The DABBEC phenotyping system: towards a mechanistic understanding of CP/CPPS.
There is an urgent need to elucidate the mechanistic basis of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), as the current methods of symptom-based diagnosis and treatment have failed. Here, we propose a phenotyping system that bridges the gap between the symptom-based diagnosis and treatment of the present and the mechanistic approach of the future. Our phenotyping system uses the Chronic Prostatitis Collaborative Research Network (CPCRN)-recommended algorithm in combination with the NIH Chronic Prostatitis Symptom Index (NIH-CPSI) as a basis for diagnosis, while incorporating novel domains for quantitative assessment and stratification of CP/CPPS patients. We believe this novel system will serve to help advance our understanding of the roles of the patient's genome and proteome in the etiology of CP/CPPS. We predict that, as we begin to understand the mechanistic basis of CP/CPPS pathology and progression, we will develop specific treatments that will aim to cure the disease, rather than merely quell the symptoms.
Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
Stephen A
SA
Allsop
Derek J
DJ
Erstad
Karolina
K
Brook
Salman F
SF
Bhai
Jeffrey M
JM
Cohen
Jordan D
JD
Dimitrakoff
D000818:Animals; D002908:Chronic Disease; D002986:Clinical Trials as Topic / Q000379:methods; D006801:Humans; D008297:Male; D017699:Pelvic Pain / Q000235:genetics* / Q000473:pathology*; D010641:Phenotype; D011472:Prostatitis / Q000235:genetics* / Q000473:pathology*
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