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[Detection of epidermal growth factor receptor and c-Met gene copies for prognostic evaluation of non-small cell lung cancer].

Authors: Ting, Ai; Ning, Wang; Li-ping, Song;

[Detection of epidermal growth factor receptor and c-Met gene copies for prognostic evaluation of non-small cell lung cancer].

Abstract

To investigate the role of epidermal growth factor receptor (EGFR) and c-Met in the oncogenesis, development and prognosis of non-small cell lung cancer (NSCLC).The relative copy numbers of EGFR and c-Met mRNA were detected in 61 cases of NSCLC by fluorescent RT-PCR, and the correlation between EGFR and c-Met as well as their correlation to the clinicopathological data of the patients were analyzed. A survival analysis was also performed in relation to EGFR and c-Met expressions.The relative copy numbers of EGFR and c-Met were positively correlated (r=0.352, P=0.005). The levels of these two genes in smokers were 0.15 and 0.14, respectively, significantly higher than those in non-smokers (P<0.05); their levels were 0.16 and 0.14 in adenocarcinoma, respectively, significantly higher than those in squamous carcinomas (P<0.05). In patients with squamous carcinomas, a higher level of EGFR and c-Met DNA copies was associated with poorer prognosis, and Log Rank analysis indicated a survival difference in relation to EGFR and c-Met DNA copies (P=0.015, P=0.046).EGFR and c-Met may interact in a synergistic manner in the oncogenesis and development of NSCLC, and may help in the prognostic evaluation of squamous carcinomas.

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Keywords

Adult, Male, Lung Neoplasms, Middle Aged, Proto-Oncogene Proteins c-met, Prognosis, Real-Time Polymerase Chain Reaction, ErbB Receptors, Carcinoma, Non-Small-Cell Lung, Humans, Female, RNA, Messenger, Aged

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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!
0
Average
Average
Average
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Cancer Research