Inverse correlation of intracellular calcium and cyclic AMP levels in renal cell carcinoma

2012 ◽  
Vol 30 (8) ◽  
pp. 619-622 ◽  
Author(s):  
Ujjawal Sharma ◽  
Shrawan Kumar Singh ◽  
Prasad Rajendra
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


2004 ◽  
Vol 11 (11) ◽  
pp. 948-953 ◽  
Author(s):  
TETSUYA IMAO ◽  
MASAYUKI EGAWA ◽  
HIROSHI TAKASHIMA ◽  
KIYOSHI KOSHIDA ◽  
MIKIO NAMIKI

Oncotarget ◽  
2016 ◽  
Vol 7 (13) ◽  
pp. 16325-16337 ◽  
Author(s):  
Haihui Zhuang ◽  
Xiangyu Meng ◽  
Yanyuan Li ◽  
Xue Wang ◽  
Shuaishuai Huang ◽  
...  

2016 ◽  
Author(s):  
Xiaona Wei ◽  
Yukti Choudhury ◽  
Weng Khong Lim ◽  
John Anema ◽  
Richard J. Kahnoski ◽  
...  

AbstractPURPOSEEvaluation of 12 ccRCC publicly-available ccRCC gene expression datasets showed that previously proposed discrete molecular subtypes are unstable. To reflect the continuous nature of gene expression observed, we developed a quantitative score (Continuous Linear Enhanced Assessment of Renal cell carcinoma, or CLEAR) using expression analysis founded on pathologic parameters.MATERIALS AND METHODS265 ccRCC gene expression profiles were used to develop the CLEAR score, representing a genetic correlate of the continuum of morphological tumor grade. A signature derivation method based on correlation of CLEAR score with gene expression ranking was used to derive an 18-transcript signature. External validation was conducted in multiple public expression datasets.ResultsAs a measure of intertumoral gene expression heterogeneity, the CLEAR score demonstrated both superior prognostic estimates (94% vs 83% adequacy index in TCGA dataset) and inverse correlation with anti-angiogenic tyrosine-kinase inhibition (65% vs 55% adequacy index) in comparison to previously proposed discrete subtyping classifications. Inverse correlation with high-dose interleukin-2 outcomes was also observed for the CLEAR score (p=0.05). Multiple somatic mutations (VHL, PBRM1, SETD2, KDM5C, TP53, BAP1, PTEN, MTOR) were associated with the CLEAR score. Application of the CLEAR score to independent expression profiling of intratumoral ccRCC regions demonstrated its ability to reflect intratumoral expression heterogeneity and further analysis showed average intertumoral heterogeneity exceeded intratumoral heterogeneity.ConclusionsThe CLEAR score, a gene expression signature developed on histopathology, outperformed discrete subtype-classification in prognostic estimates and correlated better with treatment outcomes. Recognizing cancer as a continuum has important implications for laboratory and clinical research.


2007 ◽  
Vol 177 (4S) ◽  
pp. 413-413
Author(s):  
Marco Roscigno ◽  
Roberto Bertini ◽  
Cesare Cozzarini ◽  
Alessandra Pasta ◽  
Mattia Sangalli ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 413-413
Author(s):  
Yu-Ning Wong ◽  
Brian L. Egleston ◽  
Ismail R. Saad ◽  
Robert G. Uzzo

2007 ◽  
Vol 177 (4S) ◽  
pp. 305-305
Author(s):  
Richard A. Ashley ◽  
Jonathan C. Routh ◽  
Sameer A. Siddiqui ◽  
Brant A. Inman ◽  
Thomas J. Sebo ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 303-304 ◽  
Author(s):  
Tobias Klatte ◽  
Heiko Wunderlich ◽  
Jean-Jacques Patard ◽  
Mark D. Kleid ◽  
John S. Lam ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document