A prognostic model for advanced stage nonsmall cell lung cancer. Pooled analysis of North Central Cancer Treatment Group trials

C-reactive protein as robust laboratory value associated with prognosis in patients with stage III non-small cell lung cancer (NSCLC) treated with definitive radiochemotherapy

To evaluate the prognostic value of biomarkers from peripheral blood obtained as routine laboratory assessment for overall survival in a cohort of stage III non-small cell lung cancer (NSCLC) patients treated with definitive radiochemotherapy at a high-volume cancer center. Seven blood biomarkers from 160 patients treated with definitive radiochemotherapy for stage III NSCLC were analyzed throughout the course treatment. Parameters were preselected using univariable and multivariable proportional hazards analysis and were assessed for internal validity using leave-one-out cross validation. Cross validated classifiers including biomarkers in addition to important clinical parameters were compared with classifiers containing the clinical parameters alone. An increased C-reactive protein (CRP) value in the final week of radiotherapy was found as a prognostic factor for overall survival, both as a continuous (HR 1.099 (1.038-1.164), p < 0.0012) as well as categorical variable splitting data at the median value of 1.2 mg/dl (HR 2.214 (1.388-3.531), p < 0.0008). In the multivariable analysis, the CRP value-maintained significance with an HR of 1.105 (1.040-1.173) and p-value of 0.0012. The cross validated classifier using CRP at the end of radiotherapy in addition to clinical parameters separated equally sized high and low risk groups more distinctly than a classifier containing the clinical parameters alone (HR = 2.786 (95% CI 1.686-4.605) vs. HR = 2.287 (95% CI 1.407-3.718)). Thus, the CRP value at the end of radiation therapy has successfully passed the crucial cross-validation test. The presented data on CRP levels suggests that inflammatory markers may become increasingly important during definitive radiochemotherapy, particularly with the growing utilization of immunotherapy as a consolidation therapy for stage III NSCLC.

Detection method has independent prognostic significance in the PLCO lung screening trial

Prognostic models in cancer use patient demographic and tumor characteristics to predict survival and dynamic disease prognosis. Past work in breast cancer has shown that cancer detection method, screen-detected or symptom-detected, has prognostic significance. We investigate this phenomenon in the lung component of the Prostate, Lung, Colorectal, and Ovarian (PLCO) screening trial. Patients were randomized to intervention, receiving four annual chest x-rays (CXRs), or to control, receiving usual care. Patients were followed for a total of approximately 13 years. In PLCO, lung cancer detection method has independent prognostic value exceeding that of variables commonly used in lung cancer prognostic models, including sex, histology, and age. Results are robust to cohort selection and type of predictive model. These results imply that detection method should be considered when developing prognostic models in lung cancer studies, and cancer registries should routinely collect cancer detection method.

Prognostic value of Gustave Roussy immune score in operable pancreatic adenocarcinoma

Background

The Gustave Roussy immune score (GRIm score) is a laboratory index developed to predict survival in nonsmall cell lung cancer patients undergoing immunotherapy and has shown that the pretreatment value is an independent prognostic factor for survival. In this study, we aimed to determine prognostic significance of GRIm score for pancreatic adenocarcinoma that have not been determined in the literature for pancreatic cancer before. The reason for choosing this scoring is to show that the immune scoring system works as a prognostic marker in pancreatic cancer known as immune-desert tumor via immune properties of microenvironment.

Methods

Medical records of patients with histologically confirmed pancreatic ductal adenocarcinoma, who were treated and followed up between December 2007 and July 2019 at our clinic, were reviewed retrospectively. GRIm scores of each patient were calculated at the time of diagnosis. Survival analysis were performed according to risk groups.

Results

A total of 138 patients were included in the study. While 111 (80.4%) patients were in the low-risk group; 27 (19.6%) were in high-risk group according to GRIm score. Median OS was 36.9 months (95% Confidence interval (CI): 25.42-48.56) in lower GRIm scores, and it was 11.1 months (95% CI: 6.83-15.44) in higher GRIm scores (P = 0.002). One-two-three-year OS rates were 85% versus 47%, 64% versus 39%, 53% versus 27% for low versus high GRIm scores, respectively. The multivariate analysis revealed that high GRIm score was an independent poor prognostic factor.

Conclusion

GRIm can be used as a noninvasive, easily applicable, practical prognostic factor in pancreatic cancer patients.

The Effect of Body Mass Index on Survival in Lung Cancer

The prognostic significance of body mass index in lung cancer and the direction of this relationship are not yet clear. This study aimed to evaluate the relationship between BMI and overall survival time of advanced-stage lung cancer patients treated in a center in Turkey, a developing country. In this study, the data of 225 patients diagnosed with stage III or stage IV lung cancer between 2016 and 2020 were analyzed. The effects of BMI and other variables on survival were examined by Cox regression analysis for NSCLC and SCLC. For NSCLC and SCLC, being underweight compared to the normal group, being diagnosed at a more advanced stage, and having a worse performance score were associated with a significantly higher risk of death. Other variables significantly associated with survival were gender, type of radiotherapy for NSCLC, age group, and family history for SCLC. This study showed that being underweight relative to the normal group was associated with worse survival for NSCLC and SCLC but did not support the obesity paradox. Studies that are representative of all BMI categories and free of bias are needed to understand the BMI-lung cancer survival relationship clearly.

Prognostic significance of thrombocytosis in lung cancer: a systematic review and meta-analysis

A potential relationship between poor prognosis and thrombocytosis has been suggested by previous studies in lung cancer, but the conclusions continued to be controversial. Here, we performed a meta-analysis to explore the prognostic impact of thrombocytosis in lung cancer. The Cochrane Library, EMBASE and PubMed databases were comprehensively and systematically retrieved from establishment to May 5, 2020. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were applied to evaluate overall effects. Heterogeneity was assessed using I² statistics and Cochran's Q test. Sensitivity and subgroup analyses were performed to analyze the sources of heterogeneity. Publication bias was examined using the Egger's test and pooled HR was regulated using the trim-and-fill approach when publication bias was observed. A total of 37 studies including 14,833 patients were enrolled in the meta-analysis. Thrombocytosis was significantly correlated to poor overall survival (HR 1.033; 95% CI 1.017-1.050), disease-free survival (HR 1.568; 95% CI 1.276-1.928), and progression-free survival (HR 1.653; 95% CI 1.069-2.556). Although publication bias was identified, rectification for this bias using the trim-and-fill approach did not change the combined HR substantially. In conclusion, this meta-analysis result suggested that thrombocytosis is a predictor of poor prognosis in lung cancer.

Body Fat Composition Enhances the Predictive Ability of Changes in White Blood Cell Levels Associated with the Risk of Chronic Disease Development

The study aimed to revalidate the influence of WBCs on chronic disease risk factors and to verify which markers are independently involved in WBC level changes in a Korean population. A total of 80 Korean subjects were divided into three groups, according to the WBC count: mild decrease in WBC, normal WBC, and mild increase in WBC. Fasting blood samples for analyzing biochemical parameters and inflammatory markers were obtained from the subjects, and their body fat composition was evaluated by dual energy x-ray absorptiometry and computed tomography. The WBC levels were related to levels of adiponectin, triglyceride, and insulin, which are associated with the risk of chronic diseases. In the mild increase in WBC group, high-sensitivity C-reactive protein (hs-CRP) and TNF-α levels increased, and s.c. fat area at the first lumbar vertebrae and fourth lumbar vertebrae decreased. The WBC count positively correlated with hs-CRP and TNF-α levels and most of the body fat composition data, evaluated by dual energy x-ray absorptiometry and computed tomography. Notably, hs-CRP and TNF-α levels, fat mass, and visceral-to-s.c. fat area ratio at the first lumbar vertebrae were revealed as independent predictors of WBC level change. Finally, the receiver operating characteristic curve analysis showed that the additional use of body fat composition data with the conventional inflammatory markers reliably enhanced the predictive capacity of WBC level changes. Thus, we suggest that by controlling inflammatory markers and body fat composition, WBC levels can be kept within a range that is safe from the risk of chronic diseases.

Correlation of peripheral blood biomarkers with clinical outcomes in NSCLC patients with high PD-L1 expression treated with pembrolizumab

Background

Immune checkpoint inhibitors (ICIs) are currently the standard therapy in advanced non-small cell lung cancer (NSCLC); however, there is no well-established prognostic biomarker. We investigated the relationship between survival outcomes and three peripheral blood biomarkers, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and monocyte-to-lymphocyte ratio (MLR), as well as a new score termed the risk blood biomarker (RBB), calculated from the combination of the neutrophil-monocyte-to-lymphocyte ratio (NMLR) and white blood cell count (WBC).

Methods

This study included patients with stage IV or recurrent NSCLC confirmed with programmed death ligand 1 (PD-L1) expression ≥50% who received pembrolizumab monotherapy as first-line treatment at the Virgen del Rocío University Hospital in Seville, Spain. To establish the relationship between baseline peripheral blood biomarkers and survival outcomes, progression free survival (PFS) and overall survival (OS), we used the Kaplan-Meier method and multivariable Cox regression models.

Results

A total of 51 patients were included in this study. In multivariate analysis, baseline NLR and PLR showed a strong association with PFS [NLR hazard ratio (HR): 0.19, 95% confidence interval (CI): 0.09–0.44, P<0.001; PLR HR: 0.46, 95% CI: 0.23–0.92, P=0.03] and OS (NLR HR: 0.07, 95% CI: 0.02–0.19, P<0.001; PLR HR: 0.29, 95% CI: 0.13–0.67, P=0.004), and the MLR was associated with OS (MLR HR: 0.34, 95% CI: 0.15–0.76, P=0.01). According to the RBB score, groups with lower scores were associated with superior PFS (group 0: HR: 0.16, 95% CI: 0.06–0.41, P<0.001 and group 1: HR: 0.29, 95% CI: 0.12–0.73, P=0.01) and OS (group 0: HR: 0.04, 95% CI: 0.01–0.17, P<0.001 and group 1: HR: 0.15, 95% CI: 0.05–0.42, P<0.001).

Conclusions

Low baseline NLR, MLR and PLR are significantly associated with better PFS, and low baseline NLR and PLR are associated with better OS. Additionally, we identified three subgroups of patients using the RBB score, and low scores were associated with improved survival outcomes and response to therapy.

Statistical Models in Clinical Studies

Although statistical models serve as the foundation of data analysis in clinical studies, their interpretation requires sufficient understanding of the underlying statistical framework. Statistical modeling is inherently a difficult task because of the general lack of information of the nature of observable data. In this article, we aim to provide some guidance when using regression models to aid clinical researchers to better interpret results from their statistical models and to encourage investigators to collaborate with a statistician to ensure that their studies are designed and analyzed appropriately.

Baseline anemia and anemia grade are independent prognostic factors for stage IV non-small cell lung cancer

The current study aimed to investigate baseline anemia in patients with stage IV non-small cell lung cancer (NSCLC) and its relationship with clinicopathological features and prognosis. The clinical data of 4,874 patients with stage IV NSCLC were analyzed. The incidence of baseline anemia was observed. The relationship between baseline anemia and clinicopathological features was analyzed. Kaplan-Meier method and multivariate COX regression model were used to analyze the relationship of baseline anemia and prognosis of patients with NSCLC. Anemia classification was based on the criteria established by the National Cancer Institute (NCI). The mean hemoglobin (Hb) was 123.32±20.31 g/l in patients with stage IV NSCLC. The prevalence of baseline anemia was 32.09%, among which 19.08, 10.79, 1.91 and 0.31% had mild, moderate, severe, and life-threatening anemia, respectively. The prevalence of baseline anemia was higher in patients who were >60 years old, male, had smoking history, exhibited squamous cell carcinoma and bone metastasis, and the difference was statistically significant. Univariate analysis indicated that patients without anemia had longer overall survival (OS) compared with patients with baseline anemia (median OS: 28.0 months vs. 17.4 months, P<0.001). As the grade of anemia rises, it was indicated that OS became shorter. Patients with anemia grade 0 had the longest OS (median OS: 28.0 months), followed by patients with anemia grades 1 and 2 (median OS: 17.5 months). The patients with anemia grades 3 and 4 had the shortest OS (median OS: 8.6 months; P<0.001). Multivariate analysis demonstrated that baseline anemia and anemia grade were independent prognostic factors in patients with stage IV NSCLC. In conclusion, baseline anemia and anemia grade are independent prognostic factors in patients with stage IV NSCLC.

Paraneoplastic leukemoid reaction: Case report and review of the literature

OBJECTIVES

We recently encountered a patient with unexplained hyperleukocytosis (105.4 K/μL at presentation), subsequently found to have colon cancer with a marked tumor-associated neutrophilic infiltrate; the leukocytosis abruptly improved after tumor removal. Paraneoplastic leukemoid reaction (PLR) is a rare entity, occurring due to tumor cytokine secretion (typically granulocyte-colony stimulating factor [G-CSF]). We describe a case and aggregate results of previously published cases.

METHODS

We reviewed the English-language literature for all prior reports of PLR, recording age, gender, histologic diagnosis, WBC count, G-CSF level, and overall survival. We analyzed clinicopathologic variables' impact on survival.

RESULTS

We identified 179 cases (mean age 64; 72 % M). Adeno-, squamous cell, sarcomatoid, and undifferentiated carcinomas accounted for >70 %. Esophagus, gallbladder, lung, liver, and pancreas were the most common primaries. At time of publication 81 % of patients had died, with mean overall survival of 4 months. There was no correlation between WBC count and G-CSF level. On univariate analysis, WBC count was the only variable associated with survival (P = 0.03). Patients with WBC counts >100 K/μL were twice as likely to die as those with counts from 11 K to 40 K/μL.

CONCLUSIONS

PLR, typically carcinoma-associated, is characterized by dismal prognosis. The WBC count is inversely related to survival. Knowledge of this phenomenon militates against protracted, expensive work ups. In malignant neoplasms with prominent neutrophilic stroma, the pathologist should correlate with the WBC count and, if markedly elevated (>40 K/μL), raise consideration for PLR.

Endothelium-Derived Extracellular Vesicles Associate with Poor Prognosis in Metastatic Colorectal Cancer

Elevated, tumor-derived extracellular vesicle (tdEV) and circulating tumor cell (CTC) loads in metastatic cancer are associated with poor clinical outcome. Herein, we investigate whether endothelium-derived extracellular vesicles (edEVs) can be detected in the blood of metastatic colorectal cancer (mCRC) patients, and whether those vesicles associate with prognosis. The open-source ACCEPT (Automated CTC Classification, Enumeration, and Phenotyping) software was used to enumerate edEVs, tdEVs, and other objects from digitally stored CellSearch images acquired after CTC and circulating endothelial cell (CEC) enrichment from the blood of 395 mCRC patients before the initiation of a new therapy. Patients had participated in the prospective phase III CAIRO2 study. The presence of edEVs was found 5- to 10-fold higher than CECs. The hazard ratio (HR) (95% CI) of progression-free survival (PFS) for increased CTCs (≥3 in 7.5 mL), tdEVs (≥40 in 7.5 mL), and edEVs (≥287 in 4.0 mL.) was 1.4 (1.1-1.9), 2.0 (1.5-2.6), and 1.7 (1.2-2.5), respectively. The HR of Overall Survival (OS) for increased CTCs, tdEVs and edEVs was 2.2 (1.7-3.0), 2.7 (2.0-3.5), and 2.1 (1.5-2.8), respectively. There was no cut-off value for CECs, leading to a dichotomization of patients with a significant HR. Only tdEVs remained a significant predictor of OS in the final multivariable model.

Clinically relevant prognostic and predictive markers for immune-checkpoint-inhibitor (ICI) therapy in non-small cell lung cancer (NSCLC)

BACKGROUND

Immune checkpoint inhibitors (ICI) either alone or in combination with chemotherapy have expanded our choice of agents for the palliative treatment of non-small cell lung cancer (NSCLC) patients. Unfortunately, not all patients will experience favorable response to treatment with ICI and may even suffer from severe side effects. Therefore, prognostic and predictive markers, beyond programmed death ligand 1 (PD-L1) expression status, are of utmost importance for decision making in the palliative treatment. This review focuses on clinical, laboratory and genetic markers, most of them easily to obtain in the daily clinical practice.

RESULTS

Recently, a number of prognostic and predictive factors in association to palliative ICI therapy have been described in NSCLC. Besides biometric parameters and clinical characteristics of the tumor, there are useful markers from routine blood sampling as well as innovative soluble genetic markers which can be determined before and during ICI treatment. Additionally, the level of evidence is noted.

CONCLUSIONS

These factors can be helpful to predict patients' outcome and tumor response to ICI. They should be implemented prospectively in ICI based clinical trials to develop reliable algorithms for palliative NSCLC treatment.

Factors associated with overall survival in a population-based cohort of non- squamous NSCLC patients from northern New Zealand: A comparative analysis by EGFR mutation status

BACKGROUND

Previous studies have reported inconsistent results regarding the effect of epidermal growth factor receptor (EGFR) mutations on overall survival in patients with non-squamous non-small-cell lung cancer (NSCLC). This study assesses the effect of EGFR mutation on overall survival, and how the effects of other survival predictors differ by EGFR mutation status.

METHODS

The study used a population- based cohort of 1534 non-squamous NSCLC patients diagnosed in northern New Zealand between 1st February 2010 and 31st July 2017. Cox regression survival analyses were used to explore the associations between clinicopathological factors and overall survival by EGFR mutation status. The factors included were age at diagnosis, sex, ethnicity, smoking status, performance status, metastasis status and tumour site.

RESULTS

In this cohort, 20% had anEGFR mutation. The median overall survival times were 0.8 years and 2.79 years in EGFR-mutation-negative and -positive groups, respectively (p < 0.0001). Metastasis at diagnosis showed large effects on overall survival in both EGFR-mutation- negative (hazard ratio (HR) = 3.6) and mutation-positive (HR = 3.3) groups. In subgroup analyses by mutation status and metastasis, females had lower survival only if they were mutation-positive; Māori had lower survival (than European New Zealanders) only if the disease was metastatic, and tumour site had significant effects only in patients without metastasis. Age, performance status and smoking status showed consistent effects in all subgroups.

CONCLUSION

EGFR mutation status and metastasis are the main predictors for overall survival in non-squamous NSCLC patients. The effects of sex, ethnicity and tumour site vary depending on EGFR mutation and metastasis status.

Sarcopenia and Visceral Adiposity Are Not Independent Prognostic Markers for Extensive Disease of Small-Cell Lung Cancer: A Single-Centered Retrospective Cohort Study

Background

Sarcopenia and visceral adiposity have been suggested to affect prognosis and treatment efficacy in various types of cancers. The aim of our study was to evaluate whether pretreatment sarcopenia and visceral adiposity are associated with prognosis in patients with extensive-disease small-cell lung cancer (ED-SCLC).

Methods

Between September 2007 and March 2018, 128 ED-SCLC patients received first-line and platinum-based chemotherapy at our hospital. Based on pretreatment body mass index (BMI), psoas muscle index (PMI), intramuscular adipose tissue content (IMAC) and visceral-to-subcutaneous fat ratio (VSR) at lumbar vertebra L3 level, we divided these patients into two groups, and then compared overall survival (OS) and progression-free survival (PFS). Adjusted by age, serum albumin, lactate dehydrogenase (LDH), clinical stage and performance status, we detected independent prognostic factors by multivariate Cox proportional hazard analyses.

Results

We did not find any significant differences in OS and PFS between two groups divided by BMI, PMI, IMAC and VSR. According to multivariate analyses, none of BMI, PMI, IMAC and VSR was an independent prognostic factor of OS and PFS.

Conclusions

Neither pretreatment sarcopenia nor visceral adiposity is a prognostic marker of patients with ED-SCLC treated with standard regimen of platinum-based chemotherapy.

Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung Cancer

PURPOSE

The prediction of clinical outcomes for patients with cancer is central to precision medicine and the design of clinical trials. We developed and validated machine-learning models for three important clinical end points in patients with advanced non-small-cell lung cancer (NSCLC)-objective response (OR), progression-free survival (PFS), and overall survival (OS)-using routinely collected patient and disease variables.

METHODS

We aggregated patient-level data from 17 randomized clinical trials recently submitted to the US Food and Drug Administration evaluating molecularly targeted therapy and immunotherapy in patients with advanced NSCLC. To our knowledge, this is one of the largest studies of NSCLC to consider biomarker and inhibitor therapy as candidate predictive variables. We developed a stochastic tumor growth model to predict tumor response and explored the performance of a range of machine-learning algorithms and survival models. Models were evaluated on out-of-sample data using the standard area under the receiver operating characteristic curve and concordance index (C-index) performance metrics.

RESULTS

Our models achieved promising out-of-sample predictive performances of 0.79 area under the receiver operating characteristic curve (95% CI, 0.77 to 0.81), 0.67 C-index (95% CI, 0.66 to 0.69), and 0.73 C-index (95% CI, 0.72 to 0.74) for OR, PFS, and OS, respectively. The calibration plots for PFS and OS suggested good agreement between actual and predicted survival probabilities. In addition, the Kaplan-Meier survival curves showed that the difference in survival between the low- and high-risk groups was significant (log-rank test P < .001) for both PFS and OS.

CONCLUSION

Biomarker status was the strongest predictor of OR, PFS, and OS in patients with advanced NSCLC treated with immune checkpoint inhibitors and targeted therapies. However, single biomarkers have limited predictive value, especially for programmed death-ligand 1 immunotherapy. To advance beyond the results achieved in this study, more comprehensive data on composite multiomic signatures is required.

Prognostic value of pretreatment platelet counts in lung cancer: a systematic review and meta-analysis

Background

The prognostic value of elevated pretreatment platelet counts remains controversial in lung cancer patients. We performed the present meta-analysis to determine its precise role in these patients.

Methods

We employed a multiple search strategy in the PubMed, EMBASE and Cochrane Library databases to identify eligible studies. Disease-free survival (DFS)/progression-free survival (PFS)/time to progression (TTP) and overall survival (OS) were used as outcomes with hazard ratios (HRs) and 95% confidence intervals (CIs). Heterogeneity among the studies and publication bias were also evaluated.

Results

A total of 40 studies including 16,696 lung cancer patients were eligible for the analysis. Overall, the pooled analysis showed that compared with normal platelet counts, elevated pretreatment platelet counts were associated with poorer OS (HR = 1.54, 95% CI: 1.37–1.72, P < 0.001) and poorer DFS/PFS/TTP (HR = 1.62, 95% CI: 1.33–1.98, P < 0.001) in patients with lung cancer. In subgroup analyses, elevated pretreatment platelet counts were also associated with poorer OS and DFS/PFS/TTP in most subgroups. There was no evidence of publication bias.

Conclusions

This meta-analysis revealed that elevated pretreatment platelet counts were an independent predictor of OS and DFS/PFS/TTP in lung cancer patients. Large-scale prospective studies and a validation study are warranted.

Low Body Mass Index Is an Independent Prognostic Factor in Patients With Non-Small Cell Lung Cancer Treated With Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitor

Background

Sarcopenia and obesity have been suspected as factors associated with efficacy of treatment and prognosis in various malignancies. This study aimed to investigate the association of pretreatment sarcopenia and visceral obesity with efficacy and prognosis of first- and second-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) for patients with non-small cell lung cancer (NSCLC) and positive EGFR mutation.

Methods

We retrospectively collected 167 NSCLC patients with mutant EGFR who had started EGFR-TKI monotherapy between October 2007 and August 2018 at our hospital. We classified 167 patients into two groups, according to the definition of underweight based on the World Health Organization (WHO) body mass index (BMI) classification and the Japanese sex-specific cut-off values of the following computed tomography (CT) images-assessed markers of pretreatment sarcopenia or visceral obesity, such as psoas muscle index (PMI), intramuscular adipose tissue content (IMAC) and visceral-to-subcutaneous fat ratio (VSR) at lumbar vertebra L3 level. We compared overall survival (OS) and progression-free survival (PFS) of two groups by Kaplan-Meier curves and log-rank tests. Using multivariate Cox proportional hazard analyses adjusted by age, neutrophil-to-lymphocyte ratio, performance status, EGFR mutation types and EGFR-TKI lines, and extra-pulmonary metastases or three or more than 3 metastatic sites, we searched independent prognostic factors of OS and PFS of EGFR-TKI therapy.

Results

The OS (median 26.0 vs. 32.3 months, P = 0.02) and PFS (9.1 vs. 14.8 months, P = 0.03) of patients with BMI < 18.5 were significantly shorter than those of patients with BMI ≥ 18.5. However, there was no significant difference in OS and PFS according to PMI, IMAC and VSR. The multivariate analyses detected only BMI < 18.5 as an unfavorable prognostic factor of shorter OS (hazard ratio (HR) 1.70, 95% confidence interval (CI) 1.03 - 2.81, P = 0.04) and PFS (HR 1.72, 95% CI 1.11 - 2.67, P = 0.02).

Conclusions

Pretreatment underweight was a significant prognostic factor of poor PFS and OS of EGFR-TKI therapy. However, neither pretreatment sarcopenia nor visceral obesity was associated with prognosis of EGFR-TKI. Underweight may be a surrogate for advanced disease burden.

Body Mass Index (BMI), BMI Change, and Overall Survival in Patients With SCLC and NSCLC: A Pooled Analysis of the International Lung Cancer Consortium

INTRODUCTION

The relationships between morbid obesity, changes in body mass index (BMI) before cancer diagnosis, and lung cancer outcomes by histology (SCLC and NSCLC) have not been well studied.

METHODS

Individual level data analysis was performed on 25,430 patients with NSCLC and 2787 patients with SCLC from 16 studies of the International Lung Cancer Consortium evaluating the association between various BMI variables and lung cancer overall survival, reported as adjusted hazard ratios (aHRs) from Cox proportional hazards models and adjusted penalized smoothing spline plots.

RESULTS

Overall survival of NSCLC had putative U-shaped hazard ratio relationships with BMI based on spline plots: being underweight (BMI < 18.5 kg/m2; aHR = 1.56; 95% confidence interval [CI]:1.43-1.70) or morbidly overweight (BMI > 40 kg/m2; aHR = 1.09; 95% CI: 0.95-1.26) at the time of diagnosis was associated with worse stage-specific prognosis, whereas being overweight (25 kg/m2 ≤ BMI < 30 kg/m2; aHR = 0.89; 95% CI: 0.85-0.95) or obese (30 kg/m2 ≤ BMI ≤ 40 kg/m2; aHR = 0.86; 95% CI: 0.82-0.91) was associated with improved survival. Although not significant, a similar pattern was seen with SCLC. Compared with an increased or stable BMI from the period between young adulthood until date of diagnosis, a decreased BMI was associated with worse outcomes in NSCLC (aHR = 1.24; 95% CI: 1.2-1.3) and SCLC patients (aHR=1.26 (95% CI: 1.0-1.6). Decreased BMI was consistently associated with worse outcome, across clinicodemographic subsets.

CONCLUSIONS

Both being underweight or morbidly obese at time of diagnosis is associated with lower stage-specific survival in independent assessments of NSCLC and SCLC patients. In addition, a decrease in BMI at lung cancer diagnosis relative to early adulthood is a consistent marker of poor survival.

Preoperative anemia as a prognostic factor in patients with lung cancer: a systematic review and meta-analysis of epidemiological studies

The evidence of current epidemiological studies investigating the relationship between preoperative anemia and progression of lung cancer (LC) patients remains controversial. The PubMed, EMBASE, and Web of Science databases were comprehensively searched by two independent authors to identify related epidemiological studies from inception through January 31, 2019. Similarly, two researchers separately extracted data and any differences were resolved by discussion. Summarized hazard ratios (HRs) and 95% confidence intervals (CIs) were summarized with inverse variance weighted random effects meta-analysis. Heterogeneity among studies was assessed with the I² statistic. Twenty-two studies were included in this meta-analysis. As compared with LC patients without anemia, those with pre-operative anemia were at a 1.6-fold greater risk of death (summarized HR = 1.58; 95% CI = 1.44-1.75), with moderate heterogeneity (I² = 53.1%). Funnel plot and statistical analyses showed no evidence of publication bias. Associations between pre-operative anemia and OS were broadly consistent across numerous subgroups analyses stratified by the study design, geographic location, number of cases, tumor, node, and metastasis (TNM) stage, histology, quality, and adjustment for potential confounders (age, sex, body mass index, TNM stage, histology, performance status, surgery, blood transfusion, and systemic inflammatory response markers). Similar patterns were observed in the sensitivity analyses. The results of meta-regression analysis suggested no evidence of significant heterogeneity between subgroups. In conclusion, pre-operative anemia was associated with poorer overall survival among LC patients.

A Novel Paradigm Between Leukocytosis, G-CSF Secretion, Neutrophil-to-Lymphocyte Ratio, Myeloid-Derived Suppressor Cells, and Prognosis in Non-small Cell Lung Cancer

Leukocytosis is a common feature of malignancies. While controversial, there appears to be an association between the degree of tumor-related leukocytosis and prognosis. In this paper, we provide evidence supporting an untapped clinical paradigm linking G-CSF secretion to the induction of leukocytosis and expansion of myeloid-derived suppressor cells, providing an explanation for the association between leukocytosis, elevated neutrophil-to-lymphocyte ratios and prognosis in non-small cell lung cancer. Clinically validating this mechanism may identify MDSCs and G-CSF as dynamic markers of early disease progression and therapeutic response, and shed light onto novel therapeutic avenues for the treatment of patients with non-small cell lung cancer.

Clinical prognostic model for older patients with advanced non-small cell lung cancer

BACKGROUND

Older patients with non-small cell lung cancer (NSCLC) are often not prescribed standard therapy. It is important to know which older patients would be candidates for aggressive therapy based on their prognosis, and to develop a model that can help determine prognosis.

METHODS

Data on older patients (≥70 years) enrolled on 38 NCI cooperative group trials of advanced NSCLC from 1991 to 2011 were analyzed. Multivariable Cox PH model was built with a stepwise selection. We derived a prognostic score using the estimated Cox PH regression coefficient. We then calculated the area under receiver operating characteristic (ROC) curve of survival in the testing set.

RESULTS

The final analysis included 1467 patients, who were randomly divided into a training (n = 963) and a testing set (n = 504). The prognostic risk score was calculated as: 3 (if male) + 3 (if PS = 1) + 8 (if PS = 2) + 11 (if initial stage = IV) + 4 (if weight loss). Patients were classified into two prognostic groups: good (0-8) and poor (≥9). The median survival in the two groups in the testing set were 13.15 (95% CI, 10.82-15.91) and 8.52 months (95% CI, 7.5-9.63), respectively. The model had area under the 1-year and 2-year ROCs (0.6 and 0.65, respectively) that were higher than existing models.

CONCLUSIONS

Male gender, poor performance status, distant metastases and recent weight loss predict for poor overall survival (OS) in older patients with advanced NSCLC. This study proposes a simple prognostic model for older adults with advanced NSCLC.

Prognostic Value of White Blood Cells Detected for the First Time After Adjuvant Chemotherapy in Primary Operable Non-Small Cell Lung Cancer

OBJECTIVE

To investigate the prognostic value of white blood cells detected for the first time after adjuvant chemotherapy in primary operable non-small cell lung cancer.

METHODS

From January 2010 to May 2016, data from 208 patients who underwent surgery for non-small cell lung cancer were retrospectively analyzed.

RESULTS

A white blood cell count detected for the first time after adjuvant chemotherapy greater than 7.00 was an independent predictor of poor disease-free survival (Hazard ratio: 1.736, 95% confidence interval: 1.267-2.378; P = .001) and overall survival (Hazard ratio: 1.802, 95% confidence interval: 1.305-2.471; P = .000). In a further study, after myelosuppression, survival analysis indicated that the patients with white blood cell counts <2.5 had poorer survival than patients with blood cell counts 2.5 to 4.0, P = .031. When the analysis was stratified by the type of histology, patients with a white blood cell count >7.00 and increased white blood cell after chemotherapy compared to pretreatment had a poorer prognosis than patients with white blood cell ≤7.00 and no increase in white blood cell, P = .000 and P = .002, respectively. We further evaluated the prognosis of the 2 groups in different levels of white blood cell. In the group of patients with white blood cell ≤4.0, patients with chemotherapy cycles ≤2, and >2 showed no differences (Hazard ratio: 2.346, 95% confidence interval: 0.288-19.073, P = .425). In the group of patients with white blood cell of 4.0 to 7.0, the prognosis of patients with chemotherapy cycles ≤2 and patients with chemotherapy cycles >2 showed no difference (Hazard ratio: 0.560, 95% confidence interval: 0.248-1.261, P = .161). In the group of patients with white blood cell >7.0, patients with >2 chemotherapy cycles had a better prognosis than patients with chemotherapy cycles ≤2 (Hazard ratio: 0.573, 95% confidence interval: 0.338-0.971, P = .037) Conclusions: The level of white blood cells detected for the first time after adjuvant chemotherapy is an independent risk factor for non-small cell lung cancer, especially for patients with nonadenocarcinoma. In addition, the level of white blood cells after postoperative adjuvant chemotherapy and its change compared with pretreatment might also provide useful information regarding the best choice of cycles of adjuvant chemotherapy.

Prognostic value of inflammation-based markers in advanced or metastatic neuroendocrine tumours

Background

The role of systemic inflammation-based markers remains uncertain in advanced or metastatic neuroendocrine tumours (nets).

Methods

Systemic inflammatory factors, such as levels of circulating white blood cells and other blood components, were combined to yield inflammation-based prognostic scores [high-sensitivity inflammation-based Glasgow prognostic score (hsgps), neutrophil:lymphocyte ratio (nlr), platelet:lymphocyte ratio (plr), high-sensitivity inflammation-based prognostic index (hspi), and prognostic nutritional index (pni)], whose individual values as prognostic markers were retrospectively determined. Univariate and multivariate analyses were used to examine the association of inflammatory markers with overall survival (os).

Results

The study included 135 patients. Univariate analysis revealed that elevated white blood cell count, elevated neutrophil count, low serum albumin, elevated high-sensitivity C-reactive protein, and elevated hspi, hsgps, and nlr scores were significantly associated with worse os. Multivariate analyses demonstrated that, apart from pathology grade and original site of the tumour, elevated hspi (p = 0.004) was an independent prognostic factor for worse os.

Conclusions

In the present study, elevated pretreatment hspi was observed to be an independent predictor of shorter os in patients with inoperable advanced or metastatic net. The hspi might thus provide additional guidance for therapeutic decision-making in such patients.

Proteasome Inhibitor-Induced IκB/NF-κB Activation is Mediated by Nrf2-Dependent Light Chain 3B Induction in Lung Cancer Cells

IκB, a cytoplasmic inhibitor of nuclear factor-κB (NF-κB), is reportedly degraded via the proteasome. However, we recently found that long-term incubation with proteasome inhibitors (PIs) such as PS-341 or MG132 induces IκBα degradation via an alternative pathway, lysosome, which results in NF-κB activation and confers resistance to PI-induced lung cancer cell death. To enhance the anti-cancer efficacy of PIs, elucidation of the regulatory mechanism of PI-induced IκBα degradation is necessary. Here, we demonstrated that PI upregulates nuclear factor (erythroid-derived 2)-like 2 (Nrf2) via both de novo protein synthesis and Kelch-like ECH-associated protein 1 (KEAP1) degradation, which is responsible for IκBα degradation via macroautophagy activation. PIs increased the protein level of light chain 3B (LC3B, macroautophagy marker), but not lysosome-associated membrane protein 2a (Lamp2a, the receptor for chaperone-mediated autophagy) in NCI-H157 and A549 lung cancer cells. Pretreatment with macroautophagy inhibitor or knock-down of LC3B blocked PI-induced IκBα degradation. PIs up-regulated Nrf2 by increasing its transcription and mediating degradation of KEAP1 (cytoplasmic inhibitor of Nrf2). Overexpression of dominant-negative Nrf2, which lacks an N-terminal transactivating domain, or knock-down of Nrf2 suppressed PI-induced LC3B protein expression and subsequent IκBα degradation. Thus, blocking of the Nrf2 pathway enhanced PI-induced cell death. These findings suggest that Nrf2-driven induction of LC3B plays an essential role in PI-induced activation of the IκB/NF-κB pathway, which attenuates the anti-tumor efficacy of PIs.

Prevalence of low body mass index among newly diagnosed lung cancer patients in North India and its association with smoking status

There is limited data from South Asia on the prevalence of low body mass index (BMI) among newly diagnosed lung cancer patients at presentation and its association with smoking status. A retrospective analysis of a prospective cohort of newly diagnosed lung cancer patients is presented here. Patients were categorized as normal/overweight (BMI ≥ 18.50 kg/m² ; group I), mild/moderately underweight (BMI = 16.00-18.49 kg/m² ; group II) or severely underweight (BMI < 16.0 kg/m² ; group III). Smoking status was assessed using the smoking index (SI; product of number of bidis/cigarettes smoked per day with number of years smoked). Based on the SI, patients were categorized as never-smokers, light/moderate smokers [SI = 1-300] and heavy smokers [SI ≥ 301]. A low BMI was present in 155 (44.3%) patients. Compared to group I, patients in groups II and III had higher percentages of men and current/ex-smokers. On univariate logistic regression analysis (LRA), SI = 1-300 [odds ratio (OR) = 2.75; 95% confidence intervals (CI) = 1.27-5.97] and SI ≥ 301 [OR = 4.57; 95% CI = 2.20-9.49] were associated with higher odds of the presence of low BMI among non-small cell lung cancer (NSCLC) patients while female sex had lower odds [OR = 0.34; 95% CI = 0.16-0.72]. On multivariate LRA, only SI ≥ 301 [OR = 3.74; 95% CI = 1.59-8.80] had a significant association with occurrence of low BMI. Low BMI is common among newly diagnosed lung cancer patients in North India. Heavy smoking is independently associated with presence of low BMI at presentation among NSCLC patients.

Development and validation of a prognostic index for survival in non-small cell lung cancer: Results from a Tunisian cohort study

INTRODUCTION

Despite the continuous efforts made with the TNM system, the issue of heterogeneity of prognosis within the stages of non-small cell lung cancer (NSCLC) could not be resolved. Our aim was to identify prognostic factors and develop an index to predict NSCLC survival with greater accuracy.

METHODS

We conducted a survival study over 5 years on patients with NSCLC. Kaplan-Meier analysis followed by Cox regression modelling were used. Prognostic indices were derived, using either an additive or a multiplicative pattern, and were compared by their receiver operating characteristics (ROC) curves. We then proceeded to a risk stratification and validation of the index on the derivation cohort.

RESULTS

Two hundred and sixty-two NSCLC patients were included. Two models were constructed, using the following nine variables as prognostic factors: age, performance status, haemoglobin level, leucocyte count, calcium, lactate dehydrogenase, alkaline phosphatase levels, histological type and TNM stage. Four prognostic indices were derived, and the best one was picked and validated on a population of five risk groups. The higher the risk group, the shorter the survival.

CONCLUSIONS

This novel and simple prognostic tool could predict survival more accurately in patients with NSCLC.

A Model to Predict the Use of Surgical Resection for Advanced-Stage Non-Small Cell Lung Cancer Patients

BACKGROUND

For advanced-stage non-small cell lung cancer, chemotherapy and chemoradiotherapy are the primary treatments. Although surgical intervention in these patients is associated with improved survival, the effect of selection bias is poorly defined. Our objective was to characterize selection bias and identify potential surgical candidates by constructing a Surgical Selection Score (SSS).

METHODS

Patients with clinical stage IIIA, IIIB, or IV non-small cell lung cancer were identified in the National Cancer Data Base from 1998 to 2012. Logistic regression was used to develop the SSS based on clinical characteristics. Estimated area under the receiver operating characteristic curve was used to assess discrimination performance of the SSS. Kaplan-Meier analysis was used to compare patients with similar SSSs.

RESULTS

We identified 300,572 patients with stage IIIA, IIIB, or IV non-small cell lung cancer without missing data; 6% (18,701) underwent surgical intervention. The surgical cohort was 57% stage IIIA (n = 10,650), 19% stage IIIB (n = 3,483), and 24% stage IV (n = 4,568). The areas under the receiver operating characteristic curve from the best-fit logistic regression model in the training and validation sets were not significantly different, at 0.83 (95% confidence interval, 0.82 to 0.83) and 0.83 (95% confidence interval, 0.82 to 0.83). The range of SSS is 43 to 1,141. As expected, SSS was a good predictor of survival. Within each quartile of SSS, patients in the surgical group had significantly longer survival than nonsurgical patients (p < 0.001).

CONCLUSIONS

A prediction model for selection of patients for surgical intervention was created. Once validated and prospectively tested, this model may be used to identify patients who may benefit from surgical intervention.

Chemotherapy-induced neutropenia and the prognosis of colorectal cancer: a meta-analysis of cohort studies

INTRODUCTION

Recently, there has been a controversial discussion about the prognostic value of chemotherapy-induced neutropenia (CIN) in colorectal cancer patients. Thus, a meta-analysis was conducted to determine the relationship between CIN and the prognosis of colorectal cancer patients.

METHODS

We searched the PubMed, EMBASE, and Cochrane library databases to identify studies evaluating the association between CIN and colorectal cancer prognosis. Pooled random/fixed effect models were used to calculate pooled hazard ratios (HRs) and 95% confidence intervals (CIs) to assess the association.

RESULTS

Eight studies were selected for the meta-analysis, for a total of 2,745 patients. There was significant improved survival among colorectal cancer patients with CIN (HR = 0.62, 95% CI = 0.47-0.76). However, significant heterogeneity was found (p = 0.000, Ι² = 75.0%). Through subgroup analysis, we could greatly eliminate the heterogeneity and found that neutropenia was associated with better survival in stage IV colorectal cancer patients, no matter the HR calculated by overall survival (OS) or progression-free survival (PFS). Meanwhile, the prognostic value of neutropenia in stage II/III colorectal cancer can be found when the HR is calculated by disease-free survival (DFS). Additionally, we observed significant differences after stratification according to various tumor stages, endpoints, and the use of G-CSF.

CONCLUSIONS

Our results which, based on a cohort study, indicate that CIN is associated with improved survival in patients with colorectal cancer. However, further randomized controlled trials are warranted.

Lung cancer prognostic index: a risk score to predict overall survival after the diagnosis of non-small-cell lung cancer

INTRODUCTION

Non-small-cell lung cancer outcomes are poor but heterogeneous, even within stage groups. To improve prognostic precision we aimed to develop and validate a simple prognostic model using patient and disease variables.

METHODS

Prospective registry and study data were analysed using Cox proportional hazards regression to derive a prognostic model (hospital 1, n=695), which was subsequently tested (Harrell's c-statistic for discrimination and Cox-Snell residuals for calibration) in two independent validation cohorts (hospital 2, n=479 and hospital 3, n=284).

RESULTS

The derived Lung Cancer Prognostic Index (LCPI) included stage, histology, mutation status, performance status, weight loss, smoking history, respiratory comorbidity, sex, and age. Two-year overall survival rates according to LCPI in the derivation and two validation cohorts, respectively, were 84, 77, and 68% (LCPI 1: score⩽9); 61, 61, and 42% (LCPI 2: score 10-13); 33, 32, and 14% (LCPI 3: score 14-16); 7, 16, and 5% (LCPI 4: score ⩾15). Discrimination (c-statistic) was 0.74 for the derivation cohort, 0.72 and 0.71 for the two validation cohorts.

CONCLUSIONS

The LCPI contributes additional prognostic information, which may be used to counsel patients, guide trial eligibility or design, or standardise mortality risk for epidemiological analyses.

The Prognostic Value of Pre-Treatment Leukocytosis in Patients with Previously Treated, Stage IIIB/IV Non-Small Cell Lung Cancer Treated with the IGF-1R Pathway Modulator AXL1717 or Docetaxel; a Retrospective Analysis of a Phase II Trial

Background: The aim of the present study was to investigate any prognostic value of pre-treatment anemia, leukocytosis and thrombocytosis in patients with advanced pretreated NSCLC. Methods: A randomized, multicenter phase II study comparing the IGF-1R modulator AXL with standard docetaxel in the treatment of previously treated stage IIIB or IV NSCLC patients was conducted in 2011-2013. Clinical and laboratory data were collected, including serum values for hemoglobin (Hgb), white blood cells (WBC) and platelets (Plt) at baseline. These hematological parameters were studied in relation to overall survival using Kaplan–Meier product-limit estimates and multivariate Cox proportional hazards regression models. Results: The median overall survival for all patients was 8.9 months. Patients with leukocytosis (WBC > 9 x 109/L) had a significantly shorter median overall survival (4.2 months) as compared with those with a WBC ≤ 9 x 109/L at baseline (12.3 months) with a corresponding of HR 2.10 (95% CI: 1.29-3.43). Patients with anemia (Hgb < 110 g/L) had a non-significant (p = 0.097) shorter median overall survival (6.1 months) as compared with their counterparts with Hgb ≥ 110 g/L at baseline (9.4 months). As for thrombocytosis (Plt > 350 x 109/L), there was no statistically significant impact on overall survival. Leukocytosis retained its prognostic significance in a multivariate model where other clinical factors such as age, sex and WHO performance status were taken into consideration (HR: 1.83, 95% CI: 1.06-3.13, p = 0.029). Conclusion: Pre-treatment leukocytosis is a strong and independent prognostic marker for shorter overall survival in previously treated stage IIIB or IV NSCLC patients receiving docetaxel or AXL1717. Combined use of pre-treatment leukocytosis assessments together with established prognostic factors such as performance status could be of help when making treatment decisions in this clinical setting.

Body mass index and mortality in lung cancer patients: a systematic review and meta-analysis

Studies examining the relation of body mass index (BMI) and mortality in patients with lung cancer have shown diverse results. We conducted a meta-analysis to investigate the association using all available studies from January 1982 to October 2016. PubMed and EMBASE were searched to identify relevant studies. We calculated the summary hazard ratio (HR) and 95% confidence interval (CI) using random effects model. The dose-response relationship was assessed by random effects meta-regression model. Fifty-five articles from 51 studies involving 3 152 552 subjects (males, 54.8%) were included. The pooled results suggested that on average a high BMI decreased risk of death from lung cancer or all-cause. Each 5 kg/m² increase in BMI had a 12% lower risk of lung cancer-specific mortality (HR=0.88, 95% CI: 0.75-1.02, P=0.09) and a 14% lower risk of all-cause mortality (HR=0.86, 95% CI: 0.77-0.96, P<0.01). When stratifying by ethnicity, each 5 kg/m² increase in BMI was associated with 22% and 28% reduction, respectively, in the risk of lung cancer-specific mortality (P<0.01) and all-cause mortality (P<0.01) in Asians, but no association was found in Westerners (P=0.51 and P=0.53, respectively). In conclusion, lung cancer patients with a higher BMI have a longer survival than those with a lower BMI. Considering the significant heterogeneity between included studies, future studies are needed to confirm these findings.

A Prognostic Model to Predict Mortality among Non-Small-Cell Lung Cancer Patients in the U.S. Military Health System

INTRODUCTION

Accurate prognosis assessment after non-small-cell lung cancer (NSCLC) diagnosis is an essential step for making effective clinical decisions. This study is aimed to develop a prediction model with routinely available variables to assess prognosis in patients with NSCLC in the U.S. Military Health System.

METHODS

We used the linked database from the Department of Defense's Central Cancer Registry and the Military Health System Data Repository. The data set was randomly and equally split into a training set to guide model development and a testing set to validate the model prediction. Stepwise Cox regression was used to identify predictors of survival. Model performance was assessed by calculating area under the receiver operating curves and construction of calibration plots. A simple risk scoring system was developed to aid quick risk score calculation and risk estimation for NSCLC clinical management.

RESULTS

The study subjects were 5054 patients diagnosed with NSCLC between 1998 and 2007. Age, sex, tobacco use, tumor stage, histology, surgery, chemotherapy, peripheral vascular disease, cerebrovascular disease, and diabetes mellitus were identified as significant predictors of survival. Calibration showed high agreement between predicted and observed event rates. The area under the receiver operating curves reached 0.841, 0.849, 0.848, and 0.838 during 1, 2, 3, and 5 years, respectively.

CONCLUSIONS

This is the first NSCLC prognosis model for quick risk assessment within the Military Health System. After external validation, the model can be translated into clinical use both as a web-based tool and through mobile applications easily accessible to physicians, patients, and researchers.

Refining Prognosis in Lung Cancer: A Report on the Quality and Relevance of Clinical Prognostic Tools

INTRODUCTION

Accurate, individualized prognostication for lung cancer patients requires the integration of standard patient and pathologic factors, biological, genetic, and other molecular characteristics of the tumor. Clinical prognostic tools aim to aggregate information on an individual patient to predict disease outcomes such as overall survival, but little is known about their clinical utility and accuracy in lung cancer.

METHODS

A systematic search of the scientific literature for clinical prognostic tools in lung cancer published from January 1, 1996 to January 27, 2015 was performed. In addition, web-based resources were searched. A priori criteria determined by the Molecular Modellers Working Group of the American Joint Committee on Cancer were used to investigate the quality and usefulness of tools. Criteria included clinical presentation, model development approaches, validation strategies, and performance metrics.

RESULTS

Thirty-two prognostic tools were identified. Patients with metastases were the most frequently considered population in non-small-cell lung cancer. All tools for small-cell lung cancer covered that entire patient population. Included prognostic factors varied considerably across tools. Internal validity was not formally evaluated for most tools and only 11 were evaluated for external validity. Two key considerations were highlighted for tool development: identification of an explicit purpose related to a relevant clinical population and clear decision points and prioritized inclusion of established prognostic factors over emerging factors.

CONCLUSIONS

Prognostic tools will contribute more meaningfully to the practice of personalized medicine if better study design and analysis approaches are used in their development and validation.

Lung adenocarcinoma may be a more susceptive subtype to a dendritic cell-based cancer vaccine than other subtypes of non-small cell lung cancers: a multicenter retrospective analysis

OBJECTIVE

The J-SICT DC Vaccine Study Group provides dendritic cell (DC) vaccines for compassionate use under unified cell production and patient treatment regimens. We previously reported beneficial effects of DC vaccines on the overall survival of 62 patients with advanced non-small cell lung cancer (NSCLC) in a single-center analysis. Here, we extended analysis to 260 patients with NSCLC who were treated at six centers.

METHODS

Of the 337 patients who met the inclusion criteria, we analyzed 260 patients who received ≥5 peptide-pulsed DC vaccinations once every 2 weeks.

RESULTS

The mean survival time (MST) from diagnosis was 33.0 months (95 % confidence interval [CI]: 27.9-39.2), and that from time of first vaccination was 13.8 months (95 % CI 11.4-16.8). An erythema reaction at the injection site that was ≥30 mm in diameter was correlated most strongly with overall survival from the first vaccine (≥30 vs. < 30 mm: MST 20.4 vs. 8.8 months, P < 0.001). We reported a similar finding in our previous analysis of patients with advanced pancreatic cancer. Interestingly, although such findings were common between patients with adenocarcinoma and those with other subtypes, the former group experienced significantly prolonged overall survival and a higher response rate for erythema (56.3 vs. 37.3 %, respectively, P = 0.014).

CONCLUSIONS

This is the first multicenter study that suggests a possible clinical benefit of DC vaccines for patients with advanced NSCLC, especially those with adenocarcinoma. These findings suggest a specific potential responder population for DC vaccines and warrant further investigation in well-controlled prospective randomized trials.

Outcomes and prognostic factors of chemotherapy for patients with locally advanced or metastatic pulmonary squamous cell carcinoma

BACKGROUND

Pulmonary squamous cell carcinoma has not benefited from improvements in chemotherapy over the past decade, compared with non-squamous non-small-cell lung cancer. Nowadays, treatment strategies differ between squamous and non-squamous non-small-cell lung cancers. This study aimed to investigate the percentage of patients treated with first-, second-, or third-line chemotherapy and the characteristics of patients for whom chemotherapy has been beneficial.

METHOD

Data on patients with stage IIIB or IV squamous cell carcinoma diagnosed between June 2007 and March 2015, and on patients who had received first-, second-, or third-line chemotherapy between June 2007 and November 2015 at our hospital, were retrospectively extracted from our institutional medical charts. We also compared patients who were treated with chemotherapy (chemotherapy group) and patients who were not (non-chemotherapy group) using multivariate logistic regression and multivariate Cox hazard analyses, respectively.

RESULTS

During the study period, 103, 63, and 32 patients received first-, second-, and third-line chemotherapy, respectively. Fifty-one patients did not receive chemotherapy. Factors predicting unlikely chemotherapy included age ≥75 years, Eastern Cooperative Oncology Group (ECOG)-performance status (PS) ≥2, Charlson comorbidity index ≥2, hemoglobin <12.2 g/dL, red cell distribution width ≥13.9%, and serum sodium <140 mEq/L. Factors predicting survival for each line of chemotherapy included the following: ECOG-PS ≥2 for first-line; ECOG-PS ≥2 and lymphocyte count for second-line; and ECOG-PS ≥2, body mass index <18.5 kg/m2, and hemoglobin and lactate dehydrogenase levels for third-line.

CONCLUSION

Approximately 66% of patients received first-line chemotherapy. Of those, 66% and 33% received second- and third-line chemotherapy, respectively. ECOG-PS was always an essential prognostic factor when considering introducing chemotherapy and proceeding with additional chemotherapy. Other markers, such as lymphocyte count, body mass index, anemia, and lactate dehydrogenase level, may be useful depending on the patient and line of chemotherapy.

Prognostic value of perioperative leukocyte count in resectable gastric cancer

AIM: To investigate the prognostic significance of perioperative leukopenia in patients with resected gastric cancer.

METHODS: A total of 614 eligible gastric cancer patients who underwent curative D2 gastrectomy and adjuvant chemotherapy were enrolled in this study. The relationship between pre- and postoperative hematologic parameters and overall survival was assessed statistically, adjusted for known prognostic factors.

RESULTS: The mean white blood cell count (WBC) significantly decreased after surgery, and 107/614 (17.4%) patients developed p-leukopenia, which was defined as a preoperative WBC ≥ 4.0 × 10⁹/L and postoperative WBC < 4.0 × 10⁹/L, with an absolute decrease ≥ 0.5 × 10⁹/L. The neutrophil count decreased significantly more than the lymphocyte count. P-leukopenia significantly correlated with poor tumor differentiation and preoperative WBC. A higher preoperative WBC and p-leukopenia were independent negative prognostic factors for survival [hazard ratio (HR) = 1.602, 95% confidence interval (CI): 1.185-2.165; P = 0.002, and HR = 1.478, 95%CI: 1.149-1.902; P = 0.002, respectively] after adjusting for histology, Borrmann type, pTNM stage, vascular or neural invasion, gastrectomy method, resection margins, chemotherapy regimens, and preoperative WBC count. The patients with both higher preoperative WBC and p-leukopenia had a worse prognosis compared to those with lower baseline WBC and no p-leukopenia (27.5 mo vs 57.3 mo, P < 0.001).

CONCLUSION: Preoperative leukocytosis alone or in combination with postoperative leukopenia could be independent prognostic factors for survival in patients with resectable gastric cancer.

Pretreatment neutrophil-lymphocyte ratio is not a significant prognostic factor in epidermal growth factor receptor-mutant non-small cell lung cancer patients treated with tyrosine kinase inhibitors

Background

The neutrophil‐lymphocyte ratio (NLR) is a marker of poor prognosis in lung cancer patients. However, previous data have been based on an heterogeneous population of lung cancer patients and various treatments. In this study, we evaluate the prognostic value of NLR in an homogeneous population of epidermal growth factor receptor (EGFR)‐mutant non‐small cell lung cancer (NSCLC) patients.

Methods

We restrospectively evaluated the data of 250 NSCLC patients with EGFR mutations. All data are based on first‐line treatment.

Results

All tumors harbored in‐frame deletions in exon 19 or an L858R point mutation. Eighty‐five patients were treated with tyrosine kinase inhibitors (TKIs), while 165 received cytotoxic chemotherapy as first‐line treatment. Multivariate survival analysis revealed that the NLR was a significant prognostic factor for first‐line progression‐free survival (PFS) in the chemotherapy group (hazard ratio [HR] 1.882, 95% confidence interval [CI] 1.319–2.686, P = 0.001), but was not significant in the TKI group (HR 1.239, 95% CI 0.693–2.215, P = 0.469). The response rate (RR) to first‐line treatment was 76.5% in the TKI group and 29.5% in the chemotherapy group; however, the RR, according to the NLR (≤3 vs. > 3), was the same for both groups.

Conclusions

The NLR was a significant prognostic factor in the chemotherapy group, but it did not affect either RR or PFS in EGFR‐mutant NSCLC patients treated with TKIs.

Validation of survival prognostic models for non-small-cell lung cancer in stage- and age-specific groups

PURPOSE

Prognostic models have been proposed to predict survival for non-small-cell lung cancer (NSCLC). It is important to evaluate whether these models perform better than performance status (PS) alone in stage- and age-specific subgroups.

PATIENTS AND METHODS

The validation cohort included 2060 stage I and 1611 stage IV NSCLC patients from 23CALGB studies. For stage I, Blanchon (B), Chansky (C) and Gail (G) models were evaluated along with the PS only model. For stage IV, Blanchon (B) and Mandrekar (M) models were compared with the PS only model. The c-index was used to assess the concordance between survival and risk scores. The c-index difference (c-difference) and the integrated discrimination improvement (IDI) were used to determine the improvement of these models over the PS only model.

RESULTS

For stage I, B and PS have better survival separation. The c-index for B, PS, C and G are 0.61, 0.58, 0.57 and 0.52, respectively, and B performs significantly better than PS with c-difference=0.034. For stage IV, B, M and PS have c-index 0.61, 0.64 and 0.60, respectively; B and M perform significantly better than PS with c-difference=0.015 and 0.033, respectively.

CONCLUSION

Although some prognostic models have better concordance with survival than the PS only model, the absolute improvement is small. More accurate prognostic models should be developed; the inclusion of tumor genetic variants may improve prognostic models.

A new scoring system for predicting survival in patients with non-small cell lung cancer

This analysis was performed to create a scoring system to estimate the survival of patients with non-small cell lung cancer (NSCLC). Data from 1274 NSCLC patients were analyzed to create and validate a scoring system. Univariate (UV) and multivariate (MV) Cox models were used to evaluate the prognostic importance of each baseline factor. Prognostic factors that were significant on both UV and MV analyses were used to develop the score. These included quality of life, age, performance status, primary tumor diameter, nodal status, distant metastases, and smoking cessation. The score for each factor was determined by dividing the 5-year survival rate (%) by 10 and summing these scores to form a total score. MV models and the score were validated using bootstrapping with 1000 iterations from the original samples. The score for each prognostic factor ranged from 1 to 7 points with higher scores reflective of better survival. Total scores (sum of the scores from each independent prognostic factor) of 32–37 correlated with a 5-year survival of 8.3% (95% CI = 0–17.1%), 38–43 correlated with a 5-year survival of 20% (95% CI = 13–27%), 44–47 correlated with a 5-year survival of 48.3% (95% CI = 41.5–55.2%), 48–49 correlated to a 5-year survival of 72.1% (95% CI = 65.6–78.6%), and 50–52 correlated to a 5-year survival of 84.7% (95% CI = 79.6–89.8%). The bootstrap method confirmed the reliability of the score. Prognostic factors significantly associated with survival on both UV and MV analyses were used to construct a valid scoring system that can be used to predict survival of NSCLC patients. Optimally, this score could be used when counseling patients, and designing future trials.

A laboratory prognostic index model for patients with advanced non-small cell lung cancer

Purpose

We aimed to establish a laboratory prognostic index (LPI) in advanced non-small cell lung cancer (NSCLC) patients based on hematologic and biochemical parameters and to analyze the predictive value of LPI on NSCLC survival.

Patients and Methods

The study retrospectively reviewed 462 patients with advanced NSCLC diagnosed between 2000 and 2010 in a single institution. We developed an LPI that included serum levels of white blood cells (WBC), lactate dehydrogenase (LDH), albumin, calcium, and alkaline phosphatase (ALP), based on the results of a Cox regression analysis. The patients were classified into 3 LPI groups as follows: LPI 0: normal; LPI 1: one abnormal laboratory finding; and LPI 2: at least 2 abnormal laboratory findings.

Results

The median follow up period was 44 months; the median overall survival (OS) and median progression-free survival (PFS) were 11 and 6 months, respectively. A multivariate analysis revealed that the following could be used as independent prognostic factors: an Eastern Cooperative Oncology Group performance status score (ECOG PS) ≥2, a high LDH level, serum albumin <3 g/dL, serum calcium>10.5 g/dL, number of metastases>2, presence of liver metastases, malignant pleural effusion, or receiving chemotherapy ≥4 cycles. The 1-year OS rates according to LPI 0, LPI 1, and LPI 2 were 54%, 34%, and 17% (p<0.001), respectively and 6-month PFS rates were 44%, 27%, and 15% (p<0.001), respectively. The LPI was a significant predictor for OS (Hazard Ratio (HR): 1.41; 1.05–1.88, p<0.001) and PFS (HR: 1.48; 1.14–1.93, p<0.001).

Conclusion

An LPI is an inexpensive, easily accessible and independent prognostic index for advanced NSCLC and may be helpful in making individualized treatment plans and predicting survival rates when combined with clinical parameters.

A comprehensive review of nongenetic prognostic and predictive factors influencing the heterogeneity of outcomes in advanced non-small-cell lung cancer

While there have been advances in treatment options for those with advanced non-small-cell lung cancer, unmet medical needs remain, partly due to the heterogeneity of treatment effect observed among patients. The goals of this literature review were to provide updated information to complement past reviews and to identify a comprehensive set of nongenetic prognostic and predictive baseline factors that may account for heterogeneity of outcomes in advanced non-small-cell lung cancer. A review of the literature between 2000 and 2010 was performed using PubMed, Embase, and Cochrane Library. All relevant studies that met the inclusion criteria were selected and data elements were abstracted. A classification system was developed to evaluate the level of evidence for each study. A total of 54 studies were selected for inclusion. Patient-related factors (eg, performance status, sex, and age) were the most extensively researched nongenetic prognostic factors, followed by disease stage and histology. Moderately researched prognostic factors were weight-related variables and number or site of metastases, and the least studied were comorbidities, previous therapy, smoking status, hemoglobin level, and health-related quality of life/symptom severity. The prognostic factors with the most consistently demonstrated associations with outcomes were performance status, number or site of metastases, previous therapy, smoking status, and health-related quality of life. Of the small number of studies that assessed predictive factors, those that were found to be significantly predictive of outcomes were performance status, age, disease stage, previous therapy, race, smoking status, sex, and histology. These results provide a comprehensive overview of nongenetic prognostic and predictive factors assessed in advanced non-small-cell lung cancer over the last decade. This information can be used to inform the design of future clinical trials by suggesting additional subgroups based on nongenetic factors that may be analyzed to further investigate potential prognostic and predictive factors.

Circulating endothelial-derived activated microparticle: a useful biomarker for predicting one-year mortality in patients with advanced non-small cell lung cancer

BACKGROUND

This study tested the hypothesis that circulating microparticles (MPs) are useful biomarkers for predicting one-year mortality in patients with end-stage non-small cell lung cancer (ES-NSCLC).

METHODS AND RESULTS

One hundred seven patients were prospectively enrolled into the study between April 2011 and February 2012, and each patient received regular follow-up after enrollment. Levels of four MPs in circulation, (1) platelet-derived activated MPs (PDAc-MPs), (2) platelet-derived apoptotic MPs (PDAp-MPs), (3) endothelial-derived activated MPs (EDAc-MPs), and (4) endothelial-derived apoptotic MPs (EDAp-MPs), were measured just after the patient was enrolled into the study using flow cytometry. Patients who survived for more than one year were categorized into group 1 (n = 56) (one-year survivors) and patients who survived less than one year were categorized into group 2 (n = 51) (one-year nonsurvivors). Male gender, incidence of liver metastasis, progression of disease after first-line treatment, poor performance status, and the Charlson comorbidity index were significantly higher in group 2 than in group 1 (all P < 0.05). Additionally, as measured by flow cytometry, only the circulating level of EDAc-MPs was found to be significantly higher in group 2 than in group 1 (P = 0.006). Multivariate analysis demonstrated that circulating level of EDAc-MPs along with brain metastasis and male gender significantly and independently predictive of one-year mortality (all P < 0.035).

CONCLUSION

Circulating EDAc-MPs may be a useful biomarker predictive of one-year morality in ES-NSCLC patients.

Peripheral blood lymphocyte/monocyte ratio at the time of first relapse predicts outcome for patients with relapsed or primary refractory diffuse large B-cell lymphoma

Background

Despite the use of modern immunochemotherapy regimens, a significant proportion of diffuse large B-cell lymphoma (DLBCL) patients will relapse. We proposed absolute lymphocyte count/absolute monocyte count ratio (ALC/AMC ratio) as a new prognostic factor in relapsed or primary refractory DLBCL.

Methods

We retrospectively analyzed 163 patients who have been diagnosed with relapsed or primary refractory DLBCL. The overall survival (OS) and progression-free survival (PFS) were measured from the time of first relapse. The Cox proportional hazards model was used to evaluate ALC/AMC ratio as prognostic factors for OS and PFS.

Results

On univariate and multivariate analysis performed with factors included in the saaIPI, early relapse, prior exposure to rituximab and autologous stem-cell transplantation (ASCT), the ALC/AMC ratio at the time of first relapse remained an independent predictor of PFS and OS (PFS: P < 0.001; OS: P < 0.001). Patients with lower ALC/AMC ratio (<2.0) had lower overall response rate, 1-year PFS and 2-year OS rate compared with those with higher ALC/AMC ratio (≥2.0). Moreover, the ALC/AMC ratio can provide additional prognostic information when superimposed on the saaIPI.

Conclusions

Lower ALC/AMC ratio at the time of first relapse is a adverse prognostic factor for OS and PFS in relapsed or primary refractory DLBCL, and leads to the identification of high-risk patients otherwise classified as low/intermediate risk by the saaIPI alone.

Prognostic factors in the radical nonsurgical treatment of stage IIIB non-small-cell lung cancer

BACKGROUND

Many patients diagnosed with stage IIIB (AJCC sixth edition; T4, N3, or both; no pleural effusion) non-small-cell lung cancer (NSCLC) are treated with curative intent, despite a low cure rate. Guidelines are required to help select patients for radical therapy so that the patients with little chance of cure may be spared the toxicities of aggressive treatment. A retrospective analysis was performed to investigate factors influencing outcomes in these patients.

MATERIALS AND METHODS

From 2002 to 2009, all cases of stage IIIB NSCLC from the authors' institution were identified. Patients treated with radical radiotherapy (minimum dose, 50 Gy), with or without chemotherapy, were included. Charts were reviewed for patient demographic data, baseline blood work, tumor factors, treatment factors, and hospitalizations. The primary outcome was overall survival (OS), measured from time of diagnosis.

RESULTS

Of 238 patients identified, 184 eligible cases were reviewed. The median follow-up for all patients was 17.2 months (range, 1.7-237.1). The median progression-free survival was 10.8 months (95% CI, 9.6-12.4). Median survival was 17.9 months, and OS was 68%, 42%, and 28% at 1, 2, and 3 years, respectively. In multivariate analysis, female gender (hazard ratio [HR], 0.58; 95% CI, 0.37-0.88; P = .0013), ≤ 5% weight loss (HR, 0.64; 95% CI, 0.43-0.93; P = .01), and absence of N3 disease (HR, 0.64; 95% CI, 0.42-0.96; P = .03) were associated with significantly longer survival.

CONCLUSION

OS was significantly longer in women, in patients with ≤ 5% weight loss, and in those without N3 disease. Good patient selection remains important in the radical treatment of stage IIIB NSCLC.

Peripheral blood lymphocyte/monocyte ratio predicts outcome for patients with diffuse large B cell lymphoma after standard first-line regimens

To determine whether peripheral blood absolute lymphocyte/absolute monocyte counts ratio (ALC/AMC ratio) at diagnosis predicts survival of diffuse large B cell lymphoma (DLBCL) patients treated with standard first-line regimens, we retrospectively analyzed 244 patients with DLBCL who were treated with standard cyclophosphamide, hydroxydaunorubicin, vincristine, and prednisone, or rituximab-cyclophosphamide, hydroxydaunorubicin, vincristine, and prednisone. Progression-free survival and overall survival (PFS and OS) were estimated using the Kaplan-Meier method and two-tailed log-rank; The Cox proportional hazards model was used to evaluate ALC/AMC ratio as prognostic factors when adjusting for the International Prognostic Index (IPI). On univariate and multivariate analyses performed with factors included in the IPI, the ALC/AMC ratio at diagnosis remained an independent predictor of OS and PFS (OS: P < 0.001; PFS: P < 0.001). Patients with lower ALC/AMC ratio (<3.8) seemed to have lower complete remission rate, 2-year PFS and 3-year OS when compared to patients with ALC/AMC ratio ≥3.8, respectively (26 versus 90 %, P < 0.001; 18 versus 82 %, P < 0.001; 24 versus 86 %; P < 0.001, respectively). Moreover, the ALC/AMC ratio was able to further risk-stratify IPI 0-2 and three-five risk patient groups, respectively. The ALC/AMC ratio at the time of diagnosis may provide additional prognostic information beyond that of the IPI for patients with DLBCL who receive standard first-line regimens.

Concomitant chemoradiotherapy with docetaxel and cisplatin followed by consolidation chemotherapy in locally advanced unresectable non-small cell lung cancer

OBJECTIVES:

To evaluate treatment results and toxicities in patients who received concomitant chemoradiotherapy (CRT) followed by consolidation with docetaxel and cisplatin in locally advanced unresectable non-small cell lung cancer (NSCLC).

METHODS:

Ninety three patients were included in this retrospective study. The patients received 66 Gy radiotherapy and weekly 20 mg/m² docetaxel and 20 mg/m² cisplatin chemotherapy concomitantly. One month later than the end of CRT, consolidation chemotherapy with four cycles of docetaxel 75 mg/m² and cisplatin 75 mg/m² were administered at each 21 days.

RESULTS:

Median age of the patients was 57 (range, 30-74). Following concomitant CRT, 14 patients (15%) showed complete and 50 patients (54%) showed partial response (total response rate was 69%). The median follow-up was 13 months (range: 2-51 months). The median overall survival was 18 months (95% confidential interval [CI]: 13.8-22.1 months); local control was 15 months (95% CI: 9.3-20.6 months); progression-free survival was 9 months (95% CI: 6.5-11.4 months). Esophagitis in eight (9%) patients, neutropenia in seven (8%) patients and pneumonitis in eight (9%) patients developed as grade III-IV toxicity due to concomitant CRT.

CONCLUSION:

Concomitant CRT with docetaxel and cisplatin followed by docetaxel and cisplatin consolidation chemotherapy might be considered as a feasible, and well tolerated treatment modality with high response rates despite the fact that it has not a survival advantage in patients with locally advanced unresectable NSCLC.

Predictors of survival in patients with non-small cell lung cancer

PURPOSE/OBJECTIVES

To examine how routine laboratory biomarkers and clinical parameters available within medical records related to overall survival in patients with non-small cell lung cancer (NSCLC).

DESIGN

Retrospective chart review.

SETTING

University-based cancer center in rural West Virginia.

SAMPLE

110 patients from the U.S. Appalachian region with a primary diagnosis of NSCLC at initial hospitalization.

METHODS

Electronic medical records were reviewed for one year after discharge or until death. The Kaplan-Meier method was used to compare survival curves for each prognostic factor. Cox proportional hazards model was used for multivariate analyses.

MAIN RESEARCH VARIABLES

Total white blood cell, neutrophil, lymphocyte, and platelet counts; hemoglobin level; body mass index (BMI); performance status; and cancer stage.

FINDINGS

Low BMI (lower than 18.5 lb/in2), advanced cancer stage (IIIB or IV), and elevated neutrophil (higher than 8 x 103/mcl) and platelet (300-826 x 1012/L) counts were significant, independent prognostic factors for shorter survival time in NSCLC. BMI (hazard ratio [HR] = 2.15, 95% confidence interval [CI] [0.94, 4.9]) and neutrophil (HR = 2.93, 95% CI [1.53, 5.59]) and platelet (HR = 2.65, 95% CI [1.25, 5.62]) counts were overall prognostic predictors for patients with advanced NSCLC and remained in the multivariate survival model.

CONCLUSIONS

This study detected two known clinical parameters, cancer stage and nutritional status (i.e., BMI and neutrophil and platelet counts), as having independent prognostic significance for shorter survival in NSCLC. Research on survival in patients with NSCLC should include those identified laboratory biomarkers and clinical parameters for screening patients at risk for shorter survival time following hospitalization. Investigation of whether treatments tailored to address neutrophil and platelet counts and BMI can improve survival outcomes also is warranted.

IMPLICATIONS FOR NURSING

Attention to common biomarkers recorded in patient charts (e.g., neutrophil and platelet counts) as well as BMI could allow nurses to identify patients at risk for low survival. Interventions should be identified and initiated. Longitudinal studies in clinical settings that follow the survival of patients with NSCLC are essential.

Peripheral CD8(+) T cell proliferation is prognostic for patients with advanced thoracic malignancies

There is a complex interplay between the immune system and a developing tumor that is manifest in the way that the balance of T cell subsets in the local tumor environment reflects clinical outcome. Tumor infiltration by CD8(+) T cells and regulatory T cells (Treg) is associated with improved and reduced survival, respectively, in many cancer types. However, little is known of the prognostic value of immunological parameters measured in peripheral blood. In this study, peripheral CD8(+) T cells and Treg from 43 patients with malignant mesothelioma or advanced non-small-cell lung cancer scheduled to commence palliative chemotherapy were assessed by flow cytometry and evaluated for association with patient survival. Patients had a higher proportion of peripheral Treg, proliferating CD8(+) T cells and CD8(+) T cells with an activated effector phenotype compared with age-matched healthy controls. Higher proportions of Treg and proliferating CD8(+) T cells were both associated with poor survival in univariate analyses (hazard ratio [HR] 3.81, 95 % CI 1.69-8.57; p < 0.01 and HR 2.86, 95 % CI 1.26-6.50; p < 0.05, respectively). CD8(+) T cell proliferation was independently predictive of reduced survival in multivariate analysis (HR 2.58, 95 % CI 1.01-6.61; p < 0.05). These findings suggest that peripheral CD8(+) T cell proliferation can be a useful prognostic marker in patients with thoracic malignancies planned for palliative chemotherapy.