Artificial Intelligence-Powered Hematoxylin and Eosin Analyzer Reveals Distinct Immunologic and Mutational Profiles among Immune Phenotypes in Non-Small-Cell Lung Cancer.

The tumor microenvironment can be classified into three immune phenotypes: inflamed, immune excluded, and immune-desert. Immunotherapy efficacy has been shown to vary by phenotype; yet, the mechanisms are poorly understood and demand further investigation. This study unveils the mechanisms using an artificial intelligence-powered software called Lunit SCOPE. Artificial intelligence was used to classify 965 samples of non-small-cell lung carcinoma from The Cancer Genome Atlas into the three immune phenotypes. The immune and mutational profiles that shape each phenotype using xCell, gene set enrichment analysis with RNA-sequencing data, and cBioportal were described. In the inflamed subtype, which showed higher cytolytic score, the enriched pathways were generally associated with immune response and immune-related cell types were highly expressed. In the immune excluded subtype, enriched glycolysis, fatty acid, and cholesterol metabolism pathways were observed. The KRAS mutation, BRAF mutation, and MET splicing variant were mostly observed in the inflamed subtype. The two prominent mutations found in the immune excluded subtype were EGFR and PIK3CA mutations. This study is the first to report the distinct immunologic and mutational landscapes of immune phenotypes, and demonstrates the biological relevance of the classification. In light of these findings, the study offers insights into potential treatment options tailored to each immune phenotype.

Artificial Intelligence-based Radiomics in the Era of Immuno-oncology.

The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and spurred further research into tumor biology. Yet, cancer patients respond variably to immunotherapy despite mounting evidence to support its efficacy. Current methods for predicting immunotherapy response are unreliable, as these tests cannot fully account for tumor heterogeneity and microenvironment. An improved method for predicting response to immunotherapy is needed. Recent studies have proposed radiomics-the process of converting medical images into quantitative data (features) that can be processed using machine learning algorithms to identify complex patterns and trends-for predicting response to immunotherapy. Because patients undergo numerous imaging procedures throughout the course of the disease, there exists a wealth of radiological imaging data available for training radiomics models. And because radiomic features reflect cancer biology, such as tumor heterogeneity and microenvironment, these models have enormous potential to predict immunotherapy response more accurately than current methods. Models trained on preexisting biomarkers and/or clinical outcomes have demonstrated potential to improve patient stratification and treatment outcomes. In this review, we discuss current applications of radiomics in oncology, followed by a discussion on recent studies that use radiomics to predict immunotherapy response and toxicity.

Physiological and Clinical Assessment of Resting Physiological Indexes.

BACKGROUND: Recently, resting pressure-derived indexes such as resting full-cycle ratio (RFR) and diastolic pressure ratio (dPR) have been introduced to assess the functional significance of epicardial coronary stenosis. The present study sought to investigate the agreement of RFR or dPR with other pressure-derived indexes (instantaneous wave-free ratio [iFR] or fractional flow reserve), the sensitivity of RFR or dPR for anatomic or hemodynamic stenosis severity, and the prognostic implications of RFR or dPR compared with iFR Methods: RFR and dPR were calculated from resting pressure tracings by an independent core laboratory in 1024 vessels (435 patients). The changes in resting physiological indexes according to diameter stenosis were compared among iFR, RFR, and dPR. Among 115 patients who underwent 13N-ammonia positron emission tomography, the changes in those indexes according to basal and hyperemic stenosis resistance and absolute hyperemic myocardial blood flow were compared. The association between resting physiological indexes and the risk of 2-year vessel-oriented composite outcomes (a composite of cardiac death, vessel-related myocardial infarction, and vessel-related ischemia-driven revascularization) was analyzed among 864 deferred vessels. RESULTS: Both RFR and dPR showed a significant correlation with iFR ( R=0.979, P<0.001 for RFR; and R=0.985, P<0.001 for dPR), which was higher than that with fractional flow reserve ( R=0.822, P<0.001; and R=0.819, P<0.001, respectively). RFR and dPR showed a very high agreement with iFR (C index, 0.987 and 0.993). Percent difference of iFR, RFR, and dPR according to the increase in anatomic and hemodynamic severity was almost identical. The diagnostic performance of iFR, RFR, and dPR was not different in the prediction of myocardial ischemia defined by both low hyperemic myocardial blood flow and low coronary flow reserve by 13N-ammonia positron emission tomography. All resting physiological indexes showed significant association with the risk of 2-year vessel-oriented composite outcomes (iFR per 0.1 increase: hazard ratio, 0.514 [95% CI, 0.370-0.715], P<0.001; RFR per 0.1 increase: hazard ratio, 0.524 [95% CI, 0.378-0.725], P<0.001; dPR per 0.1 increase: hazard ratio, 0.587 [95% CI, 0.436-0.791], P<0.001) in deferred vessels. CONCLUSIONS: All resting pressure-derived physiological indexes (iFR, RFR, and dPR) can be used as invasive tools to guide treatment strategy in patients with coronary artery disease. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov . Unique identifier: NCT01621438.

Relevance of anatomical, plaque, and hemodynamic characteristics of non-obstructive coronary lesions in the prediction of risk for acute coronary syndrome.

OBJECTIVES: We explored the anatomical, plaque, and hemodynamic characteristics of high-risk non-obstructive coronary lesions that caused acute coronary syndrome (ACS). METHODS: From the EMERALD study which included ACS patients with available coronary CT angiography (CCTA) before the ACS, non-obstructive lesions (percent diameter stenosis < 50%) were selected. CCTA images were analyzed for lesion characteristics by independent CCTA and computational fluid dynamics core laboratories. The relative importance of each characteristic was assessed by information gain. RESULTS: Of the 132 lesions, 24 were the culprit for ACS. The culprit lesions showed a larger change in FFRCT across the lesion (ΔFFRCT) than non-culprit lesions (0.08 ± 0.07 vs 0.05 ± 0.05, p = 0.012). ΔFFRCT showed the highest information gain (0.051, 95% confidence interval [CI] 0.050-0.052), followed by low-attenuation plaque (0.028, 95% CI 0.027-0.029) and plaque volume (0.023, 95% CI 0.022-0.024). Lesions with higher ΔFFRCT or low-attenuation plaque showed an increased risk of ACS (hazard ratio [HR] 3.25, 95% CI 1.31-8.04, p = 0.010 for ΔFFRCT; HR 2.60, 95% CI 1.36-4.95, p = 0.004 for low-attenuation plaque). The prediction model including ΔFFRCT, low-attenuation plaque and plaque volume showed the highest ability in ACS prediction (AUC 0.725, 95% CI 0.724-0.727). CONCLUSION: Non-obstructive lesions with higher ΔFFRCT or low-attenuation plaque showed a higher risk of ACS. The integration of anatomical, plaque, and hemodynamic characteristics can improve the noninvasive prediction of ACS risk in non-obstructive lesions. KEY POINTS: • Change in FFR CT across the lesion (ΔFFR CT ) was the most important predictor of ACS risk in non-obstructive lesions. • Non-obstructive lesions with higher ΔFFR CT or low-attenuation plaque were associated with a higher risk of ACS. • The integration of anatomical, plaque, and hemodynamic characteristics can improve the noninvasive prediction of ACS risk.

Clinical Outcome of Lesions With Discordant Results Among Different Invasive Physiologic Indices　- Resting Distal Coronary to Aortic Pressure Ratio, Resting Full-Cycle Ratio, Diastolic Pressure Ratio, Instantaneous Wave-Free Ratio, and Fractional Flow Reserve.

BACKGROUND: We evaluated the 2-year clinical outcomes of deferred lesions with discordant results between resting and hyperemic pressure-derived physiologic indices, including resting distal to aortic coronary pressure (resting Pd/Pa), instantaneous wave-free ratio (iFR), resting full-cycle ratio (RFR), diastolic pressure ratio (dPR), and fractional flow reserve (FFR).Methods and Results:The 2-year clinical outcomes of 1,024 vessels (435 patients) with available resting Pd/Pa, iFR, RFR, dPR, and FFR data were analyzed according to a 4-group classification using known cutoff values (resting Pd/Pa ≤0.92, iFR/RFR/dPR ≤0.89, and FFR ≤0.80): Group 1 (concordant normal), Group 2 (high resting index and low FFR), Group 3 (low resting index and high FFR), and Group 4 (concordance abnormal). The primary outcome was vessel-oriented composite outcomes (VOCO) in deferred vessels at 2 years. In the comparison of VOCO risk among 4 groups classified according to FFR and 4 resting physiologic indices, Group 4 consistently showed a significantly higher risk of VOCO than Group 1. Comparison of VOCO risk among 4 groups classified according to iFR and other resting physiologic indices also showed the same results. The presence of discordance, either between hyperemic and resting indices or among resting indices, was not an independent predictor for VOCO. CONCLUSIONS: Discordant results between resting physiologic indices and FFR and among the resting indices were not associated with increased risk of VOCO in deferred lesions.

Prognostic Impact of ß-Blocker Dose After Acute Myocardial Infarction.

BACKGROUND: The differential prognostic impact of ß-blocker dose after acute myocardial infarction (AMI) has been under debate. The current study sought to compare clinical outcome after AMI according to ß-blocker dose using the Korea Acute Myocardial Infarction Registry-National Institutes of Health (KAMIR-NIH). Methods and Results: Of the total population of 13,104 consecutive AMI patients enrolled in the KAMIR-NIH, the current study analyzed 11,909 patients. These patients were classified into 3 groups (no ß-blocker; low-dose [<25% of target dose]; and high-dose [≥25% of target dose]). The primary outcome was cardiac death at 1 year. Compared with the no ß-blocker group, both the low-dose and high-dose groups had significantly lower risk of cardiac death (HR, 0.435; 95% CI: 0.363-0.521, P<0.001; HR, 0.519; 95% CI: 0.350-0.772, P=0.001, respectively). The risk of cardiac death, however, was similar between the high- and low-dose groups (HR, 1.194; 95% CI: 0.789-1.808, P=0.402). On multivariable adjustment and inverse probability weighted analysis, the result was the same. CONCLUSIONS: The use of ß-blockers in post-AMI patients had significant survival benefit compared with no use of ß-blockers. There was no significant additional benefit of high-dose ß-blockers compared with low-dose ß-blockers, however, in terms of 1-year risk of cardiac death.

Influence of Local Myocardial Infarction on Endothelial Function, Neointimal Progression, and Inflammation in Target and Non-Target Vascular Territories in a Porcine Model of Acute Myocardial Infarction.

BACKGROUND: Patients with acute myocardial infarction (AMI) have worse clinical outcomes than those with stable coronary artery disease despite revascularization. Non-culprit lesions of AMI also involve more adverse cardiovascular events. This study aimed to investigate the influence of AMI on endothelial function, neointimal progression, and inflammation in target and non-target vessels. METHODS: In castrated male pigs, AMI was induced by balloon occlusion and reperfusion into the left anterior descending artery (LAD). Everolimus-eluting stents (EES) were implanted in the LAD and left circumflex (LCX) artery 2 days after AMI induction. In the control group, EES were implanted in the LAD and LCX in a similar fashion without AMI induction. Endothelial function was assessed using acetylcholine infusion before enrollment, after the AMI or sham operation, and at 1 month follow-up. A histological examination was conducted 1 month after stenting. RESULTS: A total of 10 pigs implanted with 20 EES in the LAD and LCX were included. Significant paradoxical vasoconstriction was assessed after acetylcholine challenge in the AMI group compared with the control group. In the histologic analysis, the AMI group showed a larger neointimal area and larger area of stenosis than the control group after EES implantation. Peri-strut inflammation and fibrin formation were significant in the AMI group without differences in injury score. The non-target vessel of the AMI also showed similar findings to the target vessel compared with the control group. CONCLUSION: In the pig model, AMI events induced endothelial dysfunction, inflammation, and neointimal progression in the target and non-target vessels.

Clinical implications of three-vessel fractional flow reserve measurement in patients with coronary artery disease.

Aims: There are limited data on the clinical implications of total physiologic atherosclerotic burden assessed by invasive physiologic studies in patients with coronary artery disease. We investigated the prognostic implications of total physiologic atherosclerotic burden assessed by total sum of fractional flow reserve (FFR) in three vessels (3V-FFR). Methods and results: A total of 1136 patients underwent FFR measurement in three vessels (3V FFR-FRIENDS study, NCT01621438). The patients were classified into high and low 3V-FFR groups according to the median value of 3V-FFR (2.72). The primary endpoint was major adverse cardiac events (MACE, a composite of cardiac death, myocardial infarction and ischaemia-driven revascularization) at 2 years. Mean angiographic percent diameter stenosis and FFR were 43.7 ± 19.3% and 0.90 ± 0.08, respectively. There was a negative correlation between 3V-FFR and estimated 2-year MACE rate (P < 0.001). The patients in low 3V-FFR group showed a higher risk of 2-year MACE than those in the high 3V-FFR group [(7.1% vs. 3.8%, hazard ratio (HR) 2.205, 95% confidence interval (CI) 1.201-4.048, P = 0.011]. The higher 2-year MACE rate was mainly driven by the higher rate of ischaemia-driven revascularization in the low 3V-FFR group (6.2% vs. 2.7%, HR 2.568, 95% CI 1.283-5.140, P = 0.008). In a multivariable adjusted model, low 3V-FFR was an independent predictor of MACE (HR 2.031, 95% CI 1.078-3.830, P = 0.029). Conclusion: Patients with high total physiologic atherosclerotic burden assessed by 3V-FFR showed higher risk of 2-year clinical events than those with low total physiologic atherosclerotic burden. The difference was mainly driven by ischaemia-driven revascularization for both functionally significant and insignificant lesions at baseline. Three-vessel FFR might be used as a prognostic indicator in patients with coronary artery disease. Clinical trial registration: 3V FFR-FRIENDS study (https://clinicaltrials.gov/ct2/show/NCT01621438, NCT01621438).

Exploring Coronary Circulatory Response to Stenosis and Its Association With Invasive Physiologic Indexes Using Absolute Myocardial Blood Flow and Coronary Pressure.

BACKGROUND: Although invasive physiological assessment for coronary stenosis has become a standard practice to guide treatment strategy, coronary circulatory response and changes in invasive physiological indexes, according to different anatomic and hemodynamic lesion severity, have not been fully demonstrated in patients with coronary artery disease. METHODS: One hundred fifteen patients with left anterior descending artery stenosis who underwent both 13N-ammonia positron emission tomography and invasive physiological measurement were analyzed. Myocardial blood flow (MBF) measured with positron emission tomography and invasively measured coronary pressures were used to calculate microvascular resistance and stenosis resistance. RESULTS: With progressive worsening of angiographic stenosis severity, both resting and hyperemic transstenotic pressure gradient and stenosis resistance increased (P<0.001 for all) and hyperemic MBF (P<0.001) and resting microvascular resistance (P=0.012) decreased. Resting MBF (P=0.383) and hyperemic microvascular resistance (P=0.431) were not changed and maintained stable. Both fractional flow reserve and instantaneous wave-free ratio decreased as angiographic stenosis severity, stenosis resistance, and transstenotic pressure gradient increased and hyperemic MBF decreased (all P<0.001). When the presence of myocardial ischemia was defined by both low hyperemic MBF and low coronary flow reserve, the diagnostic accuracy of fractional flow reserve and instantaneous wave-free ratio did not differ, regardless of cutoff values of hyperemic MBF and coronary flow reserve. CONCLUSIONS: This study demonstrated how the coronary circulation changes in response to increasing coronary stenosis severity using 13N-ammonium positron emission tomography-derived MBF and invasively measured pressure data. Currently used resting and hyperemic pressure-derived invasive physiological indexes have similar patterns of relationships to the different anatomic and hemodynamic lesion severities. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT01366404.

Atorvastatin prevents endothelial dysfunction in high glucose condition through Skp2-mediated degradation of FOXO1 and ICAM-1.

OBJECTIVE: The 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitor atorvastatin has been reported to exert vasculo-protective action in diabetes. We investigated the vasculo-protective mechanism of atorvastatin by evaluating its effect on two major pathogenic molecules, FOXO1 and ICAM1, mediated by S-phase kinase-associated protein 2 (Skp2) in diabetic endothelial dysfunction. APPROACH AND RESULTS: [1] FOXO1: Hyperglycemic condition increased FOXO1 protein level in endothelial cells, which was reversed by atorvastatin. This atorvastatin effect was obliterated by treatment of protease inhibitor, suggesting that atorvastatin induces degradation of FOXO1. Immunoprecipitation showed that atorvastatin facilitated the binding of Skp2 to FOXO1, leading to ubiquitination and degradation of FOXO1. [2] ICAM-1: Increased ICAM1 in high glucose condition was reduced by atorvastatin. But this effect of atorvastatin was obliterated when Skp2 was inhibited, suggesting that atorvastatin enhances binding of Skp2 to ICAM1 leading to degradation. Actually, ubiquitination and degradation of ICAM-1 were reduced when Skp2 was inhibited. In vitro monocyte adhesion assay revealed that atorvastatin reduced monocyte adhesion on endothelial cells in high glucose condition, which was reversed by Skp2 knock-down. CONCLUSION: Atorvastatin strengthens Skp2 binding to FOXO1 or ICAM1, leading to ubiquitination and degradation. Skp2-dependent ubiquitination of major pathogenic molecules is the key mechanism for statin's protective effect on endothelial function in diabetes.

Effects of Statin Intensity on Clinical Outcome in Acute Myocardial Infarction Patients.

BACKGROUND: There has been debate regarding the added benefit of high-intensity statins compared with low-moderate-intensity statins, especially in patients with acute myocardial infarction (AMI).Methods and Results:The Korea Acute Myocardial Infarction Registry-National Institutes of Health consecutively enrolled 13,104 AMI patients. Of these, a total of 12,182 patients, who completed 1-year follow-up, were included in this study, and all patients were classified into 3 groups (no statin; low-moderate-intensity statin; and high-intensity statin). The primary outcome was major adverse cardiac event (MACE) including cardiac death, non-fatal MI, and repeat revascularization at 1 year. Both low-moderate-intensity and high-intensity statin significantly reduced low-density lipoprotein cholesterol (LDL-C; all P<0.001). Compared with the no statin group, both statin groups had significantly lower risk of MACE (low-moderate intensity: HR, 0.506; 95% CI: 0.413-0.619, P<0.001; high intensity: HR, 0.464; 95% CI: 0.352-0.611, P<0.001). The risk of MACE, however, was similar between the low-moderate- and high-intensity statin groups (HR, 0.917; 95% CI: 0.760-1.107, P=0.368). Multivariable adjustment, propensity score matching, and inverse probability weighted analysis also produced the same results. CONCLUSIONS: When adequate LDL-C level is achieved, patients on a low-moderate-intensity statin dose have similar cardiovascular outcomes to those on high-intensity statins.

Percutaneous Coronary Intervention at Centers With and Without On-Site Surgical Backup: An Updated Meta-Analysis of 23 Studies.

BACKGROUND: Emergency coronary artery bypass grafting for unsuccessful percutaneous coronary intervention (PCI) is now rare. We aimed to evaluate the current safety and outcomes of primary PCI and nonprimary PCI at centers with and without on-site surgical backup. METHODS AND RESULTS: We performed an updated systematic review and meta-analysis by using mixed-effects models. We included 23 high-quality studies that compared clinical outcomes and complication rates of 1 101 123 patients after PCI at centers with or without on-site surgery. For primary PCI for ST-segment-elevation myocardial infarction (133 574 patients), all-cause mortality (without on-site surgery versus with on-site surgery: observed rates, 4.8% versus 7.2%; pooled odds ratio [OR], 0.99; 95% confidence interval, 0.91-1.07; P=0.729; I(2)=3.4%) or emergency coronary artery bypass grafting rates (observed rates, 1.5% versus 2.4%; pooled OR, 0.76; 95% confidence interval, 0.56-1.01; P=0.062; I(2)=42.5%) did not differ by presence of on-site surgery. For nonprimary PCI (967 549 patients), all-cause mortality (observed rates, 1.6% versus 2.1%; pooled OR, 1.15; 95% confidence interval, 0.94-1.41; P=0.172; I(2)=67.5%) and emergency coronary artery bypass grafting rates (observed rates, 0.5% versus 0.8%; pooled OR, 1.14; 95% confidence interval, 0.62-2.13; P=0.669; I(2)=81.7%) were not significantly different. PCI complication rates (cardiogenic shock, stroke, aortic dissection, tamponade, recurrent infarction) also did not differ by on-site surgical capability. Cumulative meta-analysis of nonprimary PCI showed a temporal decrease of the effect size (OR) for all-cause mortality after 2007. CONCLUSIONS: Clinical outcomes and complication rates of PCI at centers without on-site surgery did not differ from those with on-site surgery, for both primary and nonprimary PCI. Temporal trends indicated improving clinical outcomes in nonprimary PCI at centers without on-site surgery.

Pharmacological and Mechanical Thromboprophylaxis in Critically Ill Patients: a Network Meta-Analysis of 12 Trials.

Thromboprophylaxis for venous thromboembolism is widely used in critically ill patients. However, only limited evidence exists regarding the efficacy and safety of the various thromboprophylaxis techniques, especially mechanical thromboprophylaxis. Therefore, we performed meta-analysis of randomized controlled trials (RCTs) that compared the overall incidence of deep vein thrombosis (DVT) for between unfractionated heparin (UFH), low-molecular-weight heparin (LMWH), and intermittent pneumatic compression (IPC) in critically ill patients. A Bayesian random effects model for multiple treatment comparisons was constructed. The primary outcome measure was the overall incidence of DVT at the longest follow-up. The secondary outcome measure was the incidence of major bleeding, as defined by the original trials. Our analysis included 8,622 patients from 12 RCTs. The incidence of DVT was significantly lower in patients treated with UFH (OR, 0.45; 95% CrI, 0.22-0.83) or LMWH (OR, 0.38; 95% CrI, 0.18-0.72) than in patients in the control group. IPC was associated with a reduced incidence of DVT compared to the control group, but the effect was not statistically significant (OR, 0.50; 95% CrI, 0.20-1.23). The risk of DVT was similar for patients treated with UFH and LMWH (OR, 1.16; 95% CrI, 0.68-2.11). The risk of major bleeding was similar between the treatment groups in medical critically ill patients and also in critically ill patients with a high risk of bleeding. In critically ill patients, the efficacy of mechanical thromboprophylaxis in reducing the risk of DVT is not as robust as those of pharmacological thromboprophylaxis.

The impact of renin-angiotensin-aldosterone system blockade on contrast-induced nephropathy: a meta-analysis of 12 studies with 4,493 patients.

OBJECTIVES: This meta-analysis investigated the impact of renin-angiotensin-aldosterone system (RAAS) blockade on the occurrence of contrast-induced nephropathy (CIN). METHODS: Twelve studies comparing the use of RAAS blockade in a total of 4,493 patients undergoing a contrast-using procedure were included. The primary endpoint was the overall postprocedural incidence of CIN. RESULTS: In the overall pooled analysis, there was no significant difference between the two groups, RAAS blockade 'used' versus 'not-used', in the incidence of postprocedural CIN in the random-effects model (OR 1.27, 95% CI 1.77-2.11, p = 0.351, I(2) = 61.9%). In the stratified analysis, however, for chronic RAAS blockade users, the continuation of the drug was significantly associated with a higher incidence of CIN compared with discontinuation (OR 2.06, 95% CI 1.62-2.61, p < 0.001, I2 = 0.0%). A hazard of continuation was marked in a subgroup of older patients or in patients with chronic kidney disease. For drug-naïve patients, however, administration of RAAS blockade before contrast procedures did not reduce the development of CIN significantly (OR 0.52, 95% CI 0.23-1.16, p = 0.108, I2 = 34.2%). CONCLUSION: Discontinuation of RAAS blockade in chronic users is associated with a significantly lower incidence of CIN, whereas administration of RAAS blockade as a preventive measure for naïve patients did not show a significant effect on the incidence of CIN.

Stent coated with antibody against vascular endothelial-cadherin captures endothelial progenitor cells, accelerates re-endothelialization, and reduces neointimal formation.

OBJECTIVE: In contrast to CD34, vascular endothelial-cadherin (VE-cadherin) is exclusively expressed on the late endothelial progenitor cells (EPC) whereas not on the early or myeloid EPC. Thus, VE-cadherin could be an ideal target surface molecule to capture circulating late EPC. In the present study, we evaluated whether anti-VE-cadherin antibody-coated stents (VE-cad stents) might accelerate endothelial recovery and reduce neointimal formation through the ability of capturing EPC. METHODS AND RESULTS: The stainless steel stents were coated with rabbit polyclonal anti-human VE-cadherin antibodies and exposed to EPC for 30 minutes in vitro. The number of EPC that adhered to the surface of VE-cad stents was significantly higher than bare metal stents (BMS) in vitro, which was obliterated by pretreatment of VE-cad stent with soluble VE-cadherin proteins. We deployed VE-cad stents and BMS in the rabbit right and left iliac arteries, respectively. At 48 hours after stent deployment in vivo, CD-31-positive endothelial cells adhered to VE-cad stent significantly more than to BMS. At 3 days, scanning electron microscopy showed that over 90% surface of VE-cad stents was covered with endothelial cells, which was significantly different from BMS. At 42 days, neointimal area that was filled with smooth muscle cells positive for actin or calponin was significantly smaller in VE-cad stents than in BMS by histological analysis (0.95±0.22 versus 1.34±0.43 mm(2), respectively, P=0.02). Immuno-histochemical analysis revealed that infiltration of inflammatory cells was not significantly different between 2 stents. CONCLUSIONS: VE-cad stents captured EPC successfully in vitro, accelerated endothelial recovery on stent, and eventually reduced neointimal formation in vivo.

Deep learning features encode interpretable morphologies within histological images.

Convolutional neural networks (CNNs) are revolutionizing digital pathology by enabling machine learning-based classification of a variety of phenotypes from hematoxylin and eosin (H&E) whole slide images (WSIs), but the interpretation of CNNs remains difficult. Most studies have considered interpretability in a post hoc fashion, e.g. by presenting example regions with strongly predicted class labels. However, such an approach does not explain the biological features that contribute to correct predictions. To address this problem, here we investigate the interpretability of H&E-derived CNN features (the feature weights in the final layer of a transfer-learning-based architecture). While many studies have incorporated CNN features into predictive models, there has been little empirical study of their properties. We show such features can be construed as abstract morphological genes ("mones") with strong independent associations to biological phenotypes. Many mones are specific to individual cancer types, while others are found in multiple cancers especially from related tissue types. We also observe that mone-mone correlations are strong and robustly preserved across related cancers. Importantly, linear mone-based classifiers can very accurately separate 38 distinct classes (19 tumor types and their adjacent normals, AUC = [Formula: see text] for each class prediction), and linear classifiers are also highly effective for universal tumor detection (AUC = [Formula: see text]). This linearity provides evidence that individual mones or correlated mone clusters may be associated with interpretable histopathological features or other patient characteristics. In particular, the statistical similarity of mones to gene expression values allows integrative mone analysis via expression-based bioinformatics approaches. We observe strong correlations between individual mones and individual gene expression values, notably mones associated with collagen gene expression in ovarian cancer. Mone-expression comparisons also indicate that immunoglobulin expression can be identified using mones in colon adenocarcinoma and that immune activity can be identified across multiple cancer types, and we verify these findings by expert histopathological review. Our work demonstrates that mones provide a morphological H&E decomposition that can be effectively associated with diverse phenotypes, analogous to the interpretability of transcription via gene expression values. Our work also demonstrates mones can be interpreted without using a classifier as a proxy.

Endothelial progenitor cells functionally express inward rectifier potassium channels.

Since the first isolation of endothelial progenitor cells (EPCs) from human peripheral blood in 1997, many researchers have conducted studies to understand the characteristics and therapeutic effects of EPCs in vascular disease models. Nevertheless, the electrophysiological properties of EPCs have yet to be clearly elucidated. The inward rectifier potassium channel (Kir) performs a major role in controlling the membrane potential and cellular events. Here, via the whole cell patch-clamp technique, we found inwardly rectifying currents in EPCs and that these currents were inhibited by Ba(2+) (100 µM) and Cs(+) (1 mM), known as Kir blockers, in a dose-dependent manner (Ba(2+), 91.2 ± 1.4% at -140 mV and Cs(+), 76.1 ± 6.9% at -140 mV, respectively). Next, using DiBAC(3), a fluorescence indicator of membrane potential, we verified that Ba(2+) induced an increase of fluorescence in EPCs (10 µM, 123 ± 2.8%), implying the depolarization of EPCs. At the mRNA and protein levels, we confirmed the existence of several Kir subtypes, including Kir2.x, 3.x, 4.x, and 6.x. In a functional experiment, we observed that, in the presence of Ba(2+), the number of tubes on Matrigel formed by EPCs was dose-dependently reduced (10 µM, 62.3 ± 6.5%). In addition, the proliferation of EPCs was increased in a dose-dependent fashion (10 µM, 157.9 ± 17.4%), and specific inhibition of Kir2.1 by small interfering RNA also increased the proliferation of EPCs (116.2 ± 2.5%). Our results demonstrate that EPCs express several types of Kir which may modulate the endothelial function and proliferation of EPCs.

Association of HLA class I homozygosity with unfavorable clinical outcomes in patients with non-small cell lung cancer treated with chemo-immunotherapy or immunotherapy as first-line therapy.

BACKGROUND: Homozygosity at HLA-I locus has been reported to be an unfavorable predictive biomarker of second-line or beyond immunotherapy in patients with different types of cancer. The linkage between HLA-I zygosity and survival in NSCLC patients treated with first-line immunotherapy with or without chemotherapy has not been reported. METHODS: Next generation sequencing with HLA genotyping was performed on patients with advanced NSCLC treated with immune checkpoint inhibitors with or without chemotherapy as first-line (N = 29). Progression free survival was compared between HLA-I homozygous (defined as homozygosity in at least one locus A, B, or C) and heterozygous patients. Kaplan-Meier curves were built, and log-rank test was used. RESULTS: Among 29 enrollees, 25 patients (86.2%) were HLA-I heterozygous and four patients (13.8%) were HLA-I homozygous. Treatment response was not available in five patients with HLA-I heterozygosity. Among 20 patients with HLA-I heterozygosity, five patients (20.0%) had partial response, 10 patients (50.0%) had stable disease, two patients (8.0%) had non-complete response/non-progressive disease, and three patients (12.0%) had progressive disease. Among four patients with HLA-I heterozygosity, one patient (25.0%) had partial response, one patient (25.0%) had stable disease, and two patients (50.0%) had progressive disease. The median progression free survival was not reached in heterozygous group and was 2.97 months in homozygous group (Log-rank p = 0.68). CONCLUSIONS: We observed a trend toward an inverse association between HLA-I homozygosity and survival outcomes in patients with NSCLC treated with first-line therapy in conjunction with immunotherapy. Further prospective studies to validate aforementioned relationship are warranted.

Blood transfusions may adversely affect survival outcomes of patients with lung cancer: a systematic review and meta-analysis.

BACKGROUND: Despite common use in clinical practice, the impact of blood transfusions on prognosis among patients with lung cancer remains unclear. The purpose of the current study is to perform an updated systematic review and meta-analysis to evaluate the influence of blood transfusions on survival outcomes of lung cancer patients. METHODS: We searched PubMed, Embase, Cochrane Library, and Ovid MEDLINE for publications illustrating the association between blood transfusions and prognosis among people with lung cancer from inception to November 2019. Overall survival (OS) and disease-free survival (DFS) were the outcomes of interest. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were computed using the random-effects model. Study heterogeneity was evaluated with the I2 test. Publication bias was explored via funnel plot and trim-and-fill analyses. RESULTS: We included 23 cohort studies with 12,175 patients (3,027 cases and 9,148 controls) for meta-analysis. Among these records, 22 studies investigated the effect of perioperative transfusions, while one examined that of transfusions during chemotherapy. Two studies suggested the possible dose-dependent effect in accordance with the number of transfused units. In pooled analyses, blood transfusions deleteriously influenced both OS (HR=1.35, 95% CI: 1.14-1.61, P<0.001, I2=0%) and DFS (HR=1.46, 95% CI: 1.15-1.86, P=0.001, I2=0%) of people with lung cancer. No evidence of significant publication bias was detected in funnel plot and trim-and-fill analyses (OS: HR=1.26, 95% CI: 1.07-1.49, P=0.006; DFS: HR=1.35, 95% CI: 1.08-1.69, P=0.008). CONCLUSIONS: Blood transfusions were associated with decreased survival of patients with lung cancer.