Purpose: Tyrosine kinase inhibitors (TKI) targeting vascular endothelial growth factor receptor (VEGFR) signaling pathways have been used for metastatic clear cell renal cell carcinoma (mCCRCC), but resistance to the drug develops in most patients. We aimed to explore the underlying mechanism of the TKI resistance with regard to programmed death-ligand 1 (PD-L1) and to investigate signaling pathway associated with the resistant mechanism. Materials and Methods: To determine the mechanism of resistance, 10 mCCRCC patients from whom tumor tissues were harvested at both the pretreatment and the TKI-resistant post-treatment period were included as the discovery cohort, and their global gene expression profiles were compared. A TKI-resistant renal cancer cell line was established by long-term treatment with sunitinib. Results: Among differentially expressed genes in the discovery cohort, increased PD-L1 expression in post-treatment tissues was noted in four patients. Pathway analysis showed that PD-L1 expression was positively correlated with the mammalian target of rapamycin (mTOR) signaling pathway. The TKI-resistant renal cancer cells showed increased expression of PD-L1 and mTOR signaling proteins and demonstrated aggressive tumoral behaviour. Treatment with mTOR inhibitors down-regulated PD-L1 expression and suppressed aggressive tumoral behaviour, which was reversed with stimulation of the mTOR pathway. Conclusion These results showed that PD-L1 expression may be increased in a subset of VEGFR-TKI–resistant mCCRCC patients via the mTOR pathway.

Cell transformation induced by epidermal growth factor (EGF) and 12-O-tetradecanoylphorbol-13-acetate (TPA) is a critical event in cancer initiation and progression, and understanding the underlying mechanisms is essential for the development of new therapeutic strategies. Licorice extract contains various bioactive compounds, which have been reported to have anticancer and anti-inflammatory effects. This study investigated the cancer preventive efficacy of licochalcone D (LicoD), a chalcone derivative in licorice extract, in EGF and TPA-induced transformed skin keratinocyte cells. LicoD effectively suppressed EGF-induced cell proliferation and anchorage-independent colony growth. EGF and TPA promoted the S phase of cell cycle, while LicoD treatment caused G1 phase arrest and down-regulated cyclin D1 and up-regulated p21 expression associated with the G1 phase. LicoD also induced apoptosis and increased apoptosis-related proteins such as cleaved-caspase-3, cleaved-caspase-7, and Bax (Bcl-2-associated X protein). We further investigated the effect of LicoD on the AKT signaling pathway involved in various cellular processes and found decreased p-AKT, p-GSK3β, and p-NFκB expression. Treatment with MK-2206, an AKT pharmacological inhibitor, suppressed EGF-induced cell proliferation and transformed colony growth. In conclusion, this study demonstrated the potential of LicoD as a preventive agent for skin carcinogenesis.

BACKGROUND: Mechanism and predictive biomarkers for tyrosine kinase inhibitor (TKI) resistance of advanced clear cell renal cell carcinoma (ccRCC) have not been fully evaluated. METHODS: We performed gene expression profiling on samples from an acquired TKI resistance cohort that consisted of 10 cases of TKI-treated ccRCC patients with matched tumor tissues harvested at pre-treatment and TKI-resistant post-treatment periods. In addition, a public microarray dataset from patient-derived xenograft model for TKI-treated ccRCC (GSE76068) was retrieved. Commonly altered pathways between the datasets were investigated by Ingenuity Pathway Analysis using commonly regulated differently expressed genes (DEGs). The significance of candidate DEG on intrinsic TKI resistance was assessed through immunohistochemistry in a separate cohort of 101 TKI-treated ccRCC cases. RESULTS: TNFRSF1A gene expression and tumor necrosis factor (TNF)-α pathway were upregulated in ccRCCs with acquired TKI resistance in both microarray datasets. Also, high expression (> 10% of labeled tumor cells) of TNF receptor 1 (TNFR1), the protein product of TNFRSF1A gene, was correlated with sarcomatoid dedifferentiation and was an independent predictive factor of clinically unfavorable response and shorter survivals in separated TKI-treated ccRCC cohort. CONCLUSION TNF-α signaling may play a role in TKI resistance, and TNFR1 expression may serve as a predictive biomarker for clinically unfavorable TKI responses in ccRCC.

10% of labeled tumor cells) of TNF receptor 1 (TNFR1), the protein product of TNFRSF1A gene, was correlated with sarcomatoid dedifferentiation and was an independent predictive factor of clinically unfavorable response and shorter survivals in separated TKI-treated ccRCC cohort.CONCLUSION: TNF-α signaling may play a role in TKI resistance, and TNFR1 expression may serve as a predictive biomarker for clinically unfavorable TKI responses in ccRCC.]]>
Biomarkers ; Carcinoma, Renal Cell ; Cohort Studies ; Dataset ; Drug Resistance ; Gene Expression ; Gene Expression Profiling ; Heterografts ; Humans ; Immunohistochemistry ; Protein-Tyrosine Kinases ; Receptors, Tumor Necrosis Factor ; Receptors, Tumor Necrosis Factor, Type I ; Tumor Necrosis Factor-alpha

Fungi are a major cause of human infections with diverse clinical manifestations. The incidence of fungal infections has increased over time, particularly in patients who have risk factors such as neutropenia, immune suppression, an intravascular catheter, parenteral nutrition, a prosthetic device, and prior broad spectrum antibiotic therapy. Here, we present an unusual case of co-infection by 2 distinct fungi, Candida parapsilosis and Trichosporon asahii, isolated from a patient who did not have any known risk factors initially, except active pulmonary tuberculosis. Despite the negative conversion of sputum acid-fast bacilli (AFB) culture test after treatment, clinical symptoms were refractory to therapy. The patient developed symptoms suggesting septic shock, and 2 distinct colonies were isolated from a blood specimen, which were identified as C. parapsilosis and T. asahii by MALDI-TOF and rRNA sequencing. Fever and hypotension were relieved after anti-fungal agent injection, and pulmonary lesions identified by imaging also improved.
Candida ; Catheters ; Coinfection ; Fever ; Fungemia ; Fungi ; Humans ; Hypotension ; Incidence ; Neutropenia ; Parenteral Nutrition ; Risk Factors ; Shock, Septic ; Sputum ; Trichosporon ; Tuberculosis, Pulmonary

BACKGROUND: Ovarian epithelial cancer (OEC) is the second-most common gynecologic malignancy. CD109 expression is elevated in human tumor cell lines and carcinomas. A previous study showed that CD109 expression is elevated in human tumor cell lines and CD109 plays a role in cancer progression. Therefore, this study aimed to determine whether CD109 is expressed in OEC and can be useful in predicting the prognosis. METHODS: Immunohistochemical staining for CD109 and reverse transcription-quantitative polymerase chain reaction was performed. Then we compared CD109 expression and chemoresistance, overall survival, and recurrence-free survival of OEC patients. Chemoresistance was evaluated by dividing into good-response group and poor-response group by the time to recurrence after chemotherapy. RESULTS: CD109 expression was associated with overall survival (p = .020), but not recurrence-free survival (p = .290). CD109 expression was not an independent risk factor for overall survival due to its reliability (hazard ratio, 1.58; p = .160; 95% confidence interval, 0.82 to 3.05), although we found that CD109 positivity was related to chemoresistance. The poor-response group showed higher rates of CD109 expression than the good-response group (93.8% vs 66.7%, p = .047). Also, the CD109 mRNA expression level was 2.88 times higher in the poor-response group as compared to the good-response group (p = .001). CONCLUSIONS: Examining the CD109 expression in patients with OEC may be helpful in predicting survival and chemotherapeutic effect.
Cell Line, Tumor ; Drug Therapy ; Humans ; Polymerase Chain Reaction ; Prognosis ; Recurrence ; Risk Factors ; RNA, Messenger

BACKGROUND: Although transfusion in neonates needs to be strictly regulated due to the vulnerability of neonates, there is lack of systematic studies and the working process is not well-established. This study was aimed to point out the problems of current status and to improve the efficiency of systems used in blood aliquots for neonatal transfusions. METHODS: Total red blood cell (RBC) aliquots were analyzed between May 2009 and January 2016 in the neonate intensive care unit. We investigated the aliquot number, issued day interval from the first issued aliquot among the post-aliquots, patients' blood type, and discarded RBC units among the requested RBC units. RESULTS: Of the 472 RBC aliquots, 95.4% (450/472) were divided into two units. The distribution of patients' blood type was similar to that of the Korean population, in decreasing order: A blood group (34.3%), B group (28.2%), and O group (27.5%). The second, third, and forth units of post-aliquots were taken after an average of 49.9 (0∼617.9) hours. Among the post-aliquots, the number of units discarded without use was 22.5%. CONCLUSION: According to the evaluation of current status for neonatal transfusions, we should use aliquot RBC properly and reduce unnecessary requests for aliquot RBC. In addition, in order to reduce the number of near misses, we propose a new label to be attached on the aliquotted blood bags and suggest a development of electronic blood issuing system.
Erythrocytes* ; Humans ; Infant, Newborn ; Intensive Care Units

In the past decade, clinical microbiology underwent revolutionary changes in methods used to identify microorganisms, a transition from slow and traditional microbial identification algorithms to rapid molecular methods and mass spectrometry (MS). Earlier, MS was clinically used as a highly complex method that was adapted for protein-centered analysis of samples in chemistry laboratories. Recently, a paradigm-shift happened when matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) MS was implemented to be used in microbiology laboratories for rapid and robust methods for accurate microbial identification. Two instrument platforms, marketed by well-established manufacturers, are beginning to displace automated phenotypic identification instruments and in some cases even genetic sequence-based identification practices. This review summarizes the current role of MALDI-TOF MS in clinical research, in diagnostic clinical microbiology laboratories, and serves as an introduction to MALDI-TOF MS, highlighting research associated with sample preparation, algorithms, interpretations, and limitations. Currently available MALDI-TOF MS instruments as well as software platforms that support the use of MALDI-TOF with direct specimens have been discussed in this review. Finally, clinical laboratories are consistently striving to extend the potential of these new methods, often in partnership with developmental scientists, resulting in novel technologies, such as MALDI-TOF MS, which could shape and define the diagnostic landscape for years to come.
Chemistry ; Mass Spectrometry

BACKGROUND: The Rh blood group includes several antigens, of which D, C, E, c, and e are clinically important. Although nucleic acids from whole blood can be used for Rh blood group genotyping, it is also possible to genotype free circulating fetal nucleic acids from plasma and serum. We performed Rh blood group phenotyping and genotyping using nucleic acids from whole blood and free circulating nucleic acids from plasma and serum, respectively. The results were compared. METHODS: Forty-four blood samples were phenotyped and genotyped for RhD and RhCE blood groups. Phenotyping was performed by hemagglutination assay. Further tests were performed on RhD-negative samples. Nucleic acids were extracted from whole blood, plasma, and serum. Plasma and serum were prepared after filtration and genotyped by real-time polymerase chain reaction. RESULTS: RhD blood group results showed one (2.3%) discrepant case in which the DEL phenotype appeared wild RHD genotype. Among nucleic acids, there were seven discrepant results: two from plasma and five from serum based on whole blood nucleic acids. RhCE blood group results showed three (6.8%) phenotype-genotype discordances. Among nucleic acids, seven (15.9%mpared to phenotypes. Kappa coefficients of serum were lower than those of plasma. CONCLUSION: RHD and RHCE genotype could be identified by assaying free circulating nucleic acids in plasma or serum. This study suggests that plasma is more reliable than serum as a specimen for RHD and RHCE genotyping of free circulating nucleic acids.
Blood Group Antigens ; Filtration ; Genotype ; Hemagglutination ; Nucleic Acids* ; Phenotype ; Plasma* ; Real-Time Polymerase Chain Reaction

BACKGROUND: The majority of patients undergoing stem cell transplantation (SCT) require a blood transfusion until the complete engraftment. Because blood transfusion rules for patients with ABO-incompatible SCT are complicated, we developed an ABO-incompatible transfusion management system (ABO-ITMS) for accurate blood transfusion and improved manageability. METHODS: A committee composed of medical doctors, technicians, and a programmer developed ABO-ITMS during the eight months from July 2013 to February 2014. The program has been linked with other databases, including clinical and laboratory databases and resulted in a new subsystem of the health information system. Server computer's operating system was Window Server 2008, and the database manager program was Oracle 11g. Programming language was ASP.Net (VBScript, C #), and the server and client computer were used to connect to the web server using a web browser. RESULTS: ABO-ITMS was designed to follow three main steps by hematologic oncology clinic, laboratory physician, and blood bank. In the first step, a hematologic-oncology clinic doctor inputs SCT recipients' data and appropriate ABO group for each phase of post-transplantation. Laboratory physician enters the isoagglutinin titer and ABO group at the second step. Finally, blood bank workers enter the results of type, screening, and antibody identification. The patient's SCT information and the previous immunohematologic test results are shown on the screen. CONCLUSION: ABO-ITMS can replace the existing complicated system and workflow. ABO-ITMS will contribute to reducing medical error and improving quality of SCT recipient care.
Blood Banks ; Blood Transfusion* ; Health Information Systems ; Humans ; Mass Screening ; Medical Errors ; Programming Languages ; Stem Cell Transplantation* ; Web Browser