Abstract PR06: Hallmarks of CD8 T cell dysfunction are established within hours of tumor antigen encounter prior to cell division
Bibliographic record
Abstract
Abstract Tumor-specific CD8 T cells (TST) found in patients with cancer are dysfunctional and unable to halt cancer progressions. TST dysfunction, also known as T cell exhaustion, is thought to be driven by chronic T cell receptor/antigen stimulation and immunosuppressive factors within the tumor microenvironment. However, we know little about the interplay between CD8 T cell function, cell division, and epigenetic remodeling during the first hours following activation and tumor encounter. Here, we assessed TST differentiation, cell division, chromatin accessibility, and transcription in two clinically-relevant cancer mouse models (autochthonous liver cancer and metastatic melanoma), and we compared TST fate trajectories to those of CD8 T cells differentiating during acute infection. Surprisingly, despite robust activation and proliferation, TST had near complete effector function impairment even prior to undergoing cell division, and had acquired hallmark chromatin accessibility features previously observed in late dysfunctional/exhausted T cells. Moreover, continued tumor/antigen exposure drove progressive epigenetic remodeling, “imprinting” the dysfunctional state. Our study defines for the first time the regulation and kinetics underlying T cell fate choice prior to cell division in the context of tumors versus infection. Citation Format: Mary Philip, Michael W. Rudloff, Paul Zumbo, Doron Betel, Natalie R. Favret, Jessica J. Roetman, Carlos R. Detres Roman, Megan M. Erwin, Kristen A. Murray, Sriya T. Jonnakuti, Friederike Dundar. Hallmarks of CD8 T cell dysfunction are established within hours of tumor antigen encounter prior to cell division [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr PR06.
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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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".