Background Neutrophil-to-lymphocyte ratio (NLR) has been shown to be associated with poor prognosis in numerous solid malignancies Here, we quantify the prognostic value of NLR in rectal cancer patients undergoing curative-intent surgery, and compare it with platelet-to-lymphocyte ratio (PLR) and lymphocyte-to-monocyte ratio (LMR) Methods A comprehensive search of several electronic databases was performed through January 2021, to identify studies evaluating the prognostic impact of pretreatment NLR in patients undergoing curative rectal cancer resection The endpoints were overall survival (OS), disease-free survival (DFS), and clinicopathologic parameters The pooled hazard ratio (HR) or odds ratio with 95% confidence interval (CI) were calculated Results Thirty-one studies comprising 7553 patients were assessed All studies evaluated NLR; thirteen and six evaluated PLR and LMR, respectively High NLR was associated with worse OS (HR 192, 95% CI 160–230, P  Conclusions In the setting of curative rectal cancer resection, pretreatment NLR correlates with tumor response to neoadjuvant therapy, and along with LMR, is a robust predictor of poorer prognosis These biomarkers may thus help risk-stratify patients for individualized treatments and enhanced surveillance

Prognostic and predictive value of neutrophil-to-lymphocyte ratio after curative rectal cancer resection: A systematic review and meta-analysis.

Prognostic role of platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte, and lymphocyte-to-monocyte ratio in operated rectal cancer patients: systematic review and meta-analysis

This study aimed to evaluate the predictive value of hematological inflammation-based indexes in the treatment response to neoadjuvant chemoradiotherapy (NCRT) in rectal mucinous adenocarcinomas (MACs). Patients with rectal MACs undergoing NCRT and curative resection were included. Inflammation-based indexes such as systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) were calculated. Receiver operator characteristics analysis was used to determine the optimal cutoff points. Multivariable logistic analysis identified predictors of good response to NCRT. A nomogram was developed and validated internally. A total of 100 patients met the inclusion criteria, with 32 patients developing good response (tumor regression grade, TRG 0 + 1) to NCRT. Lower pre-treatment SII, NLR, and PLR levels were associated with a higher probability of good response to NCRT (P = 0.025, P < 0.001, P = 0.003, respectively), and a higher pre-treatment PNI level was associated with a higher probability of good response to NCRT (P = 0.005). Logistic regression analysis demonstrated that tumor size (< 3 cm, OR = 5.489, P = 0.025), pre-treatment NLR level (< 3.05, OR = 4.025, P = 0.028), pre-treatment PLR level (< 145.98, OR = 4.337, P = 0.038), and pre-treatment PNI level (≥ 41.32, OR = 3.477, P = 0.039) were independent predictors of good response to NCRT. A nomogram was developed with a C-index of 0.827. Hematological inflammation-based indexes, in terms of pre-treatment NLR, PLR, and PNI levels, can help in predicting the treatment response to NCRT for rectal MACs.

An inflammation index-based prediction of treatment response to neoadjuvant chemoradiotherapy for rectal mucinous adenocarcinoma.

To investigate the predictive and prognostic role of pretreatment hematological parameters for tumor response and outcomes in locally advanced rectal cancer (LARC) patients undergoing surgery after neoadjuvant chemoradiotherapy (nCRT). From 2010 to 2016, 53 patients with LARC who underwent surgery following nCRT were analyzed. All hematological parameters were obtained from the initial blood tests performed before nCRT. The optimal cutoff values of significant hematological parameters for pathological tumor response (pTR), disease-free survival (DFS), and overall survival (OS) were determined using receiver operating characteristic (ROC) analysis. Patients have categorized into “good” and “poor” response groups according to their pathological results, and clinical-pathologic variables compared between the two groups. All survival analysis was calculated by the Kaplan-Meier method. Uni-multivariate analyses were performed using the Cox proportional hazard model. In the ROC analysis, neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) for OS and absolute platelet count and PLR for DFS were found as significant prognostic factors. In multivariate analysis, surgical margin, ypN stage, and elevated PLR were significantly associated with OS, and likewise, high PLR was found as an independent poor prognostic factor for DFS. The 5-year OS and DFS rates were worse in patients with high PLR group (82.3 vs. 47.3% for OS, p = 0.018 and 88.2 vs. 51.3% for DFS, p = 0.002). Pretreatment high PLR is associated with worse OS and DFS in patients with rectal cancer. To use in daily practice, further studies are needed on its validation.

Prognostic Role of Peripheral Neutrophil-Lymphocyte Ratio (NLR) and Platelet-Lymphocyte Ratio (PLR) in Patients with Rectal Cancer Undergoing Neoadjuvant Chemoradiotherapy

Combination of Neutrophil-to-Lymphocyte Ratio and Admission Glasgow Coma Scale Score Is Independent Predictor of Clinical Outcome in Diffuse Axonal Injury.

The aim of this study was to investigate the predictive value of blood-derived makers of local and systemic inflammatory responses on early and long-term oncological outcomes. A retrospective analysis of patients with locally advanced rectal cancer treated with preoperative long-course 5-fluorouracil-based radiochemotherapy was performed. Differential blood counts before neoadjuvant treatment were extracted from the patients' electronic charts. Optimal cut-off values for neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) were determined. Potential clinical and hematological prognostic factors for disease-free survival (DFS) were studied using uni- and multivariate analysis. A total of 220 patients were included in the analysis. Median follow-up was 67 months. Five-year DFS and overall survival (OS) were 70% and 85%, respectively. NLR with a cut-off value of 4.06 was identified as optimal to predict DFS events. In multivariate analysis, only tumor volume (HR 0.33, 95% CI (0.14-0.83), p = 0.017) and NLR (HR 0.3, 95% CI (0.11-0.81), p = 0.017) remained significant predictors of DFS. Patients with a good histological response (Dworak 3 and 4) to radiotherapy also had a lower NLR than patients with less pronounced tumor regression (3.0 vs. 4.2, p = 0.015). A strong correlation between primary tumor volume and NLR was seen (Pearson's r = 0.64, p < 0.001). Moreover, patients with T4 tumors had a significantly higher NLR than patients with T1-T3 tumors (6.6 vs. 3.3, p < 0.001). An elevated pretherapeutic NLR was associated with higher T stage, inferior DFS, and poor pathological response to neoadjuvant radiochemotherapy. A strong correlation between NLR and primary tumor volume was seen. This association is important for the interpretation of study results and for the design of translational studies which are warranted.

https://www.mdpi.com/1422-0067/20/10/2448/pdf

Neutrophil-to-Lymphocyte Ratio in Rectal Cancer-Novel Biomarker of Tumor Immunogenicity During Radiotherapy or Confounding Variable?

Background: The positive impact that physical activity has on patients with cancer has been shown in several studies over recent years. However, supervised physical activity programs have several limitations, including costs and availability. Therefore, our study proposes a novel approach for the implementation of a patient-executed, activity tracker–guided exercise program to bridge this gap.
Objective: Our trial aims to investigate the impact that an activity tracker–guided, patient-executed exercise program for patients undergoing radiotherapy has on cancer-related fatigue, health-related quality of life, and preoperative health status.
Methods: Patients receiving postoperative radiotherapy for breast cancer (OnkoFit I trial) or neoadjuvant, definitive, or postoperative treatment for other types of solid tumors (OnkoFit II trial) will be randomized (1:1:1) into 3-arm studies. Target accrual is 201 patients in each trial (50 patients per year). After providing informed consent, patients will be randomized into a standard care arm (arm A) or 1 of 2 interventional arms (arms B and C). Patients in arms B and C will wear an activity tracker and record their daily step count in a diary. Patients in arm C will receive personalized weekly targets for their physical activity. No further instructions will be given to patients in arm B. The target daily step goals for patients in arm C will be adjusted weekly and will be increased by 10% of the average daily step count of the past week until they reach a maximum of 6000 steps per day. Patients in arm A will not be provided with an activity tracker. The primary end point of the OnkoFit I trial is cancer-related fatigue at 3 months after the completion of radiotherapy. This will be measured by the Functional Assessment of Chronic Illness Therapy-Fatigue questionnaire. For the OnkoFit II trial, the primary end point is the overall quality of life, which will be assessed with the Functional Assessment of Cancer Therapy-General sum score at 6 months after treatment to allow for recovery after possible surgery. In parallel, blood samples from before, during, and after treatment will be collected in order to assess inflammatory markers.
Results: Recruitment for both trials started on August 1, 2020, and to date, 49 and 12 patients have been included in the OnkoFit I and OnkoFit II trials, respectively. Both trials were approved by the institutional review board prior to their initiation.
Conclusions: The OnkoFit trials test an innovative, personalized approach for the implementation of an activity tracker–guided training program for patients with cancer during radiotherapy. The program requires only a limited amount of resources.
Trial Registration: ClinicalTrials.gov NCT04506476; https://clinicaltrials.gov/ct2/show/NCT04506476. ClinicalTrials.gov NCT04517019; https://clinicaltrials.gov/ct2/show/NCT04517019.

/pdf/an-activity-tracker-guided-physical-activity-program-for-3zpm0ru3fj.pdf

An Activity Tracker-Guided Physical Activity Program for Patients Undergoing Radiotherapy: Protocol for a Prospective Phase III Trial (OnkoFit I and II Trials).

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Neutrophil-to-Lymphocyte Ratio in Rectal Cancer-Novel Biomarker of Tumor Immunogenicity During Radiotherapy or Confounding Variable?

An Activity Tracker-Guided Physical Activity Program for Patients Undergoing Radiotherapy: Protocol for a Prospective Phase III Trial (OnkoFit I and II Trials).