Laboratory parameters as predictors of prognosis in uterine cervical neoplasia

A novel prognostic biomarker in progression free survival for patients with cervical cancer, glucose to c-reactive protein ratio (GCR)

BACKGROUND

Cervical cancer is a tumor with high morbidity and mortality. The importance of inflammatory and metabolic parameters affecting progression-free survival (PFS) and overall survival (OS) has been investigated more intensively recently. We aimed to investigate the effect of glucose/c-reactive protein (CRP) ratio [GCR], which shows these two parameters together, on PFS in cervical cancer.

METHODS

We retrospectively included 90 patients with adenocarcinoma and squamous cell carcinoma of the cervix. The effects of clinical variables, inflammatory and glycemic parameters on PFS and OS were analyzed by Kaplan-Meier method. The data were compared with the healthy control group of 90 individuals using the independent t test. The effect of parameters on mortality was analyzed using ROC curves and cut off values were determined.

RESULTS

Glucose, CRP, CRP/lymphocyte ratio (CLR) and GCR were statistically significant in predicting mortality (p < 0.05). Disease stage, glucose, CRP, CLR and GCR were associated with overall survival. CRP, CLR and GCR were associated with progression-free survival (p < 0.05). In multivariate analysis, GCR was prognostic for PFS (p = 0.025). GCR was statistically significant while compared with the patient and healthy control group (p < 0.001).

CONCLUSION

In cervical cancer, GCR rate was found to be prognostic independent of stage. Higher GCR rate was associated with longer PFS duration.

The Prognostic Value of the Systemic Immune-Inflammation Index (SII) and Red Cell Distribution Width (RDW) in Patients with Cervical Cancer Treated Using Radiotherapy

INTRODUCTION

There is growing interest in the prognostic value of routinely performed pre-treatment blood test indices, such as the RDW or SII, with the latter combining the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). These indices were shown to be prognostic for survival in some malignancies. The purpose of this study was to evaluate the association between pre-treatment RDW and SII, and OS in patients treated with radiotherapy for primary localised cervical cancer.

MATERIAL AND METHODS

This retrospective analysis included patients treated with definitive CRT between 2011 and 2017 for histopathologically confirmed FIGO 2018 stage IB2-IVA cervical cancer. Statistical analysis was performed using the Kaplan-Meier method, two-sided log-rank tests, and Cox proportional hazards models, with the AIC serving as a prediction error estimator.

RESULTS

The study group included 249 patients with a median age of 57.2 years and a median follow-up of 75.8 months. The majority were diagnosed with squamous cell carcinoma (237; 95.2%) and had FIGO stage III (211; 84.7%). Approximately half of the patients (116; 46.4%) had regional lymph node metastases. Patients with a low RDW (≤13.4%) and low SII (≤986.01) had a significantly longer OS (p = 0.001 and p = 0.002). The RDW remained as an independent prognostic factor in the multivariable model (high vs. low; HR = 2.04; 95% CI: 1.32-3.16; p = 0.001). Including RDW in the model decreased the Akaike Information Criterion from 1028.25 to 1018.15.

CONCLUSIONS

The RDW is a cheap and widely available index that is simultaneously an independent prognostic factor for survival and could be used to improve pre-treatment prognosis assessments in patients with cervical cancer undergoing CRT. Available data encourage assessing the RDW as a prognostic factor in prospective trials to aid the identification of candidates for treatment escalation.

The Role of Neutrophil-Lymphocytes Ratio in the Prognosis of CIN2+ Recurrence after Excisional Treatment

OBJECTIVES

The main risk factor involved in CIN2+ recurrence after treatment is the HPV persistent infection. The dysregulation of the immune system permits only HR-HPVs to become persistent infections, to promote cancer development, and to increase the risk of recurrence after treatment. Therefore, there is a shift to a Th2-type cytokine pattern during the carcinogenesis pathway; for this reason, the neutrophil-lymphocytes ratio (NLR) could be a marker of this immunological change. The study aimed to analyse the predictive role of NLR in the recurrence of high-grade CIN (CIN2+) after excisional treatment in a real-world life setting of patients treated for CIN2+.

DESIGN

This study wascross-sectional study.

PARTICIPANTS/MATERIALS, SETTING, METHODS

We examined a retrospective database of 444 patients, who attended the colposcopy service of our department from 2011 to 2020 due to an abnormal screening Pap smear, and we compared the clinical characteristics to NLR performed at the time of diagnosis. All analysed patients were treated according to an established protocol (colposcopy every 6 months for the first 2 years and every year for over 3 years) and HPV-DNA test and cervical biopsy were performed at entry and the end of follow-up. All patients underwent a blood sample examination, including complete white blood cell counts and collecting neutrophil and lymphocyte values expressed as 103/mL.

RESULTS

The sensitivity (SE) and specificity (SP) of the NLR cut-off point of 1.34 for the diagnosis of CIN2+ recurrence were 0.76 and 0.67, respectively. We found that CIN2+ recurrences were significantly higher in patients with NLR <1.34 (3.7% vs. 0.6%, p = 0.033) and the 5-year recurrence-free survival was higher in patients with NLR ≥1.34 (97% vs. 93%, p = 0.030).

LIMITATIONS

Firstly, the retrospective analysis and low incidence of recurrence may limit the conclusions. Second, for the retrospective design of the study, we did not take into consideration the patient's comorbidities and habits (smoking) that may influence the NLR. On the other hand, the median duration of follow-up in our study was 26 months (IQR: 22-31), which fully reflects the incidence of recurrences.

CONCLUSIONS

It is well known that CIN2+ lesions are sustained by deregulation of the immune system caused by persistent HPV infection, which may lead to cervical cancer. Among the actors underlying dysregulation of immunity, lymphocytes are involved in the permission of persistent infection and for this reason, NRL could be a reliable and cost-effective biomarker in predicting the risk of recurrence, especially for high-grade cervical lesions.

The interplay between HPV, other Sexually Transmissible Infections and genital microbiome on cervical microenvironment (MicroCervixHPV study)

Background

The importance of Cervicovaginal Microbiota in protecting against infections (such as HPV) is already well established, namely through Lactobacillus spp., as well as the mechanism through which HPV leads to Cervical Neoplasia. However, it is not possible to classify HPV as a complete carcinogen. Thus, the importance of exploring Cervicovaginal dysbiosis with the intention of deciphering this interaction with HPV, takes on greater relevance. The main objectives of this study were: 1) Comparison of the MCV composition of women with or without HPV and women with ASCUS or LSIL; 2) Characterization of cytokines present in the vaginal microenvironment; 3) Evaluation of the blood count ratios as prognostic systemic inflammatory biomarkers; 4) Correlation between MCV, HPV serotypes and cytokines.

Methods

This was a retrospective, observational, multicenter, cross-sectional study. CVM analysis was performed by isolation RNA and sequencing on a NGS platform. Cytokine concentrations of CVM were obtained through Multiplex platform. Statistical analysis was performed in SPSS v 26.0. An α of 0.05 was considered statistically significant.

Results

Highlighting the core of the study, CVM types of CST I and CST IV were found to influence the emergence of cervical lesions. Neutrophil-to-Lymphocyte ratio was found to impact the prognosis of ASCUS. Within CVM, Lactobacillus prevent the growth of other CST IV species, while the latter express symbiotic relationships with each other and show affinity for specific HPV serotypes. At last, RANTES chemokine is significantly elevated in cervicovaginal infections.

Conclusion

The importance of using vaginal cytokine profiles and CVM is highlighted in the hypothesis of prevention of Cervical Neoplasia development, as well as in its use as a prognostic biomarker. Taken together, these insights are one step closer to personalized medicine.

Effects of peripheral blood neutrophil/lymphocyte ratio levels and their changes on the prognosis of patients with early cervical cancer

Although some studies have reported on the levels and clinical significance of peripheral blood neutrophil/lymphocyte ratio (NLR) in cervical cancer, the role of NLR levels and their changes preoperatively and postoperatively in early cervical cancer remain unclear. Our analyses explored the preoperative and postoperative NLR in 203 patients with stage I-IIA cervical cancer and evaluated the relationship between NLR changes, clinicopathological characteristics, and patient prognosis. The cut-off preoperative and postoperative NLR values were determined using receiver operating characteristic curve analysis. Preoperative NLR correlated with age, menopausal status, tumor size, and vascular infiltration, whereas postoperative NLR correlated with tumor differentiation. Patients with cervical cancer with a high preoperative NLR had significantly shorter overall survival (OS) and progression-free survival (PFS) than other patients, whereas PFS was significantly lower in the high postoperative NLR group. When comparing postoperative and preoperative NLR values, we observed a significantly higher rate of increase in postmenopausal patients and those without vascular infiltration than that among premenopausal patients and those with vascular infiltration. However, no clear difference in prognosis was observed between the groups with increased and decreased NLR. Therefore, a high peripheral blood NLR may predict a poor prognosis in patients with early cervical cancer. The effect of NLR changes on the prognosis of patients with cervical cancer requires further verification in multicenter studies.

Prediction of Postoperative Pathologic Risk Factors in Cervical Cancer Patients Treated with Radical Hysterectomy by Machine Learning

Pretherapeutic serological parameters play a predictive role in pathologic risk factors (PRF), which correlate with treatment and prognosis in cervical cancer (CC). However, the method of pre-operative prediction to PRF is limited and the clinical availability of machine learning methods remains unknown in CC. Overall, 1260 early-stage CC patients treated with radical hysterectomy (RH) were randomly split into training and test cohorts. Six machine learning classifiers, including Gradient Boosting Machine, Support Vector Machine with Gaussian kernel, Random Forest, Conditional Random Forest, Naive Bayes, and Elastic Net, were used to derive diagnostic information from nine clinical factors and 75 parameters readily available from pretreatment peripheral blood tests. The best results were obtained by RF in deep stromal infiltration prediction with an accuracy of 70.8% and AUC of 0.767. The highest accuracy and AUC for predicting lymphatic metastasis with Cforest were 64.3% and 0.620, respectively. The highest accuracy of prediction for lymphavascular space invasion with EN was 59.7% and the AUC was 0.628. Blood markers, including D-dimer and uric acid, were associated with PRF. Machine learning methods can provide critical diagnostic prediction on PRF in CC before surgical intervention. The use of predictive algorithms may facilitate individualized treatment options through diagnostic stratification.

Pretreatment Neutrophil-to-Lymphocyte Ratio and Lactate Dehydrogenase Predict the Prognosis of Metastatic Cervical Cancer Treated with Combination Immunotherapy

Background

Immune checkpoint inhibitors have considerably changed the treatment paradigm for metastatic cervical cancer; nonetheless, only a proportion of patients achieve a durable response. Therefore, exploring the predictive biomarkers of immunotherapy response is of crucial importance. This study aimed to evaluate the predictive and prognostic value of hematological parameters in patients with metastatic cervical cancer treated with combination immunotherapy.

Methods

Clinical data of patients with metastatic cervical cancer treated with combination immunotherapy between June 2019 and April 2021 were retrospectively analyzed. Receiver operating characteristic curve analysis was performed to determine the cut-off values of continuous variables, and binary logistic analysis was conducted to compare the treatment response between groups. The Kaplan–Meier method was applied for survival analysis. A Cox proportional hazards regression model was used to identify factors associated with progression-free survival (PFS).

Results

Seventy patients were included in this study. The cut-off values for the neutrophil-to-lymphocyte ratio (NLR) and lactate dehydrogenase (LDH) were 5.33 and 195.00 U/L, respectively. High pretreatment NLR (≥5.33) was correlated with decreased objective response rate (53.19% vs. 78.26%, p = 0.048). The survival analysis revealed that high pretreatment NLR (hazard ratio [HR] = 2.401, 95% confidence interval [CI]: 1.151–5.009, p = 0.020) and LDH level (HR = 1.987, 95% CI: 1.029–3.835, p = 0.041) were independent prognostic factors associated with short PFS.

Conclusions

Our study suggested that high pretreatment NLR and LDH values were independently correlated with poor survival in patients with metastatic cervical cancer treated with combination immunotherapy. Pretreatment NLR and LDH values could serve as potential biomarkers that may aid in the selection of patients who would benefit from combination immunotherapy. Further prospective studies investigating the prognostic value of NLR and LDH are warranted. Trial registration number: UHCT22008.

Absolute band neutrophils count is a predictor of overall survival in advanced uterine cervical cancer

PURPOSE

Neutrophils play a role during the oncogenic process, and their count can be a prognostic marker. The objective was to evaluate the association of band and segmented neutrophils with prognostic factors, overall survival, and disease-free survival in advanced uterine cervical cancer (IIB to IVB staging).

METHODS

This study evaluated 88 patients diagnosed with uterine cervical cancer staging IIB to IVB. The recorded data from medical records were age, parity, staging, histological type, absolute count of total neutrophils, band neutrophils and segmented neutrophils, disease-free survival, and overall survival. Receiver-operating characteristic (ROC) curve was used to obtain the area under the curve (AUC) and determine the best cut-off values for each parameter. Survival was verified by the Kaplan-Meier method, and multivariate analysis was performed by Cox regression. The level of significance was ≤ 0.05.

RESULTS

Regarding the total neutrophils, band, and segmented neutrophils count, a cut-off value of 6187/mm³, 273 mm³ and 6062/mm³ were found, respectively. Overall survival was shorter in patients with total neutrophils greater than 6187/mm³ (p = 0.012), band neutrophils greater than 273/mm³ (p = 0.001), and segmented neutrophils greater than 6062/mm³ (p = 0.013). After multivariate analysis considering the two types of neutrophils, only band neutrophils greater than 273/mm³ remained as an independent factor for shorter overall survival.

CONCLUSION

The absolute count of band neutrophils greater than 273/mm³ was a potential predictor of shorter overall survival in women with invasive cervical cancer. This count can be of great clinical use, in addition to being inexpensive, less invasive, and easy to perform.

CIN extension at colposcopy: relation to treatment and blood parameters

OBJECTIVE

To determine the colposcopic lesion size that predicts the presence of residual lesion in patients with cervical intraepithelial neoplasia (CIN) 2/3, to aid gynaecologists in selecting conservative management.

METHODS

Data from 51 patients with low- and high-grade squamous intraepithelial lesions were evaluated. Colposcopic images were captured and lesion areas were calculated. Polymerase chain reaction (PCR) for human papillomavirus was performed. Laboratory parameters were evaluated. Receiver operating characteristic (ROC) curves were used to obtain cut-off values for lesion area. The performance of PCR in the detection of high-grade CIN was assessed. A flowchart was created to compare the costs of related procedures in the Brazilian health system.

RESULTS

For CIN 2/3 treated with excisional surgery, the best cut-off value for lesion area below which no residual lesion was present was 21 019 pixels² (58.87 mm²). The cut-off value that predicted compromised surgical margins was 155 577.65 pixels² (435.75 mm²). Among all patients with CIN, lesion area correlated inversely with neutrophil/lymphocyte ratio (NLR; r = -0.446, P = 0.001), platelet/lymphocyte ratio (PLR; r = -0.438, P = 0.001), and absolute number of leukocytes (r = -0.351, P = 0.011). Conservative clinical management with semi-annual clinical follow-up was found to reduce direct costs to the Brazilian Health System by R $909.82 (US $169.42).

CONCLUSION

CIN reflects systemic alteration, leading to altered NLRs, PLRs, and absolute numbers of leukocytes. Patients with high-grade CIN and colposcopic lesion areas <21 019 pixels² could benefit from conservative management, which would result in cost savings for the Brazilian health system.

Pretreatment Neutrophil-to-Lymphocyte Ratio Combined with Platelet-to-Lymphocyte Ratio as a Predictor of Survival Outcomes after Definitive Concurrent Chemoradiotherapy for Cervical Cancer

The aim of the study was to evaluate pretreatment neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) as prognostic factors for predicting clinical outcomes after definitive concurrent chemoradiotherapy (CCRT) for cervical cancer. The cases were divided into two groups based on the values of NLR and PLR: High NLR-PLR (high value in both NLR and PLR) and Low NLR-PLR (low value in either NLR or PLR). The relationships between survival outcomes and the pretreatment NLR-PLR were investigated. Of the 148 patients enrolled in the study, 30 patients died during the median follow-up of 75 months. Based on receiver operating curves, NLR and PLR cut-off values for survival analysis were 2.34 and 148.89. The 10-year overall survival and disease-free survival rates for high NLR-PLR vs. low NLR-PLR were 63.6% vs. 86.2% (p = 0.001) and 63.3% vs. 77.5% (p = 0.026), respectively. Based on a multivariate analysis, independent predictors of overall survival were high NLR-PLR (hazard ratio [HR], 2.435; 95% confidence interval [CI], 1.106-5.361; p = 0.027) and stage (HR 2.659; 95% CI, 1.146-6.613; p = 0.024). Increases in both NLR and PLR are associated with poor survival. Elevation in both NLR and PLR before initiation of CCRT may be a useful biomarker for predicting clinical outcomes.