Combined Oxaliplatin with 5-Fluorouracil for Effective Chemotherapy Against Gastric Cancer in Animal Model
Bibliographic record
Abstract
Jiannan Ren,1,* Menglin Song,1,* Dongbing Ding,1,* Tianyun Lan,2 Yiquan Li,1 Rongpu Liang,1 Shengxin Huang,1 Guangchun Jiang,1 Jiarong You,1 Jianming Yang,1 Chi Chen,1 Weiyi Luan,3 Bekhzod Abdullaev,4 He Huang,1 Yang Zhao,1 Bo Wei1 1Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, People’s Republic of China; 2Central Laboratory, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, People’s Republic of China; 3Shaoguan University, Shaoguan, 512005, People’s Republic of China; 4Research Department of Biotechnology, New Uzbekistan University, Tashkent, Uzbekistan*These authors contributed equally to this workCorrespondence: Bo Wei, Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, People’s Republic of China, Tel +86 20 85252228, Email weibo3@mail.sysu.edu.cnIntroduction: Oxaliplatin (OXA) and 5-fluorouracil (5-Fu) are standard chemotherapy agents used to treat advanced gastric cancer (GC). However, their clinical efficacy is often limited by systemic toxicity, poor tumor selectivity, and suboptimal therapeutic outcomes when administered as monotherapy. These limitations underscore the need for innovative approaches to improve chemotherapy sensitivity and treatment efficacy.Methods: We developed a glucose-responsive, RGD peptide-functionalized biporous silica nanocarrier (R-BSN). This system integrates hollow glucose oxidase (hGOx)-modified micelles onto hollow mesoporous silica nanoparticles functionalized with RGD peptides, enabling targeted, sustained drug release and inducing a starvation effect in tumor cells.Results: The glucose-triggered biporous release strategy significantly prolongs the drug release profile, ensuring sustained chemotherapy delivery while simultaneously depleting intratumoral glucose to enhance therapeutic efficacy. This strategy not only increases chemotherapy potency but also exacerbates oxidative stress in tumor cells, leading to the induction of immunogenic cell death (ICD). Furthermore, R-BSN exhibits robust anti-tumor activity in both subcutaneous tumor models and peritoneal metastasis models, supporting its potential for multi-pathway tumor eradication.Conclusion: The glucose-triggered biporous silica nanocarrier offers a promising strategy to enhance chemotherapy outcomes in advanced gastric cancer, integrating sustained drug release, starvation therapy, and amplification of oxidative stress. This approach holds significant potential for clinical translation in gastric cancer treatment.Keywords: biporous silica nanocarrier, glucose-responsive, sequential sustained chemotherapy, starvation therapy, advanced gastric cancer
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".