Single-cell reanalysis highlights the MIF-PTGDR axis as a candidate immunoregulatory program in hepatocellular carcinoma
Dingzhi Liu, Lang Yan, Huiya Chen, Ling Yuan · 2026
Read Single-cell reanalysis highlights the MIF-PTGDR axis as a candidate immunoregulatory program in hepatocellular carcinoma by Dingzhi Liu, Lang Yan, Huiya Chen, Ling Yuan (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13469041.txt.
Description
Dingzhi Liu and co-authors reanalyze public single-cell data in 2026 to find the signaling conversations that help liver cancer suppress its immune attackers. Hepatocellular carcinoma is among the deadliest cancers, and its microenvironment is crowded with regulatory T cells that brake immunity and exhausted T cells that have given up. The team pulled single-cell RNA sequencing data from a public repository and processed it with standard clustering and cell annotation workflows.
Their reanalysis highlights a candidate axis between the signal MIF and the receptor PTGDR as an immunoregulatory program tied to those dysfunctional T-cell states. Mapping which cells send and receive such signals matters because immunotherapy for liver cancer works in only a minority of patients. A named sender-receiver axis gives drug developers a specific conversation to interrupt, and the study shows public data, carefully re-mined, can still yield fresh targets.
Catalog record
| CREATOR | Dingzhi Liu, Lang Yan, Huiya Chen, Ling Yuan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45544 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |