Immune Modulation By Targeted Therapies Increases Oncolytic Viral Therapeutic Activity In Lung Cancer
Bibliographic record
Abstract
BACKGROUND Lung cancer is the leading cause of cancer mortality worldwide, and non-small cell lung cancer (NSCLC) accounts for 85% of its diagnoses [1]. Despite paradigm shifting targeted (personalized/precision) opportunities for a select group of patients, current treatments have failed to improve the five-year survival rate of only 16.3% [2]. Enhancing the host immune systems’ ability to combat NSCLC has been an unrealized goal for decades. OBJECTIVE Conventional radiotherapy and chemotherapy have a low therapeutic window, causing detrimental effects to both tumor and healthy cells alike. Furthermore, an increasing level of immunosuppressive regulatory cells in the tumor microenvironment and inadequate cytotoxic T-lymphocytes mediated anti-tumor activity characterize tumor progression, making the enhancement of the host immune system’s ability to combat NSCLC crucial [3]. With recent studies indicating sunitnib’s role in inhibiting immunosuppressive cells in the tumor microenvironment and reovirus’ oncolytic, immunostimulating properties in targeting tumor cells, this investigation aims to explore the potential of combining reovirus and sunitnib as a novel therapy for NSCLC [4,5]. METHODS Reovirus and sunitnib effective dose 50 (ED50) were determined for human NSCLC cell lines A549, H460, H1299, and H1975 by exposing each to varying concentrations of reovirus or sunitnib for 48 hours, and quantifying absorbance with WST-1 reagent at 450nm. % viability was used to generate dose response curves, and Calcusyn software was utilized to calculate ED50. Each cell line was then exposed to reovirus, sunitnib, or combination at ED50, ½ ED50, or ¼ ED50 for 48 hours. 20µM was used as ED50 for sunitnib resistant cell lines. Absorbance at 450nm upon WST-1 exposure was read, and combination index (CI) was calculated using Calcusyn. Each experiment contained at least 3 replicates and was repeated 3 times. CI 1 indicates antagonistic effects. RESULTS Reovirus and sunitnib ED50 values for A549, H460, H1299, and H1975 cells were 15.29±0.99MOI and 17.12±2.62µM, 238.02±41.29MOI and 11.27±1.52µM, 6.85±2.39MOI and resistant, and 19.80±20.35µM and not determinable, respectively. CI values for all cell lines were < 1at ED50. DISCUSSION AND CONCLUSIONS In the present in vitro study, we have demonstrated that sunitnib and reovirus combination therapy results in synergy in NSCLC cells. This promising investigation establishes the preclinical foundation for further investigations into reovirus and sunitnib as a novel combination therapy to treat NSCLC. Following ex vivo and in vivo investigations, it is anticipated that this study will culminate into a human clinical trial.
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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) | 0.002 | 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".