Combined treatment with CDK4/6, CDK2, and CXCR1/2 inhibitors effectively halts the growth of BRAF wild-type melanoma tumors
Bibliographic record
Abstract
Introduction: Inhibitors of cyclin-dependent kinase 4 and 6 (CDK4/6) are approved for the treatment of locally advanced or metastatic breast cancer, but not for melanoma. Methods: In this study, we evaluated the effectiveness of the CDK4/6 inhibitor, palbociclib, the CDK2 inhibitor, PF-07104091, the dual CXCR1 and CXCR2 (CXCR1/2) antagonist, SX-682, and the combination of these inhibitors for effective treatment of melanoma in preclinical models. Results: 1014 melanoma tumors and in both models, SX-682 created a more anti-tumor immune microenvironment. The combination effect was additive in the B16F10 model, but not in the 1014 model. In the B16F10 model, the addition of the CDK2 inhibitor, PF-07104091, overcame B16F10 acquired resistance to CDK4/6 inhibitors by suppressing the induction of cyclin D1 and E1 expression by palbociclib. In the less responsive 1014 cells, cyclin D1 was reduced, but cyclin E1 was induced in response to PF-07104091. However, in both models, combined treatment with palbociclib and PF-07104091 markedly suppressed cyclin A2, cyclin D1, cyclin E1 and pRB-S807/S811. Combining CDK4/6 and CDK2 inhibitors with the CXCR1/2 antagonist, SX-682, halted B16F10 tumor growth by blocking tumor cell proliferation and increasing the anti-tumor immune response in the tumor microenvironment. Conclusions: The combination of all three inhibitors resulted in a tumor microenvironment characterized by increased IFNγ-producing CD4+ T cells, decreased CD4+FOXP3+ T regulatory cells (Tregs), and decreased IL-10-producing CD4+ T cells. This combination also decreased the percentage of CD8+ T cells that expressed PD-1 or TIM-3 and increased the ratio of MHCII+F4/80+ M1-like macrophages to CD206+F4/80+ M2-like macrophages. These data suggest that inhibiting CDK4/6 and CDK2, combined with antagonism of CXCR1/2, may be an effective treatment for BRAF wild-type melanoma tumors and NRAS mutant melanoma tumors that express Rb and are resistant to immune checkpoint inhibitors.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".