ReviewWorld journal of urology2018
WHO/ISUP classification, grading and pathological staging of renal cell carcinoma: standards and controversies.
Review in World journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 1 of them a synthesis that pooled it.
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Who cites it
150 citing papers in PubMed, 1 synthesis or guideline pooled it.
- First-line therapy for adults with advanced renal cell carcinoma: a systematic review and network meta-analysis.The Cochrane database of systematic reviews · 2023Pooled it
- Quantitative MRI for World Health Organisation/International Society of Urological Pathology Grading of Renal Cell Carcinoma: a systematic review and diagnostic meta-analysis.European radiology · 2026Article
- Repurposing Seleno-L-Methionine as a Pleiotropic Immunomodulatory Agent to Overcome TGF-β1/HIF-Driven Immune Evasion in Clear Cell Renal Cell Carcinoma: Mechanistic Insights and Translational Therapeutic Opportunities.International journal of molecular sciences · 2026Review
- Spine-anchored active contour-based renal spatial prioritization for precision-constrained volumetric segmentation of bilateral nephric tumors via spine-guided 3D deep encoders in abdominopelvic tomographic data.Radiological physics and technology · 2026Article
- Bioinformatics analysis and experimental validation confirm COL6A3 as a promising target for renal cell carcinoma therapy.Translational andrology and urology · 2026Article
- CT-Based Peritumoral and Perirenal Fat Radiomics in Renal Cell Carcinoma: A Systematic Review and Meta-Analysis of Grade, Stage, and Adherent Perinephric Fat Prediction.Journal of clinical medicine · 2026Review
- Sarcomatoid Renal Cell Carcinoma: A Clinical Review.Diagnostics (Basel, Switzerland) · 2026Review
- Artificial intelligence empowers full-stack histopathological diagnosis and prognosis of renal cell tumor: a multi-center study with external validation.BMC medicine · 2026Article
- Deep-learning-based artificial intelligence approaches for grading and progression prediction of clear cell renal cell carcinoma.iScience · 2026Article
- Preoperative lung immune prognostic index (LIPI) predicts postoperative outcomes in clear cell renal cell carcinoma: a multicenter study.Scientific reports · 2026Article
- Epithelial-Mesenchymal Transition Markers in Clear Cell Renal Cell Carcinoma: Expression Patterns and Prognostic Significance.Journal of personalized medicine · 2026Article
- Application of carbonic anhydrase IX-targeted radiopharmaceuticals in the diagnosis and treatment of clear cell renal cell carcinoma (Review).Oncology letters · 2026Review
- Repressive regulatory function of seryl-tRNA synthetase on VEGFA gene expression is impaired in renal cell carcinoma.Croatian medical journal · 2026Article
- The mechanism of the PI3K-AKT-mTOR signaling pathway in renal cell carcinoma: current developments and future prospects.Frontiers in oncology · 2026Review
- Evaluation of [EJNMMI research · 2025Article
- Risk Factors of Preoperative Renal Dysfunction and Its Impact on Survival in Patients with Renal Tumor and Inferior Vena Cava Tumor Thrombus.Annals of surgical oncology · 2025Article
- New Method Enhanced Extraction of Protein Signatures of Renal Cell Carcinoma from Proteomics Data.Journal of proteome research · 2025Article
- Automated Detection and Grading of Renal Cell Carcinoma in Histopathological Images via Efficient Attention Transformer Network.Medical sciences (Basel, Switzerland) · 2025Article
- Quantitative analysis of lymphocyte exhaustion markers in patients with localized clear cell renal cell carcinoma.Oncology letters · 2025Article
- Antitumor Activity of Alexidine Dihydrochloride Nanocarriers in Renal Cell Carcinoma.Molecular pharmaceutics · 2025Article
90 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePathological parameters assessed on biopsies and resection specimens have a pivotal role in the diagnosis, prognosis and management of patients with renal cell carcinoma (RCC).
methodsA non-systematic literature search was performed, updated to January 2018, to identify key standards and controversies in the pathological classification, grading and staging of RCC.
resultsAlthough most RCCs exhibit characteristic morphology that enables easy categorisation, RCCs show considerable morphological heterogeneity and it is not uncommon for there to be difficulty in assigning a tumour type, especially with rarer tumour subtypes. The differentiation between benign and malignant oncocytic tumours remains a particular challenge. The development of additional immunohistochemical and molecular tests is needed to facilitate tumour typing, because of the prognostic and therapeutic implications, and to enable more reliable identification of poorly differentiated metastatic tumours as being of renal origin. Any new tests need to be applicable to small biopsy samples, to overcome the heterogeneity of renal tumours. There is also a need to facilitate identification of tumour types that have genetic implications, to allow referral and management at specialist centres. Digital pathology has a potential role in such referral practice.
conclusionMuch has been done to standardise pathological assessment of renal cell carcinomas in recent years, but there still remain areas of difficulty in classification and grading of these heterogeneous tumours.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.