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1.
USP31 serves as a potential biomarker for predicting prognosis and immune responses for clear cell renal cell carcinoma via single-cell and bulk RNA-sequencing.
J Gene Med
; 26(1): e3594, 2024 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-37699648
2.
Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images.
J Transl Med
; 22(1): 568, 2024 Jun 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-38877591
3.
A machine learning model based on MRI for the preoperative prediction of bladder cancer invasion depth.
Eur Radiol
; 33(12): 8821-8832, 2023 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-37470826
4.
A novel ferroptosis-related gene signature associated with cell cycle for prognosis prediction in patients with clear cell renal cell carcinoma.
BMC Cancer
; 22(1): 1, 2022 Jan 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-34979993
5.
Targeting lipid biosynthesis on the basis of conventional treatments for clear cell renal cell carcinoma: A promising therapeutic approach.
Life Sci
; 336: 122329, 2024 Jan 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-38052321
6.
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
; 110(5): 2970-2977, 2024 May 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-38445478
7.
Dynamic changes of SCGN expression imply different phases of clear cell renal cell carcinoma progression.
Discov Oncol
; 15(1): 205, 2024 Jun 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-38831128
8.
Integrative analysis of ferroptosis regulators for clinical prognosis based on deep learning and potential chemotherapy sensitivity of prostate cancer.
Precis Clin Med
; 6(1): pbad001, 2023 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-36874167
9.
Development and verification of a deep learning-based m6A modification model for clinical prognosis prediction of renal cell carcinoma.
J Cancer Res Clin Oncol
; 149(15): 14283-14296, 2023 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-37558767
10.
Histone demethylase KDM4B contributes to advanced clear cell renal carcinoma and association with copy number variations and cell cycle progression.
Epigenetics
; 18(1): 2192319, 2023 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-36952476
11.
Screening and identification of prognostic genes associated with eosinophilic features of clear cell renal cell carcinoma.
Heliyon
; 9(6): e16479, 2023 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-37274638
12.
Artificial intelligence-based non-invasive tumor segmentation, grade stratification and prognosis prediction for clear-cell renal-cell carcinoma.
Precis Clin Med
; 6(3): pbad019, 2023 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-38025974
13.
The Dual Role of USP11 in Cancer.
J Oncol
; 2022: 9963905, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35359344
14.
HIF1A predicts the efficacy of anti-PD-1 therapy in advanced clear cell renal cell carcinoma.
Transl Oncol
; 26: 101554, 2022 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-36191462
15.
Lactic Acid Metabolism and Transporter Related Three Genes Predict the Prognosis of Patients with Clear Cell Renal Cell Carcinoma.
Genes (Basel)
; 13(4)2022 03 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-35456426
16.
Cuproptosis-Related Genes Are Associated with Cell Cycle and Serve as the Prognostic Signature for Clear Cell Renal Cell Carcinoma.
J Clin Med
; 11(24)2022 Dec 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-36556123
17.
Robust Prediction of Prognosis and Immunotherapeutic Response for Clear Cell Renal Cell Carcinoma Through Deep Learning Algorithm.
Front Immunol
; 13: 798471, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35197975
18.
Machine learning-based prognosis signature for survival prediction of patients with clear cell renal cell carcinoma.
Heliyon
; 8(9): e10578, 2022 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-36158103
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