Fig. 3: DSP profiles of immuno-oncological protein markers and whole transcriptomes from different pathological regions of SCLC. | Cell Discovery

Fig. 3: DSP profiles of immuno-oncological protein markers and whole transcriptomes from different pathological regions of SCLC.

From: Single-cell and spatial proteo-transcriptomic profiling reveals immune infiltration heterogeneity associated with neuroendocrine features in small cell lung cancer

Fig. 3

a Schematic of DSP profiling. Surgically resected tumors (n = 45) were subjected to DSP profiling. Three cores per tumor were selected by experienced lung cancer pathologists to build tissue microarray (TMA). One patient with final pathology showing large cell carcinoma was excluded. A total of 245 ROIs with different pathological characteristics were selected for DSP staining and subsequent analysis. Serial sections of the TMA were run through GeoMx RNA (top) or GeoMx protein (bottom) assays. Both assays were readout using next-generation sequencing. b Concomitant mIF images of TMA. Representative images for the tumor nest (inside tumor area and cytokeratin-positive), tumor stroma (inside tumor area and CD45+/CD3+ but cytokeratin–), and para-tumor region (tumor adjacent, morphologically normal lung) are shown. c PCA of WTA data (top) and protein data (bottom) from each ROI. Each dot indicates one ROI, and the x axis and y axis represent principal components 1 and 2, respectively. Green, orange, and blue colors represent tumor nest, tumor stroma, and para-tumor ROIs as defined above, respectively. d Differentially expressed immune-related genes annotated using GO_Immune dataset.

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