Kidney Cancer

How artificial intelligence is transforming Kidney Cancer detection, diagnosis, and treatment.

243 Papers Open Access

Showing all 243 papers

Cited by 1249
Epidemiology of Renal Cell Carcinoma

World J Oncol, 2020

Open Access
Cited by 576
Molecular Subsets in Renal Cancer Determine Outcome to Checkpoint and Angiogenesis Blockade.

Cancer Cell, 2020

Open Access
Cited by 290
Robotic partial nephrectomy for complex renal tumors: surgical technique.

Eur Urol, 2008

Open Access
Cited by 286
Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning.

Sci Rep, 2019

Open Access
Cited by 201
Molecular analysis of tumor margins by MALDI mass spectrometry in renal carcinoma.

J Proteome Res, 2010

Open Access
Cited by 179
An Empirical Approach Leveraging Tumorgrafts to Dissect the Tumor Microenvironment in Renal Cell Carcinoma Identifies Missing Link to Prognostic Inflammatory Factors.

Cancer Discov, 2018

Open Access
Cited by 169
Epidemiology and Prevention of Renal Cell Carcinoma

Cancers (Basel), 2022

Open Access
Cited by 167
Robot-assisted partial nephrectomy: a large single-institutional experience.

Urology, 2010

Open Access
Cited by 158
Novel Imaging Methods for Renal Mass Characterization: A Collaborative Review.

Eur Urol, 2022

Open Access
Cited by 155
Kidney Tumor Detection and Classification Based on Deep Learning Approaches: A New Dataset in CT Scans

J Healthc Eng, 2022

Open Access
Cited by 138
Comparison of open and minimally invasive partial nephrectomy for renal tumors 4-7 centimeters.

Eur Urol, 2012

Open Access
Cited by 118
Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer.

Sci Rep, 2017

Open Access
Cited by 107
Kidney Cancer Prediction Empowered with Blockchain Security Using Transfer Learning.

Sensors (Basel), 2022

Open Access
Cited by 107
Robot-assisted laparoscopic partial nephrectomy for tumors greater than 4 cm and high nephrometry score: feasibility, renal functional, and oncological outcomes with minimum 1 year follow-up.

Urol Oncol, 2013

Open Access
Cited by 105
Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides.

Sci Rep, 2021

Open Access
Cited by 102
Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma.

Nat Commun, 2020

Open Access
Cited by 100
Identification of topological features in renal tumor microenvironment associated with patient survival.

Bioinformatics, 2018

Open Access
Cited by 80
An Electronic Health Record Text Mining Tool to Collect Real-World Drug Treatment Outcomes: A Validation Study in Patients With Metastatic Renal Cell Carcinoma.

Clin Pharmacol Ther, 2020

Open Access
Cited by 75
Identification of genes and pathways involved in kidney renal clear cell carcinoma.

BMC Bioinformatics, 2014

Open Access
Cited by 75
Machine learning-based pathomics signature could act as a novel prognostic marker for patients with clear cell renal cell carcinoma.

Br J Cancer, 2022

Open Access
Cited by 75
Radiogenomics in Renal Cancer Management-Current Evidence and Future Prospects.

Int J Mol Sci, 2023

Open Access
Cited by 74
Automated clear cell renal carcinoma grade classification with prognostic significance.

PLoS One, 2019

Open Access
Cited by 63
Weakly-supervised convolutional neural networks of renal tumor segmentation in abdominal CTA images.

BMC Med Imaging, 2020

Open Access
Cited by 61
Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.

Medicine (Baltimore), 2019

Open Access
Cited by 60
DNA Methylation Signature Reveals Cell Ontogeny of Renal Cell Carcinomas.

Clin Cancer Res, 2016

Open Access
Cited by 57
Identification of prognostic genes in kidney renal clear cell carcinoma by RNA‑seq data analysis.

Mol Med Rep, 2017

Open Access
Cited by 56
New Therapeutic Interventions for Kidney Carcinoma: Looking to the Future

Cancers (Basel), 2022

Open Access
Cited by 53
Machine Learning-Enabled Renal Cell Carcinoma Status Prediction Using Multiplatform Urine-Based Metabolomics.

J Proteome Res, 2021

Open Access
Cited by 52
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study.

J Digit Imaging, 2020

Open Access
Cited by 52
The Arkadia-ESRP2 axis suppresses tumor progression: analyses in clear-cell renal cell carcinoma.

Oncogene, 2016

Open Access
Cited by 50
ASD-Net: a novel U-Net based asymmetric spatial-channel convolution network for precise kidney and kidney tumor image segmentation.

Med Biol Eng Comput, 2024

Open Access
Cited by 49
Impact of renal cell carcinoma molecular subtypes on immunotherapy and targeted therapy outcomes.

Cancer Cell, 2024

Open Access
Cited by 47
Deep learning based classification of solid lipid-poor contrast enhancing renal masses using contrast enhanced CT.

Br J Radiol, 2020

Open Access
Cited by 45
Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep Learning.

Cancer Res, 2022

Open Access
Cited by 42
A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma.

BMC Cancer, 2021

Open Access
Cited by 41
Radiomics models based on enhanced computed tomography to distinguish clear cell from non-clear cell renal cell carcinomas.

Sci Rep, 2021

Open Access
Cited by 39
Artificial intelligence links CT images to pathologic features and survival outcomes of renal masses.

Nat Commun, 2025

Open Access
Cited by 38
Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.

PLoS One, 2022

Open Access
Cited by 37
Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma.

Aging (Albany NY), 2021

Open Access
Cited by 37
Prospective multi-center study of oncologic outcomes of robot-assisted partial nephrectomy for pT1 renal cell carcinoma.

BMC Urol, 2012

Open Access
Cited by 37
Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states

Cell Rep Med, 2023

Open Access
Cited by 35
An improved clear cell renal cell carcinoma stage prediction model based on gene sets.

BMC Bioinformatics, 2020

Open Access
Cited by 35
Experimental and computational modeling for signature and biomarker discovery of renal cell carcinoma progression.

Mol Cancer, 2021

Open Access
Cited by 34
Histopathology based AI model predicts anti-angiogenic therapy response in renal cancer clinical trial.

Nat Commun, 2025

Open Access
Cited by 33
Unsupervised Resolution of Histomorphologic Heterogeneity in Renal Cell Carcinoma Using a Brain Tumor-Educated Neural Network.

JCO Clin Cancer Inform, 2020

Open Access
Cited by 32
A pyramidal deep learning pipeline for kidney whole-slide histology images classification.

Sci Rep, 2021

Open Access
Cited by 31
A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma.

BMC Med Imaging, 2022

Open Access
Cited by 31
Identification of Six Potentially Long Noncoding RNAs as Biomarkers Involved Competitive Endogenous RNA in Clear Cell Renal Cell Carcinoma.

Biomed Res Int, 2018

Open Access
Cited by 31
Machine learning-based prediction of acute kidney injury after nephrectomy in patients with renal cell carcinoma.

Sci Rep, 2021

Open Access
Cited by 30
Incremental value of automatically segmented perirenal adipose tissue for pathological grading of clear cell renal cell carcinoma: a multicenter cohort study.

Int J Surg, 2024

Open Access
Cited by 29
A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma.

World J Urol, 2023

Open Access
Cited by 29
Deep Learning-Based Multi-Model Prediction for Disease-Free Survival Status of Patients with Clear Cell Renal Cell Carcinoma After Surgery: A Multicenter Cohort Study

Int J Surg, 2024

Open Access
Cited by 28
An automated surgical decision-making framework for partial or radical nephrectomy based on 3D-CT multi-level anatomical features in renal cell carcinoma.

Eur Radiol, 2023

Open Access
Cited by 28
Radiomics and machine learning for renal tumor subtype assessment using multiphase computed tomography in a multicenter setting.

Eur Radiol, 2024

Open Access
Cited by 28
Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment.

Cancer Imaging, 2024

Open Access
Cited by 27
Development of a prognostic composite cytokine signature based on the correlation with nivolumab clearance: translational PK/PD analysis in patients with renal cell carcinoma.

J Immunother Cancer, 2019

Open Access
Cited by 27
Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm.

Sci Rep, 2020

Open Access
Cited by 26
A multi-classifier system integrated by clinico-histology-genomic analysis for predicting recurrence of papillary renal cell carcinoma.

Nat Commun, 2024

Open Access
Cited by 26
A seven-gene signature model predicts overall survival in kidney renal clear cell carcinoma.

Hereditas, 2020

Open Access
Cited by 25
Comparative proteomic profiling identifies potential prognostic factors for human clear cell renal cell carcinoma.

Oncol Rep, 2016

Open Access
Cited by 25
Comprehensive Multi-Omics Identification of Interferon-γ Response Characteristics Reveals That RBCK1 Regulates the Immunosuppressive Microenvironment of Renal Cell Carcinoma.

Front Immunol, 2021

Open Access
Cited by 25
Computed tomography-based radiomics prediction of CTLA4 expression and prognosis in clear cell renal cell carcinoma.

Cancer Med, 2023

Open Access
Cited by 25
Interpretability of radiomics models is improved when using feature group selection strategies for predicting molecular and clinical targets in clear-cell renal cell carcinoma: insights from the TRACERx Renal study.

Cancer Imaging, 2023

Open Access
Cited by 24
Machine learning with autophagy-related proteins for discriminating renal cell carcinoma subtypes.

Sci Rep, 2020

Open Access
Cited by 23
Ceruloplasmin overexpression is associated with oncogenic pathways and poorer survival rates in clear-cell renal cell carcinoma.

FEBS Open Bio, 2021

Open Access
Cited by 23
Fully automated segmentation and classification of renal tumors on CT scans via machine learning.

BMC Cancer, 2025

Open Access
Cited by 23
MELK is Upregulated in Advanced Clear Cell Renal Cell Carcinoma and Promotes Disease Progression by Phosphorylating PRAS40.

Cell Transplant, 2019

Open Access
Cited by 23
Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.

Ultrasound Med Biol, 2019

Open Access
Cited by 23
Therapeutic and Clinical Outcomes of Robot-assisted Partial Nephrectomy Versus Cryoablation for T1 Renal Cell Carcinoma.

In Vivo, 2021

Open Access
Cited by 22
Current Treatment Options for Renal Cell Carcinoma: Focus on Cell-Based Immunotherapy

Cancers (Basel), 2024

Open Access
Cited by 21
Renal Cancer Detection: Fusing Deep and Texture Features from Histopathology Images.

Biomed Res Int, 2022

Open Access
Cited by 21
The molecular mechanism of NF-κB dysregulation across different subtypes of renal cell carcinoma.

J Adv Res, 2025

Open Access
Cited by 20
Diagnostic, predictive and prognostic molecular biomarkers in clear cell renal cell carcinoma: A retrospective study.

Cancer Rep (Hoboken), 2024

Open Access
Cited by 20
Identification and Verification of Biomarker in Clear Cell Renal Cell Carcinoma via Bioinformatics and Neural Network Model.

Biomed Res Int, 2020

Open Access
Cited by 20
STC-UNet: renal tumor segmentation based on enhanced feature extraction at different network levels.

BMC Med Imaging, 2024

Open Access
Cited by 19
A clinical prediction model for predicting the risk of liver metastasis from renal cell carcinoma based on machine learning.

Front Endocrinol (Lausanne), 2022

Open Access
Cited by 19
Alternative splicing associated with cancer stemness in kidney renal clear cell carcinoma.

BMC Cancer, 2021

Open Access
Cited by 19
Binning somatic mutations based on biological knowledge for predicting survival: an application in renal cell carcinoma.

Pac Symp Biocomput, 2015

Open Access
Cited by 19
Identification and Validation of Cuproptosis-Related LncRNA Signatures in the Prognosis and Immunotherapy of Clear Cell Renal Cell Carcinoma Using Machine Learning.

Biomolecules, 2022

Open Access
Cited by 18
Single-cell sequencing reveals novel proliferative cell type: a key player in renal cell carcinoma prognosis and therapeutic response.

Clin Exp Med, 2024

Open Access
Cited by 17
Artificial intelligence-based multimodal prediction for nuclear grading status and prognosis of clear cell renal cell carcinoma: a multicenter cohort study.

Int J Surg, 2025

Open Access
Cited by 17
Characterizing the tumor microenvironment in rare renal cancer histological types.

J Pathol Clin Res, 2022

Open Access
Cited by 17
Diagnostic performance of artificial intelligence in detection of renal cell carcinoma: a systematic review and meta-analysis.

BMC Cancer, 2025

Open Access
Cited by 17
Identification of sarcomatoid differentiation in renal cell carcinoma by machine learning on multiparametric MRI.

Sci Rep, 2021

Open Access
Cited by 17
Novel prognostic prediction model constructed through machine learning on the basis of methylation-driven genes in kidney renal clear cell carcinoma.

Biosci Rep, 2020

Open Access
Cited by 17
Prediction of pathological staging and grading of renal clear cell carcinoma based on deep learning algorithms.

J Int Med Res, 2022

Open Access
Cited by 17
Supervised Learning and Multi-Omics Integration Reveals Clinical Significance of Inner Membrane Mitochondrial Protein (IMMT) in Prognostic Prediction, Tumor Immune Microenvironment and Precision Medicine for Kidney Renal Clear Cell Carcinoma.

Int J Mol Sci, 2023

Open Access
Cited by 16
Global, regional, and national burden of kidney cancer and attributable risk factors in adults aged 65 years and older from 1990 to 2021 and projections to 2040

BMC Cancer, 2025

Open Access
Cited by 16
Identification of prognosis-related alternative splicing events in kidney renal clear cell carcinoma.

J Cell Mol Med, 2019

Open Access
Cited by 16
Label-Free SERS of Urine Components: A Powerful Tool for Discriminating Renal Cell Carcinoma through Multivariate Analysis and Machine Learning Techniques.

Int J Mol Sci, 2024

Open Access
Cited by 16
Robotic Partial vs Radical Nephrectomy for Clinical T3a Tumors: A Narrative Review.

J Endourol, 2023

Open Access
Cited by 16
The clinical significance of UBE2C gene in progression of renal cell carcinoma.

Eur J Histochem, 2021

Open Access
Cited by 15
AI predictive modeling of survival outcomes for renal cancer patients undergoing targeted therapy.

Sci Rep, 2024

Open Access
Cited by 15
Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images.

J Transl Med, 2024

Open Access
Cited by 15
Identifying potential risk genes for clear cell renal cell carcinoma with deep reinforcement learning.

Nat Commun, 2025

Open Access
Cited by 14
CT-based conventional radiomics and quantification of intratumoral heterogeneity for predicting benign and malignant renal lesions.

Cancer Imaging, 2024

Open Access
Cited by 14
Improving CNNs classification with pathologist-based expertise: the renal cell carcinoma case study.

Sci Rep, 2023

Open Access
Cited by 14
Robust Prediction of Prognosis and Immunotherapeutic Response for Clear Cell Renal Cell Carcinoma Through Deep Learning Algorithm.

Front Immunol, 2022

Open Access
Cited by 14
State of the art review of AI in renal imaging.

Abdom Radiol (NY), 2025

Open Access
Cited by 14
The synergism of spatial metabolomics and morphometry improves machine learning-based renal tumour subtype classification.

Clin Transl Med, 2022

Open Access
Cited by 14
Using deep learning to differentiate among histology renal tumor types in computed tomography scans.

BMC Med Imaging, 2025

Open Access
Cited by 13
Deciphering the tumour microenvironment of clear cell renal cell carcinoma: Prognostic insights from programmed death genes using machine learning.

J Cell Mol Med, 2024

Open Access
Cited by 13
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma.

BMC Med Inform Decis Mak, 2024

Open Access
Cited by 12
A Robust Deep Learning Method with Uncertainty Estimation for the Pathological Classification of Renal Cell Carcinoma Based on CT Images.

J Imaging Inform Med, 2025

Open Access
Cited by 12
Aggressiveness classification of clear cell renal cell carcinoma using registration-independent radiology-pathology correlation learning.

Med Phys, 2025

Open Access
Cited by 12
AI-generated R.E.N.A.L.+ Score Surpasses Human-generated Score in Predicting Renal Oncologic Outcomes.

Urology, 2023

Open Access
Cited by 12
Exploring the Immune Landscape of ccRCC: Prognostic Signatures and Therapeutic Implications.

J Cell Mol Med, 2024

Open Access
Cited by 12
Identification of biomarkers and construction of a microRNA‑mRNA regulatory network for clear cell renal cell carcinoma using integrated bioinformatics analysis.

PLoS One, 2021

Open Access
Cited by 12
Integrated machine learning reveals the role of tryptophan metabolism in clear cell renal cell carcinoma and its association with patient prognosis.

Biol Direct, 2024

Open Access
Cited by 12
Machine learning-driven prognostic analysis of cuproptosis and disulfidptosis-related lncRNAs in clear cell renal cell carcinoma: a step towards precision oncology.

Eur J Med Res, 2024

Open Access
Cited by 11
Automated segmentation and volume prediction in pediatric Wilms' tumor CT using nnu-net.

BMC Pediatr, 2024

Open Access
Cited by 11
Creation of synthetic contrast-enhanced computed tomography images using deep neural networks to screen for renal cell carcinoma.

Nagoya J Med Sci, 2023

Open Access
Cited by 11
Cuproptosis gene-related, neural network-based prognosis prediction and drug-target prediction for KIRC.

Cancer Med, 2024

Open Access
Cited by 11
Early detection of renal cell carcinoma: a novel cell-free DNA fragmentomics-based liquid biopsy assay.

ESMO Open, 2025

Open Access
Cited by 11
Navigating advanced renal cell carcinoma in the era of artificial intelligence.

Cancer Imaging, 2025

Open Access
Cited by 11
Preoperative prediction of renal fibrous capsule invasion in clear cell renal cell carcinoma using CT-based radiomics model.

Br J Radiol, 2024

Open Access
Cited by 11
Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning.

Biomed Eng Online, 2023

Open Access
Cited by 11
Use of hybrid quantum-classical algorithms for enhancing biomarker classification.

PLoS One, 2025

Open Access
Cited by 10
AI-driven multimodal algorithm predicts immunotherapy and targeted therapy outcomes in clear cell renal cell carcinoma.

Cell Rep Med, 2025

Open Access
Cited by 10
Computational analysis of protein-protein interactions of cancer drivers in renal cell carcinoma.

FEBS Open Bio, 2024

Open Access
Cited by 10
Diameter-Axial-Polar Nephrometry is Predictive of Surgical Outcomes Following Partial Nephrectomy.

Medicine (Baltimore), 2015

Open Access
Cited by 10
Leveraging explainable AI and large-scale datasets for comprehensive classification of renal histologic types.

Sci Rep, 2025

Open Access
Cited by 10
Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma.

Tomography, 2020

Open Access
Cited by 10
Selection and evaluation of preoperative systemic inflammatory response biomarkers model prior to cytoreductive nephrectomy using a machine-learning approach.

World J Urol, 2022

Open Access
Cited by 10
TUBA1C orchestrates the immunosuppressive tumor microenvironment and resistance to immune checkpoint blockade in clear cell renal cell carcinoma.

Front Immunol, 2024

Open Access
Cited by 9
Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images.

Sci Rep, 2025

Open Access
Cited by 9
Development and external validation of the multichannel deep learning model based on unenhanced CT for differentiating fat-poor angiomyolipoma from renal cell carcinoma: a two-center retrospective study.

J Cancer Res Clin Oncol, 2023

Open Access
Cited by 9
Distinguishing Renal Cell Carcinoma From Normal Kidney Tissue Using Mass Spectrometry Imaging Combined With Machine Learning.

JCO Precis Oncol, 2023

Open Access
Cited by 9
Recurrence prediction in clear cell renal cell carcinoma using machine learning of quantitative nuclear features.

Sci Rep, 2023

Open Access
Cited by 9
Salvage robot-assisted partial nephrectomy for the management of renal cell carcinoma following failed stereotactic radiotherapy.

JSLS, 2012

Open Access
Cited by 8
Boosting Clear Cell Renal Carcinoma-Specific Drug Discovery Using a Deep Learning Algorithm and Single-Cell Analysis.

Int J Mol Sci, 2024

Open Access
Cited by 8
Deep learning-based decision forest for hereditary clear cell renal cell carcinoma segmentation on MRI.

Med Phys, 2023

Open Access
Cited by 8
Identification of novel biomarkers to distinguish clear cell and non-clear cell renal cell carcinoma using bioinformatics and machine learning.

PLoS One, 2024

Open Access
Cited by 8
NK cells in renal cell carcinoma and its implications for CAR-NK therapy

Front Cell Dev Biol, 2025

Open Access
Cited by 8
Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.

PLoS One, 2021

Open Access
Cited by 7
A Novel, Simple, and Low-Cost Approach for Machine Learning Screening of Kidney Cancer: An Eight-Indicator Blood Test Panel with Predictive Value for Early Diagnosis.

Curr Oncol, 2022

Open Access
Cited by 7
Deciphering the Immunomodulatory Function of GSN+ Inflammatory Cancer-Associated Fibroblasts in Renal Cell Carcinoma Immunotherapy: Insights From Pan-Cancer Single-Cell Landscape and Spatial Transcriptomics Analysis.

Cell Prolif, 2025

Open Access
Cited by 7
Driven early detection of chronic kidney cancer disease based on machine learning technique.

PLoS One, 2025

Open Access
Cited by 7
Integrated RNA sequencing analysis and machine learning identifies a metabolism-related prognostic signature in clear cell renal cell carcinoma.

Sci Rep, 2025

Open Access
Cited by 7
Machine learning based prediction for oncologic outcomes of renal cell carcinoma after surgery using Korean Renal Cell Carcinoma (KORCC) database.

Sci Rep, 2023

Open Access
Cited by 7
Machine Learning-based Framework Develops a Tumor Thrombus Coagulation Signature in Multicenter Cohorts for Renal Cancer.

Int J Biol Sci, 2024

Open Access
Cited by 7
MorphoITH: a framework for deconvolving intra-tumor heterogeneity using tissue morphology.

Genome Med, 2025

Open Access
Cited by 7
Multi-omics analysis reveals the role of ribosome biogenesis in malignant clear cell renal cell carcinoma and the development of a machine learning-based prognostic model.

Front Immunol, 2025

Open Access
Cited by 7
The Construction and Validation of a new Predictive Model for Overall Survival of Clear Cell Renal Cell Carcinoma Patients with Bone Metastasis Based on Machine Learning Algorithm.

Technol Cancer Res Treat, 2023

Open Access
Cited by 7
Three-dimensional deep learning model complements existing models for preoperative disease-free survival prediction in localized clear cell renal cell carcinoma: a multicenter retrospective cohort study.

Int J Surg, 2024

Open Access
Cited by 6
Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease.

Hum Mol Genet, 2024

Open Access
Cited by 6
Integration analysis identifies MYBL1 as a novel immunotherapy biomarker affecting the immune microenvironment in clear cell renal cell carcinoma: Evidence based on machine learning and experiments.

Front Immunol, 2022

Open Access
Cited by 6
Machine learning-based on cytotoxic T lymphocyte evasion gene develops a novel signature to predict prognosis and immunotherapy responses for kidney renal clear cell carcinoma patients.

Front Immunol, 2023

Open Access
Cited by 6
Multidimensional Analyses of Tumor Immune Microenvironment Reveal the Possible Rationality of Immunotherapy and Identify High Immunotherapy Response Subtypes for Renal Papillary Cell Carcinoma.

Front Immunol, 2021

Open Access
Cited by 6
Robot-assisted partial nephrectomy for large complex renal cancer: step-by-step segmental artery unclamping.

Int Braz J Urol, 2023

Open Access
Cited by 6
SiRCle (Signature Regulatory Clustering) model integration reveals mechanisms of phenotype regulation in renal cancer.

Genome Med, 2024

Open Access
Cited by 6
Using machine learning to predict lymph node metastasis in patients with renal cell carcinoma: A population-based study.

Front Public Health, 2023

Open Access
Cited by 5
A comprehensive analysis of Wnt/β-catenin signaling pathway-related genes and crosstalk pathways in the treatment of As2O3 in renal cancer.

Ren Fail, 2018

Open Access
Cited by 5
Agreement between Routine-Dose and Lower-Dose CT with and without Deep Learning-based Denoising for Active Surveillance of Solid Small Renal Masses: A Multiobserver Study.

Radiol Imaging Cancer, 2025

Open Access
Cited by 5
Machine Learning Gene Signature to Metastatic ccRCC Based on ceRNA Network.

Int J Mol Sci, 2024

Open Access
Cited by 5
Percutaneous Image-Guided Ablation of Renal Cancer: Traditional and Emerging Indications, Energy Sources, Techniques, and Future Developments.

Medicina (Kaunas), 2025

Open Access
Cited by 5
Prognostic Impact of MITD1 and Associates With Immune Infiltration in Kidney Renal Clear Cell Carcinoma.

Technol Cancer Res Treat, 2021

Open Access
Cited by 5
The Role of Surgery in Metastatic Renal Cell Carcinoma in 2024

Clin Med Insights Oncol, 2024

Open Access
Cited by 4
Automated Detection and Grading of Renal Cell Carcinoma in Histopathological Images via Efficient Attention Transformer Network.

Med Sci (Basel), 2025

Open Access
Cited by 4
Comprehensive investigation of malignant epithelial cell-related genes in clear cell renal cell carcinoma: development of a prognostic signature and exploration of tumor microenvironment interactions.

J Transl Med, 2024

Open Access
Cited by 4
Computer vision assisted deep transfer learning model for accurate grading of renal cell carcinoma from kidney histopathology images.

Sci Rep, 2025

Open Access
Cited by 4
Deep learning-based prediction of tumor aggressiveness in RCC using multiparametric MRI: a pilot study.

Int Urol Nephrol, 2025

Open Access
Cited by 4
Development and External Validation of Machine Learning-Based Models for Predicting Lung Metastasis in Kidney Cancer: A Large Population-Based Study.

Int J Clin Pract, 2023

Open Access
Cited by 4
Exosome-related lncRNA score: A value-based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma.

Cancer Med, 2024

Open Access
Cited by 4
Integrated machine learning survival framework develops a prognostic model based on macrophage-related genes and programmed cell death signatures in a multi-sample Kidney renal clear cell carcinoma.

Cell Biol Toxicol, 2025

Open Access
Cited by 4
Machine learning models predict the progression of long-term renal insufficiency in patients with renal cancer after radical nephrectomy.

BMC Nephrol, 2024

Open Access
Cited by 4
Machine Learning-Based Pathomics Model to Predict the Prognosis in Clear Cell Renal Cell Carcinoma.

Technol Cancer Res Treat, 2024

Open Access
Cited by 4
Multimodal deep learning framework integrating multiphase CT and histopathological whole slide imaging for predicting recurrence in ccRCC.

Sci Rep, 2025

Open Access
Cited by 4
Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets.

BMC Med Imaging, 2025

Open Access
Cited by 4
RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning.

BMC Med Inform Decis Mak, 2024

Open Access
Cited by 4
Rising incidence and clinical impact of kidney cancer in China and worldwide: a call for targeted prevention, early diagnosis, and equitable treatment

Transl Androl Urol, 2025

Open Access
Cited by 4
Weighted Gene Coexpression Network Analysis to Construct Competitive Endogenous RNA Network in Chromogenic Renal Cell Carcinoma.

Biomed Res Int, 2021

Open Access
Cited by 3
A Prognostic Risk Signature Based on Myeloid-Derived Suppressor Cells and Regulatory T Cells in Clear Cell Renal Cell Carcinoma.

Technol Cancer Res Treat, 2025

Open Access
Cited by 3
Advanced transformer with attention-based neural network framework for precise renal cell carcinoma detection using histological kidney images.

Sci Rep, 2025

Open Access
Cited by 3
Comprehensive multi-omics analysis reveals a combination of lncRNAs that synergistically regulate glycolysis and immunotherapeutic effects in renal clear cell carcinoma.

Aging (Albany NY), 2024

Open Access
Cited by 3
Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma.

BMC Med Imaging, 2025

Open Access
Cited by 3
Influence of Dietary Polyunsaturated Fatty Acid Intake on Potential Lipid Metabolite Diagnostic Markers in Renal Cell Carcinoma: A Case-Control Study.

Nutrients, 2024

Open Access
Cited by 3
Integrating machine learning and multi-omics analysis to unveil key programmed cell death patterns and immunotherapy targets in kidney renal clear cell carcinoma.

Sci Rep, 2025

Open Access
Cited by 3
Integration of proteomics and transcriptomics to construct a prognostic signature of renal clear cell carcinoma.

Int J Med Sci, 2024

Open Access
Cited by 3
Low gamma-butyrobetaine dioxygenase (BBOX1) expression as a prognostic biomarker in patients with clear cell renal cell carcinoma: a machine learning approach.

J Pathol Clin Res, 2023

Open Access
Cited by 3
Machine learning-derived prognostic signature integrating programmed cell death and mitochondrial function in renal clear cell carcinoma: identification of PIF1 as a novel target.

Cancer Immunol Immunother, 2025

Open Access
Cited by 3
Potential value of mitochondrial regulatory pathways in the clinical application of clear cell renal cell carcinoma: a machine learning-based study.

J Cancer Res Clin Oncol, 2023

Open Access
Cited by 3
Preliminary experience of oblique occlusion technique in robot-assisted infrahepatic inferior vena cava thrombectomy: step-by-step procedures and short term outcomes.

BMC Surg, 2022

Open Access
Cited by 3
Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma.

J Cancer Res Clin Oncol, 2025

Open Access
Cited by 3
Radiomics for differential diagnosis of Bosniak II-IV renal masses via CT imaging.

BMC Cancer, 2024

Open Access
Cited by 3
Renal Cell Carcinoma Discrimination through Attenuated Total Reflection Fourier Transform Infrared Spectroscopy of Dried Human Urine and Machine Learning Techniques.

Int J Mol Sci, 2024

Open Access
Cited by 3
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