Prognostic Value of Inflammatory and Nutritional Markers for Patients With Early-Stage Poorly-to Moderately-Differentiated Cervical Squamous Cell Carcinoma

Sarcopenic Obesity in Cervical Carcinoma: A Strong and Independent Prognostic Factor beyond the Conventional Predictors (ESTHER Study-AFRAID Project)

Locally advanced cervical cancer represents a significant treatment challenge. Body composition parameters such as body mass index, sarcopenia, and sarcopenic obesity, defined by sarcopenia and BMI ≥ 30 kg/m2, have been identified as potential prognostic factors, yet their overall impact remains underexplored. This study assessed the relationship between these anthropometric parameters alongside clinical prognostic factors on the prognosis of 173 cervical cancer patients. Survival outcomes in terms of local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS) were analyzed using Kaplan regression methods-Meier and Cox. Older age, lower hemoglobin levels, higher FIGO (International Federation of Gynecology and Obstetrics) stages, and lower total radiation doses were significantly associated with worse outcomes. Univariate analysis showed a significant correlation between BMI and the outcomes examined, revealing that normal-weight patients show higher survival rates, which was not confirmed by the multivariate analysis. Sarcopenia was not correlated with any of the outcomes considered, while sarcopenic obesity was identified as an independent negative predictor of DFS (HR: 5.289, 95% CI: 1.298-21.546, p = 0.020) and OS (HR: 2.645, 95% CI: 1.275-5.488, p = 0.009). This study highlights the potential of sarcopenic obesity as an independent predictor of clinical outcomes. These results support their inclusion in prognostic assessments and treatment planning for patients with advanced cervical cancer.

The potential role of systemic inflammatory markers in predicting recurrence in early-stage cervical cancer

INTRODUCTION

The influence of systemic inflammatory markers on early-stage cervical cancer (ECC) patients is contradictory. No previous study analyzed whether these markers may be suggestive of recurrence. The aim of this study was to assess whether the inflammatory markers level of patients with recurrence during surveillance was different from those of patients without recurrence representing a risk factor for recurrence.

METHODS

Retrospective, single-center, observational study. Patients with 2009 FIGO EEC surgically treated between 2012 and 2019 were included. Baseline inflammatory markers were evaluated on the results of the complete blood count (CBC) and coagulation tests. Inflammatory markers of relapsed patients were evaluated on the last CBC performed before the relapse diagnosis. Inflammatory markers of patients with no recurrence were evaluated on the available CBC taken at the same median follow-up time as the one from relapsed patients.

RESULTS

174 patients were included. Baseline Systemic immune inflammation index (SII) > 663 and Systemic inflammation response index (SIRI) > 0.98 were associated with significant risk of recurrence. SII>663 and Neutrophil to lymphocyte ratio (NLR) > 2.41 were associated with increased risk of death. Significant changes between relapsed (n = 23) and non-relapsed (n = 151) patients in median values of SII (615 versus 490, p-value = 0.001), SIRI (0.74 versus 1.05, p-value = 0.005), NRL (2.95 versus 2.15, p-value = 0.0035), and MLR (0.26 versus 0.22 p-value = 0.020), showed that different levels of inflammatory markers could help identifying recurrent disease during surveillance.

CONCLUSION

Baseline SII>663 and SIRI>0.98 were associated with increased risk of recurrence. Higher median values of SII, SIRI, NLR and MLR in relapsed patients highlight their potential association with recurrence.

Prognostic and clinicopathological effect of the prognostic nutritional index (PNI) in patients with cervical cancer: a meta-analysis

BACKGROUND

Numerous studies have explored whether the prognostic nutritional index (PNI) can predict the prognosis of cervical cancer (CC); however, their findings remain controversial. This meta-analysis focused on evaluating the relationship between the PNI and the prognosis of patients with CC.

METHODS

Relevant articles were collected from specific databases up to March 16, 2023. The relationship between the PNI and survival outcomes in patients with CC was estimated using combined hazard ratios (HRs) and associated 95% confidence intervals (CIs). The association of the PNI with clinicopathological features in patients with CC was assessed by combining odds ratios (ORs) and associated 95% CIs.

RESULTS

Nine articles with 2508 cases were included in the meta-analysis. According to our pooled findings, a decreased PNI showed a significant association with worse overall survival (OS) (HR = 2.98, 95% CI = 2.22-3.99, p < .001) as well as progression-free survival (PFS) (HR = 2.43, 95% CI = 1.92-3.07, p < .001) in patients with CC. The subgroup analysis indicated that the results were reliable. Moreover, the decreased PNI showed a significant association with the presence of lymph node metastasis (LN metastasis, OR = 1.53, 95% CI = 1.04-82.24, p = .030) and maximum tumor size >4 cm (OR = 1.73, 95% CI = 1.21-2.46, p = .002). However, the PNI was not significantly associated with histology, differentiation, or FIGO stage.

CONCLUSION

In this study, a low PNI predicted dismal OS and PFS in patients with CC, who also tend to suffer from LN metastasis and larger tumor size. PNI is a promising biomarker for predicting the prognosis of patients with CC in clinical practice.