Prognostic value of systemic inflammatory markers in ovarian Cancer: a PRISMA-compliant meta-analysis and systematic review

Development and validation of a nomogram to predict recurrence in epithelial ovarian cancer using complete blood count and lipid profiles

Objective

Ovarian cancer is one of the most lethal gynecological malignancies. This study aimed to evaluate the prognostic significance of complete blood count (CBC) and lipid profile in patients with optimally debulked epithelial ovarian cancer (EOC) and develop a nomogram model to predict recurrence-free survival (RFS).

Methods

This retrospective study analyzed patients diagnosed with EOC between January 2018 and June 2022.

Results

A total of 307 patients were randomly divided into training and validation sets in a ratio of 7:3. Grade, International Federation of Gynecology and Obstetrics (FIGO) stage, platelet-to-lymphocyte ratio, red blood cell distribution width-coefficient of variation, triglycerides, and human epididymal protein 4 were identified as independent prognostic factors. The novel nomogram displayed a good predictive performance, with a concordance index (C-index) of 0.787 in the training group and 0.807 in the validation group. The areas under the curve for 1-, 3-, and 5-year RFS were 0.770, 0.881, and 0.904, respectively, in the training group, and 0.667, 0.906, and 0.886, respectively, in the validation group. The calibration curves exhibited good concordance between the predicted survival probabilities and actual observations. Time-dependent C-index curves, integrated discrimination improvement, net reclassification index, and decision curve analysis showed that the nomogram outperformed FIGO staging.

Conclusion

This study established and validated a nomogram combining CBC and lipid profiles to predict RFS in patients with optimally debulked EOC, which is expected to aid gynecologists in individualized prognosis assessment and clinical management.

Combined inflammation-related biomarkers and clinicopathological features for the prognosis of stage II/III colorectal cancer by machine learning

BACKGROUND

Inflammation-related biomarkers, such as systemic inflammation score (SIS) and neutrophil-lymphocyte ratio (NLR), are associated with colorectal cancer prognosis. However, the combined role of SIS, NLR, and clinicopathological factors in stage II/III colorectal cancer remains unclear. This study developed a nomogram to predict long-term prognosis for these patients.

METHODS

This retrospective study included 1540 patients (training set) from the First Affiliated Hospital of Kunming Medical University and 152 patients (testing set) from The Honghe Third People's Hospital. Cox regression identified independent prognostic factors, and machine learning established predictive models. Model performance was evaluated by the C-index, area under the curve (AUC), and decision curve analysis (DCA).

RESULTS

In the training set, a total of 1540 patients with stage II/III colorectal cancer were included. More than 70 years old (HR = 1.830, p = 0.000); SIS = 2 (HR = 1.693, p = 0.002); Preoperative CEA more than 5 ng/mL (HR = 1.614, p = 0.000); and Moderately differentiated (HR = 1.438, p = 0.011); or Low/undifferentiated (HR = 2.126, p = 0.000); The pN1 (HR = 2.040, p = 0.000) and pN2 (HR = 3.297, p = 0.000) stages were considered independent prognostic risk factors of stage II/III colorectal cancer. Negative perineural invasion (HR = 0.733, p = 0.014) and NLR less than 4 (HR = 0.696, p = 0.022) were considered independent prognostic protective factors of stage II/III colorectal cancer. A nomogram was established based on SIS, NLR, and the clinicopathological results for predicting and validating the overall survival in the training and testing sets. The C-index of the training set was 0.746, and the C-index of the testing set was 0.708, indicating the high prediction efficiency of the nomogram.

CONCLUSIONS

A nomogram combining SIS, NLR, and clinicopathological factors provides an effective, cost-efficient tool for predicting the prognosis of stage II/III colorectal cancer. Future studies will validate its long-term predictive performance in larger, multicenter cohorts.

Bevacizumab as a mitigating factor for the impact of high systemic immune-inflammation index on chemorefractory in advanced epithelial ovarian cancer

BACKGROUND

Predicting chemorefractory disease in advanced epithelial ovarian cancer (EOC) remains challenging. This study aimed to identify clinicopathological factors and hemogram data as predictive markers for chemorefractory EOC and to explore potential therapeutic approaches that may mitigate these unfavorable conditions.

METHODS

We conducted a retrospective analysis of patients with advanced EOC treated with chemotherapy. Hemogram data and clinicopathological variables were collected. We employed logistic regression to assess factors associated with chemorefractory EOC and used the Kaplan-Meier method for survival analysis.

RESULTS

Among the 191 patients analyzed, suboptimal surgery, lymphocyte count < 1440/mm3, systemic immune-inflammation index (SII) ≥ 2350, and lack of bevacizumab therapy were independently associated with chemorefractory EOC (OR 19.30, 95% CI 7.01-53.12; OR 9.07, 95% CI 2.76-29.82; OR 12.45, 95% CI 3.87-40.07; OR 6.61, 95% CI 2.01-21.78, respectively). Elevated SII was also identified as a risk factor for poor progression-free (PFS) and overall survival (OS). Specifically, patients with high SII who did not receive bevacizumab had a significantly higher probability of chemorefractory EOC and poorer survival outcomes compared to those who received bevacizumab.

CONCLUSIONS

Our findings suggest that hemogram parameters and clinicopathological factors such as suboptimal surgery, lymphocyte count, SII, and bevacizumab therapy status are predictive markers for chemorefractory disease in advanced EOC. Elevated SII emerged as a predictor for poorer PFS and OS outcomes, particularly in the absence of bevacizumab therapy.

Prediction of postoperative residual primary ovarian neoplasm or metastatic lesion close to rectum of serous ovarian carcinoma based on clinical and MR T1-DEI features

BACKGROUND

The optimal primary debulking surgery outcome of serous ovarian carcinoma (SOC) is greatly affected by primary ovarian neoplasm or metastatic lesion close to the rectum.

PURPOSE

To study the risk factors affecting postoperative residual primary ovarian neoplasm or metastatic lesion close to the rectum of SOC.

MATERIAL AND METHODS

The clinical and MRI data of 164 patients with SOC eligible from institution A (training and test groups) and 36 patients with SOC eligible from institution B (external validation group) were collected and retrospectively analyzed. The clinical data included age, serum carbohydrate antigen 125 (CA-125), human epididymis protein 4, and neutrophil-to-lymphocyte ratio (NLR). Magnetic resonance imaging (MRI) data included ovarian mass distribution, maximum diameter of ovarian mass, ovarian mass features, degree of rectal invasion of the primary ovarian neoplasm or metastatic lesion, and amount of ascites. A model was established using multivariate logistic regression.

RESULTS

By univariate and multivariate logistic regressions, CA-125 (P = 0.024, odds ratio [OR] = 3.798, 95% confidence interval [CI] = 1.24-13.32), NLR (P = 0.037, OR = 3.543, 95% CI = 1.13-12.72), and degree of rectal invasion of the primary ovarian neoplasm or metastatic lesion (P < 0.001, OR = 37.723, 95% CI = 7.46-266.88) were screened as independent predictors. The area under the curve values of the model in the training, test, and external validation groups were 0.860, 0.764, and 0.778, respectively.

CONCLUSION

The clinical-radiological model based on T1-weighted dual-echo MRI can be used non-invasively to predict postoperative residual ovarian neoplasm or metastasis close to SOC in the rectum.

Cogent integration of inflammatory biomarkers and perioperative complications of thyroid surgery in thyroidology

OBJECTIVE

Back to the sources, postoperative nausea and vomiting, hypo- and hypertension, heart rate alterations, and hypoxemia due to laryngospasm might be considered perioperative complications.

METHODS

This cross-sectional study was conducted at an Education and Research Hospital between January 2018 and June 2023. The study included a total of 437 cases of thyroid surgery. The demographic data such as age, sex, co-morbidities of the instances, hypotension, hypertension, bradycardia, hypoxemia, and postoperative nausea and vomiting, as well as laboratory data were obtained and analyzed.

RESULTS

Of 437 cases, 334 (76%) were females and 103 (24%) were males, with a mean age of 51.83±11.91 years and 55.32±11.87 years, respectively. No statistical significance was realized between the complications, co-morbid diseases, and age. Notably, no liaison between the complications after awakening from the anesthesia and preoperative laboratory parameters was discerned. However, a high but no significant relationship was revealed between the platelet-to-lymphocyte ratio (P/L) in cases with hypoxemia and hypotension. Finally, no significance between laboratory values, bradycardia, hypertension, and postoperative nausea and vomiting was distinguished.

CONCLUSION

We postulate that the so-called inflammatory biomarkers measured at the time of preoperative examination in the blood count concept selectively do not enrich for anticipating complications that arise in the perioperative echelon.

Evaluation of systemic immune-inflammation index for predicting late-onset fetal growth restriction

INTRODUCTION

To determine a cut-off value for systemic immune-inflammation index (SII) (neutrophil × platelet/lymphocyte) in the prediction of fetal growth restriction (FGR).

MATERIALS AND METHODS

This case-control study was conducted retrospectively at the Obstetrics-Gynecology and Perinatology Clinics of Etlik Zubeyde Hanim Women's Health Education and Training Hospital. Singleton pregnant women with late-onset FGR who were followed up in outpatient clinics or hospitalized and whose pregnancy resulted at our hospital were included in the study group (group I). Healthy early and full-term singleton pregnant women with spontaneous labor who were followed up in the same hospital and whose pregnancy resulted at the same hospital were included in the control group (group II). Receiver-operating characteristic curves were used to assess the performance of SII value in predicting FGR.

RESULTS

We recruited 79 cases (pregnant with late-onset fetal growth restriction) and 79 controls (healthy pregnant), matched for age, body mass index, and parity. ΔSII was statistically significantly higher in the pregnant with late-onset FGR compared with healthy pregnant (123 vs - 65; p = 0.039). The values in ROC curves with the best balance of sensitivity/specificity were > 152 109/L (49% sensitivity, 70% specificity) and > 586 109/L (27% sensitivity, 90% specificity) for late-onset FGR.

DISCUSSION

Higher ΔSII levels in maternal blood indicate an inflammatory process causing FGR. The cut-off value for ΔSII (> 586 109/L) at 90% specificity can be used as a screening test. In the presence of ΔSII levels > 586 109/L (27% sensitivity and 90% specificity), the physicians should be more cautious about risk for FGR. Therefore, pregnant women at risk for FGR should be checked more frequently and monitored closely. However, further studies are needed to confirm our findings.

SYSTEMIC INFLAMMATORY MARKERS - PROGNOSTIC VALUE IN OVARIAN CANCER

Background

Chronic inflammation is associated with different cancers, and is identified as a key pathogenic mechanism in ovarian cancer. The purpose of our study was to evaluate systemic inflammation markers, as predictive and prognostic factors, in ovarian cancer patients with initial surgical treatment.

Subjects and Methods

We performed a retrospective study on 60 ovarian cancer patients with primary cytoreduction surgery, between 2010-2018, with a follow-up period of at least one year. We analyzed systemic inflammation markers and their correlations with the clinical, paraclinical, tumor characteristics, or treatment particularities, and evaluated them as prognostic factors for overall survival.

Results

In the univariate analysis, no statistically significantly differences were observed, by correlating the systemic inflammation markers with age, reproductive status, FIGO stage, or type of cytoreduction. Higher neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) were statistically significant associated with deceased patients, and lower lymphocyte-monocyte ratio (LMR) had statistical significance for living patients. For the patients in the group, the increase of NLR, as well as of PLR leads to the increased risk of death, and the increase of LMR leads to the decrease of this risk. In the multivariate regression analysis, the increase of NLR determined an increased risk of death by 9.7%, and for LMR a reduced risk of death by 46.9%.

Conclusions

Systemic inflammation markers had no statistical significance correlated with age, reproductive status, FIGO stage, serous cancer type, or type of cytoreduction but only with overall survival. NLR is an independent risk factor, while LMR is an independent protection factor as well as optimal cytoreduction.

The role of preoperative hematological inflammatory markers as a predictor of meningioma grade: A systematic review and meta-analysis

Background

Inflammatory processes play an important role in the aggressiveness of a tumor. However, the relationship between inflammatory markers in meningioma grade is not well known. Knowledge of preoperative meningioma grade plays an important role in the prognosis and treatment of this tumor. This study aims to assess preoperative hematological inflammatory markers as a predictor of the pathological grade of meningioma.

Methods

To ensure comprehensive retrieval of relevant studies, we searched the following key databases, PubMed, Science Direct, and Biomed Central, with evidence related to preoperative hematological inflammatory markers among meningioma up to September 2023. The studies involved were selected based on established eligibility criteria. The analysis in this study uses Review Manager 5.4.

Results

Six studies were obtained from the search results. The total number of patients 2789 (469 high-grade meningioma and 2320 low-grade meningioma) analysis shows elevated neutrophil-to-lymphocyte ratio (NLR) (mean difference [MD]: 0.29; 95% confidence interval [CI] 0.13-0.45; P = 0.0004), monocyte-to-lymphocyte ratio (MLR) (MD: 0.02; 95% CI 0.00-0.04; P = 0.003), and low lymphocyte-to-monocyte ratio (LMR) (MD: -0.82; 95% CI -1.46--0.18; P = 0.005) significantly associated with high-grade meningioma compared to low-grade meningioma. No significant correlation between high-grade and low-grade meningioma based on platelet-lymphocyte ratio value is observed.

Conclusion

The parameters of NLR, MLR, and LMR have been found to be cost-effective preoperative methods that demonstrate potential value in the prediction of meningioma grade. To enhance the reliability of the findings, it is imperative to do further prospective study.

[The correlation between preoperative neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and postoperative recurrence of chronic rhinosinusitis]

Objective:Neutrophil-to-lymphocyte ratio （NLR） and platelet-to-lymphocyte ratio （PLR） play important roles in the poor prognosis of different inflammatory and neoplastic diseases, but their effects on postoperative recurrence of chronic rhinosinusitis（CRS） are unknown. The aim of this study was to investigate the correlation between preoperative NLR and PLR and the risk of postoperative recurrence in CRS. Methods:Clinical data were collected from patients with CRS who underwent initial functional endoscopic sinus surgery from October 2018 to February 2022 at our institution. Follow-up was until February 2023, and the study endpoint was defined as patient postoperative recurrence or follow-up time up to date. The optimal preoperative NLR and PLR threshold values were obtained based on subject work curve analysis, and they were divided into high and low level subgroups, respectively, and the clinical characteristics and postoperative recurrence rates of patients were compared between groups; patients were divided into non-recurrent CRS and recurrent CRS according to their postoperative recurrence, and Kaplan-Meier survival curves and logistic regression analysis were performed to explore the correlation between NLR and PLR and CRS The correlation between NLR and PLR and postoperative recurrence was investigated by Kaplan-Meier survival curve and logistic regression analysis. Results:A total of 630 patients with CRS were included, including 382 and 140 patients with high NLR and high PLR, respectively. The postoperative recurrence rates of CRS patients in the high NLR and high PLR groups were significantly higher than those in the low NLR and low PLR groups（P<0.05）. The recurrent CRS had higher NLR and PLR levels and higher proportion of high NLR and high PLR than the non-recurrent CRS（P<0.05）, and similarly the duration of recurrent CRS and the rate of allergic rhinitis with recurrence were significantly higher than the non-recurrent CRS（P<0.05）. Kaplan-Meier survival curves showed that postoperative CRS was significantly higher in the high NLR and high PLR groups compared with the low NLR and low PLR groups. recurrence was significantly higher（P<0.05）. In addition, logistic regression analysis showed that high NLR, high PLR, disease duration, and combined allergic rhinitis were significantly associated with an increased risk of postoperative recurrence of CRS（P<0.05）. Conclusion:Both high preoperative NLR and high PLR are independent risk factors for postoperative recurrence of CRS, and they are expected to be new indicators for postoperative prognostic assessment and risk stratification of CRS patients. In addition, disease duration and comorbid allergic rhinitis were significantly associated with the risk of postoperative recurrence of CRS.

Prognostic Significance of Preoperative Inflammation Markers on the Long-Term Outcomes in Peritoneal Carcinomatosis from Ovarian Cancer

Ovarian cancer remains one of the most lethal gynaecological malignancies affecting women worldwide; therefore, attention has been focused on identifying new prognostic factors which might help the clinician to select cases who could benefit most from surgery versus cases in which neoadjuvant systemic therapy followed by interval debulking surgery should be performed. The aim of the current paper is to identify whether preoperative inflammation could serve as a prognostic factor for advanced-stage ovarian cancer. Material and methods: The data of 57 patients who underwent to surgery for advanced-stage ovarian cancer between 2014 and 2020 at the Cantacuzino Clinical Hospital were retrospectively reviewed. The receiver operating characteristic curve was used to determine the optimal cut-off value of different inflammatory markers for the overall survival analysis. The analysed parameters were the preoperative level of CA125, monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and systemic inflammation index (SII). Results: Baseline CA125 > 780 µ/mL, NLR ≥ 2.7, MLR > 0.25, PLR > 200 and a systemic immune inflammation index (SII, defined as platelet × neutrophil-lymphocyte ratio) ≥ 84,1000 were associated with significantly worse disease-free and overall survival in a univariate analysis. In a multivariate analysis, MLR and SII were significantly associated with higher values of overall survival (p < 0.0001 and p = 0.0124); meanwhile, preoperative values of CA125, PLR and MLR were not associated with the overall survival values (p = 0.5612, p = 0.6137 and p = 0.1982, respectively). In conclusion, patients presenting higher levels of MLR and SII preoperatively are expected to have a poorer outcome even if complete debulking surgery is performed and should be instead considered candidates for neoadjuvant systemic therapy followed by interval surgery.

Searching for prognostic markers for Stage I epithelial ovarian cancer: A role for systemic inflammatory markers

OBJECTIVE

To determine the prognostic role of systemic inflammatory markers for Stage I epithelial ovarian cancer (EOC).

MATERIALS AND METHODS

We performed a retrospective, single-center, observational study. We included patients with Stage I EOC cancer undergoing primary surgery between 1993 and 2016. Inflammatory markers were assessed by analyzing blood samples collected at initial diagnosis before EOC surgery. We evaluated these markers' association with disease-free survival (DFS) and cancer-specific survival (CSS).

RESULTS

We included 176 women in our study. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) were related to both DFS and CSS in the univariate analysis. In the multivariate Cox analysis, adjuvant chemotherapy (hazard ratio [HR] 0.17, 95% confidence interval [CI] 0.04-0.71, P = 0.02) and SII ≥730 (HR 6.84, 95% CI 1.30-35.9, P = 0.023) were independent predictors of DFS, while FIGO Stage IB-IC (HR 7.91, 95% CI 1.04-59.8, P = 0.04), NLR ≥3 (HR 56.8, 95% CI 7.46-433, P < 0.001) and PLR ≥169 (HR 49.1 95% CI 11.1-217.8, P = 0.005) were independent predictors of CSS.

CONCLUSIONS

Systemic inflammatory markers are easily obtainable from patients' routine blood analyses and may represent inexpensive and reproducible prognostic markers in early-stage EOC.

Exploring the connection between microsatellite instability and inflammatory indicators in cancers

Aim: This study aimed to investigate the association between microsatellite instability (MSI) status and inflammatory indicators in patients with cancer. Patients & methods: A total of 204 patients with various cancer diagnoses, including 102 with MSI-high (MSI-H) and 102 with microsatellite stable tumors, were enrolled. Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), C-reactive protein (CRP)-to-albumin ratio and systemic immune-inflammation index were evaluated. Results: In microsatellite stable patients, NLR, LMR, PLR and systemic immune-inflammation index were significantly linked to worse survival in univariate analysis, and having a LMR ≤2.6 negatively affected survival in multivariate analysis, although these indicators did not affect the survival of MSI-H patients. Conclusion: The impact of chronic inflammation on survival varies with MSI status. Further research is needed for targeted therapies in different tumors.

Association between systemic immune-inflammatory markers and the risk of moyamoya disease: a case-control study

Background:Systemic immune-inflammatory markers such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR) and systemic immune-inflammatory index (SII) are associated with the prognosis of many cardiovascular and neoplastic diseases. Moyamoya disease (MMD) is associated with inflammation, but the relationship between systemic immune-inflammatory markers between MMD is unclear. The aim of our study was to analyse the association between systemic immune-inflammatory markers and the risk of MMD and its subtypes.Methods:We consecutively recruited 360 patients with MMD and 89 healthy control subjects in a case-control study to calculate and analyse the association of systemic immune-inflammatory markers with the risk of MMD and its subtypes.Results:The risk of MMD increased with higher levels of NLR (OR 1.237, 95% CI [1.008, 1.520], p = .042). When NLR and SII were assessed as quartile-spaced subgroups, the third quartile grouping of NLR and SII had a higher risk of MMD than the first quartile grouping (NLR: OR 3.206, 95% CI [1.271, 8.088], p = .014; SII: OR 3.074,95% CI [1.232,7.672], p = .016). When NLR was combined with SII, the highest subgroup had a higher risk of MMD than the lowest subgroup (OR2.643, 95% CI [1.340, 5.212], p = .005). The risk of subtypes also increased with higher levels of NLR and SII. The association between the levels of NLR and SII with the staging of the Suzuki stage follows an inverted U-shape. The highest levels of NLR and SII were found in patients with MMD at Suzuki stages 3-4.Conclusion:The risk of MMD increases with elevated systemic immune-inflammatory markers. This study analysed the association of systemic immune-inflammatory markers with the risk of developing MMD and its subtypes, and identified novel inflammatory markers for MMD.

The neutrophil-to-lymphocyte ratio as a new prognostic factor in cancers: a narrative review

The increasing incidence of cancer globally has highlighted the significance of early diagnosis and improvement of treatment strategies. In the 19th century, a connection was made between inflammation and cancer, with inflammation recognized as a malignancy hallmark. The neutrophil-to-lymphocyte ratio (NLR), calculated from a complete blood count, is a simple and accessible biomarker of inflammation status. NLR has also been proven to be a prognostic factor for various medical conditions, including mortality classification in cardiac patients, infectious diseases, postoperative complications, and inflammatory states. In this narrative review, we aim to assess the prognostic potential of NLR in cancer. We will review recent studies that have evaluated the association between NLR and various malignancies. The results of this review will help to further understand the role of NLR in cancer prognosis and inform future research directions. With the increasing incidence of cancer, it is important to identify reliable and accessible prognostic markers to improve patient outcomes. The study of NLR in cancer may provide valuable insights into the development and progression of cancer and inform clinical decision-making.

Diagnostic value of CA125, HE4, and systemic immune-inflammation index in the preoperative investigation of ovarian masses

This study aimed to ascertain the diagnostic accuracy of CA125, HE4, systemic immune-inflammation index (SII), fibrinogen-to-albumin ratio (FAR), prognostic nutritional index (PNI), and their combination for ovarian cancer (OC) to discover an optimal combined diagnostic index for early diagnosis of OC. A thorough investigation was conducted to ascertain the correlation between these markers and the pathological characteristics of OC, thereby providing a foundation for early identification and treatment of this disorder. One hundred seventy patients with documented OC and benign ovarian tumors (BOTs) treated at Hebei General Hospital between January 2019 and December 2022 were included in this retrospective study. Data analysis was conducted using IBM SPSS Statistics version V26.0, MedCalc Statistical Software version 19.4.0, and the R Environment for Statistical Computing software (R Foundation for Statistical Computing). Isolated CA125 showed the best application value for differentiating benign ovarian tumors from OC when the defined variables were compared separately. The combination of CA125, HE4, FAR, SII, and PNI displayed a greater area under the operating characteristic curve curve than any one of them or other combinations of the 5 variables. Compared to CA125 alone, the combination of CA125, HE4, FAR, SII, and PNI showed a slight gain in sensitivity (83.91%), negative predictive value (83.91%), accuracy (85.88%), and a decrease in negative likelihood ratio (0.180%). Higher preoperative CA125, HE4, SII, and FAR levels, and lower PNI levels predicted a higher probability of advanced OC progression and lymph node metastasis. FAR has better application value than other inflammation-related markers (PNI and SII). This study suggests that preoperative serum SII, PNI, and FAR may be clinically valuable markers in patients with OC. FAR has better application value than other inflammation-related markers (PNI and SII). As we delve deeper into the inflammatory mechanisms associated with tumors, we may discover more effective combinations of tumor and inflammatory biomarkers.

Clinical utility of the pan-immune-inflammation value in breast cancer patients

Background

The newly discovered pan-immune-inflammation value (PIV) has been illustrated to have good prognostic value for cancer patient prognosis. However, the prognostic usefulness of PIV in breast cancer patients is unknown. As a result, to aid the clinic in providing a distinctive and trustworthy biomarker to better assess breast cancer patient's prognosis, we conducted this meta-analysis to investigate the relationship between PIV and the survival of breast cancer patients.

Methods

We conducted a systematic search of Pubmed, Embase, the Cochrane Library, and the CNKI databases to screen for eligible studies published up to April 2023. Outcomes included overall survival (OS), progression-free survival (PFS), and pathological complete response (pCR). The hazard ratio (HR) and the corresponding 95% confidence interval (CI) were used as the indicators. STATA 15.0 software was used to perform meta-analysis, sensitivity analysis, and publication bias analysis.

Results

A total of eight articles, involving 2953 patients, met the inclusion criteria and were included in this meta-analysis. The results showed that patients with higher PIV levels had a significantly shorter OS (HR: 2.045, 95% CI: 1.355-3.086, P = 0.001) and PFS (HR: 1.466, 95% CI: 1.163-1.848, P = 0.001). Besides, the PIV value was negatively correlated with the efficacy of neoadjuvant chemotherapy. Sensitivity analysis showed that the results of this study were reliable and stable.

Conclusions

PIV has a good prognostic value in breast cancer patients and is expected to be a prognostic biomarker for breast cancer.

Prognostic Significance of Preoperative NLR, MLR, and PLR Values in Predicting the Outcome of Primary Cytoreductive Surgery in Serous Epithelial Ovarian Cancer

(1) The degree of cytoreduction achieved during primary debulking surgery (PDS) is an important prognostic factor for the survival of patients with epithelial ovarian cancer (EOC). Our aim was to investigate the prognostic value of preoperative laboratory parameters for the outcome of PDS. (2) We analyzed the preoperative laboratory parameters of 150 serous EOC patients who underwent PDS between 2006 and 2013. Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cut-off values of the variables for predicting the PDS outcome. We used binary logistic regression to examine the independent predictive value of the factors for incomplete cytoreduction. (3) Among the parameters, we established optimal cut-off values for cancer antigen (Ca)-125, neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) to predict the outcome of PDS. The results of binary logistic regression showed that stage (FIGO III-IV), MLR (>0.305), and Ca-125 (>169.15 kU/L) were independent significant predictors of the degree of tumor reduction achieved during PDS. (4) In the future, MLR, especially in combination with other parameters, may be useful in determining prognosis and selecting the best treatment option (PDS or neoadjuvant chemotherapy + interval debulking surgery) for ovarian cancer patients.

The prognostic role of systemic inflammatory markers in apparent early-stage ovarian cancer

BACKGROUND

Few studies analyzed the prognostic role of systemic inflammatory markers in early-stage ovarian cancer. The primary endpoint of the present study was to assess the prognostic impact of baseline inflammatory markers in early-stage ovarian cancer. The secondary endpoints were to compare the disease-free survival (DFS) of inflammatory markers with standard risk factors and to correlate these with BRCA mutational status.

METHODS

Retrospective, single-center, observational study. Patients with FIGO-stage I-II and IIIA1 epithelial ovarian cancer undergoing primary surgery between 10/2012 and 12/2019 were included. Inflammatory markers were evaluated on the results of the complete blood count and coagulation tests, performed before ovarian cancer surgery. The Receiver Operating Characteristic curve was used to determine the optimal cut-off value of different baseline inflammatory biomarkers for the DFS analysis.

RESULTS

Three hundred fifty-nine patients were included in the study period. Baseline neutrophil-lymphocyte ratio (NLR) ≥ 3 and systemic immune inflammation index (SII, defined as platelet x neutrophil-lymphocyte ratio) ≥ 1000 were associated with worse 3 year DFS and baseline SII ≥ 1000 was associated with worse 3 year OS. BRCA-mutated patients with SII ≥ 1000 and with NLR ≥ 3 had significantly worse DFS compared to SII < 1000 and with NLR < 3. FIGO stage > I was the only independent risk factor for higher risk of recurrence.

CONCLUSION

SII ≥ 1000 and NLR ≥ 3 were associated with worse 3 year DFS and SII ≥ 1000 was associated with worse 3 year OS. The subgroups of BRCA-mutated patients with higher inflammation markers (SII ≥ 1000 and NLR ≥ 3) were associated with worse DFS. These findings might be helpful to design personalized treatment and more intensive surveillance.

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 emerging roles of TLR and cGAS signaling in tumorigenesis and progression of ovarian cancer

Ovarian cancer is fatal to women and has a high mortality rate. Although on-going efforts are never stopped in identifying diagnostic and intervention strategies, the disease is so far unable to be well managed. The most important reason for this is the complexity of pathogenesis for OC, and therefore, uncovering the essential molecular biomarkers accompanied with OC progression takes the privilege for OC remission. Inflammation has been reported to participate in the initiation and progression of OC. Both microenvironmental and tumor cell intrinsic inflammatory signals contribute to the malignancy of OC. Inflammation responses can be triggered by various kinds of stimulus, including endogenous damages and exogenous pathogens, which are initially recognized and orchestrated by a series of innate immune system related receptors, especially Toll like receptors, and cyclic GMP-AMP synthase. In this review, we will discuss the roles of innate immune system related receptors, including TLRs and cGAS, and responses both intrinsic and exogenetic in the development and treatment of OC.

Neutrophil-to-Lymphocyte and Platelet-to-Lymphocyte Ratios as Prognostic Biomarkers in Unresectable Hepatocellular Carcinoma Treated with Atezolizumab plus Bevacizumab

Systemic inflammation is a key risk factor for hepatocellular carcinoma (HCC) progression and poor outcomes. Inflammatory markers such as the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) may have prognostic value in HCC treated with standard of care atezolizumab plus bevacizumab (Atezo-Bev). We conducted a multicenter, international retrospective cohort study of patients with unresectable HCC treated with Atezo-Bev to assess the association of NLR and PLR with overall survival (OS), progression-free survival (PFS), and objective response rates. Patients with NLR ≥ 5 had a significantly shorter OS (9.38 vs. 16.79 months, p < 0.001) and PFS (4.90 vs. 7.58 months, p = 0.03) compared to patients with NLR < 5. NLR ≥ 5 was an independent prognosticator of worse OS (HR 2.01, 95% CI 1.22−3.56, p = 0.007) but not PFS. PLR ≥ 300 was also significantly associated with decreased OS (9.38 vs. 15.72 months, p = 0.007) and PFS (3.45 vs. 7.11 months, p = 0.04) compared to PLR < 300, but it was not an independent prognosticator of OS or PFS. NLR and PLR were not associated with objective response or disease control rates. NLR ≥ 5 independently prognosticated worse survival outcomes and is worthy of further study and validation.

Prognostic Factors for Advanced Epithelial Ovarian Cancer Following Primary Cytoreductive Surgery or Neoadjuvant Chemotherapy

AIM

To examine the association between clinicopathological factors and survival in advanced epithelial ovarian, tubal, and primary peritoneal cancers patients who had primary cytoreductive surgery (CRS) and those that received neoadjuvant chemotherapy (NAC).

METHODS

Women who had CRS or NAC between 2008-2017 were included. Association between clinical characteristics, pretreatment imaging, serum markers, surgical and pathological factors, and disease recurrence/progression/death was examined in multivariable analysis.

RESULTS

Two hundred and three women were recruited in this study (CRS 128 women and NAC 75 women). Median overall survival was 33.7 months for the CRS group and 27.9 months for the NAC group (p=0.04). Median progression-free survival was 14.9 months in the CRS group and 12.1 months in the NAC group (p=0.04). For the CRS group, factors independently associated with increased risk of death included primary peritoneal carcinoma (adjusted hazard ratio [aHR] 6.94), stable disease/progression at treatment completion (aHR 5.97), and initial tumor size of more than 12 cm (aHR 1.87). For the NAC group, stable disease/progression after complete treatment (aHR 6.45) and pre-treatment platelet to lymphocyte ratio of more than 310 (aHR 2.20) were significantly associated with an increased risk of death.

CONCLUSIONS

NAC appeared to be a good alternative treatment for stage III/IV tubo-ovarian carcinoma. The worse survival outcome associated with primary peritoneal carcinoma and large initial tumor size in the patients who received CRS suggested that NAC could be an attractive option for those with these characteristics.

Prognostic Abilities of Pre- and Post-Treatment Inflammatory Markers in Oral Squamous Cell Carcinoma: Stepwise Modelling

Background and Objectives: Studies examining the importance of inflammatory markers before treatment as prognosticators of OSCC are available, but information on post-therapy inflammatory markers and their prognostic significance is limited. This study aimed to evaluate the prognostic abilities of pre- and post-treatment inflammatory markers in patients with OSCC. Materials and Methods: In this retrospective analysis, information on 151 OSCC patients’ socio-demographic, clinico-pathological, recurrence, metastasis, and survival data were gathered from clinical records. A multivariable Cox proportional hazards regression (stepwise model) was conducted to identify the prognostic predictors of OS and DFS. The multivariable models’ performances were evaluated using Harrell’s concordance statistics. Results: For OS, high pre-treatment LMR (HR 3.06, 95%CI 1.56, 5.99), and high post-treatment PLC (HR 3.35, 95%CI 1.71, 6.54) and PLR (HR 5.26, 95%CI 2.62, 10.58) were indicative of a poor prognosis. For DFS, high pre-treatment SII (HR 2.59, 95%CI 1.50, 4.48) and high post-treatment PLC (HR 1.92, 95%CI 1.11, 3.32) and PLR (HR 3.44, 95%CI 1.98, 5.07) were associated with increased mortality. The fitness of the OS and DFS stepwise Cox regression models were proven with a time-dependent AUC of 0.8787 and 0.8502, respectively. Conclusions: High pre-treatment levels of LMR and SII and high post-treatment levels of PLC and PLR are independent predictors of a poor prognosis for patients with OSCC.

Prognostic Value of Preoperative Systemic Inflammatory Parameters in Advanced Gastric Cancer

Background: The predictive value of various systemic inflammatory parameters has been reported. However, it is still unclear which inflammatory parameters are the best predictors of prognosis in advanced gastric cancer and what are their mechanisms of action. The aim of this study was to evaluate the association between preoperative systemic inflammatory parameters and overall survival (OS) in patients with advanced gastric cancer. Methods: This retrospective study included 489 patients with stage II/III advanced gastric cancer treated at the National Cancer Center, Republic of Korea, between January 2012 and December 2015. We divided the patients into survivors and non-survivors and compared their clinicopathological characteristics. Univariate and multivariate analyses using the Cox proportional hazards model were performed to evaluate the prognostic value of inflammatory parameters. Results: The absolute lymphocyte count was significantly higher in survivors (2.07 ± 0.62 × 10³/µL vs. 1.88 ± 0.63 × 10³/µL, p = 0.001). The neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) were marginally lower in survivors. Survival analysis revealed that the NLR and PLR were independent prognostic factors for OS. Survival was significantly different depending on NLR and PLR in the same pathologic stages. Conclusions: NLR and PLR were independent prognostic factors for OS in patients with advanced gastric cancer. Regarding single inflammatory parameters, an elevated lymphocyte count was the only factor associated with a favorable prognosis. These results suggest that the enhanced immune function of patients affects their prognosis more than the increased systemic inflammatory response.

Role of reactive thrombocytosis after primary cytoreductive surgery in advanced ovarian cancer

We investigated the incidence of reactive thrombocytosis after maximal cytoreductive surgery in advanced epithelial ovarian cancer (EOC) and its role in patient survival. We retrospectively reviewed the electronic medical records of patients who underwent primary cytoreductive surgery for advanced EOC from 1 January 2012 to 31 December 2017. We analyzed the serum platelet counts at various time points from before surgery, during the peri-operative period, and after each cycle of adjuvant chemotherapy. A total of 474 patients were eligible for the analysis. Among them, 401 patients (84.6%) had FIGO stage III disease status. The most common histology type was serous adenocarcinoma (405 patients, 85.4%). Seventy-nine patients (22.6%) received splenectomy, and optimal cytoreduction was achieved in 326 patients (68.8%). A week after surgery, thrombocytosis was observed in 165 patients (34.8%) in the entire cohort. Higher platelet counts were observed in patients with splenectomy compared with patients without splenectomy. In particular, thrombocytosis on the fifth cycle of adjuvant chemotherapy showed the most significant effects on overall survival in multivariate analysis. In a logistic regression model, splenectomy was significantly attributed to thrombocytosis on the fifth cycle of chemotherapy. Reactive thrombocytosis after primary cytoreductive surgery is associated with poor survival in advanced EOC, particularly when thrombocytosis is observed during adjuvant chemotherapy.

Cellular and Humoral Immune Responses Induced by an HLA Class I-restricted Peptide Cancer Vaccine Targeting WT1 Are Associated With Favorable Clinical Outcomes in Advanced Ovarian Cancer

The HLA-A*24:02-restricted peptide vaccine targeting Wilms' tumor 1 (WT1) (WT1 vaccine) is a promising therapeutic strategy for ovarian cancer; however, its efficacy varies among patients. In this study, we analyzed WT1-specific immune responses in patients with advanced or recurrent ovarian cancer that was refractory to standard chemotherapies and their associations with clinical outcomes. In 25 patients, the WT1 vaccine was administered subcutaneously weekly for 3 months and biweekly thereafter until disease progression or severe adverse events. We assessed Wilms' tumor 1-specific cytotoxic T lymphocytes (WT1-CTLs) and Wilms' tumor 1 peptide-specific immunoglobulin G (WT1235-IgG). After vaccination, the percentage of tetramer high-avidity population of WT1-CTLs among CD8+ T lymphocytes (%tet-hi WT1-CTL) and the WT1235-IgG titer increased significantly, although the values were extremely low or below the limit of detection before vaccination (%tet-hi WT1-CTL: 0.003%-0.103%.; WT1235-IgG: <0.05-0.077 U/mL). Patients who had %tet-hi WT1-CTL of ≥0.25% (n=6) or WT1235-IgG of ≥0.10 U/mL (n=12) had a significantly longer progression-free survival than those of patients in the other groups. In addition, an increase in WT1235-IgG corresponded to a significantly longer progression-free survival (P=0.0496). In patients with systemic inflammation, as evidenced by elevated C-reactive protein levels, the induction of tet-hi WT1-CTL or WT1235-IgG was insufficient. Decreased serum albumin levels, multiple tumor lesions, poor performance status, and excess ascites negatively influenced the clinical effectiveness of the WT1 vaccine. In conclusion, the WT1 vaccine induced antigen-specific cellular and humoral immunity in patients with refractory ovarian cancer. Both %tet-hi WT1-CTL and WT1235-IgG levels are prognostic markers for the WT1 vaccine.

Role of Circulating Biomarkers in Platinum-Resistant Ovarian Cancer

Ovarian cancer (OC) is the second most common cause of death in women with gynecological cancer. Considering the poor prognosis, particularly in the case of platinum-resistant (PtR) disease, a huge effort was made to define new biomarkers able to help physicians in approaching and treating these challenging patients. Currently, most data can be obtained from tumor biopsy samples, but this is not always available and implies a surgical procedure. On the other hand, circulating biomarkers are detected with non-invasive methods, although this might require expensive techniques. Given the fervent hope in their value, here we focused on the most studied circulating biomarkers that could play a role in PtR OC.

Predictive value of preoperative inflammatory markers and serum CA 125 level for surgical outcome in Indonesian women with epithelial ovarian cancer

BACKGROUND

It is essential in the management of ovarian cancers to identify the patients who will benefit from primary complete cytoreductive surgery and those who will rather benefit from neoadjuvant chemotherapy.

OBJECTIVE

To evaluate the predictive value of preoperative inflammatory markers, i.e. platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), red cell distribution width (RDW), and serum CA125 level for surgical outcome in epithelial ovarian cancer.

METHODS

A retrospective study was carried out in Sanglah Hospital, Denpasar, Bali. A total of 54 patients with epithelial ovarian cancer who underwent primary exploratory laparotomy from January 2018 to November 2019 was recruited. Data about clinical characteristics, preoperative inflammatory markers, serum CA125 level, and surgical outcome (optimal vs. suboptimal) was collected from the medical records. Predictive value of the markers were evaluated using ROC curve to determine their accuracy (area under the curve, sensitivity, specificity, positive and negative predictive value).

RESULTS

Mean age, parity, and tumor size did not differ between the study groups (p> 0.05). The group with suboptimal outcome had significantly higher PLR, NLR, MLR, and RDW value (p< 0.05). Using the ROC curve, a cut off value was determined for each predictor, i.e. PLR: 196.50, NLR: 3.34, MLR: 0.24, RDW: 13.19, CA125: 300.85. AUC for each predictor were as follows: PLR 0.718 (95% CI: 0.578-0.859), NLR 0.676 (95% CI: 0.529-0.823), MLR 0.700 (95% CI: 0.560-0.839), RDW 0.712 (95% CI: 0.572-0.852), CA125 0.593 (95% CI: 0.436-0.750). Sensitivity, specificity, and accuracy for predicting suboptimal outcome were as follows: PLR (74.2%, 69.6%, 72.2%), NLR (64.5%, 60.9%, 62.9%), MLR (74.2%, 59.1%, 66.7%), RDW (74.2%, 60.9%, 68.5%), CA125 (54.8%, 60.9%, 57.4%). We have some limitations such as small numbers of sample, we generalized whole kinds of ovarian cancer, and this study does not describe follow-up features.

CONCLUSION

Preoperative serum inflammatory markers (PLR, MLR, and RDW) may serve as useful markers to predict the surgical outcome with fair accuracy in patients with epithelial ovarian cancer.

Prognostic Utility of Platelet-Lymphocyte Ratio, Neutrophil-Lymphocyte Ratio and Monocyte-Lymphocyte Ratio in Head and Neck Cancers: A Detailed PRISMA Compliant Systematic Review and Meta-Analysis

Simple Summary

Inflammation plays a major role in cancer development and progression and has the potential to be used as a prognostic marker in cancer. Previous studies have attempted to evaluate PLR, NLR and MLR as indicators of inflammation/prognostic markers in cancer, but there is no common consensus on its application in clinical practice. The aim of this systematic review and meta-analysis (a) assess the prognostic efficacy of all three prognostic markers in comparison to each other and, (b) investigate the prognostic potential of these three markers in HNC. The study followed PRISMA guidelines, with literature being collated from multiple bibliographic databases. Preliminary and secondary screening were carried out using stringent inclusion/exclusion criteria.

Abstract

Inflammation plays a major role in cancer development and progression and has the potential to be used as a prognostic marker in cancer. Previous studies have attempted to evaluate Platelet-to-lymphocyte ratio (PLR), neutrophil–lymphocyte ratio (NLR) or monocyte–lymphocyte ratio (MLR) as indicators of inflammation/prognostic markers in cancer, but there is no common consensus on their application in clinical practice. The aim of this systematic review and meta-analysis is to (a) assess the prognostic efficacy of all three prognostic markers in comparison to each other and (b) investigate the prognostic potential of these three markers in HNC. The study followed PRISMA guidelines, with the literature being collated from multiple bibliographic databases. Preliminary and secondary screening were carried out using stringent inclusion/exclusion criteria. Meta-analysis was carried out on selected studies using CMA software and HR as the pooled effect size metric. A total of 49 studies were included in the study. The pooled HR values of PLR, NLR and MLR indicated that they were significantly correlated with poorer OS. The pooled effect estimates for PLR, NLR and MLR were 1.461 (95% CI 1.329–1.674), 1.639 (95% CI 1.429–1.880) and 1.002 (95% CI 0.720–1.396), respectively. Significant between-study heterogeneity was observed in the meta-analysis of all three. The results of this study suggest that PLR, NLR and MLR ratios can be powerful prognostic markers in head and neck cancers that can guide treatment. Further evidence from large-scale clinical studies on patient cohorts are required before they can be incorporated as a part of the clinical method. PROSPERO Registration ID: CRD42019121008

Clinical indicators useful in decision-making about palliative chemotherapy for end-of-life ovarian cancer patients

PURPOSE

Chemotherapy for end-of-life ovarian cancer patients is a complex and delicate problem. We evaluated whether active palliative chemotherapy is beneficial for such patients using inflammatory parameters, nutritional indicators, and the PPI (Palliative Prognostic Index), which predicts short-term prognosis.

METHODS

Thirty-six patients among 49 patients who died from ovarian cancer from 2014 to 2019 at our hospital were enrolled, whom clinical and laboratory data just before starting their final chemotherapy regimen could be obtained. Associations between the time from last chemotherapy to death and the following parameters were investigated: age, performance status, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio, Modified Glasgow Prognostic Score (mGPS), Prognostic Nutritional Index (PNI) score, and PPI score.

RESULTS

The median age was 57 (range 19-80) years. The median time from last chemotherapy to death was 45.5 (range 11-110) days. Eight patients (22%) died within 30 days of their last chemotherapy regimen. In univariate analysis, median survival time was significantly shorter in patients with higher NLR, mGPS 2, and higher PPI values; NLR (≥ median vs. < median): 32 (range 11-80) days vs. 54 (range 35-110) days, p = 0.008; mGPS (2 vs. 0-1): 42 (range 11-80) days vs. 96 (range 49-110) days, p = 0.012; and PPI score (≥ median vs. < median): 38 (range 11-74) days vs. 60 (range 18-110) days, p = 0.005. However, in multivariate analysis, no factors were identified as independent prognostic factors for survival.

CONCLUSION

Parameters, such as NLR, mGPS, and PPI score, may be indicators for discontinuation of palliative chemotherapy, and may be useful for maximizing end-of-life care for ovarian cancer patients.

Artificial Intelligence Based on Blood Biomarkers Including CTCs Predicts Outcomes in Epithelial Ovarian Cancer: A Prospective Study

Objective

We aimed to develop an ovarian cancer-specific predictive framework for clinical use platinum-sensitivity and prognosis using machine learning methods based on multiple biomarkers, including circulating tumor cells (CTCs).

Patients and Methods

We enrolled 156 epithelial ovarian cancer (EOC) patients, randomly assigned into the training and validation cohorts. Eight machine learning classifiers, including Random Forest (RF), Support Vector Machine, Gradient Boosting Machine, Conditional RF, Neural Network, Naive Bayes, Elastic Net, and Logistic Regression, were used to derive predictive information from 11 peripheral blood parameters, including CTCs. Through the advanced CanPatrol CTC-enrichment technique, we detect CTCs and classify them into subpopulations: epithelial, mesenchymal, and hybrids. Survival curves were generated by Kaplan–Meier method and calculated through the Log rank test.

Results

Machine learning techniques, especially the Random Forest classifier, were superior to conventional regression-based analyses in predicting multiple clinical parameters related to EOC. The values for the receiver operating characteristic (ROC) curve for segregating EOC with advanced clinical stages and platinum-sensitivity were 0.796 (95% CI, 0.727–0.866) and 0.809 (95% CI, 0.742–0.876), respectively. Stepwise, we used the unsupervised clustering analysis to identify EOC subgroups with significantly worse overall survival (OS), especially in the advanced-stage group with the p-value of 0.0018 (HR, 2.716; 95% CI, 1.602–4.605) for progression-free survival (PFS) and 0.0037 (HR, 2.359; 95% CI, 1.752–6.390) for overall survival (OS).

Conclusion

Machine learning systems could provide risk stratification for EOC patients before initial intervention through blood variables, including circulating tumor cells. The predictive algorithms could facilitate personalized treatment options through promising pre-treatment stratification of EOC patients.

Trial registration

ChiCTR-DDD-16009601 Registered 25 October 2016.

The Prognostic Value of Preoperative Systemic Inflammatory Response Index (SIRI) in Patients With High-Grade Glioma and the Establishment of a Nomogram

Background

The predictive value of systemic inflammatory response index (SIRI) was confirmed in some malignant tumors. However, few studies investigated the prognostic value of SIRI in high-grade gliomas. This study aimed to evaluate the prognostic relationship of preoperative SIRI in high-grade gliomas and established a nomogram accordingly.

Methods

Data of operable high-grade glioma patients were analyzed. Kaplan-Meier, log-rank test, cox regression and propensity score matching (PSM) analysis were used to analyze survival. ROC curve and area under the curve (AUC) were used to compare the ability of preoperative SIRI, neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and monocyte-lymphocyte ratio (MLR) to predict prognosis. A nomogram based on the results was established. The consistency index (C-index) was calculated and a calibration curve was drawn.The prediction effect of the nomogram and WHO grade was compared by AUC.

Results

A total of 105 patients were included. Kaplan-Meier survival analysis showed that the overall survival (OS) of grade III gliomas patients with lower preoperative SIRI (SIRI<1.26) was significantly prolonged (p=0.037), and grade IV gliomas patients with lower preoperative SIRI had a tendency to obtain longer OS (p = 0.107). Cox regression showed preoperative SIRI was an independent prognostic factor for grade IV and grade III glioma, however, in IDH mutant-type IV gliomas, patients with lower SIRI only showed a tendency to obtain better OS. Similar results were obtained in PSM. The prognostic value of SIRI were better than PLR and MLR by ROC analysis. And in grade IV gliomas, the predictive value of SIRI was better than NLR. The nomogram established based on preoperative SIRI, age, extent of resection, number of gliomas, MGMT methylation status and histological types (only in grade III gliomas) could predict the prognosis more accurately.

Conclusion

SIRI was valuable for prognosis prediction in high-grade glioma. The nomogram covering SIRI could more accurately predict the survival rate in operable high-grade glioma patients.

The role of inflammation biomarkers in differential diagnosis of pelvic tumours of ovarian origin: a single-centre observational study

Aim of the study

Our aim was to analyse the feasibility of white blood cell and platelet counts along with their ratios as a prognostic factor in patients who underwent surgery for ovarian mass.

Material and methods

We retrospectively studied the patients admitted in the Department of Gynaecology due to adnexal mass. The potential association of the neutrophil-to-lymphocyte-ratio (NLR), neutrophil-to-monocyte (NMR), platelet-to-lymphocyte (PLR), lymphocyte-to-monocyte (LMR), monocyte-to-platelet, and malignancy was evaluated.

Results

Patients with malignant tumours were found with significantly higher ratios of NLR (p < 0.001) and PLR (p < 0.001) and lower LMR ratio (p < 0.001) compared to those with benign tumours. Furthermore, higher lymphocyte count (p = 0.04) and platelet count (p = 0.004) were found in cancer patients when compared with borderline tumours. No significant variations were detected regarding white blood cell count (p = 0.238), NMR ratio (p = 0.28), platelet-to-neutrophil ratio (p = 0.12), and platelet-to-monocyte ratio (p = 0.34).

Conclusions

Inflammation biomarker ratios can easily and inexpensive assist in distinguishing malignant ovarian tumours from benign ones.

Development and Validation of a Nomogram for the Estimation of Response to Platinum-Based Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical Cancer

Purpose

Non-response to platinum-based neoadjuvant chemotherapy (non-rNACT) reduces the surgical outcomes of patients with locally advanced cervical cancer (LACC). The development of an accurate preoperative method to predict a patient’s response to NACT (rNACT) could help surgeons to manage therapeutic intervention in a more appropriate manner.

Patients and Methods

We recruited a total of 341 consecutive patients who underwent platinum-based NACT followed by radical surgery (RS) at the Hubei Cancer Hospital between January 1, 2010 and April 1, 2020. All patients had been diagnosed with stage Ib2-IIa2 cervical cancer in accordance with the 2009 International Federation of Gynecology and Obstetrics (FIGO) classification system. First, we created a training cohort of patients who underwent NACT+RS (n=239) to develop a nomogram. We then validated the performance of the nomogram in a validation cohort of patients who underwent NACT+RS (n=102). Data analysis was conducted from October 1, 2020. First, we determined overall survival (OS) and progression-free survival (PFS) after NACT+RS. Multivariate logistic regression was then used to identify independent risk factors that were associated with the response to rNACT; these were then incorporated into the nomogram.

Results

The analysis identified several significant differences between the rNACT and non-rNACT groups, including neutrophil–lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), lymphocyte monocyte ratio (LMR), platelet count, and FIGO stage. The performance of the rNACT nomogram score exhibited a robust C-index of 0.76 (95% confidence interval [CI]: 0.65 to 0.87) in the training cohort and high C-index of 0.71 (95% CI: 0.62 to 0.78) in the validation cohort. Clinical impact curves showed that the nomogram had good predictive ability.

Conclusion

We successfully established an accurate and optimized nomogram that could be used preoperatively to predict rNACT in patients with LACC. This model can be used to evaluate the risk of an individual patient experiencing rNACT and therefore facilitate the choice of treatment.

CAMK2N1/RUNX3 methylation is an independent prognostic biomarker for progression-free and overall survival of platinum-sensitive epithelial ovarian cancer patients

BACKGROUND

To date, no predictive or prognostic molecular biomarkers except BRCA mutations are clinically established for epithelial ovarian cancer (EOC) despite being the deadliest gynecological malignancy. Aim of this biomarker study was the analysis of DNA methylation biomarkers for their prognostic value independent from clinical variables in a heterogeneous cohort of 203 EOC patients from two university medical centers.

RESULTS

The marker combination CAMK2N1/RUNX3 exhibited a significant prognostic value for progression-free (PFS) and overall survival (OS) of sporadic platinum-sensitive EOC (n = 188) both in univariate Kaplan-Meier (LogRank p < 0.05) and multivariate Cox regression analysis (p < 0.05; hazard ratio HR = 1.587). KRT86 methylation showed a prognostic value only in univariate analysis because of an association with FIGO staging (Fisher's exact test p < 0.01). Thus, it may represent a marker for EOC staging. Dichotomous prognostic values were observed for KATNAL2 methylation depending on BRCA aberrations. KATNAL2 methylation exhibited a negative prognostic value for PFS in sporadic EOC patients without BRCA1 methylation (HR 1.591, p = 0.012) but positive prognostic value in sporadic EOC with BRCA1 methylation (HR 0.332, p = 0.04) or BRCA-mutated EOC (HR 0.620, n.s.).

CONCLUSION

The retrospective analysis of 188 sporadic platinum-sensitive EOC proved an independent prognostic value of the methylation marker combination CAMK2N1/RUNX3 for PFS and OS. If validated prospectively this combination may identify EOC patients with worse prognosis after standard therapy potentially benefiting from intensive follow-up, maintenance therapies or inclusion in therapeutic studies. The dichotomous prognostic value of KATNAL2 should be validated in larger sample sets of EOC.

Inexpensive Systemic Inflammatory Biomarkers in Ovarian Cancer: An Umbrella Systematic Review of 17 Prognostic Meta-Analyses

The association of several inflammation-based biomarkers [lymphocyte-to-monocyte, neutrophil-to-lymphocyte, and platelet-to-lymphocyte ratios (LMR, NLR, and PLR, respectively)] with the survival of epithelial ovarian cancer (EOC) patients has been extensively investigated in several systematic reviews and meta-analyses (MAs) of observational studies. The aim of this umbrella systematic review is to appraise all available results in published MAs that explored the association between these biomarkers and EOC outcomes. An umbrella systematic review of the current evidence for systemic inflammatory biomarkers in the peripheral blood of EOC patients was performed by searching several databases including PubMed/Medline and Web of Science. The quality of the MAs was appraised using the AMSTAR-2 tool as well as other qualitative criteria. The evidence was graded from convincing (Class I) to weak (Class IV). Our umbrella review appraised 17 MAs of retrospective studies (range: 7-16) with a number of enrolled patients ranging from 1,636 to 4,910 patients in each MA. All these MAs demonstrated that pretreatment high NLR and PLR, as well as low LMR, were independent predictors of poor overall survival and progression-free survival in EOC. Nearly all published MAs were conducted by Chinese researchers (16/17) and were redundant in their character. Another issue in these MAs is the absence of prior PROSPERO database registration as well as the earlier exclusion of the gray literature. On the other hand, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-analyses Of Observational Studies in Epidemiology (MOOSE)-based reporting guidelines were used in nine out of the 17 MAs. A good number of MAs have transparently provided funding acknowledgment. The AMSTAR-2-based assessment showed low quality in 11 out of the 17 reviewed MAs. This negative rating was largely due to the absence of critical domains. Finally, all evaluated MAs were rated as Class III or IV (suggestive and weak, respectively). Despite the power of MAs in increasing sampling and precision, the quality of the current non-randomized evidence on this topic is still weak.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO, identifier CRD42020201493.

Factors significantly associated with COVID-19 severity in symptomatic patients: A retrospective single-center study

Introduction

The severity of coronavirus disease (COVID-19) in Japanese patients is unreported. We retrospectively examined significant factors associated with disease severity in symptomatic COVID-19 patients (COVID-Pts) admitted to our institution between February 20 and April 30, 2020.

Methods

All patients were diagnosed based on the genetic detection of severe acute respiratory syndrome coronavirus 2. Information on the initial symptoms, laboratory data, and computed tomography (CT) images at hospitalization were collected from the patients’ records. COVID-Pts were categorized as those with critical or severe illness (Pts-CSI) or those with moderate or mild illness (Pt-MMI). All statistical analyses were performed using R software.

Results

Data from 61 patients (16 Pt–CSI, 45 Pt-MMI), including 58 Japanese and three East Asians, were analyzed. Pt–CSI were significantly older and had hypertension or diabetes than Pt-MMI (P < 0.001, 0.014 and < 0.001, respectively). Serum albumin levels were significantly lower in Pt–CSI than in Pt-MMI (P < 0.001), whereas the neutrophil-to-lymphocyte ratio and C-reactive protein level were significantly higher in Pt–CSI than in Pt-MMI (P < 0.001 and P < 0.001, respectively). In the CT images of 60 patients, bilateral lung lesions were more frequently observed in Pt–CSI than in Pt-MMI (P = 0.013). Among the 16 Pt–CSI, 15 received antiviral therapy, 12 received tocilizumab, five underwent methylprednisolone treatment, six received mechanical ventilation, and one died.

Conclusions

The illness severity of Japanese COVID-Pts was associated with older age, hypertension and/or diabetes, low serum albumin, high neutrophil-to-lymphocyte ratio, and C-reactive protein.

Identification of a Novel Prognostic Classification Model in Epithelial Ovarian Cancer by Cluster Analysis

Background

Heterogeneity plays an essential role in ovarian cancer. Patients with different clinical features may manifest diverse patterns in diagnosis, treatment, and prognosis. The aim of the present study was to identify a novel ovarian cancer-classification model through cluster analysis and assess its significance in prognosis.

Methods

Among patients diagnosed with ovarian cancer in the Women's Hospital School of Medicine, Zhejiang University between January 2014 and May 2019, 328 patients were included in a K-mean cluster analysis and 176 patients followed up. Major clinical indicators, overall survival, and recurrence-free survival in different subgroups were compared.

Results

Two clusters for ovarian cancer were identified and grouped as noninflammatory (n=247) and inflammatory subtypes (n=81). Compared with the noninflammatory subgroup, the inflammatory subgroup presented a statistically significantly higher level of median CRP (median (IQR) 20.4 [7.8-47.3] vs 1.2 [0.4-3.5], p<0.001), neutrophil percentage (median (IQR) 76.9 [72.6-81.3] vs 66.2 [61.0-72.0], p<0.001), leukocyte count (median (IQR) 8.9 [7.0-10.0] vs 6.0 [5.1-7.2], p<0.001), fibrinogen (median (IQR) 5.0 [4.4-6.0] vs 3.4 [2.9-3.9], p<0.001), and platelet count (median (IQR) 324 [270-405] vs 229 [181.5-269], p<0.001). During a median follow-up of 52 months, 21 participants (16.3%) died in the noninflammatory group, while 14 (29.8%) died in the inflammatory group (HR 2.15, 95% CI 1.09-4.23; p=0.024). Death/recurrence was observed in 38 (29.5%) patients from the noninflammatory group and 25 (53.2%) from the inflammatory group (HR 2.32, 95% CI 1.40-3.85; p<0.001).

Conclusion

Our study revealed a novel classification model of ovarian cancer that features inflammation. Inflammation predicts shorter survival and poorer prognosis, suggesting the significance of inflammation in the management of ovarian cancer.

The Combination of Plasma Fibrinogen Concentration and Neutrophil Lymphocyte Ratio (F-NLR) as a Prognostic Factor of Epithelial Ovarian Cancer

Objective

Growing epidemiological evidence supports that coagulation cascades and cancer-associated inflammation are associated with recurrence and survival of epithelial ovarian cancer (EOC). This study aimed to assess the clinical significance of the combination of plasm fibrinogen and neutrophil lymphocyte ratio (F-NLR) score to predict EOC prognosis, including recurrence, disease-free survival (DFS), and overall survival (OS).

Patients and Methods

We retrospectively enrolled 281 EOC patients who underwent surgery at our institution. According to receiver operating characteristic curve, cut-off values of fibrinogen and NLR were set at 3.44 g/L and 2.46, respectively, to predict recurrence. The F-NLR score was then classified into three groups as follows: F-NLR score of 2: both hyperfibrinogenemia (>3.44 mg/dL) and high NLR (>2.46), F-NLR score of 1: either hyperfibrinogenemia or high NLR, and F-NLR score of 0: neither of the abnormalities. Continuous and categorical variables were compared using T-test and chi-square test among F-NLR groups. The Cox hazard regression model was used to assess prognostic factors. Both DFS and OS curves were generated by Kaplan–Meier method.

Results

The analyses showed that F-NLR was significantly associated with clinical stage (P=0.000), lymphatic metastasis (P=0.001), and carbohydrate antigen (CA) 125 level (P=0.048). The F-NLR (hazard ratio=2.211; 95% confidence interval=1.251–6.394; P=0.002) was demonstrated as an independent prognostic factor for survival of EOC. The DFS rates in F-NLR groups 0, 1, and 2 were 68.5%, 47.7%, and 31.7%, respectively (P=0.000); the OS rates in previous groups were 75.9%, 51.4%, and 34.2% (P=0.000) and the 5-year survival times (mean±SD, months) were 64.24±24.21, 60.27±22.65, and 46.09±20.32, respectively. By subgroup analysis, the F-NLR was significantly associated with DFS and OS among patients with advanced tumor stage (Stage III or IV) or lymphatic metastasis.

Conclusion

The pre-operative F-NLR score, a novel inflammation-based grading system, was a promising prognosis predictor for EOC patients, especially those with advanced clinical stage and those with lymph node metastasis.

Prognostic value of neutrophil-to-lymphocyte ratio in early-stage ovarian clear-cell carcinoma

Objectives

There is increasing evidence that systemic inflammatory response (SIR) markers are prognostic factors for various types of cancers. This is the first study to evaluate the usefulness of SIR markers for the prognosis of early-stage ovarian clear-cell carcinoma (OCCC).

Methods

We retrospectively investigated 83 patients diagnosed with stage I–II OCCC who underwent surgery between 2005 and 2017. Initially, receiver operating characteristic curve analysis for overall survival (OS) was used to determine optimal cut-off values for neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR). Patients were stratified into 2 groups by the cut-off values (NLR=3.26, PLR=160). Univariate and multivariate analyses were performed to elucidate the significance of SIR markers as prognostic factors.

Results

In the median follow-up period of 64.1 months, 16 patients experienced recurrence, and nine patients died. The Kaplan-Meier curve showed that OS of the NLR-low group was significantly longer than the NLR-high group (p=0.021). There was no significant difference in progression-free survival between the 2 groups (p=0.668), but the post-recurrence survival of the NLR-low group was significantly longer than the NLR-high group (p=0.019). Furthermore, multivariate analysis showed that increase in NLR is a significant independent prognostic factor for poor prognosis (hazard ratio=7.437, p=0.017). There was no significant difference between PLR-low and PLR-high group.

Conclusion

Results suggest that NLR can be a significant independent prognostic factor for early-stage OCCC.

Accumulation of blood-circulating PD-L1-expressing M-MDSCs and monocytes/macrophages in pretreatment ovarian cancer patients is associated with soluble PD-L1

BACKGROUND

Previous studies have shown clinical relevance of programmed death-ligand 1 (PD-L1) and soluble PD-L1 (sPD-L1) in human cancers. However, still contradictory results exist. Our aim was evaluation of PD-L1-expressing monocytic myeloid-derived suppressor cells (M-MDSCs), monocytes/macrophages (MO/MA), tumour cells (TC) and immune/inflammatory cells (IC) as well as investigation of the sPD-L1 in ovarian cancer (OC) patients.

METHODS

The group of 74 pretreatment women were enrollment to the study. The expression of PD-L1 on M-MDSCS and MO/MA was assessed by flow cytometry. The profile of sPD-L1 was examined with ELISA. The expression of PD-L1 in mononuclear cells (MCs) was analyzed using real time PCR. PD-L1 immunohistochemical analysis was prepared on TC and IC. An in silico validation of prognostic significance of PD-L1 mRNA expression was performed based microarray datasets.

RESULTS

OC patients had significantly higher frequency of MO/MA versus M-MDSC in the blood, ascites and tumour (each p < 0.0001). In contrast, PD-L1 expression was higher on M-MDSCs versus MO/MA in the blood and ascites (each p < 0.0001), but not in the tumour (p > 0.05). Significantly higher accumulation of blood-circulating M-MDSC, MO/MA, PD-L1⁺M-MDSC, PD-L1⁺MO/MA and sPD-L1 was observed in patients versus control (p < 0.001, p < 0.05, p < 0.001, p < 0.001 and p < 0.0001, respectively). Accumulation of these factors was clinicopathologic-independent (p > 0.05). The expression of PD-L1 was significantly higher on IC versus TC (p < 0.0001) and was clinicopathologic-independent (p > 0.05) except higher level of PD-L1⁺TC in the endometrioid versus mucinous tumours. Interestingly, blood-circulating sPD-L1 positively correlated with PD-L1⁺M-MDSCs (p = 0.03) and PD-L1⁺MO/MA (p = 0.02) in the blood but not with these cells in the ascites and tumours nor with PD-L1⁺TC/IC (each p > 0.05). PD-L1 and sPD-L1 were not predictors of overall survival (OS; each p > 0.05). Further validation revealed no association between PD-L1 mRNA expression and OS in large independent OC patient cohort (n = 655, p > 0.05).

CONCLUSIONS

Although PD-L1 may not be a prognostic factor for OC, our study demonstrated impaired immunity manifested by up-regulation of PD-L1/sPD-L1. Furthermore, there was a positive association between PD-L1⁺ myeloid cells and sPD-L1 in the blood, suggesting that sPD-L1 may be a noninvasive surrogate marker for PD-L1⁺myeloid cells immunomonitoring in OC. Overall, these data should be under consideration during future clinical studies/trials.

The Preoperative Prognostic Nutritional Index for the Prediction of Outcomes in Patients with Early-Stage Ovarian Clear Cell Carcinoma

The prognostic nutritional index (PNI), which reflects preoperative malnutrition, is useful for predicting the incidence of postoperative complications and has been reported in recent years to predict the long-term prognosis of various malignancies. The purpose of this study was to clarify the significance of PNI as a prognostic factor for early-stage clear cell ovarian carcinoma. A total of 82 patients with stage I-II (FIGO 2014) ovarian clear cell carcinoma undergoing primary surgery at our hospital from January 2005 to December 2017 were enrolled. PNI was calculated using the formula: 10 × serum albumin (g/ dL) + 0.005 × peripheral blood lymphocyte count (/mm3). Preoperative PNI exhibited relatively high area under the curve value (0.709) for 5 year survival, and the optimal cutoff value was 46.5. The overall survival was significantly shorter in the PNI-low group than in the PNI-high group. Multivariate analysis showed that high PNI was a significant independent prognostic factor for favorable prognosis (hazard ratio = 0.102, p = 0.010). There was no significant difference in recurrence-free survival between the two groups (p = 0.220), but the postrecurrence survival was significantly longer in the PNI-high group than in the PNI-low group (p = 0.0383). The preoperative PNI was a useful predictor of prognosis, even in early-stage ovarian clear cell carcinoma.

The Ovarian Cancer Tumor Immune Microenvironment (TIME) as Target for Therapy: A Focus on Innate Immunity Cells as Therapeutic Effectors

Ovarian cancer (OvCA) accounts for one of the leading causes of death from gynecologic malignancy. Despite progress in therapy improvements in OvCA, most patients develop a recurrence after first-line treatments, dependent on the tumor and non-tumor complexity/heterogeneity of the neoplasm and its surrounding tumor microenvironment (TME). The TME has gained greater attention in the design of specific therapies within the new era of immunotherapy. It is now clear that the immune contexture in OvCA, here referred as tumor immune microenvironment (TIME), acts as a crucial orchestrator of OvCA progression, thus representing a necessary target for combined therapies. Currently, several advancements of antitumor immune responses in OvCA are based on the characterization of tumor-infiltrating lymphocytes, which have been shown to correlate with a significantly improved clinical outcome. Here, we reviewed the literature on selected TIME components of OvCA, such as macrophages, neutrophils, γδ T lymphocytes, and natural killer (NK) cells; these cells can have a role in either supporting or limiting OvCA, depending on the TIME stimuli. We also reviewed and discussed the major (immune)-therapeutic approaches currently employed to target and/or potentiate macrophages, neutrophils, γδ T lymphocytes, and NK cells in the OvCA context.

The role of changes in systemic inflammatory response markers during neoadjuvant chemotherapy in predicting suboptimal surgery in ovarian cancer

AIM

The aim of this study was to investigate the possibility of using the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio, and platelet count and their dynamic changes during chemotherapy to predict suboptimal interval debulking surgery (IDS) in stage IIIC-IVA serous ovarian cancer (OC).

METHOD

Patients who underwent IDS after neoadjuvant chemotherapy (NAC) for stage IIIC-IVA serous OC at 3 centers between January 2008 and March 2018 were analyzed retrospectively. All women with complete blood counts both at diagnosis (T0) and after the completion of NAC but prior to IDS (T1) were included. An average of 3 weeks passed between IDS and the last cycle of NAC.

RESULTS

A total of 214 patients were found suitable for the study. Suboptimal surgery was performed in 25.2% of the patients and optimal surgery was performed in 74.8%. The rate of change in NLR was calculated as [(NLR T0 - NLR T1)/NLR T0] × 100. A higher rate of change in NLR was found in the optimal surgery group. Recovery of thrombocytosis (When platelet count before NAC was >400,000/mm³, recovery of thrombocytosis was defined as ≤400,000/mm³ after NAC.) was found to have 85.7% sensitivity and 64.8% specificity in predicting suboptimal surgery (P < 0.001). According to both multivariate and univariate regression analysis, a large change in NLR (>17%) and recovery of thrombocytosis significantly predicted suboptimal surgery.

CONCLUSION

To identify the likelihood of suboptimal surgery in advanced stage OC patients who undergo IDS after NAC, the dynamic change in NLR values can be examined.

Periodontal disease, sleep duration, and white blood cell markers in the 2009 to 2014 National Health and Nutrition Examination Surveys

BACKGROUND

Elevated levels of inflammatory biomarkers are consistently associated with chronic conditions, for which periodontitis and sleep are established risk factors. We examined the relationships between periodontitis, hours of sleep and white blood cell (WBC) markers among a nationally representative sample of US adults.

METHODS

Cross-sectional study using existing demographic, examination, laboratory and questionnaire data on 11,813 participants (5,814 men and 5,999 women, mean age ± SE; range: 52.74 ± 0.24; 30 to 80 years) from the 2009 to 2014 National Health and Nutrition Examination Surveys. Unadjusted, sex- and age-adjusted, as well as fully adjusted linear and logistic regression models were conducted in addition to generalized structural equations models, while considering sampling design complexity. β, odds ratios with their 95% confidence intervals, indirect effects and mediation proportions were estimated.

RESULTS

The weighted mean WBC count was 7,130 cells/µL, with the WBC 5-part differential estimated in terms of percentages of lymphocytes (29.50%), monocytes (7.99%), neutrophils (59.03%), eosinophils (2.84%), and basophils (71.88%). Furthermore, 36.2% of participants reported <7 hours of sleep and 49.8% had periodontitis. In fully adjusted models controlling for sociodemographic, lifestyle, and health characteristics, neither WBC markers nor periodontitis were related to hours of sleep. By contrast, periodontitis was directly related to WBC count and %neutrophils and inversely related to %lymphocytes, especially among men. However, the relationship of periodontitis with %neutrophils and %lymphocytes may be modified by hours of sleep, as it was specific to individuals reporting ≥7 hours of sleep.

CONCLUSION

Periodontitis may be directly related to WBC count and %neutrophils and inversely related to %lymphocytes, especially among men and individuals reporting ≥7 hours of sleep, with implications for primary and secondary prevention.

Comprehensive Comparative Analysis of Prognostic Value of Systemic Inflammatory Biomarkers for Patients with Stage II/III Colon Cancer

BACKGROUND

Among numerous systemic inflammatory biomarkers, it remains unclear which is the most prognostic for patients with stage II/III colon cancer. We aimed to compare the prognostic significance of systemic inflammatory biomarkers among patients with stage II/III colon cancer.

METHODS

We included 1303 patients with stage II/III colon cancer who underwent potentially curative resection from July 2004 to December 2013. Sixteen systemic inflammatory biomarkers-derived from combinations of neutrophils, lymphocytes, monocytes, platelets, C-reactive protein (CRP), and albumin-were compared to identify the biomarker most associated with overall survival (OS) and disease-free survival (DFS) using receiver operating characteristic (ROC) curve analysis.

RESULTS

Nine inflammatory biomarkers were predictive for OS, among which lymphocyte-to-CRP ratio (LCR), CRP-to-albumin ratio (CAR), neutrophil × CRP, monocyte × CRP, and platelet × CRP were also predictive for DFS. Among these five inflammatory biomarkers, the area under the curve (AUC) value was highest (0.630) for LCR, being significantly higher than that for neutrophil × CRP (P = 0.010), monocyte × CRP (P = 0.007), or platelet × CRP (P = 0.010) for OS. When the prognostic impact of LCR and CAR were analyzed by multivariate analysis, only LCR was an independent predictor of both OS [hazard ratio (HR), 1.77; 95% confidence interval (CI), 1.23-2.60; P = 0.002] and DFS (HR, 1.29; 95% CI, 1.00-1.66; P = 0.048).

CONCLUSIONS

LCR may be the most useful predictive factor for OS and DFS in patients with stage II or III colon cancer.

Prognostic significance of neutrophil-lymphocyte ratio (NLR) in patients with ovarian cancer: A systematic review and meta-analysis

The prognostic role of neutrophil to lymphocyte ratio (NLR) in patients with ovarian cancer remains inconsistent. This meta-analysis was conducted to evaluate the predictive value of this biomarker for prognoses in ovarian cancer patients.We systematically searched PubMed, Web of Science, and Embase for eligible studies embracing multivariate results. The Newcastle-Ottawa Scale were used to assess the study quality. Pooled hazard ratios (HRs), and 95% confidence intervals (CIs) were calculated.Ten studies involving 2919 patients were included in this meta-analysis. In multivariate analysis, the group with higher NLR had worse overall survival (OS) (HR = 1.34, 95% CI = 1.16-1.54) and shorter PFS (HR = 1.36, 95% CI = 1.17-1.57) than the control group. Furthermore, PLR values higher than the cut-off were associated with not only poorer OS (HR = 1.97, 95% CI = 1.61-2.40) but also more unfavorable PFS (HR = 1.79, 95% CI = 1.46-2.20). Univariate analysis also indicated the same results. Additionally, subgroup analysis showed that when the cut-off values for NLR and PLR were higher, their predictive effects became stronger.This comprehensive meta-analysis suggested that the values of inflammatory marker of NLR was associated with ovarian cancer survival. Therefore, inflammatory markers can potentially serve as prognostic biomarkers.

Primary peritoneal serous papillary carcinoma: a case series

PURPOSE

To present the clinical and laboratory characteristics, as well as the management, of patients with primary peritoneal serous papillary carcinoma (PPSPC).

METHODS

This is a retrospective study of 19 patients with PPSPC who underwent debulking surgery followed by first line chemotherapy and were managed in Metaxa Memorial Cancer Hospital between January 2002 and December 2017.

RESULTS

The median age of the patients was found to be 66 years (range 44-76 years). Clinical presentation of PPSPC included abdominal distention and pain, constipation, as well as loss of appetite and weight gain. Two of the patients did not mention any symptomatology and the disease was suspected by an abnormal cervical smear and elevated CA125 levels respectively. Biomarkers measurement during the initial management of the patients revealed abnormal values of CA125 for all the participants (median value 565 U/ml). Human epididymis secretory protein 4 (HE4) and ratios of blood count were also measured. Perioperative Peritoneal Cancer Index ranged from 6 to 20. Optimal debulking was achieved in 5 cases. All patients were staged as IIIC and IVA PPSPC and received standard chemotherapy with paclitaxel and carboplatin, whereas bevacizumab was added in the 5 most recent cases. Median overall survival was 29 months.

CONCLUSION

PPSPC is a rare malignancy, the management of which should take place in tertiary oncology centers.

Prognostic significance of blood inflammatory biomarkers NLR, PLR, and LMR in cancer-A protocol for systematic review and meta-analysis

BACKGROUND

The neutrophil-lymphocyte-ratio, platelet-lymphocyte-ratio, and monocyte-lymphocyte-ratio have been explored as a simple, inexpensive, and effective method for cancer prognosis. However, there are no studies that have investigated the comparative utility of these markers, in multiple cancers.

METHODS

The preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) guidelines were used to design this meta-analysis protocol. The final study will also be conducted under the PRISMA guidelines for systematic reviews and meta-analyses. The core bibliographic database search will be carried out by 2 reviewers working individually, with each conducting an initial screening based on titles and abstracts. The shortlisted articles will be selected for review and quantitative analysis, based on predefined inclusion and exclusion criteria. Study characteristics, relevant clinicopathological characteristics, and statistical data required for meta-analysis (hazard ratios [HRs] and 95% confidence intervals [CIs]) will be extracted and compiled into a MS Excel datasheet. Meta-analysis will be performed, using a random-effects model, and the results (pooled HR and 95% CI) will be presented in the form of a forest plot. Publication bias will also be assessed by use of Egger bias indicator test and funnel plot symmetry. If statistical data from included studies is insufficient, a qualitative literature review will be pursued.PROSPERO registration: PROSPERO CRD42019121008.