Literature DB >> 31370109

Predictive biomarkers for drug response in bladder cancer.

Takahiro Yoshida1, Max Kates1,2, Kazutoshi Fujita3, Trinity J Bivalacqua1,2, David J McConkey1,2.   

Abstract

Bladder cancer is a heterogeneous disease. Interpatient heterogeneity in response to a drug limits treatment options and impairs improvement of patient survival. For example, approximately half of patients do not respond to cisplatin-based combination chemotherapy, although it is the standard of care for muscle-invasive and metastatic bladder cancer. The development of robust predictive biomarkers is expected to improve outcomes by enabling clinicians to use chemotherapy only in the patients who will benefit from it. Recent advances in the molecular characterization of bladder cancer showed that the basal subtype of bladder cancer and tumors with inactivating mutations in DNA damage repair genes were associated with greater benefit from cisplatin-based chemotherapy. The present review summarizes current efforts to develop predictive biomarkers for drug response in bladder cancer, focusing on those that predict the response to cisplatin-based chemotherapy for advanced bladder cancer. We also review the current situation with regard to the identification of predictive biomarkers for response to intravesical therapy, immune checkpoint inhibitors and molecularly-targeted drugs. We also discuss the future applications of new technologies, including liquid biopsies and patient-derived organoids that will also serve as resources for the identification of biomarkers in bladder cancer.
© 2019 The Japanese Urological Association.

Entities:  

Keywords:  cisplatin; drug response; neoadjuvant chemotherapy; predictive biomarker; urothelial cancer

Year:  2019        PMID: 31370109     DOI: 10.1111/iju.14082

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


  10 in total

1.  EphA2 on urinary extracellular vesicles as a novel biomarker for bladder cancer diagnosis and its effect on the invasiveness of bladder cancer.

Authors:  Eisuke Tomiyama; Kazutoshi Fujita; Kyosuke Matsuzaki; Ryohei Narumi; Akinaru Yamamoto; Toshihiro Uemura; Gaku Yamamichi; Yoko Koh; Makoto Matsushita; Yujiro Hayashi; Mamoru Hashimoto; Eri Banno; Taigo Kato; Koji Hatano; Atsunari Kawashima; Motohide Uemura; Ryo Ukekawa; Tetsuya Takao; Shingo Takada; Hirotsugu Uemura; Jun Adachi; Takeshi Tomonaga; Norio Nonomura
Journal:  Br J Cancer       Date:  2022-07-06       Impact factor: 9.075

2.  Urinary Tract Tumor Organoids Reveal Eminent Differences in Drug Sensitivities When Compared to 2-Dimensional Culture Systems.

Authors:  Yi Wei; Bastian Amend; Tilman Todenhöfer; Nizar Lipke; Wilhelm K Aicher; Falko Fend; Arnulf Stenzl; Niklas Harland
Journal:  Int J Mol Sci       Date:  2022-06-04       Impact factor: 6.208

3.  Self-crosslinkable chitosan-hyaluronic acid dialdehyde nanoparticles for CD44-targeted siRNA delivery to treat bladder cancer.

Authors:  Ye Liang; Yonghua Wang; Liping Wang; Zhijuan Liang; Dan Li; Xiaoyu Xu; Yuanbin Chen; Xuecheng Yang; Hongbo Zhang; Haitao Niu
Journal:  Bioact Mater       Date:  2020-09-08

4.  Establishment of a novel risk score model by comprehensively analyzing the immunogen database of bladder cancer to indicate clinical significance and predict prognosis.

Authors:  Lingyun Liu; Jinghai Hu; Yu Wang; Tao Sun; Xiang Zhou; Xinyuan Li; Fuzhe Ma
Journal:  Aging (Albany NY)       Date:  2020-06-22       Impact factor: 5.682

5.  SWI/SNF chromatin remodeling complex and glucose metabolism are deregulated in advanced bladder cancer.

Authors:  Malgorzata Stachowiak; Michal Szymanski; Anna Ornoch; Iga Jancewicz; Natalia Rusetska; Alicja Chrzan; Tomasz Demkow; Janusz A Siedlecki; Tomasz J Sarnowski; Elzbieta Sarnowska
Journal:  IUBMB Life       Date:  2020-02-19       Impact factor: 3.885

6.  Proteomic analysis of urinary and tissue-exudative extracellular vesicles to discover novel bladder cancer biomarkers.

Authors:  Eisuke Tomiyama; Kyosuke Matsuzaki; Kazutoshi Fujita; Takashi Shiromizu; Ryohei Narumi; Kentaro Jingushi; Yoko Koh; Makoto Matsushita; Kosuke Nakano; Yujiro Hayashi; Cong Wang; Yu Ishizuya; Taigo Kato; Koji Hatano; Atsunari Kawashima; Takeshi Ujike; Motohide Uemura; Tetsuya Takao; Jun Adachi; Takeshi Tomonaga; Norio Nonomura
Journal:  Cancer Sci       Date:  2021-03-31       Impact factor: 6.716

7.  Kinesin family member 3A stimulates cell proliferation, migration, and invasion of bladder cancer cells in vitro and in vivo.

Authors:  Qingchun Zhou; Juan Yu; Qingyou Zheng; Tao Wu; Ziliang Ji; Yumin Zhuo
Journal:  FEBS Open Bio       Date:  2021-05-02       Impact factor: 2.693

8.  RNA Expression of DNA Damage Response Genes in Muscle-Invasive Bladder Cancer: Influence on Outcome and Response to Adjuvant Cisplatin-Based Chemotherapy.

Authors:  Jonas Herrmann; Helena Schmidt; Katja Nitschke; Cleo-Aron Weis; Philipp Nuhn; Jost von Hardenberg; Maurice Stephan Michel; Philipp Erben; Thomas Stefan Worst
Journal:  Int J Mol Sci       Date:  2021-04-18       Impact factor: 5.923

9.  Risk score-based substratification improves surveillance costs after transurethral resection of bladder tumor in patients with primary high-risk non-muscle-invasive bladder cancer.

Authors:  Naoki Fujita; Shingo Hatakeyama; Masaki Momota; Yuki Tobisawa; Tohru Yoneyama; Hayato Yamamoto; Hiroyuki Ito; Takahiro Yoneyama; Yasuhiro Hashimoto; Kazuaki Yoshikawa; Chikara Ohyama
Journal:  Sci Rep       Date:  2022-08-12       Impact factor: 4.996

Review 10.  Are We Ready to Implement Molecular Subtyping of Bladder Cancer in Clinical Practice? Part 1: General Issues and Marker Expression.

Authors:  Francesca Sanguedolce; Magda Zanelli; Andrea Palicelli; Stefano Ascani; Maurizio Zizzo; Giorgia Cocco; Lars Björnebo; Anna Lantz; Ugo Giovanni Falagario; Luigi Cormio; Giuseppe Carrieri
Journal:  Int J Mol Sci       Date:  2022-07-15       Impact factor: 6.208

  10 in total

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