Curcuphenols facilitate the immune driven attenuation of metastatic tumour growth
Bibliographic record
Abstract
One of the primary obstacles in current cancer treatments lies in the extensive heterogeneity of genetic and epigenetic changes that occur in each arising tumour. However, an additional challenge persists, as certain types of cancer display shared immune deficiencies in the antigen processing machinery (APM). This includes the downregulation of human leukocyte antigen (HLA) class I molecules, which serve as peptide antigen receptors for T lymphocyte recognition that plays a crucial role in killing emerging tumours. Consequently, this contributes to immune escape in metastatic disease. Notably, current cell-based immunotherapies primarily focusing on T lymphocytes and the implementation of immune checkpoint inhibitor modalities have largely ignored the crucial task of reversing immune escape. This oversight may explain the limited success of these approaches becoming more effective cancer immunotherapies. Hence, there is a critical need to prioritize the discovery of new therapeutic candidates that can effectively address immune escape and synergize with evolving immunotherapy strategies. In this context, we identified curcuphenol in a cell-based screen from a library of marine extracts as a chemical entity that reverses the immune-escape phenotype of metastatic cancers. To advance these findings toward clinical efficacy, the present study describes the synthesis of analogues of naturally occurring curcuphenol with enhanced chemical properties and biological efficacy. Here we test the hypothesis that these curcuphenol analogues can evoke the power of the immune system to reduce the growth of metastatic disease in tumour bearing animals. Our findings indicate that these compounds effectively restore the expression of APM genes in metastatic tumours and inhibit the growth of highly invasive tumours in preclinical models, thereby counteracting the common immune evasion phenomenon observed in metastatic cancers. We conclude that cancer immunotherapies capable of boosting APM expression, hold great potential in maximizing the effectiveness of immune blockade inhibitors and eradicating invasive tumours.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".