Bottom-up or Top-down: Inflammation Reprograms Paneth Cells to Develop Bowel Cancers
Bibliographic record
Abstract
The origins of colorectal cancer have long been a subject of intense debate. Early observations noted cancer formation in the human gut slightly above the base of crypts, the structural and functional units of the regenerative compartment of the intestinal epithelium. This suggested that the cells of origin for colorectal cancer reside close to the crypt-villus junction, where more differentiated cells are located. However, the specific induction of early cancer-initiating mutations within differentiated cells failed to initiate cancer. The subsequent identification of long-lived Lgr5+ intestinal stem cells and investigations into their role in cancer development further shifted the earlier views, leading to the widely accepted theory that colorectal cancer arises from stem cells and progenitors located at the base of crypts. A recent study published in Nature Genetics by Mathijs P. Verhagen and colleagues challenges this paradigm, providing compelling evidence that differentiated nonstem cell lineages, particularly Paneth cells, can serve as a source of intestinal tumorigenesis, especially in the context of inflammation and the consumption of a Western-style diet. This work significantly advances our understanding of the colorectal cancer initiation process and provides a new paradigm that may explain the increasingly higher incidence of colorectal cancer in younger people.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".