Urological Cancers Presentations in Manipur –are they Different from Other Regions of India?

2021 ◽  
pp. 50-55
Author(s):  
Desai Fanny S. ◽  
Nongthombam Jitendra ◽  
Lisam Shanjukumar Singh
Keyword(s):  
2019 ◽  
Vol 10 ◽  
Author(s):  
Perrine Bohner ◽  
Mathieu F. Chevalier ◽  
Valérie Cesson ◽  
Sonia-Christina Rodrigues-Dias ◽  
Florence Dartiguenave ◽  
...  

Author(s):  
Fatemeh Khatami ◽  
Mandana Hassanzad ◽  
Shekoufeh Nikfar ◽  
Fateme Guitynavard ◽  
Samira Karimaee ◽  
...  

2014 ◽  
Vol 10 (13) ◽  
pp. 2061-2072 ◽  
Author(s):  
Cristina Nanni ◽  
Lucia Zanoni ◽  
Stefano Fanti

2010 ◽  
Vol 7 (4) ◽  
pp. 195-205 ◽  
Author(s):  
Makarand V. Khochikar
Keyword(s):  

BMC Cancer ◽  
2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Mahiben Maruthappu ◽  
Isobel Barnes ◽  
Shameq Sayeed ◽  
Raghib Ali

2001 ◽  
Vol 88 (6) ◽  
pp. 493-499 ◽  
Author(s):  
J. Shah ◽  
J. Vale ◽  
A. Darzi
Keyword(s):  

2003 ◽  
Vol 43 (3) ◽  
pp. 309-319 ◽  
Author(s):  
M.V Cronauer ◽  
W.A Schulz ◽  
H.-H Seifert ◽  
R Ackermann ◽  
M Burchardt

Metabolites ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 591
Author(s):  
Sujin Lee ◽  
Ja Yoon Ku ◽  
Byeong Jin Kang ◽  
Kyung Hwan Kim ◽  
Hong Koo Ha ◽  
...  

Prostate cancer (PCa), bladder cancer (BCa), and renal cell carcinoma (RCC) are the most prevalent cancer among urological cancers. However, there are no cancer-specific symptoms that can differentiate them as well as early clinical signs of urological malignancy. Furthermore, many metabolic studies have been conducted to discover their biomarkers, but the metabolic profiling study to discriminate between these cancers have not yet been described. Therefore, in this study, we aimed to investigate the urinary metabolic differences in male patients with PCa (n = 24), BCa (n = 29), and RCC (n = 12) to find the prominent combination of metabolites between cancers. Based on 1H NMR analysis, orthogonal partial least-squares discriminant analysis was applied to find distinct metabolites among cancers. Moreover, the ranked analysis of covariance by adjusting a potential confounding as age revealed that 4-hydroxybenzoate, N-methylhydantoin, creatinine, glutamine, and acetate had significantly different metabolite levels among groups. The receiver operating characteristic analysis created by prominent five metabolites showed the great discriminatory accuracy with AUC > 0.7 for BCa vs. RCC, PCa vs. BCa, and RCC vs. PCa. This preliminary study compares the metabolic profiles of BCa, PCa, and RCC, and reinforces the exploratory role of metabolomics in the investigation of human urine.


2016 ◽  
Vol 13 (6) ◽  
pp. 334-352 ◽  
Author(s):  
Zahid Delwar ◽  
Kaixin Zhang ◽  
Paul S. Rennie ◽  
William Jia

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