Immune Cell Composition of Liver Hepatocellular Carcinoma and its clinical relevance: A research based on TCGA database
Abstract Background Liver hepatocellular carcinoma (LIHC), as the main type of liver cancer, has become a main health issue as the third-most common cause of mortality in cancer patients. However, conventional chemo- or radio- therapies shows little improvement in survival, which calls for novel therapies. Because of the immunotolerance mechanism existing naturally in liver, immunotherapy provides significant effect in treatment of LIHC patients. Up to now, various immunotherapies have been proposed, but due to the complex pathways from which LIHC cancerous cell escape immunosurveillance, combined therapies are often needed, which are still under development. Methods In the current study, with data downloaded from TCGA database, CIBERSORT was performed for identifying the composition of infiltrating immune cells and further statistical analyses using R 3.5.3 were carried out, aiming at connecting specific immune cells with clinical survival. Results With data of immune and stromal scores downloaded from the website of MD Anderson Cancer Centre, both showed significance in survival time. Further analyses based on the result of CIBERSORT demonstrated that the number of macrophages M0 and T cells CD8 infiltration between para-carcinoma and tumour tissues are markedly different. With combination of clinical data, we were able to identify that a higher amount of activated NK cells (p=0.008) and a lower amount of resting NK cells (p=0.047) presented a longer survival time. Conclusion With the help of the TCGA database and multiple techniques, statistical analyses of transcriptome profiling data and clinical data were successfully carried out. The results in this study may pave the way for a new therapeutic strategy which could be combined with current treatments to further improve the clinical outcome of LIHC patients. Further and deeper investigation of other available data, however, were needed in order to verify the results of current study.