Uniform Synthesis of Bilayer Hydrogen Substituted Graphdiyne for Flexible Piezoresistive Applications.

Graphdiyne (GDY) has garnered significant attention as a cutting-edge 2D material owing to its distinctive electronic, optoelectronic, and mechanical properties, including high mobility, direct bandgap, and remarkable flexibility. One of the key challenges hindering the implementation of this material in flexible applications is its large area and uniform synthesis. The facile growth of centimeter-scale bilayer hydrogen substituted graphdiyne (Bi-HsGDY) on germanium (Ge) substrate is achieved using a low-temperature chemical vapor deposition (CVD) method. This material's field effect transistors (FET) showcase a high carrier mobility of 52.6 cm2 V-1 s-1 and an exceptionally low contact resistance of 10 Ω µm. By transferring the as-grown Bi-HsGDY onto a flexible substrate, a long-distance piezoresistive strain sensor is demonstrated, which exhibits a remarkable gauge factor of 43.34 with a fast response time of ≈275 ms. As a proof of concept, communication by means of Morse code is implemented using a Bi-HsGDY strain sensor. It is believed that these results are anticipated to open new horizons in realizing Bi-HsGDY for innovative flexible device applications.

Drug-resistant profiles of extracellular vesicles predict therapeutic response in TNBC patients receiving neoadjuvant chemotherapy.

BACKGROUND: Predicting tumor responses to neoadjuvant chemotherapy (NAC) is critical for evaluating prognosis and designing treatment strategies for patients with breast cancer; however, there are no reliable biomarkers that can effectively assess tumor responses. Therefore, we aimed to evaluate the clinical feasibility of using extracellular vesicles (EVs) to predict tumor response after NAC. METHODS: Drug-resistant triple-negative breast cancer (TNBC) cell lines were successfully established, which developed specific morphologies and rapidly growing features. To detect resistance to chemotherapeutic drugs, EVs were isolated from cultured cells and plasma samples collected post-NAC from 36 patients with breast cancer. RESULTS: Among the differentially expressed gene profiles between parental and drug-resistant cell lines, drug efflux transporters such as MDR1, MRP1, and BCRP were highly expressed in resistant cell lines. Drug efflux transporters have been identified not only in cell lines but also in EVs released from parental cells using immunoaffinity-based EV isolation. The expression of drug resistance markers in EVs was relatively high in patients with residual disease compared to those with a pathological complete response. CONCLUSIONS: The optimal combination of drug-resistant EV markers was significantly efficient in predicting resistance to NAC with 81.82% sensitivity and 92.86% specificity.

Controlled Bipolar Doping of One-Dimensional van der Waals Nb2Pd3Se8.

Tailoring the electrical properties of one-dimensional (1D) van der Waals (vdW) materials is desirable for their applications toward electronic devices by exploiting their unique characteristics. However, 1D vdW materials have not been extensively investigated for modulation of their electrical properties. Here we control doping levels and types of 1D vdW Nb2Pd3Se8 over a wide energy range by immersion in AuCl3 or ß-nicotinamide adenine dinucleotide (NADH) solutions, respectively. Through spectroscopic analyses and electrical characterizations, we confirm that the charges were effectively transferred to Nb2Pd3Se8, and the dopant concentration was adjusted to the immersion time. Furthermore, we make the axial p-n junction of 1D Nb2Pd3Se8 by a selective area p-doping using the AuCl3 solution, which exhibits rectifying behavior with an Iforward/Ireverse of 81 and an ideality factor of 1.2. Our findings could pave the way to more practical and functional electronic devices based on 1D vdW materials.

On-treatment derived neutrophil-to-lymphocyte ratio and survival with palbociclib and endocrine treatment: analysis of a multicenter retrospective cohort and the PALOMA-2/3 study with immune correlates.

BACKGROUND: Cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors have been established as a standard treatment for hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative advanced breast cancer (ABC); however, predictive biomarkers with translational relevance have not yet been elucidated. METHODS: Data from postmenopausal women who received the CDK4/6 inhibitor palbociclib and letrozole for HR-positive, HER2-negative ABC from tertiary referral centers were analyzed (N = 221; exploratory cohort). Pre- and on-treatment neutrophil-to-lymphocyte ratio (NLR) and derived NLR (dNLR; neutrophil/[leukocyte-neutrophil]) were correlated with survival outcomes. Data from the PALOMA-2 (NCT01740427) and PALOMA-3 studies (NCT01942135) involving patients treated with endocrine treatment with or without palbociclib were also analyzed (validation cohort). Prospectively enrolled patients (N = 20) were subjected to immunophenotyping with circulating immune cells to explore the biological implications of immune cell dynamics. RESULTS: In the exploratory cohort, palbociclib administration significantly reduced leukocyte, neutrophil, and lymphocyte counts on day 1 of cycle 2. Although the baseline dNLR was not significantly associated with progression-free survival (PFS), higher on-treatment dNLRs were associated with worse PFS (hazard ratio = 3.337, P < 0.001). In the PALOMA-2 validation cohort, higher on-treatment dNLRs were associated with inferior PFS in patients treated with palbociclib and letrozole (hazard ratio = 1.498, P = 0.009), and reduction in the dNLR after treatment was predictive of a survival benefit (hazard ratio = 1.555, P = 0.026). On-treatment dNLRs were also predictive of PFS following palbociclib and fulvestrant treatment in the PALOMA-3 validation cohort. Using flow cytometry analysis, we found that the CDK4/6 inhibitor prevented T cell exhaustion and diminished myeloid-derived suppressor cell frequency. CONCLUSIONS: On-treatment dNLR significantly predicted PFS in patients with HR-positive, HER2-negative ABC receiving palbociclib and endocrine treatment. Additionally, we observed putative systemic immune responses elicited by palbociclib, suggesting immunologic changes upon CDK4/6 inhibitor treatment.

Distinct Prognosis of Minimal Residual Disease According to Breast Cancer Subtype in Patients with Breast or Nodal Pathologic Complete Response After Neoadjuvant Chemotherapy.

PURPOSE: Few studies have reported on patient prognosis according to residual cancer burden after neoadjuvant chemotherapy (NAC). Herein, we evaluated the survival of patients based on residual disease after NAC to identify subpopulations with distinct prognoses. METHODS: We retrospectively reviewed 728 patients treated with NAC from 2010 to 2017. Patients were divided into four subgroups depending on post-surgical residual disease according to the staging system: pathological complete response (pCR) (ypT0/TisN0), minimal residual disease (MRD) (ypT1mi/T1aN0 or ypT0/Tis ypN0i+/N1mic), node-only pCR (≥ ypT1b ypN0), and breast-only pCR (ypT0/Tis ≥ ypN1a). Clinicopathological characteristics and survival outcomes were analyzed by adjusting for factors affecting survival. RESULTS: Overall, 50.4% (n = 367) of patients achieved pCR, with the MRD group accounting for 16.5% (n = 120). Although age and clinical stage were not different among the study groups, histologic grade, subtypes, chemotherapy response, and local treatment showed differences. Event-free survival (EFS) and overall survival (OS) demonstrated no significant difference between the pCR and MRD groups. In the multivariate analysis, pCR status was the only significant factor in EFS, and no statistical difference was noted between the pCR and MRD groups. However, clinical stage, pCR status, and subtype significantly affected the OS. MRD showed favorable outcomes in terms of both EFS and OS in all subtypes, except for those with triple-negative breast cancer (TNBC). CONCLUSION: Patients with MRD showed outcomes comparable to those of patients who achieved pCR and may be candidates for de-escalation of post-NAC treatment, except for those with a TNBC subtype.

Oncologic Outcomes in Nipple-sparing Mastectomy with Immediate Reconstruction and Total Mastectomy with Immediate Reconstruction in Women with Breast Cancer: A Machine-Learning Analysis.

BACKGROUND: This study used a single-institution cohort, the Severance dataset, validated the results by using the surveillance, epidemiology, and end results (SEER) database, adjusted with propensity-score matching (PSM), and analyzed by using a machine learning method. To determine whether the 5-year, disease-free survival (DFS) and overall survival (OS) of patients undergoing nipple-sparing mastectomy (NSM) with immediate breast reconstruction (IBR) are not inferior to those of women treated with total mastectomy/skin-sparing mastectomy (TM/SSM). METHODS: The Severance dataset enrolled 611 patients with early, invasive breast cancer from 2010 to 2017. The SEER dataset contained data for 485,245 patients undergoing TM and 14,770 patients undergoing NSM between 2000 and 2018. All patients underwent mastectomy and IBR. Intraoperative, frozen-section biopsy for the retro-areolar tissue was performed in the NSM group. The SEER dataset was extracted by using operation types, including TM/SSM and NSM. The primary outcome was DFS for the Severance dataset and OS for the SEER dataset. PSM analysis was applied. Survival outcomes were analyzed by using the Kaplan-Meier method and Cox proportional hazard (Cox PH) regression model. We implemented XGBSE to predict mortality with high accuracy and evaluated model prediction performance using a concordance index. The final model inspected the impact of relevant predictors on the model output using shapley additive explanation (SHAP) values. RESULTS: In the Severance dataset, 151 patients underwent NSM with IBR and 460 patients underwent TM/SSM with IBR. No significant differences were found between the groups. In multivariate analysis, NSM was not associated with reduced oncologic outcomes. The same results were observed in PSM analysis. In the SEER dataset, according to the SHAP values, the individual feature contribution suggested that AJCC stage ranks first. Analyses from the two datasets confirmed no impact on survival outcomes from the two surgical methods. CONCLUSIONS: NSM with IBR is a safe and feasible procedure in terms of oncologic outcomes. Analysis using machine learning methods can be successfully applied to identify significant risk factors for oncologic outcomes.

Effect of a 1-year tailored exercise program according to cancer trajectories in patients with breast cancer: study protocol for a randomized controlled trial.

BACKGROUND: Patients with breast cancer undergo various treatments according to their tumor subtype and cancer stages within 1 year after being diagnosed. Each treatment may cause treatment-related symptoms that have negative impacts on patients' health and quality of life (QoL) The symptoms can be mitigated when exercise interventions are appropriately applied to patients' physical and mental conditions. Although many exercise programs were developed and implemented during this period, the effects of tailored exercise programs according to symptoms and cancer trajectories on patients' long-term health outcomes have not yet been fully elucidated. Therefore, this randomized controlled trial (RCT) aims to investigate the effect of tailored home-based exercise programs on short-term and long-term physiological outcomes in patients with breast cancer. METHODS: This 12-month RCT includes 96 patients with (stages 1-3) breast cancer randomly assigned to the exercise or control groups. Participants in the exercise group will receive an exercise program tailored to their phase of treatment, type of surgery, and physical function. During post-operative recovery, exercise interventions will be emphasized to improve shoulder range of motion (ROM) and strength. During chemoradiation therapy, exercise intervention will focus on improving physical function and preventing loss of muscle mass. Once chemoradiation therapy is completed, exercise intervention will focus on improving cardiopulmonary fitness and insulin resistance. All interventions will be home-based exercise programs supplemented with once-monthly exercise education and counseling sessions. The main outcome of the study is fasting insulin level at baseline, 6 months, and 1 year post-intervention. Our secondary outcomes include shoulder ROM and strength at 1 month and 3 months, body composition, inflammatory markers, microbiome, QoL, and physical activity levels at 1 month, 6 months, and 1 year post-intervention. CONCLUSION: This trial is the first tailored home-based exercise oncology trial to better understand the comprehensive phase-dependent short- and long-term effects of exercise on shoulder function, body composition, fasting insulin, biomarkers, and microbiome. The results of this study will inform the development of effective exercise programs tailored to the needs of patients with breast cancer post-operatively. TRIAL REGISTRATION: The protocol for this study is registered with the Korean Clinical Trials Registry (KCT0007853).

Neutrophil-to-lymphocyte ratio is an independent predictor for neurological disability in patients with idiopathic transverse myelitis.

INTRODUCTION: The neutrophil-to-lymphocyte ratio (NLR) has been found to be useful in the prognostication of immune-mediated neurological disorders because it roughly reflects the systemic innate immune response compared to the adaptive immune response. However, studies on the validity of NLR in demyelinating disorders of the central nervous system have shown conflicting results. Therefore, we aimed to investigate NLR in the idiopathic transverse myelitis (ITM) cohort. METHODS: We retrospectively analyzed the cohort data of patients with ITM between January 2006 and February 2020. The medical data of all patients with myelitis were reviewed to exclude patients with disease-associated myelopathy according to predefined exclusion criteria. The relationship between the natural log-transformed NLR (lnNLR) and the clinical, paraclinical, and imaging data was evaluated. Factors associated with neurological disability were analyzed using a linear mixed-effects model. Predictive factors for moderate-to-severe neurological disability (Expanded Disability Status Scale [EDSS] score ≥ 4) were investigated. RESULTS: A total of 124 participants were included in the analysis. The lnNLR correlated with EDSS and lesion length. Linear mixed-effects analysis showed that age, lesion length, and lnNLR were independently associated with neurological disabilities. Multivariable logistic regression revealed that lnNLR (odds ratio [OR] = 4.266, 95% confidence interval [CI] = 1.220-14.912, p = 0.023) and lesion length (OR = 1.848, 95% CI = 1.249-2.734, p = 0.002) were independent predictive factors of the worst neurological disability. CONCLUSION: NLR may be used as an independent prognostic factor for predicting poor neurological outcomes in patients with ITM.

Single-center real-world treatment outcomes of ablative fractional laser-assisted photodynamic therapy for actinic keratosis.

BACKGROUND: Among various treatment modalities of actinic keratosis (AK), ablative fractional laser-assisted photodynamic therapy (fractional PDT) has shown higher efficacy despite shorter incubation time. However, there are lack of real-world studies on the therapeutic response of ablative PDT for AK and the factors that can predict the therapeutic response. PURPOSE: The aim of this study was to analyze the association between clinical characteristics and treatment outcomes of fractional PDT. METHODS: One hundred fifty-six patients who were histologically diagnosed with AK and treated with fractional PDT were retrospectively reviewed. The Kruskal-Wallis test was used to compare treatment session differences according to grades. RESULTS: In multivariate analysis, the grade 2 category tended to be more clinically nonresponders than the grade 1 (OR, 5.17; 95% CI, 1.011-26.439; p = .048) and the group treated four or more times with ablative fractional laser-assisted PDT were more likely to show no response compared with the single treatment session group (OR, 8.78; 95% CI, 1.355-56.874; p = .023). Treatment sessions were significantly lower in grade 1 (1.72 ± 0.63, mean ± SD) when compared to grades 2 and 3, respectively (2.17 ± 0.76; 2.60 ± 1.60, mean ± SD). Recurrence was highest in grade 2, and most of them occurred after 1 year. CONCLUSION: On average, two treatment sessions are sufficient for AK lesions, but the thicker the lesion, the more treatment sessions may be required. Although there are relatively smaller number of grade 3 patients were included, recurrence was more frequent in higher grade of AK category, which needs special attention to thicker lesions.

O-GlcNAcylation on LATS2 disrupts the Hippo pathway by inhibiting its activity.

The Hippo pathway controls organ size and tissue homeostasis by regulating cell proliferation and apoptosis. The LATS-mediated negative feedback loop prevents excessive activation of the effectors YAP/TAZ, maintaining homeostasis of the Hippo pathway. YAP and TAZ are hyperactivated in various cancer cells which lead to tumor growth. Aberrantly increased O-GlcNAcylation has recently emerged as a cause of hyperactivation of YAP in cancer cells. However, the mechanism, which induces hyperactivation of TAZ and blocks LATS-mediated negative feedback, remains to be elucidated in cancer cells. This study found that in breast cancer cells, abnormally increased O-GlcNAcylation hyperactivates YAP/TAZ and inhibits LATS2, a direct negative regulator of YAP/TAZ. LATS2 is one of the newly identified O-GlcNAcylated components in the MST-LATS kinase cascade. Here, we found that O-GlcNAcylation at LATS2 Thr436 interrupted its interaction with the MOB1 adaptor protein, which connects MST to LATS2, leading to activation of YAP/TAZ by suppressing LATS2 kinase activity. LATS2 is a core component in the LATS-mediated negative feedback loop. Thus, this study suggests that LATS2 O-GlcNAcylation is deeply involved in tumor growth by playing a critical role in dysregulation of the Hippo pathway in cancer cells.

Promotion of tumorigenesis by miR-1260b-targeting CASP8: Potential diagnostic and prognostic marker for breast cancer.

MicroRNAs are reported as promising biomarkers for the diagnosis and treatment of breast cancer. miR-1260b is identified as a tumor-associated noncoding microRNA in other cancers, although the role of miR-1260b and its clinical relevance in breast cancer remain unclear. In this study, miR-1260b as a potential prognostic biomarker was observed by univariate and multivariate Cox regression analyses in 102 breast tumor tissues. The tumorigenic role of miR-1260b in terms of proliferation, apoptosis, and migration of breast cancer cells was investigated using gain- and loss-of-function assays in vitro. Additionally, the potential early diagnosis and treatment monitoring marker of miR-1260b was validated in 129 plasma samples. We found that high miR-1260b expression was markedly associated with bulky tumor size, advanced stage, and lymph node invasion. Particularly, the high-miR-1260b-expression group showed shorter overall survival than the low-miR-1260b-expression group. The inhibition of oncogenic miR-1260b induced apoptosis and decreased migration and invasion of MDA-MB-231 cells. CASP8 was revealed as a direct target gene of miR-1260b, which is closely related to apoptosis. Furthermore, miR-1260b expression levels in plasma were significantly higher in patients with breast cancer than in healthy controls. The patients who tested positive for miR-1260b showed 16.3- and 18.2-fold higher risks in the early stage and locally advanced stage, respectively, compared with healthy controls, and the risk was decreased 6.2-fold after neoadjuvant chemotherapy. Taken together, miR-1260b may be a potential novel diagnostic, prognostic, and therapeutic target in breast cancer.

Ki-67 and breast cancer prognosis: does it matter if Ki-67 level is examined using preoperative biopsy or postoperative specimen?

PURPOSE: This study aimed to identify the association between Ki-67 level and the prognosis of patients with breast cancer, regardless of the timing of Ki-67 testing (using preoperative biopsy vs. postoperative specimen). METHODS: A total of 4177 patients underwent surgery between January 2008 and December 2016. Immunohistochemical Ki-67 levels, using either preoperative (1673) or postoperative (2831) specimens, were divided into four groups using cutoff points of 10%, 15%, and 20%. RESULTS: Groups with higher-Ki-67 levels, in both the pre- and postoperative periods, showed significantly larger tumor size, higher grade, more frequent hormone receptor-negativity and human epidermal growth factor receptor 2 overexpression, and active adjuvant treatments than groups with lower-Ki-67 levels. High-Ki-67 levels were also significantly associated with poor survival, irrespective of the timing of specimen examination. CONCLUSION: Despite the problems associated with Ki-67, Ki-67 level is an important independent prognostic factor, regardless of the timing of Ki-67 testing, i.e., preoperative or postoperative testing.

Surface Passivation of Layered MoSe2 via van der Waals Stacking of Amorphous Hydrocarbon.

Development of efficient surface passivation methods for semiconductor devices is crucial to counter the degradation in their electrical performance owing to scattering or trapping of carriers in the channels induced by molecular adsorption from the ambient environment. However, conventional dielectric deposition involves the formation of additional interfacial defects associated with broken covalent bonds, resulting in accidental electrostatic doping or enhanced hysteretic behavior. In this study, centimeter-scaled van der Waals passivation of transition metal dichalcogenides (TMDCs) is demonstrated by stacking hydrocarbon (HC) dielectrics onto MoSe2 field-effect transistors (FETs), thereby enhancing the electric performance and stability of the device, accompanied with the suppression of chemical disorder at the HC/TMDCs interface. The stacking of HC onto MoSe2 FETs enhances the carrier mobility of MoSe2 FET by over 50% at the n-branch, and a significant decrease in hysteresis, owing to the screening of molecular adsorption. The electron mobility and hysteresis of the HC/MoSe2 FETs are verified to be nearly intact compared to those of the fabricated HC/MoSe2 FETs after exposure to ambient environment for 3 months. Consequently, the proposed design can act as a model for developing advanced nanoelectronics applications based on layered materials for mass production.

Proteomics-based diagnostic peptide discovery for severe fever with thrombocytopenia syndrome virus in patients.

BACKGROUND: Severe fever with thrombocytopenia syndrome (SFTS) virus is an emerging infectious virus which causes severe hemorrhage, thrombocytopenia, and leukopenia, with a high fatality rate. Since there is no approved therapeutics or vaccines for SFTS, early diagnosis is essential to manage this infectious disease. METHODS: Here, we tried to detect SFTS virus in serum samples from SFTS patients by proteomic analysis. Firstly, in order to obtain the reference MS/MS spectral data of SFTS virus, medium from infected Vero cell culture was used for shotgun proteomic analysis. Then, tryptic peptides in sera from SFTS patients were confirmed by comparative analysis with the reference MS/MS spectral data of SFTS virus. RESULTS: Proteomic analysis of culture medium successfully discovered tryptic peptides from all the five antigen proteins of SFTS virus. The comparative spectral analysis of sera of SFTS patients revealed that the N-terminal tryptic peptide of the nucleocapsid (N) protein is the major epitope of SFTS virus detected in the patient samples. The prevalence of the peptides was strongly correlated with the viral load in the clinical samples. CONCLUSIONS: Proteomic analysis of SFTS patient samples revealed that nucleocapsid (N) protein is the major antigen proteins in sera of SFTS patients and N-terminal tryptic peptide of the N protein might be a useful proteomic target for direct detection of SFTS virus. These findings suggest that proteomic analysis could be an alternative tool for detection of pathogens in clinical samples and diagnosis of infectious diseases.

Serum proteomics of severe fever with thrombocytopenia syndrome patients.

BACKGROUND: Dabie bandavirus, also termed as severe fever with thrombocytopenia syndrome virus (SFTSV), was first isolated in China in 2010. At this time, the virus was found to have spread to South Korea, Japan, and other countries. A high case fatality rate is reported for SFTS, ranging from 12-50% within various sources. Several omics for clinical studies among SFTS patients as well as studies of cultured SFTSV have attempted to characterize the relevant molecular biology and epidemiology of the disease. However, a global serum proteomics analysis among SFTS patients has not yet been reported to date. METHODS: In the current study, we evaluated comparative serum proteomics among SFTS patients (eight recovered patients and three deceased patients) with the goal of identifying the protein expression patterns associated with the clinical manifestations of SFTS. RESULTS: The proteomic results in the current study showed that the coagulation factor proteins, protein S and protein C, were statistically significantly downregulated among the deceased patients. Downregulation of the complement system as well as prolonged neutrophil activation were also observed. Additionally, the downstream proteins of tumour necrosis factor alpha, neutrophil-activating cytokine, and interleukin-1ß, an inflammatory cytokine, were overexpressed. CONCLUSIONS: Thrombocytopenia and multiple organ failure are the major immediate causes of death among SFTS patients. In this study, serum proteomic changes related to thrombocytopenia, abnormal immune response, and inflammatory activation were documented in SFTS patients. These findings provide useful information for understanding the clinical manifestations of SFTS.

Application of the theory of planned behavior to understand physical activity intentions and behavior among Korean breast cancer survivors.

PURPOSE: The purpose of this study was to apply the theory of planned behavior (TPB) to understand physical activity intentions and behaviors among Korean breast cancer survivors. METHODS: A total of 286 Korean breast cancer survivors (Mage52.3 ± 8.3) completed a self-reported survey administered face to face by a trained interviewer. The survey assessed the physical activity frequency and intensity in a typical week after breast cancer diagnosis, demographic factors, and theory of planned behavior variables including attitude, subjective norm, perceived behavioral control (PBC), planning, and intentions to participate in physical activity. We used structural equation modeling to examine the direct and indirect effects of the TPB variables on physical activity intentions and behavior. Covariates included age, cancer stage, and clinical treatment. RESULTS: Confirmatory factor analyses indicated a satisfactory model fit. We observed direct effects for instrumental attitude (ß = 0.34, p < 0.001), subjective norm (ß = 0.12, p < 0.05), and PBC (ß = 0.57, p < 0.001) on physical activity intentions. PBC (ß = .17, p < 0.01) and physical activity intentions (ß = 0.46, p < 0.01) had direct effects on planning. PBC (ß = 0.28, p < 0.01) and planning (ß = 0.22, p < 0.01) had direct effects on physical activity behavior. CONCLUSION: The TPB was a useful model for understanding Korean breast cancer survivors' physical activity intentions and behavior. Interventions that can enhance attitudes, subjective norm, PBC, intention, and planning may facilitate physical activity intentions and behaviors in this population.

Secretome-based screening of fusion partners and their application in recombinant protein secretion in Saccharomyces cerevisiae.

For the efficient production of heterologous proteins in the yeast Saccharomyces cerevisiae, we screened for a novel fusion partner from the yeast secretome. From twenty major proteins identified from the yeast secretome, we selected Scw4p, a cell wall protein with similarity to glucanase, and modified to develop a general fusion partner for the secretory expression of heterologous proteins in yeast. The optimal size of the SCW4 gene to act as an efficient fusion partner was determined by C-terminal truncation analysis; two of the variants, S1 (truncated at codon 115Q) and S2 (truncated at codon 142E), were further used for the secretion of heterologous proteins. When fused with S2, the secretion of three target proteins (hGH, exendin-4, and hPTH) significantly increased. Conserved O-glycosylation sites (Ser/Thr-rich domain) and hydrophilic sequences of S2 were deemed important for the function of S2 as a secretion fusion partner. Approximately 5 g/L of the S2-exendin-4 fusion protein was obtained from fed-batch fermentation. Intact target proteins were easily purified by affinity chromatography after in vitro processing of the fusion partner. This system may be of general application for the secretory production of heterologous proteins in S. cerevisiae. KEY POINTS : • Target proteins were efficiently secreted with their N-terminus fused to Scw4p. • O-glycosylation and hydrophilic stretches in Scw4p were important for protein secretion. • A variant of Scw4p (S2) was successfully applied for the secretory expression of heterologous proteins.

Proteomic Analysis of Microorganisms.

At the early stage of the development of proteomic technologies, Escherichia coli or Saccharomyces cerevisiae were used as model microorganisms for high-throughput identification technologies, such as shotgun proteomics or 2D gel electrophoresis-based LC-MS/MS analysis [...].

Review of Liquid Chromatography-Mass Spectrometry-Based Proteomic Analyses of Body Fluids to Diagnose Infectious Diseases.

Rapid and precise diagnostic methods are required to control emerging infectious diseases effectively. Human body fluids are attractive clinical samples for discovering diagnostic targets because they reflect the clinical statuses of patients and most of them can be obtained with minimally invasive sampling processes. Body fluids are good reservoirs for infectious parasites, bacteria, and viruses. Therefore, recent clinical proteomics methods have focused on body fluids when aiming to discover human- or pathogen-originated diagnostic markers. Cutting-edge liquid chromatography-mass spectrometry (LC-MS)-based proteomics has been applied in this regard; it is considered one of the most sensitive and specific proteomics approaches. Here, the clinical characteristics of each body fluid, recent tandem mass spectroscopy (MS/MS) data-acquisition methods, and applications of body fluids for proteomics regarding infectious diseases (including the coronavirus disease of 2019 [COVID-19]), are summarized and discussed.

Blood Test for Breast Cancer Screening through the Detection of Tumor-Associated Circulating Transcripts.

Liquid biopsy has been emerging for early screening and treatment monitoring at each cancer stage. However, the current blood-based diagnostic tools in breast cancer have not been sufficient to understand patient-derived molecular features of aggressive tumors individually. Herein, we aimed to develop a blood test for the early detection of breast cancer with cost-effective and high-throughput considerations in order to combat the challenges associated with precision oncology using mRNA-based tests. We prospectively evaluated 719 blood samples from 404 breast cancer patients and 315 healthy controls, and identified 10 mRNA transcripts whose expression is increased in the blood of breast cancer patients relative to healthy controls. Modeling of the tumor-associated circulating transcripts (TACTs) is performed by means of four different machine learning techniques (artificial neural network (ANN), decision tree (DT), logistic regression (LR), and support vector machine (SVM)). The ANN model had superior sensitivity (90.2%), specificity (80.0%), and accuracy (85.7%) compared with the other three models. Relative to the value of 90.2% achieved using the TACT assay on our test set, the sensitivity values of other conventional assays (mammogram, CEA, and CA 15-3) were comparable or much lower, at 89%, 7%, and 5%, respectively. The sensitivity, specificity, and accuracy of TACTs were appreciably consistent across the different breast cancer stages, suggesting the potential of the TACTs assay as an early diagnosis and prediction of poor outcomes. Our study potentially paves the way for a simple and accurate diagnostic and prognostic tool for liquid biopsy.