The multispeciality approach to the management of localised kidney cancer

GD Stewart, T Klatte, L Cosmai, A Bex, BW Lamb… - The Lancet, 2022 - thelancet.com
Historically, kidney cancer was approached in a siloed single-speciality way, with urological
surgeons managing the localised stages of the disease and medical oncologists caring for …

French AFU Cancer Committee Guidelines-update 2022-2024: management of kidney cancer

P Bigot, P Barthelemy, R Boissier, ZE Khene… - Progrès en Urologie, 2022 - Elsevier
Aim To update the recommendations for the management of kidney cancers. Methods A
systematic review of the literature was conducted from 2015 to 2022. The most relevant …

Application of machine learning models to predict recurrence after surgical resection of nonmetastatic renal cell carcinoma

ZE Khene, P Bigot, N Doumerc, I Ouzaid… - European urology …, 2023 - Elsevier
Background Predictive tools can be useful for adapting surveillance or including patients in
adjuvant trials after surgical resection of nonmetastatic renal cell carcinoma (RCC). Current …

UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)

G Margue, L Ferrer, G Etchepare, P Bigot… - NPJ Precision …, 2024 - nature.com
Renal cell carcinoma (RCC) is most often diagnosed at a localized stage, where surgery is
the standard of care. Existing prognostic scores provide moderate predictive performance …

Adjuvant immunotherapy in renal cell carcinoma: a systematic review and meta‐analysis

C Riveros, E Huang, S Ranganathan… - BJU …, 2023 - Wiley Online Library
Objectives To synthesise available data regarding the disease‐free survival (DFS) benefit of
adjuvant immune checkpoint inhibitors (ICIs) for patients with renal cell carcinoma (RCC) …

Development and External Validation of nomograms for Predicting Disease-Free Survival and overall survival in patients with cT1-ccRCC after partial nephrectomy: a …

H Xu, Z Xing, J Wang, Z Lv, P Deng, Y Hong… - Annals of Surgical …, 2024 - Springer
Background To develop a novel nomogram for predicting 2-year and 5-year disease-free
survival (DFS) and overall survival (OS) in patients with cT1-clear cell renal cell carcinoma …

Critical appraisal of leibovich 2018 and GRANT models for prediction of cancer-specific survival in non-metastatic chromophobe renal cell carcinoma

ML Piccinelli, S Morra, S Tappero, C Cano Garcia… - Cancers, 2023 - mdpi.com
Simple Summary To date, guideline-recommended prognostic models predicting cancer-
control outcomes in chromophobe kidney cancer patients have never been validated in a …

Predicting recurrence and survival in patients with non-metastatic renal-cell carcinoma after nephrectomy: a prospective population-based study with multicenter …

Y Wang, Y Xuan, B Su, Y Gao, Y Fan… - … Journal of Surgery, 2024 - journals.lww.com
Background: Accurate prognostication of oncological outcomes is crucial for the optimal
management of patients with renal cell carcinoma (RCC) after surgery. Previous prediction …

[HTML][HTML] Local treatment of recurrent renal cell carcinoma may have a significant survival effect across all risk-of-recurrence groups

L Marconi, T Kuusk, U Capitanio, C Beisland… - European Urology Open …, 2023 - Elsevier
Background Retrospective comparative studies suggest a survival benefit after complete
local treatment of recurrence (LTR) in renal cell carcinoma (RCC), which may be largely due …

Three-dimensional deep learning model complements existing models for preoperative disease-free survival prediction in localized clear cell renal cell carcinoma: a …

Y Xv, Z Wei, Q Jiang, X Zhang, Y Chen… - … Journal of Surgery, 2024 - journals.lww.com
Background: Current prognostic models have limited predictive abilities for the growing
number of localized (stage I–III) ccRCCs. It is, therefore, crucial to explore novel …