Dissection and reconstruction of the colorectal cancer tumor microenvironment
Broguiere, N.; Lorenzo-Martin, L. F.; Ragusa, S.; Rivest, F.; Brandenberg, N.; Hohnel, S.; Dutta, D.; Gueye, M.; Alpern, D.; Deplancke, B.; Kandalaft, L.; Coukos, G.; Homicsko, K.; Lutolf, M. P.
Show abstract
Patient-derived organoids (PDOs) are the reference in vitro human disease models. However, the utility of colorectal cancer (CRC) PDOs is hindered by the lack of a tumor microenvironment (TME). To address this limitation, we built a living biobank of CRC PDOs with autologous stromal and immune TME. We characterized the original tumors and traditional monocultures using single-cell RNA-seq (scRNA-seq) and whole exome sequencing (WES) to obtain insights into cell type selection and phenotypic drift in culture. Subsequently, we developed culture conditions supporting all cell types to recapitulate the CRC-TME around PDOs. From the transcriptomes of >180k cells obtained from 260 such co-cultures, we illuminated the mutual influence of cells within CRC tumors. Based on original tumor data, atlases of predicted interactions and transcriptional networks elucidated why monocultures were altered and suggested that TME reconstruction more accurately reflected original tumor behavior. We found that inflammatory signals were absent in vitro and recovered upon co-culture with tumor-infiltrating lymphocytes (TILs). We also functionally confirmed that stromal, not cancer cells, mediated immune evasion. Additionally, stroma induced an invasive phenotype in cancer cells. From this deep dive into CRC-TME interactions, we built the human CRC-TME atlas (https://crc-tme.com/), an online portal for interactive exploration of gene expression data, prediction of cell-cell interactions at the pathway and receptor/ligand levels, transcriptional networks, and more. We anticipate PDO cultures with reconstructed TMEs will be valuable for discovery efforts, preclinical studies, and personalized medicine, with the atlas as a framework and inspiration for future CRC-TME studies.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Mapping and modeling human colorectal carcinoma interactions with the tumor microenvironment 98%
- Single-Cell RNA Sequencing Reveals the Effects of Chemotherapy on Human Pancreatic Adenocarcinoma and its Tumor Microenvironment 97%
- Single-cell analysis of patient-derived PDAC organoids reveals cell state heterogeneity and a conserved developmental hierarchy 96%
Similar papers in this journal
- Single-cell integration and multi-modal profiling reveals phenotypes and spatial organization of neutrophils in colorectal cancer 97%
- Single-cell lineage and transcriptome reconstruction of metastatic cancer reveals selection of aggressive hybrid EMT states 95%
- Systematic Elucidation and Pharmacological Targeting of Tumor-Infiltrating Regulatory T Cell Master Regulators 95%
Similar papers in this journal
- An organoid co-culture model for probing systemic anti-tumor immunity in lung cancer 96%
- Molecular phenotyping of colorectal neoplasia shows dynamic and adaptive cancer stem cell population admixture 95%
- Space-Time Mapping Identifies Concerted Multicellular Patterns and Gene Programs in Healing Wounds and their Conservation in Cancers 95%
Similar papers in this journal
- Single-nucleus and spatial landscape of the sub-ventricular zone in human glioblastoma 95%
- An iPSC-derived small intestine-on-chip with self-organizing epithelial, mesenchymal and neural cells 95%
- MAPK14/p38α Shapes the Molecular Landscape of Endometrial Cancer and promotes Tumorigenic Characteristics 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.