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A novel epithelial-mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer.
Shan, Zezhi; Wu, Wen; Yan, Xuebing; Yang, Yongzhi; Luo, Dakui; Liu, Qi; Li, Xinxiang; Goel, Ajay; Ma, Yanlei.
Afiliação
  • Shan Z; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Wu W; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Yan X; Department of Surgery, Shanghai Pudong Hospital (Fudan University Pudong Medical Center), Shanghai, China.
  • Yang Y; Department of Oncology, the Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
  • Luo D; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Liu Q; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Li X; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Goel A; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Ma Y; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
J Cell Mol Med ; 25(7): 3194-3204, 2021 04.
Article em En | MEDLINE | ID: mdl-33660944
Epithelial-mesenchymal transition (EMT), a biological process involving the transformation of epithelial cells into mesenchymal cells, promotes tumour initiation and metastasis. The aim of this study was to construct an EMT molecular signature for predicting colorectal cancer (CRC) prognosis and evaluate the efficacy of the model. The risk scoring system, constructed by log-rank test and multivariate Cox regression analysis according to EMT-related gene expression in CRC patients from TCGA database, demonstrated the highest correlation with prognosis compared with other parameters in CRC patients. The risk scores were significantly correlated with more lymph node metastasis, distal metastasis and advanced clinical stage of CRC. The model was further successfully validated in two independent external cohorts from GEO database. Furthermore, we developed a nomogram to integrate the EMT signature with the pathological stage of CRC, which was found to perform well in predicting the overall survival. Additionally, this risk scoring model was found to be associated with immune cell infiltration, implying a potential role of EMT involved in immunity regulation in tumour microenvironment. Taken together, our novel EMT molecular model may be useful in identifying high-risk patients who need an intensive follow-up and more aggressive therapy, finally contributing to more precise individualized therapeutic strategies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Transição Epitelial-Mesenquimal / Transcriptoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Transição Epitelial-Mesenquimal / Transcriptoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article