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. 2022 Sep 1;20:4806–4815. doi: 10.1016/j.csbj.2022.08.064

Fig. 3.

Fig. 3

Advanced genomic analysis strategies for PDAC model systems. Low tumor cellularity and complex TME of PDAC are obstacles to performing precise genomic analysis. (A) Issues of low tumor cellularity issue can be physically resolved by resecting tumor cells through microdissection. (B) Acquisition of more genomic data by increasing sequencing depth, improving chances of detecting genomic information of cancer cells. (C) Filtering out genomic data of other species helps to focus on human-derived cells in cases of low cellularity caused by including non-human genomic data such as PDX. (D) scRNA-seq provides highest resolution to unravel complex TME at a single-cell level. (E) Classification accuracy can be improved by subtype prediction model using computational approaches such as artificial intelligence. (F) Addition of stromal components on 3D cultures is an experimental strategy to mimic complex TME of tissues.