Evaluation of Neutrophil-Lymphocyte Ratio as a Prognostic Factor in Cervical Intraepithelial Neoplasia Recurrence

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.

Defective 3-parameter Gompertz model with frailty term for estimating cure fraction in survival data

In several survival data, a proportion of units is not susceptible to the event of interest, even if, accompanied by a sufficiently large time, which is so-called immune or cured. In this paper, the defective Gamma 3-parameter Gompertz model with a frailty term is proposed for estimating the cure fraction. This model does not require adding extra parameters for modeling the cure rate, and it accommodates unimodal hazard shapes as well as monotone hazards. A simulation study has been carried out to assess the performance of the maximum likelihood estimators. The model was applied to two real data sets.

Platelet-to-Lymphocyte Ratio (PLR) as the Prognostic Factor for Recurrence/Residual Disease in HSIL Patients After LEEP

Purpose

The platelet-to-lymphocyte ratio (PLR) is considered correlated with cancer prognosis including cervical cancer, in addition to high-risk papillomavirus (HR-HPV) infection, of which the predictive value in prognosis of high-grade squamous intraepithelial lesions (HSILs) remains unknown. Here, the prognostic predictive value of PLR in HSIL after loop electrosurgical excision procedure (LEEP) was evaluated.

Patients and Methods

This study included 335 nonpregnant participants with histopathologically confirmed HSIL and 3- and 5-year follow-ups from the Fujian Cervical Lesions Screening Cohorts (FCLSCs) between September 2016 and September 2018. PLR and other variables were evaluated to identify the factors related to the recurrence/residual cervical intraepithelial neoplasia (CIN)-free survival (RFS), namely, the time from LEEP at baseline to first detection of recurrence/residual CIN or end of follow-up, by logistic and Cox regression.

Results

In the Kaplan‒Meier analysis, HR-HPV infection (p=0.049/0.012), higher PLR (p=0.031/0.038), and gland invasion (p=0.047) had a higher risk for recurrence/residual CIN at the 3-/5-year follow-up. The univariate logistic and Cox regression analyses showed significant differences and a higher cumulative risk in patients with HR-HPV infection (OR=3.917, p=0.026; HR=3.996, p=0.020) and higher PLR (OR=2.295, p=0.041; HR=2.161, p=0.030) at the 5-year follow-up. The findings by multivariate Cox regression analysis were similar, indicating a poor prognosis for patients with HR-HPV infection (HR=3.901, p=0.023) and higher PLR (HR=2.082, p=0.038) at the 5-year follow-up. The calibration plot showed a better model fit for RFS at the 3-year follow-up.

Conclusion

Preoperative PLR level and HR-HPV infection could be available markers for predicting recurrence/residual disease of HSIL after LEEP. Clinically, combining PLR with HR-HPV tests may provide novel evaluation method and reference for management in post-treatment patients with cervical precancerous lesions.

Prognostic Significance of Neutrophil/Lymphocytes Ratio (NLR) in Predicting Recurrence of Cervical Dysplasia

Objective

The objective of the present study was to investigate the potential prognostic role of neutrophil-lymphocyte ratio (NLR) in comparison with known parameters of prediction for the detection of recurrences of cervical intraepithelial neoplasia (CIN) after treatment.

Methods

We retrospectively evaluated patients who underwent surgical treatment for CIN2, CIN3, and carcinoma in situ (CIN2+) between 2010 and 2019. NLR was recorded before surgery, and the follow-up records of patients were analyzed. Cases were splitted into two subgroups according to baseline NLR—low-NLR for <2 and high-NLR for ≥2 values of the index—and correlated with recurrences.

Results

428 cases fulfilled the criteria and were included in the study. Recurrence rate in patients with NLR <2.0 and NLR ≥2.0 was 15.2% and 27.3%, respectively, being the odd ratio for recurrence significantly higher in patients with NLR ≥2 (OR = 2.09; 95% CI 1.28-3.41; p = 0.003). A highly significant statistical difference in recurrence rate was demonstrated, in both univariate and multivariate, for surgical margins, follow-up HPV-DNA status, and NLR values.

Conclusion

Preoperative NLR categorization is a strong independent prognostic factor for recurrences after surgical excision of CIN. NLR evaluation is a simple, reproducible, and cost-effective clinical instrument that could optimally be introduced in clinical practice in every setting.

Evaluation of the Factors Affecting the Cure Rate of Cervical Intra-Epithelial Neoplasia Recurrence Using Defective Models

BACKGROUND

Treatment of cervical intraepithelial neoplasia is very important since if it remains untreated, it may progress to cervical cancer. It is usually treated with excisional surgery. This study aimed to find the factors affecting the cure rate of cervical intraepithelial neoplasia recurrence after surgery using defective models.

STUDY DESIGN

A retrospective cohort study.

METHODS

Excisional surgery was performed on 307 patients with high-grade cervical intraepithelial neoplasia, from 2009 to 2017. The patients were followed up until recurrence based on histopathology report. Hematologic factors were measured before surgery. The cure rates were estimated using defective models with a Gamma frailty term and the results were compared.

RESULTS

Neutrophil-to-lymphocyte ratio (NLR) (P<0.001) and excised mass size (P<0.001) had significant impacts on cure rates, and their cut-off values were 1.9 (P<0.001) and 15 mm2 (P<0.001), respectively. Patients with lower neutrophil-to-lymphocyte ratios and larger excised tissues had higher cure rates. Defective 3-parameter Gompertz distribution with gamma frailty term had the best fit to the data, and its estimated cure rates were 98% among patients with an excised mass size of &gt; 15 mm2 and NLR of <1.9, 84% among patients with an excised mass size of &gt;15 mm2 and NLR of &gt;1.9, 79% among patients with an excised mass size of <15 mm2 and NLR of <1.9, and 30% among patients with an excised mass size of <15 mm2 and NLR of &gt;1.9.

CONCLUSION

Cervical intraepithelial neoplasia must be identified and treated before its progress. Excision of more tissues during excisional surgery, especially when the NLR of the patient is high, can help to prevent cervical intraepithelial neoplasia recurrence.

The effectiveness of cold-knife conization (CKC) for post-menopausal women with cervical high-grade squamous intraepithelial lesion: a retrospective study

Background

The effectiveness of surgery of high-grade squamous intraepithelial lesion in post-menopausal women needs to be investigated. This study evaluated the clinical significance of cold-knife conization in the diagnosis and surgery of cervical high-grade squamous intraepithelial lesions in post-menopausal women.

Methods

We conducted a retrospective analysis of post- and pre-menopausal patients with high-grade squamous intraepithelial lesion. All patients received cold-knife conization as the primary therapy.

Results

The satisfactory rate of colposcopy was significantly lower in the post-menopausal group than in the pre-menopausal group (38.33 vs. 71.25%; χ² = 36.202, P < 0.001). The overall positive margin rate of cold-knife conization (25.83 vs 12.50%; χ² = 10.106, P = 0.001) and rate of positive endocervical cone margins (16.67 vs. 4.58%; χ² = 14.843, P < 0.001) were significantly higher in the post-menopausal group. Moreover, 49 post- and 60 pre-menopausal women underwent subsequent surgical treatment (40.83 vs. 25.00%). Residual rate of positive and negative margins in patients before and after menopause was significantly different (χ² = 5.711, P = 0.017; χ² = 12.726, P < 0.001, respectively). The recurrence rate in post-menopausal women remained 3.85%.

Conclusions

Cold-knife conization can be performed as a primary procedure for diagnosis and surgery of post-menopausal patients with high-grade squamous intraepithelial lesions. Sufficient deep excisions are necessary to avoid positive endocervical margins, which can reduce the residual and recurrence of postoperative lesions.

Descriptive statistics of dataset from the meta-analysis and meta-regression analysis on prognostic significance of pre-treatment systemic hemato-immunological indices of cervical cancer patients

In this study, we perform a meta-analysis and meta-regression analysis for the article entitled “Prognostic value of systemic hemato-immunological indices in uterine cervical cancer: A systemic review, meta-analysis, and meta-regression of observational studies.” [1] We implemented quantitative meta-analyses and time series meta-regression analysis to determine whether systemic hemato-immunological indices, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), thrombocyte-to-lymphocyte ratio (TLR), and C-reactive protein/albumin ratio (CAR) are associated with an increased risk of cervical collision cancer. In all, 9558 patients from 22 studies were included after a systematic data search, performed comprehensively using the following databases: MEDLINE, Web of Science, Embase, and Cochrane. The meta-analysis was conducted with a random-effects model using the Review Manager software (Revman version 5.3). The overall survival (OS), disease-free survival (DFS), and progression-free survival (PFS) data were compared among each observational study. All data are expressed as hazard ratios (HRs) and 95% confidence intervals (CIs), and were calculated using the generic inverse of variance method. Statistical heterogeneity was quantified using Cochrane's Q statistic and Higgins I² statistic. Subgroup analysis was performed to investigate the sources of heterogeneity. Furthermore, quality assessment of the included datasets was presented according to the Newcastle-Ottawa Scale method. Additionally, sensitivity analysis was conducted to explore the sources of heterogeneity and analyze whether the results were stable and reliable. Meta-analysis random-effect approach was used for the regression to evaluate the effect of age, presence of squamous cell carcinoma patients, and number of evaluated NLR and PLR parameters on patient survival.

The effects of vitamin B12, vitamin D, ferritin level, neutrophil/monocyte ratio and some blood parameters on genital warts presence, the number of lesions, and recurrence rates

The relationships between cancer caused by HPV and some vitamins, as well as leucocytes and their ratios, have been investigated in the literature. Our aim is to evaluate these relationships at the level of genital wart in terms of the investigated parameters and lesion numbers. Data were obtained from 98 and 94 patients for groups one and two, including warts patients and healthy people respectively. The Neutrophil/Monocyte ratio and lesion numbers in the warts patients were reported and analysed in terms of vitamin B12 and D, ferritin and leucocytes. A correlation was established between lesion numbers, age and midcorpuscular volume (p <0.05). There was no correlation between lesion numbers and recurrence. According to the comparative analysis, there were differences in terms of ferritin, neutrophil, monocyte, haemoglobin, midcorpuscular volume and neutrophil/monocyte ratio between groups. The cut-off values for neutrophil, monocyte and N/M ratios were 56.45, 4.91 and 7.825 respectively. While our study showed that wart development may be affected by blood ferritin levels and in this situation, midcorpuscular volume, neutrophil, monocyte and N/M ratios may change, a relation was found between lesion numbers and age and mean midcorpsucular volume values only. However, further studies are needed to clarify this issue.

Laboratory parameters as predictors of prognosis in uterine cervical neoplasia

OBJECTIVES

The aims of study were to assess platelet counts, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), RWD (red cells distribution width) and fasting glucose in patients with cervical intraepithelial neoplasia (CIN) and invasive cervical cancer; and to relate these parameters to prognostic factors and survival in cervical cancer.

STUDY DESIGN

We evaluated the patients with confirmed diagnosis of invasive cervical cancer (n = 102), and CIN (n = 102). Histological type, NLR, PLR, RDW, platelets count, fasting glucose, staging, overall survival (OS), and disease-free survival (DFS) were evaluated. The results of laboratory parameters were assessed by Mann-Whitney test. A receiver operating characteristic (ROC) curve was used to determine the best cut-off values. Survival was verified by the Kaplan-Meyer method followed by the Gehan-Breslow test. Multivariate analysis was performed using Cox regression. The level of significance was less than 0.05.

RESULTS

Comparing CIN and invasive malignancies, higher values of NLR, PLR, RDW and fasting glucose were found in cancer patients (p < 0.0001, p = 0.011, p = 0.0153 and p = 0.0096, respectively). In cervical cancer, higher NLR and PLR values were found at stage II to IV when compared to stage I (p = 0.0066 and p = 0.005, respectively). ROC curves were performed. In invasive neoplasms, the cut-off values for NLR and PLR in the comparison between stage I and greater than I were 4 and 165.45, respectively. For survival curves, there was lower OS and DFS in patients with NLR greater than 4 (p = 0.0004 and p = 0.0153, respectively) and PLR greater than 165.45 (p = 0.0319 and p = 0.0362, respectively). After multivariate analysis, only NLR remained as an independent factor in DFS (HR = 6.095, 95 % CI = 1.120-33.177, p = 0.037) and OS (HR = 4.522, 95 % CI = 1.241-16.479, p = 0.022) CONCLUSION: Higher NLR is associated to lower OS and DFS in invasive uterine cervical neoplasia, and can be considered an independent factor of worse prognosis.

Prognostic value of systemic hemato-immunological indices in uterine cervical cancer: A systemic review, meta-analysis, and meta-regression of observational studies

OBJECTIVE

To estimate the prognostic efficacy of several systemic hemato-immunological indices for the treatment of cervical cancer as well as to determine whether the systemic hemato-immunological indices are associated with an increased risk of cervical collision cancer.

METHODS

A systematic search was conducted to identify studies that evaluated the prognostic impact of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), thrombocyte-to-lymphocyte ratio (TLR), C-reactive protein/albumin ratio (CAR), and systemic immune-inflammation index (SII) in cervical cancer patients. The endpoints were overall survival (OS) or progression-free survival (PFS) and clinicopathologic parameters. A meta-analysis using random-effect models was performed to calculate hazard ratios (HRs) or odds ratios with 95% confidence intervals.

RESULTS

Twenty-two retrospective cohort studies involving 9558 patients were included. Our results show that high NLR, PLR, TLR, and CAR indicated poor prognosis for patients with cervical cancer (HRs = 2.46, 1.88, 3.70, and 3.94, respectively; all P ≤ 0.001). Subgroup analysis suggested that the highest NLR and PLR were more precise biomarkers in patients who were diagnosed with FIGO stage I-III cervical cancer after treatment with chemo-radiotherapy. High TLR and high LMR displayed significant prognostic value in late-FIGO stage III-IV cervical cancer (HRs = 4.33 and 2.032, respectively). Additionally, CAR was associated with poor survival in patients with advanced-FIGO stage cervical cancer and larger tumor size. According to the difference of NLR, the younger (43-51 years old) cervical cancer patients had a tendency of increased collision risk. However, cervical cancer patients in the 52-61 years age group were more vulnerable than their respective counterparts using the pooled estimate for PLR.

CONCLUSION

Our findings support a prognostic role for elevated CAR and TLR besides that of NLR and PLR in advanced-FIGO stage cervical cancer.

Prognostic Implications of Immune-Related Genes' (IRGs) Signature Models in Cervical Cancer and Endometrial Cancer

Cervical cancer and endometrial cancer remain serious threats to women's health. Even though some patients can be treated with surgery plus chemoradiotherapy as a conventional option, the overall efficacy is deemed unsatisfactory. As such, the development for new treatment approaches is truly necessary. In recent years, immunotherapy has been widely used in clinical practice and it is an area of great interest that researchers are keeping attention on. However, a thorough immune-related genes (IRGs) study for cervical cancer and endometrial cancer is still lacking. We therefore aim to make a comprehensive evaluation of IRGs through bioinformatics and large databases, and also investigate the relationship between the two types of cancer. We reviewed the transcriptome RNAs of IRGs and clinical data based on the TCGA database. Survival-associated IRGs in cervical/endometrial cancer were identified using univariable and multivariable Cox proportional-hazard regression analysis for developing an IRG signature model to evaluate the risk of patients. In the end, this model was validated based on the enrichment analyses through GO, KEGG, and GSEA pathways, Kaplan-Meier survival curve, ROC curves, and immune cell infiltration. Our results showed that out of 25/23 survival-associated IRGs for cervical/endometrial cancer, 13/12 warranted further examination by multivariate Cox proportional-hazard regression analysis and were selected to develop an IRGs signature model. As a result, enrichment analyses for high-risk groups indicated main enriched pathways were associated with tumor development and progression, and statistical differences were found between high-risk and low-risk groups as shown by Kaplan-Meier survival curve. This model could be used as an independent measure for risk assessment and was considered relevant to immune cell infiltration, but it had nothing to do with clinicopathological characteristics. In summary, based on comprehensive analysis, we obtained the IRGs signature model in cervical cancer (LTA, TFRC, TYK2, DLL4, CSK, JUND, NFATC4, SBDS, FLT1, IL17RD, IL3RA, SDC1, PLAU) and endometrial cancer (LTA, PSMC4, KAL1, TNF, SBDS, HDGF, LTB, HTR3E, NR2F1, NR3C1, PGR, CBLC), which can effectively evaluate the prognosis and risk of patients and provide justification in immunology for further researches.

Bioinformatics analysis and identification of potential genes related to pathogenesis of cervical intraepithelial neoplasia

The aim of this study was to explore and identify the key genes and signal pathways contributing to cervical intraepithelial neoplasia (CIN). The gene expression profiles of GSE63514 were downloaded from Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened performing with packages in software R. After Gene ontology terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyzing, and Gene set enrichment analysis (GSEA), weighted gene co-expression network analysis (WGCNA) was used to analyze these genes. Then sub-modules were subsequently analyzed base CIN grade, and protein-protein interaction (PPI) network of DEGs were constructed. 537 DEGs were screened in total, consisting 331 up-regulated genes and 206 down-regulated genes in CIN samples compared to normal samples. The most DEGs were enriched in chromosomal region in cellular component (CC), organelle fission inbiological process (BP) and ATPase activity in molecular function (MF). KEGG pathway enrichment analyzing found the DEGs were mainly concentrated in 10 pathways. The results of GSEA mainly enriched in 4 functional sets: E2F-Targets, G2M-Checkpoint, Mitotic-Spindle and Spermatogenesis. A total of 6 modules were identified by WCGNA. Subsequently, grey module was the highest correlation (Cor=0.78, P=5e-22) and 31 genes were taken as candidate hub genes for CIN high grade risk (weighted correlation coefficients >0.80). Finally, diagnostic analysis showed that in addition to CCDC7, the expression levels of the remaining 13 DEGs have a high diagnostic value (AUC>0.8 and P<0.05). These findings provided a new sight into the understanding of molecular functions for CIN.