scholarly journals Role of Re-Resection in Non–Muscle-Invasive Bladder Cancer

2011 ◽  
Vol 11 ◽  
pp. 283-288 ◽  
Author(s):  
Harry W. Herr

Restaging, or second transurethral resection (TUR), is essential to successful management of high-risk, non–muscle-invasive bladder cancer. Here we review the relevant literature documenting the role of restaging TUR. Cohort and randomized studies show that restaging TUR detects more tumors than initial TUR, improves clinical staging, and reduces the frequency of early tumor recurrences. Our conclusions show thatrestaging TUR improves the outcomes of high-risk, non–muscle-invasive bladder neoplasms.

2017 ◽  
Vol 15 (4) ◽  
pp. e661-e666 ◽  
Author(s):  
Gian Maria Busetto ◽  
Matteo Ferro ◽  
Francesco Del Giudice ◽  
Gabriele Antonini ◽  
Benjamin I. Chung ◽  
...  

2014 ◽  
Vol 2 (3) ◽  
pp. 125-131
Author(s):  
Joshua Luck

The management of muscle invasive bladder cancer represents an unresolved clinical challenge. Invasive urothelial carcinomas are associated with high mortality rates and early metastatic disease. Radical cystectomy is a recognized standard of care, although disease-free survival outcomes remain suboptimal. The limitations of pre-operative clinical staging, as well as the complex natural history of the disease, precludes the introduction of simple management protocols. To what degree chemotherapy and radiotherapy may be useful in the surgical management of invasive bladder cancer remains contentious. This literature review critically examines the benefits, risks and difficulties of each approach, with an emphasis on individually tailored therapy.


2020 ◽  
Vol 19 (4) ◽  
pp. 177-181
Author(s):  
Abulfaz Abbaslı ◽  
Sinharib Çitgez ◽  
Çetin Demirdağ ◽  
Ahmet Gürbüz ◽  
Ahmet Erözenci

2021 ◽  
Author(s):  
Stefan Garczyk ◽  
Felix Bischoff ◽  
Ursula Schneider ◽  
Reinhard Golz ◽  
Friedrich-Carl von Rundstedt ◽  
...  

AbstractReliable factors predicting the disease course of non-muscle-invasive bladder cancer (NMIBC) with carcinoma in situ (CIS) are unavailable. Molecular subtypes have potential for prognostic stratification of muscle-invasive bladder cancer, while their value for CIS patients is unknown. Here, the prognostic impact of both clinico-pathological parameters, including CIS focality, and immunohistochemistry-based surrogate subtypes was analyzed in a cohort of high-risk NMIBC patients with CIS. In 128 high-risk NMIBC patients with CIS, luminal (KRT20, GATA3, ERBB2) and basal (KRT5/6, KRT14) surrogate markers as well as p53 were analyzed in 213–231 biopsies. To study inter-lesional heterogeneity of CIS, marker expression in independent CIS biopsies from different bladder localizations was analyzed. Clinico-pathological parameters and surrogate subtypes were correlated with recurrence-free (RFS), progression-free (PFS), cancer-specific (CSS), and overall survival (OS). Forty-six and 30% of CIS patients exhibited a luminal-like (KRT20-positive, KRT5/6-negative) and a null phenotype (KRT20-negative, KRT5/6-negative), respectively. A basal-like subtype (KRT20-negative, KRT5/6-positive) was not observed. A significant degree of inter-lesional CIS heterogeneity was noted, reflected by 23% of patients showing a mixed subtype. Neither CIS surrogate subtype nor CIS focality was associated with patient outcome. Patient age and smoking status were the only potentially independent prognostic factors predicting RFS, PFS, OS, and PFS, respectively. In conclusion, further clarification of heterogeneity of surrogate subtypes in HR NMIBC and their prognostic value is of importance with regard to potential implementation of molecular subtyping into clinical routine. The potential prognostic usefulness of patient age and smoking status for high-risk NMIBC patients with CIS needs further validation.


Cancers ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1624
Author(s):  
Christos G. Gavriel ◽  
Neofytos Dimitriou ◽  
Nicolas Brieu ◽  
Ines P. Nearchou ◽  
Ognjen Arandjelović ◽  
...  

The clinical staging and prognosis of muscle-invasive bladder cancer (MIBC) routinely includes the assessment of patient tissue samples by a pathologist. Recent studies corroborate the importance of image analysis in identifying and quantifying immunological markers from tissue samples that can provide further insight into patient prognosis. In this paper, we apply multiplex immunofluorescence to MIBC tissue sections to capture whole-slide images and quantify potential prognostic markers related to lymphocytes, macrophages, tumour buds, and PD-L1. We propose a machine-learning-based approach for the prediction of 5 year prognosis with different combinations of image, clinical, and spatial features. An ensemble model comprising several functionally different models successfully stratifies MIBC patients into two risk groups with high statistical significance (p value < 1×10−5). Critical to improving MIBC survival rates, our method correctly classifies 71.4% of the patients who succumb to MIBC, which is significantly more than the 28.6% of the current clinical gold standard, the TNM staging system.


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