcinoma, Non-Small-Cell Lung, Biomarkers, Tumor, Animals, Humans, Female, Phosphorylation, Neoplasm Staging, Proportional Hazards Models

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    13
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Average
Top 10%
gold
Related to Research communities
Cancer Research