2021
DOI: 10.1016/j.ccell.2021.10.009
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Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification

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Cited by 199 publications
(215 citation statements)
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“…15c,d). This subset, which we term protumorigenic macrophages and expresses PCOCE2 and SIGLEC1 among top marker genes, closely resembled tissue resident tumor-associated macrophage subsets recently described 36,37 that establish a niche favorable for tumor growth. Three other subsets (clusters M0, M4 and M5) demonsted heterogeneous expression (Extended Data Fig.…”
Section: Mainmentioning
confidence: 57%
“…15c,d). This subset, which we term protumorigenic macrophages and expresses PCOCE2 and SIGLEC1 among top marker genes, closely resembled tissue resident tumor-associated macrophage subsets recently described 36,37 that establish a niche favorable for tumor growth. Three other subsets (clusters M0, M4 and M5) demonsted heterogeneous expression (Extended Data Fig.…”
Section: Mainmentioning
confidence: 57%
“…Processed count data was downloaded from gene expression omnibus under GSE121636 (76) GSE123814 (77), GSE139555 (78), GSE145370 (79), GSE154826 (80), GSE155698 (81), GSE176078 (82). Ovarian data was downloaded from code repository (83).…”
Section: Methodsmentioning
confidence: 99%
“…In an interesting paper, recently published in Cancer Cell by Leader et al., 5 the authors, deeply studied 361 929 single cells from 35 early-stage NSCLC lesions by using single-cell RNA analyses. The authors integrated the results of single-cell RNA sequencing (scRNA-seq) of immune cells with cellular indexing of transcriptomes and epitopes by sequencing (CITEseq; 3), which allows the evaluation of both scRNA-seq and multiplexed single-cell surface protein measurements.…”
Section: Single-cell Analysis Of Human Non-small-cell Lung Cancer Lesions Refines Tumor Classification and Patient Stratificationmentioning
confidence: 99%