A comparison between histological grade and nuclear morphometry for predicting the clinical outcome of localized renal cell carcinoma

1996 ◽  
Vol 78 (1) ◽  
pp. 33-38 ◽  
Author(s):  
O. Nativ ◽  
E. Sabo ◽  
J. Bejar ◽  
S. Halachmi ◽  
B. Moskovitz ◽  
...  
2021 ◽  
Author(s):  
Shruti Agrawal ◽  
Nikunj Jain

Background: Renal cell carcinoma (RCC) comprises of a spectrum of clinico-pathologically distinct entities thereby making it difficult to accurately predict the clinical outcome. Though many predictive factors have been described in literature, tumor stage and nuclear grade have been established to consistently correlate with the tumor behaviour. However, tumors in the same stage have shown to behave differently. Similarly subjectivity and lack of reproducibility in nuclear grade mandates use of more objective parameters such as digital nuclear morphometry which could provide consistent and more reliable results in predicting prognosis. The study was conducted with the main objective of comparing the histological grade and the nuclear morphometric variables in RCC for predicting the clinical outcome. Material and methods: A total of 219 cases of renal tumors in adults were retrieved retrospectively from the archives of pathology department in Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow and their clinical, gross and microscopic features were noted. Nuclear grading was done in 181 cases of clear cell and papillary RCC of which computer-assisted morphometry for various nuclear parameters was done in 100 cases where a follow-up data of at least 3 years was available. Nuclear grade and morphometric parameters were correlated statistically with the clinical outcome of the patients. Results: Histological nuclear grade did not show statistically significant correlation with progression free survival (PFS). Higher values of mean nuclear area, mean nuclear circumference, mean nuclear major diameter and mean nuclear minor diameter were significant predictors of PFS with a strong inverse correlation. Conclusion: Nuclear morphometry is a more reliable predictor of clinical outcome in patients of RCC when compared to histological grade and should be included in predictive model with other clinical and pathological parameters to accurately determine tumor behaviour


Urology ◽  
1993 ◽  
Vol 42 (3) ◽  
pp. 243-248 ◽  
Author(s):  
Charles R. Pound ◽  
Alan W. Partin ◽  
Jonathan I. Epstein ◽  
Jonathan W. Simons ◽  
Fray E. Marshall

1997 ◽  
Vol 158 (3) ◽  
pp. 729-732 ◽  
Author(s):  
Ofer Nativ ◽  
Edmond Sabo ◽  
Gil Raviv ◽  
Shahar Madjar ◽  
Sarel Halachmi ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 301-301
Author(s):  
Yasumasa Iimura ◽  
Kazutaka Saito ◽  
Minato Yokoyama ◽  
Hitoshi Masuda ◽  
Tsuyoshi Kobayashi ◽  
...  

Metabolites ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 10
Author(s):  
Corina Daniela Ene ◽  
Mircea Nicolae Penescu ◽  
Simona Roxana Georgescu ◽  
Mircea Tampa ◽  
Ilinca Nicolae

Posttranslational modifications are dynamic enzymatic-mediated processes, regulated in time and space, associated with cancer development. We aimed to evaluate the significance of posttranslational modifications in the pathogenesis of clear cell renal cell carcinoma. The authors developed a prospective, observational study during a period of three years and included 55 patients with localized renal cell carcinoma and 30 heathy subjects. Glycosylation, nitration and carbonylation, thiol-disulfide homeostasis, methylation, phosphorylation and proteolytic cleavage were evaluated in the serum of the evaluated subjects in the present study. Our results showed some characteristics for early ccRCC: high production of cytokines, substrate hypersialylation, induced nitrosative and carbonylic stress, arginine hypermethylation, thiol/disulfide homeostasis (TDH) alteration, the regulatory role of soluble receptors (sRAGE, sIL-6R) in RAGE and IL-6 signaling, the modulatory effect of TK-1and TuM2-PK in controlling the level of phosphometabolites in neoplastic cells. These data could be the initial point for development of a panel of biomarkers such as total sialic acid, orosomucoids, nitrotyrosine, carbonylic metabolites, ADMA, SDMA, and thiol-disulfide equilibrium for early diagnosis of ccRCC. Moreover, they could be considered a specific disease PTM signature which underlines the transition from early to advanced stages in this neoplasia, and of a therapeutic target in kidney oncogenesis.


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