Literature DB >> 12533834

Diversity in expression and prognostic significance of G1/S cyclins in human primary lung carcinomas.

Yoh Dobashi1, Shi-Xu Jiang, Mitsuhiko Shoji, Shojiroh Morinaga, Toru Kameya.   

Abstract

Expression of cyclin A, cyclin E and cdk2 was examined immunohistochemically in 144 cases of primary non-small cell lung carcinoma to evaluate their prognostic value. Cyclin A was co-expressed with cdk2 in the proliferating cells, ie those showing positive Ki-67 staining. The labelling index (LI) of cyclin A revealed a positive correlation with the S-phase fraction and an inverse correlation with histological differentiation. Furthermore, high cyclin A LIs indicated a poor prognosis in all histological types. Cyclin E exhibited a characteristic staining pattern: in squamous cell carcinoma (SCC), differentiated cells without Ki-67 staining revealed cyclin E positivity with expression of cdk2. Conversely, in adenocarcinoma (AC), proliferating cells revealed cyclin E positivity. Cases of large cell carcinoma showed heterogeneous cyclin E staining patterns, unlike those of SCC or AC. Statistical analyses also revealed a marked contrast between SCC and AC. In AC, the LI of cyclin E was inversely correlated with histological differentiation and a high LI predicted a worse prognosis. In contrast, in SCC, the LI of cyclin E correlated positively with histological differentiation and better prognosis. However, the expression levels of cyclin E mRNA evaluated by quantitative RT-PCR were higher in poorly differentiated SCC and AC, suggesting that protein turnover plays a large role in determining cyclin E protein levels. Although the expression of cyclins was demonstrated to be diversely regulated depending on the histological type, the combined immunohistochemical analyses performed in this study on these proteins could be useful tools for evaluating patient prognosis in lung carcinomas. Copyright 2002 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12533834     DOI: 10.1002/path.1247

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  7 in total

Review 1.  Immunohistochemical markers of prognosis in non-small cell lung cancer: a review and proposal for a multiphase approach to marker evaluation.

Authors:  C-Q Zhu; W Shih; C-H Ling; M-S Tsao
Journal:  J Clin Pathol       Date:  2006-08       Impact factor: 3.411

2.  Anti-tumor effect of orally administered spinach glycolipid fraction on implanted cancer cells, colon-26, in mice.

Authors:  Naoki Maeda; Yasuo Kokai; Seiji Ohtani; Hiroeki Sahara; Yuko Kumamoto-Yonezawa; Isoko Kuriyama; Takahiko Hada; Noriyuki Sato; Hiromi Yoshida; Yoshiyuki Mizushina
Journal:  Lipids       Date:  2008-07-02       Impact factor: 1.880

3.  Cell cycle-dependent expression and subcellular localization of fructose 1,6-bisphosphatase.

Authors:  Piotr Mamczur; Agnieszka Joanna Sok; Adam Rzechonek; Dariusz Rakus
Journal:  Histochem Cell Biol       Date:  2011-11-06       Impact factor: 4.304

4.  Cyclin A2 regulates homologous recombination DNA repair and sensitivity to DNA damaging agents and poly(ADP-ribose) polymerase (PARP) inhibitors in human breast cancer cells.

Authors:  Wei Wei Gu; Jie Lin; Xing Yu Hong
Journal:  Oncotarget       Date:  2017-08-24

5.  [Study on the molecular mechanisms of dlk1 stimulated lung cancer cell proliferation].

Authors:  Yu Liu; Jinjing Tan; Lin Li; Shuo Li; Shuangmei Zou; Ying Zhang; Xiaojing Zhang; Bing Ling; Naijun Han; Suping Guo; Yanning Gao
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2010-10

6.  Cyclin-dependent kinase-specific activity predicts the prognosis of stage I and stage II non-small cell lung cancer.

Authors:  Hiroshi Kubo; Takashi Suzuki; Tomoko Matsushima; Hideki Ishihara; Kazuya Uchino; Satoshi Suzuki; Sachiyo Tada; Masahiro Yoshimura; Takashi Kondo
Journal:  BMC Cancer       Date:  2014-10-09       Impact factor: 4.430

7.  Identification of Candidate Biomarkers Correlated With the Pathogenesis and Prognosis of Non-small Cell Lung Cancer via Integrated Bioinformatics Analysis.

Authors:  Mengwei Ni; Xinkui Liu; Jiarui Wu; Dan Zhang; Jinhui Tian; Ting Wang; Shuyu Liu; Ziqi Meng; Kaihuan Wang; Xiaojiao Duan; Wei Zhou; Xiaomeng Zhang
Journal:  Front Genet       Date:  2018-10-12       Impact factor: 4.772

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.