Published online Jul 24, 2026. doi: 10.5306/wjco.123640
Revised: June 28, 2026
Accepted: July 14, 2026
Published online: July 24, 2026
Processing time: 51 Days and 19.3 Hours
Peutz-Jeghers syndrome (PJS) features gastrointestinal hamartomatous polyps prone to intussusception, obstruction, bleeding, and malignancy. No effective predictors exist for polyp progression. Peripheral blood systemic immune-inflammation index (SII) and blood cell ratios (BCR) correlate with cancer prognosis, but their relationship with PJS polyp size (diameter)/burden (number) remains un
To investigate the correlations of SII and peripheral BCR with clinicopathological features in patients with PJS, and to evaluate their predictive value for gastro
Patients with PJS who met the inclusion and exclusion criteria and were treated at the Air Force Medical Center, Chinese People’s Liberation Army from January 1, 2020, to December 31, 2025, were enrolled in this study. Their clinicopathological data were retrospectively analyzed. Spearman correlation analysis was used to assess the correlations of gastrointestinal polyp size and number with SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR). The predictive per
A total of 636 PJS patients were enrolled in this study. Polyp burden varied across different gastrointestinal segments. SII, NLR, PLR, and MLR could predict the presence of small bowel polyps in PJS patients and were positively correlated with the number of small bowel polyps (r = 0.206, P < 0.001; r = 0.133, P = 0.001; r = 0.128, P = 0.001; r = 0.090, P= 0.024, respectively). MLR was identified as an independent risk factor for malignancy in PJS patients [odds ratio (OR) = 12.186, P = 0.010]. The cumulative risks of cancer in PJS patients at ages 40 years, 50 years, and 60 years were 23.6%, 50.8%, and 66.4%, respectively. The combined model of SII, NLR, PLR, and MLR yielded area under the curve values of 0.779 and 0.774 for predicting large polyps (diameter ≥ 25 mm) and multiple polyps (number ≥ 10), respectively. Multivariate logistic regression analysis showed that PLR (OR = 1.004, 95% confidence interval: 1.001-1.008, P = 0.011) was an independent risk factor for multiple small bowel polyps in PJS patients.
The combination of SII, NLR, PLR, and MLR can predict small bowel polyp burden in PJS patients, and holds promise as a non-invasive and cost-effective risk stratification biomarker to facilitate individualized surveillance and early risk intervention in PJS patients.
Core Tip: This study aimed to analyze the correlations of the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) with clinicopathological features in patients with Peutz-Jeghers syndrome (PJS). Based on correlation analysis and multivariable logistic regression analysis, we constructed and validated a predictive model incorporating SII, NLR, PLR, and MLR to estimate the size and number of small intestinal polyps in PJS patients. This model holds promise as a non-invasive and cost-effective risk stratification marker, thereby facilitating individualized monitoring and early risk intervention.