Programmed death ligand 1 expression in esophageal cancer following definitive chemoradiotherapy: Prognostic significance and association with inflammatory biomarkers

Association between PD-L1 and Ki-67 expression and clinicopathologic features in NSCLC patients

OBJECTIVE

To investigate the relationship between PD-L1, Ki-67 and the association between PD-L1, Ki-67, and clinicopathologic features and laboratory parameters in the peripheral blood of non-small cell lung cancer (NSCLC) patients.

METHODS

The clinical records of 213 NSCLC patients were retrospectively reviewed. The patients were divided into high or low expression groups by cut-off values of Ki-67 and PD-L1. Correlation of PD-L1 and Ki-67 expression were analyzed by linear regression analysis. The data were tested by Mann-Whitney test. Relationship of PD-L1 and Ki-67 was tested by chi-square test.

RESULTS

Linear regression analysis revealed a positive association between the expression of PD-L1 and Ki-67 (R2=0.26, P<0.001). The clinicopathologic features and laboratory parameters such as gender, smoking history, histological types, TNM stage, tumor size, ALB, and FIB were all significantly associated with PD-L1 and Ki-67 expression (all P<0.05).

CONCLUSIONS

The expression of PD-L1 and Ki-67 is related to some clinicopathologic features and inflammatory factors, which brings new sight for exploiting combination biomarkers and therapeutic strategies.

Immune Cell Infiltrates and Neutrophil-to-Lymphocyte Ratio in Relation to Response to Chemotherapy and Prognosis in Laryngeal and Hypopharyngeal Squamous Cell Carcinomas

Simple Summary

The role of the immune response to cancer is of increasing importance, with a determining role in the response to the treatments and prognosis of patients. In this work, we studied whether the immune response (local and systemic) can influence the treatment response and prognosis of patients with laryngeal and hypopharyngeal carcinoma receiving induction chemotherapy (ICT). We observed that the relationship between neutrophils and lymphocytes (NLR) in peripheral blood and PD-L1 expression in the tumor is related to ICT response and patient prognosis. The identification of new biomarkers related to the immune response may allow a better selection of treatments and the identification of potential therapeutic targets.

Abstract

Our goal was to assess the correlation of immune parameters with the response to induction chemotherapy (ICT) in head and neck squamous cell carcinoma (HNSCC) patients. Pretreatment biopsies from 64 patients with HNSCC that received ICT were assessed for PD-L1 protein expression and density of CD8+ and FOXP3+ tumor infiltrating lymphocytes (TIL). In addition, the neutrophil-to-lymphocyte ratio (NLR) was calculated from pretreatment whole blood counts. In total, 55% of cases exhibited PD-L1 combined proportion score (CPS) positivity (≥1% stained cells). PD-L1 CPS positivity correlated with a high density of both CD8+ (p = 0.01) and FOXP3+ (p < 0.001) TILs. There was no correlation between PD-L1 expression or TIL density and NLR values. In univariate analyses, the absence of PD-L1 CPS expression (p = 0.042) and a high NLR (p = 0.034) were significantly correlated with response to ICT. Neither CD8+ TIL (p = 0.99) nor FOXP3+ TIL densities (p = 0.71) were associated with response to ICT. In multivariate analysis, only a high NLR was associated with response to ICT (HR = 4.06, 95% CI = 1.06–15.5, p = 0.04). In addition, a high NLR was also independently associated with lower disease-specific (p = 0.03) and overall survival rates (p = 0.04), particularly in the subset of patients who received definitive surgical treatment. These results suggest that NLR could emerge as a predictive biomarker of response to ICT.

Immunotherapy in gastroesophageal cancers: Current state and future directions

While gastroesophageal (GE) cancers are one of the most common cancers worldwide, unfortunately, the mortality remains high. Commonly used treatment options include surgical resection, chemotherapy, radiotherapy, and molecular targeted therapy, which improve survival only minimally; thus, affirming the dire need for exploring alternative strategies to improve patient outcomes. Immunotherapy, which has revolutionized the world of oncology, has somewhat lagged behind in GE malignancies. Tumor-associated microenvironment and regulatory T cells, alongside cell cycle checkpoints, have been proposed by various studies as the mediators of carcinogenesis in GE cancers. Thus, inhibition of each of these could serve as a possible target of treatment. While the approval of pembrolizumab has provided some hope, it is not enough to override the dismal prognosis that this disease confers. Herein, we discuss the prospects of immunotherapy in this variety of cancer.

The efficacy and safety of combined immune checkpoint inhibitors (nivolumab plus ipilimumab): a systematic review and meta-analysis

BACKGROUND

Currently, nivolumab and ipilimumab are the most widely used immune checkpoint inhibitors. We performed a meta-analysis to evaluate the efficacy and treatment-related adverse events (TRAEs) of nivolumab plus ipilimumab therapy in cancer treatment.

METHODS

We examined data from PubMed, Web of Science, EBSCO, and Cochrane Library. Eleven articles fulfilled our criteria, which we divided into 3 groups: nivolumab plus ipilimumab versus nivolumab (the dose used for monotherapy is 3 mg/kg), nivolumab plus ipilimumab versus ipilimumab (the dose used for monotherapy is 3 mg/kg), and nivolumab 1 mg/kg plus ipilimumab 3 mg/kg (N1I3) versus nivolumab 3 mg/kg plus ipilimumab 1 mg/kg (N3I1). We measured the complete response (CR), partial response (PR), objective response rate (ORR), and TRAEs in any grade and grade 3 or higher.

RESULTS

The overall effect estimate favored the combined immunotherapy group in terms of the ORR (RR: 1.40, p < 0.001) and PR (RR: 1.50, p < 0.001) than nivolumab alone. Compared with ipilimumab alone, the combined immunotherapy group had better CR (RR: 4.89, p < 0.001), PR (RR: 2.75, p < 0.001), and ORR (RR: 3.31, p < 0.001). Finally, N1I3 showed better PR (RR: 1.35, p = 0.006) and ORR (RR: 1.21, p = 0.03) than N3I1. The incidence of any TRAEs was similar between both groups (RR: 1.05, p = 0.06). However, the incidence of serious adverse events (grade 3 or higher) was lower in group N3I1 than group N1I3 (RR: 1.51, p < 0.001).

CONCLUSION

This meta-analysis showed that the curative effect of nivolumab plus ipilimumab was better than that of nivolumab or ipilimumab monotherapy. In the combined immunotherapy group, N1I3 was more effective than N3I1. Although the side effects were slightly increased in N1I3 group, overall safety was acceptable.

Immunotherapy and radiation therapy for gastrointestinal malignancies: hope or hype?

Immunotherapy represents the newest pillar in cancer care. Although there are increasing data showing the efficacy of immunotherapy there is a spectrum of response across unselected populations of cancer patients. In fact, response rates can be poor even among patients with immunogenic tumors for reasons that remain poorly understood. A promising clinical strategy to improve outcomes, which is supported by an abundance of preclinical data, is combining immunotherapy with radiation therapy. Here we review the existing evidence and future directions for combining immunotherapy and radiation therapy for patients with gastrointestinal cancers.

From Tumor Immunology to Immunotherapy in Gastric and Esophageal Cancer

Esophageal and gastric cancers represent tumors with poor prognosis. Unfortunately, radiotherapy, chemotherapy, and targeted therapy have made only limited progress in recent years in improving the generally disappointing outcome. Immunotherapy with checkpoint inhibitors is a novel treatment approach that quickly entered clinical practice in malignant melanoma and renal cell cancer, but the role in esophageal and gastric cancer is still poorly defined. The principal prognostic/predictive biomarkers for immunotherapy efficacy currently considered are PD-L1 expression along with defects in mismatch repair genes resulting in microsatellite instability (MSI-H) phenotype. The new molecular classification of gastric cancer also takes these factors into consideration. Available reports regarding PD-1, PD-L1, PD-L2 expression and MSI status in gastric and esophageal cancer are reviewed to summarize the clinical prognostic and predictive role together with potential clinical implications. The most important recently published clinical trials evaluating checkpoint inhibitor efficacy in these tumors are also summarized.

Predictive value of lymphocyte to monocyte ratio and monocyte to high-density lipoprotein ratio for acute deep vein thrombosis after total joint arthroplasty: a retrospective study

Background

Deep vein thrombosis (DVT) is one of the most dangerous complications of total joint arthroplasty (TJA). Systemic inflammation has proved to have a great contribution to thrombosis and has been considered as a risk factor for DVT recently. The lymphocyte to monocyte ratio (LMR) and monocyte to high-density lipoprotein (HDL) ratio (MHR) are two biomarkers used widely for systemic inflammation. This study aims to find out the potential predictive value of LMR and MHR for DVT after TJA.

Methods

A total of 853 patients who underwent primary TJA were finally included in this retrospective study. Acute DVT after TJA was evaluated by venography. Preoperative and postoperative LMR and MHR were calculated according to the blood routine test and blood biochemistry test. The association between LMR or MHR and DVT and their predictive value were evaluated by multiple logistic regression analysis and ROC curve respectively.

Results

Totally, 126 patients (14.8%) were diagnosed with DVT by venography. Patients with DVT had a significantly higher level of preoperative MHR (P < 0.001) and postoperative MHR (P < 0.001), along with a significantly lower level of preoperative LMR (P < 0.001) and postoperative LMR (P < 0.001). Multiple logistic regression indicated that BMI (OR = 1.10, P = 0.001), preoperative LMR (OR = 0.72, P<0.001), and postoperative LMR (OR = 0.32, P < 0.001) were independent risk factors for DVT. Besides, BMI (OR = 1.17, P = 0.001), female (OR = 4.6, P = 0.004), preoperative MHR (OR = 10.43, P = 0.008), postoperative Hb (OR = 0.96, P = 0.002), and postoperative LMR were independently associated with symptomatic DVT. The ROC curve suggested that the postoperative LMR had a potential to predict DVT after TJA.

Conclusion

In summary, the present study found out a significant association of perioperative LMR or MHR with DVT after TJA. Moreover, the postoperative LMR had a potential to predict DVT accurately.

A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies

Objective: Nivolumab has been used for treating non-small cell lung cancer (NSCLC) worldwide. Whether neutrophil-lymphocyte ratio (NLR) can predict the prognosis of NSCLC treated with Nivolumab is still under debate. This meta-analysis was to assess the significance of NLR as a predictive factor in NSCLC patients receiving Nivolumab. Methods: Databases including PubMed, Embase, and the Cochrane library were searched to identify eligible studies evaluating the role of NLR in predicting prognosis of NSCLC treated with Nivolumab until March 2018 without language restrictions. The meta-analysis was performed using hazard ratio (HR) of progression free survival (PFS) and overall survival (OS) in NSCLC patients with various NLR. Results: A total of 14 retrospective studies consisting of 1225 NSCLC patients were included. The combined results showed that relatively higher baseline NLR was associated with poor PFS (HR = 1.44; 95% confidence interval (CI):1.18-1.77; p < 0.05) and OS (HR = 1.75; 95% CI: 1.33-2.30; p < 0.05) after treatment of Nivolumab. Subgroup analysis suggested that NLR ≥ 5 was more reliable for PFS (HR = 1.73; 95%CI: 1.14, 2.62; p < 0.05) and OS (HR = 1.76; 95%CI: 1.47, 2.10; p < 0.05). In addition, post-treatment NLR also had predictive roles for PFS (HR = 3.17; 95%CI: 1.48, 6.82; p < 0.05) and OS (HR = 2.26; 95%CI: 1.05, 4.86; p < 0.05). Conclusion: Our findings suggest that NLR can be used as a prognostic biomarker for NSCLC treating with Nivolumab, and the recommended cutoff value of NLR is 5.