Hepatocellular carcinoma (HCC) is a common malignancy with high mortality. Liver resection (LR) is a curative treatment for early-stage HCC, but the prognosis of HCC patients after LR is unsatisfactory because of tumor recurrence. Prognostic prediction models with great performance are urgently needed. The present study aimed to establish a novel prognostic nomogram to predict tumor recurrence in HCC patients after LR.

We retrospectively analyzed 726 HCC patients who underwent LR between October 2011 and December 2016. Patients were randomly divided into the training cohort (n = 508) and the testing cohort (n = 218). The protein expression of 14 biomarkers in tumor tissues was assessed by immunohistochemistry. The nomogram predicting recurrence-free survival (RFS) was established by a multivariate Cox regression analysis model and was evaluated by calibration curves, Kaplan-Meier survival curves, time-dependent areas under the receiver operating characteristic (ROC) curves (AUCs), and decision curve analyses in both the training and testing cohorts.

Alpha-fetoprotein [hazard ratio (HR) = 1.013, P = 0.002], portal vein tumor thrombosis (HR = 1.833, P < 0.001), ascites (HR = 2.024, P = 0.014), tumor diameter (HR = 1.075, P < 0.001), E-cadherin (HR = 0.859, P = 0.011), EMA (HR = 1.196, P = 0.022), and PCNA (HR = 1.174, P = 0.031) immunohistochemistry scores were found to be independent factors for RFS. The 1-year and 3-year AUCs of the nomogram for RFS were 0.813 and 0.739, respectively. The patients were divided into the high-risk group and the low-risk group by median value which was generated from the nomogram, and Kaplan-Meier analysis revealed that the high-risk group had a shorter RFS than the low-risk group in both the training (P < 0.001) and testing cohorts (P < 0.001).

Our newly developed nomogram integrated clinicopathological data and key gene expression data, and was verified to have high accuracy in predicting the RFS of HCC patients after LR. This model could be used for early identification of patients at high-risk of postoperative recurrence.

The study aimed to create and validate a straightforward nomogram to predict portal vein thrombosis (PVT) in cirrhotic patient post-splenectomy, and investigate the predictive potential of systemic inflammation markers. One objective of the study was to develop a predictive model utilizing these markers to detect high-risk individuals early on.

A retrospective analysis was conducted on 184 cases of patients with cirrhosis who underwent splenectomy at The First Affiliated Hospital of University of South China from January 2015 to September 2023. The cohort was randomly divided into training (n = 130) and validation (n = 54) groups. Univariate and multivariate logistic regression analysis was employed to construct the prediction model. The performance of the nomogram was evaluated based on its ability to discriminate, calibrate, and demonstrate clinical utility.

According to univariate and multivariate logistic regression analysis, we found six prediction indexes of PVT in patients with cirrhosis after splenectomy: postoperative neutrophil-to-lymphocyte ratio (NLR), postoperative derived NLR (dNLR), C-reactive protein to albumin ratio (CAR), portal vein diameter (DPV), platelet change value (PVB), and D-dimer (p-value < 0.05). Our clinical prediction model was created based on the aforementioned risk factors and demonstrated superior predictive power in both the primary cohort (AUC = 0.876) and validation cohort (AUC = 0.817). The calibration curve demonstrated satisfactory agreement between model predictions and actual observations, and the decision curve analysis (DCA) curve indicated high clinical net benefit.

Postoperative NLR, dNLR, CAR, PVB, DPV, and D-dimer were identified as the independent risk factors of PVT in cirrhotic patients post splenectomy. We had successfully established and validated a novel predictive model with good performance, based on systemic inflammatory indices in predicting PVT in cirrhosis after splenectomy.

Patients with malignant biliary obstruction (MBO) are often treated with endoscopic retrograde cholangiopancreatography (ERCP) combined with biliary stent placement for tumor progression. However, certain patients die within 30 days after the procedure, increasing healthcare resource consumption and patient burden. Therefore, the development of early mortality prediction models is important for optimizing treatment decisions. The present study retrospectively analyzed the clinical data of 285 patients with MBO, including demographic information, laboratory indicators and tumor-related factors. Logistic regression and artificial neural network (ANN) models were used to construct a prediction tool, and the model performance was evaluated using area under the curve (AUC), accuracy, sensitivity and specificity. The logistic regression model, which identified the cancer antigen 19-9 (CA19-9) level and a history of previous ERCP surgery as independent risk factors, had an AUC of 0.727 and an accuracy of 65.0%. The ANN model, which combined five variables, namely CA19-9, history of previous ERCP surgery, neutrophil-lymphocyte ratio (NLR), liver metastasis and carcinoembryonic antigen, demonstrated that NLR was the most weighted predictor. Furthermore, the ANN model had an AUC of 0.813, an accuracy of 88.2% and a specificity that was markedly higher than that of the logistic regression model (95.5 vs. 83.3%). However, the ANN model was revealed to be slightly less sensitive compared with the logistic regression model (61.1 vs. 61.2%). In conclusion, compared with logistic regression, the ANN model had a greater performance level in terms of predictive power and specificity, and is suitable for capturing complex non-linear relationships. However, its complexity and risk of overfitting need to be further optimized. The present study provides a new tool for the accurate prediction of the risk of early death after ERCP in patients with MBO, which could help improve individualized treatment strategies.

The efficacy of atezolizumab-bevacizumab in patients with hepatocellular carcinoma (HCC) has not been studied separately in cirrhotic and non-cirrhotic patients. Our aim was to evaluate the efficacy of atezolizumab-bevacizumab in these patients, in relation to baseline values of the neutrophil-to-lymphocyte ratio (NLR).

We divided 57 atezolizumab-bevacizumab-treated HCC patients according to baseline NLR (>3: NLR-H, ≤3: NLR-L) and studied overall survival (OS) and progression-free survival (PFS) in 4 groups: group A, non-cirrhotic/NLR-L; group B, non-cirrhotic/NLR-H; group C, cirrhotic/NLR-L; and group D, cirrhotic/NLR-H.

The 4 groups were comparable except for etiology, ALBI grade, macrovascular invasion, Barcelona Clinic Liver Cancer stage and prior therapy. Median OS and PFS were 30, 10, 12 and 5 months, and 14, 4, 8 and 2 months, for groups A, B, C, D, respectively (P<0.001). By Cox regression, cirrhotic/NLR-H patients showed significantly worse OS and PFS. Cirrhotic/NLR-L patients had better OS (12 vs. 5 months, P=0.002) and PFS (8 vs. 2 months, P=0.028) compared to cirrhotic/NLR-H. NLR was significantly correlated with OS (P=0.015). Non-cirrhotic/NLR-L patients had better OS (30 vs. 10 months, P=0.006) and PFS (15 vs. 4 months, P=0.01) compared to non-cirrhotic/NLR-H patients. Prior therapy was significantly correlated with better OS (30 vs. 8 months, P<0.001) and PFS (24 vs. 4 months, P<0.001) in non-cirrhotic patients.

Cirrhotic/NLR-H HCC patients presented the worst survival. NLR is an independent risk factor for worse survival in cirrhotic patients. Prior therapy is the only factor significantly correlated with OS and PFS in non-cirrhotic patients.

Postoperative delirium (POD) is a common complication following cardiac surgery that significantly affects patient outcomes. Among inflammatory markers, the monocyte-to-lymphocyte ratio (MLR) has shown potential in predicting POD. However, studies on the relationship between neutrophil-to-lymphocyte ratio (NLR) or platelet-to-lymphocyte ratio (PLR) and POD are still lacking. Moreover, a direct comparison of the predictive capabilities of these three inflammatory markers (NLR, MLR, and PLR) for POD remains unexplored.

This observational study utilized the MIMIC database. We included 2,095 patients who underwent cardiac surgery. Multivariable logistic regression analysis, restricted cubic spline (RCS) analysis, and receiver operating characteristic (ROC) curve analysis were employed to assess the relationship between NLR, MLR, PLR, and POD.

POD occurred in 415 patients (19.8%). Multivariable logistic regression identified NLR (OR 1.05, 95% CI 1.03-1.08), MLR (OR 1.39, 95% CI 1.01-1.92), and PLR (OR 1.00, 95% CI 1.00-1.00) as independent risk factors for POD, all with P-values < 0.05. ROC curve analysis revealed NLR had the strongest predictive ability (AUC = 0.610, 95% CI: 0.589-0.631), outperforming MLR (AUC = 0.575, 95% CI: 0.553-0.596) and PLR (AUC = 0.553, 95% CI: 0.531-0.574). RCS analysis indicated linear or near-linear relationships between these markers and POD risk.

NLR, MLR, and PLR independently predicted postoperative delirium following cardiac surgery, with NLR demonstrating the strongest predictive capacity. These findings provided new tools for preoperative risk assessment and may improve postoperative management strategies for cardiac surgery patients.

This study aimed to evaluate the prognostic significance of changes in inflammatory markers in patients with Hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) treated with first-line lenvatinib plus a programmed cell death protein 1 (PD-1) inhibitor.

This study retrospectively included 117 HBV-HCC patients treated with first-line lenvatinib in combination with a PD-1 inhibitor. Independent factors affecting progression-free survival (PFS) and overall survival (OS) were explored based on baseline indicators and inflammatory markers changes after one treatment cycle.

Multivariate analysis revealed that an alpha-fetoprotein (AFP) level ⩾ 400 ng/mL [hazard ratio (HR), 1.69; 95% confidence interval (CI), 1.11-2.58; P = 0.01] was identified as an independent risk factor, platelet-to-neutrophil ratio (PNR) ⩽ 65.43 (HR 0.50; 95% CI 0.30-0.84; P < 0.01 ) and SII ⩽ 539.47 (HR 0.54; 95% CI 0.30-0.96; P = 0.03) were identified as independent protective factors for PFS. Additionally, multivariate analysis demonstrated that AFP ⩾ 400 ng/mL, HBV-HCC patients with diabetes mellitus (DM), and SII > 303.66 were independent risk factors of OS. The patients whose SII had increased after one cycle of treatment showed a poorer PFS (HR 1.61; 95 %CI 1.10-2.37; P = 0.015) and OS (HR 1.76; 95 % CI 1.15-2.70; P = 0.009) than patients whose SII had decreased. The objective response rate (ORR) was higher in the SII-decreased patients (47.5% vs 32.5%, P = 0.11). Mann-Whitney test found a significant difference in therapeutic response between the SII-increased patients and the SII-decreased patients (P = 0.04).

SII can be associated with outcomes in patients with HBV-HCC treated with first-line lenvatinib plus PD-1 inhibitors.

Background/Objectives: Hepatocellular carcinoma (HCC) is the most common primary hepatic malignancy. Barcelona Clinic Liver Cancer (BCLC) guidelines recommend antiangiogenic agents with immune checkpoint inhibitors as first-line therapy for advanced HCC. We present our experience of treating HCC patients with Atezolizumab-Bevacizumab, their response rates, adverse events, survival, and response and survival predictors. Methods: This retrospective analysis included HCC patients diagnosed at All India Institute of Medical Sciences, New Delhi, India between July 2021 and April 2024 and receiving at least one dose of Atezolizumab-Bevacizumab. The primary outcome was overall response rate (ORR), comprising complete response (CR) and partial response (PR), as per mRECIST criteria. Secondary outcomes were overall survival (OS), progression-free survival (PFS), and predictors of response and survival. Results: Sixty-three patients were analyzed {mean age: 56.0 + 12.7 years; 82.5% males}. Forty-three (68.2%) patients had BCLC stage C HCC. Thirty-five (55.5%) patients belonged to Child-Pugh class A and 28 (44.5%) belonged to Child-Pugh class B. At 1 year, OS was 39% and PFS was 27%. Among 43 patients with data for radiological response, ORR was 48.8% (CR-9.3% and PR-39.5%) and DCR was 62.7% with stable disease (SD) in 13.9% of patients. PD occurred in 37.2% of patients. AFP response predicted radiological response, while Child-Pugh class and BCLC stage predicted survival. Adverse events were reported in 49.2% of patients. Conclusions: Our study shows slightly lower survival than previous studies with Child-Pugh class being the most important determinant of survival. AFP response predicts radiological response and not survival.

Development of a prediction model using machine learning (ML) method for tumor progression in oral squamous cell carcinoma (OSCC) patients would provide risk estimation for individual patient outcomes.

This predictive modeling study was conducted of 1163 patients with OSCC from Hospital of Stomatology, SYSU and SYSU Cancer Center from March 2009 to October 2021. Clinical, pathological, and hematological features of the patients were collected. Six ML algorithms were explored, and model performance was assessed by accuracy, sensitivity, specificity, f1 score, and AUC. SHAP values were used to identify the variables with the greatest contribution to the model.

Among the 1163 patients (mean [SD] age, 55.36 [12.91] years), 563 are from development cohort and 600 are from validation cohort. The Logistic Regression algorithm outperformed all other models, with a sensitivity of 94.7% (68.2%), a specificity of 55.3% (63.7%), and the AUC of 0.76 ± 0.09 (0.723) in the development (validation) cohort. The most predictive feature was neutrophil count.

This study demonstrated ML models can improve clinical prediction of oral squamous cell carcinoma progression through basic information of patients. These tools could be used to provide individual risk estimation and may help direct intervention.

Advanced hepatocellular carcinoma (HCC) poses treatment challenges, especially where access to multi-kinase inhibitors and ICIs is limited by high costs and lack of insurance. This study evaluates the effectiveness of 5-fluorouracil (5-FU) plus platinum-based chemotherapy as an alternative systemic treatment for advanced HCC. A retrospective analysis of advanced HCC patients treated with 5-FU plus platinum-based chemotherapy was conducted. The Kaplan-Meier method determined median progression-free survival (PFS) and overall survival (OS). From April 2009 to October 2023, 48 patients with advanced HCC were included in the study. Nearly all patients (97.9%) had extrahepatic metastasis and stable liver function, with three-quarters previously treated with sorafenib. At a median follow-up of 7.8 months, the median PFS was 4.2 months (95% CI, 1.3-7.1), and the median OS was 8.2 months (95% CI, 2.5-13.9). A high pretreatment neutrophil-to-lymphocyte ratio (≥ 3.0) adversely affected both PFS (HR = 1.79; 95% CI, 0.99-3.25; p = 0.034) and OS (HR = 2.02; 95% CI, 1.10-3.69; p = 0.011). Hematologic toxicities related to the treatment were substantial, with 62.5% of patients experiencing grade 3 or 4 events, primarily neutropenia, which affected 60.4% of them. Our findings suggest that 5-FU combined with platinum-based chemotherapy is a viable, cost-effective alternative for advanced HCC treatment in resource-limited settings, particularly compared to ICIs and multi-kinase inhibitors, with significant implications for developing countries.

Predicting the efficacy of immune-based therapy in patients with unresectable hepatocellular carcinoma (HCC) remains a clinical challenge. This study aims to evaluate the prognostic value of the systemic immune-inflammation index (SII) in forecasting treatment response and survival outcomes for HCC patients undergoing immune-based therapy.

We analyzed a cohort of 268 HCC patients treated with immune-based therapy from January 2019 to March 2023. A training cohort of 93 patients received atezolizumab plus bevacizumab (T + A), while a validation cohort of 175 patients underwent treatment with tyrosine kinase inhibitors (TKIs) combined with anti-PD-(L)1 therapy. The SII cutoff value, determined using X-tile analysis based on overall survival (OS) in the training cohort, divided patients into high (> 752*109) and low (≤ 752*109) SII groups. Prognostic factors were identified through univariate and multivariate logistic and Cox regression analyses, and survival outcomes were assessed using Kaplan-Meier methods. The predictive accuracy of SII was evaluated using receiver operating characteristic (ROC) curves.

An optimal SII cutoff of 752*109 stratified patients into high and low SII groups. Univariate and multivariate logistic regression indicated that SII was a significant predictor of the objective response rate (ORR), which was markedly different between the low and high SII subgroups (34.72% vs. 9.52%, P = 0.019). This finding was consistent in the validation cohort (34.09% vs. 16.28%, P = 0.026). SII also demonstrated prognostic value in Cox regression and Kaplan-Meier analyses. ROC curves confirmed that SII had superior predictive accuracy compared to common clinical indicators, with predictive relevance even in AFP-negative patients. Furthermore, a lower SII was associated with a higher T cell ratio and an increased number of CD8+ T cells and Granzyme B+ CD8+ T cells in peripheral blood.

SII is a promising predictor of both therapeutic efficacy and prognosis in HCC patients undergoing immune-based treatments. Its application may enhance clinical decision-making, thereby improving patient outcomes from immune-based therapy.

Neutrophils have a pivotal role in safeguarding the host against pathogens and facilitating tissue remodeling. They possess a large array of tools essential for executing these functions. Neutrophils have a critical role in cancer, where they are largely associated with negative clinical outcome and resistance to therapy. However, the specific role of neutrophils in cancer is complex and controversial, owing to their high functional diversity and acute sensitivity to the microenvironment. In this Perspective, we discuss the accumulated evidence that suggests that the functional diversity of neutrophils can be ascribed to two principal functional states, each with distinct characteristics: classically activated neutrophils and pathologically activated immunosuppressive myeloid-derived suppressor cells. We discuss how the antimicrobial factors in neutrophils can contribute to tumor progression and the fundamental mechanisms that govern the pathologically activated myeloid-derived suppressor cells. These functional states play divergent roles in cancer and thus require separate consideration in therapeutic targeting.

Fetal growth restriction (FGR) is a critical pregnancy complication linked to increased perinatal morbidity and mortality. Inflammation plays a key role in FGR's pathophysiology, and systemic inflammation markers may serve as predictors. This study evaluates the role of various inflammation indices; systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), pan-immune-inflammation value (PIV), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), lymphocyte-to-platelet ratio (LMR), monocyte-to-platelet ratio (MPR), aggregate systemic inflammation index (AISI), systemic coagulation inflammation index (SCII), and immature granulocyte percentage (IG%) in predicting FGR.

This retrospective study included 403 pregnant women treated at Ankara Etlik City Hospital between August 2022 and May 2024. The study population comprised 202 women with uncomplicated pregnancies (control group) and 201 women diagnosed with FGR per the Delphi Consensus Criteria. Second-trimester blood samples were used to calculate the inflammatory indices.

SII and NLR levels were significantly higher in the FGR group compared to controls (p = 0.020, p = 0.028, respectively). However, no significant associations were found between these indices and adverse neonatal outcomes. Cut-off values for SII and NLR were 896 and 3.91, respectively, with moderate sensitivity and specificity.

SII and NLR, measured in the second trimester, may be useful in predicting FGR. Although these indices did not correlate with adverse neonatal outcomes, further prospective studies with larger populations are needed to validate their clinical utility.

Liver transplantation (LT) is an effective method for curing hepatocellular carcinoma (HCC). However postoperative tumor recurrence can lead to higher mortality rates. To select suitable candidates for LT, the Milan Criteria (MC) were first proposed based on tumor morphological characteristics. For those patients who meet the MC, the MC can effectively reduce the postoperative tumor recurrence rate and improve the prognosis of patients undergoing LT. It has always been internationally recognized as the gold standard for selecting candidates for LT, marking a milestone in the history of LT for HCC. However, its strict conditions exclude some HCC patients who could benefit from LT. Therefore, comprehension consideration criteria, including serum biomarkers, tumor histology, and other factor, have been continuously proposed in addition to tumor morphology. This article summaries the prediction model for HCC recurrence after LT from five aspects: tumor morphology, serum markers, histopathology, cellular inflammatory factors and downstaging treatment before transplantation. The aim is to assist clinicians in accurately assessing HCC status, selecting appropriate liver transplant candidates, maximize graft and patients' survival, and optimizing the utilization of social health resources.

To explore clinical features and prognosis of hepatocellular carcinoma (HCC) in hepatitis B virus surface antigen (HBsAg)-serocleared patients and identify risk factors associated with postoperative recurrence after curative hepatectomy.

Patients who had undergone initial hepatectomy for HCC from January 2010 through December 2022. Clinicopathological data were compared between HBsAg-seropositive and HBsAg-serocleared patients. Furthermore, risk factors associated with early and late postoperative HCC recurrence (early and late recurrences (ER and LR), respectively) were analyzed for HBsAg-serocleared HCC patients treated by curative hepatectomy.

A total of 2184 consecutive patients undergoing initial hepatectomy for HCC were enrolled, including 339 (15.5%) HBsAg-serocleared and 1845 (84.5%) HBsAg-seropositive cases. Tumor characteristics were comparable between the two groups. After curative hepatectomy, the ER rate was lower in the HBsAg-serocleared group than in the HBsAg-seropositive group (16.2% vs 26.3%; p = 0.000). LR rates in the HBsAg-seropositive and HBsAg-serocleared groups were similar (8.3% vs 6.9%, respectively, p = 0.418). Multivariate analysis showed that among HBsAg-serocleared patients, Hong Kong Liver Cancer stage and microvascular invasion were risk factors associated with postoperative ER, while γ-glutamyl transferase level and neutrophil-to-lymphocyte ratio were associated with LR.

HBsAg-serocleared and HBsAg-seropositive HCC patients exhibited similar tumor characteristics. Curative hepatectomy-treated HBsAg-serocleared HCC patients experienced a lower ER rate and better short-term (⩽3 years) overall survival (OS) rates than their HBsAg-seropositive counterparts. LR, very late recurrence, and long-term (4-, and 5-year) OS rates were similar between the two groups.

The safety of liver transplantation and simultaneous splenectomy (LTSP) is still controversial. This study aimed to compare postoperative outcomes and infection in liver transplant recipients with and without simultaneous splenectomy.

Clinical data of patients who underwent liver transplantation (LT) from May 2015 to March 2023 in the First Affiliated Hospital of Anhui Medical University were retrospectively analyzed. The main parameters measured were culture results, infection incidence, pathogens, postoperative complications, and overall survival rates.

Of 149 patients, 35 who underwent LTSP were assigned to the LTSP group, and the remaining 114 were assigned to the LT group. The postoperative infection incidence in the LTSP group was significantly higher than in the LT group within 1 month after transplantation. The two groups had no significant differences in pathogens details and overall survival rate. SP, postoperative days (POD) 3 Neutrophil to lymphocyte ratio (NLR), POD 7 NLR, and POD 7 Hemoglobin (HGB) were independent risk factors for postoperative infection in multivariate analysis.

LTSP increases the risk of short-term postoperative infections, and postoperative NLR can be used as a marker of infection.

Neutrophilic cells are among the most abundant immune populations within the head and neck tumor microenvironment (TME) and harbor multiple mechanisms of immunosuppression. Despite these important features, neutrophilic cells may be underrepresented in contemporary studies that aim to comprehensively characterize the immune landscape of the TME due to discrepancies in tissue processing and analysis techniques. Here, we review the role of pathologically activated neutrophilic cells within the TME and pitfalls of various approaches used to study their frequency and function in clinical samples.

The literature was identified by searching PubMed for "immune landscape" and "tumor immune microenvironment" in combination with keywords describing solid tumor malignancies. Key publications that assessed the immune composition of solid tumors derived from human specimens were included. The tumor and blood processing methodologies in each study were reviewed in depth and correlated with the reported abundance of neutrophilic cells.

Neutrophilic cells do not survive cryopreservation, and many studies fail to identify and study neutrophilic cell populations due to cryopreservation of clinical samples for practical reasons. Additional single-cell transcriptomic studies filter out neutrophilic cells due to low transcriptional counts.

This report can help readers critically interpret studies aiming to comprehensively study the immune TME that fail to identify and characterize neutrophilic cells.

Lymphopenia and high neutrophil-to-lymphocyte ratio are known negative prognostic factors in rectal cancer. Until recently, however, lymphopenia was regarded as a minor sequela following radiation therapy (RT). The immune system's influence on rectal cancer treatment outcomes led us to evaluate the impact of lymphopenia at various time points, before, during, and following radiotherapy. We hypothesized that chronic lymphopenia following radiotherapy might negatively influence the survival of patients, and pre-treatment lymphopenia may be predictive of poor outcomes.

This retrospective study involved 110 patients treated for rectal cancer between 2015 and 2019. The oncological outcomes are defined as alive without disease (AWOD), alive with disease (AWD), and death. These outcome probabilities tested against variables of lymphopenia before RT, during RT, and at several post-RT follow-up time points.

At the end of the study, 69 patients were AWOD (63 %), 13 were AWD (12 %) and 28 had died (25 %). Treatment results were assessed with according level of lymphocytes measured one year following RT: 35 out of 39 patients (89.7 %) with normal values were AWOD. In 65 patients with sustained lymphopenia, 52 % were AWOD, 18.5 % AWD and 29 % died. A similar difference was found at all time-points up to 2 years following RT (p < 0.004). The results of our study shows that pre-existing lymphopenia (prior to RT) is associated with a 3 times greater chance of death compared to patients with normal lymphocyte levels prior to RT. The PFS significantly affected by lymphopenia at all time-points after RT. An NLR of more than 4 was associated with a 3-time higher risk of recurrence than lower NLR scores (p = 0.0054).

Our results support the relevance of lymphopenia and NLR in the prognosis of rectal cancer. We believe this is the first study showing a negative correlation between sustained lymphopenia and OS following RT.

Lenvatinib (LEN) is the standard treatment for hepatocellular carcinoma (HCC). In clinical practice, gastrointestinal (GI) symptoms such as fatigue and loss of appetite often lead to dose reduction or treatment discontinuation. This study aimed to identify the predictors of patients who will experience dose reduction or treatment discontinuation owing to fatigue or GI symptoms during LEN treatment for HCC.

We retrospectively identified 99 patients who received LEN at the Ogaki Municipal Hospital (Ogaki, Japan) between April 2018 and December 2023. To investigate the risk factors for treatment discontinuation or dose reduction due to fatigue or GI symptoms during LEN administration, patients were divided into two groups based on whether treatment discontinuation or dose reduction occurred due to fatigue or GI symptoms during LEN administration (37 patients) or not (62 patients). We compared baseline characteristics between the two groups.

Multivariate analysis revealed that body weight (odds ratio 4.310, 95% confidence interval 1.380-13.500; P = 0.002) was an independent risk factor that significantly contributed to treatment discontinuation or dose reduction owing to fatigue or GI symptoms during LEN administration. The cut-off value calculated using the body weight curve was 55.0 kg. Using this cutoff value, the sensitivity and specificity of body weight to detect treatment discontinuation or dose reduction due to fatigue or GI symptoms during LEN administration were 83.9% and 56.8%, respectively.

In clinical practice, patients weighing less than 55 kg who start with a full dose will likely experience weight loss or discontinuation during treatment.

This study aims to evaluate the neutrophil-to-lymphocyte ratio (NLR) as a predictive biomarker for cardiovascular mortality among cancer patients, utilizing data from the National Health and Nutrition Examination Survey (NHANES). From the NHANES dataset (2007-2018), we analyzed 4974 cancer survivors, investigating the prognostic significance of NLR for all-cause, cardiovascular, and cancer-specific mortality. Survival outcomes were analyzed using Cox regression and Kaplan-Meier methods. Optimal NLR cutoffs were identified as 2.61 for differentiating the higher NLR group from lower NLR group. Elevated NLR levels significantly correlated with increased all-cause mortality (HR 1.11, 95% CI 1.07-1.14, P < 0.001) and cardiovascular mortality (HR 1.14, 95% CI 1.08-1.21, P < 0.001) in adjusted models. Subgroup analyses revealed that age, sex, smoking status, and hypertension significantly influence NLR's association with cardiovascular mortality. Specific cancers including breast, prostate, non-melanoma skin, colon and melanoma experience increased all-cause and cardiovascular mortality in the higher NLR group compared to lower NLR group. Elevated NLR is a significant predictor of increased mortality in cancer patients, particularly for cardiovascular outcomes. These findings support that NLR acts as a pivotal prognostic tool with significant implications for clinical practice in the realm of cardio-oncology.

Systemic immune-inflammatory markers combine various individual inflammatory cell parameters to comprehensively explore their relationship with the development and long-term outcomes of cardiovascular, cerebrovascular, and oncological disorders. The systemic immune-inflammatory marker index has not been extensively studied in terms of its impact on the long-term prognosis following cerebral revascularization in MMD patients. Our research aims to address this gap and improve the prediction of long-term outcomes for these patients.

We included 851 patients with Moyamoya disease who underwent cerebral revascularization at our medical center from 2009 to 2021. Systemic immune-inflammatory markers were calculated based on routine blood test results at admission, and follow-up was conducted for over 6 months after surgery. During monitoring and upon release, we evaluated patient neurological condition by utilizing the modified Rankin Scale (mRS). We examined the correlation between alterations in mRS ratings and systemic immune-inflammatory markers.

Comparing the unfavorable long-term prognosis group to the favorable long-term prognosis group, it was found that the NLR level was markedly higher (p = 0.037), while the LMR was lower in the unfavorable long-term prognosis group (p = 0.004). Results from logistic regression analysis revealed that the high-level LMR group had a lower risk of unfavorable long-term prognosis compared to the low-level group (T3: OR = 0.433, 95% CI [0.204-0.859], p = 0.026). The AUC of the model was 0.750 (95% CI [0.693-0.806]).

Lymphocyte-to-monocyte ratio levels are independently linked to an increased risk of unfavorable long-term prognosis, highlighting LMR as a new and effective predictor for postoperative Moyamoya patients.

Objective: This study aims to evaluate the predictive value of neutrophil-lymphocyte ratio (NLR) in determining infection after orthopedic surgery. Methods: A comprehensive search was conducted in PubMed, EBASE, CNKI, and Wanfang databases to identify relevant studies. The quality of the included studies was assessed using QUADAS-2. Data extraction was performed to calculate sensitivity, specificity, and other indicators. Bivariate mixed-effects meta-analysis was conducted using Stata software. The sources of heterogeneity were evaluated, and a summary receiver operating characteristic curve was generated. Results: A total of 16 literatures comprising 18 studies involving 3737 patients were included in this analysis. NLR demonstrated moderate sensitivity (0.77) and specificity (0.69) in diagnosing orthopedic post-operative infection, with an area under the curve of 0.80 and diagnostic odds ratio of 7.76. Significant heterogeneity was observed among the studies, primarily due to variations in surgical type, infection type, blood test timing, and NLR cutoff value. Fagan nomogram indicated that NLR could increase the positive posterior probability to 72% and decrease the negative posterior probability to 25%. The pooled effect of the likelihood ratio dot plot for diagnosis fell in the lower right quadrant. Deek funnel plot suggested no publication bias in this study. Conclusion: NLR holds certain value in diagnosing infection after orthopedic surgery and can provide additional information to assess the risk of infection. However, its predictive performance is influenced by various factors, and it cannot be used as a sole criterion for confirming the diagnosis. Prospective studies should be conducted in the future to optimize the diagnostic threshold and explore its combination with other indicators.

Multiple regimens of immune checkpoint inhibitors (ICIs) plus targeted therapies are commonly prescribed as first-line treatments for unresectable hepatocellular carcinoma (uHCC). Here, we aimed to investigate the correlation between dynamic changes of neutrophil-to-lymphocyte ratio (NLR) and tumor response to the combination of ICIs and targeted therapies for uHCC.

Sixty-one patients who received ICIs plus targeted therapies for uHCC were enrolled in this retrospective study. The NLR before and at 3-6 weeks after treatments were assessed to calculate the dynamic NLR changes (ΔNLR). Multivariate logistic regression and Cox regression models were used to explore the relationship between dynamic NLR changes and tumor response or progression-free survival (PFS), respectively. Furthermore, we assessed the predictive effect of alpha-fetoprotein (AFP) changes in combination with dynamic NLR changes compared to AFP changes alone.

The NLR at 3-6 weeks and ΔNLR after treatments significantly increased in patients who underwent progressive disease (PD), while the baseline NLR showed no significant difference between different tumor responses. Increased NLR and AFP after treatments were both independent predictors of PD (For NLR increase: OR, 2.28; 95% CI, 1.47-3.88, P < 0.001; For AFP increase: OR, 1.46; 95% CI, 1.03-2.17, P = 0.043), and correlated with worse PFS (for NLR increase: HR, 4.08; 95% CI, 1.99-8.36, P < 0.001; for AFP increase: HR, 2.10; 95% CI, 1.04-4.24, P = 0.039). The receiver operating characteristic (ROC) curve and net reclassification index (NRI) showed that the combination of dynamic NLR and AFP changes was better than AFP changes alone on predicting PD (AUC: 0.83 vs 0.68, P = 0.034; NRI: 0.340, P = 0.048) and PFS (AUC: 0.80 vs 0.70, P = 0.166; NRI: 0.431, P = 0.042).

Dynamic changes of NLR might be an effective predictor of the therapeutic response to ICIs plus targeted therapies for uHCC.

Methods for predicting therapeutic response to immune checkpoint inhibitors in cancer therapy are in high demand. In patients with advanced hepatocellular carcinoma (HCC), atezolizumab (anti-programmed cell death-ligand 1 [PD-L1]) and bevacizumab (anti-vascular endothelial growth factor) combination therapy (Atezo/Bev therapy) is a first-line treatment. However, no reliable biomarkers are currently available to predict its efficacy. Here, we examined serum anti-PD-1 autoantibody levels as candidate biomarkers.

We prospectively enrolled 63 patients with advanced HCC who received Atezo/Bev therapy. Serum anti-PD-1 autoantibody levels were measured before treatment using an indirect enzyme-linked immunosorbent assay. The correlation between the titers and response to therapy was statistically examined.

Serum anti-PD-1 autoantibody levels were not significantly associated with the treatment response in any patient. However, when examining only patients who received the Atezo/Bev as their first-line therapy, higher anti-PD-1 autoantibody levels were significantly associated with worse overall survival rates. The titer was an independent risk factor for poor prognosis (odds ratio [OR] = 7.8, P = .013), in addition to a higher neutrophil-to-lymphocyte ratio (OR = 7.1, P = .009) and lower albumin levels (OR = 14.2, P = .003).

Serum anti-PD-1 autoantibody levels correlated with the overall survival rate in patients who received Atezo/Bev as first-line therapy. Serum anti-PD-1 autoantibody levels may serve as new biomarkers for predicting the efficacy of immune checkpoint inhibitors in patients with HCC.

The objective of this investigation was to analyse the correlation between the neutrophil-to-lymphocyte ratio (NLR) status in the immune microenvironment (IME) and the prognostic outcomes of patients who have undergone radical surgery for colorectal cancer (CRC). In light of the continued prevalence of CRC in China, this study utilised Kaplan-Meier and Cox regression analyses to assess the prognostic relevance of NLR status in IME among patients with CRC. Furthermore, cellular experiments, such as cell scratching, were conducted to elucidate the underlying mechanisms of NLR's impact on CRC. The NLR status in IME has been found to have a significant impact on the prognosis of patients with CRC. Patients who exhibit elevated intratumoural and extratumoural NLR are associated with a poor prognosis. Experimental evidence indicates that tumour-associated neutrophil (TAN) augments the migratory, invasive, and proliferative potential of HT-29, HCT-116 and LOVO colorectal cancer cells, while concurrently reducing their sensitivity to oxaliplatin. Conversely, lymphocytes have demonstrated cytotoxic effects on HT-29 cells. The NLR status in IME may serve as a prognostic biomarker for resectable CRC.

Liver transplantation (LT) in Asia started comparatively early in 1964, just 1 year after Starzl's trail-blazing first attempt. Despite the quick start, LT was slow to develop in this region. Limited access to universal healthcare, lack of public understanding and support as well as the absence of strong legislation, on a backdrop of a wide range of diverse social, religious, economic and cultural background are all contributory factors. Through strong administrative efforts, the number of DDLTs in selected Asian countries has been slowly rising in recent years. However, Asians are generally still less likely to donate organs than Caucasians after death. The strong demand for LT with limited access to deceased organs has, therefore, led to constant need for innovation in LT this region, with the pioneering of various LDLT techniques and safe expansion of donor pool being driven primarily by Asian centers. Familiarity and the development of technical expertise in donor surgery have also resulted in Asian centers repeatedly pushing the boundaries on minimally invasive donor and recipient surgery. In this article, we focus on the past and present states of LT in Asia and explore the future trends of LT in this region.

In recent years, there have been limited reports on the efficacy of later-line anti-programmed cell death -1 (PD-1) therapy in achieving prolonged and complete remission in patients with hepatocellular carcinoma (HCC). Tislelizumab, a humanized anti-PD-1 monoclonal IgG4 antibody, has shown promising results in the treatment of HCC. This report highlights the case of a patient with HCC who experienced the development of lung metastatic lesions following HCC resection and chemotherapy, but achieved a prolonged complete response (CR) after receiving tislelizumab treatment. In April 2017, a 56-year-old male diagnosed with primary HCC underwent hepatectomy and hepatic arterial infusion pump placement. Following the surgery, the patient received adjuvant hepatic arterial infusion chemotherapy (HAIC) with 4 cycles of cisplatin+5-fluorouracil (PF) regimen starting in June 2017. In May 2018, lung metastatic lesions were detected, and the patient underwent 4 cycles of oxaliplatin+leucovorin+5-fluorouracil (FOLFOX) chemotherapy. However, the disease progressed in August 2018, leading to the administration of arsenic trioxide treatment. Despite this, further progression was observed in October 2018, prompting the patient's enrollment in a clinical trial for tislelizumab therapy. Initially, the patient achieved a partial response (PR) to tislelizumab, which was followed by a CR that lasted for almost 4 years. Unfortunately, tislelizumab treatment had to be discontinued due to immune-related adverse events (AE). Subsequently, the patient received lenvatinib and maintained a CR until July 2023. Tislelizumab monotherapy, when used as a third-line treatment, has demonstrated remarkable efficacy in facilitating patients with advanced HCC to attain a durable CR.

To develop and validate a radiomics machine learning (Rad-ML) model based on preoperative MRI to predict extrahepatic metastasis (EHM) in hepatocellular carcinoma (HCC) patients receiving transarterial chemoembolization (TACE) treatment.

A total of 355 HCC patients who received multiple TACE procedures were split at random into a training set and a test set at a 7:3 ratio. Radiomic features were calculated from tumor and peritumor in arterial phase and portal venous phase, and were identified using intraclass correlation coefficient, maximal relevance and minimum redundancy, and least absolute shrinkage and selection operator techniques. Cox regression analysis was employed to determine the clinical model. The best-performing algorithm among eight machine learning methods was used to construct the Rad-ML model. A nomogram combining clinical and Rad-ML parameters was used to develop a combined model. Model performance was evaluated using C-index, decision curve analysis, calibration plot, and survival analysis.

In clinical model, elevated neutrophil to lymphocyte ratio and alpha-fetoprotein were associated with faster EHM. The XGBoost-based Rad-ML model demonstrated the best predictive performance for EHM. When compared to the clinical model, both the Rad-ML model and the combination model performed better (C-indexes of 0.61, 0.85, and 0.86 in the training set, and 0.62, 0.82, and 0.83 in the test set, respectively). However, the combined model's and the Rad-ML model's prediction performance did not differ significantly. The most influential feature was peritumoral waveletHLL_firstorder_Minimum in AP, which exhibited an inverse relationship with EHM risk.

Our study suggests that the preoperative MRI-based Rad-ML model is a valuable tool to predict EHM in HCC patients treated with TACE.

Transarterial chemoembolization (TACE) is a common treatment for hepatocellular carcinoma (HCC), but the best therapeutic agent for TACE treatment has not been determined. The neutrophil/lymphocyte ratio (NLR) is a systemic immune system marker; however, the ability of the NLR to predict the prognosis of patients with HCC is unknown, and no studies have been conducted to determine the most appropriate TACE regimen for HCC patients with different NLRs.

The PubMed, Embase, Web of Science, and CNKI databases were searched through May 28, 2023. Comparisons of overall survival (OS) among cohort studies with different NLRs and different TACE treatment regimens were performed with a random effects model.

Thirty-five studies involving 9210 patients were included in this meta-analysis. The results showed that Group 3-4 (NLR<2.5) patients had a significantly longer OS than Group 1-2 (NLR 2.5-5.0). Among the patients, Group 1-3 (NLR 2.0-5.0) patients had the best survival after treatment with adriamycin (lnHR (95 % CI = 0.48 [0.31, 0.75] and lnHR (95 % CI = 0.41 [0.19, 0.91]). Among the Group 4 patients (NLR<2.0), the best outcome was obtained with platinum + adriamycin (lnHR (95 % CI = 0.59 [0.45, 0.78]), followed by adriamycin. A subgroup analysis of TACE combined with other treatments showed that adriamycin combined with sorafenib was the most effective and superior to the other treatment agents.

The NLR can be used to predict the prognosis of HCC patients treated with TACE; the higher the NLR is, the worse the prognosis. Adriamycin may be the best therapeutic agent for HCC patients treated with TACE.

Pulmonary embolism (PE) poses a significant challenge in diagnosis and treatment, particularly in high-risk patient populations such as those hospitalized for orthopedic reasons. This study explores the predictive and diagnostic potential of laboratory parameters in identifying PE among orthopedic patients.

The purpose of this study was to determine whether selected (inexpensive and readily available) laboratory parameters and their coefficients can be used to diagnose pulmonary embolism and whether they are applicable in predicting its occurrence.

Selected laboratory parameters were determined twice in 276 hospitalized orthopedic patients with suspected PE: PLT, MPV, NEU, LYM, D-dimer, troponin I, age-adjusted D-dimer and their coefficients. Depending on the angio-CT results, patients were divided into groups. Selected popular laboratory coefficients were calculated and statistically analyzed. Optimal cutoff points were determined for the above laboratory tests and ROC curves were plotted.

D-dimer/troponin I [p = 0.008], D-dimer [p = 0.001], age-adjusted D-dimer [p = 0.007], NLR/D-dimer [p = 0.005] and PLR [p = 0.021] are statistically significant predictors of PE. D-dimer/troponin I [p < 0.001], troponin I [p = 0.005] and age-adjusted D-dimer [p = 0.001] correlated with the diagnosis of PE after the onset of clinical symptoms.

In the context of orthopedic patients, cost-effective laboratory parameters, particularly the D-dimer/troponin I ratio and age-adjusted D-dimer, exhibit considerable potential in predicting and diagnosing PE. These findings suggest that combining readily available laboratory tests with clinical observation can offer a viable and cost-effective diagnostic alternative, especially in resource-constrained settings. Further studies with larger and diverse patient populations are recommended to validate these results.

Overweight is a negative prognostic factor in the general population in the long term. However, the role of body mass index (BMI) in the short-mid term in advanced tumours is unclear. The present analysis investigates the role of BMI weight classes in a large sample of patients affected by HCC and receiving atezolizumab plus bevacizumab or lenvatinib as first-line treatment.

The cohort included consecutive patients affected by BCLC-c and BCLC-B HCC patients from a multicenter international study group who received atezolizumab plus bevacizumab or lenvatinib as first-line therapy. Population was stratified according to the BMI in under-, over- and normal-weight according to the conventional thresholds. The primary objective of the study was to evaluate the prognostic and predictive impact of BMI in patients affected by advanced or intermediate HCC. Survival curves were estimated using the product-limit method of Kaplan-Meier. The role of stratification factors was analysed with log-rank tests.

1292 consecutive patients with HCC were analysed. 466 (36%) patients were treated with lenvatinib and 826 (64%) patients were treated with atezolizumab plus bevacizumab. In the atezolizumab plus bevacizumab arm, 510 (62%) patients were normal-weight, 52 (6%) underweight and 264 (32%) overweight. At the univariate analysis for OS, underweight patients had significantly shorter OS compared to normal-weight patients, whereas no differences were found between normal-weight versus overweight. Multivariate analysis confirmed that underweight patients had significantly shorter OS compared to normal-weight patients (HR: 1.7; 95% CI: 1.0-2.8; p = .0323). In the lenvatinib arm, 26 patients (5.6%) were categorized as underweight, 256 (54.9%) as normal-weight, and 184 (39.5%) as overweight. At the univariate analysis for OS, no significant differences were found between normal-weight versus underweight and between normal-weight versus overweight, which was confirmed at multivariate analysis.

Our analysis highlighted a prognostic role of BMI in a cohort of patients with advanced HCC who received atezolizumab plus bevacizumab, while no prognostic role for low BMI was apparent in patients who received lenvatinib.

Organophosphorus poisoning (OPP) poses a significant threat to human health, necessitating accurate prognostic markers for timely intervention and improved outcomes. This review evaluates the potential of the neutrophil-to-lymphocyte ratio (NLR) as a prognostic indicator in acute organophosphorus poisoning (AOPP). A comprehensive analysis of existing literature reveals that elevated NLR values correlate with increased severity of poisoning and adverse clinical outcomes, including mortality and morbidity. NLR assessment offers valuable prognostic information beyond traditional markers, aiding risk stratification and guiding clinical decision-making. Integration of NLR into clinical practice holds promise for optimizing patient care through the early identification of high-risk individuals and tailored therapeutic interventions. Further research is needed to validate the utility of NLR in larger patient cohorts and standardize its incorporation into clinical guidelines. Leveraging NLR as a prognostic tool can enhance risk stratification, optimize treatment strategies, and ultimately improve outcomes in AOPP.

Acute liver failure (ALF) is a common cause of postoperative death in patients with hepatocellular carcinoma (HCC) and is a serious threat to patient safety. The neutrophil-to-lymphocyte ratio (NLR) is a common inflammatory indicator that is associated with the prognosis of various diseases, and the albumin-bilirubin score (ALBI) is used to evaluate liver function in liver cancer patients. Therefore, this study aimed to construct a predictive model for postoperative ALF in HCC tumor integrity resection (R0) based on the NLR and ALBI, providing a basis for clinicians to choose appropriate treatment plans.

To construct an ALF prediction model after R0 surgery for HCC based on NLR and ALBI.

In total, 194 patients with HCC who visited The First People's Hospital of Lianyungang to receive R0 between May 2018 and May 2023 were enrolled and divided into the ALF and non-ALF groups. We compared differences in the NLR and ALBI between the two groups. The risk factors of ALF after R0 surgery for HCC were screened in the univariate analysis. Independent risk factors were analyzed by multifactorial logistic regression. We then constructed a prediction model of ALF after R0 surgery for HCC. A receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the value of the prediction model.

Among 194 patients with HCC who met the standard inclusion criteria, 46 cases of ALF occurred after R0 (23.71%). There were significant differences in the NLR and ALBI between the two groups (P < 0.05). The univariate analysis showed that alpha-fetoprotein (AFP) and blood loss volume (BLV) were significantly higher in the ALF group compared with the non-ALF group (P < 0.05). The multifactorial analysis showed that NLR, ALBI, AFP, and BLV were independent risk factors for ALF after R0 surgery in HCC. The predictive efficacy of NLR, ALBI, AFP, and BLV in predicting the occurrence of ALT after R0 surgery for HCC was average [area under the curve (AUC)NLR = 0.767, AUCALBI = 0.755, AUCAFP = 0.599, AUCBLV = 0.718]. The prediction model for ALF after R0 surgery for HCC based on NLR and ALBI had a better predictive efficacy (AUC = 0.916). The calibration curve and actual curve were in good agreement. DCA showed a high net gain and that the model was safer compared to the curve in the extreme case over a wide range of thresholds.

The prediction model based on NLR and ALBI can effectively predict the risk of developing ALF after HCC R0 surgery, providing a basis for clinical prevention of developing ALF after HCC R0 surgery.

Objective: We aimed to investigate the relationship between metal exposure and novel immunoinflammatory indicators. Methods: Data on adults participating in the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2018 were analyzed. Various statistical models were employed to assess the association between metal exposure and novel immune-inflammation-related indicators. Additionally, the impact of metal exposure on inflammation in different gender populations was explored. Results: This study included 4482 participants, of whom 51.1% were male. Significant correlations were observed among various metals. Both elastic net (ENET) and linear regression models revealed robust associations between cadmium (Cd), cobalt (Co), arsenic (As), mercury (Hg), and immunoinflammatory indicators. Weighted quantile sum (WQS) and Quantile g-computation (Q-gcomp) models demonstrated strong associations between barium (Ba), Co, and Hg and immunoinflammatory indicators. Bayesian kernel machine regression (BKMR) analysis indicated an overall positive correlation between in vivo urinary metal levels and systemic inflammation response index (SIRI) and aggregate index of systemic inflammation (AISI). Furthermore, Co, As, and Hg emerged as key metals contributing to changes in novel immunoinflammatory indicators. Conclusions: Metals exhibit associations with emerging immunoinflammatory indicators, and concurrent exposure to mixed metals may exacerbate the inflammatory response. Furthermore, this relationship varies across gender populations.

An increased neutrophil-to-lymphocyte ratio (NLR) is a poor prognostic biomarker in various types of cancer, because it reflects the inhibition of lymphocytes in the circulation and tumors. In urologic cancers, upper tract urothelial carcinoma (UTUC) is known for its aggressive features and lack of T cell infiltration; however, the association between neutrophils and suppressed T lymphocytes in UTUC is largely unknown. In this study, we examined the relationship between UTUC-derived factors and tumor-associated neutrophils or T lymphocytes. The culture supernatant from UTUC tumor tissue modulated neutrophils to inhibit T cell proliferation. Among the dominant factors secreted by UTUC tumor tissue, apolipoprotein A1 (Apo-A1) exhibited a positive correlation with NLR. Moreover, tumor-infiltrating neutrophils were inversely correlated with tumor-infiltrating T cells. Elevated Apo-A1 levels in UTUC were also inversely associated with the population of tumor-infiltrating T cells. Our findings indicate that elevated Apo-A1 expression in UTUC correlates with tumor-associated neutrophils and T cells. This suggests a potential immunomodulatory effect on neutrophils and T cells within the tumor microenvironment, which may represent therapeutic targets for UTUC treatment.

Hepatocellular carcinoma (HCC) exhibits high incidence and mortality rates in China. Most cases are often diagnosed at late stages and require multi-strategy therapies. In recent years, immune checkpoint inhibitors (ICIs), particularly programmed cell death protein 1 (PD-1) antibodies, have demonstrated effectiveness in comprehensive HCC treatment. However, the efficacy and prognosis vary greatly among patients. Screening suitable patients and predicting outcomes are crucial for improving the efficacy of ICIs. Although PD-L1 expression levels in tumor cells have been used as predictors of PD-1/PD-L1 antibody therapy, they may not consistently correlate with clinical response in some studies; thus, exploring new biomarkers is necessary. The neutrophil-to-lymphocyte ratio (NLR) emerged as a new predictor of ICI immunotherapy efficacy, and its application in HCC is worth exploring. This study utilizes the Cancer Genome Atlas Liver Hepatocellular Carcinoma Collection (TCGA-LIHC) project in the Genomic Data Commons (GDC) database for methylation and transcriptome data analysis. The correlation between NLR and ICI immunotherapy efficacy for HCC was evaluated, identifying differentially expressed genes. Analysis revealed 74 up-regulated and 445 down-regulated genes in the high-NLR group compared to the low-NLR group. NLR-related differential methylation analysis identified 68 hypermethylated and 65 hypomethylated probes in the NLR high group. Furthermore, a machine learning model using 27 intersecting genes predicted PD-1 antibody therapy efficacy, achieving an AUC value of 0.813. In summary, we established a predictive model for HCC immunotherapy based on 27 genes related to differential expressions and NLR-associated methylation, showing significant potential for clinical research potential in this field.

There is a growing amount of evidence suggesting that immunity and inflammation play an important role in the pathophysiology of schizophrenia. In this study, we aimed to examine the relationship between hematological and inflammatory markers with symptom severity in Han Chinese patients with drug-free schizophrenia.

This retrospective study was conducted at Chaohu Hospital of Anhui Medical University and data were extracted from the electronic medical record system over a 5-year period (May 2017 to April 2022), including participants' general and clinical information as well as Brief Psychiatric Rating Scale (BPRS) scores and hematological parameters.

A total of 2,899 patients with schizophrenia were identified through the initial search. After screening, 91 patients and 141 healthy controls (HCs) were included. The patients had a higher value of neutrophils/lymphocytes ratio (NLR), monocyte/lymphocyte ratio (MLR), and platelet/lymphocyte ratio (PLR) than HCs (all P < 0.001). MLR was positively correlated with BPRS total score (r = 0.337, P = 0.001) and resistance subscale score (r = 0.350, P = 0.001). Binary logistic regression analyses revealed that severely ill was significantly associated with being male and a higher value of MLR (Natural Logaruthm, Ln) (all P < 0.05), and the receiver operating characteristic (ROC) analysis showed good performance of a regression model with an area under the curve (AUC) value of 0.787.

Patients with drug-free schizophrenia have an unbalanced distribution of peripheral blood granulocytes, and elevated NLR, MLR and PLR. Patients with higher value of MLR tend to have more psychotic symptoms, especially those symptoms of hostility, uncooperativeness, and suspiciousness. Our study gives a preliminary indication that MLR is a potential predictor of disease severity in patients with drug-free schizophrenia.