期刊
BRITISH JOURNAL OF CANCER
卷 124, 期 10, 页码 1680-1689出版社
SPRINGERNATURE
DOI: 10.1038/s41416-021-01307-y
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资金
- Norwegian Cancer Society
- Northern Norway Health Region Authority
The study found that TLS score can be used to predict survival rates in NSCLC patients, with different scoring models and measurement methods having a significant impact on prognosis.
Background We previously proposed an immune cell score (tumour node metastasis (TNM)-Immune cell score) classifier as an add-on to the existing TNM staging system for non-small cell lung cancer (NSCLC). Herein, we examined how to reliably assess a tertiary lymphoid structure (TLS) score to refine the TNM staging system. Methods Using immunohistochemistry (CD8/cytokeratin), we quantified TLS in resected NSCLC whole-tumour tissue sections with three different scoring models on two independent collections (total of 553 patients). In a pilot setting, NanoString gene expression signatures were analysed for associations with TLS. Results The number of TLSs significantly decreased in stage III patients as compared to stage II. The TLS score was an independent positive prognostic factor, regardless of the type of (semi)-quantification strategy used (four-scale semi-quantitative; absolute count of total TLS; subpopulation of mature TLS) or the endpoint (disease-specific survival; overall survival; time to recurrence). Subgroup analyses revealed a significant prognostic impact of TLS score within each pathological stage, patient cohort and main histological subtype. Targeted gene expression analysis showed that high TLS levels were associated with the expression of B cell and adaptive immunity genes/metagenes including tumour inflammation signature. Conclusions The TLS score increases the prognostic power in each pathological stage and hence has the potential to refine TNM staging in resected NSCLC.
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