The Desmoplastic Reaction Surrounding Hepatic Colorectal Adenocarcinoma Metastases Aids Tumor Growth and Survival via αv Integrin Ligation
Bibliographic record
Abstract
PURPOSE: The treatment of metastatic colorectal carcinoma represents a major clinical challenge. We investigated the hypothesis that the desmoplastic reaction within the liver elicited by metastatic adenocarcinoma, characterized by collagen I deposition and altered collagen IV distribution, promotes the growth and survival of hepatic colorectal carcinoma metastases. EXPERIMENTAL DESIGN: Partial hepatectomy specimens for metastatic colorectal adenocarcinoma were examined immunohistochemically for differential integrin expression. Human colorectal adenocarcinoma cell lines HT-29, KM12SM, and KM12c were grown on wild-type collagen I or IV, or cleavage-resistant r/r collagen I, and assessed for their growth, survival, and resistance to 5-fluorouracil. The effect of alpha(v)beta(3) and alpha(v)beta(5) integrin blockade by neutralizing antibodies was examined. RESULTS: Collagen I, in contrast to collagen IV, significantly enhanced the growth, survival, and chemoresistance of colorectal carcinoma cells. Blockade of the alpha(v)beta(3) and alpha(v)beta(5) integrins significantly reduced colorectal carcinoma cell proliferation on collagen, especially in the cell line with the most metastatic potential. These in vitro findings correlated with the pattern of integrin expression identified within resected hepatic colorectal carcinoma metastases. Using matrix metalloproteinase-resistant r/r collagen I as a dominant negative ligand for alpha(v) integrins, we showed a key role for this integrin-ligand interaction in mediating the survival and proliferation of colorectal carcinoma cells. CONCLUSIONS: Desmoplasia has an important role in the development of hepatic colorectal carcinoma metastasis. The interaction between integrin and collagen I is identified as a 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) | 0.001 | 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".