Literature DB >> 23944647

Microvessel area of immature vessels is a prognostic factor in renal cell carcinoma.

Mototaka Sato1, Yasutomo Nakai, Wataru Nakata, Takahiro Yoshida, Koji Hatano, Atsunari Kawashima, Kazutoshi Fujita, Motohide Uemura, Hitoshi Takayama, Norio Nonomura.   

Abstract

OBJECTIVES: To analyze the presence of immature vessels as a predictive factor of prognosis in patients with renal cell carcinoma.
METHODS: Tissue samples were obtained from 50 renal cell carcinoma patients who underwent radical nephrectomy, and the blood vessels were stained using antibodies to cluster of differentiation 34 and α-smooth muscle actin. Immature vessels were defined as those positive for cluster of differentiation 34, and mature vessels as those positive for both cluster of differentiation 34 and α-smooth muscle actin. The extent of vascularization was quantified by calculating the microvessel area and microvessel density.
RESULTS: The microvessel area of immature vessels was positively associated with tumor grade (P < 0.0001), T stage (P < 0.0001) and American Joint Committee on Cancer stage (P < 0.0001), and was significantly higher in tumors with metastasis than in those without metastasis (P < 0.0001). The microvessel density did not associate with tumor grade or T stage. The disease-free survival and overall survival were significantly shorter in patients with high microvessel area.
CONCLUSIONS: The microvessel area of immature vessels seems to be associated with renal cell carcinoma aggressiveness, suggesting this might be considered as a novel prognostic factor in patients with these tumors.
© 2013 The Japanese Urological Association.

Entities:  

Keywords:  angiogenesis; immature vessel; microvessel area; microvessel density; renal cell carcinoma

Mesh:

Year:  2013        PMID: 23944647     DOI: 10.1111/iju.12231

Source DB:  PubMed          Journal:  Int J Urol        ISSN: 0919-8172            Impact factor:   3.369


  5 in total

1.  Development and validation of a vascularity-based architectural classification for clear cell renal cell carcinoma: correlation with conventional pathological prognostic factors, gene expression patterns, and clinical outcomes.

Authors:  Chisato Ohe; Takashi Yoshida; Mahul B Amin; Naho Atsumi; Junichi Ikeda; Kazuho Saiga; Yuri Noda; Yoshiki Yasukochi; Riuko Ohashi; Haruyuki Ohsugi; Koichiro Higasa; Hidefumi Kinoshita; Koji Tsuta
Journal:  Mod Pathol       Date:  2021-11-30       Impact factor: 7.842

2.  Vascular architectural patterns in clear cell renal cell carcinoma and clear cell papillary renal cell carcinoma.

Authors:  Sofia Canete-Portillo; Maria Del Carmen Rodriguez Pena; Dezhi Wang; Diego F Sanchez; George J Netto; Cristina Magi-Galluzzi
Journal:  Virchows Arch       Date:  2021-10-05       Impact factor: 4.064

3.  Effects of receptor for advanced glycation endproducts on microvessel formation in endometrial cancer.

Authors:  Lu Zheng; Da Li; Yi-Ming Zhou; Hui Yang; Di Cheng; Xiao-Xin Ma
Journal:  BMC Cancer       Date:  2016-02-12       Impact factor: 4.430

4.  A novel machine learning approach reveals latent vascular phenotypes predictive of renal cancer outcome.

Authors:  Nathan Ing; Fangjin Huang; Andrew Conley; Sungyong You; Zhaoxuan Ma; Sergey Klimov; Chisato Ohe; Xiaopu Yuan; Mahul B Amin; Robert Figlin; Arkadiusz Gertych; Beatrice S Knudsen
Journal:  Sci Rep       Date:  2017-10-16       Impact factor: 4.379

5.  Are tumor-associated micro-angiogenesis and lymphangiogenesis considered as the novel prognostic factors for patients with Xp11.2 translocation renal cell carcinoma?

Authors:  Wenliang Ma; Jun Yang; Ning Liu; Xiaohong Pu; Feng Qu; Linfeng Xu; Xiaozhi Zhao; Xiaogong Li; Gutian Zhang; Hongqian Guo; Dongmei Li; Weidong Gan
Journal:  BMC Cancer       Date:  2020-12-02       Impact factor: 4.430

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.