1034 Analysis of factors associated less differentiated T cells in breast cancer for improvement of adoptive T cell therapy

• Published in: Journal for immunotherapy of cancer 2022-11, Vol.10 (Suppl 2), p.A1076-A1076
• Main Authors: Jeong-Han, Seo, Lee, Hyeonjin, Gong, Gyungyub, Hee Jin Lee, Jung, Sung Wook
• Format: Article
• Language: English
• Subjects: Breast cancer; Datasets; Epigenetics; Immunotherapy; Lymphocytes; Metabolism; Transcription factors
• ISSN: 2051-1426
• DOI: 10.1136/jitc-2022-SITC2022.1034

BackgroundThe survival and proliferative potential of T cells in vivo is related to the differentiation status of T cells. Less differentiated cells show prolonged survival duration and effective anti-tumor response for adoptive T cell therapy. To improve in vivo sustainability of adoptive T cell therapy, we analyzed factors associated with less differentiated T cells in breast cancer.MethodsWe performed a single cell RNA (scRNA) sequence of CD45+ immune cells from 21 breast cancers. Basic analysis was performed using the Seurat package, and immune cells were clustered through UMAP. CD8+ cluster was defined using CD3E, CD8A, and CD8B markers. Differentially expressed genes between differentiated and less differentiated cells were assessed in 3 conditions [SELL-CCR7- (Tem) vs. SELL+CCR7+ (early memory T cell); CD39+CD69+ (terminally differentiated T cell) vs. CD39-CD69- (Tscm phenotype); KLRG1+CD127- (terminal effector cells) vs. KLRG1-CD127+ (pre-memory cell phenotype)]. Genes related to transcription factor and metabolic genes and epigenetic pathways were identified. We also derived data from 5 breast cancer scRNA datasets identified in the NCBI-Gene Expression omnibus and performed the same process as above.Results29,102 CD8+ T cells from 6 datasets were analyzed (GSE141665, n=1,767; GSE114724, n=8,400; GSE161529, n=3,023; GSE176078, n=8,036; GSE110686, n=1,214; in house, n=6,662). Based on the 3 conditions in each dataset, up-regulated genes were classified by comparing more and less differentiated phenotypes, and the identified genes were annotated as transcription factors, metabolic genes, and epigenetic genes (transcription factors, n=138, 128, 246, 452, 35, and 546; metabolic genes, n=324, 230, 700, 1,224, 63, and 1,262; epigenetic genes, n=24, 34, 53, 106, 7, and 546 for each dataset, respectively). Total 486 genes, which were up-regulated in less differentiated CD8+ T cells, were obtained by sorting two or more overlapping conditions among the 3 conditions in each dataset (GSE141665, n=141; GSE114724, n=154; GSE161529, n=305; GSE176078, n=840; GSE110686, n=22; in house, n=974). Among 486 genes obtained from 6 datasets, 17 genes including FOS, JUNB, and LEF1 were present in all datasets.ConclusionsBy combining 21 tumor samples and 5 public datasets, we identified 17 up-regulated genes, which are transcription factors or genes associated with metabolic and epigenetic pathways, in less differentiated CD8+ T cells. Further studies modulating these gen