| Literature DB >> 24746210 |
Wakako Hamanaka1, Noriko Motoi2, Shumpei Ishikawa3, Masaru Ushijima4, Kentaro Inamura2, Satoko Hatano2, Hirofumi Uehara5, Sakae Okumura5, Ken Nakagawa5, Makoto Nishio6, Takeshi Horai6, Hiroyuki Aburatani3, Masaaki Matsuura4, Akinori Iwasaki7, Yuichi Ishikawa8.
Abstract
Patients with small cell lung carcinoma (SCLC) rarely demonstrate long-term survival. We previously reported that gene expression profiling identified a subset of SCLC with good prognosis in surgical cases. To find an easier way to routinely identify SCLC belonging to this subset, we conducted the present study with a hypothesis that neuroendocrine (NE) or basaloid (BA) phenotypes may influence prognosis. To confirm the subset, we used an array platform to analyze fresh samples. Because inoperable cases may differ from surgical cases, we enrolled 51 biopsy cases and 43 resected samples. To evaluate NE and BA phenotypes, we used NE (synaptophysin, chromogranin A, and CD56) and BA (p63 and CK34βE12) markers. To varying extents, expression profiling based on the array platform duplicated the subsets. For NE phenotypes, 77% of surgical cases and 100% of biopsy cases were positive for at least 1 marker. For BA phenotypes, only 19% of surgical cases were positive for at least 1 marker, whereas there were no positive biopsy cases. Cases undergoing surgery were categorized based on NE and BA immunoreactivity; 58% into NE+BA-, 19% into NE+BA+, 23% into NE-BA-, and 0 into NE-BA+ groups. NE- patients (n = 10) demonstrated a significantly better prognosis (P = .0306) than their NE+ counterparts (n = 33), whereas no survival difference was evident between the BA+ and BA- groups. Multivariate analyses showed that NE positivity was an independent prognostic factor. In conclusion, the SCLC subset with good prognosis is identified by low NE marker expression, which was found only in surgical cases.Entities:
Keywords: Basal cell; Immunohistochemistry; Neuroendocrine; Prognosis; Small cell lung cancer (SCLC)
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Year: 2014 PMID: 24746210 DOI: 10.1016/j.humpath.2014.01.001
Source DB: PubMed Journal: Hum Pathol ISSN: 0046-8177 Impact factor: 3.466