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. 2023 Aug 1;13(8):e1346. doi: 10.1002/ctm2.1346

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© 2023 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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The potential significance of tertiary lymphoid structures (TLS) and TLS‐specific markers for breast cancer (BC) prognosis. After matching with Fitness score matching (PSM), survival analysis and prognostic factor analysis were performed. For survival analysis, the Kaplan–Meier method and the log‐rank test were employed. For prognostic factors, COX proportional hazard regression model was used. The two‐sided log rank test was used to determine the p values. (A) Kaplan–Meier survival curves for the disease‐free survival (DFS) (left) and OS (right) of 920 TCGA BRCA patients based on single gene expression (CD20, CD23 and CD8). (B) The impact of CD20, CD23, CD8, CD4 and BCL6 on 920 TCGA BRCA patients’ prognosis. The forest map shows HRs (center pink and blue squares) and 95% confidence interval (horizontal ranges), and PSM matching has been made for factors such as molecular typing, lymph node status, tumour size, diagnosis age and histological grading of BC. (C) Kaplan–Meier survival curves for the DFS of 70 BC patients based on TLS expression.