ArticleFrontiers in oncology2025
Novel immune-nutritional prognostic ratio predicts long-term survival in stage I-III colorectal cancer.
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Predictors of Metastatic Lymph Node Burden in Colorectal Cancer: A Negative Binomial Regression Analysis.Life (Basel, Switzerland) · 2026Article
- Peripheral Blood Neutrophil-to-Lymphocyte Ratio Combined With Fibrinogen-to-Albumin Ratio Assists in Identifying Systemic Lupus Erythematosus Activity and Lupus Nephritis.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026Article
- Undifferentiated pelvic sarcoma 5 years post-radiochemotherapy for rectal adenocarcinoma: A case report.Oncology letters · 2026Article
- Current opinions on CEA in the diagnosis and prognosis of colorectal cancer.Translational oncology · 2026Review
- Retrospective analysis of the occurrence pattern of complications and prognostic influencing factors in elderly patients with squamous cell lung cancer after radical surgery.World journal of surgical oncology · 2026Article
- Association of Preoperative Prognostic Nutritional Index on Long-Term Outcomes and Postoperative Complications of Stage I-III Colorectal Cancer.Cancer medicine · 2026Article
- Article
- Study on the diagnostic value of lipid and systemic inflammatory markers in colorectal adenomatous polyps and the construction of a diagnostic model.BMC gastroenterology · 2026Article
- Construction of a nomogram for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer based on circulating tumor cells and fibrinogen to albumin ratio.Discover oncology · 2026Article
- The predictive value of systemic inflammation response index and albumin-to-globulin ratio for prognosis in non-small cell lung cancer.Scientific reports · 2026Article
- Development and Validation of a Predictive Nomogram for Diagnosing Colorectal Cancer Based on Immune-Nutritional Score.Cancer medicine · 2026Article
- Risk stratification in colorectal cancer: A retrospective cohort study of nomograms based on inflammatory and immunohematological biomarkers.The Journal of international medical research · 2026Article
- A nomogram integrating p53 and Ki-67 expression for predicting recurrence risk in postoperative early gastric cancer.World journal of surgical oncology · 2026Article
- Association between ranitidine use and thyroid cancer based on FAERS and VigiAccess databases.Discover oncology · 2026Article
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- Article
- Cancer-associated fibroblasts and immune escape-related genes serve as biological markers for the prognosis of colorectal cancer.Hereditas · 2026Article
- Prognostic value of pre-treatment serum CA19-9 and lymphocyte-to-monocyte ratio in HR+/HER2- breast cancer: a retrospective cohort study.BMC cancer · 2026Article
- A nomogram for predicting the disease-free survival of patients with pancreatic ductal adenocarcinoma.BMC medical imaging · 2026Article
- Prognostic Impact and Postoperative Management Following Poor Pathological Response to Perioperative FLOT in Resectable Gastric and GEJ Adenocarcinoma: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2026Review
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12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Colorectal cancer (CRC) is a common and highly lethal malignancy worldwide. Even after curative resection, patients with stage I-III disease remain at substantial risk of recurrence and mortality. The Prognostic Immune and Nutritional Index (PINI) and lymphocyte-to-monocyte ratio (LMR) have been validated as prognostic markers in cancer, yet their individual predictive performance remains limited. We developed a novel Immune-Nutritional Prognostic Ratio (INPR) integrating PINI and LMR to provide a more comprehensive assessment of immune, nutritional, and inflammatory status. This study further evaluated its value in predicting 1-, 3-, and 5-year survival in stage I-III CRC. Methods: We retrospectively analyzed data from 556 colorectal cancer patients at two hospitals, with one serving as the validation cohort. Receiver operating characteristic (ROC) curves were used to determine optimal cutoff values for PINI and LMR, and the area under the curve (AUC) was applied to assess predictive performance. KKaplan-Meier analysis showed that lower PINI and LMR were associated with shorter overall survival (OS). The INPR, integrating both markers, demonstrated superior accuracy. Variables linked to OS were selected using the Boruta algorithm and multivariable Cox regression, and a nomogram model was developed and validated internally and externally. Results: The Youden index identified optimal cutoff values of 3.50 for PINI and 2.65 for LMR, with low levels independently predicting shorter OS. The INPR, integrating both, stratified patients into low-, intermediate-, and high-risk groups, with 5-year OS rates of 93.30%, 59.35%, and 28.57% in the training cohort (p<0.001). INPR outperformed either marker alone, showing higher AUC. A nomogram incorporating variables selected by the Boruta algorithm and multivariable Cox regression demonstrated stable and superior prognostic performance in both internal and external validation. Conclusion: Our findings demonstrate that INPR is a simple, accessible, and effective prognostic tool for postoperative risk stratification in stage I-III CRC patients, providing valuable guidance for optimizing individualized treatment strategies.
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