Nature Communications (Jul 2023)

Proteogenomics of clear cell renal cell carcinoma response to tyrosine kinase inhibitor

  • Hailiang Zhang,
  • Lin Bai,
  • Xin-Qiang Wu,
  • Xi Tian,
  • Jinwen Feng,
  • Xiaohui Wu,
  • Guo-Hai Shi,
  • Xiaoru Pei,
  • Jiacheng Lyu,
  • Guojian Yang,
  • Yang Liu,
  • Wenhao Xu,
  • Aihetaimujiang Anwaier,
  • Yu Zhu,
  • Da-Long Cao,
  • Fujiang Xu,
  • Yue Wang,
  • Hua-Lei Gan,
  • Meng-Hong Sun,
  • Jian-Yuan Zhao,
  • Yuanyuan Qu,
  • Dingwei Ye,
  • Chen Ding

DOI
https://doi.org/10.1038/s41467-023-39981-6
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 21

Abstract

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Abstract The tyrosine kinase inhibitor (TKI) Sunitinib is one the therapies approved for advanced renal cell carcinoma. Here, we undertake proteogenomic profiling of 115 tumors from patients with clear cell renal cell carcinoma (ccRCC) undergoing Sunitinib treatment and reveal the molecular basis of differential clinical outcomes with TKI therapy. We find that chromosome 7q gain-induced mTOR signaling activation is associated with poor therapeutic outcomes with Sunitinib treatment, whereas the aristolochic acid signature and VHL mutation synergistically caused enhanced glycolysis is correlated with better prognosis. The proteomic and phosphoproteomic analysis further highlights the responsibility of mTOR signaling for non-response to Sunitinib. Immune landscape characterization reveals diverse tumor microenvironment subsets in ccRCC. Finally, we construct a multi-omics classifier that can detect responder and non-responder patients (receiver operating characteristic–area under the curve, 0.98). Our study highlights associations between ccRCC molecular characteristics and the response to TKI, which can facilitate future improvement of therapeutic responses.