Edoardo Isnaldi1, Domenico Ferraioli1,2, Lorenzo Ferrando1, Alberto Ballestrero1,3, Gabriele Zoppoli4,5, Sylvain Brohée6, Fabio Ferrando1,3, Piero Fregatti1,3, Davide Bedognetti7. 1. Department of Internal Medicine (DiMI), University of Genoa and Ospedale Policlinico San Martino, Viale Benedetto XV, 6, 16132, Genoa, Italy. 2. Comprehensive Cancer Center Leon Berard, Lyon, France. 3. Ospedale Policlinico San Martino IRCCS per l'Oncologia, Genoa, Italy. 4. Department of Internal Medicine (DiMI), University of Genoa and Ospedale Policlinico San Martino, Viale Benedetto XV, 6, 16132, Genoa, Italy. gabriele.zoppoli@unige.it. 5. Ospedale Policlinico San Martino IRCCS per l'Oncologia, Genoa, Italy. gabriele.zoppoli@unige.it. 6. Institut de Pathologie Et de Génétique a.s.b.l, Charleroi, Belgium. 7. Sidra Medical Center, Doha, Qatar.
Abstract
PURPOSE: Breast cancer (BC) is a heterogeneous disorder, with variable response to systemic chemotherapy. Likewise, BC shows highly complex immune activation patterns, only in part reflecting classical histopathological subtyping. Schlafen-11 (SLFN11) is a nuclear protein we independently described as causal factor of sensitivity to DNA damaging agents (DDA) in cancer cell line models. SLFN11 has been reported as a predictive biomarker for DDA and PARP inhibitors in human neoplasms. SLFN11 has been implicated in several immune processes such as thymocyte maturation and antiviral response through the activation of interferon signaling pathway, suggesting its potential relevance as a link between immunity and cancer. In the present work, we investigated the transcriptional landscape of SLFN11, its potential prognostic value, and the clinico-pathological associations with its variability in BC. METHODS: We assessed SLFN11 determinants in a gene expression meta-set of 5061 breast cancer patients annotated with clinical data and multigene signatures. RESULTS: We found that 537 transcripts are highly correlated with SLFN11, identifying "immune response", "lymphocyte activation", and "T cell activation" as top Gene Ontology processes. We established a strong association of SLFN11 with stromal signatures of basal-like phenotype and response to chemotherapy in estrogen receptor negative (ER-) BC. We identified a distinct subgroup of patients, characterized by high SLFN11 levels, ER- status, basal-like phenotype, immune activation, and younger age. Finally, we observed an independent positive predictive role for SLFN11 in BC. CONCLUSIONS: Our findings are suggestive of a relevant role for SLFN11 in BC and its immune and molecular variability.
PURPOSE:Breast cancer (BC) is a heterogeneous disorder, with variable response to systemic chemotherapy. Likewise, BC shows highly complex immune activation patterns, only in part reflecting classical histopathological subtyping. Schlafen-11 (SLFN11) is a nuclear protein we independently described as causal factor of sensitivity to DNA damaging agents (DDA) in cancer cell line models. SLFN11 has been reported as a predictive biomarker for DDA and PARP inhibitors in humanneoplasms. SLFN11 has been implicated in several immune processes such as thymocyte maturation and antiviral response through the activation of interferon signaling pathway, suggesting its potential relevance as a link between immunity and cancer. In the present work, we investigated the transcriptional landscape of SLFN11, its potential prognostic value, and the clinico-pathological associations with its variability in BC. METHODS: We assessed SLFN11 determinants in a gene expression meta-set of 5061 breast cancerpatients annotated with clinical data and multigene signatures. RESULTS: We found that 537 transcripts are highly correlated with SLFN11, identifying "immune response", "lymphocyte activation", and "T cell activation" as top Gene Ontology processes. We established a strong association of SLFN11 with stromal signatures of basal-like phenotype and response to chemotherapy in estrogen receptor negative (ER-) BC. We identified a distinct subgroup of patients, characterized by high SLFN11 levels, ER- status, basal-like phenotype, immune activation, and younger age. Finally, we observed an independent positive predictive role for SLFN11 in BC. CONCLUSIONS: Our findings are suggestive of a relevant role for SLFN11 in BC and its immune and molecular variability.
Entities:
Keywords:
Basal-like phenotype; Biomarker; Breast cancer; Immune signatures; Schlafen-11
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