Diagnostic performance of systemic inflammatory and nutritional indices and their association with clinicopathological features in endometrial cancer: a retrospective study

BACKGROUND: Systemic inflammatory and nutritional indices derived from routine blood tests have been widely investigated as prognostic markers; however, their diagnostic value in differentiating benign endometrial disease from endometrial cancer (EC) remains insufficiently defined. This study aimed to evaluate the diagnostic performance of inflammatory and nutritional indices and to explore their associations with clinicopathological features in EC. METHODS: This retrospective observational study included 270 patients who underwent surgical evaluation for endometrial pathology. The cohort comprised 135 patients with histopathologically confirmed endometrial cancer and 135 patients with benign endometrial conditions. Preoperative inflammatory indices, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and prognostic nutritional index (PNI), were calculated. Clinicopathological characteristics and immunohistochemical findings were recorded. Multivariable logistic regression analysis was performed to identify independent predictors of malignancy. RESULTS: All inflammatory indices and PNI were significantly higher in the malignant group (all p < 0.001). In multivariable analysis, age, body mass index, haemoglobin level, SII (OR = 1.004, 95% CI 1.001-1.007; p = 0.018), and PNI (OR = 1.380, 95% CI 1.228-1.550; p < 0.001) emerged as independent predictors of malignancy. Receiver operating characteristic (ROC) analysis showed that PNI had limited discriminative ability (area under the curve [AUC] = 0.620, 95% CI 0.554-0.687), with a cut-off value of 52.0 (sensitivity 69.6%, specificity 50.4%). Within the malignant cohort, lower PNI values were significantly associated with adverse clinicopathological features, including deep myometrial invasion, cervical stromal invasion, lymph node metastasis, higher tumour grade, serous histology, and abnormal p53 expression. CONCLUSIONS: Systemic inflammatory and nutritional indices may provide complementary information in the evaluation of endometrial pathology. While SII appears to be associated with malignancy risk, PNI primarily reflects tumour aggressiveness rather than diagnostic discrimination. These readily available biomarkers may support preoperative risk stratification, particularly in patients with inconclusive imaging or biopsy results, where additional risk stratification may help guide the urgency or extent of surgical planning; however, further prospective studies are required to confirm their clinical utility.

Authors

Institutions

Publication Details

Journal
BMC Women s Health
Published
2026-05-23
DOI
https://doi.org/10.1186/s12905-026-04564-2
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic performance of systemic inflammatory and nutritional indices and their association with clinicopathological features in endometrial cancer: a retrospective study

Mehmet Çopuroğlu, Şule Gül Aydın, Hasan Can Toyganözü, Şahin Yüksek et al.
BMC Women s Health
Inflammatory Biomarkers in Disease Prognosis
article

Diagnostic performance of systemic inflammatory and nutritional indices and their association with clinicopathological features in endometrial cancer: a retrospective study

Mehmet Çopuroğlu, Şule Gül Aydın, Hasan Can Toyganözü, Şahin Yüksek, Mehmet Güzel
article en

Abstract

BACKGROUND: Systemic inflammatory and nutritional indices derived from routine blood tests have been widely investigated as prognostic markers; however, their diagnostic value in differentiating benign endometrial disease from endometrial cancer (EC) remains insufficiently defined. This study aimed to evaluate the diagnostic performance of inflammatory and nutritional indices and to explore their associations with clinicopathological features in EC. METHODS: This retrospective observational study included 270 patients who underwent surgical evaluation for endometrial pathology. The cohort comprised 135 patients with histopathologically confirmed endometrial cancer and 135 patients with benign endometrial conditions. Preoperative inflammatory indices, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and prognostic nutritional index (PNI), were calculated. Clinicopathological characteristics and immunohistochemical findings were recorded. Multivariable logistic regression analysis was performed to identify independent predictors of malignancy. RESULTS: All inflammatory indices and PNI were significantly higher in the malignant group (all p < 0.001). In multivariable analysis, age, body mass index, haemoglobin level, SII (OR = 1.004, 95% CI 1.001-1.007; p = 0.018), and PNI (OR = 1.380, 95% CI 1.228-1.550; p < 0.001) emerged as independent predictors of malignancy. Receiver operating characteristic (ROC) analysis showed that PNI had limited discriminative ability (area under the curve [AUC] = 0.620, 95% CI 0.554-0.687), with a cut-off value of 52.0 (sensitivity 69.6%, specificity 50.4%). Within the malignant cohort, lower PNI values were significantly associated with adverse clinicopathological features, including deep myometrial invasion, cervical stromal invasion, lymph node metastasis, higher tumour grade, serous histology, and abnormal p53 expression. CONCLUSIONS: Systemic inflammatory and nutritional indices may provide complementary information in the evaluation of endometrial pathology. While SII appears to be associated with malignancy risk, PNI primarily reflects tumour aggressiveness rather than diagnostic discrimination. These readily available biomarkers may support preoperative risk stratification, particularly in patients with inconclusive imaging or biopsy results, where additional risk stratification may help guide the urgency or extent of surgical planning; however, further prospective studies are required to confirm their clinical utility.

BMC Women s Health
Kayseri Eğitim ve Araştırma Hastanesi (TR), Malatya Devlet Hastanesi (TR), Mersin Üniversitesi (TR)
Reduced inequalities
Openalex Percentile: Top 6%
Inflammatory Biomarkers in Disease Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.