Urine aquaporin 1 and perilipin 2 differentiate renal carcinomas from other imaged renal masses and bladder and prostate cancer.

Mayo Clin Proc

Department of Anesthesiology, Division of Clinical and Translational Research, Washington University in St Louis, St Louis, MO; Siteman Cancer Center, Washington University in St Louis, St Louis, MO; Department of Biochemistry and Molecular Biophysics, Washington University in St Louis, St Louis, MO.

Published: January 2015

Objective: To evaluate the sensitivity and specificity of urine aquaporin 1 (AQP1) and perilipin 2 (PLIN2) concentrations to diagnose clear cell or papillary renal cell carcinoma (RCC) by comparing urine concentrations of these unique biomarkers in patients with RCC, noncancer renal masses, bladder cancer, and prostate cancer.

Methods: From February 1, 2012, through October 31, 2012, preoperative urine samples were obtained from patients with a presumptive diagnosis of RCC based on an imaged renal mass, prostate cancer, or transitional cell bladder cancer. Imaged renal masses were diagnosed postnephrectomy—as malignant or benign—by histology. Urine AQP1 and PLIN2 concentrations were measured by using a sensitive and specific Western blot and normalized to urine creatinine concentration.

Results: Median concentrations of urine AQP1 and PLIN2 in patients with clear cell and papillary RCC (n=47) were 29 and 36 relative absorbance units/mg urine creatinine, respectively. In contrast, median concentrations in patients with bladder cancer (n=22) and prostate cancer (n=27), patients with chromophobe tumors (n=7), and patients with benign renal oncocytomas (n=9) and angiomyolipomas (n=7) were all less than 10 relative absorbance units/mg urine creatinine (Kruskal-Wallis test, P<.001 vs RCC for both biomarkers) and comparable with those in healthy controls. The area under the receiver operating characteristic curve ranged from 0.99 to 1.00 for both biomarkers.

Conclusion: These results support the specificity and sensitivity of urine AQP1 and PLIN2 concentrations for RCC. These novel tumor-specific proteins have high clinical validity and high potential as specific screening biomarkers for clear cell and papillary RCC as well as in the differential diagnosis of imaged renal masses.

Trial Registration: clinicaltrials.gov Identifier: NCT00851994.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4317334PMC
http://dx.doi.org/10.1016/j.mayocp.2014.10.005DOI Listing

Publication Analysis

Top Keywords

imaged renal
12
renal masses
12
prostate cancer
12
bladder cancer
12
urine creatinine
12
urine
9
urine aquaporin
8
masses bladder
8
plin2 concentrations
8
clear cell
8

Similar Publications

Purpose: To compare same-day photon-counting detector CT (PCD-CT) to conventional energy-integrating detector CT (EID-CT) for detection of small renal stones (≤ 3 mm).

Methods: Patients undergoing clinical dual-energy EID-CT for known or suspected stone disease underwent same-day research PCD-CT. Patients with greater than 10 stones and no visible stones under 3 mm were excluded.

View Article and Find Full Text PDF

Purpose: To perform a nationwide analysis of ablation compared to partial and total nephrectomy for the management of renal cell carcinoma (RCC) to evaluate utilization trends and disparities in the USA.

Materials And Methods: The 2016-2020 National Inpatient Sample was analyzed. Using ICD-10, we identified the diagnosis of RCC then analyzed the utilization trends of ablation and nephrectomies (both partial and complete).

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

Spontaneous Chest Wall Hematoma in a Hemodialysis Patient: A Case Report.

J Clin Med

January 2025

Department of Plastic and Reconstructive Surgery, Chonnam National University Hospital, Chonnam National University Medical School, 42 Jebong-ro, Dong-gu, Gwangju 61469, Republic of Korea.

: Spontaneous chest wall hematomas are rare but potentially life-threatening complications, particularly in patients with multiple comorbidities such as those undergoing hemodialysis. This case report aims to highlight the significance of early diagnosis and appropriate management in preventing complications associated with this condition. : We report the case of a 79-year-old man with end-stage renal disease on hemodialysis, presenting with a large spontaneous hematoma (18.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!