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Homotypic cell-in-cell structure as a novel prognostic predictor in non-small cell lung cancer and frequently localized at the invasive front.
Liu, Xiaona; Guo, Rui; Li, Dongxuan; Wang, Ya'nan; Ning, Jingya; Yang, Shuanying; Yang, Jun.
Affiliation
  • Liu X; Department of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
  • Guo R; Department of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
  • Li D; Department of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
  • Wang Y; Department of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
  • Ning J; Department of Respiratory Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China.
  • Yang S; Department of Respiratory Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China. yangshuanying@xjtu.edu.cn.
  • Yang J; Department of Pathology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, ShaanXi, China. yangjundr@163.com.
Sci Rep ; 14(1): 18952, 2024 08 15.
Article in En | MEDLINE | ID: mdl-39147858
ABSTRACT
Homotypic cell-in-cell structures (hoCICs) are associated with tumor proliferation, invasion, and metastasis and is considered a promising prognostic marker in various cancers. However, the role of hoCICs in non-small cell lung cancer (NSCLC) remains unclear. Tumor tissue sections were obtained from 411 NSCLC patients. We analyzed the relationship between clinicopathological variables and the number of hoCICs. LASSO and multivariate Cox regression analysis were employed to identify prognostic factors for NSCLC. The impact of hoCICs on overall survival (OS) and disease-free survival (DFS) was assessed using the Kaplan-Meier curves and log-rank test. Prognostic models for OS and DFS were developed and validated using the C-index, time-dependent area under the curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration curves and decision curve analysis (DCA). Among the cohort, 56% of patients had hoCICs while 44% did not. Notably, hoCICs were primarily found at the tumor invasion front. Male gender, smoking, squamous cell carcinoma, low differentiation, tumor size ≥ 3 cm, advanced TNM stage, lymph node metastasis, pleural invasion, vascular invasion, necrosis, P53 mutation, and high expression of Ki-67 were identified as relative risk factors for hoCICs. Furthermore, hoCICs was found to be a significant prognostic factor for both OS and DFS, with higher frequencies of hoCICs correlating with poorer outcomes. We constructed nomograms for predicting 1-, 3-, and 5-year OS and DFS based on hoCICs, and the calibration curves showed good agreement between the predicted and actual outcomes. The results of the C-index, time-dependent AUC, NRI, IDI, and DCA analyses demonstrated that incorporating hoCICs into the prognostic model significantly enhanced its predictive power and clinical applicability. HoCICs indicated independent perdictive value for OS and DFS in patients with NSCLC. Furthermore, the frequent localization of hoCICs at the tumor invasion front suggested a strong association between hoCICs and tumor invasion as well as metastasis.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Non-Small-Cell Lung / Lung Neoplasms / Neoplasm Invasiveness Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carcinoma, Non-Small-Cell Lung / Lung Neoplasms / Neoplasm Invasiveness Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: China