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12: Evaluating global disparities in clinical trial availability for renal cell carcinoma – PMC

12: Evaluating global disparities in clinical trial availability for renal cell carcinoma – PMC

By Ruchi Agarwal, Jaya Goud, Miguel Zugman, Daniela Castro, Xiaochen Li, Koral Shah, Lily Lau, Aaron Lee, Salvador Jaime-Casas, Hedyeh Ebrahimi, Gabriela Regalado-Porras, Sharon Choi, Nora Sobrevilla-Moreno, Erika Ruiz-Garcia, Shivanee Kooner, Skylar Reid, Nasr Chaudhary, Rana McKay, Sumanta Pal & Regina Barragan-Carrillo | 10 October 2025 | Articles, Around the Web
Clinical trials are the cornerstone for generating high-quality evidence to improve patient outcomes. In metastatic renal cell carcinoma (RCC), ...
Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images

Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images

By Eliazer, M., Kumar, Guntupalli Manoj, Amaran, Sibi, Shasikala, Y., Sahu, Monalisa, Dash, Bibhuti Bhusan & Bala, Kanchan | 9 October 2025 | Articles, Around the Web
Renal cell carcinoma (RCC) is one of the typical categories of kidney cancer and is a varied group of malignancies arising from epithelial cells of the kidney parenchyma. RCC has more than ten subtypes. Classification of RCC sub-types is mainly according to morphologic features seen on ...
A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images

A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images

By Bamaqa, Amna & Alahamade, Wedad O. | 9 October 2025 | Articles, Around the Web
Kidney cancer, specifically renal cell carcinoma (RCC), represents a major global health issue, with increasing incidence rates, highlighting the necessity for effective and accurate diagnostic systems. Traditional methods for RCC grading, such as manual histopathological analysis, are labor ...
Racial differences in kidney cancer histology and outcome: A nationwide study from the UroCCR Cohort – PMC

Racial differences in kidney cancer histology and outcome: A nationwide study from the UroCCR Cohort – PMC

By Xiaofan Lu, Jean‐Christophe Bernhard, Gaëlle Margue, François Audenet, Nicolas Doumerc, Pierre Merlin, Morgan Roupret, Thibaut Waeckel, Cécile Champy, Louis Surlemont, Jonathan Olivier, Nicolas Branger, Bastien Parier, Victor Gaillard, Franck Bruyere, Alexis Fontenil, Constance Michel, Louis Vignot, Jean‐Luc Descotes, Guillaume Loison, Julien Guillotreau, Fayek Taha, Frédéric Panthier, Stéphane De Vergie, Idir Ouzaid, Romain Boissier, Jean‐Jacques Patard, Pierre Gimel, Igor Duquesne, Khalil Chalhoub, Pierre Bigot & Gabriel G Malouf | 9 October 2025 | Articles, Around the Web
Black patients in France exhibit a higher prevalence of non–clear cell renal cell carcinoma subtypes and are diagnosed at younger ages with ...
The integrate profiling of single-cell and spatial transcriptome RNA-seq reveals tumor heterogeneity, therapeutic targets, and prognostic subtypes in ccRCC

The integrate profiling of single-cell and spatial transcriptome RNA-seq reveals tumor heterogeneity, therapeutic targets, and prognostic subtypes in ccRCC

By Yang, Yingying, Sun, Di, Ma, Xiaohong, Wang, Tianqi & Wu, Jitao | 8 October 2025 | Articles, Around the Web
This study aimed to analyze the infiltration of tumor-associated macrophages (TAMs) in clear cell renal cell carcinoma (ccRCC) and to assess their Prognostic significance. This study involved a Cohort of 106 patients with ccRCC who underwent partial or radical nephrectomy. Immunohistochemistry ...
Single-cell transcriptional profiling of clear cell renal cell carcinoma reveals a tumor-associated endothelial tip cell phenotype

Single-cell transcriptional profiling of clear cell renal cell carcinoma reveals a tumor-associated endothelial tip cell phenotype

By Guo, Fengran, Ma, Ziyang, Wang, Hu & Han, Zhenwei | 6 October 2025 | Articles, Around the Web
Renal cell carcinoma (RCC) is one of the most prevalent categories of cancer worldwide, accounting for approximately 2% of cancer diagnoses and cancer deaths worldwide. various immunotherapeutic strategies have emerged as key approaches to managing advanced RCC. Bioinformatics methodologies ...
Predicting the prognosis of patients with renal cell carcinoma based on the systemic immune inflammation index and prognostic nutritional index

Predicting the prognosis of patients with renal cell carcinoma based on the systemic immune inflammation index and prognostic nutritional index

By Goksen, Hatice Basaran & Arslan, Alaettin | 6 October 2025 | Articles, Around the Web
This study aimed to compare the prognostic significance of inflammatory and nutritional parameters, calculated based on hemogram and biochemical values at the time of diagnosis, in patients diagnosed with renal cell carcinoma (RCC). A total of 120 patients diagnosed with RCC and receiving ...
Tivozanib Plus Nivolumab vs Tivozanib Monotherapy in Patients With Renal Cell Carcinoma Following an Immune Checkpoint Inhibitor: Results of the Phase 3 TiNivo-2 Study – PMC

Tivozanib Plus Nivolumab vs Tivozanib Monotherapy in Patients With Renal Cell Carcinoma Following an Immune Checkpoint Inhibitor: Results of the Phase 3 TiNivo-2 Study – PMC

By Toni K Choueiri, Laurence Albiges, Philippe Barthélémy, Roberto Iacovelli, Sheik Emambux, Javier Molina-Cerrillo, Benjamin Garmezy, Pedro Barata, Arnab Basu, Maria T Bourlon, Helen Moon, Raffaele Ratta, Rana R McKay, Alexander Chehrazi-Raffle, Hans Hammers, Daniel YC Heng, Edgar Braendle, Kathryn E Beckermann, Bradley A McGregor & Robert J Motzer | 5 October 2025 | Articles, Around the Web
... -line treatment for advanced renal cell carcinoma (aRCC); however, optimal treatment sequencing after progression ...
A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images

A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images

By Alluhaidan, Ala Saleh, Alqahtani, Mohammed, khan, Jahangir, Althobaiti, Turke, Aljehane, Nojood O., Almansour, Hamad & Alanazi, Sultan | 3 October 2025 | Articles, Around the Web
Renal cancer is a key reason for cancer-related deaths among males worldwide. Earlier diagnosis of renal cancer is critical since it can considerably increase the chance of survivability. However evaluating the histopathological renal tissue is a tedious process and usually, this is manually ...
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