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Fukushima Journal of Medical Science >
Vol.60 (2014) >

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タイトル: Prediction of recurrence for non-small cell lung cancer by combined analysis of molecular markers and ^{18}F 2-fluoro-2-deoxy-d-glucose positron emission tomography
著者: Yonechi, Atsushi
Suzuki, Hiroyuki
Sakuma, Hideo
Higuchi, Mitsunori
Ohsugi, Jun
Okabe, Naoyuki
Muto, Satoshi
Teranishi, Yasushi
Gotoh, Mitsukazu
学内所属: 臓器再生外科学講座
誌名/書名: Fukushima Journal of Medical Science
巻: 60
号: 1
開始ページ: 47
終了ページ: 56
発行日: 2014年8月8日
抄録: [Purpose] Numerous biomarkers have been reported to reflect prognosis in patients with non-small cell lung cancer, but most of them remain controversial in terms of the clinical benefits. The aim of this study is to establish a novel procedure in combined analyses of molecular markers and biomedical image for precise prediction for patient prognosis of non-small cell lung cancer. [Experimental design] Molecular markers related to cell cycle and proliferation and ^{18}F 2-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) were retrospectively analyzed for their utility as prognostic parameters in 54 patients with non-small cell lung cancer. Expression of ten representative molecular markers (Glut-1, proliferating cell nuclear antigen, Ki-67, cyclin B1, cyclin D1, cyclin E, E2F-1, p21, p27, and p53) were immunohistochemically analyzed using tissue microarray. The maximum standardized uptake value (SUVmax) on FDG-PET was analyzed as a semiquantitative value of FDG uptake of the primary tumor. [Results] Several molecular markers were significantly correlated with some of clinicopathological parameters, whereas none of each marker were correlated with recurrence or survival. Hierarchical clustering analysis in combination of immunohistochemical analysis of molecular expressions and SUVmax divided them into three subgroups significantly different in two-year recurrent-free survival (Cluster A, 56.3%; B, 100%; C 93.8%). These clustering subgroups were also significantly correlated with disease recurrence (p=0.0282). [Conclusions] Hierarchical clustering analysis, based on molecular markers and FDG accumulation, could be an efficient tool for prediction of recurrence and survival in patients with non-small cell lung cancer.
出版者: The Fukushima Society of Medical Science
出版者(異表記): 福島医学会
本文の言語: eng
このページのURI: http://ir.fmu.ac.jp/dspace/handle/123456789/403
本文URL: http://ir.fmu.ac.jp/dspace/bitstream/123456789/403/1/FksmJMedSci_60_p47.pdf
ISSN: 0016-2590
2185-4610
DOI: 10.5387/fms.2010-20
PubMed番号: 25030720
関連ページ: http://dx.doi.org/10.5387/fms.2010-20
権利情報: © 2014 The Fukushima Society of Medical Science
出現コレクション:Vol.60 (2014)

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FksmJMedSci_60_p47.pdf767.43 kBAdobe PDFダウンロード

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