Literature DB >> 20855955

Subtypes of cervical adenosquamous carcinomas classified by EpCAM expression related to radiosensitivity.

Kaori Imadome1, Mayumi Iwakawa, Miyako Nakawatari, Hidetoshi Fujita, Shingo Kato, Tatsuya Ohno, Etsuko Nakamura, Yu Ohkubo, Tomoaki Tamaki, Hiroki Kiyohara, Takashi Imai.   

Abstract

Adenosquamous carcinoma (ASC) is a relatively uncommon histological subtype of cervical cancer (CC). A point of controversy is the relative prognosis of ASC compared to squamous cell carcinoma (SCC). We hypothesized that ASC could be classified into two intrinsic molecular subtypes with different outcomes. We examined 143 biopsy samples of CC patients to identify a molecule for classification using microarray expression analysis and immunohistochemical analysis (IHA). We found specific expression profiles of candidate genes that distinguished two clusters. All adenocarcinoma (AC) patients were classified into one cluster, and most SCC patients fell into the other cluster. ASC patients were classified across the two clusters, which showed significantly different prognoses. The SCC-like expression signature comprised ANXA8, CK5, IFI16, and nectin-1; and the AC-like signature comprised EpCAM, and TMEM98. These signature-specific genes hypothetically indicated specific pathways by ontological analysis. The AC-like signature suggested an epithelial-mesenchymal transition and activated β-catenin pathway, while the SCC-like signature suggested keratinocyte differentiation, HPV infection, and p53-mediated apoptosis. IHA revealed that positive expression of the most promising protein, EpCAM, was significantly associated with poor prognosis. In addition, the inhibition of EpCAM expression using siRNA significantly increased radiation-induced cell death in the cervical cell line, ME-180. In conclusion, we identified two possible ASC subtypes associated with different expression profiles and different prognoses. This work provides a novel set of genes that could be used as independent prognostic markers and therapy targets.

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Year:  2010        PMID: 20855955     DOI: 10.4161/cbt.10.10.13249

Source DB:  PubMed          Journal:  Cancer Biol Ther        ISSN: 1538-4047            Impact factor:   4.742


  18 in total

Review 1.  Embryonic stem cell-specific signature in cervical cancer.

Authors:  Jorge Organista-Nava; Yazmín Gómez-Gómez; Patricio Gariglio
Journal:  Tumour Biol       Date:  2013-10-28

2.  The Secreted Form of Transmembrane Protein 98 Promotes the Differentiation of T Helper 1 Cells.

Authors:  Weiwei Fu; Yingying Cheng; Yanfei Zhang; Xiaoning Mo; Ting Li; Yuanfeng Liu; Pingzhang Wang; Wen Pan; Yingyu Chen; Yintong Xue; Dalong Ma; Yu Zhang; Wenling Han
Journal:  J Interferon Cytokine Res       Date:  2015-05-06       Impact factor: 2.607

3.  Comparison of clinical outcomes of squamous cell carcinoma, adenocarcinoma, and adenosquamous carcinoma of the uterine cervix after definitive radiotherapy: a population-based analysis.

Authors:  Juan Zhou; San-Gang Wu; Jia-Yuan Sun; Feng-Yan Li; Huan-Xin Lin; Qiong-Hua Chen; Zhen-Yu He
Journal:  J Cancer Res Clin Oncol       Date:  2016-09-19       Impact factor: 4.553

4.  IFI16 restoration in hepatocellular carcinoma induces tumour inhibition via activation of p53 signals and inflammasome.

Authors:  Wei Lin; Zhiguang Zhao; Zhonglin Ni; Yaxin Zhao; Wenjun Du; Shijun Chen
Journal:  Cell Prolif       Date:  2017-10-08       Impact factor: 6.831

5.  Antiproliferative effects and molecular mechanisms of troglitazone in human cervical cancer in vitro.

Authors:  Jinjun Ye; Li Yin; Peng Xie; Jianfeng Wu; Jian Huang; Guoren Zhou; Hanzi Xu; Emei Lu; Xia He
Journal:  Onco Targets Ther       Date:  2015-05-26       Impact factor: 4.147

6.  EpCAM expression in squamous cell carcinoma of the uterine cervix detected by monoclonal antibody to the membrane-proximal part of EpCAM.

Authors:  Warangkana Chantima; Charin Thepthai; Pornsuk Cheunsuchon; Tararaj Dharakul
Journal:  BMC Cancer       Date:  2017-12-04       Impact factor: 4.430

7.  Predicting radiotherapy response for patients with soft tissue sarcoma by developing a molecular signature.

Authors:  Zaixiang Tang; Qinghua Zeng; Yan Li; Xinyan Zhang; Mark J Suto; Bo Xu; Nengjun Yi
Journal:  Oncol Rep       Date:  2017-09-25       Impact factor: 3.906

8.  Development of a radiosensitivity gene signature for patients with soft tissue sarcoma.

Authors:  Zaixiang Tang; Qinghua Zeng; Yan Li; Xinyan Zhang; Jinlu Ma; Mark J Suto; Bo Xu; Nengjun Yi
Journal:  Oncotarget       Date:  2017-04-18

9.  dbCerEx: a web-based database for the analysis of cervical cancer transcriptomes.

Authors:  Limin Zhou; Wei Zheng; Majing Luo; Jing Feng; Zhichun Jin; Yan Wang; Dunlan Zhang; Qiongxiu Tang; Yan He
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

10.  A radiosensitivity gene signature in predicting glioma prognostic via EMT pathway.

Authors:  Jin Meng; Ping Li; Qing Zhang; Zhangru Yang; Shen Fu
Journal:  Oncotarget       Date:  2014-07-15
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