CPNE7 promotes colorectal tumorigenesis by interacting with NONO to initiate ZFP42 transcription
Bibliographic record
Abstract
Colorectal cancer (CRC) is the third most common cancer worldwide and the second leading cause of cancer-related death globally. Also, there is still a lack of effective therapeutic strategies for CRC patients owing to a poor understanding of its pathogenesis. Here, we analysed differentially expressed genes in CRC and identified CPNE7 as a novel driver of colorectal tumorigenesis. CPNE7 is highly expressed in CRC and negatively correlated with patients' prognosis. Upregulation of CPNE7 promotes proliferation and metastasis of cancer cells in vitro and in vivo, and vice versa. Mechanistically, CPNE7 interacts with NONO to initiate ZFP42 transcription, thus promoting CRC progression. Moreover, ZFP42 knockdown inhibits tumor cell proliferation and migration while promoting apoptosis. Notably, delivery of CPNE7 shRNA or the small molecule gramicidin, which blocks the interaction between CPNE7 and NONO, hinders tumor growth in vivo. In conclusion, our findings demonstrate that the CPNE7-NONO-ZFP42 axis promotes colorectal tumorigenesis and may be a new potential therapeutic target.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".