Epidemiology of lung cancer prognosis: quantity and quality of life

Development of a Serum Metabolome-Based Test for Early-Stage Detection of Multiple Cancers

BACKGROUND

Detection of cancer at the early stage currently offers the only viable strategy for reducing disease-related morbidity and mortality. Various approaches for multi-cancer early detection are being explored, which largely rely on capturing signals from circulating analytes shed by tumors into the blood. The fact that biomarker concentrations are limiting in the early stages of cancer, however, compromises the accuracy of these tests. We, therefore, adopted an alternate approach that involved interrogation of the serum metabolome with machine learning-based data analytics. Here, we monitored for modulations in metabolite patterns that correlated with the presence or absence of cancer. Results obtained confirmed the efficacy of this approach by demonstrating that it could detect a total of 15 cancers in women with an average accuracy of about 99%.

AIMS

To further increase the scope of our test, we conducted an investigator-initiated clinical trial involving a total of 6445 study participants, which included both cancer patients and non-cancer volunteers. Our goal here was to maximize the number of cancers that could be detected, while also covering cancers in both females and males.

METHODS AND RESULTS

Metabolites extracted from individual serum samples were profiled by ultra-performance liquid chromatography coupled to a high-resolution mass spectrometer using an untargeted protocol. After processing, the data were analyzed by our cancer detection machine-learning algorithm to differentiate cancer from non-cancer samples. Results revealed that our test platform could indeed detect a total of 30 cancers, covering both females and males, with an average accuracy of ~98%. Importantly, the high detection accuracy remained invariant across all four stages of the cancers.

CONCLUSION

Thus, our approach of integrating untargeted metabolomics with machine learning-powered data analytics offers a powerful strategy for early-stage multi-cancer detection with high accuracy.

TRIAL REGISTRATION

Registration No: CTRI/2023/03/050316.

Unveiling ficolins: diagnostic and prognostic biomarkers linked to the Tumor Microenvironment in Lung Cancer

BACKGROUND

Ficolins (FCNs) are a family of proteins, comprising FCN1, FCN2 and FCN3, and integral to the immune system which have been implicated in the onset and progression of tumors. Despite their recognized roles, a comprehensive analysis of FCNs in lung cancer remains elusive.

METHODS

We employed a variety of bioinformatics tools, including UCSC, SangerBox, Ualcan, cBioPortal, String, Metascape, GeneMANIA, TIDE, CTD, and CAMP databases to investigate the differential expression, diagnostic and prognostic significance, genetic alterations, functional enrichment, immune infiltration, and potential immunotherapeutic implications of FCN1, FCN2, and FCN3 in lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD). Additionally, RT-qPCR and immunohistochemistry were utilized to validate the expressions of FCNs at the mRNA and protein levels in LUSC and LUAD.

RESULTS

Our comprehensive bioinformatic analysis, supported by RT-qPCR and immunohistochemistry, revealed that the expressions of FCN1, FCN2 and FCN3 were consistently downregulated in both LUSC and LUAD tumor tissues. FCNs demonstrated significant diagnostic potential for LUSC and LUAD, with the area under the receiver operating characteristic curve (AUC) for FCN1 and FCN3 exceeding 0.90. Furthermore, FCN2 and FCN3 showed a strong negative correlation with overall survival (OS) in LUSC, whereas FCN1 and FCN2 were positively correlated with OS in LUAD, suggesting their prognostic value in lung cancer. Gene enrichment analysis indicated that FCNs were predominantly associated with the complement system and complement activation pathways. Immune infiltration analysis further revealed a significant positive correlation between FCNs and the presence of neutrophils and resting mast cells. Our analysis of immunotherapy outcomes revealed a significant disparity in the immunophenoscore (IPS) among lung cancer patients treated with immune checkpoint inhibitors (ICIs), distinguishing those with high FCN expression from those with low FCN expression. Additionally, we identified small molecule compounds related to FCNs and drugs pertinent to LUSC and LUAD.

CONCLUSION

FCNs held promise as diagnostic and prognostic biomarkers for LUSC and LUAD. This study also elucidated the relationship of FCNs with the tumor microenvironment, offering novel insights into the immunotherapeutic landscape for LUSC and LUAD.

Incorporation of Functional Lung Imaging Into Radiation Therapy Planning in Patients With Lung Cancer: A Systematic Review and Meta-Analysis

Our purpose was to provide an understanding of current functional lung imaging (FLI) techniques and their potential to improve dosimetry and outcomes for patients with lung cancer receiving radiation therapy (RT). Excerpta Medica dataBASE (EMBASE), PubMed, and Cochrane Library were searched from 1990 until April 2023. Articles were included if they reported on FLI in one of: techniques, incorporation into RT planning for lung cancer, or quantification of RT-related outcomes for patients with lung cancer. Studies involving all RT modalities, including stereotactic body RT and particle therapy, were included. Meta-analyses were conducted to investigate differences in dose-function parameters between anatomic and functional RT planning techniques, as well as to investigate correlations of dose-function parameters with grade 2+ radiation pneumonitis (RP). One hundred seventy-eight studies were included in the narrative synthesis. We report on FLI modalities, dose-response quantification, functional lung (FL) definitions, FL avoidance techniques, and correlations between FL irradiation and toxicity. Meta-analysis results show that FL avoidance planning gives statistically significant absolute reductions of 3.22% to the fraction of well-ventilated lung receiving 20 Gy or more, 3.52% to the fraction of well-perfused lung receiving 20 Gy or more, 1.3 Gy to the mean dose to the well-ventilated lung, and 2.41 Gy to the mean dose to the well-perfused lung. Increases in the threshold value for defining FL are associated with decreases in functional parameters. For intensity modulated RT and volumetric modulated arc therapy, avoidance planning results in a 13% rate of grade 2+ RP, which is reduced compared with results from conventional planning cohorts. A trend of increased predictive ability for grade 2+ RP was seen in models using FL information but was not statistically significant. FLI shows promise as a method to spare FL during thoracic RT, but interventional trials related to FL avoidance planning are sparse. Such trials are critical to understanding the effect of FL avoidance planning on toxicity reduction and patient outcomes.

Bedside physician led US-guided supra-clavicular lymph node biopsy and ROSE (rapid on-site evaluation): SVC obstruction swift management in lung cancer

Superior vena cava obstruction (SVCO) is an oncological emergency and can often be linked to an underlying lung malignancy. Due to the potential life-threatening risks associated with SVCO, it necessitates urgent diagnosis and management. In this report, we discuss 3 case studies where the use of ultrasound-guided supraclavicular lymph node biopsy was used to obtain a biopsy from patients with SVCO, followed by rapid on-site evaluation (ROSE). The benefits of this technique ensure a more rapid histological diagnosis, while also involving a less invasive procedure for the patient. The histological diagnosis is essential in improving patient outcomes when treating those with SVCO as the recommended treatments vary depending on the underlying type of lung malignancy. Having this information can help the clinician swiftly employ the optimal treatment pathway for the patient.

Characteristics and patient-reported outcomes of long-term lung cancer survivors

Background

Due to advances in screening and treatment of lung cancer, there has been increased interest in long-term lung cancer survivors (LTLCS). The aim of this study was to evaluate the prevalence of LTLCS, their characteristics and patient-reported outcomes (PROs) of LTLCS.

Methods

Cross-sectional study that included patients diagnosed with primary lung cancer between Jan 2012 and Dec 2016 whose overall survival (OS) was greater than 5 years. A self-administered questionnaire was applied, including European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core-30 (EORTC QLQ-C30), Patient Health Questionnaire-4 (PHQ-4) and two open questions regarding quality of life (QoL) and suggestions for improvements. Factors potentially related to QoL were analysed.

Results

Of 767 lung cancer patients, 158 (20.6%) were LTLCS and LTLCS' proportion increased yearly. Most patients were male (70.9%) with median age of 65 [interquartile range (IQR), 56-71] years. Fifty-seven percent had adenocarcinoma, 66.2% were diagnosed at early stages but 8.9% were at stage IV. During follow-up, 77.1% quitted smoking, 31.8% had disease progression/relapse and 15.2% developed other tumours. Of all living LTLCS, 100 (85%) patients answered the PROs questionnaire. The median Global Health score was 66.67 (IQR, 50-83), social functioning had the best score and emotional functioning the worst. Pain and fatigue were the symptoms with the worst impact on QoL. PHQ-4 identified mental distress in 36% and patients with a lower QoL were more likely to present anxiety (35.3% vs. 9.4%, P=0.007) or depression (27.9% vs. 3%, P=0.006). In the open questions, patients reported pain (17%), lack of familiar/financial support (16%), dyspnoea (14%), depression (8%), concern for the future (8%) and limitations performing daily activities (8%) as the aspects with most impact in QoL. The most suggested measures were improvement of care provided by health institutions (25%) and better social support (16%).

Conclusions

Prevalence of LTLCS is increasing and survivors may experience a high prevalence of anxiety and depression as well as a high disease burden affecting QoL. Therefore, it's important to provide multidisciplinary continuous patient-centred care and a careful follow-up for all lung cancer patients, including LTLCS.

Robotic bronchoscopy: potential in diagnosing and treating lung cancer

INTRODUCTION

Lung cancer remains the deadliest form of cancer in the world. Screening through low-dose CT scans has shown improved detection of pulmonary nodules; however, with the introduction of robotic bronchoscopy, accessing and biopsying peripheral pulmonary nodules from the airway has expanded. Improved diagnostic yield through enhanced navigation has made robotic bronchoscopy an ideal diagnostic technology for many proceduralists. Studies have demonstrated that robotic bronchoscopes can reach further with improved maneuverability into the distal airways compared to conventional bronchoscopes.

AREAS COVERED

This review paper highlights the literature on the technological advancements associated with robotic bronchoscopy and the future directions the field of interventional pulmonary may utilize this modality for in the treatment of lung cancer. Referenced articles were included at the discretion of the authors after a database search of the particular technology discussed.

EXPERT OPINION

As the localization of target lesions continues to improve, robotic platforms that provide reach, stability, and accuracy paves the way for future research in endoluminal treatment for lung cancer. Future studies with intratumoral injection of chemotherapy and immunotherapy and ablation modalities are likely to come in the coming years.

Assessment of survival outcomes among lung cancer patients at the National and Referral Hospital in Kenya

INTRODUCTION

Lung cancer has a low overall survival rate linked to late diagnosis and metastasis. Unfortunately, comprehensive data within the African continent are limited due to the lack of a registry, low public awareness of lung cancer, financial constraints, and inadequate screening and treatment facilities. In addition, there was a lack of conclusive data in our setting. Therefore, this study aimed to assess survival outcomes among lung cancer patients at Kenyatta National Hospital.

METHODS

A hospital-based retrospective cohort study was performed to examine the survival outcomes of 151 lung cancer patients. All eligible lung cancer patients diagnosed and treated in the facility between January 1, 2018, and December 31, 2020, were included. The patients were retrospectively followed from the date of primary cancer diagnosis until death or the last follow-up period. The Statistical Package for the Social Sciences (SPSS) version 20.0 statistical software was used to enter and analyze the data. Kaplan-Meier survival and Cox regression analysis were employed to determine median survival and predictors of mortality, respectively.

RESULTS

The mean and median follow-time was 18.2 and 17.5 months, respectively. Most (98%) of the patients had non-small cell lung cancer. The 2-year survival rate was 66.7%, with 59.6% of patients having developed distant metastasis during the follow-up, while 25.1% were deceased. The median cancer-specific survival time among the study population was 18.0 ± 3.40 months. Cox regression analyses showed that patients with distant metastasis had five times more risk of dying (AHR: 4.74, 95% CI: 2.1-10.8, p < 0.001) than patients without distant metastasis.

CONCLUSIONS

The overall two-year survival rate of lung cancer patients at the Kenyatta National Hospital was 66.7%, with most patients developed distant metastasis during the follow-up period. Distant metastasis was the only significant predictor of mortality among lung cancer patients in our setting.

Cost-effectiveness of nivolumab plus ipilimumab as first-line treatment for American patients with unresectable malignant pleural mesothelioma

Background

The treatment paradigm of unresectable malignant pleural mesothelioma (MPM) has changed in recent years. Checkmate 743 demonstrate that nivolumab plus ipilimumab showed good clinical benefits compared with chemotherapy in the treatment of MPM. The study is aim to evaluate the cost-effectiveness of Nivolumab plus ipilimumab vs. platinum plus chemotherapy for the first-line treatment of unresectable MPM.

Methods

A Markov model was developed to compare the cost and quality-adjusted life-year (QALY) of nivolumab plus ipilimumab and chemotherapy over a 10-year time horizon. Clinical efficacy and safety data were extracted from the CheckMate 743 trials. Health state utilities were obtained from published literature. Costs were collected from an US payer perspective. One-way and probabilistic sensitivity analyses were conducted to explore the impact of uncertainties on the cost-effectiveness's results.

Results

In the base case analysis, the incremental healthcare costs and QALYs for Nivolumab plus Ipilimumab vs. chemotherapy are $196,604.22 and 0.53, respectively, resulting an incremental cost-effectiveness ratio (ICER) of $372,414.28/QALYs for the model cohort of patients with locally advanced or metastatic MPM. However, Probabilistic sensitivity analysis showed that there was no probability that Nivolumab plus ipilimumab was cost-effective within the fluctuation range of other model parameters in first-line in unresectable MPM. The results of one-way sensitivity analysis showed that the cost of Nivolumab was the most sensitive parameter.

Conclusions

The ICER of Nivolumab plus ipilimumab is above the theoretical willingness-to-pay threshold in the U.S, which suggests that first-line nivolumab plus ipilimumab for unresectable MPM may be not a cost-effective choice.

Cost-Effectiveness Analysis of Atezolizumab Versus Durvalumab as First-Line Treatment of Extensive-Stage Small-Cell Lung Cancer in the USA

BACKGROUND AND OBJECTIVES

Durvalumab and atezolizumab are approved as first-line therapy in extensive-stage small-cell lung cancer. Although cost-effectiveness analyses compared these immunotherapy drugs with standard chemotherapy-alone regimens, no head-to-head cost-effectiveness comparisons for these treatments exist. The aim of the present analysis is to determine the cost-effectiveness of durvalumab and atezolizumab as first-line therapy for extensive-stage small-cell lung cancer from the US payers' perspective.

METHODS

This study is based on two placebo-controlled, phase 3 clinical trials: CASPIAN and IMpower133. A Markov model was developed to simulate the three health states: progression-free survival, progressed disease, and death in patients with extensive-stage small-cell lung cancer. Transition probabilities were estimated from the clinical trial survival curves and extended with life-time modelling. Health utilities and direct costs of adverse event treatment were included. Main outcome was the incremental cost-effectiveness ratio (ICER) using quality-adjusted life-years saved (QALYS). Sensitivity analysis was performed to assess the impact of variables on the ICER.

RESULTS

Durvalumab group has a cost of $187,503 with an effectiveness of 1.08 while atezolizumab has a cost of $160,219 and an effectiveness of 0.932. Durvalumab is not cost-effective compared to atezolizumab with an ICER of $165,182 QALYS, which is over the willingness-to-pay threshold of $150,000. The model was most sensitive to durvalumab cost and the cost of treating durvalumab adverse effects.

CONCLUSIONS

With the ICER of durvalumab treatment group being very close to $150,000, setting a higher willingness-to-pay threshold or decreasing the drug cost through contract pricing can increase the cost-effectiveness of durvalumab compared to atezolizumab.

Cost-effectiveness of immune checkpoint inhibitors in the treatment of non-small-cell lung cancer as a second line in Taiwan

Objectives: To evaluate the cost-effectiveness of immune checkpoint inhibitors versus docetaxel in patients with advanced non-small-cell lung cancer. Methods: A Markov model was constructed to simulate the clinical outcomes and costs of advanced non-small-cell lung cancer. Clinical outcomes data were derived from randomized clinical trials. Drug acquisition cost and other health resource use were obtained from the claim data of a tertiary hospital and the National Health Insurance. The outcome was an incremental cost-effectiveness ratio expressed as cost per quality-adjusted life year gained. One-way and probabilistic sensitivity analyses were performed to evaluate the uncertainty of the model parameters. Results: In the base case, patients treated with immunotherapies in the second line were associated with higher costs and higher mean survival. The incremental costs per quality-adjusted life year gained for pembrolizumab, nivolumab, or atezolizumab compared to docetaxel were NT$416,102, NT$1,572,912 and NT$1,580,469, respectively. Conclusion: The results showed that pembrolizumab was more cost effective than nivolumab and atezolizumab compared with docetaxel as a second-line regimen for patients with previously treated advanced non-small-cell lung cancer at willingness to pay threshold in Taiwan.

Nutrient supplements from selected botanicals mediated immune modulation of the tumor microenvironment and antitumor mechanism

Specific extracts of selected vegetables (SV) have been shown to benefit the survival of stage IIIb/IV non-small cell lung cancer patients in phase I/II studies and is currently in a phase III trial. However, the underlying mechanism of SV-mediated antitumor immune responses has not been elucidated. Our results indicate that SV modulated the NK and adoptive T cell immune responses in antitumor efficacy. Furthermore, antitumor effects of SV were also mediated by innate myeloid cell function, which requires both TLR and β-glucan signaling in a MyD88/TRIF and Dectin-1-dependent manner, respectively. Additionally, SV treatment reduced granulocytic myeloid-derived suppressor cell (MDSC) infiltration into the tumor and limited monocytic MDSC toward the M2-like functional phenotype. Importantly, SV treatment enhanced antigen-specific immune responses by augmenting the activation of antigen-specific TH1/TH17 cells in secondary lymphoid organs and proliferative response, as well as by reducing the Treg population in the tumor microenvironment, which was driven by SV-primed activated M-MDSC. Our results support the idea that SV can subvert immune-tolerance state in the tumor microenvironment and inhibit tumor growth. The present study suggests that features, such as easy accessibility, favorable clinical efficacy, no detectable side effects and satisfactory safety make SV a feasible, appealing and convincing adjuvant therapy for the treatment of cancer patients and prevent tumor recurrence and/or metastases.

First-line pembrolizumab with or without platinum doublet chemotherapy in non-small-cell lung cancer patients with PD-L1 expression ≥50

Pembrolizumab plus chemotherapy is currently used in the first-line treatment of advanced non-small-cell lung cancer without EGFR mutations or ALK rearrangements, regardless of PD-L1 expression status. A study comparing chemotherapy plus pembrolizumab versus pembrolizumab alone has never been performed in patients with PD-L1 ≥50%. The aim of this trial is to perform such a comparison as first-line treatment in patients not eligible for locally advanced treatment who have expression of PD-L1 on ≥50% of tumor cells. The expected results are a reduction in the risk of early progression. A higher objective tumor response is also expected with the combination of chemotherapy and pembrolizumab compared with pembrolizumab alone. The study will allow a direct comparison of the proportion of patients who derive long-term benefit from the treatment. Clinical trial number: EudraCT (2020-002626-86); ClinicalTrials.gov (NCT04547504).

The Role of Nutritional Support in Malnourished Patients With Lung Cancer

This review aimed to aggregate and describe the available data about clinical nutrition in lung cancer and the role of the dietitian in multidisciplinary patient care. Scientific literature was searched in order to summarize key aspects related to clinical nutrition in lung cancer. This information can be used to arrange a proper nutritional therapy that can enhance patient treatment responses, prevent side-effects, shorten recovery time, improve prognosis and increase quality of life. An anti-inflammatory diet rich in antioxidants, immunomodulatory compounds, dietary fibre and an appropriate intake of protein can reduce the risk of initiation and progression of lung cancer, support the regeneration of tissues (also after surgery) and improve the nutritional status during the disease and after remission. A correct intake of nutrients is significant prior to disease occurrence and at every stage of treatment and recovery.

Mediterranean Diet Implementation to Protect against Advanced Lung Cancer Index (ALI) Rise: Study Design and Preliminary Results of a Randomised Controlled Trial

The Mediterranean diet (MD) has been inversely associated with lung cancer (LC) risk. Hereby we show the preliminary results of our prospective randomised controlled trial in inflammatory and nutritional status of LC patients after 3-month implementation of MD. In total, 30 patients with small-cell or non-small-cell LC (stages III–IV) were enrolled. They were randomly assigned either to Control group, receiving general nutritional guidelines, or the MD group, in which a personalised MD plan was provided. Medical and dietary history, anthropometrics, blood biomarkers, and circulating antioxidant vitamins were assessed. The main outcome was a significantly higher advanced lung cancer inflammation index (ALI) in patients of the control arm than those following MD (p = 0.003). In the MD group, platelets were significantly reduced at the study endpoint (p = 0.044). BMI and body fat mass remained unchanged in both arms, but serum glucose was significantly higher in control compared to MD group (p = 0.017). In conclusion, we showed for the first time that implementing a personalised MD for 3 months is promising to regulate prognostic biomarkers in advanced LC. The final results of our on-going trial will shed a light on the inflammatory, antioxidant and nutritional status of LC patients following MD.

Does Delaying Time in Cancer Treatment Affect Mortality? A Retrospective Cohort Study of Korean Lung and Gastric Cancer Patients

The aim of this study is to investigate the association between delays in surgical treatment and five- and one- year mortality in patients with lung or gastric cancer. The National Health Insurance claims data from 2006 to 2015 were used. The association between time to surgical treatment, in which the cut-off value was set at average time (30 or 50 days), and five year mortality was analyzed using the Cox proportional hazard model. Subgroup analysis was performed based on treatment type and location of medical institution. A total of 810 lung and 2659 gastric cancer patients were included, in which 74.8% of lung and 71.2% of gastric cancer patients received surgery within average. Compared to lung cancer patients who received treatment within 50 days, the five-year (HR 1.826, 95% CI 1.437–2.321) mortality of those who received treatment afterwards was higher. The findings were not significant for gastric cancer based on the after 30 days standard (HR: 1.003, 95% CI: 0.822–1.225). In lung cancer patients, time-to-treatment and mortality risk were significantly different depending on region. Delays in surgical treatment were associated with mortality in lung cancer patients. The findings imply the importance of monitoring and assuring timely treatment in lung cancer patients.

Assessment of lung cancer risk factors and mortality in Qatar: A case series study

BACKGROUND

The global burden of cancer has exponentially increased over the last few years. In 2018 alone, approximately more than half of the 18.1 million individuals who had cancer succumbed to it. Lung cancer cases and fatalities are particularly on the rise. Therefore, exploring the factors surrounding lung cancer mortality is of utmost importance.

AIMS

We investigate the clinicopathological and epidemiological characteristics of patients with lung cancer undergoing treatments, and their 5-year survival rates from a case series study in Qatar.

METHODS AND RESULTS

All patients' data (between January 2010 and December 2014) in this case series study were retrieved from Al-Amal Hospital database. Kaplan-Meier survival plots, life tables and Cox regression were utilized for the statistical analysis. A total of 229 lung cancer patients were included in this study; of which 23.6% are Qatari (40 males and 14 females) and 76.4% non-Qatari (133 males and 42 females). Approximately 57.6% of our patients received at least one type of treatment. We observe a 5-year survival rate of 9.4% in our patient cohort. We also observe other predictive factors, such as distant metastasis (adjusted hazards ratio, HR = 2.414, 95% CI: 1.035-5.632), smoking status (adjusted HR = 3.909, 95% CI: 1.664-9.180) and the treatment history (adjusted HR = 0.432, 95% CI: 0.270-0.691), to be significant.

CONCLUSION

Lung cancer is a prevalent health condition in Qatar, particularly owing to the rising use of tobacco in the country. The survival rate for lung cancer patients in this country is lower, compared to the global average. Moreover, several factors such as distant metastasis, smoking status, and treatment history are associated with lung cancer survival in Qatar.

Survival analysis and factors affecting survival in patients who presented to the medical oncology unit with non-small cell lung cancer

Background/aim

This study aimed to investigate the effect of clinical and pathological indicators at the time of the diagnosis on overall survival in patients recently diagnosed with non-small cell lung cancer.

Materials and methods

The study population consisted of patients who were diagnosed at the Faculty of Medicine at Isparta Süleyman Demirel University Hospital between January 1, 2010 and December 31, 2017 and presented to the medical oncology outpatient clinic.

Results

A total of 518 patients were evaluated, including 260 patients with squamous cell carcinoma, 207 patients with adenocarcinoma, 50 patients with non-small cell lung cancer-not otherwise specified, and 1 patient with large cell carcinoma. The average life expectancy was found to be 11.50 ± 1.40 months in patients with squamous cell carcinoma, 12.60 ± 1.59 months in patients with adenocarcinoma, and 8.70 ± 1.87 months in the other patients. The estimated 5-year relative survival rate for non-small cell lung cancer was 8% (7% for men and 18% for women). In the multivariate analysis, sex being male (HR, 2.41; P < 0.001), a performance status >2 (HR, 1.70; P < 0.001), the stage of cancer (HR, 1.37; P = 0.045), the presence of bone or liver metastasis (HR, 1.44, P = 0.009, HR, 1.57; P = 0.016, respectively), and the patient not having received radiotherapy (HR, 3.25; P < 0.001) or chemotherapy (HR, 1.85; P = 0.001) were defined as statistically significant predictive factors that reduced the overall survival.

Conclusions

In this study, sex, stage, performance status, the presence of liver or bone metastases, and treatment had an effect on overall survival.

Epigenetic Role of Histone Lysine Methyltransferase and Demethylase on the Expression of Transcription Factors Associated with the Epithelial-to-Mesenchymal Transition of Lung Adenocarcinoma Metastasis to the Brain

PURPOSE

The objective of this study was to investigate the epigenetic role of histone lysine methylation/demethylation on the expression of epithelial-to-mesenchymal transition (EMT) associated transcriptional factors (TFs) during the metastasis of lung adenocarcinoma to the brain.

METHODS

Paired samples of lung adenocarcinoma and brain metastasis (BM) were analyzed in 46 individual patients. Both samples were obtained by surgical resection or biopsy of the lung and brain. The paraffin-fixed formalin-embedded samples were obtained from the pathology archives in our institute. In samples of lung adenocarcinoma and BM, immunohistochemical staining was performed for epithelial markers, mesenchymal markers, EMT-TFs, histone lysine methyltransferase and demethylase.

RESULTS

The immunoreactivity of EMT-TFs such as Slug (15.6% vs. 42.6%, p = 0.005), Twist (23.6% vs. 45.9%, p = 0.010) and ZEB1 (15.0% vs. 55.9%, p = 0.002) was increased in BM compared with that in lung adenocarcinoma. Epigenetic inducers such as H3K4 methyltransferase (MLL4, p = 0.018) and H3K36me3 demethylase (UTX, p = 0.003) were statistically increased, and epigenetic repressors such as EZH2 (H3K27 methyltransferase, p = 0.046) were significantly decreased in BM compared with those in lung adenocarcinoma. The expression of UTX-ZEB1 (R² linear = 1.204) and MLL4-Slug (R² linear = 0.987) was increased in direct proportion, and EZH2-Twist (R² linear = -2.723) decreased in reverse proportion.

CONCLUSIONS

The results suggest that certain histone lysine methyltransferase/demethylase, such as MLL4, UTX, and EZH2, regulate the expression of EMT-TFs such as Slug, ZEB1, and Twist epigenetically, which may thereby influence cancer metastasis from the lung to the brain.

Lung cancer recurrence and mortality outcomes over a 10-year period using a multidisciplinary team approach

BACKGROUND

Longitudinal data are limited regarding the impact of a multidisciplinary team (MDT) approach on patient outcomes among those diagnosed with lung cancer. The purpose of this study is to 1) compare 1- and 3-year recurrence and mortality rates among patients receiving a MDT vs. standard model of care; and 2) assess trends in these proportions over a 10-year period.

METHODS

This investigation included 2044 lung cancer cases reported to the Stony Brook Cancer Registry between 2006 and 2015. Patients were stratified into 2 groups, those participating in Stony Brook's Lung Cancer Evaluation Center's (LCEC) MDT Program (n = 1179) and those receiving a standard model of care (n = 865). 1- and 3-year stage-stratified recurrence and mortality rates are reported. Logistic regression analyses are performed and linear by linear associations are used to assess trends over time.

RESULTS

A higher proportion of patients in the MDT program (LCEC) remained disease-free at 1-year compared those receiving standard care (80.0 % vs 62.3 %, p < 0.01). There were no significant changes in mortality over the 10-year observation period in either group, however the rates were significantly lower among LCEC vs non-LCEC cases after adjusting for possible confounders (OR = 0.68 (0.51,0.90) at 1-year; OR = 0.50 (0.36, 0.70) at 3-years). Recurrence was also lower at 3-years in the MDT group (OR = 0.51 (0.32, 0.79)).

CONCLUSIONS

This study suggests that a comprehensive MDT program for lung cancer yields improved patient outcomes compared to the standard model of care and this approach may help to decrease rates of disease recurrence and mortality.

RNF8 Promotes Epithelial-Mesenchymal Transition in Lung Cancer Cells via Stabilization of Slug

RNF8 (ring finger protein 8), a RING finger E3 ligase best characterized for its role in DNA repair and sperm formation via ubiquitination, has been found to promote tumor metastasis in breast cancer recently. However, whether RNF8 also plays a role in other types of cancer, especially in lung cancer, remains unknown. We show here that RNF8 expression levels are markedly increased in human lung cancer tissues and negatively correlated with the survival time of patients. Overexpression of RNF8 promotes the EMT process and migration ability of lung cancer cells, while knockdown of RNF8 demonstrates the opposite effects. In addition, overexpression of RNF8 activates the PI3K/Akt signaling pathway, knockdown of RNF8 by siRNA inhibits this activation, and pharmacologic inhibition of PI3K/Akt in RNF8-overexpressing cells also reduces the expression of EMT markers and the ability of migration. Furthermore, RNF8 is found to directly interact with Slug and promoted the K63-Ub of Slug, and knockdown of Slug disrupts RNF8-dependent EMT in A549 cells, whereas overexpression of Slug rescues RNF8-dependent MET in H1299 cells, and depletion of RNF8 expression by shRNA inhibits metastasis of lung cancer cells in vivo. Taken together, these results indicate that RNF8 is a key regulator of EMT process in lung cancer and suggest that inhibition of RNF8 could be a useful strategy for lung cancer treatment. IMPLICATIONS: This study provides a new mechanistic insight into the novel role of RNF8 and identifies RNF8 as a potential new therapeutic target for the treatment of lung cancer.

Cost-effectiveness analysis of pembrolizumab plus standard chemotherapy versus chemotherapy alone for first-line treatment of metastatic non-squamous non-small-cell lung cancer in China

OBJECTIVE

To determine whether the first-line treatment using pembrolizumab plus standard chemotherapy of platinum and pemetrexed for patients with metastatic, non-squamous, non-small-cell lung cancer (NSCLC) is cost-effective in China.

METHODS

We applied partitional survival analysis to assess the cost-effectiveness of pembrolizumab plus the cytotoxic chemotherapy (cisplatin/carboplatin and pemetrexed) in metastatic NSCLC in China. We took into account direct medical costs according to the data derived from the KEYNOTE-189 trial and literature. Incremental cost-effectiveness ratio (ICER) was assessed as per life-year (LY) and per quality-adjusted life-year (QALY), with 3% per year discounted rate of costs and outcomes. In the performance of sensitivity analysis, cost of disease-management, utility-PFS (progression-free survival), utility-PD (progressive disease) and the discount were considered as variables. In scenario analysis, a philanthropic support programme in China was considered. The threshold was set to be $28 106/QALY (corresponding to three times the GDP in China).

RESULTS

Treatment with pembrolizumab plus platinum and pemetrexed chemotherapy was estimated to increase cost by $139 168 compared with $73 081 (the cost of treatment with chemotherapy alone), leading to ICER of $80 444/LY and $96 644/QALY. Incremental costs/QALY are $90 419, $91 399 and $109 229 for programmed death ligand-1 TPS (tumour proportion scores) ≥50%, 1%-49% and <1% subgroups, respectively. Sensitivity analysis revealed that the price of pembrolizumab and the cost of disease-management in progressive-disease state were major variables.

CONCLUSION

In patients with metastatic non-squamous NSCLC, pembrolizumab plus standard chemotherapy of platinum and pemetrexed as the first-line treatment is not cost-effective in China, regardless of TPS.

A robust convolutional neural network for lung nodule detection in the presence of foreign bodies

Lung cancer is a major cause of death worldwide. As early detection can improve outcome, regular screening is of great interest, especially for certain risk groups. Besides low-dose computed tomography, chest X-ray is a potential option for screening. Convolutional network (CNN) based computer aided diagnosis systems have proven their ability of identifying nodules in radiographies and thus may assist radiologists in clinical practice. Based on segmented pulmonary nodules, we trained a CNN based one-stage detector (RetinaNet) with 257 annotated radiographs and 154 additional radiographs from a public dataset. We compared the performance of the convolutional network with the performance of two radiologists by conducting a reader study with 75 cases. Furthermore, the potential use for screening on patient level and the impact of foreign bodies with respect to false-positive detections was investigated. For nodule location detection, the architecture achieved a performance of 43 true-positives, 26 false-positives and 22 false-negatives. In comparison, performance of the two readers was 42 ± 2 true-positives, 28 ± 0 false-positives and 23 ± 2 false-negatives. For the screening task, we retrieved a ROC AUC value of 0.87 for the reader study test set. We found the trained RetinaNet architecture to be only slightly prone to foreign bodies in terms of misclassifications: out of 59 additional radiographs containing foreign bodies, false-positives in two radiographs were falsely detected due to foreign bodies.

Personality (at Intrapsychic and Interpersonal Level) Associated With Quality of Life in Patients With Cancer (Lung and Colon)

The objective of this study was to determine the association of quality of life (QoL) and intrapsychic and interpersonal behaviors (Structural Analysis of Social Behavior [SASB]) of patients with cancer (lung: n = 88; age 62.8 ± 10.1; colon: n = 56; age 60.1 ± 11.4). Personality described by SASB clusters (Cls): SASB-Questionnaire; QoL tests: FACT_G and QLQ-C30. Patients with lung cancer (n = 88; age 62.8 ± 10.1) and colon cancer (n = 56; age 60.1 ± 11.4; all stages of severity). Multiple regression analyses. Multiple linear regression: dependent variable: FACT_G; covariates: physical functioning, cognitive functioning, SASB-Cl3-50°, SASB-Cl6-50°. Analysis of variance and t test confirm validity of the model (P < .001). SASB-Cl3 with FACT_G (P = .034); SASB-Cl6 with FACT_G (P = .002); age with FACT_G (P = .018); physical functioning with FACT_G (P < .001); cognitive functioning with FACT_G (P < .001). Personality traits such as self-critical and oppressive behaviors, low capacity for self-esteem, physical and cognitive functioning, and age (a higher age determines a better QoL) strongly determine QoL in patients with lung and colon cancer. This may suggest areas of therapeutic intervention.

Natural language processing for populating lung cancer clinical research data

Background

Lung cancer is the second most common cancer for men and women; the wide adoption of electronic health records (EHRs) offers a potential to accelerate cohort-related epidemiological studies using informatics approaches. Since manual extraction from large volumes of text materials is time consuming and labor intensive, some efforts have emerged to automatically extract information from text for lung cancer patients using natural language processing (NLP), an artificial intelligence technique.

Methods

In this study, using an existing cohort of 2311 lung cancer patients with information about stage, histology, tumor grade, and therapies (chemotherapy, radiotherapy and surgery) manually ascertained, we developed and evaluated an NLP system to extract information on these variables automatically for the same patients from clinical narratives including clinical notes, pathology reports and surgery reports.

Results

Evaluation showed promising results with the recalls for stage, histology, tumor grade, and therapies achieving 89, 98, 78, and 100% respectively and the precisions were 70, 88, 90, and 100% respectively.

Conclusion

This study demonstrated the feasibility and accuracy of automatically extracting pre-defined information from clinical narratives for lung cancer research.

Information Extraction for Populating Lung Cancer Clinical Research Data

Lung cancer is the second most common cancer and the wide adoption of electronic health records (EHRs) offers a potential of accelerating cohort-related epidemiological studies using informatics approaches. In this study, we developed and evaluated a natural language processing (NLP) system to extract information on stage, histology, grade and therapies (chemotherapy, radiotherapy and surgery) automatically for lung cancer patients from clinical narratives including clinical notes, pathology reports and surgery reports. Evaluation showed promising results with the recalls for stage, histology, grade, and therapies achieving 89%, 98%, 80%, and 100% respectively and the precisions were 71%, 89%, 90%, and 100% respectively. This study demonstrated the feasibility and accuracy of extracting related information from clinical narratives for lung cancer research.

Beta1- and Beta2-Adrenoceptors Expression Patterns in Human Non-small Cell Lung Cancer: Relationship with Cancer Histology

Assessment of Beta-AR protein expression on tumour tissues might be a plausible strategy to select cancer patients who can benefit from Beta-blockers therapy. The aim of this study is to evaluate the differences between resected tissue specimens from primary lung cancer (adenocarcinoma (ADC) and squamous cell carcinoma (SCC)) in terms of expression pattern of Beta1- and Beta2-AR in both tumour and adjacent surrounding non-tumour tissue. This retrospective study was based on the analysis of 80 patients with histologically confirmed diagnosis of primary Non-Small Cell Lung Cancer (NSCLC) who received surgical treatment. The cases were carefully selected in order to obtain the most homogeneous sample in terms of histologic subtype (40 ADCs and 40 SCCs) and clinical stage (10 each). Beta1- and Beta2-AR expression was determined by immunohistochemistry and the staining evaluated by semi-quantitative scoring using the H-score method. In our NSCLC series, Beta1- and Beta2-AR are differentially expressed. Beta1-AR expression is present at low levels in both SCC and ADC. Likewise, when compared with the matched surrounding non-tumour tissues, Beta1-AR expression level was significantly lower in both histologic subtypes. Conversely, Beta2-AR is highly expressed in both histologic subtypes, but clearly highly expressed in ADC when compared with SCC and with their matched surrounding non-tumour tissue. Overall, this clinicopathological study highlights the differential expression of Beta1- and Beta2-AR in ADC and SCC. Repurposing non-selective Beta-blockers in oncologic setting might be a suitable therapeutic strategy for lung ADC. Graphical abstract.

Plasma miR-32 levels in non-small cell lung cancer patients receiving platinum-based chemotherapy can predict the effectiveness and prognosis of chemotherapy

BACKGROUND

Previous studies have shown that microRNA-32 (miRNA-32) is an exosome microRNA that affects the proliferation and metastasis of non-small cell lung cancer (NSCLC) cells. In this study, our goal was to assess the expression of plasma microRNA-32 and its potential as a biomarker to predict the tumor response and survival of patients with NSCLC undergoing platinum-based chemotherapy.

METHODS

Plasma microRNA-32 levels before and after 1 cycle of platinum-based chemotherapy in 43 patients with NSCLC were measured using a quantitative real-time polymerase chain reaction assay (qPCR). In addition, the demographic and survival data of the patients were collected for analysis.

RESULTS

A significant correlation was observed between the changes in microRNA-32 levels before and after 1 chemotherapy cycle and the treatment response (P = .035). In addition, Kaplan-Meier analysis showed that the level of microRNA-32 after 1 chemotherapy cycle was significantly correlated with the prognosis of patients. The median progression-free survival (P = .025) and overall survival (P = .015) of patients with high microRNA-32 levels (≥7.73) after 1 chemotherapy cycle was 9 and 21 months, respectively. In contrast, the median survival of patients with low microRNA-32 levels (<7.73) was 5 and 10 months, respectively.

CONCLUSIONS

The plasma levels of microRNA-32 correlated with the efficacy of platinum-based chemotherapy and survival, indicating that microRNA-32 may be useful for predicting the effectiveness of platinum-based chemotherapy and prognosis in NSCLC.

CA916798 gene expression is associated with multidrug resistance and predicts progression-free survival in patients with lung cancer

CA916798 has been identified as a novel multidrug resistance gene in lung cancer cells. However, the expression patterns of CA916798 in tumor tissues prior and subsequent to chemotherapy remain unclear. In the present study, CA916798 expression levels in tumor tissues prior and subsequent to chemotherapy were detected by reverse transcription-quantitative polymerase chain reaction and immunohistochemistry analysis. The prognostic significance of CA916798 expression in tumor tissues was explored by Kaplan-Meier survival analysis and Cox proportional hazards regression analysis. The messenger RNA (mRNA) and protein expression levels of CA916798 in tumor tissues were downregulated post-chemotherapy in chemotherapy-sensitive patients with lung cancer, but not in chemotherapy-resistant patients. Downregulation of CA916798 mRNA and protein expression post-chemotherapy was significantly associated with improved progression-free survival time. The findings from the present study suggest that platinum-based chemotherapy may induce the expression of CA916798, and CA916798 may be a promising biomarker to predict chemotherapy resistance and improve therapies for patients with lung cancer.

Real world utilization of EGFR TKIs and prognostic factors for survival in NSCLC during 2010-2016 in Sweden: A nationwide observational study

The purpose of our study was to investigate time trends in treatment pattern and prognostic factors for overall survival (OS) in epidermal growth factor receptor (EGFR) targeting tyrosine kinase inhibitors (TKIs) treated nonsmall cell lung cancer (NSCLC) patients. Utilizing Swedish nationwide registers, we identified all Stage IIIB-IV NSCLC patients treated with EGFR TKIs and followed them from diagnosis (2010-2015) until death or end of observation (2016). Multivariable Cox regression analyses were performed to test associations of patient-, tumor-related factors with OS. Of 9,992 Stage IIIB-IV NSCLC patients, the 1,419 (14%) who initiated EGFR TKI treatment during observation were younger (median age 68 vs. 71 years), less ≥1 comorbidities (34% vs. 46%), more often female (59% vs. 47%), Stage IV (89% vs. 85%) and adenocarcinoma (85% vs. 66%) compared to non-TKI treated patients. After TKI initiation, 7% (n = 100) of the patients switched, 4% (n = 62) rechallenged a TKI treatment, 65% (n = 919) discontinued and 24% (n = 338) had died. A more recent diagnosis demonstrated shorter time to EGFR TKI initiation, prolonged treatment length and longer median OS (15.3 months 2010-2011; 14.4 months 2012-2013; 18.6 months 2014-2015). Prognostic factors for longer OS when treated with EGFR TKIs were younger age, adenocarcinoma, less advanced clinical stage and less comorbid disease. In conclusion, during the observation period, survival improved for EGFR TKI treated NSCLC patients, as did the accessibility for targeted therapies for these patients.

Bevacizumab and CCR2 Inhibitor Nanoparticles Induce Cytotoxicity-Mediated Apoptosis in Doxorubicin-Treated Hepatic and Non-Small Lung Cancer Cells

Non-small cell lung cancer (NSCLC) and hepatocellular carcinoma (HCC) are very common in certain population around the world. Despite the recent advances in their diagnosis and therapy, their prognosis remains poor due to the development resistance to drug. Although doxorubicin (DOX) is considered to be one of the most anti-solid tumor drugs, developed resistance is contributing to unsuccessful outcome. The rationale of the current study is to explore the sensitizing capability of the DOX-treated cancer cells using the anticancer agents; bevacizumab (avastin; AV) and CCR2 inhibitor (CR) in their free- and nano-formulations. Here, the average size, polydispersity index (PDI), zeta potential, and entrpment effeciency (EE%) of the synthesized nanoparticles were measured. We investigated the effect of these platforms on the proliferation, apoptosis, necrosis, nitric oxide (NO), malondialdehyde (MDA), and zinc levels of human HCC (HepG2 and Huh-7) and NSCLC (A549) cancer cell lines. Glucose consumption rates using Huh-7 and A549 cancer cells were tested upon treatments. We demonstrated that AV and CR nano-treatments significantly suppressed A549 cell viability and activated apoptosis by NO level elevation. We concluded that AVCR NP plus DOX significantly induces A549 cytotoxicity-mediated apoptosis more than Huh-7 and HepG2 cells. This drug-drug nano-combination induced Huh-7 cytotoxicity-mediated apoptosis more than HepG2 cells. In conclusion, AVCR NP sensitized DOX-treated A549 and Huh-7 cells through reactive oxygen species (ROS)-stimulated apoptosis. Taken together, our data suggested that the CR plus AV nano-platforms would be a potential personalized medicine-based strategy for treating CCR2-positive NSCLC and HCC patients in the near future.

Large-scale gene expression analysis reveals robust gene signatures for prognosis prediction in lung adenocarcinoma

Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide. High mortality in LUAD motivates us to stratify the patients into high- and low-risk groups, which is beneficial for the clinicians to design a personalized therapeutic regimen. To robustly predict the risk, we identified a set of robust prognostic gene signatures and critical pathways based on ten gene expression datasets by the meta-analysis-based Cox regression model, 25 of which were selected as predictors of multivariable Cox regression model by MMPC algorithm. Gene set enrichment analysis (GSEA) identified the Aurora-A pathway, the Aurora-B pathway, and the FOXM1 transcription factor network as prognostic pathways in LUAD. Moreover, the three prognostic pathways were also the biological processes of G2-M transition, suggesting that hyperactive G2-M transition in cell cycle was an indicator of poor prognosis in LUAD. The validation in the independent datasets suggested that overall survival differences were observed not only in all LUAD patients, but also in those with a specific TNM stage, gender, and age group. The comprehensive analysis demonstrated that prognostic signatures and the prognostic model by the large-scale gene expression analysis were more robust than models built by single data based gene signatures in LUAD overall survival prediction.

Maximizing quality of life remains an ultimate goal in the era of precision medicine: exemplified by lung cancer

An ultimate goal of precision medicine in lung cancer treatment is to restore patient health with maximized quality of life (QOL). Results from Mayo Clinic studies show that a significant improvement in fatigue, dyspnea, and pain scales could lead to better overall QOL. Although treatments and guidelines for clinical implementation to alleviate these key symptoms are available, few cancer patients receive adequate therapy, mostly because of limitations in current care delivery systems and unclear clinicians’ roles. For optimal care of lung cancer survivors in different subpopulations, three barriers must be overcome: physicians’ lack of knowledge, unwarranted practice variation, and uncertainty regarding care provider roles. Appropriate culturally adapted, tested and validated tools for QOL measures must be developed, rather than directly translating existing tools between different languages and across cultures or diverse subpopulations. Finally, lack of sensitive, adequate, and relevant tools in measuring health-related QOL (HRQOL) has long been an issue for effective data collection, demanding a global consensus on a set of core components that reflect the needs of all critical parties for the best cure and care, supporting patients to achieve optimal HRQOL.

Aptamer-miR-34c Conjugate Affects Cell Proliferation of Non-Small-Cell Lung Cancer Cells

MicroRNAs (miRNAs) are key regulators of different human processes that represent a new promising class of cancer therapeutics or therapeutic targets. Indeed, in several tumor types, including non-small-cell lung carcinoma (NSCLC), the deregulated expression of specific miRNAs has been implicated in cell malignancy. As expression levels of the oncosuppressor miR-34c-3p are decreased in NSCLC compared to normal lung, we show that reintroduction of miR-34c-3p reduces NSCLC cell survival in vitro. Further, in order to deliver the miR-34c-based therapeutic selectively to tumor cells, we took advantage of a reported nucleic acid aptamer (GL21.T) that binds and inhibits the AXL transmembrane receptor and is rapidly internalized in the target cells. By applying methods successfully used in our laboratory, we conjugated miR-34c to the GL21.T aptamer as targeting moiety for the selective delivery to AXL-expressing NSCLC cells. We demonstrate that miR-34c-3p and the GL21.T/miR-34c chimera affect NSCLC cell proliferation and are able to overcome acquired RTK-inhibitor resistance by targeting AXL receptor. Thus, the GL21.T/miR-34c chimera exerts dual inhibition of AXL at functional and transcriptional levels and represents a novel therapeutic tool for the treatment of NSCLC.

Socio-demographic, Clinical, and Genetic Determinants of Quality of Life in Lung Cancer Patients

Patient reported health-related quality of life (QOL) is a major component of the overall well-being of cancer patients, with links to prognosis. In 6,420 lung cancer patients, we identified patient characteristics and genetic determinants of QOL. Patient responses from the SF-12 questionnaire was used to calculate normalized Physical Component Summary (PCS) and Mental Component Summary (MCS) scores. Further, we analyzed 218 single nucleotide polymorphisms (SNPs) in the p38 MAPK signaling pathway, a key mediator of response to cellular and environmental stress, as genetic determinants of QOL in a subset of the study population (N = 641). Trends among demographic factors for mean PCS and MCS included smoking status (PCS P_trend < 0.001, MCS P_trend < 0.001) and education (PCS P_trend < 0.001, MCS P_trend < 0.001). Similar relationships were seen for MCS. The homozygous rare genotype of MEF2B: rs2040562 showed an increased risk of a poor MCS (OR: 3.06, 95% CI: 1.05–8.92, P = 0.041). Finally, survival analysis showed that a low PCS or a MCS was associated with increased risks of five-year mortality (HR = 1.63, 95% CI: 1.51–1.77, HR = 1.23, 95% CI: 1.16–1.32, respectively) and there was a significant reduction in median survival time (P_log-rank < 0.001). These findings suggest that multiple factors contribute to QOL in lung cancer patients, and baseline QOL can impact survival.

Gallic acid-coated sliver nanoparticle alters the expression of radiation-induced epithelial-mesenchymal transition in non-small lung cancer cells

BACKGROUND

Radiotherapy is the most widely used treatment method for treating cancer with or without surgery and chemotherapy. In lung cancer, it is one of the important treatment steps in excising the tumor from the lung tissue; unfortunately, radiation can induce epithelial- mesenchymal transition (EMT), a typical physiological process in which cuboidal shaped epithelial cell loses its phenotype and acquires mesenchymal-like phenotype thus, increases the metastasis progression in the body. To prevent EMT mediated metastasis, we aimed to 1) synthesize silver nanoparticles by using Gallic acid, a potential antioxidant which acts as stabilizing and reducing agent in the form of silver nanoparticle (GA-AgNPs) 2) to analyze its effect on EMT markers during radiation-induced EMT in A549 cells.

METHODS

A549 cells were irradiated with 8Gy (X-ray) and treated with GA-AgNPs at a fixed concentration under in vitro condition. GA-AgNPs were prepared and characterized for absorption, potential stability, size and morphology by UV-Visible spectrophotometer, Zeta potential and Transmission electron microscopy respectively. After irradiation, the morphology changes were observed using an inverted microscope, the gene and protein expression of EMT markers were analyzed by RT-PCR and western blotting.

RESULTS/CONCLUSION

GA-AgNPs are in nano size with fair stability. The synthesized nanoparticles suppressed the EMT markers including Vimentin, N-cadherin, Snail-1 and increased E-cadherin expression which might inhibit cancer cells to acquire radio resistant metastasis potential.

The utilisation of convolutional neural networks in detecting pulmonary nodules: a review

Lung cancer is one of the leading causes of cancer-related fatality in the world. Patients display few or even no signs or symptoms in the early stages, resulting in up to 75% of patients diagnosed in the later stages of the disease. Consequently, there has been a call for lung cancer screening amongst at-risk populations. The early detection of malignant pulmonary nodules in CT is one of the suggested methods proposed to diagnose early-stage lung cancer; however, the reported sensitivity of radiologists' ability to accurately detect pulmonary nodules ranges widely from 30 to 97%. 2012 saw Alex Krizhevsky present a paper titled "ImageNet Classification with Deep Convolutional Networks" in which a multilayered convolutional computational model known as a convolutional neural network (CNN) was confirmed competent in identifying and classifying 1.2 million images to a previously unseen level of accuracy. Since then, CNNs have gained attention as a potential tool in aiding radiologists' detection of pulmonary nodules in CT imaging. This review found the use of CNN is a viable strategy to increase the overall sensitivity of pulmonary nodule detection. Small, non-validated data sets, computational constraints, and incomparable studies are currently limited factors of the existing research.

Targeting CCR2 with its antagonist suppresses viability, motility and invasion by downregulating MMP-9 expression in non-small cell lung cancer cells

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer, which is the leading cancer killer in the world. Despite the recent advances in its diagnosis and therapy, the prognosis of NSCLC patients remains very poor, mainly due to the development of drug resistance and metastasis. Both the chemokine network and the matrix metalloproteinase (MMP) system play important roles in cancer cell metastasis. The disruption of CCL2/CCR2 chemokine signaling has been shown to suppress cancer cellviability and metastasis. CCL2-neutralizing antibodies, which have shown promising therapeutic efficacy in several cancer models, are not widely used due to technical issues. CCR2 antagonism has thus become an alternative method for cancer treatment. However, the effect of CCR2 antagonists on NSCLC progression remains poorly understood. Here, we investigated the effect of CCR2 antagonist (CAS445479-97-0) on the proliferation, migration and invasion of human lung adenocarcinoma A549 cells by using WST-1 cell viability assay, transwell migration assay, wound healing scratch assay and Matrigel invasion assay. We demonstrated that CCL2 treatment promoted A549 cell viability, motility and invasion by upregulating MMP-9 expression and that this induction was significantly suppressed by CAS 445479-97-0. Taken together, our data suggested that the CCR2 antagonist would be a potential drug for treating CCR2-positive NSCLC patients.

Farrerol overcomes the invasiveness of lung squamous cell carcinoma cells by regulating the expression of inducers of epithelial mesenchymal transition

In recent years Epithelial Mesenchymal Transition (EMT) has been proposed as a mechanism indispensable to acquisition of metastatic properties by tumor cells. In this study we tested the ability of Farrerol, a Chinese herb-derived compound to ablate the EMT in human lung squamous cell carcinoma cells. Human lung squamous cell carcinoma cells, Calu-1 were treated with various concentrations of Farrerol for 24 h to examine its effect on their viability by the MTT assay. Only those concentrations which showed least effect on the viability of Calu-1 cells were further used to evaluate the expression of epithelial and mesenchymal markers by western blotting. Furthermore the effect of such concentrations on the migration and invasion of Calu-1 cells was determined by wound healing and transwell invasion assays respectively. The results demonstrated that Farrerol treatment led to the downregulation of Slug and Zeb-1, transcriptional regulators of EMT with the concomitant increase and decrease in the expression of E-cadherin and vimentin respectively. These data were further supported by migration and invasion assays which demonstrated that Farrerol treatment caused inhibited the migration and invasion of Calu-1 lung squamous cell carcinoma cells. Taken together, our results indicate that Farrerol suppresses lung squamous cell carcinoma cell metastatic potential by modulating the expression of EMT proteins.

Health-related quality of life in Chinese inpatients with lung cancer treatedin large general hospitals: across-sectional study

OBJECTIVE

In China, psychosocial problems of patients with cancer are under-recognised and undertreated in medical oncology practice. This study examined the health-related quality of life (QOL) in inpatients with lung cancer treated in large general hospitals and explored the demographic, clinical and psychosocial factors associated with QOL.

DESIGN

Cross-sectional study.

PARTICIPANTS AND SETTING

Altogether, 148 inpatients with lung cancer were consecutively recruited from two large general hospitals in Tianjin, China.

MAIN OUTCOME MEASURED

QOL, pain intensity, depressive and anxiety symptoms, and social support were assessed with WHO QOL Scale Brief Version, four-point Verbal Rating Scale, Hospital Anxiety and Depression Scale and Social Support Rating Scale, respectively.

RESULTS

Compared with the normative data for the Chinese general population, patients had significantly lower scores in physical (t=-25.860, p<0.001) and psychological (t=-18.225, p<0.001) QOL. Being unmarried (β=-2.471, 95% CI -4.908 to -0.034), poor economic status (β=-1.764, 95% CI -2.964 to -0.564), cancer metastasis (β=-1.328, 95% CI -2.632 to -0.024), poor performance status (β=-0.959, 95% CI -1.542 to -0.376), depression (β=-0.465, 95% CI -0.631 to -0.299), anxiety (β=-0.208, 95% CI -0.354 to -0.062) and low utilisation of social support (β=-0.344, 95% CI -0.577 to -0.111) were independently associated with poor physical QOL, while female gender (β=-1.494, 95% CI -0.649 to -2.339), less education years (β=-0.209, 95% CI -0.294 to -0.123), currently receiving chemotherapy (β=-1.536, 95% CI -3.051 to -0.021), small-cell cancer (β=-1.157, 95% CI -2.223 to -0.091), more intense pain (β=-0.535, 95% CI -0.919 to -0.151), poor performance status (β=-0.930, 95% CI -1.383 to -0.477), anxiety (β=-0.178, 95% CI -0.248 to -0.108) and inadequate subjective social support (β=-0.137, 95% CI -0.153 to -0.121) were independently associated with poor psychological QOL.

CONCLUSIONS

Inpatients with lung cancer treated in Chinese large general hospitals have poorer QOL than the general population. Effective prevention and management of psychosocial problems are potentially effective to improve their QOL.

Screening of FOXD3 targets in lung cancer via bioinformatics analysis

The purpose of the present study was to explore the targets of forkhead box D3 (FOXD3) in lung cancer, and thus contribute to the diagnosis and therapy of the disease. The gene expression profile of GSE64513 was downloaded from the Gene Expression Omnibus database. The dataset contained 3 FOXD3 knockout A549 lung cancer cell samples and 3 normal A549 cell samples. The differentially expressed genes (DEGs) between the FOXD3-knockout and normal A549 cells were identified using the limma package in R. The alternative splicing genes (ASGs) in FOXD3-knockout samples were identified by Replicate Multivariate Analysis of Transcript Splicing software. The Database for Annotation, Visualization and Integrated Discovery was used to identify the enriched functions and pathways of DEGs and ASGs. A protein-protein interaction (PPI) network was constructed based on results from the Search Tool for the Retrieval of Interacting Genes database and visualized using Cytoscape software. A total of 1,853 DEGs and 2,249 ASGs were identified in FOXD3-knockout A549 cells compared with normal A549 cells. The DEGs were enriched in 338 Gene Ontology (GO) terms and 21 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and the ASGs were enriched in 470 GO terms and 22 KEGG pathways. A total of 199 overlaps between the DEGs and the ASGs were identified; a PPI network constructed based on the overlapping genes contained 97 nodes and 115 pairs. FOXD3 may serve an important role in regulating the growth, migration and proliferation of tumor cells in lung cancer. The present study indicates that a number of genes, including AURKA and NOS3, may be targets of FOXD3, mediating its effect in lung cancer.

Elevated expression of FABP3 and FABP4 cooperatively correlates with poor prognosis in non-small cell lung cancer (NSCLC)

Fatty acid binding proteins (FABPs) are intracellular lipid-binding proteins that are involved in a variety of biological cellular processes, including tumorigenesis. In this study, we explored the expression pattern of FABP3 and FABP4 in non-small cell lung cancer (NSCLC) as well as their roles in prognosis. We determined mRNA expression of FABP3 and FABP4 in matched pairs of cancerous and non-cancerous fresh frozen tissues from 30 NSCLC patients. Tissue microarray immunohistochemical analysis (TMA-IHC) was applied to determine the protein expression of FABP3 and FABP4 in 281 cancerous and 121 matched adjacent non-cancerous tissue samples. Our results showed that both mRNA and protein expression of FABP3 and FABP4 were significantly higher in cancerous tissues when compared to non-cancerous tissues. Furthermore, high expression of FABP3 or FABP4 in NSCLC was significantly associated with advanced tumor node metastasis (TNM) stage and had a negative impact on the overall survival of NSCLC patients. Concurrent high expression of FABP3 and FABP4 was significantly related to TNM stage. In conclusion, our research demonstrated that high FABP3 or FABP4 expression had strong prognostic value for overall survival in NSCLC. Detection of FABP3 and FABP4 cooperatively was helpful to predict the prognosis of NSCLC.

Keap1 Inhibits Metastatic Properties of NSCLC Cells by Stabilizing Architectures of F-Actin and Focal Adhesions

Low expression of the tumor suppressor Kelch-like ECH-associated protein 1 (KEAP1) in non-small cell lung cancer (NSCLC) often results in higher malignant biological behavior and poor prognosis; however, the underlying mechanism remains unclear. The present study demonstrates that overexpression of Keap1 significantly suppresses migration and invasion of three different lung cancer cells (A549, H460, and H1299). Highly expressed Keap1, compared with the control, promotes formation of multiple stress fibers with larger mature focal adhesion complexes in the cytoplasm where only fine focal adhesions were observed in the membrane under control conditions. RhoA activity significantly increased when Keap1 was overexpressed, whereas Myosin 9b expression was reduced but could be rescued by proteasome inhibition. Noticeably, mouse tumor xenografts with Keap1 overexpression were smaller in size and less metastatic relative to the control group. Taken together, these results demonstrate that Keap1 stabilizes F-actin cytoskeleton structures and inhibits focal adhesion turnover, thereby restraining the migration and invasion of NSCLC. Therefore, increasing Keap1 or targeting its downstream molecules might provide potential therapeutic benefits for the treatment of patients with NSCLC.Implications: This study provides mechanistic insight on the metastatic process in NSCLC and suggests that Keap1 and its downstream molecules may be valuable drug targets for NSCLC patients. Mol Cancer Res; 16(3); 508-16. ©2018 AACR.

High expression of IRE1 in lung adenocarcinoma is associated with a lower rate of recurrence

Objective

Recent reports have shown that endoplasmic reticulum stress is associated with cancer. However, the impacts of endoplasmic reticulum stress on the prognosis of lung cancer are unknown. Therefore, in this study, we sought to reveal the relationship between the expression of endoplasmic reticulum stress-related genes (endoplasmic reticulum oxidoreductase 1L, protein kinase RNA-like endoplasmic reticulum kinase, activating transcription factor 6 and inositol-requiring kinase 1) and the outcome of lung adenocarcinoma.

Methods

One hundred and twenty-six patients with surgically resected lung adenocarcinomas were subjected to an endoplasmic reticulum stress-related mRNA expression analysis using quantitative RT-PCR. The following parameters were analyzed for all the study patients: age, sex, disease stage, smoking status, lymph node invasion (ly), vascular invasion (v) and EGFR mutation status. We assigned patients to either a high-expression group or a low-expression group according to the expression levels of endoplasmic reticulum stress-related genes.

Results

High expressions of endoplasmic reticulum stress-related genes were observed in patients with lower stages of lung adenocarcinoma and minimal vascular invasion. A Kaplan–Meier analysis showed significant differences in recurrence-free survival and overall survival between high-expression group and low-expression group. High inositol-requiring kinase 1 expression was an independent predictor of recurrence-free survival among patients with lung adenocarcinoma (hazard ratio, 0.396; 95% confidence interval, 0.188–0.834; P = 0.015).

Conclusions

Inositol-requiring kinase 1 may be a useful biomarker to predict recurrence in surgically resected lung adenocarcinoma patients.

Effects of silencing Rab27a gene on biological characteristics and chemosensitivity of non-small cell lung cancer

Rab27a, a member of the Rab protein family, can regulate the tumor microenvironment and promote the development of the tumor. Elevated expression of Rab27a is closely connected with many human cancers containing non-small cell lung cancer (NSCLC). But the role of Rab27a in non-small cell lung cancer and its possible mechanism is particularly unclear. In this research, we explored the effect of silencing Rab27a in vitro and in vivo, furnishing evidence that Rab27a could be a potential therapeutic target in NSCLC. Compared with corresponding control cells, silencing Rab27a had decreased ability of cell proliferation, migration and invasion in vitro and slower growth of xenograft tumors in mice. The expressions of apoptosis-associated proteins were induced with a reduction of anti-apoptotic protein in the NSCLC cells down-regulated Rab27a. Furthermore, Rab27a was associated with resistance to conventional chemotherapeutic agents. Our findings suggested that Rab27a might play a critical role in increasing chemosensitivity in NSCLC.

Ferrerol overcomes the invasiveness of lung squamous cell carcinoma cells by regulating the expression of inducers of Epithelial Mesenchymal Transition

In recent years Epithelial Mesenchymal Transition (EMT) has been proposed as a mechanism indispensable to acquisition of metastatic properties by tumor cells. In this study we tested the ability of Ferrerol, a Chinese herb-derived compound to ablate the EMT in human lung squamous cell carcinoma cells. Human lung squamous cell carcinoma cells, Calu-1 were treated with various concentrations of Ferrerol for 24 h to examine its effect on their viability by the MTT assay. Only those concentrations which showed least effect on the viability of Calu-1 cells were further used to evaluate the expression of epithelial and mesenchymal markers by western blotting. Furthermore the effect of such concentrations on the migration and invasion of Calu-1 cells was determined by wound healing and transwell invasion assays respectively. The results demonstrated that Ferrerol treatment led to the downregulation of Slug and Zeb-1, transcriptional regulators of EMT with the concomitant increase and decrease in the expression of E-cadherin and vimentin respectively. These data were further supported by migration and invasion assays which demonstrated that Ferrerol treatment caused inhibited the migration and invasion of Calu-1 lung squamous cell carcinoma cells. Taken together, our results indicate that Ferrerol suppresses lung squamous cell carcinoma cell metastatic potential by modulating the expression of EMT proteins.

Cost analysis of adverse events associated with non-small cell lung cancer management in France

Background

Adverse events (AEs) related to medical treatments in non-small cell lung cancer (NSCLC) are frequent and need an appropriate costing in health economic models. Nevertheless, data on costs associated with AEs in NSCLC are scarce, particularly since the development of immunotherapy with specific immune-related AEs.

Objective

To estimate the costs of grades 3 and 4 AEs related to NSCLC treatments including immunotherapy in France.

Methods

Grades 3 and 4 AEs related to treatment and reported in at least 1% of patients in Phase III clinical trials for erlotinib, ramucirumab plus docetaxel, docetaxel, pemetrexed plus carboplatin plus bevacizumab, platinum-based chemotherapies, nivolumab and pembrolizumab were identified. When no cost evaluation was reported in literature, estimates on standard treatments and medical resource use for each AE were obtained thanks to an expert panel. Total cost per AE was calculated from a French national health insurance perspective and updated in 2017 Euros. Hospital stay costs were estimated based on public and private weighted tariffs and data from the French Medical Information System (Programme de Médicalisation des Systèmes d’Information). Costs of tests, consultations and treatments were calculated based on national reimbursement tariffs.

Results

Overall, costs of grades 3 and 4 AEs related to treatment ranged from €46 per event to €7,742 per year. Fourteen out of 24 AEs identified had a mean estimated cost over €2,000. The highest mean costs were related to type 1 diabetes (€7,742 per year) followed by pneumonitis (€5,786 per event), anemia (€5,752 per event), dehydration (€5,207 per event) and anorexia (€4,349 per event). Costs were mostly driven by hospitalization costs.

Conclusion

Among the AEs identified, a majority appeared to have an important economic impact, with a management cost of at least €2,000 per event mainly driven by hospitalization costs. This study may be of interest for economic evaluations of new interventions in NSCLC.