Predicting Papillary Renal Cell Carcinoma Prognosis Using Integrative Analysis of Histopathological Images and Genomic Data-Reference-Cited by-同舟云学术

Predicting Papillary Renal Cell Carcinoma Prognosis Using Integrative Analysis of Histopathological Images and Genomic Data

Published:2023 Issue: Volume: Page:208-221
ISSN:0302-9743
Container-title:Bioinformatics and Biomedical Engineering
language:
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Author:

Kee Shaira L.^ORCID,Sy Michael Aaron G.^ORCID,Border Samuel P.^ORCID,Lucarelli Nicholas J.^ORCID,Gupta Akshita^ORCID,Sarder Pinaki^ORCID,Masalunga Marvin C.^ORCID,Tan Myles Joshua T.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-34960-7_15

Reference48 articles.

1. Siegel, R.L., Miller, K.D., Jemal, A.: Cancer statistics, 2020. CA. Cancer J. Clin. 70(1), 7–30 (2020). https://doi.org/10.3322/caac.21590

2. Cheng, J., et al.: Integrative analysis of histopathological images and genomic data predicts clear cell renal cell carcinoma prognosis. Cancer Res. 77(21), e91–e100 (2017). https://doi.org/10.1158/0008-5472.CAN-17-0313

3. Filippou, P., Shuch, B., Psutka, S.P.: Advances in the characterization of clear cell papillary renal cell carcinoma: identifying the sheep in wolf’s clothing. Eur. Urol. 79(4), 478–479 (2021). https://doi.org/10.1016/j.eururo.2021.01.023

4. Morlote, D.M., Harada, S., Batista, D., Gordetsky, J., Rais-Bahrami, S.: Clear cell papillary renal cell carcinoma: molecular profile and virtual karyotype. Hum. Pathol. 91, 52–60 (2019). https://doi.org/10.1016/j.humpath.2019.05.011

5. Rysz, J., Franczyk, B., Ławiński, J., Gluba-Brzózka, A.: Characteristics of clear cell papillary Renal Cell Carcinoma (ccpRCC). Int. J. Mol. Sci. 23(1), 151 (2021). https://doi.org/10.3390/ijms23010151