Publicação
Targeting m6A-SCG2-TAMs axis overcomes 5-FU resistance in colorectal cancer via a multi-omics model
| dc.contributor.author | Sun, Yiming | |
| dc.contributor.author | Peng, Ke | |
| dc.contributor.author | Li, Yuening | |
| dc.contributor.author | Zheng, Daofeng | |
| dc.contributor.author | Liu, Ling | |
| dc.contributor.author | Yin, Jiuheng | |
| dc.contributor.author | Yu, Kun | |
| dc.contributor.author | Xu, Cong | |
| dc.contributor.author | Conde, João | |
| dc.contributor.author | Li, Zhixi | |
| dc.contributor.author | Yin, Chengliang | |
| dc.contributor.author | Wang, Wensheng | |
| dc.contributor.author | Xiao, Weidong | |
| dc.contributor.institution | Centre for Toxicogenomics and Human Health (ToxOmics) | |
| dc.contributor.institution | NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) | |
| dc.contributor.pbl | Nature Publishing Group | |
| dc.date.accessioned | 2026-07-15T10:18:01Z | |
| dc.date.available | 2026-07-15T10:18:01Z | |
| dc.date.issued | 2026-07-03 | |
| dc.description | © 2026. The Author(s). | |
| dc.description.abstract | Chemoresistance to 5-fluorouracil (5-FU) remains a critical barrier in colorectal cancer (CRC) management. This study integrates multi-omics data from 26,192 human samples to elucidate the RNA methylation-mediated crosstalk between tumor-associated macrophages (TAMs) and tumor cells. Machine learning models were able to effectively stratify patients by risk and identified a core signature of six genes (including SCG2), whose expression patterns were associated with poor prognosis and chemotherapy resistance-related phenotypes. Mechanistically, 5-FU elevates m6A modification in TAMs, polarizing them toward the M2 phenotype. SCG2 mRNA methylation promotes TNF-α ubiquitination, reducing its levels and thereby sustaining NF-κB activation in tumor cells to drive PCD resistance. The core candidate genes (CCGs) model effectively predicts survival outcomes. Targeting SCG2 represents a novel strategy to reverse chemoresistance by disrupting TAMs-tumor crosstalk, offering actionable targets for personalized therapy optimization. | en |
| dc.description.version | authorsversion | |
| dc.description.version | epub_ahead_of_print | |
| dc.format.extent | 82436562 | |
| dc.identifier.doi | 10.1038/s41746-026-02920-y | |
| dc.identifier.issn | 2398-6352 | |
| dc.identifier.other | PURE: 168141342 | |
| dc.identifier.other | PURE UUID: d0910d4c-e2fc-432a-abe3-e3eb34586b7f | |
| dc.identifier.other | PubMed: 42399406 | |
| dc.identifier.uri | http://hdl.handle.net/10362/204530 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.subject | SDG 3 - Good Health and Well-being | |
| dc.title | Targeting m6A-SCG2-TAMs axis overcomes 5-FU resistance in colorectal cancer via a multi-omics model | en |
| dc.type | journal article | |
| degois.publication.title | npj Digital Medicine | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess |
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