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Analysis of the tumor microenvironment and mutation burden identifies prognostic features in thymic epithelial tumors.
Hou, Xue; Lin, Suxia; Liu, Yongdong; Wang, Kaicheng; Yu, Zicheng; Jia, Junhao; Yu, Juan; Zheng, Wei; Bai, Jing; Chang, Lianpeng; Chen, Jing; Li, Meichen; Chen, Likun.
Afiliação
  • Hou X; Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou 510050, Guangdong, China.
  • Lin S; Department of Pathology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou 510050, Guangdong, China.
  • Liu Y; Department of Pathology, The First Affiliated Hospital of Sun Yat-Sen University Guangzhou 510080, Guangdong, China.
  • Wang K; Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou 510050, Guangdong, China.
  • Yu Z; GenePlus-Shenzhen Shenzhen 518000, Guangdong, China.
  • Jia J; GenePlus-Shenzhen Shenzhen 518000, Guangdong, China.
  • Yu J; Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou 510050, Guangdong, China.
  • Zheng W; Department of Ultrasound, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou 510050, Guangdong, China.
  • Bai J; GenePlus-Beijing Beijing 100000, China.
  • Chang L; GenePlus-Beijing Beijing 100000, China.
  • Chen J; Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou 510050, Guangdong, China.
  • Li M; Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou 510050, Guangdong, China.
  • Chen L; Department of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangzhou 510050, Guangdong, China.
Am J Cancer Res ; 12(5): 2387-2396, 2022.
Article em En | MEDLINE | ID: mdl-35693087
ABSTRACT
Thymic epithelial tumors (TETs) are one of the rarest adult malignancies in the anterior mediastinum. Thymic carcinomas (TCs) are less prevalent among TETs, but they are more clinically aggressive. Immunotherapy has emerged as a promising therapeutic approach for refractory TETs, even though chemotherapy remains the conventional treatment for the advanced disease. However, limited attention has been paid to the features of the tumor microenvironment (TME) which might provide clinically relevant information and guide treatment regimen design. Especially, to date, there have been only a few studies focusing on the differences between the TME and genomic features preserved by TETs and TCs. We analyzed the TME and genomic characteristics of TETs using RNA sequencing and whole-exome sequencing, finding that distinct characteristics of TME in different pathogenic subtypes of TETs. According to those findings, we found that thymic carcinomas had significantly lower expression of HMGB1, a pro-inflammatory cytokine-related gene, than thymomas, and low HMGB1 expression was linked to a poor prognosis. Additionally, higher mutation burdens were significantly associated with the later stage and more advanced pathological types. Thymoma patients with lower mutation burdens tended to relapse within 3 years. In summary, different characteristics of TME and genomic features between thymoma and thymic carcinoma were associated with clinical outcomes of TETs and presented promisingly predictive value for efficacy and toxicity of immunotherapy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Am J Cancer Res Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Am J Cancer Res Ano de publicação: 2022 Tipo de documento: Article