Trial reportTechnology in cancer research & treatment2019
Peripheral Venous Blood Platelet-to-Lymphocyte Ratio (PLR) for Predicting the Survival of Patients With Gastric Cancer Treated With SOX or XELOX Regimen Neoadjuvant Chemotherapy.
Trial report in Technology in cancer research & treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prognostic value of pretreatment neutrophil-to-lymphocyte ratio in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Correlation between neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio with prognosis in gastric cancer patients undergoing neoadjuvant chemotherapy: a meta-analysis.BMC gastroenterology · 2025Pooled it
- Article
- Inflammation-nutrition biomarker model for survival prediction in lung cancer patients with concurrent tuberculosis.Frontiers in molecular biosciences · 2025Article
- Analysis of the safety and efficacy of laparoscopic gastrojejunostomy following neoadjuvant chemotherapy for gastric pyloric obstruction.Frontiers in oncology · 2025Article
- Using Normalized Carcinoembryonic Antigen and Carbohydrate Antigen 19 to Predict and Monitor the Efficacy of Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer.International journal of molecular sciences · 2023Article
- Systemic Immune-Inflammation Index and Mortality in Testicular Cancer: A Systematic Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2023Review
- Effects of different radical distal gastrectomy on postoperative inflammatory response and nutritional status in patients with gastric cancer.Frontiers in surgery · 2023Article
- Prediction of bone metastasis risk of early breast cancer based on nomogram of clinicopathological characteristics and hematological parameters.Frontiers in oncology · 2023Article
- A New Scoring System to Predict Lymph Node Metastasis and Prognosis After Surgery for Gastric Cancer.Frontiers in oncology · 2022Article
- A Nomogram Based on Hematological Parameters and Clinicopathological Characteristics for Predicting Local-Regional Recurrence After Breast-Conserving Therapy.Frontiers in oncology · 2022Article
- Prediction of Peritoneal Cancer Index and Prognosis in Peritoneal Metastasis of Gastric Cancer Using NLR-PLR-DDI Score: A Retrospective Study.Cancer management and research · 2022Article
- Superiority of Laparoscopic Gastrojejunostomy Combined With Multimodality Therapy for Gastric Outlet Obstruction Caused by Advanced Gastric Cancer.Frontiers in oncology · 2022Article
- Population Pharmacokinetic Model-Based Evaluation of Intact Oxaliplatin in Rats with Acute Kidney Injury.Cancers · 2021Article
- Review
- Article
- Prognosis prediction model for a special entity of gastric cancer, linitis plastica.Journal of gastrointestinal oncology · 2021Article
- Biomarker evaluation in radically resectable locally advanced gastric cancer treated with neoadjuvant chemotherapy: an evidence reappraisal.Therapeutic advances in medical oncology · 2021Review
- Impact of diabetes on prognosis of gastric cancer patients performed with gastrectomy.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2020Article
- Clinical significance of peripheral blood-derived inflammation markers in advanced gastric cancer after radical resection.BMC surgery · 2020Article
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Authors and funding
8 authors.
Funding
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Abstract
backgroundInflammation plays an important role in tumor progression. Predicting survival is remarkably difficult in patients with gastric cancer receiving neoadjuvant chemotherapy. The aim of the present study is to investigate the potential prognostic significance of the platelet-to-lymphocyte ratio in patients with gastric cancer receiving S-1 plus oxaliplatin or oxaliplatin and capecitabine regimen.
methodsNinety-one patients with gastric cancer treated with neoadjuvant chemotherapy were enrolled in this study and then underwent operation. The optimal cutoff value was calculated using receiver-operating characteristic curve analyses. The optimal cutoff value of platelet-to-lymphocyte ratio was divided into low platelet-to-lymphocyte ratio <162 group and high platelet-to-lymphocyte ratio ≥162 group. Kaplan-Meier method and log-rank test were used to analyze the survival curves. The independent prognostic factors and prognostic value of the platelet-to-lymphocyte ratio were assessed by univariate and multivariate Cox proportional hazards regression model. The toxicity was evaluated according to the National Cancer Institute Common Toxicity Criteria.
resultsKaplan-Meier analyses revealed that patients with low platelet-to-lymphocyte ratio correlated remarkably with better mean disease-free survival and mean overall survival than those with high platelet-to-lymphocyte ratio (mean disease-free survival 47.33 and 33.62 months, respectively; mean overall survival 51.21 and 36.80 months, respectively). The results demonstrated that platelet-to-lymphocyte ratio had prognostic significance using the cutoff value of 162 on disease-free survival and overall survival, and the mean disease-free survival and overall survival time for patients with low platelet-to-lymphocyte ratio were longer than those with high platelet-to-lymphocyte ratio. Meanwhile, patients with gastric cancer who had lower platelet-to-lymphocyte ratio had longer 1-, 3-, and 5-year rates of disease-free survival and overall survival. Moreover, patients with low platelet-to-lymphocyte ratio had longer mean disease-free survival and overall survival than those with high platelet-to-lymphocyte ratio in receiving S-1 plus oxaliplatin or oxaliplatin and capecitabine regimen.
conclusionsThe preoperative platelet-to-lymphocyte ratio may be a promising and convenient prognostic biomarker for patients gastric cancer receiving S-1 plus oxaliplatin or oxaliplatin and capecitabine regimen neoadjuvant chemotherapy. It may be useful to help the doctors identify the high-risk patients for taking efficient treatment strategy decisions.
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