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

Haematology results, inflammatory haematological ratios, and inflammatory indices in cervical cancer: How is the difference between cancer stage?

BACKGROUND

Cervical cancer is a prevalent form of cancer affecting women worldwide and it is the second most common cancer among women in Indonesia, accounting for 8.5% of all cancer-related deaths. Cervical cancer progression can be evaluated through laboratory tests to detect anaemia, an increased platelet count, and elevated inflammatory markers, therefore, effective laboratory examination is crucial for early detection and treatment of cervical cancer.

AIM

To evaluate the association between laboratory findings (haematology, haematology index, and inflammatory index) and the clinical stage of cervical cancer.

METHODS

This cross-sectional study analyzed adult cervical cancer patients’ data from medical records and laboratory results including sociodemographic status, histopathological finding, clinical stage, and complete haematology examination. Numerical data was analyzed by the one-way ANOVA (normal data distribution), while the Kruskal-Wallis test was used for non-parametric data (abnormal distribution), followed by appropriate post-hoc analysis. The categorical data was analyzed by the Chi-square or Fisher Exact tests. The significance level was established at a P value < 0.05.

RESULTS

This study involved the data of 208 adult cervical cancer patients and found no association between age, marital history, parity history, hormonal contraceptive use and cervical cancer stages. There were significant differences in the clinical laboratory test results based on the clinical stage of cervical cancer, including haemoglobin levels (P < 0.001), leucocytes (P < 0.001), neutrophils (P < 0.001), monocytes (P = 0.002), lymphocytes (P = 0.006), platelets (P < 0.001), neutrophil-lymphocyte ratio/NLR (P < 0.001), lymphocyte-monocyte ratio/LMR (P < 0.001), and platelet-lymphocyte ratio/PLR (P < 0.001). There were also significant differences in the systemic inflammatory index (SII) and systematic inflammatory response index (SIRI) between stage III + IV cervical cancer and stage II (SII P < 0.001; SIRI P = 0.001) and stage I (SII P < 0.001; SIRI P = 0.016), associated with the shifts in previously mentioned complete haematological values with cancer advancement.

CONCLUSION

The haematological parameters, inflammatory haematological ratios, and inflammatory indices exhibited significant differences between cervical cancer stages, therefore these tests can be utilized to evaluate cervical cancer progression.

Long-term analysis of hematological parameters as predictors of recurrence patterns and treatment outcomes in cervical cancer patients undergoing definitive chemoradiotherapy

PURPOSE

This study sought to determine the predictive and prognostic value of clinicopathological parameters and neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and hemoglobin (Hgb) level in predicting recurrence patterns and locoregional relapse-free survival (LRFS) and distant metastasis-free survival (DMFS) in cervical cancer patients receiving definitive chemoradiotherapy (ChRT).

METHODS

This study included 261 cervical cancer patients treated with ChRT. The primary endpoints were the predictors of local recurrence (LR) and distant metastasis (DM), whereas the secondary endpoints were LRFS and DMFS. The association of survival with potential prognostic factors was analyzed using Cox regression analysis, and the predictors of LR and DM were identified using logistic regression analysis.

RESULTS

The median follow-up time was 10.9 years. Recurrences occurred in 132 patients (50.6%) within a median of 11.2 months after definitive ChRT. NLR and PLR values were significantly higher in patients with LR and DM than in those without, with no significant differences in Hgb levels in patients with or without LR and DM. In the multivariable logistic regression analysis, lymph node metastasis, elevated NLR, and low Hgb level were significantly correlated with LR and DM. In the multivariable analysis, large tumor size, presence of lymph node metastasis, and elevated NLR were the independent predictors for poor LRFS and DMFS, and Hgb level was an additional prognostic factor for DMFS.

CONCLUSION

Hematological markers, particularly NLR and Hgb, may serve as cost-effective and readily accessible indicators for predicting recurrence and survival in cervical cancer patients, contributing to their practical use in routine assessments.

Hematological Parameters at Baseline: A Novel Prognostic Factor for Cervical Cancer Patients Undergoing Concurrent Chemoradiotherapy in South India

Introduction In cervical cancer treatment, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and albumin-globulin ratio (AGR) are being studied as potential prognostic markers for predicting the effectiveness of concurrent chemoradiotherapy (CCRT). This study aims to investigate the relationship between these biomarkers and survival outcomes in cervical cancer patients undergoing CCRT. Materials and methods This retrospective study was conducted at Amrita Institute of Medical Sciences between January 2016 and December 2019. It included patients at any stage who received definitive CCRT and were followed for at least two years post-treatment. Patients who had initial surgery and those lost to follow-up were excluded. Results The study included 123 patients with a median age of 68. Most patients had stage IIB (39%) and squamous cell carcinoma (76.4%). With a median follow-up of 56 months, the five-year overall survival (OS) was 66.8%, progression-free survival (PFS) was 94%, and recurrence-free survival (RFS) was 81.2%. AGR (p = 0.001), NLR (p = 0.0001), and PLR (p = 0.001) were found to be significantly associated with OS, NLR (p = 0.002) and AGR (p = 0.001) significantly affected RFS, while only PLR (p = 0.02) significantly affected PFS on univariate analysis. NLR significantly impacted OS (p = 0.003) and RFS (p = 0.03) on multivariate analysis. Conclusion The results of our study showed that increased NLR and elevated levels of albumin indicate a higher likelihood of mortality. Furthermore, a higher NLR was linked to an increased probability of recurrence in patients with cervical cancer who received primary treatment with CCRT. Therefore, the identification of predictive biomarkers could significantly improve the assessment of progression risk, aiding in the selection of the most suitable treatment and personalized therapy.

Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study)

Locally advanced cervical cancer (LACC) is treated with concurrent chemoradiation (CRT). Predictive models could improve the outcome through treatment personalization. Several factors influence prognosis in LACC, but the role of systemic inflammation indices (IIs) is unclear. This study aims to assess the correlation between IIs and prognosis in a large patient cohort considering several clinical data. We retrospectively analyzed pretreatment IIs (NLR, PLR, MLR, SII, LLR, COP-NLR, APRI, ALRI, SIRI, and ANRI) in 173 LACC patients. Patient, tumor, and treatment characteristics were also considered. Univariate and multivariate Cox's regressions were conducted to assess associations between IIs and clinical factors with local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS). Univariate analysis showed significant correlations between age, HB levels, tumor stage, FIGO stage, and CRT dose with survival outcomes. Specific pretreatment IIs (NLR, PLR, APRI, ANRI, and COP-NLR) demonstrated associations only with LC. The multivariate analysis confirmed Hb levels, CRT dose, and age as significant predictors of OS, while no II was correlated with any clinical outcome. The study findings contradict some prior research on IIs in LACC, emphasizing the need for comprehensive assessments of potential confounding variables.

Prognostic Role of Preoperative Neutrophil-To-Lymphocyte Ratio (NLR) and Recurrence at First Evaluation after Bacillus Calmette-Guérin (BCG) Induction in Non-Muscle-Invasive Bladder Cancer

We investigated the prognosis of BCG induction-only treatment and non-complete response (CR) at the first 3-month evaluation and examined factors associated with CR. In total, 209 patients with moderate- and high-risk NMIBC who received BCG induction-only treatment between 2008 and 2020 were retrospectively analyzed. Recurrence-free survival (RFS) and progression-free survival (PFS) were assessed based on the initial NMIBC stage. PFS and associated factors of non-CR compared to CR were also assessed. Initial T1 high-grade (HG) (n = 93) had poorer RFS and PFS after BCG induction-only treatment than Ta low-grade (LG) (p = 0.029, p = 0.002). Non-CR (n = 37) had a different neutrophil-to-lymphocyte ratio (NLR) (2.81 ± 1.02 vs. 1.97 ± 0.92) and T staging from CR (p < 0.001, p = 0.008). T1HG recurrence was associated with a worse PFS compared to non-T1HG (13.7 months vs. 101.7 months, p < 0.001). There was no difference in PFS between T1HG and T1LG. T1 and NLR were predictors of response at 3 months in multivariable analysis (p = 0.004, p = 0.029). NLR was also found to be an associated factor with RFS and PFS of bladder cancer (p < 0.001, p < 0.001). BCG induction-only treatment was effective for high-risk TaLG but not for T1HG. T1HG recurrence at 3 months after BCG induction has a poor prognosis for bladder cancer. Preoperative NLR and T1 were predictors of non-CR, and NLR was also associated with the long-term prognosis of bladder cancer.

Classical Prognostic Factors Predict Prognosis Better than Inflammatory Indices in Locally Advanced Cervical Cancer: Results of a Comprehensive Observational Study including Tumor-, Patient-, and Treatment-Related Data (ESTHER Study)

Systemic inflammation indices were found to be correlated with therapeutic outcome in several cancers. This study retrospectively analyzes the predictive role of a broad range of systemic inflammatory markers in patients with locally advanced cervical cancer (LACC) including patient-, tumor-, and treatment-related potential prognostic factors. All patients underwent definitive chemoradiation and pretreatment values of several inflammatory indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio, monocyte/lymphocyte ratio, systemic immune inflammation index (SII), leukocyte/lymphocyte ratio, combination of platelet count and NLR, aspartate aminotransferase/platelet ratio index, aspartate aminotransferase/lymphocyte ratio index, systemic inflammatory response index, and aspartate transaminase/neutrophil ratio index) were calculated. Their correlation with local control (LC), distant metastasis-free (DMFS), disease-free (DFS), and overall survival (OS) was analyzed. One hundred and seventy-three patients were included. At multivariable analysis significant correlations were recorded among clinical outcomes and older age, advanced FIGO stage, lower hemoglobin levels, larger tumor size, and higher body mass index values. The multivariate analysis showed only the significant correlation between higher SII values and lower DMFS rates (p < 0.01). Our analysis showed no significant correlation between indices and DSF or OS. Further studies are needed to clarify the role of inflammation indices as candidates for inclusion in predictive models in this clinical setting.

Tumor educated platelet: the novel BioSource for cancer detection

Platelets, involved in the whole process of tumorigenesis and development, constantly absorb and enrich tumor-specific substances in the circulation during their life span, thus called "Tumor Educated Platelets" (TEPs). The alterations of platelet mRNA profiles have been identified as tumor markers due to the regulatory mechanism of post-transcriptional splicing. Small nuclear RNAs (SnRNAs), the important spliceosome components in platelets, dominate platelet RNA splicing and regulate the splicing intensity of pre-mRNA. Endogenous variation at the snRNA levels leads to widespread differences in alternative splicing, thereby driving the development and progression of neoplastic diseases. This review systematically expounds the bidirectional tumor-platelets interactions, especially the tumor induced alternative splicing in TEP, and further explores whether molecules related to alternative splicing such as snRNAs can serve as novel biomarkers for cancer diagnostics.

Systemic inflammation factors as survival prognosis markers in ovarian neoplasm and the relationship with cancer-associated inflammatory mediators-a review

At the level of the genital system, ovarian neoplasm is the most frequent cause of morbidity and mortality. In the specialized literature, the coexistence of an inflammatory process is admitted from the early stages of the evolution of this pathology. Starting from the importance of this process, both in determinism and in the evolution of carcinogenesis and summarizing the field of knowledge, for this study we considered two objectives: the first was the presentation of the pathogenic mechanism, through which chronic +ovarian inflammation is involved in the process of carcinogenesis, and the second is the justification of the clinical utility of the three parameters, accepted as biomarkers of systemic inflammation: neutrophil-lymphocyte ratio, platelet lymphocyte ratio, and lymphocyte-monocyte ratio in the assessment of prognosis. The study highlights the acceptance of these hematological parameters, with practical utility, as prognostic biomarkers in ovarian cancer, based on the intrinsic link with cancer-associated inflammatory mediators. Based on the data from the specialized literature, the conclusion is that in ovarian cancer, the inflammatory process induced by the presence of the tumor, induces changes in the types of circulating leukocytes, with immediate effects on the markers of systemic inflammation.

The Utility of Pre-Treatment Inflammation Markers as Associative Factors to the Adverse Outcomes of Vulvar Cancer: A Study on Staging, Nodal Involvement, and Metastasis Models

BACKGROUND

Given the role of inflammation in carcinogenesis, this study investigated the utility of pre-treatment inflammatory markers as associative indicators for advanced-stage disease, lymph node metastasis (LNM), and distant metastasis (DM) in vulvar cancer (VC).

METHODS

A cross-sectional study was conducted on 86 women with VC in a single centre in Jakarta, Indonesia. The laboratory data was based on C-reactive protein (CRP), procalcitonin, the erythrocyte sedimentation rate (ESR) and fourteen derived, recorded and calculated ratios: leukocyte-to-platelet (LPR), neutrophil-to-lymphocyte (NLR), derived neutrophil-to-lymphocyte (dNLR), neutrophil-to-monocyte (NMR), platelet-to-monocyte (PLR), lymphocyte-to-monocyte (LMR), basophil-to-monocyte (BLR), systemic immune-inflammation index (SII), body mass index, albumin, and NLR (BAN) score, haemoglobin-to-platelet (HPR), prognostic nutritional index (PNI), modified Glasgow Prognostic Score (mGPS), CRP-to-albumin, and CRP-to-procalcitonin. The optimal cut-off for each marker was determined using receiver operating characteristic (ROC) curve analysis, and their diagnostic indicator performances were assessed. The utility of these ratios as associative factors for three endpoints was further evaluated in multivariate regression models.

RESULTS

Investigated inflammatory markers exhibited specific performances for individual adverse outcomes, proving a fair to excellent ability in case finding and screening. After adjustment, the BAN score ≤ 334.89 (OR 9.20, p = 0.001) and ESR ≥ 104 (OR 4.18, p = 0.048) become two advanced-stage associative factors with AUC: 0.769. LNM was solely determined by higher NLR ≥ 2.83 (OR 4.15, p = 0.014) with AUC: 0.615. Meanwhile, BLR ≥ 0.035 (OR 5.67, p = 0.001) and ESR ≥ 84 (OR 6.01, p = 0.003) were contributing factors for DM, with AUC: 0.765.

CONCLUSIONS

Inflammatory markers are crucial for identifying the deleterious outcomes of VC. Accordingly, yielded models require external validation.

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.

The utility of pretreatment systemic inflammatory response biomarkers on overall survival of cervical cancer patients stratified by clinical staging

OBJECTIVE

Inflammation plays a crucial role in the initiation and progression of many cancers. This study aimed to investigate the utility of pretreatmentneutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), derived neutrophil-lymphocyte ratio (dNLR), and a combination of PLR and NLR in predicting the risk of death according to clinical staging in cervical cancer (CC) patients.

METHODS

A cohort study of women with CC, diagnosed and treated at a single cancer referral center in Brazil, from 2006 to 2009. A multivariate Cox regression analysis and ROC curve analysis accessed the predictive value of inflammatory response biomarkers in overall survival (OS). The median values of the biomarkers were used as cut-off points.

RESULTS

A total of 1,266 patients were included in the study, 76.0% with locally advanced disease. After adjusting for clinical variables, NLR > 2.57, PLR ≥ 146.70, dNLR ≥ 1.778 and PLR + NLR in combination had equivalent performance in predicting worse OS, but only among patients with locally advanced disease (adjusted Hazard Ratio [aHR] = 1.453, 95% Confidence Interval [CI] = 1.227-1.722; p < 0.001; aHR = 1.429; 95% CI = 1.209-1.688; p < 0.001; aHR = 1.486, 95% CI = 1.257-1.756, p < 0.001, aHR = 1.731; 95% CI = 1.411-2.123; p < 0.001, respectively).

CONCLUSION

In conclusion, PLR, NLR, dNLR and PLR + NLR in combination presented equivalent performance in predicting OS in locally advanced CC patients. They are simple and readily available from routine blood tests, not entailing additional costs. PLR, NLR, dNLR and PLR + NLR in combination are strong prognostic biomarkers candidates in locally advanced CC and should be further explored in prospective trials.