Regulating the Tumor Microbiome through Near-Infrared-III Light-Excited Photosynthesis
Bibliographic record
Abstract
Tumor microbiomes are increasingly associated with the growth and metastasis of tumors. Exploring the regulation of the tumor microbiome through therapeutics is an area of interest in cancer therapy. In this study, the authors have investigated a biohybrid with 1550 nm light-excited photosynthetic ability to regulate the tumor microbiome. This system utilizes Er-based core–shell upconversion nanoparticles to arm microalga Chlorella, enabling the rapid evolution of Chlorella to perform oxygenic photosynthesis under 1550 nm light excitation. This biohybrid may alleviate hypoxia within the tumor microenvironment and induce significant changes in the tumor microbiome, ultimately resulting in marked inhibition of tumor growth. Benefiting from the strong tissue penetration ability of 1550 nm light, this biohybrid also exhibits clear inhibition of deep-seated tumors. The therapeutic efficacy of microbiome regulation is directly mediated by immune activation, converting “cold” tumors into “hot” tumors, which also leads to a long-lasting immune memory effect.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".