GHK, the Human Skin Remodeling Peptide, Induces Anti-Cancer Expression of Numerous Caspase, Growth Regulatory, and DNA Repair Genes
Bibliographic record
Abstract
GHK (glycyl-L-histidyl-L-lysine) is a human plasma copper-binding peptide that declines during aging. Numerous studies have established many biological actions of GHK: it improves tissue regeneration, possesses anti-oxidant and anti-inflammatory effects, increases cellular stemness; increases decorin, angiogenesis, and nerve outgrowth. In recent studies, GHK was found to switch gene expression from a diseased state to a healthier state for certain cancers and for chronic obstructive pulmonary disease. In studies of aggressive, metastatic human colon cancer, the Broad Institute's Connectivity Map indicated that GHK, out of 1,309 bioactive molecules studied, reversed the expression of 70% of 54 genes over-expressed genes. GHK also reactivates programmed cell death in several cultured human cancer lines. To determine GHK's potential as a cancer treatment, we analyzed the molecule's effect on the human gene expression using the Connectivity Map. GHK induces a 50% or greater change of expression in 31.2% of human genes. GHK increased gene expression in 6 of the 12 human caspase genes that activate programmed cell death. In 28 other genes, GHK altered the pattern of gene expression in a manner that would be expected to inhibit cancer growth. For DNA repair genes, there was a one-sided increase in the expression of such genes (47 UP, 5 DOWN). A previous study found that a copper peptide plus ascorbic acid inhibited Ehrlich ascites cancer in mice. Using this method with GHK-copper gave a strong suppression of Sarcoma 180 in mice. These results support the idea that GHK may help to impede or suppress cancer growth.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".