Taofeek K Owonikoko1, Bhakti Dwivedi2, Zhengjia Chen2, Chao Zhang2, Benjamin Barwick3, Vinicius Ernani4, Guojing Zhang3, Melissa Gilbert-Ross3, Jennifer Carlisle3, Fadlo R Khuri3, Walter J Curran5, Andrey A Ivanov6, Haian Fu6, Sagar Lonial3, Suresh S Ramalingam3, Shi-Yong Sun3, Edmund K Waller3, Gabriel L Sica7. 1. Department of Hematology/Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia. Electronic address: towonik@emory.edu. 2. Biostatistics Shared Resource, Winship Cancer Institute of Emory University, Atlanta, Georgia. 3. Department of Hematology/Medical Oncology, Winship Cancer Institute of Emory University, Atlanta, Georgia. 4. Division of Oncology and Hematology, University of Nebraska, Omaha, Nebraska. 5. Department of Radiation Oncology, Emory University, Atlanta, Georgia. 6. Department of Pharmacology, Emory University, Atlanta, Georgia. 7. Tissue Procurement and Pathology Shared Resource, Winship Cancer Institute of Emory University, Atlanta, Georgia; Department of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia.
Abstract
INTRODUCTION: The clinical and biological significance of the newly described SCLC subtypes, SCLC-A, SCLC-N, SCLC-Y, and SCLC-P, defined by the dominant expression of transcription factors ASCL1, NeuroD1, YAP1, and POU2F3, respectively, remain to be established. METHODS: We generated new RNA sequencing expression data from a discovery set of 59 archival tumor samples of neuroendocrine tumors and new protein expression data by immunohistochemistry in 99 SCLC cases. We validated the findings from this discovery set in two independent validation sets consisting of RNA sequencing data generated from 51 SCLC cell lines and 81 primary human SCLC samples. RESULTS: We successfully classified 71.8% of SCLC and 18.5% of carcinoid cases in our discovery set into one of the four SCLC subtypes. Gene set enrichment analysis for differentially expressed genes between the SCLC survival outliers (top and bottom deciles) matched for clinically relevant prognostic factors revealed substantial up-regulation of interferon-γ response genes in long-term survivors. The SCLC-Y subtype was associated with high expression of interferon-γ response genes, highest weighted score on a validated 18-gene T-cell-inflamed gene expression profile score, and high expression of HLA and T-cell receptor genes. YAP1 protein expression was more prevalent and more intensely expressed in limited-stage versus extensive-stage SCLC (30.6% versus 8.5%; p = 0.0058) indicating good prognosis for the SCLC-Y subtype. We replicated the inflamed phenotype of SCLC-Y in the two independent validation data sets from the SCLC cell lines and tumor samples. CONCLUSIONS: SCLC subtyping using transcriptional signaling holds clinical relevance with the inflamed phenotype associated with the SCLC-Y subset.
INTRODUCTION: The clinical and biological significance of the newly described SCLC subtypes, SCLC-A, SCLC-N, SCLC-Y, and SCLC-P, defined by the dominant expression of transcription factors ASCL1, NeuroD1, YAP1, and POU2F3, respectively, remain to be established. METHODS: We generated new RNA sequencing expression data from a discovery set of 59 archival tumor samples of neuroendocrine tumors and new protein expression data by immunohistochemistry in 99 SCLC cases. We validated the findings from this discovery set in two independent validation sets consisting of RNA sequencing data generated from 51 SCLC cell lines and 81 primary human SCLC samples. RESULTS: We successfully classified 71.8% of SCLC and 18.5% of carcinoid cases in our discovery set into one of the four SCLC subtypes. Gene set enrichment analysis for differentially expressed genes between the SCLC survival outliers (top and bottom deciles) matched for clinically relevant prognostic factors revealed substantial up-regulation of interferon-γ response genes in long-term survivors. The SCLC-Y subtype was associated with high expression of interferon-γ response genes, highest weighted score on a validated 18-gene T-cell-inflamed gene expression profile score, and high expression of HLA and T-cell receptor genes. YAP1 protein expression was more prevalent and more intensely expressed in limited-stage versus extensive-stage SCLC (30.6% versus 8.5%; p = 0.0058) indicating good prognosis for the SCLC-Y subtype. We replicated the inflamed phenotype of SCLC-Y in the two independent validation data sets from the SCLC cell lines and tumor samples. CONCLUSIONS: SCLC subtyping using transcriptional signaling holds clinical relevance with the inflamed phenotype associated with the SCLC-Y subset.
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