https://doi.org/10.52733/KCJ23n3-or1





INTRODUCTION

Renal cell carcinoma (RCC) accounts for 4.2% of adult malignancies and is the 10th leading cause of cancer deaths in the United States.1 In the United States in 2024, more than 81,000 new cases were diagnosed and more than 14,300 died, due mainly to metastatic disease.1 (See SEER: https://seer.cancer.gov/statfacts/html/kidrp.html). Globally, there are more than 400,000 cases of kidney cancer,2 and incidence of kidney and renal pelvis cancers increased between 2010 and 2019,3 with a dramatic increase among younger individuals attributed to obesity.4,5

Kidney cancer is a stealth disease because it is typically asymptomatic. When diagnosed symptomatically, it is detected extremely late in its clinical course and has already metastasized in 30–40% of patients.2 Kidney cancer is resistant to chemotherapy, and metastatic disease portends a miserable prognosis. The 2-year survival is only 18%,6 and 5-year survival is 5% or less.1,2 Even with immunotherapy, survival is low and variable.7

Table 1. Demographics of patients and healthy controls
Table 1. Demographics of patients and healthy controls.

Early kidney cancer detection enabling prompt intervention, ideally before symptoms and metastasis, enables the highest likelihood of preventing death. Unfortunately, there is currently no cost-effective method for screening asymptomatic populations. With the ubiquity of diagnostic abdominal imaging (computer-assisted tomography, ultrasound, magnetic resonance), about 80% of kidney tumors are now discovered incidentally.2,4 Despite this, even with earlier detection, up to 30% of patients with no discernible metastasis at nephrectomy will eventually have metastatic disease.2,4 Conversely, there is a high fraction of normal kidneys removed at surgery for an imaged renal mass presumed to be cancer.

There is an unmet need for identification of effective biomarkers to reliably detect preclinical kidney cancer, differentiate cancer from benign renal masses, differentiate indolent from aggressive tumors, and identify or predict metastasis early enough to facilitate appropriate intervention. In an initial proof-of-concept study,8 we showed that urine concentrations of the angiogenesis-associated water channel protein aquaporin-1 and the lipid droplet-associated protein perilipin 2 in patients with clear cell and papillary RCC are significantly greater than controls, and both proteins significantly decreased upon tumor removal.9–13 Together, clear cell and papillary cancers account for about 80% of all kidney cancers. Furthermore, these biomarkers were not confounded by co-morbid non-cancerous kidney diseases,10 or by bladder or prostate cancers.12 These urine biomarkers mirror primary tumor burden.8–10,12 A limitation, however, is that they do not reflect tumor grade or predict metastatic potential.

The acute phase reactant C-reactive protein (CRP) was found immunohistochemically to be expressed in excised RCC tissue but not adjacent normal tissue.14 Increased tumor CRP was attributed to increased acute phase cytokine interleukin-6 production within or around the tumor.14–16 Patients with advanced stage and high grade tumors had plasma CRP concentrations that were greater than normal.14 However, there was no discernible CRP found in urine using the rather insensitive assay (µg/mL) available at that time.

In the present study, we measured urine CRP content of patients newly diagnosed with an imaged renal mass using a more sensitive (ng/mL) assay. We tested the specific hypothesis that, in RCC, urine CRP content is an early indicator of tumor grade and metastatic potential or subclinical metastatic spread. Thus, urine CRP can serve as a non-invasive liquid biopsy and may be used pre-surgically to grade tumors using molecular pathology. Additionally, we confined the study to patients with an imaged kidney mass of ≤4 cm, as these tumors are typically not thought to have metastatic potential.17

MATERIALS AND METHODS

Approval was obtained from the Washington University in St. Louis Institutional Review Board, and written informed consent was obtained from all patients. From July 2011 through December 2014, urine and citrated plasma samples were obtained from 65 patients preoperatively on the day of surgery who were undergoing partial nephrectomy based on a CT-imaged renal mass and a presumptive diagnosis of RCC. Post-operative pathology reports for those individuals provided cancer type, size, tumor stage (TNM classification, including node and distant metastases), and Fuhrman grade. Postoperative pathology diagnoses established clear cell RCC (55 patients) or papillary RCC (10 patients) with a tumor of ≤4 cm (T1a or T3a). Subsequently, 50 patients provided urine during their first post-surgical follow-up visit (3–6 weeks post-surgery). From July 2011 through December 2014, in addition to the 65 patients with RCC, pre-surgical urine was obtained from 7 patients post-operatively diagnosed with angiomyolipoma, 6 with chromophobe, and 9 with oncocytoma, all ≤4 cm. Urine and citrated plasma were obtained from 64 age- and sex-matched self-reported healthy volunteers.

Table 2. Urine CRP Content in Different Patient Groups
Table 2. Urine CRP Content in Different Patient Groups.

From February through October of 2012, pre-operative urine was collected from 27 prostatectomy and 22 cystectomy patients with no RCC, which served as controls. Archived frozen urine from 25 prostatectomy (stage pT2c and pT3, Gleason grade 6–8) and 19 cystectomy patients (predominantly stage Ta, high grade, with no noted metastases) was used in this study.

Sample size calculations were based on urine CRP concentrations of healthy controls. Detecting urine CRP concentrations in RCC patients 2- or 3-fold (conservative assumption) greater than controls, based on a two-sided t-test and 80% power, would require a minimum of 40 (2-fold) or 10 patients (3-fold) at 0.05 significance.

Urine CRP concentration was measured by a sensitive and specific ELISA (DuoSet DY1701 kits, R&D Systems). The heightened sensitivity reduced the potential for confounding due to variations in urine pH or salt/urea excretion since urine was diluted 1:40–1:80 with assay buffer. Preliminary studies showed urine CRP dilution linearity paralleling the standard curve. Plasma CRP concentrations were determined after 1:1000–1:10,000 dilutions in assay buffer. Urine creatinine concentrations were measured as reported previously.8,11 Urine pH and specific gravity were determined using Siemens Multistix 10GS reagent strips.

The molecular size of urine CRP detected by ELISA was measured to determine if it was the intact 125 kDa pentamer or 25 kDa monomers. Sizing was performed on a 0.7 × 30 cm Bio-Gel P-100 column equilibrated with sodium phosphate–sodium chloride buffers mimicking urine pH between 5.5 and 8.5 and salt concentrations mimicking urine specific gravities between 1.005 and 1.010 (Supplementary Figure 1). The column was calibrated using human IgG (150 kDa), human albumin (66 kDa), and human myoglobin (17 kDa).

Non-normally distributed variables were expressed as median with interquartile range and normally distributed variables as mean ± standard deviation. Age (one-way ANOVA) and sex (Pearson Chi-square test) were compared across groups. Urine CRP concentrations were compared using the Kruskal-Wallis test with Bonferroni correction. Receiver operating characteristic (ROC) analysis was performed using a nonparametric method. The cutoff of urine CRP compared to healthy controls was set at the lowest value of patients with grade 3 tumors to maximize sensitivity. Statistical analysis was performed using Analyse-it for Excel 2010 (Analyse-it Software, Ltd, Leeds, United Kingdom). Values were considered statistically significant at P<0.05.

RESULTS

Table 1 provides demographics of patients and healthy controls. Urine CRP content in 65 patients with clear cell and papillary RCC and in 64 healthy controls is shown in Table 2. CRP in all RCC patients was 3.30 (1.82, 9.27) (median, IQR) ng/mg creatinine, which was 27-fold greater than healthy controls (0.12 (0.1, 0.29) ng/mg) (P<0.001, Mann-Whitney test). When factored by pathologic grade, the 41 patients with grades 1–2 tumors had CRP of 2.0 (0.70, 2.90) ng/mg, while the 24 with grades 3–4 tumors had 9.70 (8.68, 11.80) ng/mg (Figure 1, Table 2). These were 17- and 80-fold greater than controls (both P<0.001). Higher-grade tumors had ~5-fold greater urine CRP than lower grade tumors (P<0.001). Two outlier grade 2 patients had markedly higher CRP (Figure 1). Tumor size relationship is shown in Figure 2.

Figure 1. Urine CRP contents in healthy controls and patients with T1a renal tumors
Figure 1. Urine CRP contents in healthy controls and patients with T1a renal tumors. Shown are healthy controls (n=64), grade 1/2 ccRCC or pRCC (n=41), grade 3/4 ccRCC or pRCC (n=24), angiomyolipoma (n=7), chromophobe (n=6), and oncocytoma (n=9). Box plots show median, IQR, and min/max whiskers; x and + indicate outliers.

Biomarkers should reflect their tissue source and decrease after tumor removal. Of 65 RCC patients, 50 provided follow-up urine (32 grade 1–2; 18 grade 3). Urine CRP decreased 85% post-nephrectomy in grade 3 tumors (P<0.0001), consistent with tumor origin. No significant change occurred in low-grade tumors.

Figure 2. Urine CRP and tumor size
Figure 2. Urine CRP and tumor size. Outlier grade 1–2 tumors are shown in solid symbols.

Molecular sizing showed urine CRP eluted at 125 kDa, with no monomeric (25 kDa) CRP (Supplementary Figure 1), indicating it is too large for glomerular filtration.

Supplemental eFigure 1. Column chromatography of CRP
Supplemental eFigure 1. Column chromatography of different patient urines. Urine CRP eluted at ~125 kDa with no monomeric CRP detected.

There was no correlation between urine and plasma CRP (Figure 4), suggesting urine CRP originates from tumor secretion rather than plasma filtration.

Figure 3. Pre- and post-surgery urine CRP concentrations
Figure 3. Pre- and post-surgery urine CRP concentrations in grade 1–2 (n=32) and grade 3–4 (n=18) tumors.

Urine CRP content in angiomyolipoma, chromophobe, and oncocytoma tumors was significantly lower than grade 3–4 RCC (Figure 1, Table 2). Urine CRP in bladder and prostate cancer was not elevated compared with controls (Supplementary Figure 2), supporting specificity for high-grade RCC.

Figure 4. Relationship between CRP in urine and plasma
Figure 4. Relationship between CRP in urine and plasma.
Supplemental eFigure 2. Urine CRP in controls and other urologic cancers
Supplemental eFigure 2. Urine CRP concentrations in healthy controls and patients with RCC, bladder cancer, and prostate cancer.

ROC analysis showed a cutoff of 6 ng/mg creatinine differentiated grade 1–2 from grade 3–4 RCC with AROC 0.98, sensitivity 1.00 and specificity 0.95 (Figure 5). Plasma CRP performed poorly (AROC 0.62).

Figure 5. ROC analysis for urine and plasma CRP
Figure 5. Receiver operating curve analysis for urine or plasma CRP.

Two grade 2 outlier patients with markedly high pre-nephrectomy urine CRP later developed metastases. All grade 3 patients available for follow-up developed metastases by 4.1 years (Figure 6).

Figure 6. Development of metastases following surgery
Figure 6. Development of metastases following surgery.

DISCUSSION

This investigation tested the hypothesis that urine CRP is an early pre-surgical indicator of RCC tumor grade and metastatic potential, focusing on renal masses ≤4 cm. Urine CRP (but not plasma CRP) was a sensitive and specific measure of high-grade clear cell/papillary RCC and decreased after nephrectomy, indicating tumor origin.

Prior studies of plasma CRP and tumor CRP have had variable prognostic success. In small tumors, urine CRP provided superior discrimination of grade and potential metastasis. Elevated urine CRP likely reflects tumor IL-6 signaling and secretion into urine rather than filtration from blood. Complement factors may be less specific due to elevation in non-cancerous renal diseases.

Supplemental Table 1. Statistical comparisons
Supplemental Table 1. Statistical analysis comparing different patient groups.

Urine CRP may complement aquaporin-1 and perilipin-2 to provide non-invasive molecular grading of small renal masses and possibly identify occult metastatic risk. Larger prospective cohorts are needed to validate prognostic utility.

In summary, urine CRP was elevated in high-grade clear cell/papillary RCC and appeared specific versus other renal and urologic diseases. It may serve as a pre-surgical liquid biopsy for grading and metastatic risk prediction.

Additional Contributions

The authors thank Karen Frey, BS, RN, Jay McQuillan, BS, Jane Blood, BS, RN, Megan Kalin, MS, CCRP, Kalin Guebert, MS, CCRP, Michael Reeves, BA, for their expert help in the study. We thank Dr. Michael Abern for his critical review of the manuscript and insightful comments.

Conflict of Interest Disclosure

No author has any conflict of interest.

Funding/Support

NIH R01CA141521, Department of Defense CDMRP HT94252310996, Washington University in St. Louis Institute of Clinical and Translational Science UL1 TR000448, the Barnes-Jewish Hospital Frontier Fund (7537-55), Department of Anesthesiology, Washington University in St Louis School of Medicine, and the Bear Cub Fund of Washington University in St. Louis.

ETHICS STATEMENT

Approval was obtained from the Washington University in St. Louis Institutional Review Board, and written informed consent was obtained from all patients.

SUPPLEMENTAL INFORMATION

Please access the online content for full supplemental data: https://kidney-cancer-journal.com/KCJ23n3-or1.php

REFERENCES

  • 1. Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024;74:12-49.
  • 2. Rose TL, Kim WY. Renal cell carcinoma: A review. JAMA. 2024;332:1001-1010.
  • 3. Koh B, Tan DJH, Ng CH, et al. Patterns in cancer incidence among people younger than 50 years in the US, 2010 to 2019. JAMA Netw Open. 2023;6:e2328171.
  • 4. Rosenberg PS, Miranda-Filho A. Cancer incidence trends in successive social generations in the US. JAMA Netw Open. 2024;7:e2415731.
  • 5. Shiels MS, Haque AT, Berrington de Gonzalez A, et al. Trends in cancer incidence and mortality rates in early-onset and older-onset age groups in the United States, 2010-2019. Cancer Discov. 2025;15:1363-1376.
  • 6. Linehan JA, Nguyen MM. Kidney cancer: the new landscape. Curr Opin Urol. 2009;19:133-7.
  • 7. Samuelly A, Di Stefano RF, Turco F, et al. Navigating the ICI combination treatment journey: Patterns of response and progression to first-line ICI-based combination treatment in metastatic renal cell carcinoma. J Clin Med. 2024;13:307.
  • 8. Morrissey JJ, London AN, Luo J, Kharasch ED. Urinary biomarkers for the early diagnosis of kidney cancer. Mayo Clin Proc. 2010;85:413-21.
  • 9. Morrissey JJ, Kharasch ED. The specificity of urinary aquaporin 1 and perilipin 2 to screen for renal cell carcinoma. J Urol. 2013;189:1913-20.
  • 10. Morrissey JJ, Mobley J, Song J, et al. Urinary concentrations of aquaporin-1 and perilipin-2 in patients with renal cell carcinoma correlate with tumor size and stage but not grade. Urology. 2014;83:256 e9-14.
  • 11. Morrissey JJ, Mellnick VM, Luo J, et al. Evaluation of urine aquaporin-1 and perilipin-2 concentrations as biomarkers to screen for renal cell carcinoma. A prospective cohort study. JAMA Oncol. 2015;1:204-12.
  • 12. Morrissey JJ, Mobley J, Figenshau RS, Vetter J, Bhayani S, Kharasch ED. Urine aquaporin 1 and perilipin 2 differentiate renal carcinomas from other imaged renal masses and bladder and prostate cancer. Mayo Clin Proc. 2015;90:35-42.
  • 13. Hu R, Rohit G, Wang Z, et al. Bioplasmonic paper-based assay for perilipin-2 non-invasively detects renal cancer. Kidney Int. 2019;96:1417-1421.
  • 14. Jabs WJ, Busse M, Kruger S, Jocham D, Steinhoff J, Doehn C. Expression of C-reactive protein by renal cell carcinomas and unaffected surrounding renal tissue. Kidney Int. 2005;68:2103-10.
  • 15. Gudbrandsdottir G, Aarstad HH, Bostad L, et al. Serum levels of the IL-6 family of cytokines predict prognosis in renal cell carcinoma (RCC). Cancer Immunol Immunother. Jan 2021;70(1):19-30. doi:10.1007/s00262-020-02655-z
  • 16. Sang YB, Yang H, Lee WS, et al. High serum levels of IL-6 predict poor responses in patients treated with pembrolizumab plus axitinib for advanced renal cell carcinoma. Cancers (Basel). 2022;14:5985.
  • 17. Monda SM, Lui HT, Pratsinis MA, Chandrasekar T, Evans CP, Dall'Era MA. The metastatic risk of renal cell carcinoma by primary tumor size and subtype. Eur Urol Open Sci. 2023;52:137-144.
  • 18. Johnson TV, Young AN, Force S, Master VA. C-reactive protein may represent sensitive measure of renal cell carcinoma metastasis. Urol Nurs. 2011;31:181-2.
  • 19. Johnson DC, Vukina J, Smith AB, et al. Preoperatively misclassified, surgically removed benign renal masses: a systematic review of surgical series and United States population level burden estimate. J Urol. 2015;193:30-5.
  • 20. Johnson TV, Ali S, Abbasi A, et al. Intratumor C-reactive protein as a biomarker of prognosis in localized renal cell carcinoma. J Urol. 2011;186:1213-7.
  • 21. Karakiewicz PI, Hutterer GC, Trinh QD, et al. C-reactive protein is an informative predictor of renal cell carcinoma-specific mortality: a European study of 313 patients. Cancer. 2007;110:1241-7.
  • 22. Reese B, Silwal A, Daugherity E, et al. Complement as prognostic biomarker and potential therapeutic target in renal cell carcinoma. J Immunol. 2020;205:3218-3229.
  • 23. Lasorsa F, Rutigliano M, Milella M, et al. Complement system and the kidney: Its role in renal diseases, kidney transplantation and renal cell carcinoma. Int J Mol Sci. 2023;24:16515.
  • 24. Ball MW, Bezerra SM, Gorin MA, et al. Grade heterogeneity in small renal masses: potential implications for renal mass biopsy. J Urol. 2015;193:36-40.
  • 25. Leão RR, Richard PO, Jewett MA. The role of biopsy for small renal masses. Int J Surg. 2016;36:513-517.
  • 26. Beksac AT, Paulucci DJ, Blum KA, Yadav SS, Sfakianos JP, Badani KK. Heterogeneity in renal cell carcinoma. Urol Oncol. 2017;35:507-515.
  • 27. Azawi NH, Lund L, Fode M. Renal cell carcinomas mass of <4 cm are not always indolent. Urol Ann. 2017;9:234-238.
  • 28. Bhindi B, Thompson RH, Lohse CM, et al. The probability of aggressive versus indolent histology based on renal tumor size: Implications for surveillance and treatment. Eur Urol. 2018;74:489-497.
  • 29. Song JB, Morrissey JJ, Mobley JM, et al. Urinary aquaporin 1 and perilipin 2: Can these novel markers accurately characterize small renal masses and help guide patient management? Int J Urol. 2019;26:260-265.
  • 30. Morrissey JJ, Kharasch ED. Urine biomarkers to diagnose renal cell carcinoma. BJU International. 2012;110:8-9.