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Clinicopathological features and EGFR gene mutation status in elderly patients with resected non–small-cell lung cancer

Overview of attention for article published in BMC Cancer, August 2014
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Title
Clinicopathological features and EGFR gene mutation status in elderly patients with resected non–small-cell lung cancer
Published in
BMC Cancer, August 2014
DOI 10.1186/1471-2407-14-610
Pubmed ID
Authors

Teppei Nishii, Tomoyuki Yokose, Yohei Miyagi, Yataro Daigo, Hiroyuki Ito, Tetsuya Isaka, Kentaro Imai, Shuji Murakami, Tetsuro Kondo, Haruhiro Saito, Fumihiro Oshita, Kouzo Yamada, Shoichi Matsukuma, Masahiro Tsuboi, Haruhiko Nakayama, Munetaka Masuda

Abstract

The rapid aging of the population in Japan has been accompanied by an increased rate of surgery for lung cancer among elderly patients. It is thus an urgent priority to map out a treatment strategy for elderly patients with primary lung cancer. Although surgical resection remains standard treatment for early stage non-small-cell lung cancer (NSCLC), it is now essential to confirm the status of epidermal growth factor receptor (EGFR) gene mutations when planning treatment strategies. Furthermore, several studies have reported that EGFR mutations are an independent prognostic marker in NSCLC. However, the relations between age group and the molecular and pathological characteristics of NSCLC remain unclear. We studied the status of EGFR mutations in elderly patients with NSCLC and examined the relations of EGFR mutations to clinicopathological factors and outcomes according to age group.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 16%
Researcher 3 16%
Other 2 11%
Student > Postgraduate 2 11%
Student > Ph. D. Student 2 11%
Other 2 11%
Unknown 5 26%
Readers by discipline Count As %
Medicine and Dentistry 9 47%
Biochemistry, Genetics and Molecular Biology 1 5%
Nursing and Health Professions 1 5%
Engineering 1 5%
Unknown 7 37%