Identification of Filamin-A and -B as potential biomarkers for prostate cancer

Niven R Narain; Anne R Diers; Arleide Lee; Socheata Lao; Joyce Y Chan; Sally Schofield; Joe Andreazi; Rakibou Ouro-Djobo; Joaquin J Jimenez; Tracey Friss; Nikunj Tanna; Aditee Dalvi; Sihe Wang; Dustin Bunch; Yezhou Sun; Wenfang Wu; Khampaseuth Thapa; Stephane Gesta; Leonardo O Rodrigues; Viatcheslav R Akmaev; Vivek K Vishnudas; Rangaprasad Sarangarajan

doi:10.4155/fsoa-2016-0065

Identification of Filamin-A and -B as potential biomarkers for prostate cancer

Future Sci OA. 2016 Dec 22;3(1):FSO161. doi: 10.4155/fsoa-2016-0065. eCollection 2017 Mar.

Authors

Niven R Narain¹, Anne R Diers¹, Arleide Lee¹, Socheata Lao¹, Joyce Y Chan¹, Sally Schofield¹, Joe Andreazi¹, Rakibou Ouro-Djobo¹, Joaquin J Jimenez², Tracey Friss¹, Nikunj Tanna¹, Aditee Dalvi¹, Sihe Wang³, Dustin Bunch³, Yezhou Sun¹, Wenfang Wu¹, Khampaseuth Thapa¹, Stephane Gesta¹, Leonardo O Rodrigues¹, Viatcheslav R Akmaev¹, Vivek K Vishnudas¹, Rangaprasad Sarangarajan¹

Affiliations

¹ Berg, LLC, Framingham, MA, USA; Berg, LLC, Framingham, MA, USA.
² Department of Dermatology, University of Miami Miller School of Medicine, Miami, FL, USA 33136; Department of Dermatology, University of Miami Miller School of Medicine, Miami, FL, USA 33136.
³ Department of Laboratory Medicine, Cleveland Clinic, Cleveland, OH, USA 44195; Department of Chemistry, Cleveland State University, Cleveland, OH, USA 44115; Department of Laboratory Medicine, Cleveland Clinic, Cleveland, OH, USA 44195; Department of Chemistry, Cleveland State University, Cleveland, OH, USA 44115.

Abstract

Aim: A novel strategy for prostate cancer (PrCa) biomarker discovery is described.

Materials & methods: In vitro perturbation biology, proteomics and Bayesian causal analysis identified biomarkers that were validated in in vitro models and clinical specimens.

Results: Filamin-B (FLNB) and Keratin-19 were identified as biomarkers. Filamin-A (FLNA) was found to be causally linked to FLNB. Characterization of the biomarkers in a panel of cells revealed differential mRNA expression and regulation. Moreover, FLNA and FLNB were detected in the conditioned media of cells. Last, in patients without PrCa, FLNA and FLNB blood levels were positively correlated, while in patients with adenocarcinoma the relationship is dysregulated.

Conclusion: These data support the strategy and the potential use of the biomarkers for PrCa.

Keywords: Bayesian network learning; FLNA; FLNB; KRT19; biomarkers; prostate cancer.