Pretreatment C-Reactive Protein/Albumin Ratio is Associated With Poor Survival in Patients With 2018 FIGO Stage IB-IIA HPV-Positive Cervical Cancer

Abstract

Objectives: The present study aimed to identify the predictive value of inflammatory indexes stratified according to human papillomavirus (HPV) infection status in women with FIGO 2018 stage IB∼IIA cervical cancer. We also explored the influences of HPV infection status on the survival of cervical cancer patients.Methods: We collected data for 583 women with stage IB∼IIA cervical cancer in Sun Yat-sen University Cancer Center between 2009 and 2017. The t-test, chi-squared (χ2) test and Fisher’s exact test were applied to compare the differences of inflammatory indexes and clinicopathological features between HPV-positive and HPV-negative groups. Univariate and multivariate analyses were used to identify clinicopathological factors that were associated with the prognosis of cervical cancer patients.Results: There were no differences in overall survival (OS) and progression-free survival (PFS) between HPV-positive and HPV-negative groups. In HPV-positive group, the maximum tumor size, neoadjuvant chemotherapy and the body mass index (BMI) correlated significantly with C-reactive protein/albumin ratio (CAR). The maximum tumor size and the prognostic nutritional index (PNI) correlated significantly with the platelet-lymphocyte ratio (PLR). The maximum tumor size, neoadjuvant chemotherapy and PLR correlated significantly with PNI. Univariate and multivariate analyses showed that the depth of tumor invasion (HR: 3.651, 95% CI: 1.464–9.103, p = 0.005; HR: 2.478, 95% CI: 1.218–5.043, p = 0.012) and CAR (HR: 5.201, 95% CI: 2.080–13.004, p < 0.0001; HR: 2.769, 95% CI: 1.406–5.455, p = 0.003) were independent predictors of poor OS and PFS. PNI was an independent protective factor of OS (HR: 0.341, 95% CI: 0.156–0.745, p = 0.007). PLR was an independent factor of PFS (HR: 1.991, 95% CI: 1.018–3.894, p = 0.044). In HPV-negative group, BMI correlated significantly with CAR. Only depth of invasion (HR: 9.192, 95% CI: 1.016–83.173, p = 0.048) was the independent predictor of poor OS, and no inflammation indexes were independent predictors of prognosis.Conclusion: In patients with HPV-positive cervical cancer, depth of invasion, PNI and CAR are independent factors of OS, and depth of invasion, PLR and CAR are independent factors for PFS. For patients with HPV-negative disease, no inflammation indexes had predictive value for prognosis. The predictive value of inflammation indexes on prognosis is more significant in patients with HPV-positive cervical cancer. Stratification of HPV infection status promotes a more precise clinical application of inflammation indexes, thus improving their accuracy and feasibility.

Age-Dependent Hematologic Toxicity Profiles and Prognostic Serologic Markers in Postoperative Radiochemotherapy Treatment for Uterine Cervical Cancer

“…Regarding locally advanced cervical cancer, preoperative and pre-/post-radiotherapy LDH and CRP levels have been found to be independent markers for OS and progression-free survival in the definitive and neoadjuvant setting and with a higher predictive value in human papillomavirus-positive cervical cancer. 40 – 43 However, so far prior studies have not focused on the evidence for a reliable transferability of this to the adjuvant situation as presented in our cohort. The OS in our study was considerably inferior predicted by pre- and post-RCHT CRP levels, post-RCHT LDH levels, and pre-RCHT values of the nutritional index.…”

Tislelizumab for cervical cancer: A retrospective study and analysis of correlative blood biomarkers

“…CAR and the modified Glasgow and prognostic score, which comprises CRP and albumin concentrations, have been shown to have prognostic value for several cancers ( 49 ). Previously, we reported that the serum CAR was associated with poor survival in patients with stage IB–IIA human-papilloma-virus-positive CC ( 50 ). Additionally, CAR was shown to reflect the tumor microenvironment induced by the inflammatory response.…”

Prognostic and clinicopathological role of pretreatment systemic immune-inflammation index in patients with oral squamous cell carcinoma: a meta-analysis

“…Many blood-based indexes that reflect inflammatory statuses have been identified as prognostic biomarkers in different cancer types. These indexes include neutrophil-to-lymphocyte ratio (NLR) ( 8 ), platelet-to-lymphocyte ratio (PLR) ( 9 ), C-reactive protein/albumin ratio (CAR) ( 10 ), lymphocyte-monocyte ratio (LMR) ( 11 ) and lymphocyte-to-C-reactive protein ratio (LCR) ( 12 ). Systemic immune-inflammation index (SII), a hematological parameter, is calculated by the following formula: SII = (platelet number × neutrophil number)/lymphocyte number.…”