Lineage-dependent gene expression programs influence the immune landscape of colorectal cancer

By Hae-Ock Lee, Yourae Hong, H. Etlioglu, Y. Cho, V. Pomella, Ben Van den Bosch, Jasper Vanhecke, Sara Verbandt, H. Hong, Jae-Woong Min and 27 more. Nature Genetics, 2020

686 citations recorded by the source corpus.

Subfields: Immunology, Oncology

View Paper: https://www.semanticscholar.org/paper/9ed4b1c848ca05cdc9c1aae92b178f374adaabe4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Immunology

1. V. Kuchroo
2. Arlene H. Sharpe
3. A. Anderson
4. Aviv Regev
5. Nir Hacohen
6. D. Pardoll
7. G. Freeman
8. E. Wherry

In Oncology

1. Arlene H. Sharpe
2. A. Anderson
3. V. Kuchroo
4. E. Wherry

Citations in the corpus

• IOBR: Multi-Omics Immuno-Oncology Biological Research to Decode Tumor Microenvironment and Signatures (2020, methodology): “We utilized scRNA-seq data derived from patients in a colon rectal cancer cohort to extract cell-type-specific gene expression signatures that were identified by cluster analysis in the literature (22).”
• Spatially organized multicellular immune hubs in human colorectal cancer (2021, methodology): “CXCL13 in T cells has been noted in other CRC and melanoma single-cell studies (Lee et al., 2020; Li et al., 2019; Zhang et al., 2018) and has recently emerged as a marker of human tumor-reactive”