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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: Immune profiling and prognostic model of pancreatic cancer using quantitative pathology and single-cell RNA sequencing

Fig. 1

Graphical scheme describing the workflow. A TMA was subjected to multiplex IHC (mIHC), and the immune features were generated using quantitative pathology to characterize the immune landscape of PDAC. B We compared the differences in immune features between PDAC and adjacent noncancerous TMA cores. The correlations between these immune features were observed. Then, the prognostic models were developed using Univariable and Multivariable Cox regression according to these immune features. C ScRNA-seq was conducted to further explore the immune landscape of PDAC and identify the receptor-ligand interactions between PD1 + T cells and PD-L1 + tumor cells

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Journal of Translational Medicine

ISSN: 1479-5876

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