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Identification of Biomarkers Associated with Liver Metastasis Progression from Colorectal Cancer Using Exosomal RNA Profiling.
Lee, Soohyeon; Park, Young Soo; Kim, Jwa Hoon; Lim, Ah Reum; Hyun, Myung Han; Kim, Boyeon; Lee, Jong Won; Lee, Saet Byeol; Kim, Yeul Hong.
Afiliação
  • Lee S; Division of Medical Oncology and Hematology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, Korea.
  • Park YS; Cancer Research Institute, Korea University College of Medicine, Seoul 02841, Korea.
  • Kim JH; Division of Medical Oncology and Hematology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, Korea.
  • Lim AR; Division of Medical Oncology and Hematology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, Korea.
  • Hyun MH; Division of Medical Oncology and Hematology, Department of Internal Medicine, Korea University College of Medicine, Seoul 02841, Korea.
  • Kim B; Cancer Research Institute, Korea University College of Medicine, Seoul 02841, Korea.
  • Lee JW; Brain Korea 21 Plus Project for Biomedical Science, Korea University College of Medicine, Seoul 02841, Korea.
  • Lee SB; Cancer Research Institute, Korea University College of Medicine, Seoul 02841, Korea.
  • Kim YH; Department of Biomedical Sciences, Korea University College of Medicine, Seoul 02841, Korea.
Cancers (Basel) ; 14(19)2022 Sep 28.
Article em En | MEDLINE | ID: mdl-36230645
This study aimed to identify novel biomarkers for metastatic colorectal cancer progression using exosomal RNA expression profiling. The exosomal RNA expression profiles of 54 patients with mCRC were investigated. Exosomal RNA profiling was performed at the time of relapse immediately before metastasectomy and cancer recurrence or progression after metastasectomy. The up- and down-regulated RNA expression profiles were screened and analyzed using H-cluster, principle component analysis and gene ontology. The tissue expression profile of the liver metastases was compared with the GSE 41258 set using GSEA tools. We identified two distinctive biological process gene sets (IFNA and PCDB families) related to metastatic progression. The interferon-α response gene set was enriched, especially when the tumor volume was ≥1 cm3. CXCL10, CXCL11 and SAMD 9 mRNA were highly expressed in the plasma exosome samples of patients with mCRC to the liver. Furthermore, high expression of CXCL10 but not CXCL11 or SAMD9 was associated with a poor prognosis and shorter progression-free survival. Conclusions: Cancer-derived exosomal CXCL10 may be a novel biomarker for liver metastasis of mCRC and a potential target for the prevention and treatment of mCRC with liver metastasis.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Colon_e_reto Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Colon_e_reto Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article