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DNA methylation–based immune response signature improves patient diagnosis in multiple cancers
Jana Jeschke, Martin Bizet, Christine Desmedt, Emilie Calonne, Sarah Dedeurwaerder, Soizic Garaud, Alexander Koch, Denis Larsimont, Roberto Salgado, Gert Van den Eynden, Karen Willard Gallo, Gianluca Bontempi, Matthieu Defrance, Christos Sotiriou, François Fuks
Jana Jeschke, Martin Bizet, Christine Desmedt, Emilie Calonne, Sarah Dedeurwaerder, Soizic Garaud, Alexander Koch, Denis Larsimont, Roberto Salgado, Gert Van den Eynden, Karen Willard Gallo, Gianluca Bontempi, Matthieu Defrance, Christos Sotiriou, François Fuks
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Clinical Research and Public Health Development Immunology

DNA methylation–based immune response signature improves patient diagnosis in multiple cancers

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Abstract

BACKGROUND. The tumor immune response is increasingly associated with better clinical outcomes in breast and other cancers. However, the evaluation of tumor-infiltrating lymphocytes (TILs) relies on histopathological measurements with limited accuracy and reproducibility. Here, we profiled DNA methylation markers to identify a methylation of TIL (MeTIL) signature that recapitulates TIL evaluations and their prognostic value for long-term outcomes in breast cancer (BC). METHODS. MeTIL signature scores were correlated with clinical endpoints reflecting overall or disease-free survival and a pathologic complete response to preoperative anthracycline therapy in 3 BC cohorts from the Jules Bordet Institute in Brussels and in other cancer types from The Cancer Genome Atlas. RESULTS. The MeTIL signature measured TIL distributions in a sensitive manner and predicted survival and response to chemotherapy in BC better than did histopathological assessment of TILs or gene expression–based immune markers, respectively. The MeTIL signature also improved the prediction of survival in other malignancies, including melanoma and lung cancer. Furthermore, the MeTIL signature predicted differences in survival for malignancies in which TILs were not known to have a prognostic value. Finally, we showed that MeTIL markers can be determined by bisulfite pyrosequencing of small amounts of DNA from formalin-fixed, paraffin-embedded tumor tissue, supporting clinical applications for this methodology. CONCLUSIONS. This study highlights the power of DNA methylation to evaluate tumor immune responses and the potential of this approach to improve the diagnosis and treatment of breast and other cancers. FUNDING. This work was funded by the Fonds National de la Recherche Scientifique (FNRS) and Télévie, the INNOVIRIS Brussels Region BRUBREAST Project, the IUAP P7/03 program, the Belgian “Foundation against Cancer,” the Breast Cancer Research Foundation (BCRF), and the Fonds Gaston Ithier.

Authors

Jana Jeschke, Martin Bizet, Christine Desmedt, Emilie Calonne, Sarah Dedeurwaerder, Soizic Garaud, Alexander Koch, Denis Larsimont, Roberto Salgado, Gert Van den Eynden, Karen Willard Gallo, Gianluca Bontempi, Matthieu Defrance, Christos Sotiriou, François Fuks

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Figure 3

The MeTIL score improves the prediction of survival and response to anthracycline treatment.

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The MeTIL score improves the prediction of survival and response to anth...
(A) Forest plots by BC subtype showing the log2 value of the HRs and CI for the prediction of survival outcomes in univariate Cox models for the MeTIL score (orange) or PaTILs (black) in 3 BC cohorts. BC subtypes were defined on the basis of IHC results for the hormone receptors and HER2. PaTILs were not available for the TOP cohort. Only ER- and HER2-negative tumors were selected from the TOP cohort as TN tumors. The red asterisk indicates statistical significance (P < 0.05 by a likelihood ratio test). (B) Receiver operating characteristic (ROC) curve for the prediction of response to neoadjuvant anthracycline treatment based on the MeTIL score for 58 hormone receptor–negative patients in the TOP cohort. (C) Forest plot showing the log2 value for the OR and CI of the MeTIL score (orange) and various other clinical and pathologically relevant variables (black) for the prediction of response to preoperative anthracycline treatment in a multivariate analysis of the TOP cohort. The red asterisk indicates statistical significance (P < 0.05, which corresponds to the z ratio based on a normal reference distribution).

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ISSN: 0021-9738 (print), 1558-8238 (online)

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