Abstract A012: Cancer acquires therapy resistance by converting immune infiltration to exclusion through NK cell-macrophage interactions
Bibliographic record
Abstract
Abstract The dynamic evolution of the immune tumor microenvironment (TME) during targeted therapy is a critical yet poorly understood determinant of treatment response and resistance. While most studies compare immune states before and after treatment, temporal immune changes during therapy remain largely uncharacterized, limiting development of effective combination strategies. Here, we investigated immune dynamics throughout targeted therapy using mouse melanoma models that recapitulate human therapeutic responses. Single-cell RNA sequencing (scRNA-seq) identified an inflection point where the inflamed TME during tumor regression, characterized by robust NK cell infiltration, transitions to an immune-excluded state upon onset of drug-tolerant residual disease. We uncovered a unique macrophage subset that orchestrates NK cell recruitment during regression. Depletion of these macrophages using LysM-cre;iDTR mice significantly reduced NK cell infiltration. Extending these findings to human cancer, longitudinal scRNA-seq analysis of melanoma and lung cancer patient samples revealed dynamic NK cell infiltration during targeted therapy, establishing a direct link between innate immune remodeling and treatment outcome. Unlike prior prognostic studies assessing immune states at single time points, our results provide mechanistic evidence of a temporal relationship between NK cell infiltration and therapeutic efficacy. Together, these findings position immune evolution as a driver of acquired resistance and identify macrophage–NK cell crosstalk as a therapeutically actionable axis to overcome immune exclusion and improve targeted therapy. Citation Format: Chia-Hsin Hsu, Andrew C. White. Cancer acquires therapy resistance by converting immune infiltration to exclusion through NK cell-macrophage interactions [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Mechanisms of Cancer Immunity and Cancer-related Autoimmunity; 2025 Sep 24-27; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(9 Suppl):Abstract nr A012.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".