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[Establishment of a mutation prediction model for evaluating the efficacy of immunotherapy in renal carcinoma].
Qin, C P; Song, Y X; Ding, M T; Wang, F; Lin, J X; Yang, W B; DU, Y Q; Li, Q; Liu, S J; Xu, T.
Affiliation
  • Qin CP; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
  • Song YX; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
  • Ding MT; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
  • Wang F; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
  • Lin JX; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
  • Yang WB; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
  • DU YQ; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
  • Li Q; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
  • Liu SJ; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
  • Xu T; Department of Urology, Peking University People' s Hospital, Beijing 100044, China.
Beijing Da Xue Xue Bao Yi Xue Ban ; 54(4): 663-668, 2022 Aug 18.
Article in Zh | MEDLINE | ID: mdl-35950389
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Renal Cell / Kidney Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: Zh Journal: Beijing Da Xue Xue Bao Yi Xue Ban Year: 2022 Document type: Article
Fulltext
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Renal Cell / Kidney Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: Zh Journal: Beijing Da Xue Xue Bao Yi Xue Ban Year: 2022 Document type: Article