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. 2022 Mar 25;14(7):1665.
doi: 10.3390/cancers14071665.

Do We Need TNM for Tracheal Cancers? Analysis of a Large Retrospective Series of Tracheal Tumors

Affiliations

Do We Need TNM for Tracheal Cancers? Analysis of a Large Retrospective Series of Tracheal Tumors

Aleksandra Piórek et al. Cancers (Basel). .

Abstract

Due to the low incidence of primary tracheal neoplasms, there is no uniform system for staging of this disease. Our retrospective analysis based on registry data included 89 patients diagnosed with primary tracheal cancer at the National Research Institute of Oncology in Warsaw, Poland, between January 2000 and December 2016. We analyzed demographic, clinical, pathological, therapeutic, and survival data. The staging-for the purpose of our analysis-was performed retrospectively on the basis of imaging results. Tumor (T) category was defined as a disease confined to the trachea or lesion derived from the trachea and spreading to adjacent structures and organs. Node (N) and metastases (M) categories were divided into absence/presence of metastasis in regional lymph nodes and the absence/presence of distant metastasis. Survival analysis was performed depending on the clinical presentation of these features. There was a significant difference in overall survival depending on the T, N, M categories in the entire group. In the group of patients undergoing radical treatment, the T and N categories had a statistically significant impact on overall survival. In the group of patients treated with palliative aim, only the T category had an impact on overall survival. Multivariate analysis showed statistical significance for the T category in patients undergoing radical and those receiving palliative treatment. The assessment of the anatomical extent of lesions may help decide about treatment options and prognosis.

Keywords: adenoid cystic carcinoma of the trachea; classification; squamous cell carcinoma of the trachea; staging systems; tracheal tumors; treatment.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Patient identification algorithm and exclusion criteria.
Figure 2
Figure 2
Cumulative probability of overall survival in the entire analyzed group of patients according to categories: (A) T; (B) N; (C) M.
Figure 3
Figure 3
Cumulative probability of overall survival according to histological type by TNM category: (A,B) T1/T2; (C,D) N0/N1; (E,F) M0/M1.
Figure 4
Figure 4
Cumulative probability of overall survival in the group of patients receiving radical treatment according to categories: (A) T; (B) N.
Figure 5
Figure 5
Cumulative probability of overall survival in the group of patients receiving palliative treatment according to categories: (A) T; (B) N.
Figure 6
Figure 6
Multivariate analysis for overall survival among radically treated patients. Significant codes legend: from 0 to 0.001 “***”; from 0.01 to 0.05 “*”.
Figure 7
Figure 7
Multivariate analysis for overall survival among palliative care patients. Significant codes legend: from 0.001 to 0.01 “**”; from 0.01 to 0.05 “*”.

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