Preoperative neutrophil-to-lymphocyte, platelet-to-lymphocyte and monocyte-to-lymphocyte ratio as a prognostic factor in non-endometrioid endometrial cancer

Esketamine mitigates systemic inflammation via modulating phenotypic transformation of monocytes in patients undergoing thoracic surgery

AIM

To assess esketamine's anti-inflammatory effects during thoracic surgery and its modulation of immune responses.

MATERIAL AND METHODS

In a randomized trial, 64 of 73 patients undergoing thoracic surgery were allocated into the Control (not receiving esketamine) or the ES-KTM group (intraoperative esketamine infusion). Blood routine tests were conducted one day before (T0) and one day after the surgery (T3). Plasma levels of tumor necrosis factor-α (TNF-α) and interleukine-10 (IL-10) were analyzed by ELISA, and cell surface markers including CD14, CD16, CD163, CD40, CX3CR1, CD206 were tested by cytometry at the entry to the surgical room (T1) and the skin closure (T2). For the in vitro study, esketamine at 10 μM was employed to treat the lipopolysaccharide (LPS) stimulated macrophage cell line-Raw264.7, and its effects were tested by cytometry and RNA sequencing analysis.

KEY FINDINGS

Esketamine application reduces the count of neutrophils and monocytes, neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and systemic inflammatory index (SII), and enhances the lymphocyte counting and lymphocyte to monocyte ratio (LMR). Then, esketamine application decreases the plasma TNF-α levels, while maintaining the IL-10 level in comparison with the Control group. Additionally, esketamine reduced the proportion of intermediate monocytes, downregulates the expressions of CD16, CD40 and CX3CR1, while upregulates the CD206 expression. Finally, in the in-vitro study, esketamine inhibits the M1 pro-inflammatory markers in LPS-challenged macrophages, and downregulates multiple immune-related pathways.

SIGNIFICANCE

Esketamine mitigates surgery-triggered inflammation by suppressing monocyte/macrophage proinflammatory activity and TNF-α release, offering dual anesthetic and immunomodulatory benefits.

Prognostic significance of systemic inflammatory response markers NLR, PLR, and MLR in advanced high-risk endometrial cancer following radiotherapy

OBJECTIVE

This study aims to evaluate the relationship between systemic inflammatory response markers and the short-term prognosis of patients with endometrial cancer after comprehensive treatment.

METHODS

This retrospective study analyzed the baseline data from 156 endometrial cancer patients who received postoperative radiotherapy at the gynecology department of ChangZhi People Hospital Affiliated to ChangZhi Medical College. Optimal cutoff values for preoperative hematological indicators were determined using receiver operating characteristic (ROC) curves. The Kaplan-Meier method was used for univariate analysis to describe survival time and the 5-year overall survival rate of patients, as well as to plot the survival curve for endometrial cancer. Multivariate regression analysis was employed to identify independent risk factors for patient survival prognosis and to establish a multivariate prediction model.

RESULTS

By the end of the follow-up period, 42 patients (26.9%) were alive, and 114 patients (73.1%) had died. The shortest survival period was 21 months, the longest was 73 months, and the median survival time was 51 months. The 5-year survival rate was 39.3%. The prognostic nomogram model for endometrial cancer included 7 risk factors: age, pathological stage, interval time to postoperative chemotherapy, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR). The Hosmer-Lemeshow test result for this model showed that the area under the ROC curve was 0.995 (95% CI: 0.989-1.000), with an optimal cutoff value of 0.485, a sensitivity of 0.951, and a specificity of 0.71616. The internal validation results of the model showed a C-index of 0.995, indicating a good fit and high predictive value of the model.

CONCLUSION

Pre-treatment peripheral blood levels of PLR, NLR, and MLR were higher in deceased patients who received postoperative radiotherapy for advanced endometrial cancer compared to survivors. A multivariate prediction model based on preoperative and intraoperative baseline data can effectively predict patient prognosis.

Is there a relationship between blood inflammation markers and the severity of knee osteoarthritis?

Objectives

This study aims to evaluate the monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), plateletto-lymphocyte ratio (PLR), and C-reactive protein (CRP)-to-albumin ratio levels between individuals with mild to moderate knee osteoarthritis (OA) and those with severe knee OA.

Patients and methods

One hundred eighty-two participants (131 females, 51 males; mean age: 67.7±10.2 years; range, 43 to 91 years) affected by knee OA were involved in the cross-sectional retrospective study between January 2018 and January 2021. Kellgren and Lawrence (K-L) classification was performed in accordance with two-view (lateral and anteroposterior) plain radiograph examinations of each knee. The patients were grouped as follows: 98 patients had mild to moderate knee OA (K-L Grades 1-2), and 84 had severe knee OA (K-L Grades 3-4). Demographic data, neutrophil, monocyte, platelet, and lymphocyte levels, erythrocyte sedimentation rate, albumin, and CRP levels were documented. C-reactive protein-to-albumin ratio, NLR, MLR, and PLR levels were calculated.

Results

The MLR was significantly elevated in the severe knee OA group (p=0.047). A significant positive relationship was found with disease stage, MLR (r=0.206; p=0.005), and NLR levels (r=0.158; p=0.033). Receiver operating characteristic curve analyses for blood MLR demonstrated a sensitivity of 57% and specificity of 60%.

Conclusion

The study results suggest that while MLR and NLR may reflect the inflammatory response in knee OA, they are not highly diagnostic inflammatory markers that can be used to evaluate the severity or prognosis of the disease.

The effect of preoperative laboratory values on prognostic factors following cytoreduction surgery in ovarian cancer: Neutrophil lymphocyte ratio, platelet lymphocyte ratio, and lymphocyte monocyte ratio

In cancer patients, prognostic markers are needed to improve the management and clinical course of both the cancer itself and surgery therefor. Elevated systemic inflammatory markers are associated with morbidity and mortality in most cancer types. In this study, we aimed to determine the prognostic value of inflammatory markers such as neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) in patients undergoing cytoreductive surgery for ovarian cancer. The data of 188 patients who underwent surgery for ovarian cancer between December 2022 and December 2023 were retrospectively analyzed. Receiver operating characteristic (ROC) curves were constructed to evaluate the correlation between complications and the inflammatory prognostic factors NLR, PLR, and LMR. Optimal cutoff values were determined as the points where the Youden index (sensitivity + specificity - 1) was maximal. Patients were compared according to the presence of complications. As a result of the ROC curve analysis, patients were divided as high and low NLR and PLR groups. The difference of preoperative and postoperative inflammatory prognostic factors was compared according to the presence of complications. In this study in which a total of 90 patients were evaluated, the cutoff value for NLR was 2.04 (areas under the ROC curve: 0.655; P < .05) and the cutoff value for PLR was 145.3 (areas under the ROC curve: 0.740; P < .05) according to the presence of complications. In the group with complications, lymphopenia and thrombocytosis were more common preoperatively, while patients were more anemic postoperatively (P < .05). Patients in the high NLR group were younger and received less neoadjuvant chemotherapy. In the high PLR group, the number of patients receiving neoadjuvant chemotherapy was lower, and although the patients were more anemic and lymphopenic, higher rates of neutrophilia and thrombocytosis were observed. The analysis of preoperative and postoperative NLR, PLR, and LMR differences revealed an increase in NLR and PLR values and a decrease in LMR values (P < .05). The preoperative systemic inflammatory biomarkers NLR and PLR may be considered as prognostic predictors of poor postoperative outcomes. Therefore, consideration of these biomarkers may have an important role in clinical course management.

Prospective study on the association between 36 human blood cell traits and pan-cancer outcomes: a mendelian randomization analysis

BACKGROUND

Research on the link between blood cell traits and cancer risk has gained significant attention. Traditional epidemiological and cell biology studies, have identified correlations between blood traits and cancer risks. These findings are important as they suggest potential risk factors and biological mechanisms. However, these studies often can't confirm causality, pointing to the need for further investigation to understand these relationships better.

METHODS

Mendelian randomization (MR), utilizing single-nucleotide polymorphisms as instrumental variables, was employed to investigate blood cell trait causal effects on cancer risk. Thirty-six blood cell traits were analyzed, and their impact on 28 major cancer outcomes was assessed using data from the FinnGen cohort, with eight major cancer outcomes and 22 cancer subsets. Furthermore, 1,008 MR analyses were conducted, incorporating sensitivity analyses (weighted median, MR-Egger, and MR-PRESSO) to address potential pleiotropy and heterogeneity.

RESULTS

The analysis (data from 173,480 individuals primarily of European descent) revealed significant results. An increase in eosinophil count was associated with a reduced risk of colorectal malignancies (OR = 0.7702 per 1 SD higher level, 95% CI = 0.6852 to 0.8658; P = 1.22E-05). Similarly, an increase in total eosinophil and basophil count was linked to a decreased risk of colorectal malignancies (OR = 0.7798 per 1 SD higher level, 95% CI = 0.6904 to 0.8808; P = 6.30E-05). Elevated hematocrit (HCT) levels were associated with a reduced risk of ovarian cancer (OR = 0.5857 per 1 SD higher level, 95% CI = 0.4443 to 0.7721; P = 1.47E-04). No significant heterogeneity or horizontal pleiotropy was observed.

CONCLUSIONS

Our study highlights the complex and context-dependent roles of blood cell traits in cancers.

Correlation of hemoglobin, albumin, lymphocyte, and platelet score with prognosis in patients with stage III squamous lung cancer

Background

Among cancers, lung cancer has the second highest incidence rate and the highest mortality rate in the world. Identifying suitable biomarkers to assist in the prognostic prediction of lung cancer is crucial for developing individualized treatment plans. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score has been applied to predict patient prognosis across a variety of cancers. This study aimed to investigate the predictive value of the HALP score for the prognosis of patients with stage III squamous cell lung cancer.

Methods

The clinical data of patients with stage III squamous lung cancer who had undergone radical radiotherapy at the Department of Radiotherapy of The Fourth Hospital of Hebei Medical University from January 2011 to December 2020 were retrospectively analyzed. The optimal cutoff values for continuous variables were determined using X-Tile software. A Cox proportional hazards model was used for univariate and multivariate analysis, the Kaplan-Meier method was used for survival analysis, and log-rank test was used to check for differences.

Results

A total of 206 patients were included in this study, and the cutoff value for the HALP score was 24.3. There were statistically significant differences between the high- and low-HALP-score groups in terms of alcohol consumption history, tumor-node-metastasis (TNM) stage, prognostic nutritional index (PNI) score, and systemic immune-inflammation index (SII) score. The median overall survival (OS) was 11.0 and 22.0 months in the low- and high-HALP-score groups, respectively (P<0.001), and the median progression-free survival (PFS) was 8.0 and 13.0 months, respectively (P=0.002). Univariate analysis showed that a low HALP score was significantly associated with OS [hazard ratio (HR) =1.698, 95% confidence interval (CI): 1.261-2.286; P<0.001] and PFS (HR =1.584, 95% CI: 1.176-2.132; P=0.002) in patients with stage III lung squamous carcinoma, while the multivariate analysis showed that a low HALP score was the most important factor in OS (HR =1.538, 95% CI: 1.137-2.079; P=0.005) and PFS (HR =1.399, 95% CI: 1.033-1.895; P=0.03) as independent predictors of poor prognosis.

Conclusions

In patients with stage III squamous cell lung cancer treated with radical radiotherapy, low baseline HALP score is associated with its poorer OS and PFS and may thus be valuable prognostic factor.

Immune cell composition and its impact on prognosis in children with sepsis

BACKGROUND

Given the critical role of immune cells and their responses in sepsis pathogenesis, this study aimed to evaluate the prognostic significance of various immune cell ratios in septic children through the collection and analysis of clinical data.

METHODS

Clinical data were collected from septic children admitted to the pediatric intensive care unit (PICU) of Shenzhen Children's Hospital between January 2019 and September 2021. The peripheral blood immune cell ratios included the neutrophil to lymphocyte ratio (NLR), the derived neutrophil to lymphocyte ratio (dNLR), the neutrophil to lymphocyte and platelet ratio (NLPR), the monocyte to lymphocyte ratio (MLR), and the platelet to lymphocyte ratio (PLR). To investigate the associations between these immune cell ratios and mortality, we utilized the locally weighted scatterplot smoothing (LOWESS) method, receiver operating characteristic (ROC) analysis, and Kaplan‒Meier (K‒M) analysis.

RESULTS

A total of 230 septic children were enrolled in the study. When comparing the immune cell ratios between the deceased and surviving groups, all ratios except for the PLR were elevated in the deceased group. Using the LOWESS method, we observed that the MLR, NLR, dNLR, and NLPR exhibited an approximately linear association with in-hospital mortality. Among the various immune cell ratios, the NLPR exhibited the highest AUC of 0.748, which was statistically comparable to that of the Pediatric Critical Illness Score (PCIS) (0.748 vs. 0.738, P = 0.852). The NLR (0.652), MLR (0.638), and dNLR (0.615) followed in terms of AUC values. K‒M analysis revealed that children with elevated MLR, NLR, dNLR, and NLPR exhibited increased 30-day mortality.

CONCLUSION

The predictive capacity of the NLPR is comparable to that of the PCIS, suggesting that the NLPR has potential as a robust prognostic indicator for septic children.

A Review of the Prognostic Significance of Neutrophil-to-Lymphocyte Ratio in Nonhematologic Malignancies

Biomarkers are crucial in cancer diagnostics, prognosis, and surveillance. Extensive research has been dedicated to identifying biomarkers that are broadly applicable across multiple cancer types and can be easily obtained from routine investigations such as blood cell counts. One such biomarker, the neutrophil-to-lymphocyte ratio (NLR), has been established as a prognostic marker in cancer. However, due to the dynamic nature of cancer diagnosis and treatment, periodic updates are necessary to keep abreast of the vast amount of published data. In this review, we searched the PubMed database and analyzed and synthesized recent literature (2018-February 2024) on the role of NLR in predicting clinical outcomes in nonhematologic malignancies. The search was conducted using the PubMed database. We included a total of 88 studies, encompassing 28,050 human subjects, and categorized the findings into four major groups: gastrointestinal cancer, cancers of the urinary tract and reproductive system, lung cancer, and breast cancer. Our analysis confirms that NLR is a reliable prognostic indicator in cancer, and we discuss the specific characteristics, limitations, and exceptions associated with its use. The review concludes with a concise Q&A section, presenting the most relevant take-home messages in response to five key practical questions on this topic.

Association between monocyte-to-lymphocyte ratio and prostate cancer in the U.S. population: a population-based study

Introduction

Monocyte-to-lymphocyte ratio (MLR) is a convenient and noninvasive inflammatory biomarker, and inflammation has been reported to be associated with prostate cancer (PCa). Our objective was to ascertain any possible correlation between PCa and MLR.

Methods

We utilized data from the 1999-2020 cycles of the National Health and Nutrition Examination Survey (NHANES) regarding MLR and PCa. The independent associations of MLR and other inflammatory biomarkers (platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), system inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI)) with PCa was investigated using weighted multivariate logistic regression and generalized additive models. Receiver operating characteristic (ROC) curves were conducted to evaluate and contrast their diagnostic capabilities.

Results

The analysis we conducted comprised 25,367 persons in total. The mean MLR was 0.31 ± 0.14. The prevalence of PCa was 3.1%. A positive association was found between MLR and PCa (OR = 2.28; 95% CI: 1.44, 3.62). According to the interaction tests, age, body mass index (BMI), hypertension, diabetes, and smoking status did not significantly impact the relationship between MLR and PCa (all p for interaction >0.05). ROC analysis showed that MLR had a stronger discriminative ability and accuracy in predicting PCa than other inflammatory biomarkers (NLR, SII, AISI, PLR, and SIRI).

Conclusion

MLR might be better than other inflammatory biomarkers (NLR, SIRI, AISI, PLR, and SII) in predicting PCa. American adults who have elevated levels of MLR, NLR, PLR, SII, and AISI should be aware that they have a greater risk of PCa.

The predictive value of NLR, PLR and MLR in the differential diagnosis of benign uterine diseases and endometrial malignant tumors

OBJECTIVE

To explore the application of neutrophils to lymphocytes ratio (NLR), platelet to lymphocyte ratio (PLR) and monocyte to lymphocyte ratio (MLR) in the differential diagnosis of benign uterine diseases and endometrial malignant tumors.

METHODS

80 patients with endometrial malignant tumor diagnosed in our hospital from January 2019 to December 2022 were selected as the study group, and 74 patients with benign uterine diseases confirmed by pathology in our hospital during the same period were randomly selected as the control group. The differences of NLR, PLR and MLR in the peripheral blood of patients in each group were compared, and the value of individual indicators in the diagnosis of endometrial malignant tumor was evaluated using the Receiver Operating Characteristic (ROC) curve.

RESULTS

In peripheral blood, the NLR, PLR and MLR value in patients with endometrial cancer (EC) were significantly higher than those in patients with benign uterine diseases (P < 0.05). The area under the curve (AUC) of NLR, PLR, MLR in peripheral blood were 0.777, 0. 675 and 0.698. The best cutoff values were 2.02, 132.06 and 0.166. The sensitivity and specificity were 62.5% and 79.7%, 62.5% and 63.5%, 81 3% and 47.3%. The combination of these three indicators can significantly improved the diagnostic efficiency in endometrial cancer (AUC = 0.780), and the sensitivity and specificity were 60% and 83.8%.

CONCLUSIONS

In peripheral blood, NLR, PLR and MLR have certain diagnostic value in the differential diagnosis of endometrial cancer. When NLR, PLR and MLR are elevated, we should be alert to the occurrence of endometrial malignant tumors, and the combined diagnostic efficiency is high.

Value of markers of systemic inflammation for the prediction of postoperative progression in patients with pancreatic neuroendocrine tumors

Background

Non-invasive prognostic predictors for rare pancreatic neuroendocrine tumors (PNETs) are lacking. We aimed to approach the prognostic value of preoperative systemic inflammatory markers in patients with PNETs.

Methods

The clinical data of 174 patients with PNETs undergoing surgical treatment were retrospectively analyzed to explore the correlation of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), and platelet to white blood cell ratio (PWR) with clinicopathological parameters and the progression of tumor after the operation. The optimal cutoff values for predictors and the area under the curve (AUC) of the receiver operating characteristic (ROC) were estimated. Univariate and multivariate Cox proportional hazards models were used to assess the relation between NLR, LMR, PLR, and progression-free survival (PFS), examined by the Kaplan-Meier and log-rank tests.

Results

The scores of the NLR (P = 0.039) and PLR (P = 0.011) in the progression group were significantly higher than those in the progression-free group, and the LMR was significantly lower than those in the progression-free group (P = 0.001). The best cutoff values of NLR, LMR, and PLR before operation were 2.28, 4.36, and 120.91. The proportions of tumor progression in the high NLR group (P = 0.007) and high PLR group (P = 0.013) obviously increased, and the proportion of tumor development in the low LMR group was higher than that in the high LMR group (P < 0.001). The K-M survival curve showed that the progression-free survival rate was lower in the high NLR group (P = 0.004), the low LMR group (P < 0.001), and the high PLR group (P = 0.018). The results of the multivariate Cox proportional hazards model suggested that preoperative LMR (HR = 3.128, 95% CI: 1.107~8.836, P = 0.031) was an independent predictor of PFS.

Conclusion

The markers of systemic inflammation, especially LMR, can predict the postoperative progression of PNETs.

Relationship Between Preoperative Inflammation Ratios Derived From Preoperative Blood Cell Count and Postoperative Pulmonary Complications in Patients Undergoing Lobectomy: A Single-Center Observational Study

OBJECTIVE

Evaluation of the association of inflammatory cell ratios, especially neutrophil-to-lymphocyte ratio (NLR), based on preoperative complete blood counts, with postoperative complications in lobectomy surgery.

DESIGN

This was a retrospective monocentric cohort study.

SETTING

The study was conducted at Foch University Hospital in Suresnes, France.

PARTICIPANTS

Patients having undergone a scheduled lobectomy from January 2018 to September 2021.

INTERVENTIONS

There were no interventions.

MEASUREMENTS AND MAIN RESULTS

The authors studied 208 consecutive patients. Preoperative NLR, monocyte-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic inflammation index, systemic inflammation response index, and aggregate inflammation systemic index were calculated. Median and (IQR) of NLR was 2.67 (1.92-3.69). No statistically significant association was observed between any index and the occurrence of at least one major postoperative complication, which occurred in 37% of the patients. Median postoperative length of stay was 7 (5-10) days. None of the ratios was associated with prolonged length of stay (LOS), defined as a LOS above the 75th percentile.

CONCLUSIONS

The results suggested that simple available inflammatory ratios are not useful for the preoperative identification of patients at risk of postoperative major complications in elective lobectomy surgery.

Plateletcrit is predictive of clinical outcome and prognosis for early-stage breast cancer: A retrospective cohort study based on propensity score matching

PURPOSE

Breast cancer (BC) is diagnosed as the most common cancer in women in 2022 according to the American Cancer Society. It is essential to detect early and treat early. Several studies have shown that some blood parameters have important predictive value for BC. In this study, we aim to explore whether some immune-associated blood parameters are relevant to disease-free survival (DFS) in early-stage BC.

METHODS

A single-center, regression cohort study of 1490 patients with early-stage BC in Shanghai Cancer Center was conducted from January 2008 to December 2016. The patients were matched according to the ratio of 1:1 based on Propensity Score Matching (PSM). All patients who experienced disease progression were matched successfully. Thus, 58 pairs of subjects were obtained. Matched blood parameters were evaluated by paired samples t-test or Wilcoxon signed-rank test. Factors with statistical difference were further evaluated by stratified COX regression model.

RESULTS

Univariate analysis showed differences in platelet-related parameters (PLT, PCT, and PLR) and NLR between the two matched groups. However, stratified COX regression analysis, which ruled out the confounding effects of multiple factors, found that only PCT had prognostic value in early BC patients at baseline and study endpoint. Meanwhile, platelet-related parameters (PLT, MPV) and NLR were different in the progressive group by self before and after comparison. However, the multiple-factor analysis showed that only the NLR had prognostic value. ROC curve analysis indicated that the best sensitivity (65.45%) and specificity (78.18%) were obtained when the baseline PCT was 0.225. The optimal sensitivity (70.91%) and specificity (65.45%) were obtained when the PCT of disease progression was 0.215. The Kaplan-Meier curve was used to calculate the DFS rate based on the critical values of the two groups.

CONCLUSIONS

Some blood parameters have value to predict DFS in early-stage BC patients, especially platelet-associated parameters.

Predictive value of hemogram parameters in malignant transformation of the endometrium in patients with different risk factors

OBJECTIVES

To investigate whether the pretreatment hemogram parameters and their ratios can be used in predicting the endometrial transformation in patients with abnormal uterine bleeding.

MATERIAL AND METHODS

Records of all patients who underwent an endometrial histopathological evaluation between 2011 and 2021 were investigated. Hemogram, neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) were analyzed. Chi square and Mann Whitney U tests were used for analysis. P<0.05 was considered statistically significant.

RESULTS

427 patients were included, of whom 117 were presented with endometrial hyperplasia without atypia (27.4%; mean age, 42±9.7; Group II), 70 with atypia (16.3%; mean age, 53.4±9; Group III), 102 with early endometrial cancer (EC) (23.8%; mean age, 63±7.8; Group IV) and 38 with advanced disease (8.8%; mean age, 63.3±10.5; Group V). Patients without pathology constituted the control group (23.4%; mean age, 42.2±9.5; Group I). Risk factors for atypia and carcinoma were determined as age, postmenopausal state, obesity, diabetes, and increased estrogen exposure (each, p<0.05). There was no significant difference in NLR and PLR (p>0.05). However, hemoglobin and hematocrit levels were higher in Groups IV and V (13.9 vs 13.1 mg/dL, and 39.1 vs 38.8%, respectively; p<0.01). Platelet value was significantly higher in Groups III to V (282x109/L, 283x109/L and 295x109/L; p<0.05, p<0.05 and p<0.01, respectively).

CONCLUSIONS

Our findings support the impact of inflammation on malign transformation from normal endometrial mucosa to atypia and carcinoma. NLR and PLR values showed no statistical difference. Instead, thrombocytosis may have a predictive role in EC.

The Association between Diabetes Mellitus, High Monocyte/Lymphocyte Ratio, and Survival in Endometrial Cancer: A Retrospective Cohort Study

This retrospective cohort study aimed to evaluate the factors related to endometrial cancer (EC) prognosis and survival in eastern Taiwan. The study involved 48 patients diagnosed with EC who underwent hysterectomy-based surgery at Hualien Tzu Chi hospital between January 2011 and June 2021. The patients’ medical history and laboratory examination results were reviewed. Progression-free survival and overall survival were determined. Categorical variables were analyzed using the chi-square test, and continuous variables were analyzed using the independent t-test. The receiver operating characteristic curve was used to predict diagnostic value. Factors associated with cancer mortality were identified via Cox regression analysis (p < 0.05). Patients were divided into the death (n = 7) and survival (n = 41) groups. The median age of the patients was 56 years (range: 31−71 years). The median observation period was 33.29 months. Diabetes mellitus (DM) and monocyte/lymphocyte ratio (MLR) > 0.23886 were significantly associated with cancer mortality (p = 0.024 and p = 0.028, respectively). MLR-low and MLR-high groups exhibited 5-year overall survival rates of 96% and 60%, respectively, and 5-year progression-free survival rates of 96% and 41%, respectively. DM and MLR of >0.2386 were suggested to be associated with cancer death, poor overall survival, and progression-free survival.

Identification of prognostic factors and nomogram model for patients with advanced lung cancer receiving immune checkpoint inhibitors

Background and aim

Some patients with lung cancer can benefit from immunotherapy, but the biomarkers that predict immunotherapy response were not well defined. Baseline characteristic of patients may be the most convenient and effective markers. Therefore, our study was designed to explore the association between baseline characteristics of patients with lung cancer and the efficacy of immunotherapy.

Methods

A total of 216 lung cancer patients from Tianjin Medical University Cancer Institute & Hospital who received immunotherapy between 2017 and 2021 were included in the retrospective analysis. All baseline characteristic data were collected and then univariate log-rank analysis and multivariate COX regression analysis were performed. Kaplan-Meier analysis was used to evaluate patients' progression-free survival (PFS). A nomogram based on significant biomarkers was constructed to predict PFS rate of patients receiving immunotherapy. We evaluated the prediction accuracy of nomogram using C-indices and calibration curves.

Results

Univariate analysis of all collected baseline factors showed that age, clinical stage, white blood cell (WBC), lymphocyte (LYM), monocyte (MON), eosinophils (AEC), hemoglobin (HB), lactate dehydrogenase (LDH), albumin (ALB) and treatment line were significantly associated with PFS after immunotherapy. Then these 10 risk factors were included in a multivariate regression analysis, which indicated that age (HR: 1.95, 95% CI [1.01-3.78], P = 0.048), MON (HR: 1.74, 95% CI [1.07-2.81], P = 0.025), LDH (HR: 0.59, 95% CI [0.36-0.95], P = 0.030), and line (HR: 0.57, 95% CI [0.35-0.94], P = 0.026) were significantly associated with PFS in patients with lung cancer receiving immunotherapy. Patients with higher ALB showed a greater trend of benefit compared with patients with lower ALB (HR: 1.58, 95% CI [0.94-2.66], P = 0.084). Patients aged ≥51 years, with high ALB, low LDH, first-line immunotherapy, and high MON had better response rates and clinical benefits. The nomogram based on age, ALB, MON, LDH, line was established to predict the prognosis of patients treated with immune checkpoint inhibitor (ICI). The C-index of training cohort and validation cohort were close, 0.71 and 0.75, respectively. The fitting degree of calibration curve was high, which confirmed the high prediction value of our nomogram.

Conclusion

Age, ALB, MON, LDH, line can be used as reliable predictive biomarkers for PFS, response rate and cancer control in patients with lung cancer receiving immunotherapy. The nomogram based on age, ALB, MON, LDH, line was of great significance for predicting 1-year-PFS, 2-year-PFS and 3-year-PFS in patients with advanced lung cancer treated with immunotherapy.

A potential novel inflammation biomarker for predicting the prognosis of decompensated liver cirrhosis

OBJECTIVE

This study aimed to explore the prognostic value of the lymphocyte (LYM)-to-white blood cell (WBC) ratio (LWR) in patients with decompensated liver cirrhosis (DLC).

METHODS

This study was conducted by recruiting 214 patients with DLC with different aetiologies (development cohort). Receiver operating characteristic (ROC) curve analyses were used to assess the predictive accuracy of the LWR, and Youden's index was used to determine the optimal cut-off values of the LWR based on the ROC curve. Next, patients were divided into high- and low-LWR groups according to the cut-off values. Multivariate logistic analyses were performed to determine the independent predictors for the 1-, 3- and 6-month mortality. Restricted cubic spline (RCS) was used to determine and visualize the association between LWR and the risk of death. We verified the predictive ability of LWR in the validation cohort of 139 patients.

RESULTS

In the development cohort, there were 16 (7.5%), 22 (10.3%) and 30 patients (14.0%) who died at 1, 3 and 6 months, respectively. The LWR was significantly lower in non-survivors than in survivors and was an independent predictor of poor outcomes. The ROC analyses with the Delong test showed that the LWR had comparable predictive power with the Model for End-Stage Liver Disease (MELD) score, neutrophil-to-LYM ratio (NLR) and Chronic Liver Failure consortium score for acute decompensated (CLIF-C ADs). RCS showed a non-linear relationship between the LWR and the risk of death at 1 and 3 months, whereas a linear relationship was observed between the LWR and the risk of death at 6 months. We verified that the decreased LWR was an independent predictor of adverse outcomes at 3-, and 6-month follow-up endpoints in the validation cohort.

CONCLUSIONS

Our findings indicate that a lower LWR is an independent factor for unfavourable outcomes and may serve as a potential novel prognostic predictor in patients with DLC.KEY MESSAGESThis study is the first report on the prognostic value of the lymphocyte (LYM)-to-white blood cell (WBC) ratio (LWR) in patients with decompensated liver cirrhosis (DLC).Decreased LWR is an independent factor for adverse outcomes in patients with DLC.

Preoperative monocyte-to-lymphocyte ratio as a potential predictor of bladder cancer

OBJECTIVES

The aim of this study was to investigate the role of preoperative Monocyte-to-Lymphocyte ratio (MLR) as a potential predictor of bladder cancer (BC).

METHODS

Clinical data of patients who underwent TURBT at our institution between 2017 and 2021 were collected and retrospectively analysed. MLR was obtained from preoperative blood analyses performed within 1 month from hospital admission. The association of MLR with different clinic-pathological features obtained from histological reports was further analysed. Statistical analysis was performed using the Kruskal Wallis test for non-parametric variables, assuming p<0.05 as statistically significant.

RESULTS

510 patients were included in the study (81% males, 19% females), with a mean age of 71.66 ± 11.64 years. Mean MLR was higher in patients with any-type bladder cancer, reporting an MLR of 0.41 ± 0.11 compared to 0.38 ± 0.43 in patients without bladder cancer (p=0.043). In the subsequent comparison among low-grade and high-grade bladder cancer, MLR did not report statistically significant differences, with 0.29 ± 0.12 for low-grade BC and 0.51 ± 0.81 for high-grade BC (p=0.085).

CONCLUSIONS

Our findings reported elevated preoperative MLR should be considered a potential biomarker predicting malignancy for bladder tumours. Furthermore, research are necessary to assess its role in discerning low-grade from high-grade patients.

Clinical Lymph Node Involvement as a Predictor for Cancer-Specific Survival in Patients with Penile Squamous Cell Cancer

We aimed to identify prognostic predictive factors of patients with penile squamous cell carcinoma (PSCC). This retrospective study reviewed the clinical and pathological data of patients with PSCC at 10 institutions in Japan between January 2008 and December 2019. The primary endpoint was cancer-specific survival (CSS). We also identified useful predictive factors for CSS in patients with PSCC. In total, 64 patients with PSCC were enrolled. At the end of the follow-up period, 15 patients (23.4%) died owing to PSCC and six (9.4%) died owing to other causes. The 2- and 3-year CSS rates were 78.9% and 76.6%, respectively. Using the Kaplan−Meier method, the Eastern Cooperative Oncology Group performance status 0, serum albumin levels ≥4.2 g/dL, hemoglobin levels ≥13.2 g/dL, C-reactive protein levels <0.21 mg/dL, clinical T stage ≤2, clinically negative lymph node (LN) status, and tumor size <30 mm were associated with a significantly better CSS. In the multivariate analysis, the clinically positive LN status was a significant predictive factor for CSS in patients with PSCC. Further prospective large-scale and long-term studies are required to validate our findings.

Association of White Blood Cell Subtypes and Derived Ratios with a Mortality Outcome in Adult Patients with Polytrauma

Background. After trauma, the subtypes of white blood cells (WBCs) in circulation and the derived neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) may undergo relative changes and reflect the patients’ immune-inflammatory status and outcome. This retrospective study was designed to investigate the relationship between these variables and the mortality outcomes in adult patients with polytrauma, which is defined as an abbreviated injury scale (AIS) score ≥ 3 in two or more different body regions. Methods. A comparison of the expression of subtypes of WBCs, NLR, MLR, and PLR upon arrival to the emergency department was performed in selected propensity score-matched patient cohorts created from 479 adult patients with polytrauma between 1 January 2015 and 31 December 2019. A multivariate logistic regression analysis was used to identify the independent risk factors for mortality. Results. There were no significant differences in monocyte, neutrophil, and platelet counts, as well as in MLR, NLR, and PLR, between deceased (n = 118) and surviving (n = 361) patients. In the propensity score-matched patient cohorts, which showed no significant differences in sex, age, comorbidities, and injury severity, deceased patients had significantly higher lymphocyte counts than survivors (2214 ± 1372 vs. 1807 ± 1162 [106/L], respectively, p = 0.036). In addition, the multivariate logistic regression analysis revealed that the lymphocyte count (OR, 1.0; 95% confidence interval [CI], 1.00–1.06; p = 0.043) was a significant independent risk factor for mortality in these patients. Conclusions. This study revealed that there was no significant difference in the counts of monocytes, neutrophils, and platelets, as well as in MLR, NLR, and PLR, between deceased and surviving patients with polytrauma. However, a significantly higher lymphocyte count may be associated with a worse mortality.

The Neutrophil-to-Lymphocyte and Monocyte-to-Lymphocyte Ratios Are Independently Associated With the Severity of Autoimmune Encephalitis

Background

The neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) are biomarkers that may reflect inflammatory status in some immune-related diseases. This study aims to investigate the association of NLR and MLR with the severity and prognosis of autoimmune encephalitis (AE).

Methods

A total of 199 patients diagnosed with AE in the First Affiliated Hospital of Zhengzhou University from October 2015 to October 2021 were retrospectively analyzed. The Clinical Assessment Scale for Autoimmune Encephalitis (CASE) and the modified Rankin Scale (mRS) were used to evaluate the severity of the patients at admission, and the patients were divided into mild group (CASE ≤ 4) and severe group (CASE ≥ 5) according to the CASE score. Poor prognosis was described as an mRS of 3 or more at 12 months. Binary logistic regression analysis was performed to assess risk factors for the severity and prognosis of AE.

Results

NLR and MLR of severe group were significantly higher than that of mild group. NLR and MLR were positively correlated with the CASE score (r = 0.659, P < 0.001; r = 0.533, P < 0.001) and the mRS score (r = 0.609, P < 0.001;r = 0.478, P < 0.001) in AE patients. Multivariate logistic analysis showed that NLR (OR = 1.475, 95%CI: 1.211-1.796, P < 0.001) and MLR (OR = 15.228, 95%CI: 1.654-140.232, P = 0.016) were independent risk factors for the severity of AE. In addition, the CASE score and the mRS score were positively correlated (r = 0.849, P < 0.001). Multivariate logistic analysis showed that the CASE at admission (OR = 1.133, 95%CI: 1.043-1.229, P = 0.003) and age (OR = 1.105, 95%CI: 1.062-1.150, P < 0.001) were independent risk factors for the poor prognosis of AE patients. The NLR and MLR at admission and whether they decreased after immunotherapy were not associated with the prognosis of AE patients (P > 0.05).

Conclusions

NLR and MLR, readily available and widespread inflammatory markers, were helpful for clinicians to monitor disease progression and identify potentially severe patients of AE early to optimize clinical treatment decisions.

Prognostic value of pretreatment systemic inflammatory markers in patients with stage I endometrial cancer

Objective: Evaluate the prognostic value of monocyte-lymphocyte ratio (MLR) in patients with stage I endometrial cancer. Method: Data from 225 patients with stage I endometrioid endometrial cancer who underwent surgical resection between January 2010 and December 2020 were reviewed. The receiver operating characteristic (ROC) curves were generated for the neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, and MLR. Optimal cut-off values were determined as the points at which the Youden index (sensitivity + specificity - 1) was maximal. Based on the results of the ROC curve analysis, the patients were grouped into high MLR and low MLR groups. Recurrence rate, and disease-free survival were compared between the two groups. The prognostic factors were investigated using univariate and multivariate Cox proportional hazards model. Results: The optimal cut-off value of MLR was 0.220 (AUC, 0.835; p < 0.001). Significantly more patients in the high MLR group experienced recurrence (20.3% vs. 1.9%, p < 0.0001). In multivariate analysis, grade, depth of myometrial invasion, adjuvant RT, and high MLR were independent prognostic factors for disease-free survival. Conclusion: Elevated MLR was significantly associated poor clinical outcomes in patients with stage I endometrioid endometrial cancer. Our findings suggest that MLR may be clinically reliable and useful as an independent prognostic marker for patients with stage I endometrioid endometrial cancer.