Survival In Non-small Cell Lung Cancer Research Articles

Shortened Radiation Time Promotes Recovery From Radiation-induced Lymphopenia in Early-Stage Non-small Cell Lung Cancer Patients Treated With Stereotactic Body Radiation Therapy

Background: To evaluate the potential impact of radiation time on radiation-induced lymphopenia (RIL) and subsequently recovery after stereotactic body radiation therapy (SBRT) and to examine the associations between radiation time and with patient outcomes in early-stage non-small cell lung cancer (NSCLC). Methods: Clinical and laboratory records of subjects consisted of 115 patients who had received SBRT for early-stage NSCLC. Clinical and laboratory records were retrospective reviewed to assess the changes in total lymphocyte counts (TLCs) following SBRT. Associations of TLCs kinetics with the clinical and treatment features, and outcomes were analyzed. Results: Most patients (100/115, 86.96%) experienced significantly decreased median TLCs following SBRT (1700 vs 1100 cells/µL; P < .001), and 52 patients (45.21%) met the criteria for lymphopenia. Six months after SBRT, 44 patients (38.26%) had recovered. A negative correlation between TLCs reduction and radiation time was observed (r = −0.381, P < .001). According to the receiver-operating characteristic curve analysis, the optimal cut-off value for radiation time to was 3950 s to predict lymphocyte count recovery (LR) following RIL was 3950 s (P < .001). Multivariate analyses demonstrated that radiation time was significantly associated with LR (odds ratio [OR], 0.113; 95% confidence interval [CI], 0.029-0.432; P = .001) but not TLCs reduction (P = .575). LR within 6 months after SBRT was associated with improved progression-free survival in patients without non-lymphopenia (P = .034), but had little effect in patients with lymphopenia (P = .405). Conclusion: A longer radiation time was associated with a lower rate of LR within 6 months after SBRT in patients with early-stage NSCLC. Given the association of severe and persistent RIL with survival in NSCLC, further study of the effect of radiation time on immune status is warranted.

Highly elevated systemic inflammation is a strong independent predictor of early mortality in advanced non-small cell lung cancer

BackgroundAmple evidence support inflammation as a marker of outcome in non-small cell lung cancer (NSCLC). Here we explore the outcome for a subgroup of patients with advanced disease and substantially elevated systemic inflammatory activity. MethodsThe source cohort included consecutive patients diagnosed with NSCLC between January 2016 – May 2017 (n = 155). Patients with active infection were excluded. Blood parameters were examined individually, and cut-offs (ESR > 60 mm, CRP > 20 mg/L, WBC > 10 × 109, PLT > 400 × 109) were set to define the group of hyperinflamed patients. A score was developed by assigning one point for each parameter above cut-off (0–4 points). ResultsHigh systemic inflammation was associated with advanced stage and was seldom present in limited NSCLC. However, the one year survival of patients in stage IIIB-IV (n = 93) with an inflammation score of ≥2 was 0% compared to 33% and 50% among patients with a score of 1 and 0 respectively. The effect of a high inflammation score on overall survival remained significant in multi-variate analysis adjusted for confounding factors. The independent hazard ratio of an inflammation score ≥ 2 in multi-variate analysis (HR 3.43, CI 1.76–6.71) was comparable to a change in ECOG PS from 0 to 2 (HR 2.42, CI 1.13–5.18). ConclusionOur results show that high level systemic inflammation is a strong independent predictor of poor survival in advanced stage NSCLC. This observation may indicate a need to use hyperinflammation as an additional clinical parameter for stratification of patients in clinical studies and warrants further research on underlying mechanisms linked to tumor progression.

Circular RNA circENTPD7 suppresses the accumulation of PTEN to promote cell proliferation in non-small cell lung cancer.

The oncogenic role of circular RNA ENTPD7 (circENTPD7) in cancer biology has been reported in glioblastoma, while its role in non-small cell lung cancer (NSCLC) is unknown. This study was performed to investigate the involvement of circENTPD7 in NSCLC. NSCLC tissues and paired non-tumor tissues were collected from 64 NSCLC patients and the expression of circENTPD7 and PTEN were determined by RT-qPCR. Expression levels of PTEN protein in these tissue samples were measured by ELISA. The 64 NSCLC patients were subjected to a follow-up study to explore the role of circENTPD7 in predicting the survival of NSCLC. Overexpression of circENTPD7 was achieved in NSCLC cells, and the effects of overexpression of circENTPD7 on the expression of PTEN were measured by RT-qPCR and Western blot at mRNA and protein level, respectively. Cell proliferation was assessed by CCK-8 assay. CircENTPD7 was upregulated in NSCLC and high expression levels of circENTPD7 predicts the poor survival rate of NSCLC cells. In NSCLC tissues, circENTPD7 was inversely correlated with PTEN protein but not mRNA. In NSCLC tissues, overexpression of circENTPD7 resulted in downregulation of PTEN, but did not alter the expression of PTEN mRNA. Cell proliferation analysis showed that overexpression of circENTPD7 promoted the proliferation of NSCLC cells and reduced the inhibitory effects of overexpression of PTEN on cell proliferation. CircENTPD7 may suppress the accumulation of PTEN to promote cell proliferation in NSCLC.

Inhibition of Non-Small Cell Lung Cancer Proliferation and Survival by Rosemary Extract Is Associated with Activation of ERK and AMPK

Non-small cell lung cancer (NSCLC) represents an aggressive form of lung cancer which often develops resistance to chemo- and radiotherapy emphasizing a need to identify novel treatment agents to combat it. Many plants contain compounds with anti-inflammatory, antimicrobial, antidiabetic, and anticancer properties and some plant-derived chemicals are used in the treatment of cancer. A limited number of in vitro and in vivo animal studies provide evidence of anticancer effects of rosemary (Rosmarinus officinalis) extract (RE); however, no studies have explored its role in H1299 NSCLC cells, and its underlying mechanism(s) of action are not understood. The current study examined the effects of RE on H1299 cell proliferation, survival, and migration using specific assays. Additionally, immunoblotting was used to investigate the effects of RE treatment on signalling molecules implicated in cell growth and survival. Treatment with RE dose-dependently inhibited H1299 proliferation with an IC50 value of 19 µg/mL. Similarly, RE dose-dependently reduced cell survival, and this reduction correlated with increased levels of cleaved poly (ADP-ribose) polymerase (PARP), a marker of apoptosis. RE was also able to inhibit cell migration as assessed with a wound healing assay. These cellular effects of RE were associated with an increase in phosphorylated levels of extracellular signal-regulated kinase (ERK), AMP-activated protein kinase (AMPK), and its downstream targets ACC, the mTORC1 protein raptor, and decreased p70S6K phosphorylation. More studies are required to fully examine the effects of RE against NSCLC.

RETRACTED ARTICLE: Clinical practice of epidermal growth factor receptor-tyrosine kinase inhibitor targeted drugs combined with gadolinium oxide nanoparticles in the treatment of non-small cell lung cancer

Statement of Retraction Xuan Zhou, Ting Jin, Likun Wang, Erlin Zhao, Xuyang Xiao- 2022, Clinical Practice of Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitor Targeted Drugs Combined with Gadolinium Oxide Nanoparticles in the Treatment of Non-Small Cell Lung Cancer, Bioengineered 13(1), doi: 10.1080/21655979.2021.2009969 Since publication, significant concerns have been raised about the integrity of the data and reported results in the article. When approached for an explanation, the authors did not provide their original data or any necessary supporting information. As verifying the validity of published work is core to the integrity of the scholarly record, we are therefore retracting the article. The corresponding author listed in this publication has been informed. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’.

A Novel Multi-Neural Ensemble Approach for Cancer Diagnosis

ABSTRACT Cancer is a complex worldwide health concern that resulted in 10 million cancer deaths in 2018; hence, early cancer detection is crucial. Early detection involves developing more precise technology that offers information about the patient’s cancer, allowing clinicians to make better-informed treatment options. This study provides an in-depth analysis of multiple cancers. This study also exhibits a good survey of the machine or deep learning techniques used in cancer research. Also, the study proposed a stacking-based multi-neural ensemble learning method’s prediction performance on eight datasets, including the benchmark datasets like Wisconsin Breast cancer dataset, mesothelioma, cervical cancer, non-small cell lung cancer survival dataset, and prostate cancer dataset. This study also analyzes the three real-time cancer datasets (Lung, Ovarian & Leukemia) of the Jammu and Kashmir region. The simulation findings indicate that the methodology described in our study attained the highest level of prediction accuracy across all types of cancer data sets. Additionally, the proposed approach has been statistically validated. The purpose of this investigation was to develop and evaluate a prediction model that might be used as a biomarker for malignancy based on anthropometric, clinical, imaging, and gene data.

RYR2 mutation in non-small cell lung cancer prolongs survival via down-regulation of DKK1 and up-regulation of GS1-115G20.1: A weighted gene Co-expression network analysis and risk prognostic models.

RYR2 mutation is clinically frequent in non‐small cell lung cancer (NSCLC) with its function being elusive. We downloaded lung squamous cell carcinoma and lung adenocarcinoma samples from the TCGA database, split the samples into RYR2 mutant group (n = 337) and RYR2 wild group (n = 634), and established Kaplan‐Meier curves. The results showed that RYR2 mutant group lived longer than the wild group (p = 0.027). Weighted gene co‐expression network analysis (WGCNA) of differentially expressed genes (DEGs) yielded prognosis‐related genes. Five mRNAs and 10 lncRNAs were selected to build survival prognostic models with other clinical features. The AUCs of 2 models are 0.622 and 0.565 for predicting survival at 3 years. Among these genes, the AUCs of DKK1 and GS1‐115G20.1 expression levels were 0.607 and 0.560, respectively, which predicted the 3‐year survival rate of NSCLC sufferers. GSEA identified an association of high DKK1 expression with TP53, MTOR, and VEGF expression. Several target miRNAs interacting with GS1‐115G20.1 were observed to show the relationship with the phenotype, treatment, and survival of NSCLC. NSCLC patients with RYR2 mutation may obtain better prognosis by down‐regulating DKK1 and up‐regulating GS1‐115G20.1.

ARL14 as a Prognostic Biomarker in Non-Small Cell Lung Cancer.

PurposeNon-small cell lung cancer (NSCLC) is the leading cause of cancer-related deaths worldwide. The mechanisms underlying NSCLC initiation and progression require further investigation. The purpose of this study was to investigate the role of ADP ribosylation factor-like GTPase 14 (ARL14) related to the progression of NSCLC.Patients and MethodsWe analyzed the correlation between clinical characteristics and ARL14 expression using data from The Cancer Genome Atlas (TCGA). Kaplan–Meier analysis was conducted to evaluate the prognostic value of ARL14 in NSCLC. Functions of ARL14 were identified by enrichment analysis. The relationship between ARL14 expression and immune cell infiltration was also studied. Furthermore, ARL14 expression was examined using immunohistochemistry, and its clinical significance was analyzed in 120 patients with NSCLC.ResultsOur study revealed that the expression level of ARL14 in patients with NSCLC was higher than that in normal tissues. Using TCGA data, higher ARL14 expression in lung adenocarcinoma was associated with residual tumor (P = 0.017), while it was associated with age (P = 0.003) and N stage (P = 0.009) in lung squamous cell carcinoma. Similar results were obtained from 120 patients with NSCLC. High ARL14 expression was associated with poor overall survival and progression-free survival in NSCLC. Multivariate analysis revealed that ARL14 was an independent risk factor for patients with NSCLC. Functional enrichment analysis indicated that ARL14 was related to the occurrence and development of tumors.ConclusionIncreased ARL14 expression was considerably correlated with poor survival in NSCLC, and it might be a promising prognostic biomarker for NSCLC.

Anti-PD1/PDL1 IgG subclass distribution in ten cancer types and anti-PD1 IgG4 as biomarker for the long time survival in NSCLC with anti-PD1 therapy.

Antibodies targeting programmed cell death-1(PD1) and its ligand (PDL1) have revolutionized cancer therapy. However, little is known about the preexisted anti-PD1/PDL1 autoantibodies (AAbs) distribution in multiple cancer types, nor is their potential biomarker role for anti-PD1 therapy. Plasma anti-PD1/PDL1 AAb IgG and subclasses (IgG1-4) were detected by enzyme-linked immune sorbent assay (ELISA) in 190 cancer patients, covering 10 cancer types (lung, breast, esophageal, colorectal, liver, prostatic, cervical, ovarian, gastric cancers and lymphoma), the comprehensive correlation of AAbs with multiple clinical parameters was analyzed. We further tested these AAbs in 76 non-small cell lung cancer (NSCLC) samples receiving anti-PD1 therapy, the association of AAbs level with survival was analyzed and validated in an independent cohort (n = 32). Anti-PD1/PDL1 AAb IgG were globally detected in 10 types of cancer patients. IgG1 and IgG2 were the major subtypes for anti-PD1/PDL1 AAbs. Correlation analysis revealed a distinct landscape between various cancer types. The random forest model indicated that IgG4 subtype was mostly associated with cancer. In discovery cohort of 76 NSCLC patients, high anti-PD1 IgG4 was associated with a reduced overall survival (OS, p = 0.019), not progression-free survival (PFS,p = 0.088). The negative association of anti-PD1 IgG4 with OS was validated in 32 NSCLC patients (p = 0.032). This study reports for the first time the distribution of preexisted anti-PD1/PDL1 AAb IgG and subclasses across 10 cancer types. Moreover, the anti-PD1 AAb IgG4 subclass was identified to associate with OS, which may serve as a potential biomarker for anti-PD1 therapeutic survival benefit in NSCLC patients.

Oligoprogression in Non-Small Cell Lung Cancer.

Simple SummarySeveral retrospective studies present evidence of oligoprogressive disease (OPD) in patients with non-small cell lung cancer (NSCLC) with driver mutations such as EGFR. The strategy of local ablative therapy (LAT) with radiotherapy, followed by the continuation of the same anticancer drug therapy beyond progression disease, is recommended in the current NCCN guideline. Although evidence of the use of this strategy in the treatment of the driver mutation-negative NSCLC is missing, LAT with radiotherapy for OPD after combination therapy of immune checkpoint inhibitor with cytotoxic chemotherapy is expected. Tumors outside of the radiation field may further respond to the immune checkpoint inhibitors due to an abscopal effect. In the future, to achieve long-term survival in advanced NSCLC, it will be important to validate this treatment strategy via prospective comparative studies and to actively implement it in clinical practice.We reviewed the literature on oligoprogressive disease (OPD) and local ablative therapy (LAT) in patients with advanced non-small cell lung cancer (NSCLC). The frequency of OPD varies depending on its definition and is estimated to be between 15–47%. The implications of the strategy of continuing the same anticancer agents beyond progressive disease after LAT with radiation therapy for OPD are based on the concept of progression in which only a small number of lesions, not more than about four, proliferate after chemotherapy. In the case of OPD harboring driver mutations such as EGFR, prospective studies are underway. However, evidence from retrospective studies support this strategy, which is currently recommended in some guidelines. The prognosis in OPD cases during the administration of an immune checkpoint inhibitor (ICI) is relatively promising. Additionally, LAT with radiation for OPD after the first-line treatment of ICI with cytotoxic chemotherapy may overcome the resistance to the combination drug therapy due to an abscopal effect. To achieve long-term survival in advanced-stage NSCLC, it is important to verify the optimal method and timing of the therapy through prospective comparative studies as well as patient selection based on patient characteristics and biomarker levels.

Identification of lncRNA-miRNA-mRNA Networks Linked to Non-small Lung Cancer Resistance to Inhibitors of Epidermal Growth Factor Receptor.

Background: Tyrosine kinase inhibitors that act against epidermal growth factor receptor (EGFR) show strong efficacy against non-small cell lung cancer (NSCLC) involving mutated EGFRs. However, most such patients eventually develop resistance to EGFR-TKIs. Numerous researches have reported that messenger RNAs (mRNAs) and non-coding RNAs (ncRNAs) may be involved in EGFR-TKI resistance, but the comprehensive expression profile and competitive endogenous RNA (ceRNA) regulatory network between mRNAs and ncRNAs in EGFR-TKI resistance of NSCLC are incompletely known. We aimed to define a ceRNA regulatory network linking mRNAs and non-coding RNAs that may mediate this resistance. Methods: Using datasets GSE83666, GSE75309 and GSE103352 from the Gene Expression Omnibus, we identified long non-coding RNAs (lncRNAs), microRNAs (miRNAs) and mRNAs differentially expressed between NSCLC cells that were sensitive or resistant to EGFR-TKIs. The potential biological functions of the corresponding differentially expressed genes were analyzed based KEGG pathways. We combined interactions among lncRNAs, miRNAs and mRNAs in the RNAInter database with KEGG pathways to generate transcriptional regulatory ceRNA networks associated with NSCLC resistance to EGFR-TKIs. Kaplan-Meier analysis was used to assess the ability of core ceRNA regulatory sub-networks to predict the progression-free interval and overall survival of NSCLC. The expression of two core ceRNA regulatory sub-networks in NSCLC was validated by quantitative real-time PCR. Results: We identified 8,989 lncRNAs, 1,083 miRNAs and 3,191 mRNAs that were differentially expressed between patients who were sensitive or resistant to the inhibitors. These DEGs were linked to 968 biological processes and 31 KEGG pathways. Pearson analysis of correlations among the DEGs of lncRNAs, miRNAs and mRNAs identified 12 core ceRNA regulatory sub-networks associated with resistance to EGFR-TKIs. The two lncRNAs ABTB1 and NPTN with the hsa-miR-150–5p and mRNA SERPINE1 were significantly associated with resistance to EGFR-TKIs and survival in NSCLC. These lncRNAs and the miRNA were found to be down-regulated, and the mRNA up-regulated, in a resistant NSCLC cell line relative to the corresponding sensitive cells. Conclusion: In this study, we provide new insights into the pathogenesis of NSCLC and the emergence of resistance to EGFR-TKIs, based on a lncRNA-miRNA-mRNA network.

Racial Differences in Survival Among Advanced-stage Non-small-Cell Lung Cancer Patients Who Received Immunotherapy: An Analysis of the US National Cancer Database (NCDB).

Lung cancer is the most common cause of cancer death among men and women in the United States, with significant racial disparities in survival. It is unclear whether these disparities persist upon equal utilization of immunotherapy. The purpose of this study was to evaluate the association between race and all-cause mortality among non-small-cell lung cancer (NSCLC) patients who received immunotherapy. We obtained data from the 2016 National Cancer Database on patients diagnosed with advanced-stage (III-IV) NSCLC from 2015 to 2016. Multivariable Cox proportional hazards models were used to calculate hazard ratios (HR) and 95% confidence intervals (95% CI) by race/ethnicity. A total of 2940 patients were included. Non-Hispanic (NH)-Black patients had a lower risk of death relative to NH-White patients (HR: 0.85; 95% CI: 0.73, 0.98) after adjusting for sociodemographic, clinical, and treatment factors. Formal tests of interaction evaluating race with Charlson-Deyo comorbidity score and race with area-level median income were nonsignificant. However, in stratified analyses, NH-Black versus NH-White patients had a lower risk of death in models adjusted for sociodemographic factors among those with at least 1 comorbidity (HR: 0.75; 95% CI: 0.57, 0.97), and those living in regions within the 2 lowest quartiles of median income (HR: 0.82; 95% CI: 0.68, 0.99). Among advanced-stage NSCLC patients who received immunotherapy, NH-Black patients experienced higher survival compared with NH-White patients. We urge the implementation of policies and interventions that seek to equalize access to care as a means of addressing differences in overall NSCLC survival by race.

Impact of Genetic Polymorphisms on the Metabolic Pathway of Vitamin D and Survival in Non-Small Cell Lung Cancer.

Vitamin D has been associated with risk, development, and progression of cancer. However, the genes involved in its metabolism are highly polymorphic, compromising its activity. The aim of this study is to evaluate the association between the gene polymorphisms involved in the metabolic pathway of vitamin D and survival in patients with non-small-cell lung cancer (NSCLC). The study was designed as an observational cohort which included 194 Caucasians patients from southern Spain with NSCLC. Real-time polymerase chain reaction was used to analyze the following polymorphisms: CYP27B1 rs4646536, rs3782130, and rs10877012; CYP24A1 rs6068816 and rs4809957; GC rs7041; CYP2R1 rs10741657; VDR rs1544410 (BsmI), rs11568820 (Cdx-2), rs2228570 (FokI), rs7975232 (ApaI), and rs731236 (TaqI). Progression-free survival (PFS) and overall survival were assessed. Cox regression showed that rs4646536 was associated with PFS in the general population (p = 0.0233) and in the non-resected NSCLC subgroup (p = 0.0233). In the resected NSCLC subgroup, rs11568820 was associated with OS (p = 0.0129) and rs7041 with PFS (p = 0.0447). In the non-resected NSCLC subgroup, rs6068816 was associated with PFS (p = 0.0048) and OS (p = 0.0089) and rs731236 and rs7975232 were associated with OS (p = 0.0005) and PFS (p = 0.0002), respectively. The other polymorphisms showed no effect on the results. The rs4646536, rs6068816, rs7041, rs11568820, rs731236, and rs7975232 polymorphisms are associated with survival in NSCLC and may have a substantial role as prognostic markers of the disease.

Tumor Control and Survival Outcomes Based on Maximum Standardized Uptake Value on FDG-PET/CT in T1-2 NSCLC Treated With SBRT

<h3>Purpose/Objective(s)</h3> Stereotactic body radiotherapy (SBRT) is standard of care in medically inoperable early-stage non-small cell lung cancer (NSCLC). Assessment of maximum standardized uptake value (SUVmax) on FDG-PET/CT before and after SBRT may stratify tumor control and survival outcomes. <h3>Materials/Methods</h3> Retrospective chart review identified patients with T1-2N0M0 NSCLC who were only treated with SBRT between 2012 and 2019. Pretreatment SUVmax and percent change in SUVmax at 3 and 6 months following SBRT were assessed as independent predictors of local control (LC), regional failure-free survival (RFFS), distant failure-free survival (DFFS), progression-free survival (PFS), and overall survival (OS). Receiver operator characteristic (ROC) analysis yielded optimal cut points for comparison. Survival analyses were performed with Kaplan-Meier estimates with log rank testing, and Cox proportional hazards models including age, sex, T stage, histology, and performance status. <h3>Results</h3> 71 (43.6%) out of 163 patients underwent repeat PET/CT within 6 months of SBRT completion. Median follow-up was 19 months (range 1 – 94 months). For the whole cohort, 1-year and 2-year LC, PFS, and OS were 95.0% and 80.3%, 75.9% and 47.7%, and 87.1% and 67.0%, respectively. For DFFS, pretreatment SUVmax greater than 4 had an aHR of 3.33 (95% CI 1.42 – 7.84, <i>P</i> = 0.006). Pre-SBRT SUVmax over 12.3 had an aHR of 2.80 (95% CI 1.3 – 6.2, <i>P</i> = 0.011) for PFS, and a cut point of 12.6 had an aHR of 3.00 (95% CI 1.6 – 5.8, <i>P</i> = 0.003) for OS. Pretreatment SUVmax did not significantly predict LC or RFFS. At 3 months following SBRT, an SUVmax decrease of at least 45% was associated with improved LC (aHR = 0.15, 95% CI 0.02 – 0.91, <i>P</i> = 0.018). A 6-month SUVmax decrease of more than 53% was associated with better LC (<i>P</i> = 0.038), and a decrease over 11% was associated with improved RFFS (aHR = 0.12, 95% CI 0.02 – 0.96, <i>P</i> = 0.046). Change in SUVmax was not significantly associated with DFFS, PFS, or OS at either time point. No factors other than performance status for PFS and OS were significant. <h3>Conclusion</h3> At 3 and 6 months following SBRT, cut points for percentage change in SUVmax can stratify risk of local recurrence and possibly regional recurrence. Pretreatment SUVmax cutoffs can predict distant failure, progression-free survival, and overall survival in early-stage NSCLC.

Immune-Depleted Phenotype in Non-Small Cell Lung Cancer Brain Metastases Predicts for Worse Overall Survival

Among patients with non-small cell lung cancer (NSCLC), 20-40% will develop brain metastases. Immunotherapy improves overall survival in metastatic NSCLC, but unfortunately those with brain metastases still have a median survival of around one year. One possible cause of this poor survival may be due to the immune-privileged status of the brain, which may limit the benefit of immunotherapy, emphasizing the need for local therapy with surgery and/or radiation. Here we utilized RNA-sequencing to evaluate the immunophenotype of NSCLC brain metastases.Resected lung primary tumors and brain metastases from patients with NSCLC were collected and sequenced under an IRB approved protocol. Gene expression counts were obtained and used for a differential expression analysis (DEA) between brain and lung tumors, with a false discovery rate adjusted P-value of 0.05 and a two-fold change in expression as cut-offs for significance. CibersortX was run with the LM22 signature matrix, utilizing the Wilcoxon Rank Sum test for significance comparisons. Survival analysis was performed with Cox Regression analysis.There were 48 primary lung tumors and 66 brain metastases profiled. For the lung vs. brain DEA, 784 genes met significance thresholds, including 88 immune related genes, 97% of which were downregulated in metastatic brain tumors. CibersortX output showed a significantly higher immune score for lung tumors compared to brain (P < 0.001), with a lower proportion of CD4 and CD T-cells but higher proportion of M2 macrophages in the brain (all with P < 0.001). Focusing on metastatic brain samples and immune related genes, hierarchical clustering of normalized RNA expression levels identified 4 patient clusters, with an overall significant difference in survival between the four groups (log-rank P = 0.026). On pairwise comparison, a single cluster containing an immune-depleted phenotype (n = 14) was found to drive the survival difference. Patients were thus split into immune-depleted and immune-enriched clusters, observing a median overall survival of 9.7 months versus 29.0 months, respectively (HR 0.38, 95% CI 0.19-0.74, P = 0.005). The immune-depleted cluster, had a significantly lower immune score (P < 0.001), with a higher proportion of NK resting cells (P = 0.003) and M0 macrophages (P = 0.02) and a lower proportion of NK activated cells (P = 0.004).We have identified an immune-depleted subtype of NSCLC brain metastases that is associated with poor overall survival. Our results suggest that there is variability in the brain metastasis immune microenvironment which impacts patient outcomes and may be a feature that could be exploited by future personalized treatments that combine radiation with immunotherapy.

Hexokinase 2-driven glycolysis in pericytes activates their contractility leading to tumor blood vessel abnormalities

Defective pericyte-endothelial cell interaction in tumors leads to a chaotic, poorly organized and dysfunctional vasculature. However, the underlying mechanism behind this is poorly studied. Herein, we develop a method that combines magnetic beads and flow cytometry cell sorting to isolate pericytes from tumors and normal adjacent tissues from patients with non-small cell lung cancer (NSCLC) and hepatocellular carcinoma (HCC). Pericytes from tumors show defective blood vessel supporting functions when comparing to those obtained from normal tissues. Mechanistically, combined proteomics and metabolic flux analysis reveals elevated hexokinase 2(HK2)-driven glycolysis in tumor pericytes, which up-regulates their ROCK2-MLC2 mediated contractility leading to impaired blood vessel supporting function. Clinically, high percentage of HK2 positive pericytes in blood vessels correlates with poor patient overall survival in NSCLC and HCC. Administration of a HK2 inhibitor induces pericyte-MLC2 driven tumor vasculature remodeling leading to enhanced drug delivery and efficacy against tumor growth. Overall, these data suggest that glycolysis in tumor pericytes regulates their blood vessel supporting role.

Clinically validated model predicts the effect of intratumoral heterogeneity on overall survival for non-small cell lung cancer (NSCLC) patients

Background and objectiveRadiation therapy is used in nearly 50% of cancer treatments in the developed world. Currently, radiation treatments are homogenous and fail to take into consideration intratumoral heterogeneity. We demonstrate the importance of considering intratumoral heterogeneity and the development of resistance during fractionated radiotherapy when the same dose of radiation is delivered for all fractions (Fractional Equivalent Dosing FED). MethodsA mathematical model was developed with the following parameters: a starting population of 1011 non-small cell lung cancer (NSCLC) tumor cells, 48 h doubling time, and cell death per the linear-quadratic (LQ) model with α and β values derived from RSIα/β, in a previously described gene expression based model that estimates α and β. To incorporate both inter- and intratumor radiation sensitivity, RSIα/β output for each patient sample is assumed to represent an average value in a gamma distribution with the bounds set to -50% and +50% of RSIα/b. Therefore, we assume that within a given tumor there are subpopulations that have varying radiation sensitivity parameters that are distinct from other tumor samples with a different mean RSIα/β. A simulation cohort (SC) comprised of 100 lung cancer patients with available RSIα/β (patient specific α and β values) was used to investigate 60 Gy in 30 fractions with fractionally equivalent dosing (FED). A separate validation cohort (VC) of 57 lung cancer patients treated with radiation with available local control (LC), overall survival (OS), and tumor gene expression was used to clinically validate the model. Cox regression was used to test for significance to predict clinical outcomes as a continuous variable in multivariate analysis (MVA). Finally, the VC was used to compare FED schedules with various altered fractionation schema utilizing a Kruskal-Wallis test. This was examined using the end points of end of treatment log cell count (LCC) and by a parameter described as mean log kill efficiency (LKE) defined as: LCC = log10(tumorcellcount) LKE=(log10(dayitumorcellcount)−−log10(dayi+1tumorcellcount))dayi_dosage ResultsCox regression analysis on LCC for the VC demonstrates that, after incorporation of intratumoral heterogeneity, LCC has a linear correlation with local control (p = 0.002) and overall survival (p = < 0.001). Other suggested treatment schedules labeled as High Intensity Treatment (HIT) with a total 60 Gy delivered over 6 weeks have a lower mean LCC and an increased LKE compared to standard of care 60 Gy delivered in FED in the VC. ConclusionWe find that LCC is a clinically relevant metric that is correlated with local control and overall survival in NSCLC. We conclude that 60 Gy delivered over 6 weeks with altered HIT fractionation leads to an enhancement in tumor control compared to FED when intratumoral heterogeneity is considered.

M6A RNA methylation-mediated RMRP stability renders proliferation and progression of non-small cell lung cancer through regulating TGFBR1/SMAD2/SMAD3 pathway.

Non-small cell lung cancer (NSCLC) has the highest mortality rate among all malignancies worldwide. The role of long noncoding RNAs (lncRNAs) in the progression of cancers is a contemporary research hotspot. Based on an integrative analysis of The Cancer Genome Atlas database, we identified lncRNA-RNA Component of Mitochondrial RNA Processing Endoribonuclease (RMRP) as one of the most highly upregulated lncRNAs that are associated with poor survival in NSCLC. Furthermore, N(6)-methyladenosine (m6A) was highly enriched within RMRP and enhanced its RNA stability. In vitro and in vivo experiments showed that RMRP promoted NSCLC cell proliferation, invasion, and migration. In terms of mechanism, RMRP recruited YBX1 to the TGFBR1 promotor region, leading to upregulation of the transcription of TGFBR1. The TGFBR1/SMAD2/SMAD3 pathway was also regulated by RMRP. In addition, RMRP promoted the cancer stem cells properties and epithelial mesenchymal transition, which promote the resistance to radiation therapy and cisplatin. Clinical data further confirmed a positive correlation between RMRP and TGFBR1. In short, our work reveals that m6A RNA methylation-mediated RMRP stability renders proliferation and progression of NSCLC through regulating TGFBR1/SMAD2/SMAD3 pathway.

Genetic Variants of CLEC4E and BIRC3 in Damage-Associated Molecular Patterns-Related Pathway Genes Predict Non-Small Cell Lung Cancer Survival.

Accumulating evidence supports a role of various damage-associated molecular patterns (DAMPs) in progression of lung cancer, but roles of genetic variants of the DAMPs-related pathway genes in lung cancer survival remain unknown. We investigated associations of 18,588 single-nucleotide polymorphisms (SNPs) in 195 DAMPs-related pathway genes with non-small cell lung cancer (NSCLC) survival in a subset of genotyping data for 1,185 patients from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial and validated the findings in another independent subset of genotyping data for 984 patients from Harvard Lung Cancer Susceptibility Study. We performed multivariate Cox proportional hazards regression analysis, followed by expression quantitative trait loci (eQTL) analysis, Kaplan-Meier survival analysis and bioinformatics functional prediction. We identified that two SNPs (i.e., CLEC4E rs10841847 G>A and BIRC3 rs11225211 G>A) were independently associated with NSCLC overall survival, with adjusted allelic hazards ratios of 0.89 (95% confidence interval=0.82-0.95 and P=0.001) and 0.82 (0.73-0.91 and P=0.0003), respectively; so were their combined predictive alleles from discovery and replication datasets (P trend=0.0002 for overall survival). We also found that the CLEC4E rs10841847 A allele was associated with elevated mRNA expression levels in normal lymphoblastoid cells and whole blood cells, while the BIRC3 rs11225211 A allele was associated with increased mRNA expression levels in normal lung tissues. Collectively, these findings indicated that genetic variants of CLEC4E and BIRC3 in the DAMPs-related pathway genes were associated with NSCLC survival, likely by regulating the mRNA expression of the corresponding genes.

FP02.02 The Impact of Sex on Non-Small Cell Lung Cancer Survival in Canada

Lung cancer is the leading cause of cancer-related death in Canada. Non-small cell lung cancer (NSCLC) accounts for the majority of lung cancer cases, and while new treatments have been developed, survival outcomes remain poor. Literature from outside Canada indicates differences in NSCLC survival by sex. These differences cannot be explained by differences in stage, NSCLC subtype, age, or smoking history, indicating that sex may be an independent prognostic factor. The impact of sex on NSCLC survival has yet to be thoroughly examined in the Canadian context. Here we evaluate the impact of sex on survival outcomes among a population-based Canadian cohort of lung cancer patients. A retrospective cohort study was completed using real-world data from the Glans-Look Lung Cancer Database (GLD). The GLD contains demographic, clinical, pathological, treatment, and outcome data for all individuals diagnosed with NSCLC in Alberta, Canada, between 2010 and 2017. Descriptive statistics were used to characterize the cohort. To analyze the impact of sex on NSCLC survival, Kaplan-Meier estimators with log rank tests were used for comparisons between cohorts grouped by sex, stage, and subtype. Overall survival was defined as time from diagnosis to death from any cause. 8193 patients with complete data were included in analyses. Median age was 69.30 years (IQR 61.85-76.19), with 49.35% of the cohort being female. Median overall survival was 12.73 months (IQR 4.83–28.07), with 6277 (76.61%) patients deceased at end of follow-up. The highest proportion of cases (49.04%) were stage IV at diagnosis, and the most common histological subtypes were adenocarcinoma (55.35%), squamous cell carcinoma (SCC) (24.68%), and pathologically not otherwise specified (NOS) (9.79%). Survival analyses by stage indicated females had longer survival than males at every stage of diagnosis (p<0.01) (Figure). Analyses by subtype indicated that amongst those with adenocarcinoma, SCC, or pathological NOS, females had longer survival than males (p<0.01). Analyses by stage and subtype showed longer female survival for all stages of adenocarcinoma (p<0.01), and stage IV SCC (p<0.01) and pathological NOS (p=0.02) compared to males. These preliminary analyses suggest that females with NSCLC have longer survival than males with NSCLC at all stages of disease, and within the most common histological subtypes. These analyses suggest that survival trends among Canadian NSCLC patients are similar to those seen in other western countries, and that further research is needed to elucidate the consideration of sex as an independent prognostic factor for NSCLC.