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Background <p>Clear cell renal carcinoma (ccRCC) is the most frequent form of kidney tumors with high recurrence and progression rates. Early diagnosis of ccRCC could significantly improve survival rate. Liquid biopsies could capture molecular information which would not only shed more light on the signatures of the onset of ccRCC, but also discover potential biomarker for early diagnosis.</p> Method <p>We applied LC-MS to profile the urine proteome and metabolome of 314 ccRCC, 341 healthy control and 49 kidney benign disease enrolled from three cohorts. Further cell origin annotation and protein-protein correlation analysis were performed to explain the possible TME mechanistic.</p> Results <p>We revealed significant changes of extracellular matrix (ECM) organization, complement and coagulation cascades, amino acid metabolism and fatty acid metabolism in ccRCC. Cell origin annotation of cancer proteins revealed the potential role of myofibroblast cell during ECM organization. Finally, we discovered six potential urinary biomarkers, FGB,CILP, ITIH1, GUCA2B, anserine, oxindole and established models for ccRCC diagnosis with the AUC value of 0.84, 0.80 and 0.86 for protein model, metabolites model and multi-omics model in an external cohort. The protein model also showed discriminatory ability for ccRCC and benign with the AUC value of 0.75.</p> Conclusion <p>Present study provided urinary molecular changes, which could reflect TME disorder and cellular metabolism reprogramming.</p>

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Urinary proteome and metabolome uncover tumor microenvironment and cellular metabolism changes of renal clear cell carcinoma

  • 期刊论文

  • 发表日期：

    2026年5月5日

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  • Xiaoyan Liu,
  • Mingxin Zhang,
  • Yi Zhao,
  • Yuting Dai,
  • Chongxu Han,
  • Jing Chen,
  • Haidan Sun,
  • Zhengguang Guo,
  • Feng Qi,
  • Yuxue Zhang,
  • Yushi Zhang,
  • Haitao Niu,
  • Wei Sun

摘要

Background

Clear cell renal carcinoma (ccRCC) is the most frequent form of kidney tumors with high recurrence and progression rates. Early diagnosis of ccRCC could significantly improve survival rate. Liquid biopsies could capture molecular information which would not only shed more light on the signatures of the onset of ccRCC, but also discover potential biomarker for early diagnosis.

Method

We applied LC-MS to profile the urine proteome and metabolome of 314 ccRCC, 341 healthy control and 49 kidney benign disease enrolled from three cohorts. Further cell origin annotation and protein-protein correlation analysis were performed to explain the possible TME mechanistic.

Results

We revealed significant changes of extracellular matrix (ECM) organization, complement and coagulation cascades, amino acid metabolism and fatty acid metabolism in ccRCC. Cell origin annotation of cancer proteins revealed the potential role of myofibroblast cell during ECM organization. Finally, we discovered six potential urinary biomarkers, FGB,CILP, ITIH1, GUCA2B, anserine, oxindole and established models for ccRCC diagnosis with the AUC value of 0.84, 0.80 and 0.86 for protein model, metabolites model and multi-omics model in an external cohort. The protein model also showed discriminatory ability for ccRCC and benign with the AUC value of 0.75.

Conclusion

Present study provided urinary molecular changes, which could reflect TME disorder and cellular metabolism reprogramming.