The role of tumor characteristics and biomarkers in predicting long-term survival rates of rectal cancer patients
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View abstract on PubMed
Summary
This summary is machine-generated.Systemic inflammatory biomarkers like NLR and SII predict long-term survival in rectal cancer (RC) patients. Elevated ratios indicate poor prognosis, while higher hemoglobin and albumin suggest better outcomes, aiding personalized treatment.
Area Of Science
- Oncology
- Biomarkers
- Surgical Oncology
Background
- Rectal cancer (RC) presents significant survival challenges, with postoperative recurrence remaining high.
- Advanced-stage RC often has poor prognoses despite treatment advancements.
- Identifying reliable prognostic indicators is crucial for personalized patient management.
Purpose Of The Study
- To evaluate the prognostic value of systemic inflammatory biomarkers in predicting long-term survival for rectal cancer patients.
- To assess the predictive accuracy of various inflammation-based scores and ratios.
Main Methods
- Retrospective cohort study of 637 rectal cancer patients undergoing low anterior resection.
- Analysis of hemoglobin, albumin, lymphocyte, platelet counts, and derived inflammatory markers (e.g., NLR, SII).
- Kaplan-Meier survival analysis, Cox regression, and ROC analysis for prognostic significance and optimal cutoffs.
Main Results
- Elevated C-reactive protein/albumin ratio, Neutrophil-to-Lymphocyte Ratio (NLR), and Systemic Immune-Inflammation Index (SII) correlated with poor rectal cancer prognosis.
- Higher hemoglobin, albumin, lymphocyte, platelet counts, and Prognostic Nutritional Index (PNI) were associated with improved survival.
- Advanced tumor stage (T3/T4) and lymph node metastasis significantly reduced overall survival (OS).
Conclusions
- Inflammation-based biomarkers offer valuable prognostic insights for rectal cancer patients.
- These biomarkers can aid in personalized treatment planning and optimizing follow-up strategies.
- Multicenter studies are recommended to validate these findings and enhance clinical utility.
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