Literature DB >> 25664945

Prognostic factors in urothelial carcinoma of the bladder: histologic and molecular correlates.

James P Solomon1, Donna E Hansel.   

Abstract

Histologic characterization of urothelial carcinoma remains the most important factor for determining a patient's prognosis and treatment regimen. However, challenges remain in accurately staging and grading many tumors, and substaging remains controversial. Recently, significant insight has been gained into the molecular pathogenesis of bladder cancer that may aid in further characterizing urothelial carcinoma. Many molecular biomarkers have been clinically validated, and some have been shown to provide more prognostic information than histology alone. In addition, a subset of these markers may even represent targets for molecular therapy. Here, we review histologic staging and grading of urothelial carcinoma, as well as discuss many of the clinically relevant molecular markers. As each urothelial carcinoma likely represents a unique biological entity, the need for complete histologic and molecular characterization of these tumors is necessary as we enter the age of personalized medicine.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25664945     DOI: 10.1097/PAP.0000000000000050

Source DB:  PubMed          Journal:  Adv Anat Pathol        ISSN: 1072-4109            Impact factor:   3.875


  8 in total

1.  TRAF6 expression is associated with poorer prognosis and high recurrence in urothelial bladder cancer.

Authors:  Hanli Wu; Aixia Hao; Honghong Cui; Wenbin Wu; Huanrong Yang; Baohong Hu; Peng Li
Journal:  Oncol Lett       Date:  2017-06-20       Impact factor: 2.967

2.  The pancancer landscape of Wnt family expression reveals potential biomarkers in urinary system tumors.

Authors:  Jialiang Hui; Chengxinqiao Wang; Yun Miao; Ruiyu Liu; Jian Xu
Journal:  Cancer Gene Ther       Date:  2020-12-11       Impact factor: 5.987

3.  A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer.

Authors:  Hui Zhou; Kun Tang; Haibing Xiao; Jin Zeng; Wei Guan; Xiaolin Guo; Hua Xu; Zhangqun Ye
Journal:  J Exp Clin Cancer Res       Date:  2015-05-21

Review 4.  Prognostic role of matrix metalloproteinases in bladder carcinoma: a systematic review and meta-analysis.

Authors:  Chenkui Miao; Chao Liang; Jundong Zhu; Aiming Xu; Kai Zhao; Yibo Hua; Jianzhong Zhang; Wei Chen; Chuanjian Suo; Chao Zhang; Yiyang Liu; Shifeng Su; Zengjun Wang
Journal:  Oncotarget       Date:  2017-05-09

5.  A novel microRNA signature predicts survival in liver hepatocellular carcinoma after hepatectomy.

Authors:  Qiang Fu; Fan Yang; Tengxiao Xiang; Guoli Huai; Xingxing Yang; Liang Wei; Hongji Yang; Shaoping Deng
Journal:  Sci Rep       Date:  2018-05-21       Impact factor: 4.379

6.  Prognostic value and underlying mechanism of KIAA0101 in hepatocellular carcinoma: database mining and co-expression analysis.

Authors:  Weiyu Xu; Xuezhu Wang; Xiaoqian Wu; Si Yu; Jianping Xiong; Xinting Sang; Yongchang Zheng; Zhongtao Zhang
Journal:  Aging (Albany NY)       Date:  2020-08-27       Impact factor: 5.682

7.  Identification of a ten-long noncoding RNA signature for predicting the survival and immune status of patients with bladder urothelial carcinoma based on the GEO database: a superior machine learning model.

Authors:  XuDong Mao; ShiHan Chen; GongHui Li
Journal:  Aging (Albany NY)       Date:  2021-02-17       Impact factor: 5.682

8.  The diagnostic and prognostic value of nuclear matrix protein 22 in bladder cancer.

Authors:  Xingxing Tang; Yudong Cao; Jia Liu; Shuo Wang; Yong Yang; Peng Du
Journal:  Transl Cancer Res       Date:  2020-11       Impact factor: 1.241

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.