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The sensitivity of current surveillance methods for detecting early-stage hepatocellular carcinoma (HCC) is suboptimal. Extracellular vesicles (EVs) are promising circulating biomarkers for early cancer detection. In this study, we aim to develop an HCC EV-based surface protein assay for early detection of HCC.Tissue microarray was used to evaluate four potential HCC-associated protein markers. An HCC EV surface protein assay, composed of covalent chemistry-mediated HCC EV purification and real-time immuno-polymerase chain reaction readouts, was developed and optimized for quantifying subpopulations of EVs. An HCC EV ECG score, calculated from the readouts of three HCC EV subpopulations (EpCAMHCC EV ECG score demonstrated great potential for detecting early-stage HCC. It could augment current surveillance methods and improve patients' outcomes.

Serum alpha-fetoprotein and radiologic imaging are the most commonly used tests for early diagnosis and dynamic monitoring of treatment response in hepatocellular carcinoma (HCC). However, the accuracy of these tests is limited, and they may not reflect the underlying biology of the tumor. Thus, developing highly accurate novel HCC biomarkers reflecting tumor biology is a clinically unmet need. Circulating tumor cells (CTCs) have long been proposed as a noninvasive biomarker in clinical oncology. Most CTC assays utilize immunoaffinity-based, size-based, and/or enrichment-free mechanisms followed by immunocytochemical staining to characterize CTCs. The prognostic value of HCC CTC enumeration has been extensively validated. Subsets of CTCs expressing mesenchymal markers are also reported to have clinical significance. In addition, researchers have been devoting their efforts to molecular characterizations of CTCs (e.g., genetics and transcriptomics) as molecular profiling can offer a more accurate readout and provide biological insights. As new molecular profiling techniques, such as digital polymerase chain reaction, are developed to detect minimal amounts of DNA/RNA, several research groups have established HCC CTC digital scoring systems to quantify clinically relevant gene panels. Given the versatility of CTCs to provide intact molecular and functional data that reflects the underlying tumor, CTCs have great potential as a noninvasive biomarker in HCC. Large-scale, prospective studies for HCC CTCs with a standardized protocol are necessary for successful clinical translation.

Numerous studies in hepatocellular carcinoma (HCC) have proposed tissue-based gene signatures for individualized prognostic assessments. Here, we develop a novel circulating tumor cell (CTC)–based transcriptomic profiling assay to translate tissue-based messenger RNA (mRNA) signatures into a liquid biopsy setting for noninvasive HCC prognostication. The HCC-CTC mRNA scoring system combines the NanoVelcro CTC Assay for enriching HCC CTCs and the NanoString nCounter platform for quantifying the HCC-CTC Risk Score (RS) panel in enriched HCC CTCs. The prognostic role of the HCC-CTC RS was assessed in The Cancer Genome Atlas (TCGA) HCC cohort (n = 362) and validated in an independent clinical CTC cohort (n = 40). The HCC-CTC RS panel was developed through our integrated data analysis framework of 8 HCC tissue-based gene signatures and identified the top 10 prognostic genes (discoidin domain receptor tyrosine kinase 1 [DDR1], enoyl-CoA hydratase and 3-hydroxyacyl CoA dehydrogenase [EHHADH], androgen receptor [AR], lumican [LUM], hydroxysteroid 17-beta dehydrogenase 6[HSD17B6], prostate transmembrane protein, androgen induced 1 [PMEPA1], tsukushi, small leucine rich proteoglycan [TSKU], N-terminal EF-hand calcium binding protein 2 [NECAB2], ladinin 1 [LAD1], solute carrier family 27 member 5 [SLC27A5]) highly expressed in HCC with low expressions in white blood cells. The panel accurately discriminated overall survival in TCGA HCC cohort (hazard ratio [HR], 2.0; 95% confidence interval [CI], 1.4-2.9). The combined use of the scoring system and HCC-CTC RS panel successfully distinguished artificial blood samples spiked with an aggressive HCC cell type, SNU-387, from those spiked with PLC/PRF/5 cells (P = 0.02). In the CTC validation cohort (n = 40), HCC-CTC RS remained an independent predictor of survival (HR, 5.7; 95% CI, 1.5-21.3; P = 0.009) after controlling for Model for End-Stage Liver Disease score, Barcelona Clinic Liver Cancer stage, and CTC enumeration count. Our study demonstrates a novel interdisciplinary approach to translate tissue-based gene signatures into a liquid biopsy setting. This noninvasive approach will allow real-time disease profiling and dynamic prognostication of HCC.

Hepatocellular carcinoma (HCC) is a leading cause of mortality. Checkpoint inhibitors of programmed cell death protein‐1 (PD‐1) and programmed death‐ligand 1 (PD‐L1) have shown great efficacy, but lack biomarkers that predict response. Circulating tumor cells (CTCs) have promise as a liquid‐biopsy biomarker; however, data on HCC CTCs expressing PD‐L1 have not been reported. We sought to detect PD‐L1‐expressing HCC‐CTCs and investigated their role as a prognostic and predictive biomarker. Using an antibody‐based platform, CTCs were enumerated/phenotyped from a prospective cohort of 87 patients with HCC (49 early‐stage, 22 locally advanced, and 16 metastatic), 7 patients with cirrhosis, and 8 healthy controls. Immunocytochemistry identified total HCC CTCs (4′,6‐diamidino‐2‐phenylindole–positive [DAPI+]/cytokeratin‐positive [CK+]/clusters of differentiation 45–negative [CD45−]) and a subpopulation expressing PD‐L1 (DAPI+/CK+/PD‐L1+/CD45−). PD‐L1+ CTCs were identified in 4 of 49 (8.2%) early‐stage patients, but 12 of 22 (54.5%) locally advanced and 15 of 16 (93.8%) metastatic patients, accurately discriminating early from locally advanced/metastatic HCC (sensitivity = 71.1%, specificity = 91.8%, area under the receiver operating characteristic curve = 0.807; P

Hepatocellular carcinoma (HCC) is among the leading causes of cancer incidence and mortality worldwide. Surveillance of individuals with cirrhosis or other conditions that confer a high risk of HCC development is essential for early detection and improved overall survival. Biannual ultrasonography with or without alpha-fetoprotein is widely recommended as the standard method for HCC surveillance, but it has limited sensitivity in early disease and may be inadequate in certain individuals. This review article will provide a comprehensive overview of the current landscape of HCC surveillance, including the rationale and indications for HCC surveillance, standard methods for HCC surveillance, and their strengths/limitations. Alternative surveillance methods such as the role of cross-sectional imaging, emerging circulating biomarkers, as well as the problem of under-utilization of HCC surveillance and surveillance-related harms will also be discussed in this review.

Maternal and fetal pregnancy outcomes related to placental function vary based on fetal sex, which may be due to sexually dimorphic epigenetic regulation of RNA expression. We identified sexually dimorphic miRNA expression throughout gestation in human placentae. Next-generation sequencing identified miRNA expression profiles in first and third trimester uncomplicated pregnancies using tissue obtained at chorionic villous sampling (n = 113) and parturition (n = 47). Sequencing analysis identified 986 expressed mature miRNAs from female and male placentae at first and third trimester (baseMean>10). Of these, 11 sexually dimorphic (FDR 10, with 508 DE miRNAs in common between female-specific and male-specific analysis (269 upregulated in first trimester, 239 upregulated in third trimester). Of those, miR-4483 had the highest fold changes across gestation. There were 62.5% more female exclusive differences with fold change>2 across gestation than male exclusive (52 miRNAs vs 32 miRNAs), indicating miRNA expression across human gestation is sexually dimorphic. Pathway enrichment analysis identified significant pathways that were differentially regulated in first and third trimester as well as across gestation. This work provides the normative sex dimorphic miRNA atlas in first and third trimester, as well as the sex-independent and sex-specific placenta miRNA atlas across gestation, which may be used to identify biomarkers of placental function and direct functional studies investigating placental sex differences.

Placenta accreta spectrum (PAS) is a high-risk obstetrical condition associated with significant morbidity and mortality. Current clinical screening modalities for PAS are not always conclusive. Here, we report a nanostructure-embedded microchip that efficiently enriches both single and clustered circulating trophoblasts (cTBs) from maternal blood for detecting PAS. We discover a uniquely high prevalence of cTB-clusters in PAS and subsequently optimize the device to preserve the intactness of these clusters. Our feasibility study on the enumeration of cTBs and cTB-clusters from 168 pregnant women demonstrates excellent diagnostic performance for distinguishing PAS from non-PAS. A logistic regression model is constructed using a training cohort and then cross-validated and tested using an independent cohort. The combined cTB assay achieves an Area Under ROC Curve of 0.942 (throughout gestation) and 0.924 (early gestation) for distinguishing PAS from non-PAS. Our assay holds the potential to improve current diagnostic modalities for the early detection of PAS., Placenta accreta spectrum (PAS) is a high-risk obstetrical complication associated with significant morbidity and mortality. Here the authors discover a uniquely high prevalence of circulating trophoblasts clusters in PAS and explore their diagnostic potential to augment current diagnostic modalities for the early detection of PAS.

Tumor-derived extracellular vesicles (EVs) play essential roles in intercellular communication during tumor growth and metastatic evolution. Currently, little is known about the possible roles of tumor-derived EVs in sarcoma because the lack of specific surface markers makes it technically challenging to purify sarcoma-derived EVs. In this study, a specific purification system is developed for Ewing sarcoma (ES)-derived EVs by coupling covalent chemistry-mediated EV capture/ release within a nanostructure-embedded microchip. The purification platform-ES-EV Click Chip-takes advantage of specific anti-LINGO-1 recognition and sensitive click chemistry-mediated EV capture, followed by disulfide cleavage-driven EV release. Since the device is capable of specific and efficient purification of intact ES EVs with high purity, ES-EV Click Chip is ideal for conducting downstream functional studies of ES EVs. Absolute quantification of the molecular hallmark of ES (i.e., EWS rearrangements) using reverse transcription Droplet Digital PCR enables specific quantification of ES EVs. The purified ES EVs can be internalized by recipient cells and transfer their mRNA cargoes, exhibiting their biological intactness and potential role as biological shuttles in intercellular communication.

Circulating tumor cell (CTC) clusters are present in cancer patients with severe metastasis, resulting in poor clinical outcomes. However, CTC clusters have not been studied as extensively as single CTCs, and the clinical utility of CTC clusters remains largely unknown. In this study, we aim sought to explore the feasibility of NanoVelcro Chips to simultaneously detect both single CTCs and CTC clusters with negligible perturbation to their intrinsic properties in neuroendocrine tumors (NETs). We discovered frequent CTC clusters in patients with advanced NETs and examined their potential roles, together with single NET CTCs, as novel biomarkers of patient response following peptide receptor radionuclide therapy (PRRT). We observed dynamic changes in both total NET CTCs and NET CTC cluster counts in NET patients undergoing PRRT which correlated with clinical outcome. These preliminary findings suggest that CTC clusters, along with single CTCs, offer a potential non-invasive option to monitor the treatment response in NET patients undergoing PRRT.

Simple Summary Extracellular vesicles (EVs) are particles naturally released from cells and mediate intercellular communication. Recently, emerging studies have shown that EVs play a crucial role in regulating progression of hepatocellular carcinoma (HCC), which is one of the leading causes of cancer-related death worldwide. With the advances of technologies in isolating EVs from patients’ blood, EVs are regarded as promising biomarkers for detecting HCC at an earlier stage. This review provides an overview of the current EVs isolation methods, the biological roles of EVs in mediating disease progression, and the feasibility of EVs’ use for detection of HCC. Abstract Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and one of the leading causes of cancer-related death worldwide. Despite the improvements in surveillance and treatment, the prognosis of HCC remains poor. Extracellular vesicles (EVs) are a heterogeneous group of phospholipid bilayer-enclosed particles circulating in the bloodstream and mediating intercellular communication. Emerging studies have shown that EVs play a crucial role in regulating the proliferation, immune escape, and metastasis of HCC. In addition, because EVs are present in the circulation at relatively early stages of disease, they are getting attention as an attractive biomarker for HCC detection. Over the past decade, dedicated efforts have been made to isolate EVs more efficiently and make them useful tools in different clinical settings. In this review article, we provide an overview of the EVs isolation methods and highlight the role of EVs as mediators in the pathogenesis and progression of HCC. Lastly, we summarize the potential applications of EVs in early-stage HCC detection.

Aim: To understand miRNA changes across gestation in healthy human placentae. This is essential before miRNAs can be used as biomarkers or prognostic indicators during pregnancy. Materials & methods: Using next-generation sequencing, we characterize the normative human placenta miRNome in first (n = 113) and third trimester (n = 47). Results & conclusion: There are 801 miRNAs expressed in both first and third trimester, including 182 with similar expression across gestation (p ≥ 0.05, fold change ≤2) and 180 significantly different (false discovery rate 2). Of placenta-specific miRNA clusters, chromosome 14 miRNA cluster decreases across gestation and chromosome 19 miRNA cluster is overall highly expressed. Chromosome 13 clusters are upregulated in first trimester. This work provides a rich atlas of healthy pregnancies to direct functional studies investigating the epigenetic differences in first and third trimester placentae.

BackgroundAltered placenta miRNA abundance may impact the maternal-fetal interface and pregnancy outcomes. Understanding miRNA changes across gestation is essential before miRNAs can be used as biomarkers or prognostic indicators during pregnancy.Materials & MethodsUsing next-generation sequencing, we characterize the normative human placenta miRNA transcriptome in first (N=113) and third trimester (N=47).ResultsThere are 801 miRNAs expressed in both first and third trimester, including 182 with similar expression across gestation (P≥0.05) and 182 significantly different (FDRConclusionThis work provides a rich atlas of healthy pregnancies to direct functional studies investigating the epigenetic differences in first and third trimester placentae.Lay AbstractThe human body produces microRNAs which affect the expression of genes and proteins. This study uses next generation sequencing to identify the microRNA profile of first and third trimester human placentae using a large cohort (N=113 first, N=47 third trimester). All pregnancies resulted in healthy babies. We identify microRNAs with significantly different expression between first and third trimester, as well as stably expressed microRNAs. This work provides a baseline for future studies which may use microRNAs to monitor maternal-fetal health throughout pregnancy.

CRISPR-Cas9 knockin of the HBB gene paves the way for a general therapeutic solution for treating hemoglobinopathies., Leveraging the endogenous homology-directed repair (HDR) pathway, the CRISPR-Cas9 gene-editing system can be applied to knock in a therapeutic gene at a designated site in the genome, offering a general therapeutic solution for treating genetic diseases such as hemoglobinopathies. Here, a combined supramolecular nanoparticle (SMNP)/supramolecular nanosubstrate–mediated delivery (SNSMD) strategy is used to facilitate CRISPR-Cas9 knockin of the hemoglobin beta (HBB) gene into the adeno-associated virus integration site 1 (AAVS1) safe-harbor site of an engineered K562 3.21 cell line harboring the sickle cell disease mutation. Through stepwise treatments of the two SMNP vectors encapsulating a Cas9•single-guide RNA (sgRNA) complex and an HBB/green fluorescent protein (GFP)–encoding plasmid, CRISPR-Cas9 knockin was successfully achieved via HDR. Last, the HBB/GFP-knockin K562 3.21 cells were introduced into mice via intraperitoneal injection to show their in vivo proliferative potential. This proof-of-concept demonstration paves the way for general gene therapeutic solutions for treating hemoglobinopathies.

Determining the status of epidermal growth factor receptor (EGFR) T790M mutation is crucial for guiding further treatment intervention in advanced non-small cell lung cancer (NSCLC) patients who develop acquired resistance to initial EGFR tyrosine kinase inhibitor (TKI) treatment. Circulating tumor cells (CTCs) which contain plentiful copies of well-preserved RNA offer an ideal source for noninvasive detection of T790M mutation in NSCLC. We developed a CTC-based digital assay which synergistically integrates NanoVelcro Chips for enriching NSCLC CTCs and reverse-transcription droplet digital PCR (RT-ddPCR) for quantifying T790M transcripts in the enriched CTCs. We collected 46 peripheral arterial and venous blood samples from 27 advanced NSCLC patients for testing this CTC-based digital assay. The results showed that the T790M mutational status observed by the CTC-based digital assay matched with those observed by tissue-based diagnostic methods. Furthermore, higher copy numbers of T790M transcripts were observed in peripheral arterial blood than those detected in the matched peripheral venous blood. In short, our results demonstrated the potential of the NanoVelcro CTC-digital assay for noninvasive detection of the T790M mutation in NSCLC, and suggested that peripheral arterial blood sampling may offer a more abundant CTC source than peripheral venous blood in advanced NSCLC patients.

Somatic copy number alterations (SCNAs) are important genetic drivers of many cancers. We investigated the feasibility of obtaining SCNA profiles from circulating tumor cells (CTCs) as a molecular liquid biopsy for hepatocellular carcinoma (HCC). CTCs from ten HCC patients underwent SCNA profiling. The Cancer Genome Atlas (TCGA) SCNA data were used to develop a cancer origin classification model, which was then evaluated for classifying 44 CTCs from multiple cancer types. Sequencing of 18 CTC samples (median: 4 CTCs/sample) from 10 HCC patients using a low-resolution whole-genome sequencing strategy (median: 0.88 million reads/sample) revealed frequent SCNAs in previously reported HCC regions such as 8q amplifications and 17p deletions. SCNA profiling revealed that CTCs share a median of 80% concordance with the primary tumor. CTCs had SCNAs not seen in the primary tumor, some with prognostic implications. Using a SCNA profiling model, the tissue of origin was correctly identified for 32/44 (73%) CTCs from 12/16 (75%) patients with different cancer types.

The purpose of this review is to highlight recent research advances in noninvasive prenatal diagnostic methods. Recent studies developing noninvasive prenatal diagnostic (NIPD) methods have been focused on either fetal nucleated red blood cells (fNRBCs) or circulating trophoblasts (cTBs). Enriched cTBs were successfully utilized for whole genome profiling and short tandem repeat (STR) identification to confirm feto-maternal relationship. However, further analysis of isolated fNRBCs remains confined to examining fetal cytogenetics. Invasive prenatal diagnostic procedures, amniocentesis, and chorionic villus sampling, are the gold standard for the diagnosis of fetal chromosomal abnormalities and genetic disorders. Meanwhile, noninvasive techniques of analyzing circulating cell-free fetal DNA (cffDNA) have been limited to screening tools and are highly fragmented and confounded by maternal DNA. By detecting circulating fetal nucleated cells (CFNCs) we are able to noninvasively confirm fetal chromosomal abnormalities, truly realizing the concept of “noninvasive prenatal diagnostics”. The primary technical challenge is the enrichment of the low abundance of CFNCs in maternal peripheral blood. For any cell-based NIPD method, both fetal whole genome profiling and confirmation of the feto-parental relationship are essential. This has been successfully performed using enriched and isolated cTBs, making cTB a better candidate for NIPD. cTB enumeration also correlates with abnormal fetal or placental development. On the other hand, downstream analysis of fNRBCs remains limited to examining fetal sex and aneuploidies. Furthermore, trophoblast-based NIPD via an endocervical sample is also promising because of reduced dilution from hematologic cells.

Rationale: Our objective was to develop a circulating tumor cell (CTC)-RNA assay for characterizing clinically relevant RNA signatures for the assessment of androgen receptor signaling inhibitor (ARSI) sensitivity in metastatic castration-resistant prostate cancer (mCRPC) patients. Methods: We developed the NanoVelcro CTC-RNA assay by combining the Thermoresponsive (TR)-NanoVelcro CTC purification system with the NanoString nCounter platform for cellular purification and RNA analysis. Based on the well-validated, tissue-based Prostate Cancer Classification System (PCS), we focus on the most aggressive and ARSI-resistant PCS subtype, i.e., PCS1, for CTC analysis. We applied a rigorous bioinformatic process to develop the CTC-PCS1 panel that consists of prostate cancer (PCa) CTC-specific RNA signature with minimal expression in background white blood cells (WBCs). We validated the NanoVelcro CTC-RNA assay and the CTC-PCS1 panel with well-characterized PCa cell lines to demonstrate the sensitivity and dynamic range of the assay, as well as the specificity of the PCS1 Z score (the likelihood estimate of the PCS1 subtype) for identifying PCS1 subtype and ARSI resistance. We then selected 31 blood samples from 23 PCa patients receiving ARSIs to test in our assay. The PCS1 Z scores of each sample were computed and compared with ARSI treatment sensitivity. Results: The validation studies using PCa cell line samples showed that the NanoVelcro CTC-RNA assay can detect the RNA transcripts in the CTC-PCS1 panel with high sensitivity and linearity in the dynamic range of 5-100 cells. We also showed that the genes in CTC-PCS1 panel are highly expressed in PCa cell lines and lowly expressed in background WBCs. Using the artificial CTC samples simulating the blood sample conditions, we further demonstrated that the CTC-PCS1 panel is highly specific in identifying PCS1-like samples, and the high PCS1 Z score is associated with ARSI resistance samples. In patient bloods, ARSI-resistant samples (ARSI-R, n=14) had significantly higher PCS1 Z scores as compared with ARSI-sensitive samples (ARSI-S, n=17) (Rank-sum test, P=0.003). In the analysis of 8 patients who were initially sensitive to ARSI (ARSI-S) and later developed resistance (ARSI-R), we found that the PCS1 Z score increased from the time of ARSI-S to the time of ARSI-R (Pairwise T-test, P=0.016). Conclusions: Using our new methodology, we developed a first-in-class CTC-RNA assay and demonstrated the feasibility of transforming clinically-relevant tissue-based RNA profiling such as PCS into CTC tests. This approach allows for detecting RNA expression relevant to clinical drug resistance in a non-invasive fashion, which can facilitate patient-specific treatment selection and early detection of drug resistance, a goal in precision oncology.

e17004 Background: Optimizing outcomes in prostate cancer (PCa) requires timely detect of metastatic progression of prostate cancer patients. We aim to optimize an extracellular vesicle (EV)-based Digital Scoring Assay for detecting PCa metastasis and noninvasive monitoring disease progression. Methods: PCa EV Digital Scoring Assay was developed by combining EV Click Chip, a nanotechnology-enabled microfluidic device for purifying PCa-derived EV and reverse-transcription droplet digital PCR for profiling disease-relevant mRNAs. A panel of 11 PCa-relevant mRNA markers were selected from The Tissue Atlas and a blood-based biomarker study. Plasma samples from 20 localized, 20 metastatic PCa patients, and serial plasma from three PCa patients were used to assess the performance of PCa EV Digital Scoring Assay with the 11-gene panel. mRNA expression of the panel was computed using weighted Z score method. ROC analysis was applied to discriminate localized from metastatic PCa. Results: After optimization, the capability of EV Click Chips (92.5 ± 5.4%) for capturing PCa-derived EVs from artificial plasma samples spiked with EVs outperformed ultracentrifugation (41.0 ± 3.2%) or precipitation methods (34.9± 2.2%; P< 0.001). Strong signals of the 11-gene panel, i.e., ACP3, FOLH1, HOXB13, KLK2, KLK3, KLK4, MSMB, RLN1, SLC45A3, STEAP2, and TMPRSS2, were detected from three PCa cells (LNCaP, C4-2B, and 22Rv1) and their derived EVs, while rare signals were detected in either WBCs or EVs purified from male healthy donor. In the clinical study, the Z scores calculated from the 11-gene panel were significantly higher in metastatic than localized PCa with an area under the ROC curve of 0.88 (95% CI: 0.78-0.98). Finally, longitudinal analyses of three PCa patients with clinical progression, response, and stable diseases, respectively, showed the Z scores can precisely reflect the disease status even when it is undetectable by imaging. Conclusions: We demonstrate a sensitive PCa EV Digital Scoring Assay to identify metastatic PCa and dynamically monitor disease states in a noninvasive manner. This assay may augment current imaging tools for timely detection of PCa progression and provide a means to better personalized care.

Background: Myeloid-derived suppressor cells (MDSCs) are a heterogeneous population of cells that expand in cancer, inflammation, and infection and negatively regulate inflammation and the immune response. Heart failure (HF) is a complex clinical syndrome wherein inflammation induction and incomplete resolution can potentially contribute to HF development and progression. However, the role of MDSCs in HF remains unclear. Methods: The percentage of MDSCs in patients with HF and in mice with pressure overload–induced HF using isoproterenol infusion or transverse aortic constriction (TAC) was detected by flow cytometry. The effects of MDSCs on isoproterenol- or TAC-induced HF were observed on depleting MDSCs with 5-fluorouracil (50 mg/kg) or gemcitabine (120 mg/kg), transferring purified MDSCs, or enhancing endogenous MDSCs with rapamycin (2 mg·kg −1 ·d −1 ). Hypertrophic markers and inflammatory factors were detected by ELISA, real-time polymerase chain reaction, or Western blot. Cardiac functions were determined by echocardiography and hemodynamic analysis. Results: The percentage of human leukocyte antigen-D–related (HLA-DR) − CD33 + CD11b + MDSCs in the blood of patients with HF was significantly increased and positively correlated with disease severity and increased plasma levels of cytokines, including interleukin-6, interleukin-10, and transforming growth factor–β. Furthermore, MDSCs derived from patients with HF inhibited T-cell proliferation and interferon-γ secretion. Similar results were observed in TAC- and isoproterenol-induced HF in mice. Pharmaceutical depletion of MDSCs significantly exacerbated isoproterenol- and TAC-induced pathological cardiac remodeling and inflammation, whereas adoptive transfer of MDSCs prominently rescued isoproterenol- and TAC-induced HF. Consistently, administration of rapamycin significantly increased endogenous MDSCs by suppressing their differentiation and improved isoproterenol- and TAC-induced HF, but MDSC depletion mostly blocked beneficial rapamycin-mediated effects. Mechanistically, MDSC-secreted molecules suppressed isoproterenol-induced hypertrophy and proinflammatory gene expression in cardiomyocytes in a coculture system. Neutralization of interleukin-10 blunted both monocytic MDSC- and granulocytic MDSC–mediated anti-inflammatory and antihypertrophic effects, but treatment with a nitric oxide inhibitor only partially blocked the antihypertrophic effect of monocytic MDSCs. Conclusions: Our findings revealed a cardioprotective role of MDSCs in HF by their antihypertrophic effects on cardiomyocytes and anti-inflammatory effects through interleukin-10 and nitric oxide. Pharmacological targeting of MDSCs by rapamycin constitutes a promising therapeutic strategy for HF.

182 Background: There is an unmet need to develop a noninvasive assay to detect the metastatic progression of prostate cancer (PCa) patients for timely treatment. We aim to optimize an extracellular vesicle (EV)-based Digital Scoring Assay to reflect the disease status of PCa. Methods: PCa EV Digital Scoring Assay integrated a PCa-derived EV purification device (i.e., EV Click Chip) and downstream reverse-transcription droplet digital PCR for transcriptomic profiling of PCa-derived EVs. The performance of the Assay for purifying PCa-derived EVs was assessed using artificial plasma samples with spiked EVs. In parallel, a panel of 11 PCa-relevant mRNA markers were selected and validated. PCa EV Digital Scoring Assay in conjugation with the 11-gene panel was tested using plasma from 20 localized, 20 metastatic PCa patients, and serial plasma from three PCa patients. mRNA expressions were computed using weighted Z score method. ROC analysis was utilized to distinguish localized from metastatic PCa. Results: After optimization, the capability of purifying PCa-derived EVs from artificial plasma samples by EV Click Chips (92.5 ± 5.4%) outperformed ultracentrifugation or precipitation methods (41.0 ± 3.2%; 34.9± 2.2%; P < 0.001). Eleven genes, i.e., ACP3, FOLH1, HOXB13, KLK2, KLK3, KLK4, MSMB, RLN1, SLC45A3, STEAP2, and TMPRSS, were selected using The Tissue Atlas and a gene set from a blood-based study as our panel. Strong signals of the panel were detected from three PCa cells (LNCaP, C4-2B, and 22Rv1) and their derived EVs, while rare signals were detected in either WBCs or EVs purified from male healthy donor. In the clinical study, the Z scores calculated from the selected 11-gene panel, were significantly higher in 20 metastatic PCa than 20 localized PCa with an area under the ROC curve of 0.88 (95% CI = 0.78-0.98). Lastly, longitudinal analyses of three PCa patients showed that the Z scores can reflect the clinical progression, response, and stable status, even when disease is undetectable by imaging. Conclusions: We develop a sensitive PCa EV Digital Scoring Assay to distinguish metastatic PCa and reveal the dynamic disease states in a noninvasive manner. This assay holds the potential to augment current imaging tools and tests for timely detection of PCa progression and improve care for patients.

Quantification of epidermal growth factor receptor (EGFR) mutations is important for the prediction of tyrosine kinase inhibitor (TKI) efficacy in patients with non-small cell lung cancer (NSCLC). However, clinicians lack a sensitive and convenient method to quantify EGFR mutant abundance. The present study introduces a novel method, namely amplification refractory mutation system (ARMS)-Plus, for the quantitative analysis of EGFR exon 19 deletion (19Del), L858R and T790M mutations. Formalin-fixed paraffin-embedded tumor samples were collected from 77 patients with lung adenocarcinoma. DNA was extracted and analyzed for EGFR mutations using ARMS-Plus. The performance of ARMS-Plus was then compared with that of conventional ARMS-polymerase chain reaction (ARMS-PCR) and droplet digital PCR (ddPCR). The results demonstrated that the concordance rate of EGFR mutation testing between ARMS-Plus and ddPCR was 98.7% (76/77, Kappa=0.9739). 19Del and L858R mutations were detected in 23 and 12 patients, respectively. There was a significant difference between ARMS-Plus and ddPCR in the evaluation of 19Del mutant abundance (P=0.0002); however, not in that of L858R mutant abundance (P=0.7334). The ARMS-Plus results in L858R mutant abundance were concordant with that of ddPCR (R2=0.8081). These results indicated that the sensitivity and specificity of ARMS-Plus in identifying EGFR mutations were similar to that of ddPCR. For quantitative analysis, the results of ARMS-Plus in evaluating L858R mutant abundance revealed a positive correlation with the ddPCR results. Thus, ARMS-Plus provides an alternative method, which is reliable and cost-effective, to quantify EGFR mutations and thereby, aid treatment decisions in patients with lung adenocarcinoma.

Droplet digital polymerase chain reaction (ddPCR) has shown sufficient concordance in detecting plasma epidermal growth factor receptor (EGFR) status in non-small cell lung cancer (NSCLC), compared to tumor tissues. However, the clinical significance of the quantitative plasma mutated EGFR concentration remains unknown. The purpose of this study was to explore the relationship of plasma mutated EGFR concentration with tumor burden in advanced NSCLC patients.Using ddPCR, plasma DNA samples prior to administration of therapies from 113 consecutive NSCLC patients were analyzed for EGFR L858R substitution and deletion of exon19 (ex19del). Plasma EGFR status was compared to tumor EGFR status to determine concordance. Then, we assessed the correlation of plasma mutated EGFR concentrations with tumor burden and other tumor characteristics.Compared to tumor EGFR, the concordance rate of plasma and tissue EGFR status was 86.73%. Of the 64 patients who harbored tumor EGFR mutation, plasma mutated EGFR concentrations significantly correlated with number of metastatic sites (Spearman's r=0.4954, p0.0001), number of lesions (Spearman's r=0.4484, p=0.0002), and sum of measurable lesions' diameters (Spearman's r=0.3539, p=0.0048). Number of metastatic sites was independently associated with mutated EGFR concentration in multiple linear regression. Besides, plasma mutated EGFR concentrations were significantly higher in those with extensive tumor burden (median concentration, 386.9 vs. 13.4copies/mL; p0.0001) and stage IV disease (median concentration, 244.2 vs. 0copies/mL; p=0.0252). In conclusion, mutated plasma EGFR concentration determined by ddPCR analysis significantly correlated with tumor burden.

PURPOSE OF REVIEW. The purpose of this review is to highlight recent research advances in noninvasive prenatal diagnostic methods. RECENT FINDINGS. Recent studies developing noninvasive prenatal diagnostic (NIPD) methods have been focused on either fetal nucleated red blood cells (fNRBCs) or circulating trophoblasts (cTBs). Enriched cTBs were successfully utilized for whole genome profiling and short tandem repeat (STR) identification to confirm feto-maternal relationship. However, further analysis of isolated fNRBCs remains confined to examining fetal cytogenetics. SUMMARY. Invasive prenatal diagnostic procedures, amniocentesis and chorionic villus sampling, are the gold standard for the diagnosis of fetal chromosomal abnormalities and genetic disorders. Meanwhile, noninvasive techniques of analyzing circulating cell-free fetal DNA (cffDNA) have been limited to screening tools and are highly fragmented and confounded by maternal DNA. By detecting circulating fetal nucleated cells (CFNCs) we are able to noninvasively confirm fetal chromosomal abnormalities, truly realizing the concept of “noninvasive prenatal diagnostics”. The primary technical challenge is the enrichment of the low abundance of CFNCs in maternal peripheral blood. For any cell-based NIPD method, both fetal whole genome profiling and confirmation of the feto-parental relationship are essential. This has been successfully performed using enriched and isolated cTBs, making cTB a better candidate for NIPD. cTB enumeration also correlates with abnormal fetal or placental development. On the other hand, downstream analysis of fNRBCs remains limited to examining fetal sex and aneuploidies. Furthermore, trophoblast-based NIPD via an endocervical sample is also promising because of reduced dilution from hematologic cells.

Dong et al. report gene rearrangement detection in circulating tumor cells by using covalent chemistry on nanosubstrates., Well-preserved mRNA in circulating tumor cells (CTCs) offers an ideal material for conducting molecular profiling of tumors, thereby providing a noninvasive diagnostic solution for guiding treatment intervention and monitoring disease progression. However, it is technically challenging to purify CTCs while retaining high-quality mRNA.Here, we demonstrate a covalent chemistry–based nanostructured silicon substrate (“Click Chip”) for CTC purification that leverages bioorthogonal ligation–mediated CTC capture and disulfide cleavage–driven CTC release. This platform is ideal for CTC mRNA assays because of its efficient, specific, and rapid purification of pooled CTCs, enabling downstream molecular quantification using reverse transcription Droplet Digital polymerase chain reaction. Rearrangements of ALK/ROS1 were quantified using CTC mRNA and matched with those identified in biopsy specimens from 12 patients with late-stage non–small cell lung cancer. Moreover, CTC counts and copy numbers of ALK/ROS1 rearrangements could be used together for evaluating treatment responses and disease progression.

Circulating rare cells in the blood are of great significance for both materials research and clinical applications. For example, circulating tumor cells (CTCs) have been demonstrated as useful biomarkers for "liquid biopsy" of the tumor. Circulating fetal nucleated cells (CFNCs) have shown potential in noninvasive prenatal diagnostics. However, it is technically challenging to detect and isolate circulating rare cells due to their extremely low abundance compared to hematologic cells. Nanostructured substrates offer a unique solution to address these challenges by providing local topographic interactions to strengthen cell adhesion and large surface areas for grafting capture agents, resulting in improved cell capture efficiency, purity, sensitivity, and reproducibility. In addition, rare-cell retrieval strategies, including stimulus-responsiveness and additive reagent-triggered release on different nanostructured substrates, allow for on-demand retrieval of the captured CTCs/CFNCs with high cell viability and molecular integrity. Several nanostructured substrate-enabled CTC/CFNC assays are observed maturing from enumeration and subclassification to molecular analyses. These can one day become powerful tools in disease diagnosis, prognostic prediction, and dynamic monitoring of therapeutic response-paving the way for personalized medical care.

e17008 Background: A morphological subset of prostate cancer (PCa) circulating tumor cells (CTCs) with particularly small nuclei (< 8.5 μm), named very-small-nuclear CTCs (vsnCTCs), were found to be correlated with the presence of visceral metastases. It is reported that the depletion of nuclear envelope protein emerin promotes PCa metastasis and is associated with nuclear shape instability. In this study, we hypothesize vsnCTCs as prognostic biomarkers in metastatic castration resistant PCa (mCRPC), and aim to investigate the correlation between emerin level and vsnCTCs. Methods: PCa CTCs were enriched using the NanoVelcro CTC Assay from 76 patients with mCRPC. The Kaplan-Meier analysis and log-rank test were used to estimate and compare the overall survival (OS) and progression free survival (PFS) of androgen receptor signaling inhibitor (ARSI), taxanes and other therapy in patients stratified by the presence of vsnCTCs. The correlation between the presence of vsnCTCs and OS and PFS were evaluated using the Cox proportional hazard regression. The expression level of emerin in patients with and without vsnCTC were compared using Mann-Whitney U test, and the correlation between emerin level and CTC nuclear size was tested by Pearson correlation coefficient. Results: Patients with vsnCTC (i.e, vsnCTC+) had significantly shortened OS and PFS compared with those without vsnCTC (i.e, vsnCTC-). The median OS was 34 (vsnCTC+, n= 49) vs. 149 (vsnCTC-, n= 27) weeks (hazard ratio [HR] = 2.6, 95% confidence interval [CI]: 1.5-4.5, P< 0.001). The median PFS was 12 (vsnCTC+, n= 32) vs. 26 (vsnCTC-, n= 18) weeks (HR = 2.2, 95% CI: 1.3 -4.0, P= 0.004). The emerin expression level was significantly higher in vsnCTC+ compared to vsnCTC- ( P= 0.009). In addition, we observed a significantly positive correlation between emerin expression and CTC nuclear size (r = 0.52, P< 0.001). Conclusions: This study casts light on the importance of the vsnCTCs in patients with mCRPC, as vsnCTC+ patients represented a group at risk for faster clinical progression who are at the highest risk for mortality. vsnCTC represents a new hallmark of an aggressive subtype of mCRPC and is related to emerin dysregulation, which promotes lethal progression and metastasis of PCa.

Transcriptomic profiling of tumor tissues introduces a large database, which has led to improvements in the ability of cancer diagnosis, treatment, and prevention. However, performing tumor transcriptomic profiling in the clinical setting is very challenging since the procurement of tumor tissues is inherently limited by invasive sampling procedures. Here, we demonstrated the feasibility of purifying hepatocellular carcinoma (HCC) circulating tumor cells (CTCs) from clinical patient samples with improved molecular integrity using Click Chips in conjunction with a multimarker antibody cocktail. The purified CTCs were then subjected to mRNA profiling by NanoString nCounter platform, targeting 64 HCC-specific genes, which were generated from an integrated data analysis framework with 8 tissue-based prognostic gene signatures from 7 publicly available HCC transcriptomic studies. After bioinformatics analysis and comparison, the HCC CTC-derived gene signatures showed high concordance with HCC tissue-derived gene signatures from TCGA database, suggesting that HCC CTCs purified by Click Chips could enable the translation of HCC tissue molecular profiling into a noninvasive setting.