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WHO histological classification and tumor size are predictors of the locally aggressive behavior of thymic epithelial tumors.
Gao, Jian; Ao, Yongqiang; Wang, Shuai; Chen, Zongwei; Zhang, Yi; Ding, Jianyong; Jiang, Jiahao.
Affiliation
  • Gao J; Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Ao Y; Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Wang S; Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Chen Z; Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Zhang Y; Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Ding J; Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China. Electronic address: ding.jianyong@zs-hospital.sh.cn.
  • Jiang J; Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China; Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China. Electronic address: jiang.jiahao@zs-hospital.sh.cn.
Lung Cancer ; 187: 107446, 2024 01.
Article in En | MEDLINE | ID: mdl-38113654
ABSTRACT

OBJECTIVE:

The aim of this study was to explore the influencing factors that affect the local invasive behavior of thymic epithelial tumors (TETs).

METHOD:

We retrospectively analyzed 524 patients with TETs who underwent surgical treatment at our center from January 2010 to January 2022. Cox regression analysis was applied to identify predictors associated with the prognosis of TET. Logistic regression analysis was used to analyze the factors associated with the locally invasive behavior of TETs. Receiver operating characteristic analysis and the Youden index were applied to determine the predictive efficiency and cutoff value.

RESULTS:

There were 275 males and 249 females with a median age of 56 years. Seventy-seven patients had locally invasive behavior. The prognosis of local invasive TETs was significantly worse that of noninvasive TETs (P < 0.001). WHO classification and tumor size were two hazard factors for tumor invasive behavior. The risk of local invasion increased by 2.196 (OR (95 % CI) 1.813-2.659) times for each grade in WHO classification with a change from type A to thymic carcinoma. The tumor size cutoff of 6 cm represented a distinct boundary in predicting the hazard of local invasion (AUC 0.784, specificity 0.711, sensitivity 0.726).

CONCLUSION:

WHO classification and tumor size are important factors in predicting the locally aggressive behavior of TETs. The invasion capability of TETs is constantly increasing with an escalation in WHO classification. Tumors greater than 6 cm in size have a higher risk for local invasion.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Thymus Neoplasms / Neoplasms, Glandular and Epithelial / Lung Neoplasms Limits: Female / Humans / Male / Middle aged Language: En Journal: Lung Cancer Journal subject: NEOPLASIAS Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Thymus Neoplasms / Neoplasms, Glandular and Epithelial / Lung Neoplasms Limits: Female / Humans / Male / Middle aged Language: En Journal: Lung Cancer Journal subject: NEOPLASIAS Year: 2024 Document type: Article Affiliation country: Country of publication: