4-year mortality in patients with non-small-cell lung cancer: development and validation of a prognostic index

Risk factors for early mortality from lung cancer: evolution over the last 20 years in the French nationwide KBP cohorts

BACKGROUND

The impact of the most recent advances, including targeted therapies and immune checkpoint inhibitors, on early (3-month) mortality in lung cancer is unknown. The aims of this study were to evaluate the real-world rate of and risk factors for early mortality, as well as trends in early mortality over the last 20 years.

MATERIALS AND METHODS

The KBP prospective observational multicenter studies have been conducted every 10 years since 2000. These studies collect data on all newly diagnosed patients with lung cancer (all stages and histologies) over 1 year in non-academic public hospital pulmonology or oncology units in France. In this study, we analyzed data on patient and tumor characteristics from participants in the KBP-2020 cohort and compared the characteristics of patients who died within 3 months of diagnosis with those of all other patients within the cohort. We also carried out a comparative analysis with the KBP-2000 and KBP-2010 cohorts.

RESULTS

Overall, 8999 patients from 82 centers were included in the KBP-2020 cohort. Three-month survival data were available for 8827 patients, of whom 1792 (20.3%) had died. Risk factors for early mortality were: male sex, age >70 years, symptomatic disease at diagnosis, ever smoker, weight loss >10 kg, poor Eastern Cooperative Oncology Group performance status (≥1), large-cell carcinoma or not otherwise specified, and stage ≥IIIC disease. The overall 3-month mortality rate was found to have decreased significantly over the last 20 years, from 24.7% in KBP-2000 to 23.4% in KBP-2010 and 20.3% in KBP-2020 (P < 0.0001).

CONCLUSION

Early mortality among patients with lung cancer has significantly decreased over the last 20 years which may reflect recent improvements in treatments. However, early mortality remained extremely high in 2020, particularly when viewed in light of improvements in longer-term survival. Delays in lung cancer diagnosis and management could contribute to this finding.

Sarcopenia and loss of muscle mass in patients with lung cancer undergoing chemotherapy treatment: a systematic review and meta-analysis

BACKGROUND

In patients with cancer, sarcopenia is associated with treatment related complications, treatment cessation, poor quality of life and reduced overall survival. Despite this, there is limited knowledge about changes in skeletal muscle mass during chemotherapy. The aim of this systematic review and meta-analysis was to investigate the change of skeletal muscle mass and sarcopenia during chemotherapy treatment among patients with lung cancer.

METHODS

A systematic literature search was conducted in three databases, PubMed, EMBASE and Web of Science. Observational studies with patients with lung cancer were eligible for inclusion if skeletal muscle mass was measured before and after receiving chemotherapy treatment.

RESULTS

Ten cohort studies with a total of 867 participants met the inclusion criteria. During 5.2 ± 2.9 months of chemotherapy treatment, patients with lung cancer experienced a significant loss of skeletal muscle mass with a standardized mean difference (SMD) of: -0.25 (95% CI -0.47 to -0.03). The pretreatment prevalence of sarcopenia varied across studies from 35% to 74%. Only one study reported prevalence of sarcopenia both before and after chemotherapy treatment with an increase from 35% to 59%.

CONCLUSION

The present data demonstrate a marked loss of skeletal muscle mass in patients with lung cancer undergoing chemotherapy treatment, as well as a high prevalence of sarcopenia. As sarcopenia is associated with poor clinical outcomes, it seems important to include and use assessments of skeletal muscle mass in clinical practice to identify patients in need for interventions. Moreover, interventional studies to hinder development of sarcopenia are needed.

Identification of the Transcriptional Regulatory Role of RUNX2 by Network Analysis in Lung Cancer Cells

The use of a new bioinformatics pipeline allowed the identification of deregulated transcription factors (TFs) coexpressed in lung cancer that could become biomarkers of tumor establishment and progression. A gene regulatory network (GRN) of lung cancer was created with the normalized gene expression levels of differentially expressed genes (DEGs) from the microarray dataset GSE19804. Moreover, coregulatory and transcriptional regulatory network (TRN) analyses were performed for the main regulators identified in the GRN analysis. The gene targets and binding motifs of all potentially implicated regulators were identified in the TRN and with multiple alignments of the TFs' target gene sequences. Six transcription factors (E2F3, FHL2, ETS1, KAT6B, TWIST1, and RUNX2) were identified in the GRN as essential regulators of gene expression in non-small-cell lung cancer (NSCLC) and related to the lung tumoral process. Our findings indicate that RUNX2 could be an important regulator of the lung cancer GRN through the formation of coregulatory complexes with other TFs related to the establishment and progression of lung cancer. Therefore, RUNX2 could become an essential biomarker for developing diagnostic tools and specific treatments against tumoral diseases in the lung after the experimental validation of its regulatory function.

Identifying General Tumor and Specific Lung Cancer Biomarkers by Transcriptomic Analysis

The bioinformatic pipeline previously developed in our research laboratory is used to identify potential general and specific deregulated tumor genes and transcription factors related to the establishment and progression of tumoral diseases, now comparing lung cancer with other two types of cancer. Twenty microarray datasets were selected and analyzed separately to identify hub differentiated expressed genes and compared to identify all the deregulated genes and transcription factors in common between the three types of cancer and those unique to lung cancer. The winning DEGs analysis allowed to identify an important number of TFs deregulated in the majority of microarray datasets, which can become key biomarkers of general tumors and specific to lung cancer. A coexpression network was constructed for every dataset with all deregulated genes associated with lung cancer, according to DAVID’s tool enrichment analysis, and transcription factors capable of regulating them, according to oPOSSUM´s tool. Several genes and transcription factors are coexpressed in the networks, suggesting that they could be related to the establishment or progression of the tumoral pathology in any tissue and specifically in the lung. The comparison of the coexpression networks of lung cancer and other types of cancer allowed the identification of common connectivity patterns with deregulated genes and transcription factors correlated to important tumoral processes and signaling pathways that have not been studied yet to experimentally validate their role in lung cancer. The Kaplan–Meier estimator determined the association of thirteen deregulated top winning transcription factors with the survival of lung cancer patients. The coregulatory analysis identified two top winning transcription factors networks related to the regulatory control of gene expression in lung and breast cancer. Our transcriptomic analysis suggests that cancer has an important coregulatory network of transcription factors related to the acquisition of the hallmarks of cancer. Moreover, lung cancer has a group of genes and transcription factors unique to pulmonary tissue that are coexpressed during tumorigenesis and must be studied experimentally to fully understand their role in the pathogenesis within its very complex transcriptomic scenario. Therefore, the downstream bioinformatic analysis developed was able to identify a coregulatory metafirm of cancer in general and specific to lung cancer taking into account the great heterogeneity of the tumoral process at cellular and population levels.

Real-World Treatment Patterns and Clinical Outcomes in Patients With Stage III Non-Small-Cell Lung Cancer: Results of KINDLE-Vietnam Cohort

Objective

KINDLE-Vietnam was a part of a real-world KINDLE study with an aim to characterise treatment patterns and clinical outcomes of patients with stage III non-small cell lung cancer (NSCLC).

Materials and Methods

Retrospective data from patients diagnosed with stage III NSCLC (American Joint Committee on Cancer, 7^th edition) between January 2013 and December 2017 with at least 9 months of follow-up were collected from 2 centres in Vietnam. Descriptive statistics were used to summarise demographics, disease characteristics and treatment modalities. Kaplan-Meier methodology evaluated survival estimates; 2-sided 95% confidence intervals (CIs) were computed. Inferential statistics were used to correlate clinical and treatment variables with median progression-free survival (mPFS) and median overall survival (mOS).

Results

A total of 150 patients (median age: 60 years [range 26-82]) were enrolled; 75.3% were male, 62.0% had smoking history, 56.4% had stage IIIB disease and 62.5% had adenocarcinoma. The majority of the cases (97.3%) were not discussed at a multidisciplinary team meeting. Overall, chemotherapy alone (43.3%), radiotherapy alone (17.0%), sequential chemoradiation (13.5%) and concurrent chemoradiation (12.8%) were preferred as initial therapy. Surgery-based treatment was administered in limited patients (stage IIIA, 10%; stage IIIB, 1.3%). Palliative therapy was the most commonly administered treatment upon relapse in the second-and third-line setting. The mPFS and mOS for the Vietnam cohort were 8.7 months (95% CI, 7.59-9.72) and 25.7 months (95% CI, 19.98-42.61), respectively. The mPFS and mOS for stage IIIA were 11.9 months (95% CI, 8.64-14.95) and 28.2 months (95% CI, 24.15-not-calculable) and for stage IIIB were 7.8 months (95% CI, 6.64-8.71) and 20.0 months (95% CI, 13.01-42.61).

Conclusions

KINDLE-Vietnam offers insights into the clinical findings of stage III NSCLC. There is a high unmet need for identifying patients in the early stages of NSCLC. Strategies for improving clinical outcomes in this patient population include physician education, multidisciplinary management and catering to increased access to novel agents like immunotherapy and targeted therapy.

Treatment strategy, overall survival and associated risk factors among patients with unresectable stage IIIB/IV non-small cell lung cancer in China (2015-2017): A multicentre prospective study

BACKGROUND

There are limited studies on treatment and survival analysis among patients with unresectable Stage IIIB or IV non-small cell lung cancer (NSCLC) in routine practice in China. To address this gap, we conducted a prospective observational study in a cohort of patients treated at 11 hospitals in China.

METHODS

This was a multicentre, prospective cohort study including patients with newly diagnosed unresectable Stage IIIB or IV NSCLC from June 26th, 2015 to April 28th, 2017. Patient baseline characteristics, disease characteristics, and anti-cancer treatments were obtained by medical chart review. The overall survival (OS) from the initiation of first-line treatment was analysed by the Kaplan-Meier method. Factors associated with survival were analysed by univariate and multivariate Cox regression models.

FINDINGS

Among 1324 patients enrolled with median follow-up duration of 15·0 (range: 0·0-42·1) months, 83·5% (1105/1324) of them received first-line chemotherapy of which platinum-based compounds were the dominated agents. Overall, 30·9% (409/1324) of patients received targeted therapy as 1st-line treatment including 65·0% (266/409) EGFR-TKIs and 5·1% (21/409) ALK-TKIs. Of all eligible patients, gene testing rates were 44·0% (583/1324) for EGFR mutations, 17·0% (225/1324) for EML4-ALK gene fusions, and 8·3% (110/1324) for ROS1 gene fusions. The EGFR-TKIs were administered to 63·9% (179/280) of EGFR mutated patients as first-line treatment. The overall median OS was 23·2 (95%CI 19·5-25·5) months, and patients treated at tier 1 cities had better OS than that of tier 2 cities. Also, the OS in patients with EGFR mutation was longer than those with EGFR wild type. Multivariate Cox regression models suggested that male, education below high school, tier 2 cities, smoking history, and multiple metastases were associated with poor survival.

INTERPRETATION

The gene test coverage was relatively low among the studied population, and over half of EGFR mutated patients received EGFR-TKIs, suggesting that the result of genetic tests in real-world settings may not always indicate the selection of treatment. The OS benefit observed from patients treated in tier 1 cities and those with EGFR mutation may indicate a need for broader gene test coverage, providing NSCLC patients with personalized treatment according to the results of genetic tests.

FUNDING

Roche Holding AG.TRANSLATED ABSTRACT: This translation in Chinese was submitted by the authors and we reproduce it as supplied. It has not been peer reviewed. Our editorial processes have only been applied to the original abstract in English, which should serve as reference for this manuscript.:IIIBIV(NSCLC)., ,, 11.:,, 20156262017428IIIBIVNSCLC.,.Kaplan-Meier(OS), Cox.:1324, 15.0(:0.0-42.1), 83.5%(1105/1324), ., 30.9%(409/1324), 65.0%(266/409)EGFR-TKI5.1%(21/409)ALK-TKI., EGFR,EML4-ALKROS144.0%(583/1324),17.0%(225/1324)8.3%(110/1324).63.9%(179/280)EGFREGFR-TKI.23.2 (95% 19·5-25·5) , ., EGFREGFR.Cox, ,,,.:, EGFREGFR-TKI, , .EGFR, , NSCLC.

Predictors of Mortality in Patients with Advanced Cancer-A Systematic Review and Meta-Analysis

To timely initiate advance care planning in patients with advanced cancer, physicians should identify patients with limited life expectancy. We aimed to identify predictors of mortality. To identify the relevant literature, we searched Embase, MEDLINE, Cochrane Central, Web of Science, and PubMed databases between January 2000-April 2020. Identified studies were assessed on risk-of-bias with a modified QUIPS tool. The main outcomes were predictors and prediction models of mortality within a period of 3-24 months. We included predictors that were studied in ≥2 cancer types in a meta-analysis using a fixed or random-effects model and summarized the discriminative ability of models. We included 68 studies (ranging from 42 to 66,112 patients), of which 24 were low risk-of-bias, and 39 were included in the meta-analysis. Using a fixed-effects model, the predictors of mortality were: the surprise question, performance status, cognitive impairment, (sub)cutaneous metastases, body mass index, comorbidity, serum albumin, and hemoglobin. Using a random-effects model, predictors were: disease stage IV (hazard ratio [HR] 7.58; 95% confidence interval [CI] 4.00-14.36), lung cancer (HR 2.51; 95% CI 1.24-5.06), ECOG performance status 1+ (HR 2.03; 95% CI 1.44-2.86) and 2+ (HR 4.06; 95% CI 2.36-6.98), age (HR 1.20; 95% CI 1.05-1.38), male sex (HR 1.24; 95% CI 1.14-1.36), and Charlson comorbidity score 3+ (HR 1.60; 95% CI 1.11-2.32). Thirteen studies reported on prediction models consisting of different sets of predictors with mostly moderate discriminative ability. To conclude, we identified reasonably accurate non-tumor specific predictors of mortality. Those predictors could guide in developing a more accurate prediction model and in selecting patients for advance care planning.

Cardiopulmonary Exercise Test With Comorbidity Index Before Allogeneic Hematopoietic Stem Cell Transplantation

Purpose:

To evaluate the role of the cardiopulmonary exercise test (CPET) with comorbidity index as a predictor of overall survival (OS) and non-relapse mortality (NRM) in patients with hematological malignancies who undergo allogeneic hematopoietic stem cell transplantation (HSCT).

Methods:

We retrospectively analyzed consecutive adult patients with hematological malignancies who underwent HLA-matched donor-HSCT at Chungnam National University Hospital (Daejeon, South Korea) between January 2014 and December 2020. Maximal oxygen consumption (VO2max) was classified using the recommendations of the Mayo Clinic database.

Results:

Of 72 patients, 38 (52.8%) had VO2max values lower than the 25th percentile (VO2max ≤ 25th) of an age- and sex-matched normal population. Patients with VO2max ≤ 25th had no significant differences both OS and NRM (30 month OS 29.8% vs 41%, P = .328; and 30 month NRM 16% vs 3.3%, P = .222), compared with other patients. VO2max ≤ 25th was assigned a weight of 1 when added to the Hematopoietic Cell Transplantation-specific Comorbidity Index (HCT-CI) to form a composite comorbidity/CPET index (HCT-CI/CPET). Patients with HCT-CI/CPET scores of 0 to 1 demonstrated significantly better OS and NRM than did patients with HCT-CI/CPET scores ≥2 [median OS not reached vs 6 months, P < .001 and 30 month NRM 7.4% vs 33.3%, P = .006]. An HCT-CI/CPET score ≥2 was the only adverse risk factor for NRM on multivariate analysis [hazard ratio (HR) of NRM 10.36 (95% CI 1.486-2.25, P = .018)].

Conclusion:

The composite HCT-CI/CPET score can predict the survival and mortality of patients with hematological malignancies who undergo allogeneic HSCT.

Challenges in the Management of Lung Cancer: Real-World Experience from a Tertiary Center in South India

Lung cancer is one of the most common cancers and an important cause of cancer-related mortality. Recent advances in targeted therapy and immunotherapy have improved outcomes, but these have limited penetration in resource-constrained situations. We report the real-world experience in treating patients with lung cancer in India. A retrospective analysis of baseline characters, treatment and outcomes of patients with lung cancer seen between January 2015 to December 2018 ( n = 302) at our center was carried out. Survival data were censored on July 31, 2019. A total of 302 patients (median age: 57 years [range, 23–84 years]; males [ n = 203; 67.2%]) were registered. Adenocarcinoma was the most common histology ( n = 225, 75%). The testing rate of epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) mutation analysis in stage IV adenocarcinoma ( n = 191) was 67% and 63%, respectively. Systemic therapy (chemotherapy/gefitinib) was started after a median of 62 days (range, 1–748) from presentation and 38 days (range, 1–219 days) from diagnosis. The median progression-free survival (PFS) and overall survival (OS) were 4.3 months (95% CI, 3.2–5.4) and 9.0 months (95% CI, 7.6–10.5), respectively in the 141 patient without targetable mutations who started palliative chemotherapy. Of the 58 patients who tested positive for EGFR mutation, 41 (71%) started an EGFR tyrosine kinase inhibitor (TKI), and the median PFS and OS in these patients were 8.5 months (95% CI, 5.6–11.4) and 18.4 months (95% CI, 12.2–24.6), respectively. Only 1 out of 10 patients with stage IV ALK -positive adenocarcinoma was started on ALK inhibitor. On multivariate analysis of OS for patients who started on palliative chemotherapy, response to first-line treatment, long distance from the center, use of second line therapy, and a delay of > 40 days from diagnosis to treatment predicted improved survival. Despite providing free diagnostic and treatment services, there was considerable delay in therapy initiation, and a significant proportion of treatment noninitiation and abandonment. Measures should be taken to understand and address the causes of these issues to realize the benefits of newer therapies The apparent paradox of improved survival in those with long delay in initiation of treatment could be explained based on a less aggressive disease biology.

DNMT3B regulates proliferation of A549 cells through the microRNA-152-3p/NCAM1 pathway

The purpose of the present study was to examine the epigenetic mechanism by which microRNA (miR)-152-3p regulates proliferation in non-small cell lung cancer A549 cells via neural cell adhesion molecule 1 (NCAM1). Bisulfite sequencing PCR (BSP), the gold standard for methylation detection, uses bisulfite-treated DNA to determine its pattern of methylation. Treatment of DNA with bisulfite converts cytosine residues to uracil, but leaves 5-methylcytosine residues unaffected. It was conducted and demonstrated a relatively high level of methylation in the miR-152-3p promoter region. Chromatin immunoprecipitation was combined with PCR to detect the binding of DNA methyltransferase 3B (DNMT3B) protein to miR-152-3p, which tends to occur in the core region of the miR-152-3p gene in A549 cells. Luciferase assay identified NCAM1 as the target gene of miR-152-3p. MTT, colony formation and Transwell assays indicated that miR-152-3p could decrease cell proliferation and invasion and in addition to reducing the expression level of NCAM1. Overexpression of NCAM1 could attenuate the effect of miR-152-3p. DNMT3B knockdown decreased the proliferative ability of A549 cells and increased the expression of miR-152-3p, while decreased that of NCAM1. After treatment with miR-152-3p inhibitor, these effects were attenuated and the NCAM1 expression level was upregulated. The results indicated that miR-152-3p may suppress the proliferation of A549 cells by downregulating NCAM1. In addition, DNMT3B negatively regulated the expression of miR-152-3p via modulation of the methylation level in the miR-152-3p core region, thus mediating the proliferation of lung tumor cells.

Subpopulations of Circulating Cells with Morphological Features of Malignancy Are Preoperatively Detected and Have Differential Prognostic Significance in Non-Small Cell Lung Cancer

Simple Summary

Lung cancer is by far the main cause of cancer-related deaths among both men and women. Early detection of malignant nodules and non-invasive monitoring of disease status is essential to increase the chance of cure. In this study, we analyzed the frequency and the biological features of circulating tumor cells, i.e., cells released from the tumor and in transit in the bloodstream, in patients with a diagnosis of non-small cell lung cancer undergoing surgical resection, with the aim to develop a blood-based diagnostic test and to promptly identify patients at risk of post-operative disease recurrence.

Abstract

Background: Non-small cell lung cancer (NSCLC) frequently presents when surgical intervention is no longer feasible. Despite local treatment with curative intent, patients might experience disease recurrence. In this context, accurate non-invasive biomarkers are urgently needed. We report the results of a pilot study on the diagnostic and prognostic role of circulating tumor cells (CTCs) in operable NSCLC. Methods: Blood samples collected from healthy volunteers (n = 10), nodule-negative high-risk individuals enrolled in a screening program (n = 7), and NSCLC patients (n = 74) before surgery were analyzed (4 mL) for the presence of cells with morphological features of malignancy enriched through the ISET^® technology. Results: CTC detection was 60% in patients, while no target cells were found in lung cancer-free donors. We identified single CTCs (sCTC, 46%) and clusters of CTCs and leukocytes (heterotypic clusters, hetCLU, 31%). The prevalence of sCTC (sCTC/4 mL ≥ 2) or the presence of hetCLU predicted the risk of disease recurrence within the cohort of early-stage (I–II, n = 52) or advanced stage cases (III–IVA, n = 22), respectively, while other tumor-related factors did not inform prognosis. Conclusions: Cancer cell hematogenous dissemination occurs frequently in patients with NSCLC without clinical evidence of distant metastases, laying the foundation for the application of cell-based tests in screening programs. CTC subpopulations are fine prognostic classifiers whose clinical validity should be further investigated in larger studies.

Adjuvant melatonin for the prevention of recurrence and mortality following lung cancer resection (AMPLCaRe): A randomized placebo controlled clinical trial

BACKGROUND

Despite curative intent resection in patients with non-small cell lung cancer (NSCLC), recurrence leading to mortality remains too common. Melatonin has shown promise for the treatment of patients with lung cancer; however, its effect following cancer resection has not been studied. We evaluated if melatonin taken after complete resection reduces lung cancer recurrence and mortality, or impacts quality of life (QOL), symptomatology or immune function.

METHODS

Participants received melatonin (20 mg) or placebo nightly for one year following surgical resection of primary NSCLC. The primary outcome was two-year disease-free survival (DFS). Secondary outcomes included five-year DFS, adverse events, QOL, fatigue, sleep, depression, anxiety, pain, and biomarkers assessing for immune function/inflammation. This study is registered at https://clinicaltrials.gov NCT00668707.

FINDINGS

709 patients across eight centres were randomized to melatonin (n = 356) versus placebo (n = 353). At two years, melatonin showed a relative risk of 1·01 (95% CI 0·83-1·22), p = 0·94 for DFS. At five years, melatonin showed a hazard ratio of 0·97 (95% CI 0·86-1·09), p = 0·84 for DFS. When stratified by cancer stage (I/II and III/IV), a hazard reduction of 25% (HR 0·75, 95% CI 0·61-0·92, p = 0·005) in five-year DFS was seen for participants in the treatment arm with advanced cancer (stage III/IV). No meaningful differences were seen in any other outcomes.

INTERPRETATION

Adjuvant melatonin following resection of NSCLC does not affect DFS for patients with resected early stage NSCLC, yet may increase DFS in patients with late stage disease. Further study is needed to confirm this positive result. No beneficial effects were seen in QOL, symptoms, or immune function.

FUNDING

This study was funded by the Lotte and John Hecht Memorial Foundation and the Gateway for Cancer Research Foundation.

Prognostic utility of inflammation-based biomarkers, neutrophil-lymphocyte ratio and change in neutrophil-lymphocyte ratio, in surgically resected lung cancers

BACKGROUND/OBJECTIVE:

Given the poor overall survival (OR) and progression-free survival (PFS) rates for lung cancers managed with surgical resection, there is a need to identify the prognostic markers that would improve the risk stratification of patients with operable lung cancer to inform treatment decisions. We investigate the prognostic utility of two established inflammation-based scores, the neutrophil–lymphocyte ratio (NLR) and the change in neutrophil–lymphocyte ratio (ΔNLR), throughout the operative period in a prospective cohort of patients with lung cancer who underwent surgical resection.

METHODS:

Demographic, clinical, and treatment details for 345 patients with lung cancer who underwent surgical resection between 2000 and 2019 at multiple centers across Melbourne, Victoria (Australia), were prospectively collected. Preoperative NLR and ΔNLR were calculated after which Cox univariate and multivariate analyses were conducted for OS and PFS against the known prognostic factors.

RESULTS:

Both univariate and multivariate analyses showed that preoperative NLR >4.54, as well as day 1 and day 2 postoperative NLR (P < 0.01), was associated with increased risk for postoperative mortality (hazard ratio 1.8; P < 0.01) and PFS (P < 0.05), whereas ΔNLR was not a significant predictor of OS or PFS.

CONCLUSION:

Elevated NLR among patients with lung cancer who underwent surgical resection was prognostic for poor OS and PFS, whereas ΔNLR was not found to be prognostic for either OS or PFS. Further research may yet reveal a prognostic value for ΔNLR when compared across a greater time period.

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.

Assessment of the Antitumor Potential of Umbelliprenin, a Naturally Occurring Sesquiterpene Coumarin

Cancer is one of the greatest causes of mortality worldwide. The prevalence rates of different types of cancer is increasing around the world as well. Limitations in chemotherapy and radiotherapy, owing to multiple side effects including cytotoxic effects of antitumor compounds on normal cells as well as the development of resistance to these treatment options in patients, create a serious threat to successful treatment of cancer. The use of natural compounds to prevent and treat cancers has been found to be quite effective, with fewer adverse effects found in patients. Umbelliprenin (UMB) is a naturally occurring sesquiterpene compound found in Ferula species and recently in Artemisia absinthium. Many studies have highlighted the antitumor potential of UMB in different cancer cell lines as well as in animal models. UMB exerts its anticancer actions by regulating extrinsic and intrinsic apoptotic pathways; causing inhibition of the cell cycle at the G0/G1 phase; and attenuating migration and invasion by modulating the Wnt signaling, NF-ĸB, TGFβ, and Fox3 signaling pathways. UMB also affects the key hallmarks of tumor cells by attenuating tumor growth, angiogenesis, and metastasis. This review provides an insight into the role of UMB as a potential antitumor drug for different malignancies and highlights the signaling cascades affected by UMB treatment in diverse tumor cell lines and preclinical models.

Clinical profile of lung cancer in North India: A 10-year analysis of 1862 patients from a tertiary care center

INTRODUCTION

Over the past few years, the demographic profile of lung cancer has changed. However, most reports are limited by small numbers, short follow-up period, and show an inconsistent pattern. A comprehensive evaluation of changing trends over a long period has not been done.

MATERIALS AND METHODS

Consecutive lung cancer patients were studied over a 10-year period from January 2008 to March 2018 at the All India Institute of Medical Sciences, New Delhi, and relevant clinical information, and survival outcomes were analyzed.

RESULTS

A total of 1862 patients were evaluated, with mean (SD) age of 59 (11.1) years, and comprising 82.9% males. Majority were smokers (76.2%) with median smoking index of 500 (interquartile range [IQR]: 300-800). Adenocarcinoma (ADC) was the most common type (34%), followed by squamous cell carcinoma (SCC - 28.6%) and small cell lung cancer (SCLC) (16.1%). Over the 10-year period, ADC increased from 9.5% to 35.9%, SCC from 25.4% to 30.6%, and non-small cell lung cancer -not otherwise specified (NSCLC-NOS) decreased from 49.2% to 21.4%. The proportion of females with lung cancer increased although smoking rates remained similar. Majority of NSCLC (95%) continued to be diagnosed at an advanced stage (3 or 4). Epidermal growth factor receptor (EGFR) mutations and anaplastic lymphoma kinase (ALK) rearrangements were present in 25.3% and 11.5% ADC patients, respectively. The median overall survival was 8.8 months (IQR 3.7-19) for all patients and 12.57 (IQR 6.2-28.7) months among the 1013 patients who were initiated on specific treatment (chemotherapy, targeted therapy, radiotherapy, or surgery). Never-smokers were younger, more likely to be female and educated, had a higher prevalence of ADC and EGFR/ALK mutations, and had better survival.

CONCLUSION

Among this large cohort, our center seems to follow the global trend with increasing incidence of ADC. EGFR mutation positivity was similar to existing reports, while higher ALK positivity was detected. A characteristic phenotype of never-smokers with lung cancer was elucidated which demonstrated better survival.

Development of a Survival Prognostic Model for Non-small Cell Lung Cancer

Lung cancer is a leading cause of cancer-related death, and >80% of lung cancer diagnoses are non-small-cell lung cancer (NSCLC). However, when using current staging and prognostic indices, the prognosis can vary significantly. In the present study, we calculated a prognostic index for predicting overall survival (OS) in NSCLC patients. The data of 545 NSCLC patients were retrospectively reviewed. Univariate and multivariate Cox proportional hazards regression analyses were performed to evaluate the prognostic value of clinicopathological factors. Age (hazard ratio [HR] = 1.25, 95% confidence interval [CI] = 1.02–1.54), TNM stage (III, HR = 1.64, 95% CI = 1.08–2.48; IV, HR = 2.33, 95% CI = 1.48–3.69), lung lobectomy (HR = 1.96, 95% CI = 1.45–2.66), chemotherapy (HR = 1.42, 95% CI = 1.15–1.74), and pretreatment hemoglobin level (HR = 1.61, 95% CI = 1.28–2.02) were independent prognosticators. A prognostic index for NSCLC (PInscl, 0–6 points) was calculated based on age (≥65 years, 1 point), tumor-node-metastasis (TNM) stage (III, 1 point; IV, 2 points), lung lobectomy (no, 1 point), chemotherapy (no, 1 point), and pretreatment hemoglobin level (low, 1 point). In comparison with the “PInscl = 0” subgroup (survival time = 2.71 ± 1.86 years), the “PInscl = 2” subgroup (survival time = 1.86 ± 1.24 years), “PInscl = 3” subgroup (survival time = 1.45 ± 1.07 years), “PInscl = 4” subgroup (survival time = 1.17 ± 1.06 years), “PInscl = 5” subgroup (survival time = 0.81 ± 0.78 years), and “PInscl = 6” subgroup (survival time = 0.65 ± 0.56 years) exhibited significantly shorter survival times. Kaplan-Meier survival analysis showed that patients with higher PInscl scores had poorer OS than those with lower scores (log-rank test: χ² = 155.82, P < 0.0001). The area under the curve of PInscl for predicting the 1-year OS was 0.73 (95 % CI = 0.69–0.77, P < 0.001), and the PInscl had a better diagnostic performance than the Karnofsky performance status or TNM stage (P < 0.01). In conclusion, the PInscl, which is calculated from age, TNM stage, lung lobectomy, chemotherapy, and pretreatment hemoglobin level, significantly predicted OS in NSCLC patients.

Joint Transcriptomic Analysis of Lung Cancer and Other Lung Diseases

Background: Epidemiological and clinical evidence points cancer comorbidity with pulmonary chronic disease. The acquisition of some hallmarks of cancer by cells affected with lung pathologies as a cell adaptive mechanism to a shear stress, suggests that could be associated with the establishment of tumoral processes. Objective: To propose a bioinformatic pipeline for the identification of all deregulated genes and the transcriptional regulators (TFs) that are coexpressed during lung cancer establishment, and therefore could be important for the acquisition of the hallmarks of cancer. Methods: Ten microarray datasets (six of lung cancer, four of lung diseases) comparing normal and diseases-related lung tissue were selected to identify hub differentiated expressed genes (DEGs) in common between lung pathologies and lung cancer, along with transcriptional regulators through the utilization of specialized libraries from R language. DAVID bioinformatics tool for gene enrichment analyses was used to identify genes with experimental evidence associated to tumoral processes and signaling pathways. Coexpression networks of DEGs and TFs in lung cancer establishment were created with Coexnet library, and a survival analysis of the main hub genes was made. Results: Two hundred ten DEGs were identified in common between lung cancer and other lung diseases related to the acquisition of tumoral characteristics, which are coexpressed in a lung cancer network with TFs, suggesting that could be related to the establishment of the tumoral pathology in lung. The comparison of the coexpression networks of lung cancer and other lung diseases allowed the identification of common connectivity patterns (CCPs) with DEGs and TFs correlated to important tumoral processes and signaling pathways, that haven´t been studied to experimentally validate their role in the early stages of lung cancer. Some of the TFs identified showed a correlation between its expression levels and the survival of lung cancer patients. Conclusion: Our findings indicate that lung diseases share genes with lung cancer which are coexpressed in lung cancer, and might be able to explain the epidemiological observations that point to direct and inverse comorbid associations between some chronic lung diseases and lung cancer and represent a complex transcriptomic scenario.

Five-year survival and prognostic factors according to histology in 6101 non-small-cell lung cancer patients

OBJECTIVE

To estimate five-year survival in non-small-cell lung cancer (NSCLC) patients according to histology and to identify independent prognostic factors by histology.

METHODS

Data were obtained during the KBP-2010-CPHG study, which included all new cases of primary lung cancer diagnosed in 2010 in 104 non-academic hospitals.

RESULTS

In all, 3199 patients had adenocarcinoma (ADC), 1852 squamous cell carcinoma (SCC), 754 large cell carcinoma (LCC). Five-year survival was 13.3% [12.1%-14.5%] for ADC, 14.3% [12.7%-16.0%] for SCC, 9.6% [7.6%-11.9%] for LCC (P<0.001). Performance status, weight loss prior to diagnosis and tumour stage were consistently significant independent prognostic factors. Age (>70 years; P=0.004), male gender (P<0.001), and smoking (P<0.001) were independent negative prognostic factors for ADC. Epidermal Growth Factor Receptor (EGFR)-mutation tests, performed in 1638 ADC patients, were positive for 186. Five-year survival was 14.7% [10.3%-21%] and 10.9% [9.4%-12.6%] for mutated and wild-type EGFR, respectively (P<0.001). EFGR mutation was an independent positive prognostic factor (HR=0.5 [0.4-0.6], P<0.001); however, the proportional hazards assumption was not fulfilled and hazards were inverted after 35 months.

CONCLUSIONS

Five-year survival in patients managed in French non-academic hospitals for primary NSCLC in 2010 remained poor (<15%), whatever the histologic type. The independent negative prognostic factors for five-year survival were: weight, particularly weight loss prior to diagnosis; smoking (active or former) at diagnosis in ADC and LCC and smoking level at diagnosis in smoker patients with SCC. The independent positive prognostic factors were young age and female gender for ADC.

Circulating tumor cells in pulmonary vein and peripheral arterial provide a metric for PD-L1 diagnosis and prognosis of patients with non-small cell lung cancer

Background

Lung cancer is the leading cause of death caused by malignant tumors. PD-L1(programmed cell death protein-1) has shown tremendous achievement in treating NSCLC. We sought to find the relationship between CTCs in the pulmonary vein and postoperative PFS, besides we detected PD-L1 in CTCs.

Method

We enrolled 112 NSCLC patients. CTC tests were performed at four time points (preoperative, pulmonary vein, intraoperative and postoperative) on every NSCLC patient who received surgery. The RNA of PD-L1 was tested by FISH. The levels of the PD-L1 mRNA and protein in tissue samples were detected.

Results

The CTCs in the PV were the highest (P< 0.001), and CTCs in the PPA were the lowest (P< 0.001). The PFS in the group with PV CTCs≥ 16/5 ml was shorter than that in the group with PV CTCs< 16/5 ml (11.1 months vs 21.2 months, respectively; P< 0.001). The PFS in the group with PPA CTCs≥ 3/5 ml was shorter than that in the group with CTCs< 3/5 ml (14.8 months vs 20.7 months, respectively; P< 0.001). The CTCs in stage I were lower than those in stage II-IV (P = 0.025). No linear relationship was found between the CTCs and tumor size (P> 0.05) or LN metastasis (P> 0.05). In total, fifty-two (50.5%) patients had positive PD-L1 expression in CTC. In PD-L1-positive CTC patients, the value of PD-L1 tissue expression was higher than that in PD-L1-negative CTC patients (P = 0.0153).

Conclusion

CTCs in the pulmonary vein can be an effective prognosis indicator of NSCLC patients.

Prognostic value of delta inflammatory biomarker-based nomograms in patients with inoperable locally advanced NSCLC

OBJECTIVE

Inflammation plays critical roles in tumor growth and progression, and can be adversely affected by chemotherapy and radiotherapy. However, there have been few studies on the prognostic value of delta (Δ) inflammatory biomarkers before and after chemoradiotherapy in patients with locally advanced non-small cell lung cancer (LA-NSCLC).

METHODS

In this study, pre/post-treatment and Δ inflammatory biomarkers of 370 patients who were diagnosed as having inoperable LA-NSCLC in Shandong Cancer Hospital between January 2005 and January 2016 were analyzed. Nomograms were then established for predicting prognosis.

RESULTS

Median overall survival (OS) and progression free survival (PFS) for all patients were 28.1 (range 1.9-129.0) months and 11.1 (range 1.7-58.7) months, respectively. The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) significantly increased and the lymphocyte-to-monocyte ratio (LMR) significantly decreased during the concurrent chemoradiotherapy course (P < 0.001, P < 0.001, and P < 0.001, respectively). Multivariate analysis revealed that pre-LMR, ΔNLR, and minimum absolute lymphocyte counts were independent predictors of OS (P = 0.027, P = 0.012, and P = 0.015, respectively) and post-LMR, post-NLR, and ΔNLR were independent predictors of PFS (P = 0.014, P = 0.001, and P = 0.036, respectively). Nomograms for OS and PFS were established by combining all significant inflammatory markers and clinicopathological characteristics. The concordance indexes for OS and PFS were 0.709 and 0.688, respectively.

CONCLUSION

Post-treatment and Δ inflammatory biomarkers may have more prognostic significance than baseline measurements of inflammatory biomarkers in LA-NSCLC patients. The proposed nomograms based on the dynamic inflammatory biomarkers and clinicopathological factors may be practical and widely available for evaluating the prognosis of patients with inoperable LA-NSCLC.

Proportional weight loss in six months as a risk factor for mortality in stage IV non-small cell lung cancer

Objective:

To evaluate different weight loss (WL) cut-off points as prognostic markers of 3-month survival after diagnosis of stage IV non-small cell lung cancer (NSCLC).

Methods:

This was a prospective study involving 104 patients with metastatic (stage IV) NSCLC who were admitted to a cancer treatment center in southern Brazil between January of 2014 and November of 2016. We evaluated total WL and WL per month, as well as WL and WL per month in the 6 months preceding the diagnosis. The patients were followed for 3 months after diagnosis. A Cox proportional hazards regression model and Kaplan-Meier curves were used in order to evaluate 3-month survival.

Results:

The median WL in the 6 months preceding the diagnosis was 6% (interquartile range, 0.0-12.9%). Patients with WL ≥ 5% had a median survival of 78 days, compared with 85 days for those with WL < 5% (p = 0.047). Survival at 3 months was 72% for the patients with WL ≥ 5% (p = 0.047), 61% for those with WL ≥ 10% (p < 0.001), and 45% for those with WL ≥ 15% (p < 0.001). In the multivariate analysis, the hazard ratio for risk of death was 4.51 (95% CI: 1.32-15.39) for the patients with WL ≥ 5%, 6.34 (95% CI: 2.31-17.40) for those with WL ≥ 10%, and 14.17 (95% CI: 5.06-39.65) for those with WL ≥ 15%.

Conclusions:

WL in the 6 months preceding the diagnosis of NSCLC is a relevant prognostic factor and appears to be directly proportional to the rate of survival at 3 months.

Evidence of slight improvement in five-year survival in non-small-cell lung cancer over the last 10 years: Results of the French KBP-CPHG real-world studies

BACKGROUND

Although improved during the last decades, the prognosis of lung cancer is poor. In 2000, the French College of general hospital respiratory physicians, conducted KBP-2000-CPHG, a prospective multicenter epidemiological study including all volunteer adult patients diagnosed for primary lung cancer; with the five-year survival as primary endpoint. The primary objective of KBP-2010-CPHG was to compare overall five-year survival data with KBP-2000-CPHG ones.

MATERIAL AND METHODS

All consecutive patients≥18 years of age with primary lung cancer diagnosed between 1st January and 31st December 2010 were included. The KBP-2010-CPHG protocol was approved by the advisory committee on research information processing in the health field (CCTIRS) on November 19, 2009.

RESULTS

Respectively, 5667 and 7051 patients were included in KBP-2000-CPHG and KBP-2010-CPHG. Five-year survival was improved: 12.7% [11.9%-13.5%] in 2010 versus 10.0% [9.2%-10.9%] in 2000 (P<0.001). Non-small-cell lung cancer showed improvement (13.8% [13.0%-14.8%] in 2010 versus 11.4% [10.5%-12.4%] in 2000; P<0.001); but not small-cell lung cancer (5.7% [4.4%-7.4%] in 2010 versus 3.3% [2.3%-4.7%] in 2000; P=0.56). The KBP-2010-CPHG study showed an overall 6% reduction in risk of death (HR=0.94 [0.89-0.98]; P=0.004).

CONCLUSIONS

Survival of patients with lung cancer improved over a 10-year period. This improvement was slight and limited to non-small-cell lung cancer, possibly partly because of 2010 advances in diagnosis and targeted therapy.

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.

Dyadic yoga program for patients undergoing thoracic radiotherapy and their family caregivers: Results of a pilot randomized controlled trial

OBJECTIVE

Thoracic radiotherapy (TRT) may result in toxicities that are associated with performance declines and poor quality of life (QOL) for patients and their family caregivers. The purpose of this randomized controlled trial was to establish feasibility and preliminary efficacy of a dyadic yoga (DY) intervention as a supportive care strategy.

METHODS

Patients with stage I to III non-small cell lung or esophageal cancer undergoing TRT and their caregivers (N = 26 dyads) were randomized to a 15-session DY or a waitlist control (WLC) group. Prior to TRT and randomization, both groups completed measures of QOL (SF-36) and depressive symptoms (CES-D). Patients also completed the 6-minute walk test (6MWT). Dyads were reassessed on the last day of TRT and 3 months later.

RESULTS

A priori feasibility criteria were met regarding consent (68%), adherence (80%), and retention (81%) rates. Controlling for relevant covariates, multilevel modeling analyses revealed significant clinical improvements for patients in the DY group compared with the WLC group for the 6MWT (means: DY = 473 m vs WLC = 397 m, d = 1.19) and SF-36 physical function (means: DY = 38.77 vs WLC = 30.88; d = .66) and social function (means: DY = 45.24 vs WLC = 39.09; d = .44) across the follow-up period. Caregivers in the DY group reported marginally clinically significant improvements in SF-36 vitality (means: DY = 53.05 vs WLC = 48.84; d = .39) and role performance (means: DY = 52.78 vs WLC = 48.59; d = .51) relative to those in the WLC group.

CONCLUSIONS

This novel supportive care program appears to be feasible and beneficial for patients undergoing TRT and their caregivers. A larger efficacy trial with a more stringent control group is warranted.

Quantitative severity of pulmonary emphysema as a prognostic factor for recurrence in patients with surgically resected non-small cell lung cancer

Background

Pulmonary emphysema is a major component of chronic obstructive pulmonary disease and lung cancer. However the prognostic significance of quantitative emphysema severity in patients with lung cancer is unclear. We analyzed whether numerical emphysema value is a prognostic factor for recurrence in patients with surgically resected non‐small cell lung cancer.

Methods

We quantified emphysema severity of the whole lung and regional lobes in 45 patients (mean age 68.0 years) using an automated chest computed tomography‐based program. Predictive factors for recurrence were investigated using a Cox proportional hazards model. Recurrence‐free and overall survival was compared after dichotomization of patients according to whole lung emphysema severity.

Results

The mean percentage emphysema ratio of the whole lung was 1.21 ± 2.04. Regional lobar emphysema severity was highest in the right middle lobe (1.93 ± 0.36), followed by right upper (1.35 ± 2.50), left upper (1.34 ± 2.12), left lower (1.05 ± 2.52), and right lower (0.78 ± 2.28) lobes. The low severity group showed significantly longer overall survival compared to the high severity group (log‐rank test, P = 0.018). Quantitative emphysema severity of the whole lung (hazard ratio 1.36; 95% confidence interval 1.0–1.73) and stage III (hazard ratio 6.17; 95% confidence interval 1.52–25.0) were independent predictors of recurrence after adjusting for age, gender, smoking status, and forced expiratory volume in one second.

Conclusion

The severity of whole lung emphysema was independently associated with recurrence. Patients with non‐small cell lung cancer and marginal pulmonary emphysema at lower severity survive longer after curative‐intent surgery.

Inhibition of yes-associated protein suppresses brain metastasis of human lung adenocarcinoma in a murine model

Yes‐associated protein (YAP) is a main mediator of the Hippo pathway and promotes cancer development and progression in human lung cancer. We sought to determine whether inhibition of YAP suppresses metastasis of human lung adenocarcinoma in a murine model. We found that metastatic NSCLC cell lines H2030‐BrM3(K‐ras^G12C mutation) and PC9‐BrM3 (EGFR^Δexon19 mutation) had a significantly decreased p‐YAP(S127)/YAP ratio compared to parental H2030 (K‐ras^G12C mutation) and PC9 (EGFR^Δexon19 mutation) cells (P < .05). H2030‐BrM3 cells had significantly increased YAP mRNA and expression of Hippo downstream genes CTGF and CYR61 compared to parental H2030 cells (P < .05). Inhibition of YAP by short hairpin RNA (shRNA) and small interfering RNA (siRNA) significantly decreased mRNA expression in downstream genes CTGF and CYR61 in H2030‐BrM3 cells (P < .05). In addition, inhibiting YAP by YAP shRNA significantly decreased migration and invasion abilities of H2030‐BrM3 cells (P < .05). We are first to show that mice inoculated with YAP shRNA‐transfected H2030‐BrM3 cells had significantly decreased metastatic tumour burden and survived longer than control mice (P < .05). Collectively, our results suggest that YAP plays an important role in promoting lung adenocarcinoma brain metastasis and that direct inhibition of YAP by shRNA suppresses H2030‐BrM3 cell brain metastasis in a murine model.

Circulating tumour cells as a potential screening tool for lung cancer (the AIR study): protocol of a prospective multicentre cohort study in France

INTRODUCTION

Lung cancer (LC) is the leading cause of death from cancer. Early diagnosis of LC is of paramount importance in terms of prognosis. The health authorities of most countries do not accept screening programmes based on low-dose chest CT (LDCT), especially in Europe, because they are flawed by a high rate of false-positive results, leading to a large number of invasive diagnostic procedures. These authorities advocated further research, including companion biological tests that could enhance the effectiveness of LC screening. The present project aims to validate early diagnosis of LC by detection and characterisation of circulating tumour cells (CTCs) in a peripheral blood sample taken from a prospective cohort of persons at high-risk of LC.

METHODS AND ANALYSIS

The AIR Project is a prospective, multicentre, double-blinded, cohort study conducted by a consortium of 21 French university centres. The primary objective is to determine the operational values of CTCs for the early detection of LC in a cohort of asymptomatic participants at high risk for LC, that is, smokers and ex-smokers (≥30 pack-years, quitted ≤15 years), aged ≥55 years, with chronic obstructive pulmonary disease (COPD). The study participants will undergo yearly screening rounds for 3 years plus a 1-year follow-up. Each round will include LDCT plus peripheral blood sampling for CTC detection. Assuming 5% prevalence of LC in the studied population and a 10% dropout rate, a total of at least 600 volunteers will be enrolled.

ETHICS AND DISSEMINATION

The study sponsor is the University Hospital of Nice. The study was approved for France by the ethical committee CPP Sud-Méditerranée V and the ANSM (Ministry of Health) in July 2015. The findings of the trial will be disseminated through peer-reviewed journals and national and international conference presentations.

TRIAL REGISTRATION NUMBER

NCT02500693.

New insights into stage and prognosis in small cell lung cancer: an analysis of 968 cases

Background

The French College of General Hospital Respiratory Physicians conducted two studies that consecutively included all patients followed in participating general hospitals for primary small cell (SCLC) or non-small cell (NSCLC) lung cancer diagnosed in 2000 and 2010. These studies allow descriptive statistics and outcome assessment for SCLC and NSCLC separately and comparison over a 10-year period.

Methods

A standardised form was completed for each patient at inclusion. Then, vital status was collected.

Results

In 2000 and 2010, 948 (15.5% female) and 968 (23.3%) SCLC patients, mainly heavy active- or former-smoker seniors, participated in these studies. One-year survival rate was 35.8% for SCLC vs. 44.8% for NSCLC in 2010 and 33.1% for SCLC in 2000. In 2010, in reference to stage 0-IIB (4.1% of SCLCs), the hazard ratio was 0.92 [95% confidence interval (CI): 0.6-1.5; P=0.76], 1.8 (95% CI: 1.1-2.8; P=0.019), and 3.4 (95% CI: 2.2-5.3; P<0.001) for stage IIIA (10.2%), IIIB (14.5%), and IV (71.2%). Positron emission tomography (PET)-scan use, which has increased in 10 years, was frequent in patients with limited disease.

Conclusions

One-year survival in SCLC patients was poor in 2010 and dependent of SCLC stage. TNM classification reintroduction and new diagnostic techniques (e.g., PET-scan) should allow lung oncologists to tailor treatment based on disease stage at diagnosis.

Decision support systems for incurable non-small cell lung cancer: a systematic review

BACKGROUND

Individually tailored cancer treatment is essential to ensure optimal treatment and resource use. Treatments for incurable metastatic non-small cell lung cancer (NSCLC) are evolving rapidly, and decision support systems (DSS) for this patient population have been developed to balance benefits and harms for decision-making. The aim of this systematic review was to inventory DSS for stage IIIB/IV NSCLC patients.

METHODS

A systematic literature search was performed in Pubmed, Embase and the Cochrane Library. DSS were described extensively, including their predictors, model performances (i.e., discriminative ability and calibration), levels of validation and user friendliness.

RESULTS

The systematic search yielded 3531 articles. In total, 67 articles were included after additional reference tracking. The 39 identified DSS aim to predict overall survival and/or progression-free survival, but give no information about toxicity or cost-effectiveness. Various predictors were incorporated, such as performance status, serum and inflammatory markers, and patient and tumor characteristics. Some DSS were developed for the entire incurable NSCLC population, whereas others were specifically for patients with brain or spinal metastases. Few DSS had been validated externally using recent clinical data, and the discrimination and calibration were often poor.

CONCLUSIONS

Many DSS have been developed for incurable NSCLC patients, but DSS are still lacking that are up-to-date with a good model performance, while covering the entire treatment spectrum. Future DSS should incorporate genetic and biological markers based on state-of-the-art evidence, and compare multiple treatment options to estimate survival, toxicity and cost-effectiveness.

[Prognostic factors of advanced stage non-small-cell lung cancer]

INTRODUCTION

Primary lung cancer is the leading cause of cancer death in men in the world. Although the introduction of new drugs, new therapeutic strategies and despite therapeutic advances, the prognosis is relatively improved during the last years.

AIM

To evaluate the prognosis of patients with locally advanced or metastatic non-small-cell lung cancer (NSCLC) and to identify prognostic factors at these stages.

METHODS

A retrospective study, including 140 cases of locally advanced or metastatic NSCLC diagnosed in our department between 2003 and 2013.

RESULTS

The average age was 61±10 years (35 to 90 years). Sex ratio was 18. The delays management were 80±25 days for presentation, 45±20 days for the diagnostic, while the treatment delay was 8±2.33 days. The cancer was at stage IIIA in 14%, IIIB in 27% and IV in 59%. Six months and one-year survival was between 50 and 74% and between 9 and 25%, respectively. Better survival was observed in patients with NSCLC on stage III, having better performance status, having comorbid conditions, with prolonged delays management, a short therapeutic delay and patients who received specific antitumor treatment.

CONCLUSION

The prognostic factors in locally advanced and metastatic NSCLC in our patients were: stage of cancer, performance status, comorbid conditions, delay of management and specific antitumoral treatment. These factors should be considered in the management of patients with advanced NSCLC.

Clinicopathological and prognostic significance of circulating tumor cells in patients with lung cancer: a meta-analysis

BACKGROUND

The prognostic significance of circulating tumor cells in patients with lung cancer is controversial. Therefore, we aimed to comprehensively and quantitatively assess the prognostic role of CTCs in patients with lung cancer.

METHODS

The relevant literature was searched using PubMed, the Cochrane database and the China National Knowledge Internet database (up to June 2016). Using Review Manager 5.1.2, a meta-analysis was performed using hazard ratio (HR), odds ratio (OR) and 95% confidence interval (CI) as effect values.

RESULTS

Thirty studies comprising 2,060 patients with lung cancer were analyzed. The pooled HR values showed that circulating tumor cells were significantly correlated with overall survival (HR =2.63, 95% CI [2.04, 3.39]) and progression-free survival (HR =3.74, 95% CI [2.49, 5.61]) in these patients. Further subgroup analyses were conducted and categorized by sampling time, detection method, and histological type; these analyses showed the same trend. The pooled OR values showed that circulating tumor cells were associated with non small cell lung cancer stage(OR = 2.11, 95% CI [1.42, 3.14]), small cell lung cancer stage (OR = 10.91, 95% CI [4.10, 29.06]), distant metastasis (OR =7.06, 95%CI [2.82, 17.66]), lymph node metastasis (OR =2.31, 95% CI [1.19,4.46]), and performance status(OR =0.42, 95%CI [0.22, 0.78]).

CONCLUSION

The detection of circulating tumor cells in the peripheral blood of patients with lung cancer can be indicative of a poor prognosis.

An Immunohistochemical Study of Anaplastic Lymphoma Kinase and Epidermal Growth Factor Receptor Mutation in Non-Small Cell Lung Carcinoma

INTRODUCTION

Lung cancer is one of the leading causes of cancer related death. Targeted treatment for specific markers may help in reducing the cancer related morbidity and mortality.

AIM

To study expression of Anaplastic Lymphoma Kinase (ALK)and Epidermal Growth Factor Receptor (EGFR) mutations in patients of Non-Small Cell Lung Cancer NSCLC, that are the targets for specific ALK inhibitors and EGFR tyrosine kinase inhibitors.

MATERIALS AND METHODS

Total 69 cases of histologically diagnosed NSCLC were examined retrospectively for immunohistochemical expression of EGFR and ALK, along with positive control of normal placental tissue and anaplastic large cell lymphoma respectively.

RESULTS

Of the NSCLC, Squamous Cell Carcinoma (SCC) accounted for 71.0% and adenocarcinoma was 26.1%. ALK expression was seen in single case of 60-year-old female, non-smoker with adenocarcinoma histology. EGFR expression was seen in both SCC (59.18%) and adenocarcinoma in (77.78%) accounting for 63.77% of all cases. Both ALK and EGFR mutation were mutually exclusive.

CONCLUSION

EGFR expression was seen in 63.77% of cases, highlighting the importance of its use in routine analysis, for targeted therapy and better treatment results. Although, ALK expression was seen in 1.45% of all cases, it is an important biomarker in targeted cancer therapy. Also, the mutually exclusive expression of these two markers need further studies to develop a diagnostic algorithm for NSCLC patients.

PD-L1 expression in basaloid squamous cell lung carcinoma: Relationship to PD-1+ and CD8+ tumor-infiltrating T cells and outcome

PD-1/PD-L1 inhibitors demonstrated durable clinical responses in patients with lung squamous cell carcinoma. However, the expression pattern of PD-L1 and the presence of CD8⁺ and PD-1⁺ tumor-infiltrating T cells in the basaloid variant of squamous cell carcinoma remain unknown. immunohistochemistry analysis of PD-L1 expression, with three recently validated monoclonal antibodies used in clinical trials (clones SP142, SP263, and 28-8), and detection of CD8⁺ and PD-1⁺ tumor-infiltrating T cells was performed on whole-tissue sections from 56 patients following surgery for basaloid squamous cell carcinoma. Data were correlated to clinicopathological parameters and outcome. Fair to poor concordance was observed between the SP142 vs SP263 clones, and SP142 vs 28-8 (κ range, 0.018-0.412), while the 28-8 and SP263 demonstrated a strong correlation in both the tumor cell and immune cell compartments (κ=0.883, and κ=0.721). Expression of PD-L1 correlated with a high content of CD8⁺ and PD-1⁺ tumor-infiltrating T cells when using SP142 (P=0.012; P=0.022), but not with SP263 or 28-8 (P=0.314; P=0.611). In the multivariate analysis, we found significantly better disease-free and overall survival rates for high PD-L1 expression with SP142, CD8⁺ and PD-1⁺ tumor-infiltrating T cells (P=0.003; P=0.007). No significant prognosis value was observed for SP263 and 28-8 clones, except a correlation between improved overall survival and SP263 in the univariate analysis (P=0.039), not confirmed in the multivariate model. In conclusion, we report that the expression of PD-L1 and the content of CD8⁺ and PD-1⁺ tumor-infiltrating T cells is an independent indicator of better outcome in basaloid squamous cell carcinoma patients, although the observed effect is dependent on the PD-L1 immunohistochemistry assay.

Correlation between status of epidermal growth factor receptor mutation and distant metastases of lung adenocarcinoma upon initial diagnosis based on 1063 patients in China

The study aimed to explore the correlations between status of epidermal growth factor receptor (EGFR) mutations and distant metastases. A total of 1063 patients with lung adenocarcinoma indentified with status of EGFR mutations from August 2010 to May 2015 at Shanxi Cancer Hospital were enrolled. 456 patients were confirmed with EGFR mutations. The associations among EGFR mutations, clinical factors, and distant metastases at initial diagnosis were evaluated. Patients harboring EGFR mutation were more likely to be female (P < 0.001), with no smoking history (P < 0.001), brain metastases (P = 0.029), and higher ECOG performance scores (P = 0.025). The correlation between EGFR mutation status and distant metastases showed statistical significance both in univariate (P = 0.022) and in multivariate analysis (OR 1.573, 95 % CI 1.202-2.059, P = 0.001) especially in brain metastases (OR 1.675, 95 % CI 1.132-2.479, P = 0.010) and lung metastases (OR 1.571, 59 % CI 1.101-2.243 P = 0.013). Furthermore, the 19del mutations showed associations with brain metastases (OR 1.586, 95 % CI 1.028-2.447, P = 0.037), and lung metastases (OR 1.587, 95 % CI 1.065-2.346, P = 0.023). The exon 21 point mutations showed statistically significant differences in liver metastases (OR 1.987, 95 % CI 1.094-3.067, P = 0.024). In conclusion, the EGFR mutations in lung adenocarcinoma patients were independently correlated with distant metastases. Subgroup analyses showed that patients harboring 19del mutations presented different distant metastases compared with those harboring 21 point mutaions.

Immune-associated proteins with potential in vivo anti-tumor activities are upregulated in lung cancer cells treated with umbelliprenin: A proteomic approach

Umbelliprenin (Umb), a natural coumarin, has demonstrated anti-tumor activities, both in vitro and particularly in vivo, in several types of cancer, including lung cancer. The present study aimed to identify molecular targets of Umb using a high-throughput approach. Lung cancer cell lines, QU-DB (large-cell lung carcinoma) and A549 (adenocarcinoma), were treated with Umb. Differentially-expressed proteins were identified using two-dimensional electrophoresis coupled to mass spectrometry. In the QU-DB cells, differential expression of proteins, including downregulation of the tumorigenic protein heat shock protein 90 kDa and upregulation of the potential anti-tumor proteins Nipsnap1 and glycine-tRNA ligase (GRS), suggested that Umb is a strong anti-tumor compound. In the A549 cells, differential expression of proteins indicated possible contradictory effects of Umbregarding tumorigenesis, which included downregulation of the tumorigenic protein cyclophilin and the tumor suppressor MST, and upregulation of stathmin (tumorigenic) and calreticulin. Calreticulun, in addition to GRS in QU-DB cells, stimulates anti-tumor immune responses in vivo. To the best of our knowledge, the present study is the first to use a high-throughput approach to identify targets of Umb in cancer. These molecular targets suggested that Umb may exhibit stronger in vitro anti-tumor activity against the large-cell carcinoma model than the adenocarcinoma model. Furthermore, it has been reported that Umb exhibits higher cytotoxicity against QU-DB cells than A549 cells in vitro, and significant Umb anti-tumor activity against lung cancer in vivo, which is consistent with previously published literature. In each cell type, immune-associated molecules were upregulated, indicating that this naturally occurring compound exhibits marked anti-tumor activity in vivo. However, further studies that investigate the effect of Umb in different in vitro models of cancer are required.

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.

Prognostic Factors in Stage III Non-Small-Cell Lung Cancer Patients

Aim: The objective of this study is to investigate prognostic factors affecting survival of patients undergoing concurrent or sequential chemoradiotherapy (CRT) for stage III non-small-cell lung cancer (NSCL). Methods and materials: We retrospectively reviewed the clinical records of 148 patients with advanced, inoperable stage III NSCLC, who were treated between 2007 and 2015. Results: The median survival was found to be 19 months and 3-year overall survival was 27%. Age (<65 vs ≥65 years, p=0.026), stage (IIIA vs IIIB, p=0.033), dose of radiotherapy (RT) (<60 vs ≥60 Gy, p=0.024) and treatment method (sequential chemotherapy+RT vs concurrent CRT , p=0.023) were found to be factors affecting survival in univariate analyses. Gender, histological subtype, weight loss during CRT, performance status, induction/consolidation chemotherapy and presence of comorbidities did not affect survival (p>0.050). Conclusion: Young age, stage IIIA, radiotherapy dose and concurrent chemoradiotherapy may positively affect survival in stage III NSCL cases.

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.

Dyspnea as a Prognostic Factor in Patients with Non-Small Cell Lung Cancer

PURPOSE

To investigate associations between dyspnea and clinical outcomes in patients with non-small cell lung cancer (NSCLC).

MATERIALS AND METHODS

From 2001 to 2014, we retrospectively reviewed the prospective lung cancer database of St. Paul's Hospital at the Catholic University of Korea. We enrolled patients with NSCLC and evaluated symptoms of dyspnea using modified Medical Research Council (mMRC) scores. Also, we estimated pulmonary functions and analyzed survival data.

RESULTS

In total, 457 NSCLC patients were enrolled, and 259 (56.7%) had dyspnea. Among those with dyspnea and whose mMRC scores were available (109 patients had no mMRC score), 85 (56.6%) patients had an mMRC score <2, while 65 (43.3%) had an mMRC score ≥2. Significant decreased pulmonary functions were observed in patients with dyspnea. In multivariate analysis, aging, poor performance status, advanced stage, low forced expiratory volume in 1 second (%), and an mMRC score ≥2 were found to be significant prognostic factors for patient survival.

CONCLUSION

Dyspnea could be a significant prognostic factor in patients with NSCLC.

Early mortality in lung cancer: French prospective multicentre observational study

BACKGROUND

Despite the progress seen in the last decade in diagnosis and treatment, lung cancer has still a bad prognosis and a substantial number of patients died within the weeks following diagnosis. The objective of this study was to quantify early mortality in lung cancer, to identify patients who are at high risk of early decease, and to describe their management in a real world.

METHODS

Prospective observational study including consecutively all adult patients managed for primary lung cancer histologically or cytologically diagnosed in 2010 in the respiratory medicine department of one of the participating French general hospitals. Patients and cancer characteristics and first therapeutic strategy were collected at diagnosis. Dates of death were obtained from investigators or town council of the patient's birth place. All fatal cases were considered regardless of the cause of the death. Multivariate logistic regression model was used to determine the factors significantly and independently associated with death at 1 and 3 months.

RESULTS

Seven thousand fifty-one patients from 104 centres were included in the study. Vital status was obtained for 6,981 patients. Respectively, 678 (9.7%) and 1,621 (23.2%) of the 6,981 patients with available data died within 1 and 3 months following diagnosis. As compared with the other patients, they were significantly older and frailer (based on performance status [PS] and recent weight loss) and more frequently reported stage IV tumour. Overall, 64.5% (1 month) and 42.8% (3 months) of patients had no cancer therapy and less than 1% were included in a therapeutic trial.

CONCLUSION

About one in four patients died within 3 months following lung cancer diagnosis. Early mortality mainly involves frail patients with advanced cancer and is associated with lack of cancer therapy. This supports the need for early diagnosis and clinical trials in this population. Reducing early mortality to give supplementary time to patients to organise the future is a major challenge for 21(st) century physicians.

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 Validated Prediction Model for Overall Survival From Stage III Non-Small Cell Lung Cancer: Toward Survival Prediction for Individual Patients

PURPOSE

Although patients with stage III non-small cell lung cancer (NSCLC) are homogeneous according to the TNM staging system, they form a heterogeneous group, which is reflected in the survival outcome. The increasing amount of information for an individual patient and the growing number of treatment options facilitate personalized treatment, but they also complicate treatment decision making. Decision support systems (DSS), which provide individualized prognostic information, can overcome this but are currently lacking. A DSS for stage III NSCLC requires the development and integration of multiple models. The current study takes the first step in this process by developing and validating a model that can provide physicians with a survival probability for an individual NSCLC patient.

METHODS AND MATERIALS

Data from 548 patients with stage III NSCLC were available to enable the development of a prediction model, using stratified Cox regression. Variables were selected by using a bootstrap procedure. Performance of the model was expressed as the c statistic, assessed internally and on 2 external data sets (n=174 and n=130).

RESULTS

The final multivariate model, stratified for treatment, consisted of age, gender, World Health Organization performance status, overall treatment time, equivalent radiation dose, number of positive lymph node stations, and gross tumor volume. The bootstrapped c statistic was 0.62. The model could identify risk groups in external data sets. Nomograms were constructed to predict an individual patient's survival probability (www.predictcancer.org). The data set can be downloaded at https://www.cancerdata.org/10.1016/j.ijrobp.2015.02.048.

CONCLUSIONS

The prediction model for overall survival of patients with stage III NSCLC highlights the importance of combining patient, clinical, and treatment variables. Nomograms were developed and validated. This tool could be used as a first building block for a decision support system.

Germline polymorphisms and survival of lung adenocarcinoma patients: a genome-wide study in two European patient series

In lung cancer, the survival of patients with the same clinical stage varies widely for unknown reasons. In this two-phase study, we examined the hypothesis that germline variations influence the survival of patients with lung adenocarcinoma. First, we analyzed existing genotype and clinical data from 289 UK-resident patients with lung adenocarcinoma, identifying 86 single nucleotide polymorphisms (SNPs) that associated with survival (p < 0.01). We then genotyped these candidate SNPs in a validation series of 748 patients from Italy that resulted genetically compatible with the UK series based on principal component analysis. In a Cox proportional hazard model adjusted for age, sex and clinical stage, four SNPs were confirmed on the basis of their having a hazard ratio (HR) indicating the same direction of effect in the two series and p < 0.05. The strongest association was provided by rs2107561, an intronic SNP of PTPRG, protein tyrosine phosphatase, receptor type, G; the C allele was associated with poorer survival in both patient series (pooled analysis loge HR = 0.31; 95% CI: 0.15-0.46, p = 8.5 × 10(-5) ). PTPRG mRNA levels in 43 samples of lung adenocarcinoma were 40% of those observed in noninvolved lung tissue from the same patients. PTPRG overexpression significantly inhibited the clonogenicity of A549 lung carcinoma cells and the anchorage-independent growth of the NCI-H460 large cell lung cancer line. These four germline variants represent promising candidates that, with further study, may help predict clinical outcome. In addition, the PTPRG locus may have a role in tumor progression.

[S.AGES Study. Collection and follow-up of new sleep apnea cases in patients over 70 years of age and diagnosed in pulmonary and geriatric units]

RATIONALE

S.AGES is a prospective cohort of >70-years-old patients with obstructive sleep apnea syndrome having been diagnosed in a pulmonary or a geriatric medical unit.

OBJECTIVES

The main objective of S.AGES is to get a description of older patients with OSAS in France. The secondary objectives will be to prospectively describe the management and the treatment of these patients, to describe their 5-years outcome as compared to younger patients in the literature. It will also contribute to better characterize the compliance and tolerance of the treatment and the incidence of comorbidities like respiratory diseases and cardiovascular disorders.

METHODS

All consecutive ≥70-years-old patients having received a diagnosis of OSAS (after polygraphy or polysomnography) will be included in the study. All patients will be followed in a pulmonary or a geriatric department.

EXPECTED RESULTS

S.AGES should better characterize the OSAS in the elderly patients, the specific management of this disease and its related risk factors. It may also identify the 5-years mortality and morbidity rates in this population.