The Prognostic Value of the Combination of the Prognostic Nutritional Index and the Lymphocyte:Monocyte Ratio for the Prediction of Patients with Muscle-Invasive Bladder Cancer.

OBJECTIVE: To explore the efficacy of combining the prognostic nutritional index (PNI) and the lymphocyte:monocyte ratio (LMR) for patients with muscle-invasive bladder cancer (MIBC). METHODS: Of 172 patients who were diagnosed with MIBC in our hospital, 94 were eligible for the study. The clinical data of the 94 patients with MIBC were collected. The patients were divided according to the optimal cut-off values for the preoperative PNI and LMR into a low-PNI subgroup (PNI <44.15, 52 patients), a high-PNI subgroup (PNI ≥44.15, 42 patients), a low-LMR subgroup (LMR <2.98, 50 patients) and a high-LMR subgroup (LMR ≥2.98, 44 patients). The area under the receiver operating characteristic (ROC) curve (AUC) was used to analyse the efficacy of the PNI and the LMR in predicting the prognosis of patients with MIBC. Univariate and multivariate logistic regression analyses were performed to evaluate prognostic factors for patients with MIBC. Kaplan-Meier (K‒M) survival analysis was used for overall survival (OS) analysis to explore the ability of the PNI combined with the LMR to predict the prognosis of patients with MIBC. RESULTS: The optimal cut-off values for the preoperative PNI and the preoperative LMR were 44.15 and 2.98, respectively, on the basis of ROC curves. ROC curve analysis revealed that the PNI (AUC = 0.720, sensitivity 65.9%, specificity 74.50%, Youden index 0.399) and the LMR (AUC = 0.724, sensitivity 65.9%, specificity 70.0%, Youden index 0.395) both had good prognostic efficacy for patients with MIBC. The results of univariate and multivariate logistic regression analyses showed that preoperative PNI <44.15 was an independent risk factor for OS in patients with MIBC (p = 0.027). Based on K‒M survival curve analysis, patients with PNI <44.15 and LMR <2.98 had the shortest OS (p = 0.00002). CONCLUSIONS: Low preoperative PNI and LMR values are indicative of poor prognosis in patients with MIBC. The efficacy of their combination was better than that of the factors independently.

Prognostic Value of Lymphocyte-to-Monocyte Ratio (LMR) in Patients With Prostate Cancer: A Systematic Review and Meta-Analysis.

The objective of this study is to evaluate the prognostic value of lymphocyte-to-monocyte ratio (LMR) in patients with prostate cancer (PCa) by a method of meta-analysis. China National Knowledge Infrastructure (CNKI), Wanfang Data, PubMed, Web of Science, Cochrane Library, and Embase were searched to collect relevant literature until March 2023. The Newcastle-Ottawa Scale was used to assess the bias risk of the literature included. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate the prognostic value of LMR in PCa. Stata 15.0 statistical software was used for data analysis. A total of six published articles were included in this meta-analysis, containing 1,104 patients with PCa. The results of the meta-analysis indicated better overall survival (OS; HR = 1.73, 95% CI: 1.73, p = .001) and progression-free survival (PFS; HR = 2.63, 95% CI: 1.58~4.38, p < .001) in patients with PCa with low LMR compared with high LMR. In conclusion, compared with low LMR, PCa patients with high LMR have a better prognosis. LMR is an independent risk factor affecting the long-term prognosis of patients with PCa. The detection of LMR before treatment is of certain significance in judging the clinical prognosis of patients with PCa.

Prognostic value of the peripheral blood lymphocyte/monocyte ratio combined with 18F-FDG PET/CT in patients with diffuse large B-cell lymphoma.

OBJECTIVE: To explore the prognostic value of the peripheral blood lymphocyte/monocyte ratio (LMR) combined with 18F-FDG PET/CT for diffuse large B-cell lymphoma (DLBCL). METHODS: The clinical data of 203 patients with primary DLBCL who were hospitalized to the First People's Hospital of Lianyungang between January 2017 and December 2022 were retrospectively analyzed. Before and after three courses of treatment, PET/CT was performed on forty DLBCL patients. The subject operating characteristic (ROC) curve has been employed to determine the most effective LMR cutoff points. According to the criteria for assessing the efficacy of Lugano lymphoma, the PET/CT findings after 3 courses of treatment were specified as complete remission (CR), partial remission (PR), stable disease (SD) and disease progression (PD). The CR group, PR+SD group, and PD group were the three groups created from the four outcomes. Results were analyzed using the Cox proportional risk model, the Kaplan-Meier method (K-M), and the log-rank test. RESULTS: An optimal cutoff point of 3.00 for the LMR in 203 patients was determined by the SPSS 26 software ROC curve. When LMR≥3.00, the 1-year, 3-year, and 5-year OS (Overall Survival) rates are 98%, 88%, and 64% respectively, and the PFS (Progression-free Survival) rates are 90%, 75%, and 56% respectively. When LMR <3.00, the 1-year, 3-year, and 5-year OS rates are 96%, 72%, and 28% respectively, and the PFS rates are 83%, 60%, and 28% respectively. A lower LMR was substantially related with shorter OS, and PFS, according to a K-M survival analysis (P<0.005). LMR<3.00 was an independent predictor of OS, based on a multifactorial Cox analysis (P=0.037). K-M survival analysis of the 18F-FDG PET/CT results of 40 patients revealed that both OS and PFS were statistically significant (P<0.001). Patients were separated into 3 groups combining LMR and 18F-FDG PET/CT: PET/CT CR patients with LMR≥3.00, PET/CT PD patients with LMR<3.00, and others. The Kaplan-Meier analysis revealed that there were significant differences in OS and PFS for each of the three groups (P<0.001). ROC curves showed that the area under the curve (AUC) of the combined testing of the two was 0.735, and the combined testing of the two was better compared to testing alone (PET/CT AUC=0.535, LMR AUC=0.567). This indicates that combining both PET/CT and LMR is a favorable prediction for DLBCL. CONCLUSION: A decreased LMR at initial diagnosis suggests an unfavorable prognosis for DLBCL patients; For patients with DLBCL, combining 18F-FDG PET/CT and the LMR has a better predictive value.

Inflammatory markers are associated with infertility prevalence: a cross-sectional analysis of the NHANES 2013-2020.

BACKGROUND: Inflammation exerts a critical role in the pathogenesis of infertility. The relationship between inflammatory parameters from peripheral blood and infertility remains unclear. Aim of this study was to investigate the association between inflammatory markers and infertility among women of reproductive age in the United States. METHODS: Women aged 20-45 were included from the National Health and Nutrition Examination Survey (NHANES) 2013-2020 for the present cross-sectional study. Data of reproductive status was collected from the Reproductive Health Questionnaire. Six inflammatory markers, systemic immune inflammation index (SII), lymphocyte count (LC), product of platelet and neutrophil count (PPN), platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR) and lymphocyte-monocyte ratio (LMR) were calculated from complete blood counts in mobile examination center. Survey-weighted multivariable logistic regression was employed to assess the association between inflammatory markers and infertility in four different models, then restricted cubic spline (RCS) plot was used to explore non-linearity association between inflammatory markers and infertility. Subgroup analyses were performed to further clarify effects of other covariates on association between inflammatory markers and infertility. RESULTS: A total of 3,105 women aged 20-45 was included in the final analysis, with 431 (13.88%) self-reported infertility. A negative association was found between log2-SII, log2-PLR and infertility, with an OR of 0.95 (95% CI: 0.78,1.15; p = 0.60), 0.80 (95% CI:0.60,1.05; p = 0.10), respectively. The results were similar in model 1, model 2, and model 3. Compared with the lowest quartile (Q1), the third quartile (Q3) of log2-SII was negatively correlation with infertility, with an OR (95% CI) of 0.56 (95% CI: 0.37,0.85; p = 0.01) in model 3. Similarly, the third quartile (Q3) of log2-PLR was negatively correlation with infertility, with an OR (95% CI) of 0.61 (95% CI: 0.43,0.88; p = 0.01) in model 3. No significant association was observed between log2-LC, log2-PPN, log2-NLR, log2-LMR and infertility in model 3. A similar U-shaped relationship between log2-SII and infertility was found (p for non-linear < 0.05). The results of subgroup analyses revealed that associations between the third quartile (Q3) of log2-SII, log2-PLR and infertility were nearly consistent. CONCLUSION: The findings showed that SII and PLR were negatively associated with infertility. Further studies are needed to explore their association better and the underlying mechanisms.

Pretreatment PLR Is Preferable to NLR and LMR as a Predictor in Locally Advanced and Metastatic Bladder Cancer.

Background/Aim: Advanced bladder cancer (BC) is associated with an inflammatory nature and poor prognosis Inflammatory biomarkers are potential predictors in BC. We conducted a study to assess the prognostic value of the pretreatment neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in advanced bladder cancer. Patients and Methods: A total of 226-patients with muscle-invasive BC (MIBC) were included. Overall (OS) and progression-free survival were estimated using the Kaplan-Meier method and the log-rank test was used for comparison. Univariate and multivariate Cox proportional hazard models were used to determine NLR, PLR, and LMR association with OS. Results: Our patients' median progression-free survival and OS were 12.18 and 15.54 months, respectively. Receiver operating characteristic analysis revealed cut-off values for our chosen inflammatory markers. The patients with high NLR or PLR had inferior median OS compared to their counterparts with lower ratios for both (NLR: 22.51 vs. 9.84 months, respectively, p≤0.001; PLR: 17.68 vs. 14.08 months, respectively, p=0.08). Meanwhile, patients with low LMR had inferior median OS compared to patients with higher LMR (LMR: 20.14 months vs. 10.55 months, respectively, p<0.001). The multivariate Cox regression analysis identified a high PLR as an independent predictive factor of worse OS (hazard ratio=2.774, 95% confidence interval=1.486-5.178, p=0.001) but not NLR or LMR. Conclusion: PLR, C-reactive protein-to-albumin ratio, and serum LDH levels, but not NLR and LMR, may function as independent predictors in patients with advanced BC prior to systemic treatment.

A Prospective Study on the Roles of the Lymphocyte-to-Monocyte Ratio (LMR), Neutrophil-to-Lymphocyte Ratio (NLR), and Platelet-to-Lymphocyte Ratio (PLR) in Patients with Locally Advanced Rectal Cancer.

Rectal cancer constitutes over one-third of all colorectal cancers (CRCs) and is one of the leading causes of cancer-related deaths in developed countries. In order to identify high-risk patients and better adjust therapies, new markers are needed. Systemic inflammatory response (SIR) markers such as LMR, NLR, and PLR have proven to be highly prognostic in many malignancies, including CRC; however, their roles in locally advanced rectal cancer (LARC) are conflicting and lack proper validation. Sixty well-selected patients with LARC treated at the Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw, Poland, between August 2017 and December 2020 were prospectively enrolled in this study. The reproducibility of the pre-treatment levels of the SIR markers, their correlations with clinicopathological characteristics, and their prognostic value were evaluated. There was a significant positive correlation between LMR and cancer-related inflammatory infiltrate (r = 0.38, p = 0.044) and PD-L1 expression in tumor cells, lymphocytes, and macrophages (combined positive score (CPS)) (r = 0.45, p = 0.016). The PLR level was correlated with nodal involvement (p = 0.033). The SIR markers proved to be only moderately reproducible and had no significant prognostic value. In conclusion, the LMR was associated with local cancer-related inflammation and PD-L1 expression in tumor microenvironments. The validity of SIR indices as biomarkers in LARC requires further investigation.

Systemic inflammatory response markers for prediction of response to neoadjuvant chemotherapy in patients with advanced gastric cancer.

BACKGROUND: Tumour development is greatly influenced by the systemic inflammatory response. Inflammatory factors, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphcyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR), mirror the balance between systemic inflammation and anti-tumour response. The current investigation examined the predictive and prognostic value of NLR, PLR, and LMR in advanced gastric cancer (GC) patients. METHODS: This study is a retrospective, observational analysis involving 105 GC patients treated with neoadjuvant chemotherapy (NAC). Thestudy population included patients who met the eligibility criteria.The relationship between NLR, PLR, LMR and demographic and clinical variables was assessed using theΧ2test. Survival data were analysed by Kaplan-Meier curves. RESULTS: High NLR levels were associated with more advanced tumour stage.Higher risk of no tumour regression after NAC was observed if a high pretreatment level of NLR or PLR was found. All patients with an increase in NLR after NAC had a significantly higher risk of no tumor response.In groups high (no change), increase, decrease, and low (no change), NLR and PLR OS medians were: 33, 67, 78, and not reached-NR and 34, 29, 36, and NR, respectively. All patients had a significantly higher risk of death if NLR increased after NAC. An increase in post-NAC PLR level was associated with an increased risk of death only if the PLR baseline value was low. CONCLUSION: NLR and PLR are promising predictive and prognostic factors in advanced GC patients treated with NAC.

Radiotherapy-induced dynamic changes in the lymphocyte-to-monocyte ratio in patients with laryngeal cancer indicate poor prognosis.

Aim: We hypothesized that markers of inflammation correlate with response to radiotherapy in patients with non-metastatic laryngeal cancer (LC). Our aim was to assess peripheral and local markers of inflammation including lymphocyte to monocyte ratio (LMR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), infiltrating CD8+ lymphocytes (TILsCD8), and programmed death 1 ligand (PD-L1) expression. Methods: We performed a retrospective single-center analysis of LC patients administered definitive (R-RT) or postoperative radiotherapy (PORT). The primary endpoint was overall survival (OS) in relation to peripheral and local inflammatory markers and their dynamic changes during RT. Results: Study group included 215 patients (R-RT, n=116; PORT, n=99). The baseline (t0) NLR and LMR were significantly correlated with OS in the R-RT group. In patients with high and low NLR at t0, the five-year OS was 33% and 56% (p=0.010) and in high and low LMR at t0, the five-year OS was 56% and 27% (p=0.003), respectively. The LMR increase during R-RT predicted better prognosis: the five-year OS in high and low LMR was 57% and 31% at t2 (after 2 weeks of RT) (p=0.015), 49% and 26% at t4 (p< 0.001), and 50% and 25% at t6 (p=0.013), respectively. Multivariable analysis shows that the worse performance status (p=0.003), the presence of nodal metastases (p=0.0001), and low baseline LMR (p=0.049) in the R-RT group, and the presence of nodal metastases (p=0.035) and completion treatment on time (p=0.042) in PORT group were associated with poor prognosis. The PD-L1 expression had no significant prognostic value in any of the examined patients. Conclusion: The baseline LMR and its dynamic changes during R-RT and baseline NLR are independent prognostic factors in patients with nonmetastatic LC. PD-L1 expression and number of TILsCD8 have no prognostic value in R-RT and PORT group.

Association between inflammatory indexes and erectile dysfunction in U.S. adults: National Health and Nutrition Examination Survey 2001-2004.

Background: The association of inflammatory biomarkers with erectile dysfunction (ED) is still largely unknown. Aim: The study sought to explore the association of inflammatory biomarkers with ED in U.S. adults. Methods: Participant data for this study were extracted from the National Health and Nutrition Examination Survey, and individuals that lacked information on clinical variables were excluded. Dose-response curve analysis was applied to explore the association of inflammatory biomarkers with ED prevalence. The confounders were adjusted for with weighted logistic regression analysis. We employed 1:1 propensity score matching to eliminate the effects of clinical variables to confirm the reliability of the results. Outcomes: ED prevalence was investigated with potential risk factors. Results: A total of 2331 men ≥20 years of age who participated in the National Health and Nutrition Examination Survey 2001-2004 were included in this study. Compared with individuals without ED, ED cohort displayed higher levels of neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammatory index, and systemic inflammation response index. Dose-response curve analysis indicated ED prevalence increased with the increase of platelet-to-lymphocyte ratio, systemic immune-inflammatory index, and systemic inflammation response index. Weighed logistic regression analysis revealed neutrophil-to-lymphocyte ratio was positively associated with ED. The reliability of the results was confirmed by 1:1 propensity score matching reanalysis. Clinical Implications: Individuals with chronic inflammatory conditions should be alert for the development of ED. Strengths and Limitations: It is a large controlled study to investigate the relationship between inflammatory indexes and ED. However, it is a cross-sectional study and it lacks an accurate assessment of the degree of ED. Conclusion: Inflammatory biomarkers were associated with ED prevalence.

Sensing Approaches Exploiting Molecularly Imprinted Nanoparticles and Lossy Mode Resonance in Polymer Optical Fibers.

In this work, two different lossy mode resonance (LMR) platforms based on plastic optical fibers (POFs) are developed and tested in a biochemical sensing scenario. The LMR platforms are based on the combination of two metal oxides (MOs), i.e., zirconium oxide (ZrO2) and titanium oxide (TiO2), and deposited on the exposed core of D-shaped POF chips. More specifically, two experimental sensor configurations were obtained by swapping the mutual position of the Mos films over to the core of the D-shaped POF probe. The POF-LMR sensors were first characterized as refractometers, proving the bulk sensitivities. Then, both the POF-LMR platforms were functionalized using molecularly imprinted nanoparticles (nanoMIPs) specific for human transferrin (HTR) in order to carry out binding tests. The achieved results report a bulk sensitivity equal to about 148 nm/RIU in the best sensor configuration, namely the POF-TiO2-ZrO2. In contrast, both optical configurations combined with nanoMIPs showed an ultra-low detection limit (fM), demonstrating excellent efficiency of the used receptor (nanoMIPs) and paving the way to disposable POF-LMR biochemical sensors that are easy-to-use, low-cost, and highly sensitive.

Correlation of immune inflammatory indices and nutritional risk index with prognosis in patients with non-small cell lung cancer.

OBJECTIVE: To investigate the relationship of lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and nutritional risk index (NRI) with the prognosis of non-small cell lung cancer (NSCLC). METHODS: The clinical data of 400 NSCLC patients undergoing surgery at Shaoxing Shangyu Hospital of Traditional Chinese Medicine from January 2019 to June 2022 were collected for this retrospective analysis. The optimal cutoff values for NLR, PLR, LMR and NRI were determined using receiver operating characteristic (ROC) curves. The patients were grouped according to the optimal cutoff values, and the clinicopathological characteristics were compared between groups. The Kaplan-Meier survival curve and Cox risk model were used to identify the independent risk factors affecting the prognosis of patients with NSCLC. A nomogram risk prediction model was constructed and its effectiveness was verified. RESULTS: ROC curve analysis revealed that the area under the curve (AUC) values for NLR, PLR, LMR and NRI in predicting overall survival of NSCLC patients were 0.827, 0.753, 0.719 and 0.770, respectively. The optimal cutoff values for NLR, PLR, LMR and NRI were 2.49, 126.32, 3.02 and 89, respectively. Survival analysis found that the survival time was shorter in patients with NLR>2.49, PLR>126.32, LMR>3.02 and NRI≤89. Results from Cox model indicated that TNM staging, NLR>2.49, LMR>3.02, NRI≤89, surgical method, intraoperative blood loss, postoperative complication, and adjuvant chemotherapy were risk factors affecting the prognosis of NSCLC patients. A nomogram was constructed based on the results of multivariate analysis. The AUC of the nomogram was 0.967 (95% CI: 0.943-0.992) and 0.948 (95% CI: 0.874-1) in the training set and the test set, respectively. The C-index was 0.90 and 0.89, respectively. The calibration curve demonstrated good agreement between the predicted values of the nomogram and the actual observed values. CONCLUSION: NLR, LMR and NRI are significant predictors of the prognosis of patients with NSCLC. NLR>2.49, LMR>3.02, and NRI≤89 are risk factors for the prognosis of NSCLC patients.

Pretreatment lymphocyte-to-monocyte ratio as a prognostic factor and influence on dose-effect in fractionated stereotactic radiotherapy for oligometastatic brain metastases in non-small cell lung cancer patients.

Background: Studies on the prognostic factors for patients with brain oligo-metastasis treated with fractionated stereotactic radiotherapy (FSRT) usually focus on the size of metastatic tumor and radiation dose. Some inflammatory indicators have predictive value in non-small cell lung cancer (NSCLC) with brain metastasis receiving stereotactic radiotherapy. However, the prognostic value of inflammatory indicators in NSCLC patients with brain oligo-metastasis treated with FSRT, and their effect on radiotherapy dose is unknown. Methods: A total of 95 advanced NSCLC patients with brain oligo-metastasis who had undergone FSRT treatment at Ningbo Medical Center Lihuili Hospital between January 2015 and April 2022 were enrolled into the study. Neutrophil to lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), tumor diameter and biologically effective dose (BED10) were analyzed using Chi-square test. Univariate and multivariate Cox regressions were used to identify predictors of survival. Results: Tumor diameter (< 2 cm), BED10 (≥ 48Gy) and LMR (≥ 4) were found to be independently associated with good intracranial local control survival (i-LCS) through multivariate analysis. The median i-LCS was longer in patients with 2 independent risk factors (tumor diameter ≥ 2 and LMR < 4) administered with BED10 > 53.6Gy compared with patients administered with BED10 ≤ 53.6Gy (20.7 months vs 12.0 months, P = 0.042). LMR ≥ 4 (P = 0.019) and positivity for driver gene mutations (P = 0.011) were independently associated with better overall survival (OS). Conclusions: LMR is an independent prognostic factor of i-LCS and OS in NSCLC patients with brain oligo-metastasis treated with FSRT. Patients with tumor diameter ≥ 2 and LMR < 4 should be treated with BED10 greater than 53.6Gy.

Neutrophil-to-lymphocyte, platelet-to-lymphocyte and lymphocyte-to-monocyte ratios, any association with metabolic syndrome?

Background: Metabolic syndrome is a critical health concern associated with an elevated risk of chronic health problems including cardiovascular disease and diabetes. There are shreds of evidence that novel inflammatory ratios including neutrophil-to-lymphocyte, platelet-to-lymphocyte and lymphocyte-to-monocyte ratios serve as prognostic biomarkers for metabolic syndrome (MetS). This hypothesis was investigated in a cohort of the Iranian population. Methods: selection of MetS + subjects was based on the National Cholesterol Education Program Adult Treatment Panel III criteria 3 (NCEP ATP 3). The control group consisted of participants negative for any of the five MetS criteria. Demographic and laboratory data were extracted from the Tabari cohort study. Results: A total of 1930 subjects including 965 Mets positive and 965 MetS criteria negative participants were evaluated. Diabetes (84.8%), hypertension (48.9%), hypertriglyceridemia (81.7%), low HDL cholesterol (70.3%), and high waist circumference (78.9%) were observed in patients. There were no differences between NLR (1.66±0.71 vs. 1.69±0.72 P=0.42), LMR (11.23±3.13 vs. 11.30±11.99, P= 0.86) and PLR (113.85±68.67 vs 114.11±35.85, P=0.91) between case and control groups, respectively. Logistic regression analysis revealed no association between ratios and MetS risk even after adjusting for potential confounders including age, gender, living place, and BMI. Conclusion: In a relatively large population from Northern Iran, no association was observed between CBC-derived inflammatory ratios and the presence of MetS.

An Insight into Survivin in Relevance to Hematological, Biochemical and Genetic Characteristics in Tobacco Chewers with Oral Squamous Cell Carcinoma.

BACKGROUND: Survivin is an inhibitor of apoptosis protein (IAP), encoded by the Baculoviral IAP Repeat Containing 5 (BIRC5) gene located on q arm (25.3) on chromosome 17. It is expressed in various human cancers and involved in tumor resistance to radiation and chemotherapy. The genetic analysis of the BIRC5 gene and its protein survivin levels in buccal tissue related to oral squamous cell carcinoma (OSCC) in South Indian tobacco chewers has not been studied. Hence, the study was designed to quantify survivin in buccal tissue and its association with pretreatment hematological parameters and to analyze the BIRC5 gene sequence. METHOD: In a single centric case control study, buccal tissue survivin levels were measured by ELISA. A total of 189 study subjects were categorized into Group 1 (n = 63) habitual tobacco chewers with OSCC, Group 2 (n = 63) habitual tobacco chewers without OSCC, and Group 3 (n = 63) healthy subjects as control. Retrospective hematological data were collected from Group 1 subjects and statistically analyzed. The BIRC5 gene was sequenced and data were analyzed using a bioinformatics tool. RESULTS: Survivin protein mean ± SD in Group 1 was (1670.9 ± 796.21 pg/mL), in Group 2 it was (1096.02 ± 346.17 pg/mL), and in Group 3 it was (397.5 ± 96.1 pg/mL) with significance (p < 0.001). Survivin levels showed significance with cut-off levels of absolute monocyte count (AMC), neutrophil/lymphocyte ratio (NLR), and lymphocyte/monocyte ratio (LMR) at (p = 0.001). The unique variants found only in OSCC patients were T → G in the promoter region, G → C in exon 3, C → A, A → G, G → T, T → G, A → C, G → A in exon 4, C → A, G → T, G → C in the exon 5 region. CONCLUSIONS: The tissue survivin level increased in OSCC patients compared to controls; pretreatment AMC, LMR, and NLR may serve as add-on markers along with survivin to measure the progression of OSCC. Unique mutations in the promoter and exons 3-5 were observed in sequence analysis and were associated with survivin concentrations.

Association of pre-treatment lymphocyte-monocyte ratio with survival outcome in patients with head and neck cancer treated with chemoradiation.

BACKGROUND: Given the role of systematic inflammation in cancer progression, lymphocyte-monocyte ratio (LMR) from peripheral blood has been suggested as a biomarker to assess the extent of inflammation in several solid malignancies. However, the role of LMR as a prognostic factor in head and neck cancer was unclear in several meta-analyses, and there is a paucity of literature including patients in North America. We performed an observational cohort study to evaluate the association of LMR with survival outcomes in North American patients with head and neck cancer. METHODS: A single-institution, retrospective database was queried for patients with non-metastatic head and neck cancer who underwent definitive chemoradiation from June 2007 to April 2021 at the Roswell Park Comprehensive Cancer Center. Primary endpoints were overall survival (OS) and cancer-specific survival (CSS). The association of LMR with OS and CSS was examined using nonlinear Cox proportional hazard model using restricted cubic splines (RCS). Cox multivariable analysis (MVA) and Kaplan-Meier method were used to analyze OS and CSS. Pre-radiation LMR was then stratified into high and low based on its median value. Propensity scored matching was used to reduce the selection bias. RESULTS: A total of 476 patients met our criteria. Median follow up was 45.3 months (interquartile range 22.8-74.0). The nonlinear Cox regression model showed that low LMR was associated with worse OS and CSS in a continuous fashion without plateau for both OS and CSS. On Cox MVA, higher LMR as a continuous variable was associated with improved OS (adjusted hazard ratio [aHR] 0,90, 95% confidence interval [CI] 0.82-0.99, p = 0.03) and CSS (aHR 0.83, 95% CI 0.72-0.95, p = 0.009). The median value of LMR was 3.8. After propensity score matching, a total of 186 pairs were matched. Lower LMR than 3.8 remained to be associated with worse OS (HR 1.59, 95% CI 1.12-2.26, p = 0.009) and CSS (HR 1.68, 95% CI 1.08-2.63, p = 0.02). CONCLUSION: Low LMR, both as a continuous variable and dichotomized variable, was associated with worse OS and CSS. Further studies would be warranted to evaluate the role of such prognostic marker to tailor interventions.

The prognostic role of lymphocyte to monocyte ratio (LMR) in patients with Myelodysplastic Neoplasms.

BACKGROUND: Previous studies validated the prognostic significance of lymphocyte to monocyte ratio (LMR) in patients with solid tumors and some hematologic malignancies. However, the correlation between LMR and Myelodysplastic Neoplasms (MDS) was unclear. The study intends to investigate the prognostic impact of LMR on MDS patients. METHODS: 91 newly diagnosed MDS patients were included in this retrospective study. The cut-off of LMR was 3.2 by X-Tile. All patients were divided into the low LMR group (<3.2) and the high LMR group (≥3.2). Clinical characteristics were compared between the two groups. RESULTS: Patients in the high LMR group (n = 67) had better OS (P = 0.007) from the Kaplan-Meier survival curves. The results of the univariate analysis demonstrated that LMR was a prognostic factor for OS [hazard ratio (HR) = 2.070, 95%CI 1.201-3.571, P = 0.009]. After multivariate cox analysis, low LMR was confirmed to be an independent predictor of poor OS in MDS patients (HR = 1.872, 95%CI 1.084-3.230, P = 0.024). CONCLUSIONS: LMR, a representative marker of systematic inflammation and immune response, has potential prognostic significance in MDS patients.

Prognostic value of multiple immune inflammatory markers in diffuse large B-cell lymphoma.

OBJECTIVE: To explore the prognostic value of multiple immune inflammatory indicators for diffuse large B-cell lymphoma (DLBCL). METHODS: The clinical data of 175 patients with DLBCL who were diagnosed and received Immunochemotherapy in The Qinzhou First People's Hospital between January 2015 and December 2021 were retrospectively analyzed for this study. Patients were classified into a death group (n = 54) and a survival group (n = 121) depending on their prognosis. The clinical data of the patients with lymphocytes-to-beads (LMR), neutrophils-to-lymphocytes (NLR), and platelets-to-lymphocytes (PLR) were collected. The receiver operator characteristic curve (ROC) was used to determine the optimal critical value of the immune index. The Kaplan-Meier was used to draw the survival curve. The Cox regression model was used to analyze the factors affecting the prognosis of DLBCL. A nomogram risk prediction model was constructed to verify its effectiveness. RESULTS: By the ROC curve analysis, the optimal cut-off value was 3.93 × 109/L for neutrophil count, 2.42 for LMR, 23.6 mg/L for C-reactive protein (CPR), 2.44 for NLR, 0.67 × 109/L for Monocyte, and 195.89 for PLR. The survival rate of patients with neutrophil number ≤ 3.93 × 109/L, LMR > 2.42, CRP ≤ 23.6 mg/L, NLR ≤ 2.44, Monocyte ≤ 0.67 × 109/L, PLR ≤ 195.89 was higher than that of patients with neutrophil number > 3.93 × 109/L, LMR ≤ 2.42, CRP > 23.6 mg/L, NLR > 2.44, and Monocyte > 0.67 × 109/L, PLR > 195.89. The nomogram was constructed based on the results of the multivariate analysis. The AUC of the nomogram was 0.962 (95% CI: 0.931-0.993) and 0.952 (95% CI: 0.883-1) in the training set and the test set, respectively. The calibration curve showed that the predicted value of the nomogram was in good agreement with the actual observed value. CONCLUSION: IPI score, neutrophil count, NLR, and PLR are risk factors impacting the prognosis of DLBCL. The combined prediction of IPI score, neutrophil count, NLR, and PLR can better reflect the prognosis of DLBCL. It can be used as a clinical index to predict the prognosis of diffuse large B-cell lymphoma, and provide clinical basis for improving the prognosis of patients.

Inflammation-Based Prognostic Scores in Pancreatic Cancer Patients-A Single-Center Analysis of 1294 Patients within the Last Decade.

Inflammatory properties are known to promote tumor progression leading to an impaired median overall survival (mOS). Various small studies have focused on a wide range of inflammation-based prognostic indicators. By using sufficient data from 1294 out of 2323 patients diagnosed with pancreatic cancer between 2009 and 2021 at our cancer center, inflammatory markers such as the neutrophil to lymphocyte ratio (NRL), the platelet to lymphocyte ratio (PLR), the lymphocyte to monocyte ratio (LMR) and the CRP to albumin ratio (CAR) were evaluated. We identified a new combined score, termed the inflammatory benchmark index (IBI). We performed univariate and multivariate overall survival analyses and identified optimal prognostic cut-off values for each parameter. In univariate analyses, advanced age (p < 0.001), gender (p < 0.001), tumor stage (p < 0.001), CA19-9 (p = 0.001), NLR (p = 0.001), LMR (p = 0.004), PLR (p = 0.004), CAR (p = 0.001) and IBI (p = 0.001) were identified as prognostic markers. In multivariate analyses advanced age (p < 0.001), gender (p = 0.001), tumor stage (p < 0.001), CA19-9 (p < 0.001), NLR (p = 0.001), LMR (p = 0.038), CAR (p < 0.001) and IBI (p < 0.001) were independent prognostic markers. These findings emphasize the impact of inflammation in pancreatic cancer, provide easily accessible prognostic values for the clinician, and may be useful as stratification parameters for trials aimed at patient inflammation or immune response.

Neutrophil/Lymphocyte Ratio (NLR) and Lymphocyte/Monocyte Ratio (LMR) - Risk of Death Inflammatory Biomarkers in Patients with COVID-19.

Aim: The aim of our retrospective study was search for new prognostic parameters, which can help quickly and cheaply identify patients with risk for severe course of SARS-CoV-2 infection. Materials and Methods: The following peripheral blood combination biomarkers were calculated: NLR (neutrophil/lymphocytes ratio), LMR (lymphocyte/monocyte ratio), PLR (platelet/lymphocyte ratio), dNLR (neutrophils/(white blood cells - neutrophils)), NLPR (neutrophil/(lymphocyte × platelet ratio)) in 374 patients who were admitted to the Temporary Hospital no 2 of Clinical Hospital in Bialystok (Poland) with COVID-19. The patients were divided into four groups depending on the severity of the course of COVID-19 using MEWS classification. Results: The NLR and dNLR were significantly increased with the severity of COVID-19, according to MEWS score. The AUC for the assessed parameters was higher in predicting death in patients with COVID-19: NLR (0.656, p=0.0018, cut-off=6.22), dNLR (0.615, p=0.02, cut-off=3.52) and LMR (0.609, p=0.03, cut-off=2.06). Multivariate COX regression analysis showed that NLR median above 5.56 (OR: 1.050, P=0.002), LMR median below 2.23 (OR: 1.021, P=0.011), and age >75 years old (OR: 1.072, P=0.000) had a significant association with high risk of death during COVID-19. Conclusion: Our results indicate that NLR, dNLR, and LMR calculated on admission to the hospital can quickly and easy identify patients with risk of a more severe course of COVID-19. Increase NLR and decrease LMR have a significant predictive value in COVID-19 patient's mortality and might be a potential biomarker for predicting death in COVID-19 patients.

Relationships Between Systemic Inflammatory Markers and 18F-FDG PET/CT Imaging and Clinical Findings in Pulmonary Sarcoidosis.

Background and aim Sarcoidosis is a multisystem inflammatory disease of unknown aetiology. This study aimed to evaluate the relationship between systemic inflammatory parameters, the systemic immune-inflammation index (SII) and the lymphocyte-to-monocyte ratio (LMR), and disease stage, clinical findings, and 18F-fluoro-2-deoxy-D-glucose (18F-FDG) tomography/computed tomography (PET/CT) uptake. Materials and methods Our study included 73 patients. The general characteristics, radiological features, spirometric tests, PET/CT findings, and laboratory parameters of the patients were recorded. Results Relapse and parenchymal fibrosis were not associated with metabolic parameters, such as LMR and SII. Serum angiotensin-converting enzyme (ACE) levels were lower in the relapsed group than in the non-relapse group. However, the patients' PET/CT images indicated that 18F-FDG parenchym maximum standard uptake value (SUV max), lymph node SUV max, lymph node short axis dimension, SII, and LMR were similar between all patients, relapsed or not. Conclusion Although found to be significant in other inflammatory diseases, we found that SII and LMR alone did not indicate disease prognosis in sarcoidosis due to the small number of patients and the lack of homogeneity between the groups in our study. The usefulness of these markers for clinical use should be investigated by studies that include those with extrapulmonary sarcoidosis, and that calculate these markers at the time of disease diagnosis and during the post-treatment period.