Abstract C036: The Neurological and Immunological Interplay in Cancer Progression and Treatment Response
Bibliographic record
Abstract
Abstract There has been a multitude of research across the extensively and intricately studied fields of psychoimmunology and cancer neuroscience. Research from both ends suggest a multifaceted interplay between the nervous and immune system, and how they influence the progression of tumors and of course the response to therapy. The purpose of this theoretical research paper will explore the bidirectional communication between neurological pathways; The sympathetic nervous system, HPA axis, and neurotransmitter signaling, while also exploring the dynamic of immune regulation within the tumor micro-environment (TME). Focusing on recent evidence which suggests that neural inputs have the potential to shape immune cell phenotypes and cytokine activity, while fully acknowledging the overall impact of external factors such as chronic stress, and circadian disruption on tumor dynamics led to the proposal of a consolidated model which neutral stress responses modulate tumor progression and immune surveillance. The overall framework focuses highly on therapeutic implications, specifically targeting neutral-immune communication to augment immunotherapies, incorporating behavioral interventions to control tumor growth induced by severe stress, and the utilization of neuromodulators to control tumor immunity. The overall conclusion will outline future interests by focusing on the need for transitional studies, the ethicality of neuroimmune targeting and said ethical considerations which could come into fruition, and the assurance of neuroimmunological integration in personalized cancer care. Citation Format: Jordan A. Stewar. The Neurological and Immunological Interplay in Cancer Progression and Treatment Response [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: The Rise in Early-Onset Cancers—Knowledge Gaps and Research Opportunities; 2025 Dec 10-13; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(23_Suppl):Abstract nr C036.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".