Score of the preoperative absolute number of lymphocytes, monocytes, and neutrophils as a prognostic indicator for patients with gastric cancer

Prognostic value of neutrophil-to-lymphocyte ratio in gastric cancer patients undergoing neoadjuvant chemotherapy: A systematic review and meta-analysis

BACKGROUND

In recent studies, accumulating evidence has revealed a strong association between the inflammatory response and the prognosis of many tumors. There is a certain correlation of neutrophil-to-lymphocyte ratio (NLR) with the prognosis in gastric cancer (GC) patients undergoing neoadjuvant chemotherapy (NAC). However, the existing research results have remained controversial.

AIM

To explore the relationship between NLR ratio and prognosis of GC patients receiving NAC.

METHODS

A thorough systematic search was performed in databases such as PubMed, Embase, Web of Science, and Cochrane Library, the search is available until February 29, 2024, and studies exploring the interaction of NLR with clinical outcomes were collected. Relevant studies meeting pre-defined inclusion and exclusion criteria were carefully chosen. The outcomes included progression-free survival (PFS), relapse-free survival, disease-free survival (DFS), and overall survival (OS). The hazard ratio (HR) and its corresponding 95% confidence interval (CI) were utilized for estimation.

RESULTS

Our analysis encompassed 852 patients and incorporated data from 12 cohort studies. The comprehensive analysis revealed a significant association of high NLR with reduced OS (HR = 1.76; 95%CI: 1.22-2.54, P = 0.003), relapse-free survival (HR = 3.73; 95%CI: 1.74-7.96, P = 0.0007), and PFS (HR = 2.32; 95%CI: 1.42-3.81, P = 0.0008) in patients. However, this correlation in disease-free survival was not significant. NLR demonstrated its crucial role in effectively predicting the OS of GC patients undergoing NAC at different detection times, ages, regions, and NLR thresholds.

CONCLUSION

In GC patients receiving NAC, an elevated NLR is strongly associated with reduced OS and PFS. NLR has become an effective biomarker for patient prognosis evaluation, providing valuable insights for the treatment strategies of NAC in GC patients.

High peripheral neutrophil and monocyte count distinguishes renal cell carcinoma from renal angiomyolipoma and predicts poor prognosis of renal cell carcinoma

Background

The presence of peripheral inflammatory cells has been linked to the prognosis of cancer. This study aims to investigate the distinct roles of absolute neutrophil count (ANC) and absolute monocyte count (AMC) in differentiating renal cell carcinoma (RCC) from renal angiomyolipoma (RAML), as well as their prognostic significance in RCC.

Methods

We conducted a comprehensive analysis of peripheral immune cell data, clinicopathological data, and tumor characteristics in patients diagnosed with RCC or RAML from January 2015 to December 2021. Receiver operating characteristic (ROC) curves, as well as univariate and multivariate analyses, were employed to assess the diagnostic utility of AMC and ANC in differentiating between RCC and RAML. Kaplan-Meier curve analysis was used to study the survival of RCC patients with different AMC and ANC. The prognostic value of AMC and ANC in RCC was investigated using COX univariate and multivariate analysis. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used for bioinformatic correlation analysis.

Results

A total of 1120 eligible patients were included in the study. The mean preoperative AMC and ANC in patients with RCC were found to be significantly higher compared to those in patients with RAML (P = 0.001 and P < 0.001, respectively). High preoperative AMC and ANC significantly correlated with smoking history, tumor length, gross hematuria, and high T Stage, N stage, and pathological grade. In multivariate analyses, an ANC> 3.205 *10^9/L was identified to be independently associated with the presence of RCC (HR = 1.618, P = 0.008). High AMC and ANC were significantly associated with reduced OS and PFS (P < 0.05), and ANC may be an independent prognostic factor. Public database analysis showed that signature genes of tumor-associated macrophages (TAMs) and tumor-associated neutrophils (TANs) were highly expressed in ccRCC.

Conclusions

Elevated preoperative ANC and AMC can distinguish RCC from RAML and predict poor prognosis in patients with RCC. Furthermore, the signature genes of TAMs and TANs exhibit high expression levels in clear cell RCC.

The DC-T cell axis is an effective target for the treatment of non-small cell lung cancer

The dendritic cell (DC)-T cell axis is a bridge that connects innate and adaptive immunities. The initial immune response against tumors is mainly induced by mature antigen-presenting DCs. Enhancing the crosstalk between DCs and T cells may be an effective approach to improve the immune response to non-small cell lung cancer (NSCLC). In this article, a review was made of the interaction between DCs and T cells in the treatment of NSCLC and how this interaction affects the treatment outcome.

The Effect of the Prognostic Nutritional Index on the Toxic Side Effects of Radiochemotherapy and Prognosis After Radical Surgery for Gastric Cancer

OBJECTIVE

A retrospective analysis was conducted to investigate the effect of the preoperative prognostic nutritional index (PNI) on the severity of toxic side effects of radiochemotherapy and the survival prognosis of patients with gastric cancer to guide the clinical nutritional support for patients with gastric cancer.

METHODS

Data of 191 patients with gastric cancer in the Department of Gastrointestinal Surgery of Guizhou Cancer Hospital and the Affiliated Hospital of Guizhou Medical University between January 2008 and December 2018 were analyzed retrospectively. Patients were allocated to the high PNI group (with PNI ≥47.7) and the low PNI group (with PNI <47.7) according to the PNI cutoff value, and the incidence of severe toxic side effects of radiochemotherapy and the overall survival time were compared between the high PNI group and low PNI group. In addition, prognostic factor analysis was performed.

RESULTS

The severe hematologic side effects of radiochemotherapy and shorter postoperative survival time were more likely to occur in the low PNI group than in the high PNI group. The multifactor analysis showed that TNM stage (p = 0.000) and PNI (p = 0.001) were the independent risk factors for the overall postoperative survival time in patients with gastric cancer.

CONCLUSION

Preoperative PNI might predict the severity of hematologic toxic side effects of adjuvant chemotherapy/radiochemotherapy in patients with gastric cancer after surgery. Patients in the low PNI group were more likely to have severe hematologic toxic side effects, and therefore a low PNI might be one of the important factors affecting the prognosis of gastric cancer.

Elevated peripheral absolute monocyte count related to clinicopathological features and poor prognosis in solid tumors: Systematic review, meta-analysis, and meta-regression

BACKGROUND

Absolute monocyte count (AMC) is often used to be assessed in cancer follow-up, which has regained interest as a potential prognostic indicator in many solid tumors, though not consistently or comprehensively. In the present study, we set out to perform a comprehensive meta-analysis of all available data regarding the prognostic significance of AMC in solid tumors. We also evaluated the association between AMC and clinical features in solid tumors.

METHODS

A hazard ratio (HR) and corresponding 95% confidence interval (CI) or a p value (p) from eligible studies were extracted and subsequently pooled analyzed. Subgroup analyses and meta-regression analyses were conducted according to the confounders of included studies. In addition, the relationships between AMC and clinical characteristics were also explored in the meta-analysis.

RESULTS

Overall, ninety-three articles comprising 104 studies with 32229 patients were finally included. The results showed that elevated AMC was associated with worse overall survival (OS) (HR = 1.615; 95% CI: 1.475-1.768; p < 0.001), disease-free survival (DFS) (HR:1.488; 95% CI: 1.357-1.633; p < 0.001), progressive-free survival (PFS) (HR: 1.533; 95% CI: 1.342-1.751; p < 0.001) and cancer-specific survival (CSS) (HR: 1.585; 95% CI: 1.253-2.006; p < 0.001) in non-hematological tumors. Subgroup analyses according to each confounder further proved the consistent prognostic value of AMC in solid tumor outcomes. Moreover, elevated AMC was more likely to be observed in male group and patients with smoking history, and associated with longer tumor length and advanced T stage.

CONCLUSION

In short, the meta-analysis found that elevated AMC might indicate poor long-term outcomes in non-hematologic cancers, thus AMC may be a valuable marker in the prognosis for patients with solid tumors.

Identification of Carcinogenic Chemicals with Network Embedding and Deep Learning Methods

Background:

Cancer is the second leading cause of human death in the world. To date, many factors have been confirmed to be the cause of cancer. Among them, carcinogenic chemicals have been widely accepted as the important ones. Traditional methods for detecting carcinogenic chemicals are of low efficiency and high cost.

Objective:

The aim of this study was to design an efficient computational method for the identification of carcinogenic chemicals.

Methods:

A new computational model was proposed for detecting carcinogenic chemicals. As a data-driven model, carcinogenic and non-carcinogenic chemicals were obtained from Carcinogenic Potency Database (CPDB). These chemicals were represented by features extracted from five chemical networks, representing five types of chemical associations, via a network embedding method, Mashup. Obtained features were fed into a powerful deep learning method, recurrent neural network, to build the model.

Results:

The jackknife test on such model provided the F-measure of 0.971 and AUROC of 0.971.

Conclusion:

The proposed model was quite effective and was superior to the models with traditional machine learning algorithms, classic chemical encoding schemes or direct usage of chemical associations.

Clinical importance of the absolute count of neutrophils, lymphocytes, monocytes, and platelets in newly diagnosed hepatocellular carcinoma

Although several studies have confirmed the clinical significance of the systemic inflammation markers in hepatocellular carcinoma (HCC), evaluating the clinical significance of each blood cell remains to be conducted. We aimed to evaluate the clinical importance of absolute counts of blood cells in the overall survival (OS) of patients with newly diagnosed HCC. We recruited patient cohorts from the prospective registry of newly diagnosed and previously untreated HCC at Samsung Medical Center, which included a training set of 6619 patients (2005–2013) and a validation set of 2084 patients (2014–2016). More than three-quarters of all patients had hepatitis B virus (HBV)-related HCC in both training and validation sets. The optimal cutoff values of the absolute counts of neutrophils, lymphocytes, monocytes, and platelets were 3917, 488, 1379, and 22,100, respectively, which correlated significantly with OS. The absolute blood cell counts categorized by each optimal cutoff value significantly correlated with liver function status determined by Child–Pugh class/albumin-bilirubin (ALBI) grade and the HCC burden determined by several staging systems/portal vein tumor thrombosis. Although the prognostic model based on these blood cells (ABC model) showed a lower prognostic ability than the Japan Integrated Staging or ALBI-T staging systems, it provided significant discrimination of survival in the subgroups of ALBI-T and showed the highest prognostic ability in the present study in the training and validation sets. Absolute counts of blood cells are independently associated with OS, though it is also significantly associated with liver function and tumor burden in newly diagnosed HCC.