YTHDF1 targets the chemotherapy response by suppressing NOTCH1-induced stemness in colorectal cancer
Bibliographic record
Abstract
Abstract N 6 -methyladenosine (m 6 A) modification of mRNAs is a predominant epigenetic regulatory mechanism in tumor initiation and progression. Cancer stem cells (CSCs) are the key drivers of colorectal cancer (CRC) initiation and chemotherapy resistance. Here, we found that the m 6 A reader YT521-B homologous domain family, member 1 (YTHDF1), promotes CRC stemness, tumorigenesis, and chemotherapy resistance. YTHDF1 protein expression was positively correlated with CD133 and LGR5 expression in human CRC tissues (N = 184, P < 0.001 for both markers). YTHDF1 promoted m 6 A-dependent self-renewal in CSCs and patient-derived organoids and increased the tumor-initiating potential in vivo. Lgr5-specific Ythdf1 -KI mice presented accelerated Apc Min/+ ( P < 0.05) and AOM/DSS ( P < 0.05)-induced colorectal tumorigenesis, whereas Lgr5-specific Ythdf1 knockout in Apc Min/+ mice inhibited tumorigenesis ( P < 0.01). Integrative multiomic profiling revealed NOTCH1 as a downstream target. YTHDF1 binds m 6 A-modified NOTCH1 , promoting its translation and enhancing NOTCH signaling. NOTCH1 knockdown or blockade by the γ-secretase inhibitor DAPT abolished YTHDF1-mediated tumorigenesis in Ythdf1 knock-in mice ( P < 0.01). YTHDF1 promoted resistance to oxaliplatin and 5-fluorouracil in CSCs by inhibiting apoptosis and DNA damage. AOM/DSS-treated Ythdf1 knock-in mice presented increased resistance to oxaliplatin ( P < 0.001) and 5-fluorouracil ( P < 0.05). Translationally, in vivo targeting of YTHDF1 via VNP-encapsulated si YTHDF1 or salvianolic acid C inhibited tumor growth ( P < 0.05 for both treatments) and increased treatment efficacy when VNP was combined with oxaliplatin ( P < 0.05, SAC: P < 0.01) or 5-fluorouracil ( P < 0.05 for both treatments). In conclusion, YTHDF1 promotes stemness and chemoresistance in CRC via NOTCH1 activation. Targeting YTHDF1 is a promising strategy to improve the outcome of chemotherapy in CRC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".