Preoperative lymphocyte count is an independent prognostic factor in node-negative non-small cell lung cancer

Predicting lymphovascular invasion in N0 stage non-small cell lung cancer: A nomogram based on Dual-energy CT imaging and clinical findings

PURPOSE

To construct a nomogram for predicting lymphovascular invasion (LVI) in N0 stage non-small cell lung cancer (NSCLC) using dual-energy computed tomography (DECT) findings combined with clinical findings.

METHODS

We retrospectively recruited 135 patients with N0 stage NSCLC from two hospitals underwent DECT before surgery and were divided into development cohort (n = 107) and validation cohort (n = 28). The clinical findings (baseline characteristics, biochemical markers, serum tumor markers and Immunohistochemical markers), DECT-derived parameters (iodine concentration [IC], effective atomic number [Eff-Z] and normalized iodine concentration [NIC], iodine enhancement [IE] and NIC ratio [NICr]) and Fractal dimension (FD) were collected and measured. A nomogram was constructed using significant findings to predict LVI in N0 stage NSCLC and was externally validated.

RESULTS

Multivariable analysis revealed that lymphocyte count (LYMPH, odds ratio [OR]: 3.71, P=0.014), IC in arterial phase (ICa, OR: 1.25, P=0.021), NIC in venous phase (NICv, OR: 587.12, P=0.009) and FD (OR: 0.01, P=0.033) were independent significant factors for predicting LVI in N0 stage NSCLC, and were used to construct a nomogram. The nomogram exhibited robust predictive capabilities in both the development and validation cohort, with AUCs of 0.819 (95 % CI: 72.6-90.4) and 0.844 (95 % CI: 68.2-95.8), respectively. The calibration plots showed excellent agreement between the predicted probabilities and the actual rates of positive LVI, on external validation.

CONCLUSIONS

Combination of clinical and DECT imaging findings could aid in predicting LVI in N0 stage NSCLC using significant findings of LYMPH, ICa, NICv and FD.

Short-term effects of preoperative nutritional intervention in lung surgery for malignant tumors: a single-center prospective study

OBJECTIVES

Preoperative malnutrition is a risk factor for postoperative morbidity and mortality in patients with lung cancer. Assessing the preoperative nutritional status should be considered essential for patients scheduled to undergo lung surgery. This prospective study aimed to investigate whether preoperative nutritional intervention improves the nutritional conditions and short-term postoperative outcomes.

METHODS

The primary endpoints included safety, feasibility and short-term therapeutic efficacy of preoperative nutritional intervention. Patients with clinical stage I-III non-small cell lung cancer (histologically proven or suspected) were screened. Patient enrollment was conducted between January 2021 and December 2022. A total of 15 patients were included in the analysis. Patients with a preoperative prognostic nutritional index of < 45 were considered eligible. All participants received preoperative nutritional intervention. The trajectories of prognostic nutritional index and the incidence of postoperative complication rates in the intervention group were investigated.

RESULTS

No adverse events were observed during the nutritional intervention. The pre-intervention and post-intervention prognostic nutritional indices were 42.2 (39.8-44.5), and 43.1 (41.4-45.9), respectively (p = 0.04). The postoperative complication rate was 26.7% (n = 15).

CONCLUSIONS

This is the first prospective study to report the preoperative trajectories of prognostic nutritional index in patients undergoing lung cancer surgery. Our results suggest the safety and feasibility of preoperative nutritional intervention. Further research, such as randomized clinical trials, is warranted to investigate clinical efficacy and optimal nutritional interventions for lung surgery for malignant tumors.

Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study

Optimizing early breast cancer (BC) detection requires effective risk assessment tools. This retrospective study from Brazil showcases the efficacy of machine learning in discerning complex patterns within routine blood tests, presenting a globally accessible and cost-effective approach for risk evaluation. We analyzed complete blood count (CBC) tests from 396,848 women aged 40-70, who underwent breast imaging or biopsies within six months after their CBC test. Of these, 2861 (0.72%) were identified as cases: 1882 with BC confirmed by anatomopathological tests, and 979 with highly suspicious imaging (BI-RADS 5). The remaining 393,987 participants (99.28%), with BI-RADS 1 or 2 results, were classified as controls. The database was divided into modeling (including training and validation) and testing sets based on diagnostic certainty. The testing set comprised cases confirmed by anatomopathology and controls cancer-free for 4.5-6.5 years post-CBC. Our ridge regression model, incorporating neutrophil-lymphocyte ratio, red blood cells, and age, achieved an AUC of 0.64 (95% CI 0.64-0.65). We also demonstrate that these results are slightly better than those from a boosting machine learning model, LightGBM, plus having the benefit of being fully interpretable. Using the probabilistic output from this model, we divided the study population into four risk groups: high, moderate, average, and low risk, which obtained relative ratios of BC of 1.99, 1.32, 1.02, and 0.42, respectively. The aim of this stratification was to streamline prioritization, potentially improving the early detection of breast cancer, particularly in resource-limited environments. As a risk stratification tool, this model offers the potential for personalized breast cancer screening by prioritizing women based on their individual risk, thereby indicating a shift from a broad population strategy.

Evaluation of the preoperative neutrophil-to-lymphocyte ratio as a predictor of the micropapillary component of stage IA lung adenocarcinoma

OBJECTIVE

To assess the ability of markers of inflammation to identify the solid or micropapillary components of stage IA lung adenocarcinoma and their effects on prognosis.

METHODS

We performed a retrospective study of clinicopathologic data from 654 patients with stage IA lung adenocarcinoma collected between 2013 and 2019. Logistic regression analysis was used to identify independent predictors of these components, and we also evaluated the relationship between markers of inflammation and recurrence.

RESULTS

Micropapillary-positive participants had high preoperative neutrophil-to-lymphocyte ratios. There were no significant differences in the levels of markers of systemic inflammation between the participants with or without a solid component. Multivariate analysis showed that preoperative neutrophil-to-lymphocyte ratio (odds ratio [OR] = 2.094; 95% confidence interval [CI], 1.668-2.628), tumor size (OR = 1.386; 95% CI, 1.044-1.842), and carcinoembryonic antigen concentration (OR = 1.067; 95% CI, 1.017-1.119) were independent predictors of a micropapillary component. There were no significant correlations between markers of systemic inflammation and the recurrence of stage IA lung adenocarcinoma.

CONCLUSIONS

Preoperative neutrophil-to-lymphocyte ratio independently predicts a micropapillary component of stage IA lung adenocarcinoma. Therefore, the potential use of preoperative neutrophil-to-lymphocyte ratio in the optimization of surgical strategies for the treatment of stage IA lung adenocarcinoma should be further studied.

Prognostic significance of a novel index score based on the inflammation-based prognostic scores of patients with colorectal cancer

BACKGROUND AND AIM

This study aimed to clarify the prognostic value of various inflammation-based prognostic scores (IBPSs) in patients who underwent radical surgery for colorectal cancer (CRC) and to develop a novel prognostic index using IBPSs and other predictive factors.

METHODS

Data of 1157 patients who underwent radical surgery for CRC were reviewed. The predictive value of various IBPSs in determining the CRC prognosis was compared. A novel index score based on the IBPSs and other parameters that were associated with survival in patients with CRC was established, and its usefulness was evaluated.

RESULTS

The patients were randomly divided into the training (n = 694) and validation (n = 463) sets. Male sex (P = 0.0001), age ≥ 75 years (P < 0.0001), a carcinoembryonic antigen (CEA) level of > 5 (P = 0.0009), a C-reactive protein/albumin ratio (CAR) of ≥ 0.04 (P = 0.0033), and a prognostic nutritional index (PNI) of < 43.1 (P = 0.0004) were poor independent prognostic factors of overall survival. The novel index score was calculated based on the scores of these five prognostic factors. The Kaplan-Meier survival curves showed that the CRC patients with higher novel index scores in the training and validation datasets had poorer overall survival.

CONCLUSIONS

CAR and PNI were superior to other IBPSs for predicting the prognosis of CRC patients. The novel index score established based on sex, age, CEA level, CAR, and PNI can predict the prognosis of CRC with more precise and clearer stratification than the individual parameters alone.

A Review of Biomarkers and Their Clinical Impact in Resected Early-Stage Non-Small-Cell Lung Cancer

The postoperative survival of early-stage non-small-cell lung cancer (NSCLC) patients remains unsatisfactory. In this review, we examined the relevant literature to ascertain the prognostic effect of related indicators on early-stage NSCLC. The prognostic effects of the epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), mesenchymal-epithelial transition (MET), C-ros oncogene 1 (ROS1), or tumour protein p53 (TP53) alterations in resected NSCLC remains debatable. Kirsten rat sarcoma viral oncogene homologue (KRAS) alterations indicate unfavourable outcomes in early-stage NSCLC. Meanwhile, adjuvant or neoadjuvant EGFR-targeted agents can substantially improve prognosis in early-stage NSCLC with EGFR alterations. Based on the summary of current studies, resected NSCLC patients with overexpression of programmed death-ligand 1 (PD-L1) had worsening survival. Conversely, PD-L1 or PD-1 inhibitors can substantially improve patient survival. Considering blood biomarkers, perioperative peripheral venous circulating tumour cells (CTCs) and pulmonary venous CTCs predicted unfavourable prognoses and led to distant metastases. Similarly, patients with detectable perioperative circulating tumour DNA (ctDNA) also had reduced survival. Moreover, patients with perioperatively elevated carcinoembryonic antigen (CEA) in the circulation predicted significantly worse survival outcomes. In the future, we will incorporate mutated genes, immune checkpoints, and blood-based biomarkers by applying artificial intelligence (AI) to construct prognostic models that predict patient survival accurately and guide individualised treatment.

Can postoperative complications be reduced by the application of ERAS protocols in operated non-small cell lung cancer patients?

Background

In our study, we aimed to evaluate the length of hospital stay and complication rate of patients before and after application o f t he E nhanced R ecovery A fter S urgery ( ERAS) protocols.

Methods

Between January 2001 and January 2021, a total of 845 patients (687 males, 158 females; mean age: 55±11 years; range, 19 to 89 years) who were operated with the diagnosis of non-small cell lung carcinoma were retrospectively analyzed. The patients were divided into three groups as follows: patients between 2001 and 2010 were evaluated as pre-ERAS (Group 1, n=285), patients between 2011 and 2015 as preparation for ERAS period (Group 2, n=269), and patients who had resection between 2016 and 2021 as the ERAS period (Group 3, n=291).

Results

All three groups were similar in terms of clinical, surgical and demographic characteristics. Smoking history was statistically significantly less in Group 3 (p=0.005). The forced expiratory volume in 1 sec/forced vital capacity and albumin levels were statistically significantly higher in Group 3 (p<0.001 and p=0.019, respectively). The leukocyte count and tumor maximum standardized uptake value were statistically significantly higher in Group 1 (p=0.018 and p=0.014, respectively). Postoperative hospitalization day, complication rate, and intensive care hospitalization rates were statistically significantly lower in Group 3 (p<0.001). The rate of additional disease was statistically significantly higher in Group 1 (p=0.030). Albumin level (<2.8 g/dL), lymphocyte/monocyte ratio (<1.35), and hemoglobin level (<8.3 g/dL) were found to be significant predictors of complication development.

Conclusion

With the application of ERAS protocols, length of postoperative hospital stay, complication rate, and the need for intensive care hospitalization decrease. Preoperative hemoglobin level, albumin level, and lymphocyte/monocyte ratio are the predictors of complication development. Increasing hemoglobin and albumin levels before operation may reduce postoperative complications.

The Utility of Pre-Treatment Inflammation Markers as Associative Factors to the Adverse Outcomes of Vulvar Cancer: A Study on Staging, Nodal Involvement, and Metastasis Models

BACKGROUND

Given the role of inflammation in carcinogenesis, this study investigated the utility of pre-treatment inflammatory markers as associative indicators for advanced-stage disease, lymph node metastasis (LNM), and distant metastasis (DM) in vulvar cancer (VC).

METHODS

A cross-sectional study was conducted on 86 women with VC in a single centre in Jakarta, Indonesia. The laboratory data was based on C-reactive protein (CRP), procalcitonin, the erythrocyte sedimentation rate (ESR) and fourteen derived, recorded and calculated ratios: leukocyte-to-platelet (LPR), neutrophil-to-lymphocyte (NLR), derived neutrophil-to-lymphocyte (dNLR), neutrophil-to-monocyte (NMR), platelet-to-monocyte (PLR), lymphocyte-to-monocyte (LMR), basophil-to-monocyte (BLR), systemic immune-inflammation index (SII), body mass index, albumin, and NLR (BAN) score, haemoglobin-to-platelet (HPR), prognostic nutritional index (PNI), modified Glasgow Prognostic Score (mGPS), CRP-to-albumin, and CRP-to-procalcitonin. The optimal cut-off for each marker was determined using receiver operating characteristic (ROC) curve analysis, and their diagnostic indicator performances were assessed. The utility of these ratios as associative factors for three endpoints was further evaluated in multivariate regression models.

RESULTS

Investigated inflammatory markers exhibited specific performances for individual adverse outcomes, proving a fair to excellent ability in case finding and screening. After adjustment, the BAN score ≤ 334.89 (OR 9.20, p = 0.001) and ESR ≥ 104 (OR 4.18, p = 0.048) become two advanced-stage associative factors with AUC: 0.769. LNM was solely determined by higher NLR ≥ 2.83 (OR 4.15, p = 0.014) with AUC: 0.615. Meanwhile, BLR ≥ 0.035 (OR 5.67, p = 0.001) and ESR ≥ 84 (OR 6.01, p = 0.003) were contributing factors for DM, with AUC: 0.765.

CONCLUSIONS

Inflammatory markers are crucial for identifying the deleterious outcomes of VC. Accordingly, yielded models require external validation.

Pretreatment "prognostic nutritional index" as an indicator of outcome in lung cancer patients receiving ICI-based treatment: Systematic review and meta-analysis

BACKGROUND

The pretreatment prognostic nutritional index (PNI) is an indicator of nutritional and immune status, and has potential use as a predictor of survival in cancer patients. Several retrospective studies have used the PNI to predict the outcome of lung cancer patients receiving different immune checkpoint inhibitors (ICIs), but the results have been inconsistent. The objective of our study is to assess the relationship of pretreatment PNI with survival outcomes in lung cancer patients who received ICI-based treatments by meta-analysis.

METHODS

We searched the EMBASE, PubMed, Cochrane Library, American Society of Clinical Oncology, and European Society of Medical Oncology databases to identify studies that reported overall survival (OS) or progression-free survival (PFS) in eligible patients. Eight studies were eligible based on predefined inclusion and exclusion criteria. Data and pooled indicators were extracted from these studies. Meta-analysis was used to analyze hazard ratios (HRs) and 95% confidence intervals (CIs) for OS and/or PFS and the prognostic value of pretreatment PNI. We completed the registration of the research protocol (Registration number: INPLASY202240087, DOI number: 10.37766/inplasy2022.4.0087).

RESULTS

We analyzed data from 8 eligible studies (831 patients). Meta-analysis showed that relative to patients with low pretreatment PNI, those with a high pretreatment PNI had better OS (HR = 2.50, 95% CI = 1.44-4.33, P = .001) and better PFS (HR = 1.94, 95% CI = 1.56-2.42, P < .001). Sensitivity analysis indicated these results were robust. There was also no evidence of publication bias.

CONCLUSION

Lung cancer patients receiving ICI-based treatments who had higher pretreatment PNI had better OS and PFS.

Novel nomograms predicting the survival of patients with nonsurgical thoracic esophageal squamous cell carcinoma treated with IMRT: A retrospective analysis

The purpose of this study was to evaluate several preradiotherapy serum inflammatory indicators, including the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation score (SIS), and compare which of these indicators had the highest value in predicting survival. Inflammatory markers were combined with traditional prognostic factors, and novel nomogram models were developed to predict overall survival (OS) and progression-free survival (PFS) for patients with esophageal squamous cell carcinoma. A total of 245 patients were enrolled. The Kaplan-Meier method and univariate and multivariate analyses were used to compare survival differences. A total of 239 patients met the eligibility criteria. The survival numbers at 1, 3, and 5 years were 176, 83, and 62, respectively. The OS and PFS rates estimated at 1, 3, and 5 years were 74.6%, 36.8%, and 26.5% and 58.4%, 31.3%, and 20.5%, respectively. The differences in patients' OS and PFS were significant when univariate analysis was applied based on inflammation-based measures. Multivariate analysis showed that tumor length, tumor stage, tumor/node/metastasis stage, chemotherapy, and SIS value were predictive variables for OS and PFS. The nomogram model established based on the multivariate models of the training data set had good predictive ability. The unadjusted C-index was 0.701 (95% CI, 0.662-0.740) and 0.695 (95% CI, 0.656-0.734) for OS and PFS, respectively. This study showed that the SIS-based nomogram could accurately predict the OS and PFS of patients with esophageal squamous cell carcinoma.

Clinico-Immunological Effects of a Single-Agent CDK4/6 Inhibitor in Advanced HR+/HER2- Breast Cancer Based on a Window of Opportunity Study

Background: Cyclin-dependent kinase 4/6 inhibitors (CDK4/6 i), abemaciclib, palbociclib, and ribociclib, have been FDA-approved for the treatment of hormone receptor-positive (HR+), HER2−negative (HER2−) advanced breast cancer (aBC). This targeted therapy has revived hope in those aBC patients who did not respond to standard therapies. Interestingly, when administered as a single agent, CDK4/6 modulated several peripheral blood cells after a short-course treatment of 28 days. However, the impact of these immune effects has yet to be thoroughly investigated. Methods: We administered abemaciclib, palbociclib, and ribociclib monotherapy to 23 patients with HR+/HER2− metastatic breast cancer. The aim is to investigate the impact of on-treatment modifications on peripheral blood cells and their composite scores in patients after a 28-day course of CDK4/6 i alone. Results: In the current study, we observed a significant decrease in neutrophils (p-value < 0.001) for patients treated with abemaciclib, palbociclib, and ribociclib. An overall decrease of Tregs was observed and potentially linked to palbociclib treatment. The neutrophile to lymphocyte (N/L) ratio was also decreased overall and potentially linked to abemaciclib and palbociclib treatment. Platelets were decreased in patients administered with abemaciclib. Notably, the radiometabolic response was available only for those patients treated with ribociclib and abemaciclib, and only those lesions treated with ribociclib reached statistical relevance. Conclusions: Our study strongly supports the notion that CDK4/6 inhibitors induce tumour immune modulation. N/L ratio and platelet levels decreased due to treatment. Future studies should test whether patients would benefit from immunomodulators in association with CDK4/6 agents in a larger clinical trial. Moreover, the CDK4/6-induced immune modulation could also be considered a potential predictive clinical factor in HR+/HER2− advanced breast cancer.

Development and Validation of a Prediction Model for Chronic Post-Surgical Pain After Thoracic Surgery in Elderly Patients: A Retrospective Cohort Study

Purpose

Chronic post-surgical pain (CPSP) is one of the adverse outcomes after surgery, especially in thoracotomy. However, the prevalence of CPSP in elderly adults (≥65 years), is still limited. Therefore, the present study was undertaken to establish and validate the prediction model of CPSP in those patients after thoracic surgery, including thoracotomy and video-assisted thoracoscopic surgery.

Patients and Methods

This retrospective, observational single-center cohort study was conducted in Nanfang Hospital, Southern Medical University, which randomly and consecutively collected 577 elderly patients who underwent thoracic surgery between January 1, 2017, and December 31, 2020. According to the Akaike information criterion, the prediction model was built based on all the data and was validated by calibration with 500 bootstrap samples.

Results

The mean age of participants was 69.09±3.80 years old, and 63.1% were male. The prevalence of CPSP was 26.9%. Age more than 75 years, BMI, blood loss, longer length of hospital stays, and higher pre-operative neutrophil count were associated with CPSP. Except for these factors, we incorporated history of drinking to build up the prediction model. The areas under the curve (AUCs) of the prediction models were 0.66 (95% CI, 0.61–0.71) and 0.64 (95% CI, 0.59–0.69) in the observational and validation cohorts, respectively. And the calibration curve of the predictive model showed a good fit between the predicted risk of CPSP and observed outcomes in elderly patients.

Conclusion

The present developed model may help clinicians to find high-risk elderly patients with CPSP after thoracic surgery and take corresponding measures in advance to reduce the incidence of CPSP and improve their life quality.

Development and validation of a nomogram for evaluating the prognosis of immunotherapy plus antiangiogenic therapy in non-small cell lung cancer

Background

With the combination therapy of PD-1/PD-L1 antibody and antiangiogenic drugs used widely in clinic, a novel method to estimate the prognosis of patients is needed. We aimed to develop a nomogram to examine prognosis of anti-PD-1/PD-L1 antibody plus bevacizumab in non-small cell lung cancer (NSCLC) patients.

Methods

We developed a nomogram using the cohort involving 204 NSCLC patients who treated with immunotherapy and anti-angiogenesis therapy. The nomogram was validated under the same conditions in another cohort with 69 patients. Prognostic factors were analyzed by Cox regression analysis. The nomogram was internally validated using bootstrap resampling and then externally validated. Performance was assessed using concordance index, calibration curve and decision curve analysis. Clinical utility was evaluated using receiver operation characteristic curve.

Results

Pleural metastasis (P = 0.001, HR = 2.980, 95%CI 1.521–5.837), ANC (P < 0.001, HR = 5.139, 95%CI 2.081–12.691), ALC (P = 0.010, HR = 0.331, 95%CI 0.142–0.771), B cells (P = 0.005, HR = 0.329, 95%CI 0.151–0.714), Treg cells (P = 0.002, HR = 2.934, 95%CI 1.478–5.826) were independent prognostic factors. The calibration curves showed good consistency and the C-index of nomogram were 0.808, 0.741 in training and external validation cohort, respectively. The area under the curve (AUC) in receiver operation characteristic curves (ROC) are 0.833 (P < 0.001) and 0.908 (P < 0.001), respectively.

Conclusion

We build an accurate and convenient nomogram to predict long-time overall survival (OS) of NSCLC patients treated with PD-1/PD-L1 antibody and antiangiogenic drugs and validated this nomogram. The nomogram might be helpful to clinicians to estimate long-time OS of NSCLC patients treated with PD-1/PD-L1 antibody and antiangiogenic drugs.

Platelet-to-lymphocyte ratio associated with the clinicopathological features and prognostic value of breast cancer: A meta-analysis

OBJECTIVE

The association of platelet-to-lymphocyte ratio (PLR) with the clinicopathological features and prognosis in patients with breast cancer was evaluated.

METHOD

Related studies were searched from PubMed, Embase, Cochrane Library, and Web of Science up to July 1, 2021. Then, basic characteristic and prognostic data were extracted from the included studies. We synthesized and compared primary outcomes such as overall survival. Subgroups analyses in pathology, geographical area, follow-up time, and sample size were conducted. The pooled hazard ratio (HR), odds ratio (OR), and 95% confidence interval (CI) served as measures to assess the relationship of PLR with prognosis and clinicopathological features of breast cancer patients. After literature retrieval and selection, 20 studies with 7484 patients were included in this meta-analysis.

RESULTS

High PLR was significantly related to poor overall survival (HR = 1.88; 95% CI 1.61, 2.19; P < 0.001) in breast cancer patients. Also, high PLR was associated with lymph node metastasis (LNM) (OR = 1.82; 95% CI 1.32, 2.52; P < 0.001), advanced tumor-node-metastasis (TNM) stage (OR = 1.89; 95% CI 1.25, 2.87; P = 0.003), and distant metastasis (OR = 1.76; 95% CI 1.14, 2.72; P = 0.01) in breast cancer. The stability and reliability of results in this meta-analysis were confirmed by sensitivity analysis.

CONCLUSION

Elevated PLR is related to a poor prognosis and a higher risk of LNM, advanced TNM stage, and distant metastasis in breast cancer patients. Therefore, PLR can be identified as a biomarker with potential prognostic value in breast cancer.

New index combining multiple inflammation‐based prognostic scores for predicting the prognosis of gastric cancer patients

Background and Aim

Several inflammation‐based scores have prognostic value for patients diagnosed with various cancers. However, using only a single inflammation‐based prognostic score may be unreliable, as the cut‐off values and relative usefulness among various inflammation‐based prognostic scores vary. We established a new combined index of four inflammation‐based prognostic scores, namely the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, prognostic index, and prognostic nutritional index, and assessed its usefulness to predict the prognosis of gastric cancer.

Methods and Results

We reviewed the data of 635 patients who underwent surgical resection for gastric cancer. We calculated the combined index as the total value of each of the four included inflammation‐based prognostic scores and analyzed the relationship between the combined index and postoperative prognosis of gastric cancer. The new combined index was represented as a value between 0 and 6 in each patient. The Kaplan–Meier survival curves showed that patients whose combined index was 0 had good long‐term outcomes, while the prognosis of patients whose combined index ranged from 4 to 6 was poor.

Conclusion

This new combined index was strongly associated with poor prognosis in patients who underwent surgery for gastric cancer. It is inferred that it can predict patient prognosis after surgical resection for gastric cancer with a stronger correlation and clearer stratification than a single inflammation‐based prognostic score.

The time-series behavior of systemic inflammation-immune status in predicting survival of locally advanced non-small cell lung cancer treated with chemoradiotherapy

Background

Systematic inflammation is believed to play a crucial role in tumorigenesis and metastasis. This study aims at evaluating the prognostic value of time-series behavior of systematic inflammation-immune status before and after definitive chemoradiotherapy (dCRT) in patients with locally advanced non-small cell lung cancer (LA-NSCLC).

Methods

The relationship between systematic inflammation-immune score (SIS, defined as pretreatment peripheral platelet count × neutrophil count/lymphocyte count) and the prognosis was tested in a retrospective study of 386 consecutive LA-NSCLC patients (Group A) with pretreatment SIS and 161 patients (Group B) with SIS before and one month after the dCRT.

Results

SIS of 1400 × 109 was found to be an optimal cutoff point to stratify the patients into high (>1400 × 109) and low (≤1400 × 109) SIS groups. Univariate and multivariate analyses revealed that the SIS, whether before or after dCRT, was an independent predictor for overall survival (OS), progress-free survival (PFS), and distant metastasis-free survival (DMFS). High SIS (>1400 × 109) was shown to predict poor 3-year OS (P=0.006, hazard ratio [HR]=2.427), PFS (P=0.001, HR=2.442) and DMFS (P=0.015, HR=2.119). However, SIS was not related to local regional recurrence-free survival in either Group A (P=0.346) or Group B (P=0.486). Further, the area under the receiver operating characteristic curve of the SIS for OS was higher than the neutrophil count/lymphocyte count ratio, platelet count/lymphocyte count ratio, and other conventional clinic-pathological indices.

Conclusions

The SIS is a stable and more sensitive survival predictor than other inflammation-based factors and conventional clinical indices, which may aid in more accurately stratifying patients for risk assessment and treatment decisions.

Lymphocyte percentage as a valuable predictor of prognosis in lung cancer

Lymphocytes and neutrophils are involved in the immune response against cancer. This study aimed to investigate the relationship between lymphocyte percentage/neutrophil percentage and the clinical characteristics of lung cancer patients, and to explore whether they could act as valuable predictors to ameliorate lung cancer prognosis. A total of 1312 patients were eligible to be recruited. Lymphocyte percentage and neutrophil percentage were classified based on their reference ranges. Survival curves were determined using Kaplan–Meier method, and univariate and multivariate cox regression analyses were performed to identify the significant predictors. Decision curve analysis was used to evaluate the clinical benefit. The results of both training and validation cohorts indicated that lymphocyte percentage exhibited high correlation with clinical characteristics and metastasis of lung cancer patients. Both lymphocyte percentage and neutrophil percentage were closely associated with survival status (all p < 0.0001). Low lymphocyte percentage could act as an indicator of poor prognosis; it offered a higher clinical benefit when combined with the clinical characteristic model. Our findings suggested that pretreatment lymphocyte percentage served as a reliable predictor of lung cancer prognosis, and it was also an accurate response indicator in lung adenocarcinoma and advanced lung cancer. Measurement of lymphocyte percentage improved the clinical utility of patient characteristics in predicting mortality of lung cancer patients.

Development of prognostic predictive model with neutrophil-lymphocyte ratio (NLR) in patients with gastric signet ring carcinoma

The risk factors have not been well-defined for prognosis in gastric signet ring cell carcinoma (GSRC) patients. This study is designed to prognosticate survival in GSRC patients by establishing and verifying a predictive model with neutrophil-lymphocyte ratio (NLR).A total of 147 GSRC patients from Department of Surgical Oncology, Neimenggu Baogang Hospital, Inner Mongolia Medical University were retrospectively reviewed. A predictive model was established using Cox proportional hazards. The performance of the model was evaluated by ROC curves.In present study, we found that overall survival (OS) (P < .001, Fig. 1A) and tumor recurrence rate (P = .036, Fig. 1B) in the NLR ≤ 2.8 group were significantly better than those in the NLR > 2.8 group. These results showed that NLR ≤ 2.8 was significant prognostic factor related with both OS and tumor recurrence in patients with GSRC. After adjusting for competing risk factors, NLR ≤ 2.8 (hazard ratio [HR]: 2.625, 95% confidence interval [CI]: 1.505-5.3166, P = .003), tumor size (HR: 3.024, 95% CI: 1.521-4.186, P = .005), and tumor metastasis (HR: 3.303, 95% CI: 1.25-4.525, P = .012) remained independent predictors of tumor recurrence rate and OS. Our results showed that comparing with the model without NLR (area under ROC curve: 0.798), the model with NLR (area under ROC curve: 0.826) had significant better predictive power than the model without NLR, which further confirmed the value of NLR in predicting prognosis of patients with GSRC.In conclusion, a high NLR value independently predicts poor survival in patients with GSRC after surgery. The NLR may help oncologists evaluate outcomes of patients received surgical resection and chemotherapy in order to choose alternative therapies for patients with high NLR value.

The prognostic values of prognostic nutritional index in extensive-stage small-cell lung cancer

We aimed to assess the prognostic and predictive significance of pretreatment Prognostic Nutritional Index (PNI) in extensive-stage small-cell lung cancer (ES-SCLC) patients treated with first-line chemotherapy. We designed this study to evaluate the prognostic role of PNI in 147 ES-SCLC patients treated with platinum-based combination regimen between 2011 and 2018. Kaplan-Meier survival analyses and Cox proportional hazard models were used to examine the effects of basal PNI on overall survival (OS). The median age of the patients was 61 (range 38-81). The cutoff value for PNI was determined for whole group and patients were dichotomized into high (≥49.17) and low (<49.17). Seventy-eight (53.1%) patients had low PNI score and 69 (46.9%) patients had high PNI score. Patients with the high PNI score had better OS than those with low PNI (13 versus 12 months, respectively, and P = 0.03). The relationship between PNI score and OS was more prominent in patients over 65 years of age (13 versus 10 months, respectively, and P = 0.03). Progression-free survival of patients with complete response to first-line treatment was statistically significantly better than the other patients (8 versus 7 months, respectively, and P = 0.02). Similarly, OS was statistically significantly better than the other patients (15 versus 8 months, respectively, and P = 0.001). The results of our study show that PNI score is useful in evaluating the OS of patients with ES-SCLC. PNI is a cost-effective prognostic marker and should therefore be included in routine clinical practice.

A Novel Risk Factor for Para-Aortic Lymph Node Recurrence After Definite Pelvic Radiotherapy in Stage IIIB Cervical Cancer

Background: Studies determining which patients with International Federation of Gynecology and Obstetrics (FIGO) stage IIIB disease benefit from prophylactic extended-field irradiation (EFRT), which can reduce para-aortic lymph node (PALN) failure rates, are limited. The study was designed to evaluate the value of the controlling nutritional status (CONUT) score as a risk factor for predicting PALN recurrence and identifying potential indications of prophylactic EFRT. Methods: From 2010 to 2015, a retrospective review was conducted among patients with FIGO stage IIIB cervical cancer who were treated with definitive pelvic radiotherapy or concurrent chemoradiotherapy. We analyzed para-aortic lymph node metastasis-free survival (PALNMFS) using Kaplan-Meier curves. Multivariate analyses were performed using Cox regression models. Results: A total of 116 patients with FIGO stage IIIB cervical cancer were included in the study and the median follow-up was 42.2 months (range: 3.5-104.2 months). Multivariate analysis revealed that the CONUT score (HR: 3.141; 95% CI: 2.321-5.436; P < .001) and ≥3 pelvic lymph node metastases (HR: 2.235; 95% CI: 1.428-11.242; P < .001) were independent risk predictors of PALNMFS. Compared with the low CONUT group (score<3), the high CONUT group (score≥3) was associated with a significantly worse 3-year disease-free survival rate (46.9 vs 69.5%, P = .001), a significantly lower 3-year overall survival rate (68.5 vs 79.7%, P = .016) and a significantly lower PALNMFS rate (74.8 vs 96.4%, P < .001). Conclusions: A high CONUT score (score≥3) and ≥3 pelvic metastatic lymph nodes were significant predictors of PALNMFS after pelvic radiation in FIGO stage IIIB cervical cancer patients. Patients with these risk factors might benefit from prophylactic EFRT.

Baseline lymphopenia as prognostic factor in patients with metastatic breast cancer treated with palbociclib

Cyclin-dependent-kinase 4-6 inhibitors (CDK4/6i) have improved the management of hormone receptor (HR)⁺/human epidermal growth factor receptor (HER)2^- metastatic breast cancer (mBC). Currently, there are no valid prognostic factors for response to CDK4/6i. Baseline lymphopenia is reported as a prognostic factor in several types of cancer. The present retrospective study aimed to evaluate the effect of baseline absolute lymphocyte count (ALC) on response to palbociclib. Progression-free survival (PFS) was the primary endpoint. Secondary endpoints were overall survival (OS), best response and safety. A total of 114 patients treated for mBC between 2016 and 2019 were included. Median baseline ALC was 1.4 g/l (range, 0.2-4.3 g/l). A total of 65 (57%) and 49 (43%) patients had baseline ALC values of <1.5 and ≥1.5 g/l, respectively. Patients with baseline lymphopenia exhibited significantly shorter PFS (6 vs. 10 months; P=0.004) and OS (20 vs. 33 months; P=0.02). ALC <1.5 g/l independently predicted worse survival, as indicated by multivariate analysis (P=0.04; hazard ratio, 1.76; 95% confidence interval, 1.02-3.02). Patients with baseline ALC <1.5 g/l had significantly less partial response (14 vs. 22%; P=0.016) and more disease progression (46 vs. 20%; P=0.016) than those with ALC ≥1.5 g/l. ALC is a strong and easy-to-use dosage with prognostic factor for patients with HR⁺/HER2^- mBC treated with palbociclib and endocrine therapy. Lymphopenia may also be a predictive factor of early progression. These data need to be verified in a larger prospective study.

Pretreatment neutrophil-to-lymphocyte ratio as an important prognostic marker in stage III locally advanced non-small cell lung cancer: confirmatory results from the PROCLAIM phase III clinical trial

Background

Neutrophil-to-lymphocyte ratio (NLR) is an important pretreatment marker of systemic inflammation and tumor aggressiveness. Increased levels of this ratio have been associated with reduced survival in several observational studies of lung cancer. However, supporting analyses from large clinical trial data are lacking.

Methods

To validate the prognostic role of NLR, the current study evaluated data from a randomized phase III study (PROCLAIM; clinicaltrial.gov ID: NCT00686959) of patients with stage IIIA/B, unresectable, non-squamous, non-small cell lung cancer (NSCLC), originally comparing combination pemetrexed-cisplatin chemoradiotherapy with etoposide-cisplatin chemoradiotherapy. Adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for survival were estimated using a Cox proportional hazards model. Models were adjusted for age, race, sex, stage, treatment, and body mass index (BMI). Patients were followed for a median of 24 months.

Results

Increased NLR levels at baseline were associated with reduced overall (P_Trend <0.0001) and progression-free survival (P_Trend <0.005). A similar but decreasing linear trend was not observed for lymphocytes count alone.

Conclusions

These findings provide substantiating evidence that NLR, which is routinely available from standard blood testing of patients diagnosed with NSCLC, is an important inflammation-based prognostic marker for survival among patients with locally advanced disease undergoing chemoradiation. Future research will benefit by assessing the prognostic potential of NLR in the context of genetic mutations and molecular markers.

Prognostic nutritional index predicts clinical outcomes in patients with cerebral venous sinus thrombosis

Background

Lower prognostic nutritional index (PNI) is related to the poor prognosis of cardiovascular diseases. However, little is known about PNI and its relationship with the prognosis of cerebral venous sinus thrombosis (CVST).

Methods

CVST patients were retrospectively identified from January 2013 till June 2019. Patients in the acute / subacute phase were selected as subjects. Poor prognosis was defined as a modified Rankin Scale (mRS) of 3–6. Multivariate logistic regression analysis was used to confirm if lower PNI was associated with a poor prognosis.

Results

A total of 297 subjects with follow-up data were enrolled. Thirty-three (11.1%) had a poor outcome. Multivariate logistic regression analysis suggested that PNI was an important predictive factor of poor outcome in acute/subacute CVST (odds ratio, 0.903; 95% CI, 0.833–0.978; P = 0.012). The optimal cut-off value for predicting the poor prognosis of PNI was 44.2. Kaplan-Meier analysis and log-rank test suggested that the lower the PNI value, the higher the mortality rate (P < 0.001). In addition, the nomogram that was set up showed that lower PNI was an index of poor prognosis. The c-index for acute/subacute patients with CVST was 0.872.

Conclusion

Lower PNI is correlated with a higher risk of adverse clinical outcomes in patients with acute/subacute CVST.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-021-02436-w.

The real-world efficacy and safety of anlotinib in advanced non-small cell lung cancer

PURPOSE

Anlotinib is an anti-angiogenetic multi-targeted tyrosine kinase inhibitor. This study aimed to evaluate the efficacy and safety of anlotinib in advanced non-small cell lung cancer (aNSCLC) in the real world.

METHODS

Patients with aNSCLC receiving anlotinib were enrolled in two cohorts (treatment naive and previously treated). The endpoints included progression-free survival (PFS), overall survival (OS) and anlotinib-related adverse events (ar-AEs).

RESULTS

203 patients accrued in the study. In the treatment-naïve cohort (n = 80), the PFS was 7.4 (95% confidence interval [CI] 4.1-10.7) and OS was 10.8 (95% CI 5.8-15.8) months of monotherapy group (immature survival for combination group). In previously treated cohort (n = 123), the PFS was 8.0 months (95% CI 6.1-9.9) in the combination group and 4.3 months (95% CI 2.1-6.6) in the monotherapy group (hazard ratio [HR] 0.49; 95% CI 0.29-0.83; p = 0.007), respectively. The OS was 18.5 months (95% CI 10.5-26.6) in the combination group and 7.8 months (95% CI 7.1-8.4) in the monotherapy group (HR 0.38; 95% CI 0.22-0.66; p = 0.001), respectively. The ar-AEs of grade ≥ 3 in the monotherapy and the combination groups were hypertension (9.0 and 8.7%), fatigue (8.1 and 7.6%), hand-foot syndrome (8.1 and 6.5%), diarrhea (5.4 and 8.7%), proteinuria (5.4 and 5.4%), and mucositis oral (6.3 and 8.7%).

CONCLUSION

In aNSCLC, anlotinib monotherapy has a promising efficacy in the first-line setting. It may be an option for those who are ineligible for chemotherapy; anlotinib combination therapy in a ≥ second-line setting showed manageable toxicities and encouraging efficacy, indicating a good application prospect.

TRIAL REGISTRATION

This study was retrospectively registered with ISRCTN Registry (ID ISRCTN35543977) on January 26th, 2021 and Chinese Clinical Trial Register (ChiCTR2000032265) on April 4th, 2020.

Elevated neutrophil-lymphocyte ratio can be a biomarker for predicting the development of cervical intraepithelial neoplasia

Cervical intraepithelial neoplasia (CIN) is the abnormal growth of cells on the surface of the cervix that could potentially lead to cervical cancer. In the present study, we investigated whether measuring the neutrophil-lymphocyte ratio (NLR) can be useful for predicting the risks of developing cervical lesions.This is a retrospective analysis of 212 women who were enrolled in this study. Among them, 106 patients with histologically confirmed CIN1-3 who were treated with loop electrosurgical excision procedure or cold knife cone in the Department of Gynecology, The Affiliated Hospital of Inner Mongolia Medical University between July 30th 2016 and January 30th 2019.Among the 106 patients in the CIN group, cytology showed minor abnormality which included atypical squamous cells of undetermined significance or low-grade squamous intraepithelial lesion in 42, high-grade squamous intraepithelial lesion in 62, and squamous cell carcinoma in 2 patients. We found that the NLR has no significant difference between the control group and the CIN1 group, while there were significant differences between CIN1 and CIN2, and CIN2 and CIN3 group. The median of the NLR was higher in the HPV16-persistent groups than in the HPV-negative group.In conclusion, a high NLR value independently predicts CIN and the stage of CIN. The NLR may help doctors evaluate outcomes of patients received conization and choose alternative therapies for patients with high NLR value.

Prognostic significance of systemic immune-inflammation index-based nomogram for early stage hepatocellular carcinoma after radiofrequency ablation

BACKGROUND

Radiofrequency ablation (RFA) is the recommended treatment for early stage hepatocellular carcinoma (HCC), and the prognostic value of systemic immune-inflammation index (SII) in early stage HCC is not discussed. Therefore, the purpose of the study is to explore the prognostic value of SII based on lymphocyte, neutrophil, and platelet counts in patients with HCC after RFA.

METHODS

We retrospectively evaluated the prognostic value of the SII in training and validation cohorts, and then established an effective nomogram for HCC after RFA based on SII. The C-index, and area under the time-dependent receiver operating characteristic curve (t-AUC) were used to evaluate the discrimination and calibration value of the nomogram.

RESULTS

An optimal cut-off value for the SII of 324.55×109 stratified the patients with HCC into high- and low-SII groups. Univariate and multivariate analyses revealed that SII was an independent predictor for overall survival (OS) and recurrence-free survival (RFS). Moreover, SII was an independent prognostic factor for early-stage HCC with normal alpha-fetoprotein (AFP) levels. The t-AUC of the SII was higher for OS and RFS than for neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR). A high preoperative SII was associated with multiple tumors, larger tumors, and higher levels of AFP. A well-discriminated and calibrated nomogram was constructed to predict the probability of 1-, 2-, 3-, and 5-year RFS with C-indexes of 0.80, which was significantly higher than that obtained with other prognostic clinical indexes.

CONCLUSIONS

The SII is an independent prognostic factor affecting the survival outcomes of patients with early-stage HCC. The comprehensive nomogram based on SII presented in this study is a promising model for predicting RFS in HCC patients after RFA.

The predictive value of systemic immune inflammation index for postoperative survival of gallbladder carcinoma patients

BACKGROUND

Growing evidence indicates that systemic immune inflammation index (SII) can predict the prognosis of various solid tumors. The objective of this study aimed to investigate the efficacy of SII in predicting the prognosis of gallbladder carcinoma (GBC) patients after radical surgery.

METHODS

A consecutive series of 93 patients with GBC who underwent radical resection were enrolled in the retrospective study. The cutoff value for the SII was calculated using the time-dependent receiver operating characteristic (ROC) curve analysis by overall survival (OS) prediction. The associations between the SII and the clinicopathologic characteristics were analyzed using Pearson's χ² test and Fisher's exact test. Survival curves were calculated using the Kaplan-Meier method. Univariate analysis was performed to evaluate the prognostic relevance of preoperative parameters. The multivariate Cox regression proportional hazard model was used to assess variables significant on univariate analysis.

RESULTS

The Kaplan-Meier survival analysis and the multivariate analysis of patients with GBC who received radical resection showed SII independently predicted OS. The univariate analysis showed that the TNM stage, SII, CA19-9, ALP, prealbumin, NLR, MLR, lymph node metastasis, and histopathological type were all associated with overall survival. In time-dependent ROC analysis, the area of the SII-CA19-9 under the ROC curve (AUC) was higher than that of the preoperative SII or CA19-9 levels for the prediction of OS.

CONCLUSION

Our results demonstrate that high SII was a predictor of poor long-term outcomes among patients with GBC undergoing curative surgery. SII-CA19-9 classification may be more effective in predicting the postoperative prognosis of GBC patients.

Neutrophil-lymphocyte ratio (NLR) was associated with prognosis and immunomodulatory in patients with pancreatic ductal adenocarcinoma (PDAC)

Although the oncological outcomes in patients with pancreatic ductal adenocarcinoma (PDAC) have markedly improved over the past decade, the survival prediction is still challenging. The aim of this study was to investigate the prognostic value of neutrophil–lymphocyte ratio (NLR) and analyze the relationship of between the NLR and immune cells phenotypes in patients with PDAC. Sixty-seven consecutive patients with PDAC were recruited in this study. Life-table estimates of survival time were calculated according to the Kaplan and Meier methodology. The phenotypic T cells subclasses were evaluated by flow cytometry. All the 67 patients in this study were treated with surgical resection and among them, 46 patients received adjuvant chemotherapy. Receiver operating characteristic (ROC) curves analysis was performed to compare prognostic value of NLR with CA199. We found that the Harrell's area under ROC (AUROC) for the NLR to predict overall survival (OS) (0.840; 95% CI, 0.766–0.898) was significantly higher than that of the CA199 levels. After that we stratified all patients into NLR > 2.5 (n = 42) and NLR ≤ 2.5 (n = 25) groups according to the OS of patients with PDAC. Survival analysis showed that patients with NLR ≤ 2.5 had significantly favorable OS and progressive free survival (PFS) compared with patients with NLR > 2.5. The CD3+ and CD8+/CD28+ T cell subsets were significantly increased in patients with NLR ≤ 2.5 (P<0.05), while the CD8+/CD28- and CD4+/CD25+ cell subsets were significantly decreased in patients with NLR ≤ 2.5 (P<0.05). In conclusion, a high NLR value independently predicts poor survival in patients with PDAC after surgical resection. The NLR was closely related with immune cells phenotypes The NLR may help oncologists evaluate outcomes of patients received surgical resection and chemotherapy to choose alternative therapies for patients with high NLR value.

Preoperative Immune Prognostic Index Can Predict the Clinical Outcomes of Patients with Gallbladder Cancer: Single-Center Experience

PURPOSE

The immune prognostic index (IPI) has been used as a prognostic biomarker in various cancers. However, the prognostic value of the IPI in gallbladder cancer remains to be determined.

PATIENTS AND METHODS

This study included 139 patients who were diagnosed with gallbladder cancer after surgical resection from 2003 to 2017. We used a Kaplan-Meier curve analysis to evaluate the overall survival (OS). Cox proportional hazards regression methodology was used to identify significant independent prognostic factors. Prognostic nomograms for predicting OS were established to achieve superior discriminatory abilities. The prognostic nomograms were verified according to the concordance index, calibration curves, and decision curve analyses in the training cohort and validation cohort.

RESULTS

Of all 139 patients, 87 (62.6%) patients accepted R0 resection, 32% and 68% were stratified into the good and poor IPI group, respectively. The median OS was 55.9 (range, 5.93-182.7) months in the good IPI group and 15.47 (range, 0.29-190.37) months in the poor IPI group (P < 0.001). In the multivariate Cox model, the IPI was an independent predictor of OS along with the CA19-9, curative resection, and postoperative chemoradiotherapy. A nomogram based on these factors was efficient in predicting 1-, 3-, and 5-year survival probabilities. The nomogram showed higher sensitivity and specificity than the current cancer TNM staging system in the training cohort and validation cohort.

CONCLUSION

The IPI is an independent prognostic factor in gallbladder cancer. Our IPI-based nomogram can serve as a useful and convenient prognostic tool for gallbladder cancer.

Using the Systemic Immune-Inflammation Index (SII) as a Mid-Treatment Marker for Survival among Patients with Stage-III Locally Advanced Non-Small Cell Lung Cancer (NSCLC)

The Systemic Immune-Inflammation Index (SII) is an important marker of immune function, defined as the product of neutrophil-to-lymphocyte ratio (NLR) and platelet count (P). Higher baseline SII levels have been associated with improved survival in various types of cancers, including lung cancer. Data were obtained from PROCLAIM, a randomized phase III trial comparing two different chemotherapy regimens pemetrexed + cisplatin (PEM) vs. etoposide + cisplatin (ETO), in combination with radiotherapy (RT) for the treatment of stage III non-squamous non-small cell lung cancer (NSCLC). We aimed to determine if SII measured at the mid-treatment window for RT (weeks 3-4) is a significant predictor of survival, and if the effect of PEM vs. ETO differs by quartile (Q) level of SII. Hazard-ratios (HR) for survival were estimated using a proportional hazards model, accounting for the underlying correlated structure of the data. A total of 548 patients were included in our analysis. The median age at baseline was 59 years. Patients were followed for a median of 24 months. Adjusting for age, body mass index, sex, race, and chemotherapy regimen, SII was a significant mid-treatment predictor of both overall (adjusted HR (aHR) = 1.6, p < 0.0001; OS) and progression-free (aHR = 1.3, p = 0.0072; PFS) survival. Among patients with mid-RT SII values above the median (6.8), those receiving PEM (vs. ETO) had superior OS (p = 0.0002) and PFS (p = 0.0002). Our secondary analysis suggests that SII is an informative mid-treatment marker of OS and PFS in locally advanced non-squamous NSCLC.

Clinical significance of prognostic inflammation-based and/or nutritional markers in patients with stage III gastric cancer

BACKGROUND

Although many studies have identified several inflammation-based and/or nutritional markers with prognostic value for patients with various types of cancer, the optimal markers and cut-off values for these markers remain obscure. Therefore, this retrospective study aimed to identify optimal markers and their cutoffs.

METHODS

We compared prognostic values among established preoperative inflammation-based and/or nutritional markers in 225 patients who underwent R0 resection for stage III gastric cancer. Inflammation-based and/or nutritional markers comprised C-reactive protein to albumin ratio (CAR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), prognostic nutritional index (PNI), Glasgow prognostic score (GPS), and prognostic index (PI). Time-dependent receiver operating characteristic curves were analyzed to assess predictive ability and to determine the optimal cut-off values. Prognostic factors predicting overall survival (OS) and cancer specific survival (CSS) were analyzed using Cox proportional hazards models.

RESULTS

Multivariate analyses revealed that CAR and PLR cut-off values of 0.47 and 172, respectively, were independent prognostic factors for overall survival (OS) (HR, 2.257; 95% CI, 1.180-4.319; p = 0.014 and HR, 1.478; 95% CI, 1.025-2.133; p = 0.037, respectively) and cancer-specific survival (CSS) (HR, 2.771; 95% CI, 1.398-5.493; p = 0.004 and HR, 1.552; 95% CI, 1.029-2.341; p = 0.036, respectively). These results were different from those we previously reported in patients with stage II.

CONCLUSIONS

Among inflammation-based and/or nutritional markers, CAR and PLR were independent prognostic factors of OS and CSS in patients with stage III gastric cancer. The optimal markers and their cut-off values should be determined in specific populations.

Perioperative analgesia with parecoxib sodium improves postoperative pain and immune function in patients undergoing hepatectomy for hepatocellular carcinoma

RATIONALE, AIMS, AND OBJECTIVES

Acute postoperative pain can result in immune dysfunction, which can be partly mitigated by efficient pain management. Opioids that have been widely applied to analgesia have been shown to suppress immune function, which has a negative impact on the treatment of patients with cancer. This study investigated the effects of perioperative fentanyl analgesia alone or in combination with parecoxib sodium on postoperative pain, immune function, and prognosis in patients undergoing hepatectomy of hepatocellular carcinoma (HCC).

METHODS

A total of 80 patients scheduled for hepatectomy between October 2013 and August 2014 were included. Patients were randomly divided into two groups (n = 40) and allocated to receive parecoxibsodium 40 mg (group P) or placebo (group C) 30 minutes before induction of anaesthesia, followed by 40 mg every 12 hours for 48 hours after the operation. All patients had access to patient-controlled analgesia with intravenous fentanylpostoperatively. Venous blood samples were collected at the following time points: 30 minutes before induction of anaesthesia (T0), the end of the surgery (T1), 24 hours after surgery (T2), and 72 hours after surgery (T3). The percentages of CD3+, CD4+, CD8+, CD4+/CD8+ T cells, and CD3+CD16+CD56+ (NK) cells at these time points were quantified by flow cytometry (FCM).Visual analogue scale (VAS) scores, total fentanyl consumption, and adverse effects were recorded. The prognostic differences in overall survival (OS) and disease-free survival (DFS) between the two groups was also investigated.

RESULTS

For both groups, the percentages of CD3+, CD4+ T cells, and the ratio of CD4+/CD8+ significantly decreased at T1 and T2 (P < .05). The percentages of CD3+ T cells were significantly lower in group C than that in group P at T2 (P < .05). In group C, the amount of CD3+ T cells was lower at T3 compared with T0 (P < .05). The percentages of NK cells significantly decreased at T1 in both groups (P < .05). The percentages of NK in group P were recovered nearly to baseline (T0) at T2, which was higher than that of group C (P < .05). In group C, the percentages of NK cells have not recovered nearly to baseline at T3 compared with T0 (P < .05). VAS scores at rest and on cough in group P were significantly lower than those in group C at 2, 6, 12, and 24 hours after operation (P < .05), and there were no significant differences in VAS scores between the two groups at 48 hours after surgery (P > .05). There were no significant differences regarding the incidence of adverse effects between the two groups (P > .05). Kaplan-Meier analysis indicated that the DFS time in group P was significantly longer than in group C (19.0 months, 95% confidence interval [CI], 9.8-28.2 vs 14.0 months, 95% CI, 8.1-19.9; P < .05). There was no significant difference in OS time (36.0 months, 95% CI, 13.4-58.9 vs 14.0 months, 95% CI, 10.6-25.4; P > .05) between two groups.

CONCLUSIONS

The present study indicated that perioperative analgesia of parecoxib sodium combined with patient-controlled analgesic fentanyl resulted in better preserved immune function with enhancement of the analgesic efficacy to fentanyl alone of HCC patients undergoing hepatectomy and helped postpone postoperative tumour recurrence.

Neutrophil-Lymphocyte Ratio (NLR) for Predicting Clinical Outcomes in Patients with Coronary Artery Disease and Type 2 Diabetes Mellitus: A Propensity Score Matching Analysis

Background

Cardiovascular diseases (CVD) combined with Type 2 diabetes mellitus (T2DM) frequently occurred. In this study, we aimed at exploring the prognostic significance of blood neutrophil–lymphocyte ratio (NLR) in these types of patients.

Patients and Methods

Between June 30, 2010 and August 30, 2017, 1454 patients with CVD were enrolled in this study. Kaplan and Meier methodology was used for survival analysis. We also used propensity score matching (PSM) to further compare survival in patients with or without T2DM.

Results

Among all patients, we applied ROC curve analysis to stratify all patients into two different groups including NLR >2.5 (n=432) and NLR≤ 2.5 (n=1022) groups. After that, we further performed survival analysis between different groups. We found that patients with NLR ≤2.5 had significantly favorable OS compared with the overall survival in patients with NLR >2.5. We further built the PSM using 242 pairs of patients who have CVD and with or without T2DM. After adjusting for competing risk factors, we performed Cox proportional hazards models to identify the independent prognostic factors in multivariable adjustment. We found that NLR ≤2.5 (HR: 2.576, 95% CI: 1.241–4.583, P =0.001) and extent of coronary artery disease (HR: 2.432, 95% CI: 1.189–4.392, P =0.005) remained independent predictors of OS.

Conclusion

In conclusion, we have established an PSM model and found that a high NLR value was an independent prognostic factor for survival, predicting in patients with both CAD and T2DM. The NLR value would be a valuable biomarker to evaluate the outcomes of patients and give them opportunities for choosing alternative therapies.

Postoperative Elevations of Neutrophil-to-lymphocyte and Platelet-to-lymphocyte Ratios Predict Postoperative Pulmonary Complications in Non-small Cell Lung Cancer Patients: A Retrospective Cohort Study

The neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) are found to increase in patients who develop postoperative complications (PCs). The aim of the present study was to explore the association of the perioperative changes of NLR (ΔNLR) and PLR (ΔPLR) with PCs in non-small cell lung cancer (NSCLC). Clinical data of 509 patients, who were diagnosed with NSCLC and underwent thoracoscopic radical resection between January 1, 2014 and July 31, 2016 at the Department of Thoracic Surgery, West China Hospital, were reviewed. Patients were divided into PC and non-PC groups, and clinical characteristics including ΔNLR and ΔPLR were compared between them. The optimal cut-off values of ΔNLR and ΔPLR were determined by receiver operating characteristics (ROC) curves and patients were assigned to high ΔNLR/ΔPLR and low ΔNLR/ΔPLR groups in terms of the cut-off values. Clinicopathologic characteristics and the incidence of different PCs were compared between the dichotomized groups. Univariate and multivariate logistic regression analyses were performed to identify the independent risk factors for PCs. The results showed that the ΔNLR and ΔPLR in the PC group were signifcantly higher than those in the non-PC group (P<0.001 for both). The optimal cutoff values of ΔNLR and ΔPLR were 6.6 and 49, respectively. Patients with ΔNLR>6.6 or ΔPLR>49 were more likely to experience postoperative pulmonary complications (PPCs) (P<0.001 for both). Multivariate logistic regression analysis demonstrated that smoking [odds ratio (OR): 2.450, 95% confdence interval (95% CI): 1.084-5.535, P=0.031)], tumor size (OR: 1.225, 95% CI: 1.047-1.433, P=0.011), ΔNLR>6.6 (OR: 2.453, 95% CI: 1.224-4.914, P=0.011) and ΔPLR>49 (OR: 2.231, 95% CI: 1.182-4.212, P=0.013) were predictive of PPCs. In conclusion, the ΔNLR and ΔPLR may act as novel predictors for PPCs in NSCLC patients undergoing thoracoscopic radical lung resection, and patients with ΔNLR>6.6 or ΔPLR>49 should be treated more actively to prevent or reduce PPCs.

Postradiotherapy persistent lymphopenia as a poor prognostic factor in patients with cervical cancer receiving radiotherapy: a single-center, retrospective study

BACKGROUND

Radiotherapy (RT) is effective in cervical cancer; radiation-induced lymphopenia correlates with poor survival outcome in several cancer types. We investigated the association of total lymphocyte count (TLC) with survival outcomes in patients with cervical cancer.

METHODS

We retrospectively reviewed 168 patients with cervical cancer initially treated with definitive RT. We obtained clinicopathological data and TLCs before RT and at the end and at 6 months after RT. Patient-, treatment-, and tumor-specific factors were evaluated to determine their predictive values for overall survival. The association of overall and progression-free survivals with lymphopenia at each point was evaluated.

RESULTS

Median follow-up duration was 44 (interquartile range: 25-67) months. Median TLCs before RT and at the end and at 6 months after RT were 1625/mm³, 400/mm³, and 800/mm³ (interquartile range: 1270-1930/mm³, 290-550/mm³, and 600-1067/mm³), respectively. For overall survival, in addition to FIGO stage, body mass index, histology, treatment, and presence of para-aortic lymph node metastasis, lymphopenia at 6 months after RT was a poor prognostic factor in multivariate analysis (P = 0.0026; hazard ratio [HR], 3.06; 95% confidence interval [CI]: 1.48-6.33). For progression-free survival, TLCs before and at 6 months after RT were poor prognostic factors in univariate analysis (P = 0.0318 and 0.0081, respectively); however, the latter was the only independent prognostic factor in multivariate analysis (P = 0.0021; HR, 2.67; 95% CI: 1.43-4.99).

CONCLUSION

Post-RT persistent lymphopenia could be a poor prognostic factor for patients with cervical cancer who receive RT.

Lymphopenia association with accelerated hyperfractionation and its effects on limited-stage small cell lung cancer patients' clinical outcomes

Background

An assessment of trends in lung cancer patient survival is very important to determine the outcomes and to modulate where advancements should be made. This study investigated whether the absolute lymphocyte count just after chemoradiation (after-ALC) and 3 months after chemoradiation initiation (post-ALC) could predict limited-stage small cell lung cancer (LS-SCLC) patients' clinical outcomes.

Methods

We retrospectively reviewed 304 patients who were newly diagnosed with LS-SCLC and received treatment with chemoradiation (CRT). Finally we collected data at the time of pretreatment, after-ALC and post-ALC from 226 patients. Kaplan-Meier survival curves and log-rank statistics were used to assess the prognostic significance of after-ALC and post-ALC for survival rates. Cox proportional hazards models were used to generate hazard ratios (HRs) and 95% confidence intervals (CIs).

Results

Two hundred and twenty-six patients had a documented ALC pretreatment, just after CRT and 3 months after CRT. Relative lymphopenia of pre-treatment ALC was in 47.8% of patients, whereas the lymphopenia (<655 cells/mm³) proportion was increased to 61.1% just after CRT, and the lymphopenia (<1,430 cells/mm³) proportion continued to rise to 70.4% at the time of 3 months after initiating CRT. After-ALC lymphopenia patients showed inferior median OS (18.1 vs. 36.0 months, P<0.001) and similar PFS (9.7 vs. 26.2 months, P<0.001) compared to patients without lymphopenia. Multivariate analysis demonstrated after-ALC <655 cells/mm³ and post-ALC <1,430 cells/mm³ (HR: 1.339; P=0.038) had a 105% and 33% (HR: 2.056; P<0.001) increase in hazards of death respectively. Similarly, after-ALC <655 cells/mm³ and post-ALC <1,430 cells/mm³ had a 160% (HR: 2.606; P=0.002) and 40% (HR: 1.409; P=0.015) increase in hazards of progression respectively. Furthermore, hyperfractionated RT showed more likely to cause lymphopenia in patients than conventional fractionated RT.

Conclusions

Nearly half of LS-SCLC patients treatment with CRT experienced severe lymphopenia and more than half patients exhibited prolonged lymphopenia. Statistical significance that lymphopenia after treatment was associated with decreased survival was obviously observed. Further study is warranted, given that explanation lymphopenia is a mechanism for shorter survival or just a predictor.

Systemic Inflammation-Immune Status Predicts Survival in Stage III-N2 Non-Small Cell Lung Cancer

BACKGROUND

Systematic inflammation-immune status has been thought to play a crucial role in tumorigenesis and progress. This study evaluated the prognostic value of systematic inflammation-immune status in patients with resected non-small cell lung cancer with pathological N2 nodal involvement (pN2-NSCLC).

METHODS

The relation between the preoperative systematic inflammation-immune score (SIS), defined as preoperative peripheral platelet count × neutrophil count/lymphocyte count, and prognosis was tested in a retrospective study of 660 consecutive patients with completed resected pN2-NSCLC and validated by a prospective study of 189 patients enrolled (NCT00880971).

RESULTS

SIS of 650 × 10⁹ was an optimal cutoff point to stratify the patients with pN2-NSCLC into high (>650 × 10⁹) and low (≤650 × 10⁹) SIS groups in the training cohort. Univariate and multivariate analyses revealed that the SIS was an independent predictor for overall survival, disease-free survival, and distant metastasis-free survival. In the validation group, high SIS (>650 × 10⁹) predicted poor 5-year overall survival (hazard ratio [HR], 2.418; P = .006), disease-free survival (HR, 1.542; P = .042), and distant metastasis-free survival (HR, 1.682; P = .024). In addition to the number of positive lymph nodes, the area under the receiver operating characteristic curve of the SIS for outcomes was higher than the neutrophil count-to-lymphocyte count ratio, platelet count-to-lymphocyte count ratio, and other conventional clinicopathologic indices.

CONCLUSIONS

The preoperative SIS is a more sensitive survival predictor than most of the other conventional clinical indices and may aid in more accurately stratifying patients for risk assessment and treatment decision.

Combination of the preoperative albumin to globulin ratio and neutrophil to lymphocyte ratio as a novel prognostic factor in patients with triple negative breast cancer

Background: The pretreatment albumin to globulin ratio (AGR) and neutrophil to lymphocyte ratio (NLR) were the inflammation-associated factors which were related to the disease-free survival in various malignancies. The aim of this study was to evaluate the clinical significance of the pretreatment AGR combined with NLR for patients with triple negative breast cancer (TNBC).

Method: This retrospective study included 286 cases of pathologically diagnosed patients with TNBC. The relationships of AGR and NLR with clinicopathologic characteristics and prognosis were analyzed by Kaplan–Meier and Cox regression methods.

Results: An AGR of 1.63 and a NLR of 2.93 were identified as the optimal cut-off points for distinguishing patients with good versus poor prognosis. The area under the receiver operating characteristic curves of combined with AGR and NLR (CO-AN) was increased compared with AGR and NLR individually. Kaplan–Meier analysis showed that low AGR/high NLR was related to poor survival. The prognosis of patients can be predicted well by the CO-AN. Univariate and multivariate analyses revealed that high AGR levels, low NLR levels, and CO-AN<1 were significantly and independently associated with favorable disease-free survival.

Conclusions: Our study suggested that AGR and NLR levels can be prognostic biomarkers for disease-free survival in patients with TNBC. The CO-AN may have greater predictive value than AGR and NLR in patients with TNBC.

Nomogram prediction of overall survival for patients with non-small-cell lung cancer incorporating pretreatment peripheral blood markers

OBJECTIVES

The objective of this study is to build a novel prognostic nomogram in non-small-cell lung cancer (NSCLC) incorporating pre-treatment peripheral blood markers beyond known pathoclinical predictors.

METHODS

We analysed 7158 patients with NSCLC diagnosed between 1 January 1997 and 31 December 2012 from a single institution with a uniform medical record and routine follow-up information. Besides common clinicopathological factors, we investigated the prognostic value of the neutrophil to lymphocyte ratio, monocytes and haemoglobin level in peripheral blood before treatment. Patients were randomly assigned to training (4772 patients, 66.7%) or validation cohorts (2386 patients, 33.3%). Cox proportional hazards models determined the effects of multiple factors on overall survival (OS). A nomogram was developed to predict median survival and 1-, 3-, 5- and 10-year OS for NSCLC. The performance of the nomogram was assessed by a concordance index and calibration curve.

RESULTS

In the training cohort, the multivariate Cox model identified the neutrophil to lymphocyte ratio, monocytes and haemoglobin level before treatment as significant prognostic factors for OS independent of patient age, gender, smoking history of intensity and cessation, performance status, disease stage, tumour cell type and differentiation grade and therapies. All the significant prognostic variables were incorporated into a nomogram. In the validation cohort, the nomogram showed notable accuracy in predicting OS, with a concordance index of 0.81, and was well calibrated for predictions of OS.

CONCLUSIONS

The proposed nomogram incorporating peripheral blood markers and known prognostic factors could accurately predict individualized survival probability of patients with NSCLC. It could be used in treatment planning and stratification in clinical trials.

Macrophage Origin, Metabolic Reprogramming and IL-1 Signaling: Promises and Pitfalls in Lung Cancer

Macrophages are tissue-resident cells that act as immune sentinels to maintain tissue integrity, preserve self-tolerance and protect against invading pathogens. Lung macrophages within the distal airways face around 8000–9000 L of air every day and for that reason are continuously exposed to a variety of inhaled particles, allergens or airborne microbes. Chronic exposure to irritant particles can prime macrophages to mediate a smoldering inflammatory response creating a mutagenic environment and favoring cancer initiation. Tumor-associated macrophages (TAMs) represent the majority of the tumor stroma and maintain intricate interactions with malignant cells within the tumor microenvironment (TME) largely influencing the outcome of cancer growth and metastasis. A number of macrophage-centered approaches have been investigated as potential cancer therapy and include strategies to limit their infiltration or exploit their antitumor effector functions. Recently, strategies aimed at targeting IL-1β signaling pathway using a blocking antibody have unexpectedly shown great promise on incident lung cancer. Here, we review the current understanding of the bridge between TAM metabolism, IL-1β signaling, and effector functions in lung adenocarcinoma and address the challenges to successfully incorporating these pathways into current anticancer regimens.

Usefulness of the preoperative prognostic nutritional index score as a predictor of the outcomes of lung transplantation: A single-institution experience

BACKGROUND & AIMS

There is increasing evidence that preoperative nutritional status is a predictor of disease severity and mortality after lung transplantation (LTX). This study aimed to evaluate preoperative nutritional assessment as a predictor of LTX outcomes.

METHODS

We included 132 patients who underwent single or double LTX at Severance Hospital, Yonsei University, between October 2010 and April 2016. The Prognostic Nutritional Index (PNI) scores were calculated as follows: 10 × serum albumin value (g/dL) + 0.005 × peripheral lymphocyte count (/mm³). The optimal cut-off PNI score for the prediction of postoperative overall survival was set at 41.15 using receiver operating characteristics analysis. The efficacies of PNI and other clinical factors in predicting LTX outcomes were determined using univariate and multivariate Cox proportional hazard analyses.

RESULTS

Patients with PNI <41.15 (PNI-low group) were older, had higher preoperative C-reactive protein levels, and had lower nutritional status scores than did those in the PNI-high group (PNI ≥ 41.15). Based on Kaplan-Meier analysis, the overall survival rate was significantly better in the PNI-high group (78.3%) than in the PNI-low group (28.6%) (P < 0.001). Age, sex, body mass index, use of preoperative mechanical ventilation, C-reactive protein level, neutrophil-to-lymphocyte ratio, and PNI score were independent prognostic factors. Survival was significantly higher in the PNI-high group (hazard ratio: 0.220; P < 0.001) than in the PNI-low group, and incidence of complications ≥ grade IV was higher in the PNI-low group than in the PNI-high group (P < 0.001). Multivariate regression analysis showed that preoperative PNI score was significantly associated with postoperative survival, even after adjusting for other confounding factors.

CONCLUSIONS

Our findings suggest that PNI is a useful prognostic marker for the identification of high-risk lung transplant recipients. Preoperative nutritional assessment using PNI may provide useful information for reducing postoperative morbidity and mortality.

Semimechanistically Based Modeling of Pembrolizumab Time-Varying Clearance Using 4 Longitudinal Covariates in Patients With Non-Small Cell Lung Cancer

Time-varying clearance (CL) has been recently recognized in U.S. Food and Drug Administration drug labels for oncology monoclonal antibodies. Pembrolizumab population CL at steady state decreased about 20% from the first dose, and individual CL changes varied from 75% decrease to 25% increase, which were correlating with disease conditions. From mechanism of action perspective, this research explored the longitudinal covariate effect on pembrolizumab CL based on data from a phase II/III clinical trial in patients with non-small cell lung cancer. Time courses of sum of the longest tumor dimensions, lymphocyte count, albumin, and lactate dehydrogenase were first characterized separately, and the post hoc parameters of each individual patient were fixed in the subsequent semimechanistically based modeling analysis. Pembrolizumab time-varying CL was assumed to be associated with the patient's sum of the longest tumor dimensions, lymphocyte count, albumin, and lactate dehydrogenase, and tumor-related pembrolizumab CL was assumed to be a fraction of total pembrolizumab CL in the semimechanistically based modeling.

Pretreatment prognostic nutritional index as a prognostic factor in lung cancer: Review and meta-analysis

BACKGROUND

Numerous studies have explored the association between pretreatment prognostic nutritional index (PNI) and prognosis in lung cancer (LC), but the results are still inconclusive. We systematically evaluated the prognostic value of pretreatment PNI in LC patients by conducting a meta-analysis.

METHODS

A comprehensive literature search was performed by retrieving PubMed, EMBASE, and Web of Science, Wan Fang and CNKI databases. We used hazard ratios (HRs) and their 95% confidence intervals (CIs) to assess the associations of PNI with overall survival (OS), disease-free survival/recurrence-free survival (DFS/RFS) and progression-free survival (PFS) in LC patients.

RESULTS

A total of 21 studies were enrolled into this meta-analysis, with 17 about no-small cell lung cancer (NSCLC) and 4 about on small-cell lung cancer (SCLC). The results indicated that NSCLC patients with low PNI had shorter OS (HR: 1.59, 95% CI: 1.28-1.96, P = 0.001), DFS/RFS (HR = 1.74, 95% CI = 1.08-2.80, P = 0.017), and PFS (HR = 1.52, 95% CI = 1.26-1.83, P = 0.002) than patients with high PNI. The robustness of these pooled results were verified by our stratified analysis and sensitivity analysis. Besides, a pooled analysis of 4 studies about SCLC suggested that low PNI was closely associated with worse OS in SCLC patients as well.

CONCLUSION

Low PNI predicts poor survival in LC patients.

A new laboratory-based algorithm to predict microvascular invasion and survival in patients with hepatocellular carcinoma

BACKGROUND

Preoperative serum inflammatory markers have been correlated with survival outcomes after resection of hepatocellular carcinoma (HCC). Whether they can predict microvascular invasion (MVI) in HCC is still unknown. This study aimed to evaluate the association of inflammatory markers with MVI, and develop a simple and inexpensive preoperative prediction model for MVI.

METHODS

We developed a novel index using routine laboratory tests to predict MVI. The index was developed based on a study on patients with HCC, and validated in an internal cohort and another external cohort. The infiltration of CD8⁺ T cells in tumors was measured using immunohistochemistry. The prediction accuracy was evaluated with the area under the receiver operating characteristic curve (AUC).

RESULTS

There were 165 patients in the training cohort, 107 patients in the internal validation cohort and 80 patients in the external validation cohort. On multivariable analysis in the training cohort, alkaline phosphatase (ALP) and lymphocyte count were independent predictors of MVI. Thus, the ALP-to-lymphocyte ratio (ALR) was developed. The AUCs of the ALR for MVI were higher than the other conventional clinical indices. An optimal cutoff point for the ALR of 69.9 stratified HCC patients into the high (≥69.9) and low (<69.9) groups. An ALR ≥69.9 was significantly associated with worse overall and disease-free survival outcomes. The performance of ALR was validated in the internal and in external cohorts. The CD8⁺ T cell counts were significantly higher in HCC in the ALR<69.9 groups.

CONCLUSION

ALR was a simple, accurate and inexpensive alternative to predict MVI and an independent risk factor of prognosis for HCC patients. The dismal survival outcomes in patients with high ALR scores were related to decreased infiltrations of CD8⁺ T cells in tumors.

Neutrophil-lymphocyte ratio predicts recurrence in patients with resected stage 1 non-small cell lung cancer

Background

The aim was to determine the prognostic value of the neutrophil-lymphocyte ratio (NLR) in patients with completely resected stage 1 non-small cell lung cancer (NSCLC).

Methods

The study enrolled 382 NSCLC patients, and an optimal NLR cutoff value was determined by ROC analysis. Patients were divided by preoperative NLR into low (< 1.5, n = 99), intermediate (1.5 ≤ NLR < 3.5, n = 245), and high (NLR ≥ 3.5, n = 38) value groups. Serum diacron-reactive oxygen metabolites (d-ROMs) were assayed in 33 consecutive patients and used as an indicator of oxidative stress.

Results

The mean NLR in patients with high d-ROMs (> 300 U.CARR, n = 16) was 1.72 ± 0.67, which was significantly higher than that in patients with low d-ROMs (1.41 ± 0.39, n = 17; P = 0.018). The 3-, 5- and 10-year survival rates in the three NLR groups were 92, 77, and 59% (low); 82, 70, and 50% (intermediate); and 76, 58, and 32% (high) (P = 0.034). The 1-, 3- and 5-year recurrence-free survival rates in the three groups were 98, 90, and 86% (low), 91, 77, and 74% (intermediate); and 92, 77, and 68% (high) (P = 0.033). Multivariate analysis found that although NLR was not predictive of overall survival, high NLR was an independent risk factor of recurrence (hazard ratio: 2.03, 95% confidence interval: 1.17–3.79, P = 0.011) as were as age, pathological stage, tumor differentiation, and lymph-vascular invasion.

Conclusions

A low preoperative NLR predicted good prognosis, and was associated with low systemic inflammation status in patients with stage 1 NSCLC. It may be helpful when considering intervals of routine follow-up or choice of adjuvant therapy.

Validation of Different Nutritional Assessment Tools in Predicting Prognosis of Patients with Soft Tissue Spindle-Cell Sarcomas

Predicting outcomes in patients with soft tissue sarcoma (STS) is challenging. To improve these predictions, we retrospectively analyzed common nutritional assessment systems, including Glasgow prognostic score (GPS), Geriatric Nutritional Risk Index (GNRI), neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), and controlling nutritional (CONUT) score against outcomes in 103 patients with STS, of whom 15 (14.6%) died within 1 year of diagnosis. GPS, GNRI, NLR, PLR, and CONUT scores significantly differed between patients who died within one year and patients who lived longer. Binomial logistic regression analysis showed that male sex, older age at diagnosis, higher GPS, higher stage, and unresectable STS were risk factors for death within a year of diagnosis. Overall survival was evaluated by Cox proportional hazards models, which correlated higher NLR, higher PLR, larger maximum diameter of tumor, higher stage, and unresectable STS with poor prognosis. We next examined prognostic factors in the 93 patients with resectable STS, and found male sex, higher GPS, and higher stage were correlated with poor prognosis in these patients. Our findings suggest that GPS, NLR, and PLR are simple predictors of outcome in patients with STS. Nutritional therapies might improve their GPS and prognosis.

Prognostic Significance of Lymphocyte Counts in Colon Cancer Patients Treated with FOLFOX Chemotherapy

PURPOSE

There is increasing interest in immune function in combination with chemotherapy for cancer treatment. However, the effects of chemotherapy on the human immune system remain to be determined. The aim of this study was to investigate the prognostic impact of lymphocyte and neutrophil counts in colon cancer patients who were treated with curative surgery and adjuvant chemotherapy.

METHODS

Two hundred thirty-one patients with colon cancers who underwent curative surgery and FOLFOX adjuvant chemotherapy between November 2005 and December 2011 were included. Oncologic outcomes were analyzed with neutrophil count, lymphocyte count, and neutrophil-to-lymphocyte ratio (NLR) before and after chemotherapy.

RESULTS

The 5-year DFS rate was lower in colon cancer patients with low lymphocyte count during chemotherapy (61.9 vs. 76.7%, P = 0.026). Cox multivariate analysis demonstrated that low lymphocyte count during chemotherapy was independently associated with poor disease-free survival (HR 1.829; 95% CI 1.096-3.050; P = 0.021) in colon cancer patients who underwent FOLFOX adjuvant chemotherapy.

CONCLUSION

Lymphocyte count during chemotherapy is a strong predictor of worse disease-free survival in colon cancer patients who have undergone FOLFOX adjuvant chemotherapy.