Clear Cell Renal Cell Carcinoma
What's New
Last Posted: Apr 09, 2024
- Incremental value of automatically segmented perirenal adipose tissue for pathological grading of clear cell renal cell carcinoma: a multicenter cohort study.
Shichao Li et al. Int J Surg 2024 - ANO4 Expression Is a Potential Prognostic Biomarker in Non-Metastasized Clear Cell Renal Cell Carcinoma.
Ahmed H Al Sharie et al. Journal of personalized medicine 2023 13(2) - Differentiation of clear cell and non-clear-cell renal cell carcinoma through CT-based Radiomics models and nomogram.
Cheng Delu et al. Current medical imaging 2022 - Machine learning to improve prognosis prediction of metastatic clear-cell renal cell carcinoma treated with cytoreductive nephrectomy and systemic therapy.
Yang Wenjie et al. Bosnian journal of basic medical sciences 2022 - Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.
Wessels Frederik et al. PloS one 2022 17(8) e0272656 - A Novel Machine Learning 13-Gene Signature: Improving Risk Analysis and Survival Prediction for Clear Cell Renal Cell Carcinoma Patients.
Terrematte Patrick et al. Cancers 2022 14(9) - Comprehensive Analysis of mC RNA Methylation Regulator Genes in Clear Cell Renal Cell Carcinoma.
Wu Jiajin et al. International journal of genomics 2021 20213803724 - 8q24 clear cell renal cell carcinoma germline variant is associated with VHL mutation status and clinical aggressiveness.
Eckel-Passow Jeanette E et al. BMC urology 2020 Oct 20(1) 173 - An optimal prognostic model based on gene expression for clear cell renal cell carcinoma.
Xu Dan et al. Oncology letters 2020 Sep 20(3) 2420-2434 - Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma.
He Zihao et al. Bioscience reports 2020 Aug - Identification of a Glucose Metabolism-related Signature for prediction of Clinical Prognosis in Clear Cell Renal Cell Carcinoma.
Wang Sheng et al. Journal of Cancer 2020 11(17) 4996-5006 - Prognostic Value of DNA Methylation-Driven Genes in Clear Cell Renal Cell Carcinoma: A Study Based on Methylation and Transcriptome Analyses.
Hu Maolin et al. Disease markers 2020 20208817652 - Identification and Comprehensive Validation of a DNA Methylation-Driven Gene-Based Prognostic Model for Clear Cell Renal Cell Carcinoma.
Zhang Di et al. DNA and cell biology 2020 Jul - Immunogenomics of Metastatic Clear-Cell Renal Cell Carcinoma: Remarkable Response to Nivolumab in a Patient With a Pathogenic Germ Line BRCA1 Mutation.
Beulque Yana et al. Clinical genitourinary cancer 2019 17(5) e909-e912 - A new survival model based on ferroptosis-related genes for prognostic prediction in clear cell renal cell carcinoma.
Wu Guangzhen et al. Aging 2020 Jul 12 - A CT-based deep learning model for predicting the nuclear grade of clear cell renal cell carcinoma.
Lin Fan et al. European journal of radiology 2020 May 129109079 - MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study.
Stanzione Arnaldo et al. Journal of digital imaging 2020 Apr - C1QTNF6 as a Novel Diagnostic and Prognostic Biomarker for Clear Cell Renal Cell Carcinoma.
Lin Wanzun et al. DNA and cell biology 2020 Apr - Cancer Genetics and Therapeutic Opportunities in Urologic Practice.
Adashek Jacob J et al. Cancers 2020 Mar 12(3) - Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.
Nazari Mostafa et al. La Radiologia medica 2020 Mar
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Rare Disease PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to rare diseases...more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 14, 2024
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