Table 2.
Updating subtypes based on PDAC stroma.
| Study | Multi-omics involved | Main discovery | Subtypes/classifier |
|---|---|---|---|
| 2017 Knudsen75 (n = 109 PDAC cases) | Immunohistochemical analysis and staining and exome sequencing | Different stromal phenotypes: various prognostic impacts; distinct glycolysis-related and hypoxic markers; differentiated immune infiltrations | Four major subtypes: cold, mutationally cold, hot, and mutationally active |
| 2019 Neuzillet78 (n = 96 PDAC samples) | RNA-Seq | Various CAF classifications could co-exist in a patient. Each CAF subtype has its specific phenotypes including immune-related pathways, proliferative rates, and gene expression profiles, and displays different survival outcomes | Four distinct CAF subtypes |
| 2021 Barbara77 (n = 32 treatment-naive PDAC resections) | Shotgun proteomics and RNA-Seq | Two kinds of reactive and deserted sub-TMEs exhibit corresponding immune phenotypes and CAF differentiation states. Intra-tumoral sub-TME co-occurrence performs tumor-promoting and chemoprotective functions separately, linking stromal heterogeneity to patient outcome | A prognostic classifier of “TME PHENOtyper" |
| 2021 Tu79 (n = 23 PDX and FACS-isolated tumor tissue biopsies) | ATAC-Seq, ChIP-Seq and RNA-Seq | Basal-like: regulated by cJUN/AP1; TNF-α-secreting macrophages recruited; pharmacological value of BRD4. Classical: regulated by JUNB/AP1 | TNF-α+ macrophages regulate phenotypic properties |
| 2022 Wang76 (n = 269 PDAC samples) | PDAC expression profile data and ssGSEA algorithm | Multiple immune expression patterns, and immune and stromal enrichment molecular markers were discovered | Four subtypes based on different combinations of immune and stromal status |
| 2023 Zheng81 (n = 11 publicly available datasets from GEO, TCGA, and ICGC) | scRNA-seq and bulk RNA-seq | High-TMGS: more frequent germline mutations and TMB; attenuated immune infiltration but enhanced ICB response rate. Low-TMGS: responsible for chemotherapy and targeted therapy | A constructed TMGS system based on 10 T cell marker genes to predict survival status and treatment response |
| 2023 Wang80 (n = 5 PMN coupled with tumor-infiltrating immune cells) | Single-cell transcriptomics | TAN-1: poor prognosis. TAN-4: enriched in interferon-stimulated genes | Four distinct TAN subtypes |
Abbreviations: ATAC-seq, assay for transposase accessible chromatin with high-throughput sequencing; ChIP-Seq, chromatin immunoprecipitation sequencing; CAF, cancer-associated fibroblast; PMN, peripheral polymorphonuclear leukocytes; TANs, tumor-associated neutrophils; ICB, immune checkpoint blockade therapy.