Background: Preoperative prediction of clear cell renal cell carcinoma (ccRCC) grade can support optimal selection of surgical resection strategies. Currently, there is no effective preoperative method for accurately assessing the histologic grade of ccRCC. More precise, non-invasive prediction methods are needed.
Purpose: To investigate the parameter of amide proton transfer-weighted (APTw) MRI for prediction of pathological ccRCC grade and whether the combination of the APTw, Diffusion-Weighted Imaging (DWI), and mDixon MRI techniques can improve the prediction performance.
Materials And Methods: This prospective study included ccRCC patients who underwent multiparametric MRI examinations (including APTw, DWI, and mDixon) along with contrast-enhanced CT or MRI examinations from March 2021 to June 2024. The mean, maximum, minimum, and standard deviation (SD) values from APTw and apparent diffusion coefficient (ADC) imaging of the solid tumor portions and the fat fraction (FF) values from mDixon imaging were measured. The area under the receiver operating characteristic curve (AUC) values for the parameters were calculated to evaluate the diagnostic performance.
Results: A total of 48 ccRCC patients (mean age, 65 years; 32 males) were included, of whom 10 had high-grade ccRCC and 38 had low-grade ccRCC. Compared with low-grade ccRCC, high-grade ccRCC exhibited higher APTw (2.28 % vs. 4.17 %; P < .05), APTw (4.97 % vs. 8.48 %; P < .01), and APTwSD (1.10 vs. 1.75; P < .01) values as well as lower ADC values (1.23 × 10 mm/s vs. 0.94 × 10 mm/s; P < .05). The AUC values for the ability of APTw, APTw, APTwSD, ADC, and these factors combined to distinguish between low-grade and high-grade ccRCC were 0.728, 0.786, 0.832, 0.741, and 0.858, respectively.
Conclusion: APTw, APTw, APTwSD, and ADC values are potential indicators for preoperative prediction of ccRCC pathologic grade. APTw parameters offer certain advantages for use alone or in combination with other parameters.
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http://dx.doi.org/10.1016/j.mri.2025.110332 | DOI Listing |
J Transl Med
January 2025
Medical School of Nanjing University, Nanjing, 210093, China.
Background: Clear cell renal cell carcinoma (ccRCC) has a high incidence rate and poor prognosis, and currently lacks effective therapies. Recently, peptide-based drugs have shown promise in cancer treatment. In this research, a new endogenous peptide called CBDP1 was discovered in ccRCC and its potential anti-cancer properties were examined.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Clear cell renal cell carcinoma is a prevalent urological malignancy, imposing substantial burdens on both patients and society. In our study, we used bioinformatics methods to select four putative target genes associated with EMT and prognosis and developed a nomogram model which could accurately predicting 5-year patient survival rates. We further analyzed proteome and single-cell data and selected PLCG2 and TMEM38A for the following experiments.
View Article and Find Full Text PDFBiochim Biophys Acta Mol Basis Dis
January 2025
Department of Urology, Urology Research Institute, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China; Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China. Electronic address:
Objective: The aim of this work is to identify putative hub genes for the advancement of clear cell renal cell carcinoma (ccRCC) and determine the fundamental mechanisms.
Methods: We employed multiple bioinformatics techniques to screen hub genes. Key hub gene expression levels in ccRCC were assessed.
Objective: The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC).
Methods: A total of 143 ccRCC patients were included in the training cohort, and 62 ccRCC patients were included in the validation cohort. The CT images from all patients were normalized, and the tumor regions were manually segmented via ITK-SNAP software.
Cancers (Basel)
January 2025
Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA.
Renal cell carcinoma (RCC) is a heterogeneous disease that represents the most common type of kidney cancer. The classification of RCC is primarily based on distinct morphological and molecular characteristics, with two broad categories: clear cell RCC (ccRCC) and non-clear cell RCC (nccRCC). Clear cell RCC is the predominant subtype, representing about 70-80% of all RCC cases, while non-clear cell subtypes collectively make up the remaining 20-30%.
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