Title：Evaluation of effectiveness of urinary tract infection diagnosis using automated urine sedimentation equipment (Sysmex UF5000)
Sub Title：Name：Haeyong Jung and Hae In Bang
Affiliation：Department of Laboratory Medicine, Soonchunhyang University Seoul Hospital, Seoul, Korea

Introduction

staining and culture results. Of the 14 specimens indicated ‘Gram

Urinary tract infection is a common disease that can be treated inPositive?’ 9 cases were consistent with Gram staining and culture

a short period of time by administering antibiotics. Recently itresults. We analyzed Fleiss' Kappa value between UF-5000 withhas reached a technology capable of distinguishing gram-positive

gram stain were 0.55 and UF-5000 with culture were 0.62.

cocci from gram-negative bacilli with automated urine
sedimentation equipment but the verification of this technology

Reviewis still insufficient.

Recently developed diagnostic test equipment is expected to beable to more quickly identify the causative bacteria of urinary

Materials and Methods

tract infections. Therefore, in this study, the consistency of theThe samples were selected from hospitalized or outpatients atresult of comparing the urine sediment automation equipment andSoonchunhyang University Seoul Hospital. We compared

the actual cultured microorganisms was low, so it is consideredbacteria flag in UF-5000 (Sysmex Corporation, Kobe, Japan)

to be limited for clinical use so far. However, since research andwith microbiological laboratory test results, and Kappa value wasdevelopment are continuously being conducted, it is expectedcalculated for statistical analysis.

that these technologies will be used in clinical practice in the near
future to contribute to the diagnosis and treatment of patients.

resultOf the 39 specimens marked as ‘Gram Negative?’ in theautomated equipment, 35 cases were consistent with both Gram

Key Words: Urinary tract infection, Sysmex UF-5000

Title：C4orf46 as a Novel Prognostic Biomarker in Hepatocellular Carcinoma using Bioinformatics Analysis
Sub Title : C4orf46 as a Novel Prognostic Biomarker in Hepatocellular Carcinoma
Name：Hye-Ran Kim, Choong Won Seo and Jongwan Kim*
Affiliation : Department of Biomedical Laboratory Science, Dong-Eui Institute of Technology, Busan 47230, Korea

Abstractaddition, the correlation between C4orf46 and infiltrating

Chromosome 4 is known to include genetic factors of various

immune cells (CD4+T cell, CD8+ T cell, B cells, neutrophil,cancers, including hepatocellular carcinoma (HCC), and factors

macrophage, and myeloid dendritic cells) is positively associatedrelated biomarkers for diagnosis of diseases in the human body.

in HCC. We identified the biological process categories andHowever, chromosome 4 open-reading frame 46 (C4orf46), ashowed that C4orf46 mainly participated in chromosome

member of the chromosome 4, have not yet been identified as

segregation, DNA replication, cell cycle G2/M phase transition,

biomarkers in HCC. In this study, the value of C4orf46 as a

microtubule cytoskeleton organization involved in mitosis,

prognostic biomarker in HCC was evaluated, and the correlation

mitotic cell cycle phase transition, etc. Moreover, we identified

with immune cells and molecular function were confirmed. It was

the molecular function categories and showed that C4orf46

analyzed using databases such as Kaplan-Meier plotter, themainly participated in single-stranded DNA binding, catalytic

university of alabama at birmingham cancer data analysis portal

activity, acting on DNA, histone binding, damaged DNA binding,(UALCAN), gene expression profiling interactive analysis

DNA secondary structure binding, helicase activity, etc. Theseversion 2 (GEPIA2), TIMER and LinkedOmics. The mRNA level

results suggest that C4orf46 is a potential as a novel prognosticof C4orf46 was expressed higher in HCC compared to normal

biomarker in HCC, we propose that further study of the detailedtissue. It was confirmed that high C4orf46 expression was related

mechanism of C4orf46 in HCC.

to poor prognosis according to results of survival rate such as
DSS (Disease specific survival), OS (Overall survival), PFS

Key Words: Hepatocellular carcinoma, C4orf46, Prognostic(progression free survival), RFS (Relapse free survival). In

biomarker, Immune cells