Usefulness of Neutrophil to Lymphocyte Ratio at Recurrence for Predicting Long-Term Outcomes in Patients with Recurrent Esophageal Squamous Cell Carcinoma

Preoperative neutrophil-to-lymphocyte ratio predicts recurrence of esophageal squamous cell carcinoma after neoadjuvant triplet chemotherapy

BACKGROUND

Neoadjuvant chemotherapy followed by esophagectomy is the standard treatment for resectable advanced esophageal squamous cell carcinoma (ESCC) in Japan. Triplet chemotherapy is the standard neoadjuvant regimen. Inflammatory markers such as neutrophil-to-lymphocyte ratio (NLR) are well-known prognostic factors for esophageal cancer. However, their usefulness in patients with resectable advanced disease undergoing esophagectomy after neoadjuvant triplet chemotherapy is unknown.

METHOD

We examined 144 ESCC patients who underwent neoadjuvant triplet chemotherapy followed by esophagectomy between January 2015 and December 2020 to investigate the relationship between inflammatory markers and recurrence-free survival (RFS). Optimal marker cutoff values for RFS were determined using receiver operating characteristic curve analysis. Patients were divided into high and low NLR groups (NLR cutoff, 3.0).

RESULTS

NLR was high in 61 patients and low in 83. Univariate analyses demonstrated that low NLR was significantly associated with worse RFS (p = 0.049). Multivariate analyses demonstrated that high NLR was an independent predictor of RFS (odds ratio, 1.911; 95% confidence interval, 1.098-3.327; p = 0.022). RFS significantly differed between the low and high NLR groups. RFS did not significantly differ between the patients when stratified according to the other inflammatory markers.

CONCLUSION

Preoperative NLR is an easily obtained and useful predictor of RFS in patients with resectable advanced ESCC treated with neoadjuvant triplet chemotherapy followed by esophagectomy.

Survival outcomes of esophageal cancer patients with recurrence after curative treatments

BACKGROUND

Little is known about predictive factors for survival outcomes of esophageal carcinoma (EC) patients who developed recurrence after undergoing multimodal therapies. We aimed to investigate long-term outcomes and identify prognostic factors in patients with relapsed EC, focusing especially on those with oligometastasis (OM).

METHODS

EC patients who developed recurrence after curative treatments (radical esophagectomy or definitive chemoradiotherapy (dCRT)) between 2010 and 2017 were reviewed. Multivariate Cox hazards models were applied to determine independent predictors of poor post-recurrence survival (PRS).

RESULTS

In total, 178 patients were included. The median PRS was 12.9 months. Of the 178 patients, 98 had OM and 80 non-OM (NOM) disease. The survival outcomes of patients with OM were significantly better than those of patients with NOM (P < 0.01). Surgical treatments provided significantly better survival outcomes than CRT or chemo-/radiotherapy alone (3-year overall survival (OS); 78.1% vs. 42.5% vs. 28.9%, P < 0.01), mainly due to prolonging survival after the recurrence (3-year PRS 62.9% vs. 16.7% vs. 16.2%, P < 0.01). Multivariable analysis focusing on patients with OM revealed cStage III-IV disease (P < 0.01), high GPS at the time of recurrence (P = 0.02) and non-curative treatments (P < 0.01), to be independently associated with poor PRS. In contrast, in patients with NOM, no independent predictors for poor PRS were identified.

CONCLUSIONS

The survival outcomes of patients with relapsed EC remain poor. Surgical treatments could provide survival benefits for patients with recurrent EC, especially for patients with OM.

The neutrophil-to-lymphocyte ratio as a new prognostic factor in cancers: a narrative review

The increasing incidence of cancer globally has highlighted the significance of early diagnosis and improvement of treatment strategies. In the 19th century, a connection was made between inflammation and cancer, with inflammation recognized as a malignancy hallmark. The neutrophil-to-lymphocyte ratio (NLR), calculated from a complete blood count, is a simple and accessible biomarker of inflammation status. NLR has also been proven to be a prognostic factor for various medical conditions, including mortality classification in cardiac patients, infectious diseases, postoperative complications, and inflammatory states. In this narrative review, we aim to assess the prognostic potential of NLR in cancer. We will review recent studies that have evaluated the association between NLR and various malignancies. The results of this review will help to further understand the role of NLR in cancer prognosis and inform future research directions. With the increasing incidence of cancer, it is important to identify reliable and accessible prognostic markers to improve patient outcomes. The study of NLR in cancer may provide valuable insights into the development and progression of cancer and inform clinical decision-making.

Pretreatment absolute lymphocyte count is an independent predictor for survival outcomes for esophageal squamous cell carcinoma patients treated with neoadjuvant chemoradiotherapy and pembrolizumab: An analysis from a prospective cohort

BACKGROUND

The aim of the study was to analyze the relationship between pretreatment inflammatory biomarkers (IBs) and survival outcomes for patients with esophageal squamous cell carcinoma (ESCC) treated with neoadjuvant chemoradiotherapy (neo-CRT) and pembrolizumab.

METHODS

Clinical variables and IBs (absolute monocyte count [AMC], absolute lymphocyte count [ALC], platelet count [PLT], neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], lymphocyte-to-monocyte ratio [LMR], pan-immune inflammation value [PIV], systemic immunoinflammatory index [SII], systemic immunoreactivity index [SIRI] and prognostic nutritional index [PNI]) were collected. Univariate and multivariate analysis were performed to identify the independent factors for outcomes of ESCC.

RESULTS

A total of 51 patients were included. Of these, 35 patients achieved pathological complete response (pCR) after neo-CRT and pembrolizumab (pCR: 68.6%). With a median follow-up of 20 months, the two-year PFS and OS of the cohort was 64% and 91%, respectively. Multivariate logistic regression analysis indicated that ALC (overall response [OR] 4.4, p = 0.051) and PLT (OR 6.7, p = 0.023) were two independent predictors for achieving pCR among ESCC treated with neo-CRT and pembrolizumab. Multivariate Cox regression analysis showed that ALC (HR 0.27, p = 0.028) and SIRI (HR 3.13, p = 0.048) were two independent predictors associated with PFS. Kaplan Meier analysis demonstrated that the PFS of ESCC with high baseline ALC was significantly better than those with low ALC (2-year PFS: 77% vs. 47%, p = 0.027), but not for overall survival (2-year OS: 96% vs. 87%, p = 0.46).

CONCLUSIONS

This retrospective analysis based on a prospective cohort for the first time demonstrates that pretreatment ALC is an independent predictor for achieving pCR and favorable outcomes of ESCC treated with neo-CRT and pembrolizumab.

Inflammatory biomarkers as predictors of immune activation to different irradiated sites and short-term efficacy in advanced squamous cell esophageal carcinoma received radioimmunotherapy

Purpose

The present study aimed to compare immune activation among different irradiated sites and identify potential short-term efficacy prognostic factors in patients with advanced squamous cell esophageal carcinoma (ESCC) who received radiotherapy (RT) and immunotherapy.

Patients and methods

We recorded the clinical characteristics, blood cell counts, and derived blood index ratios, including neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), at three time points (before, during, and after RT) in 121 patients with advanced ESCC who had received RT and immunotherapy. Chi-square test and univariate and multivariate logistic regression analyses were used to calculate the relationships among inflammatory biomarkers (IBs), irradiated sites, and short-term efficacy.

Results

Delta-IBs were calculated as (medio-IBs - pre-IBs) ÷ pre-IBs. The medians of delta-LMR, and delta-ALC were the highest, whereas the median of delta-SII was the lowest in patients with brain radiation. Treatment responses were observed within 3 months after RT or until the beginning of the next line therapy, and the disease control rate (DCR) was 75.2%. The areas under the receiver operating characteristic curve (AUCs) for delta-NLR and delta-SII were 0.723 (p = 0.001) and 0.725 (p < 0.001), respectively. Multivariate logistic regression analysis showed that the treatment lines of immunotherapy (odds ratio [OR], 4.852; 95% confidence interval [CI], 1.595-14.759; p = 0.005) and delta-SII (OR, 5.252; 95% CI, 1.048-26.320; p = 0.044) were independent indicators of short-term efficacy.

Conclusion

In this study, we found that RT to the brain had a stronger immune activation effect than RT to extracranial organs. We also found that earlier-line immunotherapy plus RT and a decrease in SII during RT may generate better short-term efficacy in advanced ESCC.

The Usability of Intensive Imaging Surveillance After Esophagectomy in Patients with Esophageal Cancer

BACKGROUND

Although imaging surveillance after esophagectomy is required to achieve long-term survival for patients with esophageal cancer, the optimal surveillance timing and interval remain unclear. This study was designed to investigate the differences in oncological outcomes based on the detection method for recurrence and surveillance interval in patients with recurrence detected by routine imaging examination after esophagectomy.

METHODS

A total of 527 patients who underwent thoracic esophagectomy for esophageal cancer with R0 resection between 2003 and 2021 in our department were enrolled in this study. Postoperative, routine surveillance was conducted at an outpatient clinic every 3 months, thoracoabdominal computed tomography (CT) every 4-6 months, and esophagogastroduodenoscopy every 6 months. The detection method and optimal interval of imaging surveillance also were investigated.

RESULTS

Of all patients, 161 patients developed recurrence during surveillance; 110 (68.3 %) by routine surveillance and 37 (23.0%) not detected by routine surveillance. Among patients who were diagnosed with recurrence following routine surveillance, patients with pStage IV disease on imaging surveillance by thoracoabdominal CT at an interval of ≤ 5 months had a better survival rate than those with an interval of 6 months (P = 0.004), whereas no significant difference among different intervals was observed in patients with pStage I-III disease.

CONCLUSIONS

Recurrence may have been detectable by our routine surveillance in approximately 70% of patients who developed recurrence. These findings demonstrate the necessity of different imaging surveillance intervals for different pStages of esophageal cancer.

Neutrophil-to-lymphocyte ratio change predicts histological response to and oncological outcome of neoadjuvant chemotherapy for esophageal squamous cell carcinoma

BACKGROUND

Evaluating tumor response to neoadjuvant chemotherapy (NAC) is important to predict survival and to select the optimal strategy for patients with esophageal cancer. The aim of this study is to investigate the relation between neutrophil-to-lymphocyte ratio (NLR) change after NAC and histological response and oncological outcomes in patients with esophageal cancer.

METHODS

This study enrolled 209 patients who underwent NAC and thoracic esophagectomy for esophageal cancer as the primary treatment between 2000 and 2019 in our department. Several predictors of survival including NLR change, which was calculated as post-NAC NLR/pre-NAC NLR, were investigated. We used classification and regression tree (CART) analysis to determine the optimal cutoff values of NLR change for the prediction of histological response.

RESULTS

The best cutoff value of NLR change was 0.55 using the CART analysis. Then we divided all patients into two groups; the patients with NLR change below the cutoff were allocated to the NLR reduction group (n = 53), whereas the patients with NLR change above the cutoff were allocated to the no-NLR reduction group (n = 156). NLR change was identified as a significant predictor for histological responder (odds ratio 3.80; 95% confidence interval (CI) 1.69-8.58; p = 0.001) and recurrence-free survival (hazard ratio 0.55; 95% CI 0.33-0.89; p = 0.015) in multivariable analysis.

CONCLUSION

The present study demonstrated that NLR change is associated with both histological response to and oncological outcomes of NAC for patients with esophageal cancer. NLR change can help not only to predict survival, but also to facilitate personalized multidisciplinary treatment.

Elevation of the Prognostic Factor Plasma Fibrinogen Reflects the Immunosuppressive Tumor Microenvironment in Esophageal Squamous Cell Carcinoma

INTRODUCTION

Despite previous reports on the clinical significance of plasma fibrinogen (FNG) levels as a prognostic indicator of ESCC, its underlying mechanism remains unclear. This study aimed to validate the prognostic impact of plasma FNG levels and clarify its relationship with primary tumors in patients with esophageal squamous cell carcinoma (ESCC).

METHODS

The prognostic impact of FNG was evaluated in patients with ESCC who underwent esophagectomy between 2000 and 2019. The RNA sequencing of the primary ESCC site, which was from pre-operative biopsy, was performed, followed by immune profile characterization using an immunogram. Those profiles were assessed via the immunohistochemical staining of tumor-associated macrophages (TAMs) and clinical response to nivolumab.

RESULTS

Multivariate analysis identified FNG as a significant prognostic factor in ESCC. The immunogram suggested an immunosuppressive tumor environment in the high-FNG group. Immunostaining with the TAM markers CD163 and CD204, revealed that the high-FNG group had significantly higher number of TAMs compared with the low-FNG group. The immunosuppressive characteristics were clinically validated in patients with metastatic ESCC; those who had elevated FNG levels showed poor response to nivolumab.

CONCLUSION

This study successfully validated the prognostic impact of plasma FNG levels in an expanded cohort with ESCC. Accordingly, our findings showed that increased plasma FNG reflects an immunosuppressive tumor microenvironment that facilitates tumor progression and poor responses to nivolumab.

Gray-Level Co-occurrence Matrix Analysis for the Detection of Discrete, Ethanol-Induced, Structural Changes in Cell Nuclei: An Artificial Intelligence Approach

Gray-level co-occurrence matrix (GLCM) analysis is a contemporary and innovative computational method for the assessment of textural patterns, applicable in almost any area of microscopy. The aim of our research was to perform the GLCM analysis of cell nuclei in Saccharomyces cerevisiae yeast cells after the induction of sublethal cell damage with ethyl alcohol, and to evaluate the performance of various machine learning (ML) models regarding their ability to separate damaged from intact cells. For each cell nucleus, five GLCM parameters were calculated: angular second moment, inverse difference moment, GLCM contrast, GLCM correlation, and textural variance. Based on the obtained GLCM data, we applied three ML approaches: neural network, random trees, and binomial logistic regression. Statistically significant differences in GLCM features were observed between treated and untreated cells. The multilayer perceptron neural network had the highest classification accuracy. The model also showed a relatively high level of sensitivity and specificity, as well as an excellent discriminatory power in the separation of treated from untreated cells. To the best of our knowledge, this is the first study to demonstrate that it is possible to create a relatively sensitive GLCM-based ML model for the detection of alcohol-induced damage in Saccharomyces cerevisiae cell nuclei.