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. 2021 Jun 9;14:91. doi: 10.1186/s13045-021-01105-2

Table 4.

Key findings related to immune cells within various tumor lesions obtained using single-cell sequencing

Tumor Technology Platform Key findings References
osteosarcoma scRNA-seq 10X Genomics Identified proinflammatory FABP4 + macrophage infiltration in lung metastatic lesions and revealed that TIGIT blockade enhances the effects of the primary CD3 + T cells [91]
LUAD, LUSC Bulk and scRNA-seq 10X Genomics Revealed that the neoantigen burden is negatively associated with immune cell infiltration and affects evolutionary dynamics [78]
RCC scRNA-seq 10X Genomics T cell exhaustion is a key factor that represses immunity; PD-L1, LAG3, TIM-3 are potential targets [56]
RCC scRNA-seq, flow cytometry 10X Genomics The baseline and dynamic renal cell carcinoma tumor burden influence the T cell repertoire; baseline TCR β-China is associated with the prognosis [154]
CAC scRNA-seq, flow cytometry 10X Genomics Identified the transcriptomic signatures of CD4 + T cells between antitumor and anti-viral infection responses [155]
cHL scRNA-seq, imaging mass cytometry CyTOF Identified LAG3 + Tregs in MHC-II-negative classic HL [134]
HCC scRNA-seq 10X Genomics, CyTOF Identified the trajectory and functional analysis of CD4/CD8 double-positive T cells enriched in L regions with synergetic expression of PD-1/HLA-DR/ICOS/CD45RO and certain transcription factors [142]
HCC scRNA-seq 10X Genomics Identified the abnormal immune cells contents dynamics in relapse tumors [137]
HCC scRNA-seq, flow cytometry 10X Genomics Identified the M2 macrophages that expressed CCL18 and CREM at high levels, as well as XCL1 + activated T cell subsets as a ‘pre-exhaustion’ status [136]
HCC scRNA-seq 10X Genomics, SMART-Seq 2 Identified the enrichment of MIAT in FOXP3 + CD4 + T cells and PDCD1 + /GZMK + CD8 + T cells, which modulates the expression of distinct genes (JAK2, SLC6A6, KCND1, MEIS3 or RIN1) to contribute to immune escape [228]
CTCL scRNA-seq 10X Genomics Identified the heterogeneity of malignant T cells [229]
CTCL scRNA-seq, flow cytometry 10X Genomics Identified the FOXP3 + T cells transiting to GATA3 + or IKZF2 + tumor cells during clonal evolution, which could be used to classify the tumor stage and predict early-stage progression [230]
Osteosarcoma scRNA-seq 10X Genomics Revealed that TIGIT blockade enhances the cytotoxic effects of the primary CD3 + T cells on advanced osteosarcoma [91]
Lung cancer scRNA-seq, flow cytometry 10X Genomics Compared the cancer cells and CD3 + T cells between GGN-ADC and SADC [215]
Breast caner scRNA-seq 10X Genomics Identified the characteristics of myeloid-derived suppressor cells [231]
PDAC scRNA-seq 10X Genomics Identified a subset of ductal cells with proliferative features associated with inactivating T cells [49]
GBM Single-cell and bulk RNA sequencing 10X Genomics Revealed the molecular determinants, including TLE2 and IKZF2, required to improve the CAR antitumor efficacy; identified the genes sensitive to CART therapy [232]
MM scRNA-seq, flow cytometry 10X Genomics Identified the myeloma cells equipped with an immune invasion ability due to the upregulation of inhibitory molecules for cytotoxic T cells and NK cells [233]
CRC scRNA-seq Illumina Bio-Rad Revealed the increased infiltration of granulocytes and the underlying mechanisms, which are associated with ferroptosis-mediated cell death and Wnt signaling pathway activation in colorectal cancer liver metastases [234]
NSCLC scRNA-seq, flow cytometry 10X Genomics Identified 25 tumor-infiltrating myeloid cell states that are conserved in tumor lesions from patients [10]
B cell malignancies scRNA-seq, TCRB seq 10X Genomics Disclosed the transcriptional programs identifying the clones after CAR-T cell infusions that mainly originated from infused clusters with high expression of cytotoxicity- and proliferation-related genes [235]

RCC: renal cell carcinoma; HCC: hepatocellular carcinoma; CAC: colon adenocarcinoma; cHL: classic Hodgkin lymphoma; CTCL: cutaneous T cell lymphoma; NSCLC: non-small-cell lung cancer; PDAC: pancreatic ductal adenocarcinoma; CyTOF: cytometry by time-of-flight; MIAT: myocardial infarction-associated transcript; GBM: glioblastoma; CAR: chimeric antigen receptor; MM: multiple myeloma