- Title
- Predicting Recurrence and Progression of Noninvasive Papillary Bladder Cancer at Initial Presentation Based on Quantitative Gene Expression Profiles
- Creators
- Marc BIRKHAHN - Department of Urology, University of Southern California Keck School of Medicine, Los Angeles, CA, United StatesAnirban P MITRA - Department of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA, United StatesAnthony J WILLIAMS - Department of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA, United StatesGitte LAM - Department of Urology, Herlev Hospital, University of Copenhagen, Herlev, DenmarkWEI WEI YE - Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, United StatesRam H DATAR - Department of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA, United StatesMarija BALIC - Department of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA, United StatesSusan GROSHEN - Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA, United StatesKenneth E STEVEN - Department of Urology, Herlev Hospital, University of Copenhagen, Herlev, DenmarkRichard J COTE - Department of Urology, University of Southern California Keck School of Medicine, Los Angeles, CA, United States
- Publication Details
- European urology, Vol.57(1), pp.12-20
- Publisher
- Elsevier; Kidlington
- Academic Unit
- Miller School of Medicine; UMMG Department of Pathology
- Language
- English
- Resource Type
- Journal article
- PMID
- 19762144
- PMCID
- PMC2828516
- Record Identifier
- 991031560666402976
Journal article
Predicting Recurrence and Progression of Noninvasive Papillary Bladder Cancer at Initial Presentation Based on Quantitative Gene Expression Profiles
European urology, Vol.57(1), pp.12-20
2010
PMCID: PMC2828516
PMID: 19762144
Metrics
4 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.233 Pelvic & Renal Disorders
- 1.233.690 Bladder Cancer
- Web Of Science research areas
- Urology & Nephrology
- ESI research areas
- Clinical Medicine
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites