BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 34824449)

  • 1. Machine learning-based pathomics signature could act as a novel prognostic marker for patients with clear cell renal cell carcinoma.
    Chen S; Jiang L; Gao F; Zhang E; Wang T; Zhang N; Wang X; Zheng J
    Br J Cancer; 2022 Mar; 126(5):771-777. PubMed ID: 34824449
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Clinical use of a machine learning histopathological image signature in diagnosis and survival prediction of clear cell renal cell carcinoma.
    Chen S; Zhang N; Jiang L; Gao F; Shao J; Wang T; Zhang E; Yu H; Wang X; Zheng J
    Int J Cancer; 2021 Feb; 148(3):780-790. PubMed ID: 32895914
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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.
    Chen S; Gao F; Guo T; Jiang L; Zhang N; Wang X; Zheng J
    Int J Surg; 2024 May; 110(5):2970-2977. PubMed ID: 38445478
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Novel Nomogram Based on Machine Learning-Pathomics Signature and Neutrophil to Lymphocyte Ratio for Survival Prediction of Bladder Cancer Patients.
    Chen S; Jiang L; Zhang E; Hu S; Wang T; Gao F; Zhang N; Wang X; Zheng J
    Front Oncol; 2021; 11():703033. PubMed ID: 34222026
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Clinical use of machine learning-based pathomics signature for diagnosis and survival prediction of bladder cancer.
    Chen S; Jiang L; Zheng X; Shao J; Wang T; Zhang E; Gao F; Wang X; Zheng J
    Cancer Sci; 2021 Jul; 112(7):2905-2914. PubMed ID: 33931925
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and verification of a nomogram for prediction of recurrence-free survival in clear cell renal cell carcinoma.
    Chen Y; Jiang S; Lu Z; Xue D; Xia L; Lu J; Wang H; Xu L; Li L; Li G
    J Cell Mol Med; 2020 Jan; 24(2):1245-1255. PubMed ID: 31782902
    [TBL] [Abstract][Full Text] [Related]  

  • 7. N6‑methyladenosine RNA methylation regulators participate in malignant progression and have prognostic value in clear cell renal cell carcinoma.
    Zheng Z; Mao S; Guo Y; Zhang W; Liu J; Li C; Yao X
    Oncol Rep; 2020 May; 43(5):1591-1605. PubMed ID: 32323803
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma.
    Lin F; Cui EM; Lei Y; Luo LP
    Abdom Radiol (NY); 2019 Jul; 44(7):2528-2534. PubMed ID: 30919041
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel ferroptosis-related gene signature associated with cell cycle for prognosis prediction in patients with clear cell renal cell carcinoma.
    Chen S; Zhang E; Guo T; Shao J; Wang T; Zhang N; Wang X; Zheng J
    BMC Cancer; 2022 Jan; 22(1):1. PubMed ID: 34979993
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
    Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
    Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of a three-miRNA signature as a novel potential prognostic biomarker in patients with clear cell renal cell carcinoma.
    Luo Y; Chen L; Wang G; Xiao Y; Ju L; Wang X
    J Cell Biochem; 2019 Aug; 120(8):13751-13764. PubMed ID: 30957284
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel 10 glycolysis-related genes signature could predict overall survival for clear cell renal cell carcinoma.
    Xing Q; Zeng T; Liu S; Cheng H; Ma L; Wang Y
    BMC Cancer; 2021 Apr; 21(1):381. PubMed ID: 33836688
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Nomogram Based on microRNA Signature Contributes to Improve Survival Prediction of Clear Cell Renal Cell Carcinoma.
    Zhao E; Bai X
    Biomed Res Int; 2020; 2020():7434737. PubMed ID: 32280701
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Low level of isocitrate dehydrogenase 1 predicts unfavorable postoperative outcomes in patients with clear cell renal cell carcinoma.
    Laba P; Wang J; Zhang J
    BMC Cancer; 2018 Aug; 18(1):852. PubMed ID: 30153799
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prognostic Value of a Long Non-coding RNA Signature in Localized Clear Cell Renal Cell Carcinoma.
    Qu L; Wang ZL; Chen Q; Li YM; He HW; Hsieh JJ; Xue S; Wu ZJ; Liu B; Tang H; Xu XF; Xu F; Wang J; Bao Y; Wang AB; Wang D; Yi XM; Zhou ZK; Shi CJ; Zhong K; Sheng ZC; Zhou YL; Jiang J; Chu XY; He J; Ge JP; Zhang ZY; Zhou WQ; Chen C; Yang JH; Sun YH; Wang LH
    Eur Urol; 2018 Dec; 74(6):756-763. PubMed ID: 30143382
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and validation of a prognostic immune-associated gene signature in clear cell renal cell carcinoma.
    Shen C; Liu J; Wang J; Zhong X; Dong D; Yang X; Wang Y
    Int Immunopharmacol; 2020 Apr; 81():106274. PubMed ID: 32044664
    [TBL] [Abstract][Full Text] [Related]  

  • 17. High Expression of Colony-Stimulating Factor 1 Receptor Associates with Unfavorable Cancer-Specific Survival of Patients with Clear Cell Renal Cell Carcinoma.
    Yang L; Liu Y; An H; Chang Y; Zhang W; Zhu Y; Xu L; Xu J
    Ann Surg Oncol; 2016 Mar; 23(3):1044-52. PubMed ID: 26467457
    [TBL] [Abstract][Full Text] [Related]  

  • 18. High expression of Mucin13 associates with grimmer postoperative prognosis of patients with non-metastatic clear-cell renal cell carcinoma.
    Xu Z; Liu Y; Yang Y; Wang J; Zhang G; Liu Z; Fu H; Wang Z; Liu H; Xu J
    Oncotarget; 2017 Jan; 8(5):7548-7558. PubMed ID: 27911274
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images.
    Gao F; Jiang L; Guo T; Lin J; Xu W; Yuan L; Han Y; Yang J; Pan Q; Chen E; Zhang N; Chen S; Wang X
    J Transl Med; 2024 Jun; 22(1):568. PubMed ID: 38877591
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning-based integration develops a stress response stated T cell (Tstr)-related score for predicting outcomes in clear cell renal cell carcinoma.
    Yang S; Han Z; Tan Z; Wu Z; Ye J; Cai S; Feng Y; He H; Wen B; Zhu X; Ye Y; Huang H; Wang S; Zhong W; Deng Y
    Int Immunopharmacol; 2024 May; 132():112017. PubMed ID: 38599101
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.