Dynamic Alteration of Neutrophil-to-Lymphocyte Ratio over Treatment Trajectory is Associated with Survival in Esophageal Adenocarcinoma

Association between preoperative neutrophil-to-lymphocyte ratio and the survival outcomes of esophageal cancer patients underwent esophagectomy: a systematic review and meta-analysis

Objectives

The purpose of this study was to assess the association between preoperative neutrophil-to-lymphocyte ratio (NLR) and the survival outcomes of esophageal cancer patients who underwent esophagectomy, the latest and comprehensive systematic review performed.

Methods

Related literature retrieved from PubMed, Web of Science, Embase, and Cochrane before January 2024, according to the inclusion criteria. Outcomes measured were overall survival (OS), disease-free survival (DFS), relapse-free survival (RFS), and cancer-specific survival (CSS).

Results

Eighteen studies with 6,119 esophageal cancer patients were retained for analysis. Meta-analysis demonstrated that OS (HR: 1.47; 95% CI: 1.29, 1.67; P < 0.00001), DFS (HR: 1.62; 95% CI: 1.29, 2.05; P < 0.0001), and CSS (HR: 1.62; 95% CI: 1.29, 2.05; P < 0.0001) were significantly shorter in the high NLR group compared with the low NLR group. In addition, meta-analysis revealed a similar RFS (HR: 1.47; 95% CI: 0.92, 2.35; P = 0.10) among the two groups. Subgroup analysis of OS and DFS based on mean/median age, NLR cutoff, and region found that all subgroups remained significant difference between two groups.

Conclusion

Among esophageal cancer patients who underwent esophagectomy, preoperative NLR can be used as prognostic factor independently. High-preoperative NLR is associated with poor prognosis. More large-scale, multicenter prospective clinical studies are needed to further validate the relationship between preoperative NLR and prognosis of esophageal cancer.

Integrating MR radiomics and dynamic hematological factors predicts pathological response to neoadjuvant chemoradiotherapy in esophageal cancer

Purpose

We aimed to integrate MR radiomics and dynamic hematological factors to build a model to predict pathological complete response (pCR) to neoadjuvant chemoradiotherapy (NCRT) in esophageal squamous cell carcinoma (ESCC).

Methods

Patients with ESCC receiving NCRT and esophagectomy between September 2014 and September 2022 were retrospectively included. All patients underwent pre-treatment T2-weighted imaging as well as pre-treatment and post-treatment blood tests. Patients were randomly divided to training set and testing set at a ratio of 7:3. Machine learning models were constructed based on MR radiomics and hematological factors to predict pCR, respectively. A nomogram model was developed to integrate MR radiomics and hematological factors. Model performances were evaluated by areas under curves (AUCs), sensitivity, specificity, positive predictive value and negative.

Results

A total of 82 patients were included, of whom 39 (47.6 %) achieved pCR. The hematological model built with four hematological factors had an AUC of 0.628 (95%CI 0.391-0.852) in the testing set. Two out of 1106 extracted features were selected to build the radiomics model with an AUC of 0.821 (95%CI 0.641-0.981). The nomogram model integrating hematological factors and MR radiomics had best predictive performance, with an AUC of 0.904 (95%CI 0.770-1.000) in the testing set.

Conclusion

An integrated model using dynamic hematological factors and MR radiomics is constructed to accurately predicted pCR to NCRT in ESCC, which may be potentially useful to assist individualized preservation treatment of the esophagus.

The combination of baseline neutrophil to lymphocyte ratio and dynamic changes during treatment can better predict the survival of osteosarcoma patients

Background

Osteosarcoma is a primary malignant bone tumor with a high metastatic potential that accounts for a significant proportion of all bone tumors. The prognosis for patients with metastatic or recurrence disease remains poor. The neutrophil-to-lymphocyte ratio (NLR) has become a potential prognostic biomarker for cancer. Recent evidence suggests that the dynamic changes in neutrophil-to-lymphocyte ratio (NLR) during treatment may be more informative in predicting patient prognosis, but the value of dynamic NLR in osteosarcoma has not yet been determined.

Methods

This retrospective study retrospectively analyzed the clinical information of 251 osteosarcoma patients diagnosed and treated in West China Hospital of Sichuan University, explored the impact of baseline NLR and changes in NLR during treatment on the prognosis of osteosarcoma patients, and further combined baseline NLR with Delta NLR to build an NLR staging system.

Results

The results showed that both baseline NLR and delta NLR had some predictive ability for the prognosis of osteosarcoma patients (P = 6.90e-4, P = 0.022). Patients with high baseline NLR were more likely to have a decrease in delta NLR (P = 1.24e-10). The NLR stage had a better predictive ability than baseline NLR and delta NLR, and was an independent prognostic factor for overall survival in osteosarcoma patients HR: 2.456 (1.625-3.710) (P = 1.97e-05).

Conclusion

NLR has value in continuous monitoring, and continuous monitoring of NLR can better predict the survival of osteosarcoma patients compared to baseline NLR.

Do changes in inflammatory markers predict hepatocellular carcinoma recurrence and survival after liver transplantation?

Backgrounds/Aims

The role of inflammation in malignant cell proliferation has been well described. High values of platelet-to-lymphocyte ratio (PLR) and neutrophil-to-lymphocyte ratio (NLR) as markers of systemic inflammation have shown associations with unfavorable long-term outcomes. The purpose of this study was to determine values of NLR and PLR evaluated prior to and after surgery and their associations with mortality and recurrence rates of liver transplant patients with hepatocellular carcinoma (HCC).

Methods

A total of 105 patients with HCC who underwent orthotopic liver transplantation (OLT) were retrospectively reviewed. NLR and PLR values were obtained from complete blood counts prior to and after surgery. Overall survival (OS) and recurrence-free survival (RFS) in relation with delta NLR and PLR were estimated.

Results

Serum alpha-fetoprotein levels > 100 ng/mL (p = 0.014) and lymphovascular emboli in the specimen (p = 0.048) were identified to be significant predictors of RFS. Child-Pugh score (p = 0.016) was found to be an independent factor associated with poorer OS. An increasing delta PLR was associated with worse RFS, although it showed no significant association with OS.

Conclusions

The analysis of PLR as a continuous variable may predict recurrence outcomes in patients undergoing OLT for HCC. It is more representative than isolated values.

Predicting Response to Neoadjuvant Therapy in Oesophageal Adenocarcinoma

(1) Background: Oesophageal cancers are often late-presenting and have a poor 5-year survival rate. The standard treatment of oesophageal adenocarcinomas involves neoadjuvant chemotherapy with or without radiotherapy followed by surgery. However, less than one third of patients respond to neoadjuvant therapy, thereby unnecessarily exposing patients to toxicity and deconditioning. Hence, there is an urgent need for biomarkers to predict response to neoadjuvant therapy. This review explores the current biomarker landscape. (2) Methods: MEDLINE, EMBASE and ClinicalTrial databases were searched with key words relating to “predictive biomarker”, “neoadjuvant therapy” and “oesophageal adenocarcinoma” and screened as per the inclusion and exclusion criteria. All peer-reviewed full-text articles and conference abstracts were included. (3) Results: The search yielded 548 results of which 71 full-texts, conference abstracts and clinical trials were eligible for review. A total of 242 duplicates were removed, 191 articles were screened out, and 44 articles were excluded. (4) Discussion: Biomarkers were discussed in seven categories including imaging, epigenetic, genetic, protein, immunologic, blood and serum-based with remaining studies grouped in a miscellaneous category. (5) Conclusion: Although promising markers and novel methods have emerged, current biomarkers lack sufficient evidence to support clinical application. Novel approaches have been recommended to assess predictive potential more efficiently.

Perioperative change in neutrophil count predicts worse survival in esophageal squamous cell carcinoma

Aims: This study aimed to investigate the relationship between perioperative change in neutrophil count and survival of patients with esophageal squamous cell carcinoma. Method: Neutrophil change (Nc) (where Nc = post-surgery neutrophil count - pre-surgery neutrophil count) was counted according to data within 1 week before surgery and 2 weeks after surgery. Patients were divided into two groups, Nc ≥2.60 and Nc <2.60, according to the median of Nc. Results: Multivariate analysis revealed that Nc ≥2.60 was an independent prognostic marker for overall survival. Subgroup analysis suggested that the overall survival of male patients, patients aged ≤60 years, patients without vessel invasion and patients without nerve infiltration was dramatically worse for those with Nc <2.60. Conclusion: Perioperative change in neutrophil count predicts worse survival in esophageal squamous cell carcinoma after surgery.

Cancer related nutritional and inflammatory markers as predictive parameters of immediate postoperative complications and long-term survival after hepatectomies

BACKGROUND

The overall survival (OS), disease-free survival (DFS) and complications after liver resections is unsatisfactory. Cancer-related malnutrition and inflammation have an effect on survival but not studied/not clear on postoperative complications.

METHODS

We retrospectively analyzed prospectively maintained database of 309 patients. The outcome variables included complications in terms of Clavien-Dindo (CD) Score, OS and DFS; We studied effect of preoperative albumin globulin ratio (AGR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and aspartate transaminase to platelet ratio index (APRI) and dynamic change from pre-operative to postoperative value (Delta-AGR, Delta-NLR, Delta-PLR and Delta-APRI) on complications, OS and DFS.

RESULTS

Total 98 patients (31.71%) had postoperative complications. Fifty patients had CD 1 & 2 and 35 (11.33%) had CD 3 & 4, and 13 (4.12%) had mortality (CD 5). Low AGR, high NLR, high PLR and high Delta-AGR and high Delta-APRI predicted increased major complications. Preoperative high NLR predicted worse OS and low AGR predicted worse OS and DFS. Delta-APRI showed trends towards worse OS and DFS.

CONCLUSION

These serum inflammatory markers can predict immediate postoperative complications. Preoperative AGR and preoperative NLR can predict survival after liver resections. High Delta-AGR, which is a new entity, is predicting more postoperative complications and needs further detailed studies.

Low cardiac dose and neutrophil-to-lymphocyte ratio predict overall survival in inoperable esophageal squamous cell cancer patients after chemoradiotherapy

We aimed to determine the prognostic significance of cardiac dose and hematological immunity parameters in esophageal cancer patients after concurrent chemoradiotherapy (CCRT). During 2010-2015, we identified 101 newly diagnosed esophageal squamous cell cancer patients who had completed definitive CCRT. Patients' clinical, dosimetric, and hematological data, including absolute neutrophil count, absolute lymphocyte count, and neutrophil-to-lymphocyte ratio (NLR), at baseline, during, and post-CCRT were analyzed. Cox proportional hazards were calculated to identify potential risk factors for overall survival (OS). Median OS was 13 months (95% confidence interval [CI]: 10.38-15.63). Univariate analysis revealed that male sex, poor performance status, advanced nodal stage, higher percentage of heart receiving 10 Gy (heart V10), and higher NLR (baseline and follow-up) were significantly associated with worse OS. In multivariate analysis, performance status (ECOG 0 & 1 vs. 2; hazard ratio [HR] 3.12, 95% CI 1.30-7.48), heart V10 (> 84% vs. ≤ 84%; HR 2.24, 95% CI 1.26-3.95), baseline NLR (> 3.56 vs. ≤ 3.56; HR 2.36, 95% CI 1.39-4.00), and follow-up NLR (> 7.4 vs. ≤ 7.4; HR 1.95, 95% CI 1.12-3.41) correlated with worse OS. Volume of low cardiac dose and NLR (baseline and follow-up) were associated with worse patient survival.

The Predictive Value of Inflammatory Biomarkers in Esophageal Anastomotic Leaks

BACKGROUND

This study investigated the role of the neutrophil-to-lymphocyte ratio (NLR) in predicting anastomotic leak (AL) after esophagectomy for esophageal adenocarcinoma.

METHODS

This is a retrospective analysis of a prospectively collected database from the McGill University Health Center. Included were all patients with esophageal adenocarcinoma who underwent esophagectomy between 2005 and 2016. Patients with chronic infections, concurrent active malignancies, and autoimmune conditions were excluded. NLR values were obtained on postoperative days (POD) 0, 1, 2, and 3. Receiver operating characteristic curve study and multivariable logistic analysis were conducted to evaluate the diagnostic value of NLR.

RESULTS

The study included 330 patients, and AL developed in 16%. Mean NLR values on POD1, 2, and 3 were higher in patients with leaks (20 vs 14 on POD1, P < .001; 20 vs 12 on POD2, P < .001; and 19 vs 10 on POD3, P < .001). The NLR value on POD3 was associated with an area under the curve of 70% and a negative predictive value of 92.4%. Multivariable analyses identified higher American Society of Anesthesiologists Physical Status Classification, increasing NLR trend (between POD1 and POD3), POD1 NLR, POD2 NLR, and POD3 NLR as independent factors associated with AL.

CONCLUSIONS

Patients who developed AL demonstrate higher mean NLR values in the early postoperative period with rising trends. Conversely a low NLR is associated with a high negative predictive value for AL. This simple metric allows risk stratification that may guide treatment decisions in esophagectomy patients.