Proinflammatory polarization strongly reduces human macrophage in vitro phagocytosis of tumor cells in response to CD47 blockade.

Antibody-based CD47 blockade aims to activate macrophage phagocytosis of tumor cells. However, macrophages possess a high degree of phenotype heterogeneity that likely influences phagocytic capacity. In murine models, proinflammatory (M1) activation increases macrophage phagocytosis of tumor cells, but in human models, results have been conflicting. Here, we investigated the effects of proinflammatory polarization on the phagocytic response of human monocyte-derived macrophages in an in vitro model. Using both flow cytometry-based and fluorescence live-cell imaging-based phagocytosis assays, we observed that mouse monoclonal anti-CD47 antibody (B6H12) induced monocyte-derived macrophage phagocytosis of cancer cells in vitro. Proinflammatory (M1) macrophage polarization with IFN-γ+LPS resulted in a severe reduction in phagocytic response to CD47 blockade. This reduction coincided with increased expression of the antiphagocytic membrane proteins LILRB1 and Siglec-10 but was not rescued by combination blockade of the corresponding ligands. However, matrix metalloproteinase inhibitors (TAPI-0 or GM6001) partly restored response to CD47 blockade in a dose-dependent manner. In summary, these data suggest that proinflammatory (M1) activation reduces phagocytic response to CD47 blockade in human monocyte-derived macrophages.

Plasma Immune Proteins and Circulating Tumor DNA Predict the Clinical Outcome for Non-Small-Cell Lung Cancer Treated with an Immune Checkpoint Inhibitor.

Immunotherapy has altered the therapeutic landscape for patients with non-small-cell lung cancer (NSCLC). The immune checkpoint inhibitor pembrolizumab targets the PD-1/PD-L1 signaling axis and produces durable clinical responses, but reliable biomarkers are lacking. Using 115 plasma samples from 42 pembrolizumab-treated patients with NSCLC, we were able to identify predictive biomarkers. In the plasma samples, we quantified the level of 92 proteins using the Olink proximity extension assay and circulating tumor DNA (ctDNA) using targeted next-generation sequencing. Patients with an above-median progression-free survival (PFS) had significantly higher expressions of Fas ligand (FASLG) and inducible T-cell co-stimulator ligand (ICOSLG) at baseline than patients with a PFS below the median. A Kaplan-Meier analysis demonstrated that high levels of FASLG and ICOSLG were predictive of longer PFS and overall survival (OS) (PFS: 10.83 vs. 4.49 months, OS: 27.13 vs. 18.0 months). Furthermore, we identified a subgroup with high expressions of FASLG and ICOSLG who also had no detectable ctDNA mutations after treatment initiation. This subgroup had significantly longer PFS and OS rates compared to the rest of the patients (PFS: 25.71 vs. 4.52 months, OS: 34.62 vs. 18.0 months). These findings suggest that the expressions of FASLG and ICOSLG at baseline and the absence of ctDNA mutations after the start of treatment have the potential to predict clinical outcomes.

Trans-Regulation of Alternative PD-L1 mRNA Processing by CDK12 in Non-Small-Cell Lung Cancer Cells.

Immunotherapy using checkpoint inhibitors targeting the interaction between PD-1 on T cells and PD-L1 on cancer cells has shown significant results in non-small-cell lung cancer (NSCLC). Not all patients respond to the therapy, and PD-L1 expression heterogeneity is proposed to be one determinant for this. The alternative processing of PD-L1 RNA, which depends on an alternative poly-A site in intron 4, generates a shorter mRNA variant (PD-L1v4) encoding soluble PD-L1 (sPD-L1), relative to the canonical PD-L1v1 mRNA encoding membrane-associated PD-L1 (mPD-L1). This study aimed to identify factors influencing the ratio between these two PD-L1 mRNAs in NSCLC cells. First, we verified the existence of the alternative PD-L1 RNA processing in NSCLC cells, and from in silico analyses, we identified a candidate list of regulatory factors. Examining selected candidates showed that CRISPR/Cas9-generated loss-of-function mutations in CDK12 increased the PD-L1v4/PD-L1v1 mRNA ratio and, accordingly, the sPD-L1/mPD-L1 balance. The CDK12/13 inhibitor THZ531 could also increase the PD-L1v4/PD-L1v1 mRNA ratio and impact the PD-L1 transcriptional response to IFN-γ stimulation. The fact that CDK12 regulates PD-L1 transcript variant formation in NSCLC cells is consistent with CDK12's role in promoting transcriptional elongation over intron-located poly-A sites. This study lays the groundwork for clinical investigations to delineate the implications of the CDK12-mediated balancing of sPD-L1 relative to mPD-L1 for immunotherapeutic responses in NSCLC.

Comparison of culture media reveals that non-essential amino acids strongly affect the phenotype of human monocyte-derived macrophages.

Macrophages are important innate immune cells with the ability to adapt their phenotype to environmental cues. Research on human macrophages often uses monocyte-derived macrophages cultured in vitro, but it is unclear if culture medium affects macrophage phenotype. The objective of this study was to determine the impact of culture medium composition on monocyte-derived macrophage phenotype. Monocyte-derived macrophages were generated in different formulations of culture media (RPMI 1640, DMEM, MEM, McCoy's 5a and IMDM). Viability, yield and cell size were monitored, and RT-qPCR, flow cytometry or ELISA was used to compare levels of phenotype markers (CD163, CD206, CD80, TNFα, IL-10, SIRPα, LILRB1 and Siglec-10). Yield, cell size, gene expression, membrane protein levels and release of soluble proteins were all affected by changes in culture medium composition. The most pronounced effects were observed after culture in DMEM, which lacks the non-essential amino acids asparagine, aspartic acid, glutamic acid and proline. Supplementation of DMEM with non-essential amino acids either fully or partly reversed most effects of DMEM on macrophage phenotype. The results suggest culture medium composition and amino acid availability affect the phenotype of human monocyte-derived macrophages cultured in vitro.

Blood tumor mutational burden and dynamic changes in circulating tumor DNA predict response to pembrolizumab treatment in advanced non-small cell lung cancer.

Background: The use of immunotherapy targeting the programmed cell death protein-1 (PD-1) and its ligand (PD-L1) has provided new hope for patients with non-small cell lung cancer (NSCLC). However, good biomarkers are needed to identify which patients will benefit from the treatment. In this study, we investigated if circulating tumor DNA (ctDNA) could predict response to pembrolizumab. Methods: Plasma samples from patients with NSCLC treated with pembrolizumab were collected immediately before and after one or two cycles of treatment. ctDNA was isolated and analyzed using targeted next-generation sequencing with a lung cancer gene panel. Results: Mutations were detected in ctDNA in 83.93% of patients before treatment initiation. High blood tumor mutational burden (bTMB), measured as the number of different mutations per Mb panel, correlated to longer progression-free survival (PFS) (10.45 vs. 2.30 months) and overall survival (OS) (21.80 vs. 12.20 months), whereas no predictive value was found in the number of mutant molecules per mL of plasma. The absence of mutations just after treatment initiation correlated with improved PFS (20.25 vs. 4.18 months) and OS (28.93 vs. 15.33 months). High bTMB before treatment was associated with a decreasing ctDNA level after treatment initiation. Importantly, a subgroup of patients experienced an increase in the ctDNA level after treatment initiation, and this correlated with inferior PFS (2.19 vs. 11.21 months) and OS (7.76 vs. 24.20 months). All patients in the subgroup with increased ctDNA level progressed within 10 months. Conclusions: Monitoring of ctDNA contains vital information about response to therapy, where the bTMB and the dynamics in the initial part of treatment are particularly important for response. Increasing ctDNA levels after treatment initiation are significantly correlated with inferior survival.

Examination of the Functional Relationship between PD-L1 DNA Methylation and mRNA Expression in Non-Small-Cell Lung Cancer.

Immunotherapy targeting the interaction between programmed cell death protein 1 (PD-1) and programmed death-ligand 1 (PD-L1) is a treatment option for patients with non-small-cell lung cancer (NSCLC). The expression of PD-L1 by the NSCLC cells determines treatment effectiveness, but the relationship between PD-L1 DNA methylation and expression has not been clearly described. We investigated PD-L1 DNA methylation, mRNA expression, and protein expression in NSCLC cell lines and tumor biopsies. We used clustered regularly interspaced short palindromic repeats-associated protein 9 (CRISPR-Cas9) to modify PD-L1 genetic contexts and endonuclease deficient Cas9 (dCas9) fusions with ten-eleven translocation methylcytosine dioxygenase 1 (TET1) and DNA (cytosine-5)-methyltransferase 3A (DNMT3A) to manipulate PD-L1 DNA methylation. In NSCLC cell lines, we identified specific PD-L1 CpG sites with methylation levels inversely correlated with PD-L1 mRNA expression. However, inducing PD-L1 mRNA expression with interferon-γ did not decrease the methylation level for these CpG sites, and using CRISPR-Cas9, we found that the CpG sites did not directly confer a negative regulation. dCas9-TET1 and dCas9-DNMT3A could induce PD-L1 hypo- and hyper-methylation, respectively, with the latter conferring a decrease in expression showing the functional impact of methylation. In NSCLC biopsies, the inverse correlation between the methylation and expression of PD-L1 was weak. We conclude that there is a regulatory link between PD-L1 DNA methylation and expression. However, since these measures are weakly associated, this study highlights the need for further research before PD-L1 DNA methylation can be implemented as a biomarker and drug target for measures to improve the effectiveness of PD-1/PD-L1 immunotherapy in NSCLC.

Circulating immune response proteins predict the outcome following disease progression of osimertinib treated epidermal growth factor receptor-positive non-small cell lung cancer patients.

Background: Lung cancer patients with sensitizing epidermal growth factor receptor (EGFR) mutations treated with osimertinib will eventually develop progressive disease (PD). The survival following PD varies greatly between patients, and no effective treatment strategy has been established. Furthermore, at the moment, no easily accessible and precise biomarker exists that can predict the survival after PD. Methods: We analyzed blood samples drawn from non-small cell lung cancer patients harboring EGFR mutations that were treated with osimertinib. The levels of 92 circulating proteins were analyzed from plasma samples using a proximity extension assay (PEA). The results were evaluated with Gene Ontology (GO) enrichment analysis to reveal patterns of protein expression at progression while on osimertinib treatment. Results: We found that the expression of 7 proteins were significantly altered at PD, compared to a sample taken at osimertinib response. GO enrichment analysis demonstrated that most of the significant proteins were related to the immune system, specifically the adaptive immune response. Defining two groups of patients, based on the levels of circulating immune response proteins at PD, revealed significant differences in the overall survival (OS) after PD [hazard ratio (HR) =3.04; 95% confidence interval (CI): 1.24-7.45; P=0.0046]. Conclusions: In this study, we discover novel circulating biomarkers that can predict the OS after PD on osimertinib. These findings support the recent acknowledgement of the immune system's importance in osimertinib resistance.

Metabolism of 25-Hydroxy-Vitamin D in Human Macrophages Is Highly Dependent on Macrophage Polarization.

Macrophages synthesize active vitamin D (1,25-dihydroxy-vitamin D) and express the vitamin D receptor in the nucleus; however, vitamin D metabolism in relation to macrophage polarization and function is not well understood. We studied monocyte-derived macrophages (MDMs) from human buffy coats polarized into M0, M1 (LPS + IFNγ), M2a (IL4 + IL13) and M2c (IL10) macrophage subtypes stimulated with 25-hydroxy-vitamin D (1000 and 10,000 nanomolar). We measured vitamin D metabolites (25-hydroxy-vitamin D, 1,25-dihydroxy-vitamin D, 24,25-dihydroxy-vitamin D and 3-epi-25-hydroxy-vitamin D) in cell media with liquid chromatography-mass spectrometry-mass spectrometry. The mRNA expression (CYP27B1, CYP24A1 and CYP24A1-SV) was measured with qPCR. We found that reparative MDMs (M2a) had significantly more 1,25-dihydroxy-vitamin D compared to the other MDMs (M0, M1 and M2c). All MDMs were able to produce 3-epi-25-hydroxy-vitamin D, but this pathway was almost completely attenuated in inflammatory M1 MDMs. All MDM subtypes degraded vitamin D through the 24-hydroxylase pathway, although M1 MDMs mainly expressed an inactive splice variant of CYP24A1, coding the degrading enzyme. In conclusion, this study shows that vitamin D metabolism is highly dependent on macrophage polarization and that the C3-epimerase pathway for vitamin D is active in macrophages.

STAT3 is over-activated within CD163pos bone marrow macrophages in both Multiple Myeloma and the benign pre-condition MGUS.

Tumour-associated macrophages (TAMs) support cancer cell survival and suppress anti-tumour immunity. Tumour infiltration by CD163pos TAMs is associated with poor outcome in several human malignancies, including multiple myeloma (MM). Signal transducer and activator of transcription 3 (STAT3) is over-activated in human cancers, and specifically within TAMs activation of STAT3 may induce an immunosuppressive (M2-like) phenotype. Therefore, STAT3-inhibition in TAMs may be a future therapeutic strategy.We investigated TAM markers CD163, CD206, and activated STAT3 (pSTAT3) in patients with MGUS (n = 32) and MM (n = 45), as well as healthy controls (HCs, n = 13).Blood levels of the macrophage biomarkers sCD163 and sCD206, and circulating cytokines, as well as bone marrow mRNA expression of CD163 and CD206, were generally increased in MGUS and MM patients, compared to HCs, but to highly similar levels. By immunohistochemistry, bone marrow levels of pSTAT3 were increased specifically within CD163pos cells in both MGUS and MM patients.In conclusion, macrophage-related inflammatory changes, including activation of STAT3, were present already at the MGUS stage, at similar levels as in MM. Specific increase in pSTAT3 levels within CD163pos cells supports that the CD163 scavenger receptor may be a useful target for future delivery of STAT3-inhibitory drugs to TAMs in MM patients.

Soluble PD-1 (sPD-1) is expressed in human macrophages.

The PD-1/PD-L1 axis plays a crucial role in regulating the anti-tumour immune response. A soluble PD-1 protein (sPD-1) has previously been observed, which could block the binding of PD-L1 to PD-1. Tumour associated macrophages are abundant in tumours, and evidence suggest they express PD-1. However, whether they also express sPD-1 remains unclear. The objective of this study was to investigate expression of sPD-1 in two in vitro models of human macrophages: THP-1 cells and monocyte-derived macrophages (MDM). Cells were polarised with either LPS + IFN-γ or IL-4 + IL-13 or left unpolarised. PD-1 and sPD-1 mRNAs were measured using droplet digital PCR, sPD-1 protein by electrochemiluminescence immunoassay and PD-1 by flow cytometry. sPD-1 mRNA was induced in both THP-1 cells and MDM after polarisation with LPS + IFN-γ, while IL-4 + IL-13 induced sPD-1 mRNA in MDM only. sPD-1 protein was measurable in culture supernatants. These findings show that macrophages can be induced to express sPD-1.

Co-occurring MET Amplification Predicts Inferior Clinical Response to First-Line Erlotinib in Advanced Stage EGFR-Mutated NSCLC Patients.

BACKGROUND: Intrinsic resistance is a major obstacle in treatment of non-small cell lung cancer (NSCLC) patients with an activating mutation in the epidermal growth factor receptor (EGFR). We investigated co-occurring genetic alterations in circulating tumor DNA (ctDNA) as predictive markers of clinical response to first-line erlotinib. METHODS: Pretreatment plasma samples were collected from 76 patients with EGFR-mutated, advanced-stage NSCLC treated with first-line erlotinib. We isolated ctDNA from plasma for next-generation sequencing. RESULTS: Co-occurring oncogenic drivers were detected in 21% of pretreatment samples and correlated with decreased progression-free survival (PFS) (6.9 months vs 14.4 months; hazard ratio [HR], 2.088; 95% confidence interval [CI], 0.8119-5.370; P = .0355). Concurrent MET amplification was identified in 9 samples (12%), predicting inferior PFS (5.5 months vs 14.4 months; HR, 4.750; 95% CI, 0.5923-38.10; P = .0007) and overall survival (7.6 months vs 28.3 months; HR, 3.952; 95% CI, 0.8441-18.50; P = .0005). Co-occurring non-MET-amplification oncogenic alterations showed a tendency for shorter PFS (9.9 months vs 14.4 months; HR, 1.199; 95% CI, 0.3373-4.265; P = .7586). Clearing EGFR-mutated ctDNA during erlotinib treatment is a positive predictor of clinical outcomes. Among patients who cleared the EGFR mutation, 12% had a co-occurring oncogenic driver, with a tendency toward inferior PFS (8.7 months vs 16.1 months; HR, 1.703; 95% CI, 0.5347-5.424; P = .2508). CONCLUSION: Co-occurring MET amplification in pretreatment ctDNA samples predict inferior clinical response to first-line erlotinib in advanced-stage, EGFR-mutated NSCLC patients. Co-occurring oncogenic alterations were associated with inferior response and may be potential predictors of clinical outcome.

TERT promoter mutated circulating tumor DNA as a biomarker for prognosis in hepatocellular carcinoma.

BACKGROUND AND AIMS: Plasma circulating tumor DNA (ctDNA) with tumor-specific mutations is an attractive biomarker. The telomerase reverse transcriptase (TERT) C228T promoter mutation is the most prevalent tumor-associated mutation in hepatocellular carcinoma (HCC). We evaluated the presence and prognostic value of the TERT C228T mutation in plasma and tissue in a Danish HCC cohort. METHODS: We analyzed ctDNA from 95 HCC patients and 45 liver cirrhotic patients without HCC for the TERT mutation using droplet digital polymerase chain reaction. We also analyzed DNA from the corresponding primary tumor tissues in 34 HCC patients. RESULTS: The plasma TERT C228T mutation was detected in 42/95 HCC patients (44%) but in none of the non-HCC patients. The TERT mutation was detected in 23/34 tumor samples (68%). The TERT mutation was associated with increased mortality when detected in plasma (adjusted HR 2.16 (1.20-3.88), p = .010) but not in tumor tissue (adjusted HR 1.11 (0.35-3.56), p = .860). There was a positive correlation between the presence of the TERT mutation in plasma and an advanced TNM stage (p < .0001) and vascular invasion (p = .005). Analysis of the TERT mutation in plasma and tumor DNA from the same patient was concordant in 21/34 samples (62%; kappa value 0.31, p = .014). Non-concordance was associated with an early TNM stage. CONCLUSION: The plasma TERT mutation was detected in 44% of HCC patients and in none of non-HCC cirrhotic patients; and was associated with increased mortality. We propose the TERT C228T mutation in ctDNA as a promising HCC biomarker for prognosis.

Comprehensive analysis of soluble RNAs in human embryo culture media and blastocoel fluid.

PURPOSE: miRNAs have been suggested as biomarkers of embryo viability; however, findings from preliminary studies are divergent. Furthermore, the presence of other types of small RNA molecules remains to be investigated. The purpose of this study was to perform a comprehensive analysis of small non-coding RNA levels in spent and unconditioned embryo culture media, along with miRNA levels in blastocoelic fluid samples from human embryos. METHODS: miRNAs in unconditioned culture medium from 3 different manufacturers, along with miRNA from day 5 conditioned culture medium, control medium, and corresponding blastocoel fluid from 10 human blastocysts were analyzed with array-based q-PCR analysis. Subsequently, deep sequencing of total and small RNA in day 5 spent culture medium from 5 human blastocysts and corresponding controls was performed. RESULTS: In spite of using state-of-the-art sensitive detection methods, no miRNAs were found to be reliably present in the spent culture medium or the blastocoel fluid. Ct values were above the recommended limit for detection in the array-based analysis, a finding that was confirmed by deep sequencing. The majority of miRNAs identified by deep sequencing were expressed in all samples including control media and seem to originate from sources other than conditioned IVF media. CONCLUSIONS: Our findings question the use of miRNAs as a reliable biomarker and highlight the need for a critical methodological approach in miRNA studies. Interestingly, tiRNA fragments appear to be overexpressed in conditioned IVF media samples and could potentially be a novel biomarker worthy of investigation.

Intra-individual variation of circulating tumour DNA in lung cancer patients.

Circulating tumour DNA (ctDNA) has been increasingly incorporated into the treatment of cancer patients. ctDNA is generally accepted as a powerful diagnostic tool, whereas the utility of ctDNA to monitor disease activity needs to be fully validated. Central to this challenge is the question of whether changes in longitudinal ctDNA measurements reflect disease activity or merely biological variation. Thus, the aim of this study was to explore the intra-individual biological variation of ctDNA in lung cancer patients. We identified tumour-specific mutations using next-generation sequencing. Day-to-day and hour-to-hour variations in plasma concentrations of the mutant allele and wild-type cell-free DNA (cfDNA) were determined using digital PCR. The levels of the mutant alleles varied by as much as 53% from day to day and 27% from hour to hour. cfDNA varied up to 19% from day to day and up to 56% from hour to hour, as determined using digital PCR. Variations were independent of the concentration. Both mutant allele concentrations and wild-type cfDNA concentrations showed considerable intra-individual variation in lung cancer patients with nonprogressive disease. This pronounced biological variation of the circulating DNA should be investigated further to determine whether ctDNA can be used for monitoring cancer activity.

The prognostic role of inflammation-scores on overall survival in lung cancer patients.

OBJECTIVE: Inflammation has been validated as a host-related prognostic marker in cancer. The Glasgow Prognostic score (GPS) and neutrophil-to-lymphocyte ratio (NLR) are suggested measures of inflammation. However, the allocation of patients has been questioned. Hence, optimized inflammation-scores has been developed, such as the combined NLR and GPS (CNG) system, and the Aarhus composite biomarker score (ACBS). So far, these optimized inflammation-scores have not been validated in lung cancer patients. We evaluated if the optimized inflammation-scores were prognostic markers of inferior survival in lung cancer patients. Furthermore, we tested which of the optimized inflammation-scores led to better patient-allocation. MATERIAL AND METHODS: The cohort of this prospective study composed of 275 non-small cell lung cancer patients. We evaluated pre-diagnostic serum biomarkers for GPR, NLR, platelet-to-lymphocyte ratio as well as the optimized inflammation-scores CNG and ABCS as predictors of overall survival (OS), and we examined the patient-allocation derived from each inflammation-score. RESULTS: Each of the evaluated inflammation-scores could predict the overall survival even when adjustments were made for comorbidity and clinicopathological characteristics. When comparing the scores, the optimized inflammation-scores CNG and ACBS led to a better and more balanced patient-allocation. In the early clinical stages I & II, the optimized scores could reveal a subgroup of patients with poorer survival that is similar to stage III. CONCLUSION: In this cohort of lung cancer patients, we demonstrate that inflammation-scores are prognostic markers of inferior survival. Furthermore, we demonstrate that the optimized inflammation-scores CNG and ACBS lead to better patient-allocation independently of the clinicopathological characteristics and comorbidity.

Soluble HER3 predicts survival in bladder cancer patients.

The role of soluble human epidermal growth factor receptor (sHER3) in bladder cancer remains unclear. In the present study, an ELISA was developed for the quantification of sHER3 and its role was investigated in patients with bladder cancer (n=82) followed for 10 years. Furthermore, the effects of sHER3 on bladder cancer cell growth and migration were also investigated. The results demonstrated that plasma sHER3 levels were significantly higher in non-invasive tumours (Ta) compared with muscle-invasive tumours (T2-T4). Higher sHER3 levels were associated with a more improved survival rate. However multivariate Cox regression analysis, adjusted for clinical stage, grade, type and size of the tumour, demonstrated that sHER3 was not an independent biomarker of survival. Exogenous sHER3 significantly inhibited bladder cancer cell growth and migration. These results suggest that high sHER3 levels are associated with improved survival rates in patients with bladder cancer, and that sHER3 inhibits bladder cancer cell growth and migration.

Early Change in FDG-PET Signal and Plasma Cell-Free DNA Level Predicts Erlotinib Response in EGFR Wild-Type NSCLC Patients.

INTRODUCTION: Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a treatment option in the second- or third-line palliative setting in EGFR wild-type (wt) non-small cell lung cancer (NSCLC) patients. However, response rates are low, and only approximately 25% will achieve disease control. Early prediction of treatment resistance could accelerate discontinuation of ineffective treatment and reduce unnecessary toxicity. In this study, we evaluated early changes on 18F-fluoro-D-glucose (F-18-FDG) positron emission tomography/computed tomography (PET/CT) and in total plasma cell-free DNA (cfDNA) as markers of erlotinib response in EGFR-wt patients. METHODS: F-18-FDG-PET/CT scans and blood samples were obtained prior to erlotinib initiation and were repeated after 1 week (PET/CT) and 1 to 4 weeks (blood sample) of treatment. Level of cfDNA was measured by droplet digital polymerase chain reaction. Percentage change (%∆) in SULpeak and total lesion glycolysis (TLG) on FDG-PET/CT and in plasma cfDNA was correlated to radiological response, progression-free survival (PFS), and overall survival (OS). RESULTS: Fifty patients were prospectively enrolled. A significant correlation was found between CT response and %∆TLG (P=.003). All patients with early metabolic progression showed radiological progression. Increased %∆TLG and %∆cfDNA were significantly correlated with shorter PFS (P=.002 and P=.004, respectively) and OS (P=.009 and P=.009, respectively). Multivariate analysis indicated %∆cfDNA to be the strongest predictor of OS. CONCLUSION: Early increase in TLG on F-18-FDG-PET/CT correlates with radiological progression, and shorter PFS and OS. Early increase in cfDNA predicts shorter PFS and OS. Both assessments are promising tools for early detection of nonresponders and reduced OS in TKI-treated EGFR-wt NSCLC patients.

Gene Expression of the EGF System-a Prognostic Model in Non-Small Cell Lung Cancer Patients Without Activating EGFR Mutations.

OBJECTIVES: Contradicting results have been demonstrated for the expression of the epidermal growth factor receptor (EGFR) as a prognostic marker in non-small cell lung cancer (NSCLC). The complexity of the EGF system with four interacting receptors and more than a dozen activating ligands is a likely explanation. The aim of this study is to demonstrate that the combined network of receptors and ligands from the EGF system is a prognostic marker. MATERIAL AND METHODS: Gene expression of the receptors EGFR, HER2, HER3, HER4, and the ligands AREG, HB-EGF, EPI, TGF-α, and EGF was measured by quantitative polymerase chain reaction in tumor samples from 100 NSCLC patients without EGFR activating mutations. Results were dichotomized into high or low levels of target expression. Coexpression of the ligands and receptors was observed, and a score was developed based on the summed effect of receptors and ligands. Akaike's information criteria selected the optimal score. Results were correlated with age, sex, stage, histology, performance status, and overall survival. RESULTS: Patients were randomly split 1:1 to create test and validation cohorts. In multivariate analyses, the only individual prognostic marker was EPI (hazard ratio [HR] 0.38 [0.20-0.72], P = .003). The optimal score in the test cohort was validated as a marker of inferior survival in the validation cohort and by bootstrapping. Multivariate analysis confirmed the combined score as a prognostic marker of inferior survival (HR 3.75 [2.17-6.47], P < .00001). CONCLUSION: Our study has developed a model that takes the complexity of the EGF system into account and shows that this model is a strong prognostic marker in NSCLC patients.

Ultra-micro samples can be used for mRNA quantification of lung cancer biomarkers.

BACKGROUND: Isolating sufficient material for molecular testing remains challenging in non-small cell lung cancer (NSCLC). The use of new ultra-microsamples (uMS) is proven sufficient for DNA and mRNA detection, but whether uMS are useful for quantifying mRNA expression is unknown. We investigated if uMS from lung cancer patients can be used to generate quantitative data on mRNA expression. METHODS: uMS were collected from primary tumors and lymph nodes from patients suspected of having lung cancer. mRNA was isolated, reverse-transcribed into cDNA and quantified with quantitative PCR assays for hepatocyte growth factor receptor (MET), hepatocyte growth factor (HGF), epidermal growth factor receptor (EGFR) and amphiregulin (AREG) mRNA. The fraction of tumor cells to normal cells was estimated in each sample. RESULTS: MET, HGF, EGFR, and AREG expression were evaluated in 90 samples (30 containing cancer cells and 60 without cancer cells). MET and EGFR expression were negligible in samples without cancer cells. In samples containing cancer cells, MET and EGFR could be quantified in 13 samples each. Adjustment for tumor-cell fraction made it possible to obtain a quantitative result for the tumor-cell mRNA expression of MET and EGFR. In contrast, AREG and HGF were expressed in samples without tumor cells. These samples were used to establish the AREG and HGF mRNA expression in normal cells. Seven out of 14 AR-positive and two out of eight HGF-positive samples with tumor cells were above a cut-off of the mean + 2SD established in samples without tumor cells. CONCLUSION: We demonstrate that uMS contain high-quality mRNA, and quantitative studies can be performed when the tumor-cell fraction is considered.

Exosomal proteins as potential diagnostic markers in advanced non-small cell lung carcinoma.

BACKGROUND: Lung cancer is one of the leading causes of cancer-related death. At the time of diagnosis, more than half of the patients will have disseminated disease and, yet, diagnosing can be challenging. New methods are desired to improve the diagnostic work-up. Exosomes are cell-derived vesicles displaying various proteins on their membrane surfaces. In addition, they are readily available in blood samples where they constitute potential biomarkers of human diseases, such as cancer. Here, we examine the potential of distinguishing non-small cell lung carcinoma (NSCLC) patients from control subjects based on the differential display of exosomal protein markers. METHODS: Plasma was isolated from 109 NSCLC patients with advanced stage (IIIa-IV) disease and 110 matched control subjects initially suspected of having cancer, but diagnosed to be cancer free. The Extracellular Vesicle Array (EV Array) was used to phenotype exosomes directly from the plasma samples. The array contained 37 antibodies targeting lung cancer-related proteins and was used to capture exosomes, which were visualised with a cocktail of biotin-conjugated CD9, CD63 and CD81 antibodies. RESULTS: The EV Array analysis was capable of detecting and phenotyping exosomes in all samples from only 10 µL of unpurified plasma. Multivariate analysis using the Random Forests method produced a combined 30-marker model separating the two patient groups with an area under the curve of 0.83, CI: 0.77-0.90. The 30-marker model has a sensitivity of 0.75 and a specificity of 0.76, and it classifies patients with 75.3% accuracy. CONCLUSION: The EV Array technique is a simple, minimal-invasive tool with potential to identify lung cancer patients.