Overexpression of <i>m</i>-Calpain in Human Colorectal Adenocarcinomas
Bibliographic record
Abstract
BACKGROUND: Calpains represent a well-conserved family of Ca2+ -dependent proteolytic enzymes. Recently, the importance of calpain in the metastatic process has received great attention. To investigate whether m-calpain contributes to the pathogenesis of colorectal cancer, we investigated the expression of m-calpain and its inhibitors, calpastatin and high-molecular-weight calmodulin-binding protein (HMWCaMBP), in human colorectal surgical specimens. METHODS: Fifty cases of colon carcinoma were evaluated for this study. Of 50 cases evaluated, we presented in this report six cases for m-calpain, calpastatin and HMWCaMBP protein expression by Western blot analyses was done in both normal and invasive tumor components of human samples. In addition, immunohistochemistry analysis was also carried out in all patients. RESULTS: The activity and protein expression of m-calpain was significantly higher in colorectal adenocarcinoma than in normal colonic mucosa. This finding was corroborated by immunohistochemical studies that showed strong cytoplasmic staining in the colon tumors with m-calpain antibody. The decreased expression of these calpain inhibitors (calpastatin and HMWCaMBP) paralleled increased activity and expression of calpain in colorectal adenocarcinoma and the well-documented involvement of this Ca2+ -dependent protease in colon tumor. CONCLUSION: Increased activity and moderate staining of m-calpain in polyps show the usage of this enzyme as a marker for the early detection of colorectal adenocarcinoma using immunologic approaches. These findings represent the first description of calpain overexpression in colorectal cancer. This has implications with regard to the design of chemotherapeutic drugs as well as in monitoring colorectal cancer in early stages of the metastatic process.
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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".