Abstract 4242: Systematic transcriptome analysis of small cell carcinoma of esophagus suggests a possibility for immunotherapy

Abstract

Abstract Background/Aims: Small cell carcinoma of the esophagus (SCCE) is a rare and highly deadly malignancy with rapid disease progress and extensive metastasis, whereas present therapy for the cancer is limited, making the identification of a new treatment strategy an area of intense research. We previous reported the genomic characteristics and alterations of the SCCE, but the transcriptome abnormality of the cancer has not been investigated yet. Method: we performed an RNA Sequencing on nine paired samples from patients with SCCE and conducted a series of comprehensive analysis on the data. DESeq2 and GSEA were applied on transcriptome of SCCE tumor tissue and their para-normal to identify differential expressive genes and associated pathways. Besides, with MCP-counter and a list of immunity related genes, we also compared immune signal of the expression data in pair. By applying a rigorous batch removing strategy, including preprocessing raw data in identical method and RUVSeq, transcriptome data of healthy esophageal mucosa from GTEx was involved as control samples in comparison. In addition, we applied CIBERSORT to calculate the fraction of different tumor infiltrated leukocytes (TILs) of SCCE and compare the number with those of other cancers that have been proven to be potentially responsive to immunotherapy. Results: We identified 1486 and 1782 genes were significantly up-regulated and down-regulated in SCCE tumor tissue against their para-normal, respectively. Pathway analysis revealed the E2F Target and G2M checkpoint are significantly enriched in tumor tissue. Immune signal analysis across the samples in pair showed that in 3 out of 9 paired sample, immunity reaction upregulates in tumor tissue. T-SNE cluster across transcriptome data of SCCE tumor tissue, their para-normal and healthy esophageal mucosa showed the para-normal tissue, namely the normal tissue adjacent to tumor, is more similar to tumor tissue than the healthy. CIBERSORT analysis showed the difference in TILs fraction between SCCE and the compared cancers. For example, the relative fraction of plasma cell of SCCE is higher than those of ESCC(P=0.040), CIN type of STAD(P=0.040), while lower than those of SCLC(P=0.020). M2 macrophages is higher in SCCE than ESCC(P=0.002), EAC(P<0.001), CIN type of STAD(P<0.001), HNSCC(P<0.001), while Tregs of SCCE is lower than EAC(P=0.012) and CIN type of STAD(P=0.015). The result reflects the robust but suppressed immunity in tumor microenvironment of the cancer. Cluster with all TILs across SCCE and the compared cancers also showed the similarity of immuno-microenvironment between SCCE and small cell lung cancer. Conclusion: In summary, our analysis provides transcriptome evidence that immunotherapy might be an efficient treatment strategy for small cell esophagus cancer. Citation Format: Qi Zhao, Yan-xing Chen, Ying-nan Wang, Qi-nian Wu, Hui Sheng, JIa-jia Hu, Yun-xin Lu, Ze-xian Liu, Zhi-xiang Zuo, Feng Wang, Rui-hua Xu. Systematic transcriptome analysis of small cell carcinoma of esophagus suggests a possibility for immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4242.