Literature DB >> 24746210

A subset of small cell lung cancer with low neuroendocrine expression and good prognosis: a comparison study of surgical and inoperable cases with biopsy.

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.
Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Basal cell; Immunohistochemistry; Neuroendocrine; Prognosis; Small cell lung cancer (SCLC)

Mesh:

Substances:

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


  14 in total

1.  Prognostic value of fluorine-18 fludeoxyglucose positron emission tomography parameters differs according to primary tumour location in small-cell lung cancer.

Authors:  Tomomi Nobashi; Sho Koyasu; Yuji Nakamoto; Takeshi Kubo; Takayoshi Ishimori; Young H Kim; Akihiko Yoshizawa; Kaori Togashi
Journal:  Br J Radiol       Date:  2016-01-12       Impact factor: 3.039

Review 2.  Family matters: How MYC family oncogenes impact small cell lung cancer.

Authors:  Johannes Brägelmann; Stefanie Böhm; Matthew R Guthrie; Gurkan Mollaoglu; Trudy G Oliver; Martin L Sos
Journal:  Cell Cycle       Date:  2017-07-24       Impact factor: 4.534

Review 3.  Insights into Novel Prognostic and Possible Predictive Biomarkers of Lung Neuroendocrine Tumors.

Authors:  Dimitrios Moris; Ioannis Ntanasis-Stathopoulos; Diamantis I Tsilimigras; Mohamad A Adam; Chi-Fu Jeffrey Yang; David Harpole; Stamatios Theocharis
Journal:  Cancer Genomics Proteomics       Date:  2018 Mar-Apr       Impact factor: 4.069

4.  Ki-67 labeling index of neuroendocrine tumors of the lung has a high level of correspondence between biopsy samples and surgical specimens when strict counting guidelines are applied.

Authors:  Alessandra Fabbri; Mara Cossa; Angelica Sonzogni; Mauro Papotti; Luisella Righi; Gaia Gatti; Patrick Maisonneuve; Barbara Valeri; Ugo Pastorino; Giuseppe Pelosi
Journal:  Virchows Arch       Date:  2017-01-04       Impact factor: 4.064

5.  Comparative expression analysis in small cell lung carcinoma reveals neuroendocrine pattern change in primary tumor versus lymph node metastases.

Authors:  Zoltan Lohinai; Zsolt Megyesfalvi; Kenichi Suda; Tunde Harko; Shengxiang Ren; Judit Moldvay; Viktoria Laszlo; Christopher Rivard; Balazs Dome; Fred R Hirsch
Journal:  Transl Lung Cancer Res       Date:  2019-12

6.  Loss of YAP1 defines neuroendocrine differentiation of lung tumors.

Authors:  Takeshi Ito; Daisuke Matsubara; Ichidai Tanaka; Kanae Makiya; Zen-Ichi Tanei; Yuki Kumagai; Shu-Jen Shiu; Hiroki J Nakaoka; Shumpei Ishikawa; Takayuki Isagawa; Teppei Morikawa; Aya Shinozaki-Ushiku; Yasushi Goto; Tomoyuki Nakano; Takehiro Tsuchiya; Hiroyoshi Tsubochi; Daisuke Komura; Hiroyuki Aburatani; Yoh Dobashi; Jun Nakajima; Shunsuke Endo; Masashi Fukayama; Yoshitaka Sekido; Toshiro Niki; Yoshinori Murakami
Journal:  Cancer Sci       Date:  2016-09-09       Impact factor: 6.716

7.  LSD1/KDM1 isoform LSD1+8a contributes to neural differentiation in small cell lung cancer.

Authors:  Takanobu Jotatsu; Shigehiro Yagishita; Ken Tajima; Fumiyuki Takahashi; Kaoru Mogushi; Moulid Hidayat; Aditya Wirawan; Ryo Ko; Ryota Kanemaru; Naoko Shimada; Keiko Mitani; Tsuyoshi Saito; Kazuya Takamochi; Kenji Suzuki; Shinji Kohsaka; Shinya Kojima; Hiroshi Mukae; Kazuhiro Yatera; Kazuhisa Takahashi
Journal:  Biochem Biophys Rep       Date:  2016-12-01

8.  Relationship of tumor PD-L1 (CD274) expression with lower mortality in lung high-grade neuroendocrine tumor.

Authors:  Kentaro Inamura; Yusuke Yokouchi; Maki Kobayashi; Hironori Ninomiya; Rie Sakakibara; Makoto Nishio; Sakae Okumura; Yuichi Ishikawa
Journal:  Cancer Med       Date:  2017-09-18       Impact factor: 4.452

9.  Prognostic significance of CpG island methylator phenotype in surgically resected small cell lung carcinoma.

Authors:  Yuichi Saito; Genta Nagae; Noriko Motoi; Eisaku Miyauchi; Hironori Ninomiya; Hirofumi Uehara; Mingyon Mun; Sakae Okumura; Fumiyoshi Ohyanagi; Makoto Nishio; Yukitoshi Satoh; Hiroyuki Aburatani; Yuichi Ishikawa
Journal:  Cancer Sci       Date:  2016-02-19       Impact factor: 6.716

10.  YAP and TAZ modulate cell phenotype in a subset of small cell lung cancer.

Authors:  Masafumi Horie; Akira Saito; Mitsuhiro Ohshima; Hiroshi I Suzuki; Takahide Nagase
Journal:  Cancer Sci       Date:  2016-11-25       Impact factor: 6.716

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