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Background/aim: Clear cell renal cell carcinoma (ccRCC) is the most common type of kidney cancer, accounting for approximately 75% of kidney cancers. The objective of this study was to identify novel progression markers for ccRCC based on proteomics, with the goal of stage determination and early diagnosis of kidney cancer patients.
Materials And Methods: We performed quantitative global proteomics coupled with Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) and high-resolution tandem mass spectrometry on kidney-derived cells, including HEK-293, 786-O (primary ccRCC), and Caki-1 (metastatic ccRCC) cells, to investigate the novel progression factors of ccRCC.
Results: In this study, a total of 1,106 proteins were quantified. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted for differentially expressed proteins (DEPs) that were increased in ccRCC cells compared to HEK-293 cells. Ultimately, 99 DEPs including 75 up-regulated and 24 down-regulated proteins, that were significantly altered in both ccRCC cells, were identified. Among DEPs, vimentin was identified as the most significantly changed protein. Its increased expression in ccRCC was verified through immunoblotting in ccRCC cell lines and immunohistochemistry in kidney tumors.
Conclusion: From the global proteomics data detected in ccRCC, we propose 99 DEPs including vimentin as progression factors.
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http://dx.doi.org/10.21873/cgp.20480 | DOI Listing |
Eur J Case Rep Intern Med
August 2025
Nephrology Department, Unidade Local de Saúde de Braga, Braga, Portugal.
Introduction: Bevacizumab is a monoclonal antibody that targets vascular endothelial growth factor (VEGF) and is widely used in oncology for its anti-angiogenic properties. However, VEGF inhibition may result in significant nephrotoxicity, including thrombotic microangiopathy (TMA). While systemic TMA is well-described, isolated renal-limited TMA remains under recognised.
View Article and Find Full Text PDFBlood Cell Ther
August 2025
Japanese Data Center for Hematopoietic Cell Transplantation (JDCHCT), Department of Registry Science for Transplant and Cellular Therapy, Aichi Medical University School of Medicine, Nagakute, Japan.
[This corrects the article DOI: 10.31547/bct-2024-020.].
View Article and Find Full Text PDFEClinicalMedicine
October 2025
Child Health Evaluative Sciences, The Hospital for Sick Children Research Institute, 686 Bay St., Toronto, Ontario, Canada.
Background: While testicular germ cell tumors (TGCT) survival exceeds 90%, many survivors of adult TGCT are at risk for treatment toxicities. Less is known about physical morbidities in children, adolescents, and young adults (CAYA) with TGCT.
Methods: We used the Pediatric Oncology Group of Ontario Networked Information System, the Initiative to Maximize Progress in Adolescent and Young Adult Cancer Therapy, and the Ontario Cancer Registry to identify all CAYA males diagnosed with TGCT from 1992 to 2021 at age 11-21 years in Ontario, Canada.
Exp Clin Transplant
August 2025
>From the University Clinic for Nephrology, Faculty of Medicine, Saints Cyril and Methodius University in Skopje, Skopje, North Macedonia.
Posttransplant lymphoproliferative disorders are a serious complication after solid-organ transplant, with a reported incidence from 2% to 20%. Plasma cell neoplasms in solid-organ transplants represent a rare but increasingly serious complication after solid-organ transplant. We report a case of plasmablastic myeloma, a very rare variant of multiple myeloma with aggressive course and poor prognosis.
View Article and Find Full Text PDFCancer Med
September 2025
Institute for Regenerative Medicine, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Background: Patients with clear cell renal cell carcinoma (ccRCC) often undergo organ resection, with treatment strategies based on recurrence risk. Current metastatic potential assessments rely on the WHO/ISUP grading system, which is subject to interobserver variability.
Methods: We developed an artificial intelligence (AI) model to classify cells according to contemporary grading rules and evaluated the prognostic significance of tumor cell profiles, particularly focusing on cells with prominent nucleoli.