STAG2 Is a Biomarker for Prediction of Recurrence and Progression in Papillary Non–Muscle-Invasive Bladder Cancer
STAG2 Is a Biomarker for Prediction of Recurrence and Progression in Papillary Non–Muscle-Invasive Bladder Cancer
Abstract Purpose: Most bladder cancers are early-stage tumors known as papillary non–muscle-invasive bladder cancer (NMIBC). After resection, up to 70% of NMIBCs recur locally, and up to 20% of these recurrences progress to muscle invasion. There is an unmet need for additional biomarkers for stratifying tumors based on their risk of recurrence and progression. We previously identified STAG2 as among the most commonly mutated genes in NMIBC and provided initial evidence in a pilot cohort that STAG2-mutant tumors recurred less frequently than STAG2 wild-type tumors. Here, we report a STAG2 biomarker validation study using two independent cohorts of clinically annotated papillary NMIBC tumors from the United States and Europe. Experimental Design: The value of STAG2 immunostaining for prediction of recurrence was initially evaluated in a cohort of 82 patients with papillary NMIBC (“Georgetown cohort”). Next, the value of STAG2 immunostaining for prediction of progression to muscle invasion was evaluated in a progressor-enriched cohort of 253 patients with papillary NMIBC (“Aarhus cohort”). Results: In the Georgetown cohort, 52% of NMIBC tumors with intact STAG2 expression recurred, whereas 25% of STAG2-deficient tumors recurred (P = 0.02). Multivariable analysis identified intact STAG2 expression as an independent predictor of recurrence (HR = 2.4; P = 0.05). In the progressor-enriched Aarhus cohort, 38% of tumors with intact STAG2 expression progressed within 5 years, versus 16% of STAG2-deficient tumors (P < 0.01). Multivariable analysis identified intact STAG2 expression as an independent predictor of progression (HR = 1.86; P = 0.05). Conclusions: STAG2 IHC is a simple, binary, new assay for risk stratification in papillary NMIBC. Clin Cancer Res; 24(17); 4145–53. ©2018 AACR.
- MedStar Washington Hospital Center United States
- MedStar Health United States
- University of California, San Francisco United States
- Hackensack University Medical Center United States
- Georgetown University United States
Urologic Diseases, Male, Oncology and Carcinogenesis, Cell Cycle Proteins, Disease-Free Survival, EWING SARCOMA, Clinical Research, Genetics, Humans, Nuclear, Neoplasm Invasiveness, GENOMIC LANDSCAPE, Oncology & Carcinogenesis, Antigens, Cancer, Aged, Neoplasm Staging, PROGNOSTIC PROTEIN MARKERS, Neoplastic, ANEUPLOIDY, MUTATIONS, Muscles, Antigens, Nuclear, Middle Aged, Gene Expression Regulation, Neoplastic, Neoplasm Recurrence, Gene Expression Regulation, Local, Urinary Bladder Neoplasms, Disease Progression, INACTIVATION, Female, Neoplasm Recurrence, Local, COSTS
Urologic Diseases, Male, Oncology and Carcinogenesis, Cell Cycle Proteins, Disease-Free Survival, EWING SARCOMA, Clinical Research, Genetics, Humans, Nuclear, Neoplasm Invasiveness, GENOMIC LANDSCAPE, Oncology & Carcinogenesis, Antigens, Cancer, Aged, Neoplasm Staging, PROGNOSTIC PROTEIN MARKERS, Neoplastic, ANEUPLOIDY, MUTATIONS, Muscles, Antigens, Nuclear, Middle Aged, Gene Expression Regulation, Neoplastic, Neoplasm Recurrence, Gene Expression Regulation, Local, Urinary Bladder Neoplasms, Disease Progression, INACTIVATION, Female, Neoplasm Recurrence, Local, COSTS
2 Research products, page 1 of 1
- 2020IsAmongTopNSimilarDocuments
- 2014IsAmongTopNSimilarDocuments
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
