Parathyroid Hormone-Related Protein: Potential Therapeutic Target for Melanoma Invasion and Metastasis
Bibliographic record
Abstract
The role of PTHrP in the highly metastatic human melanoma disease is not known. This study investigates the mechanisms of action of this secreted factor through homozygous inactivation of the Pthrp gene in A375 human melanoma cells. In vitro, Pthrp-ablated cells (knockout [KO]-A375, -/-) showed decreased motility and anchorage-independent growth, rounder morphology, and a significant reduction in invasion capacity compared with nonablated A375 cells (wild-type [WT]-A375, +/+). PTHrP peptide 1-34 and conditioned medium from WT-A375 cells partially restored the invasive phenotype in KO-A375. Pthrp ablation substantially decreased actin polymerization, matrix metallopeptidase 9 expression and focal adhesion kinase phosphorylation. In vivo, green fluorescent protein-transduced ablated and nonablated A375 cells were injected intracardially or sc into nude mice to study proliferation and multiorgan metastasis. Dissemination of injected Pthrp-ablated cells to lung and liver was reduced by 85% and 50%, respectively, compared with nonablated controls (120 hours after injection). The number of metastatic lesions and the percentage of animals with metastasis were markedly lower in mice injected with Pthrp-ablated A375, and 45% of these animals survived a 7-week period compared with 15% of mice injected with nonablated WT-A375. When mice injected with WT-A375 were treated with our blocking anti-PTHrP monoclonal antibody raised against the first 33 amino acids of human PTHrP, tumor size was decreased by more than 80% over 4 weeks and survival was significantly improved over 8 months. This study provides direct evidence of the major role for PTHrP in melanoma invasion and metastasis and suggests that agents that suppress PTHrP may be beneficial against melanoma progression.
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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".