ADAM protease inhibition overcomes resistance of breast cancer stem-like cells to γδ T cell immunotherapy
Bibliographic record
Abstract
Gamma delta T cells (γδTc) have tremendous anti-tumoral activity, thus γδTc immunotherapy is currently under development for various malignancies. We targeted breast cancer stem-like cells (BCSC), a rare cell population responsible for patient mortality. BCSC were mostly susceptible to γδTc immunotherapy, yet some escaped. The BCSC secretome rendered γδTc hypo-responsive, and resistant BCSC expressed more PD-L1 and anti-apoptotic protein MCL-1 than non-stem-like cells (NSC). BCSC resistance was partially overcome by dMCL1-2, an MCL-1 degrader, or more fully by blocking PD-1 on γδTc. Increased MICA shedding was prevented by the ADAM inhibitor GW280264X, rendering BCSC as sensitive to γδTc cytotoxicity as NSC. Our data show promising potential for γδTc immunotherapy against BCSC while unraveling immune evasion mechanisms exploited by BCSC, which likely also enable their resistance to cytotoxic T and NK cells. Overcoming this resistance, as we have done here, will improve cancer immunotherapy, leading to better cancer patient outcomes.
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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 | 0.001 |
| 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".