Fig. 1 | Signal Transduction and Targeted Therapy

Fig. 1

From: Characterization of the extrinsic and intrinsic signatures and therapeutic vulnerability of small cell lung cancers

Fig. 1The alternative text for this image may have been generated using AI.

Microenvironment landscape of small cell lung cancer (SCLC). a Schematic representation of the transcriptomic study design, utilizing a total of 65 samples from 39 patients with SCLC for single-cell RNA sequencing. b Dot plot of selected marker genes in each cell lineage. Dot size and color indicate the fraction of expressing cells and normalized expression levels, respectively. c UMAP visualization of expression profile clusters for cancer and immune cells within the tumor microenvironment, identifying 7 major cell types (left panel) and 58 major subtypes (right panel). d Bar plots illustrating the distribution of the 7 major cell types in each sample, categorizing samples as tumor samples (pre- or posttherapy), adjacent normal tissues (pre- or posttherapy), peripheral blood mononuclear cells (PBMCs), and lymph nodes. e Comparison of the ratios of T/NK cell, Mφ/monocyte, and B cell in the tumor tissues of patients with NSCLC (Wu et al.28 and Zhang et al.29) and SCLCs (this cohort, Wang et al.) via scRNA-seq analysis. Data were obtained from the scRNA-seq datasets GSE14807128 and GSE207422.29 f Comparison of the relative enrichment of T cell, Macrophage/monocyte, and B cell in the bulk RNA-seq data of this cohort (Wang et al.), George et al.,2 Zhang et al.125 and Jiang et al.5 cohorts. The enrichment scores for T cells, macrophages/monocytes, and B cells were calculated via the Xcell algorithm. g Tertiary lymphoid structures (TLSs) in patients receiving neoadjuvant therapy. Images of three patients are shown, and patient characteristics are listed within the images. Pan-CK, pancytokeratin. h Quantification of TLSs in g. P value, Student’s t test. ***, P < 0.001

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