• Korean Journal of Radiology
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• 제22권7호
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• pp.1021-1033
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• 2021

Objective: To assess the expression of vascular normalization genes in different molecular subtypes of breast cancer and to determine whether molecular subtypes with a higher vascular normalization gene expression can be identified using dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) and intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI). Materials and Methods: This prospective study evaluated 306 female (mean age ± standard deviation, 50 ± 10 years), recruited between January 2014 and August 2017, who had de novo breast cancer larger than 1 cm in diameter (308 tumors). DCE MRI followed by IVIM DWI studies using 11 different b-values (0 to 1200 s/mm²) were performed on a 1.5T MRI system. The Tofts model and segmented biexponential IVIM analysis were used. For each tumor, the molecular subtype (according to six [I-VI] subtypes and PAM50 subtypes), expression profile of genes for vascular normalization, pericytes, and normal vascular signatures were determined using freshly frozen tissue. Statistical associations between imaging parameters and molecular subtypes were examined using logistic regression or linear regression with a significance level of p = 0.05. Results: Breast cancer subtypes III and VI and PAM50 subtypes luminal A and normal-like exhibited a higher expression of genes for vascular normalization, pericyte markers, and normal vessel function signature (p < 0.001 for all) compared to other subtypes. Subtypes III and VI and PAM50 subtypes luminal A and normal-like, versus the remaining subtypes, showed significant associations with K^trans, k_ep, v_p, and IAUGC_BN90 on DEC MRI, with relatively smaller values in the former. The subtype grouping was significantly associated with D, with relatively less restricted diffusion in subtypes III and VI and PAM50 subtypes luminal A and normal-like. Conclusion: DCE MRI and IVIM parameters may identify molecular subtypes of breast cancers with a different vascular normalization gene expression.

• Proceedings of the Microbiological Society of Korea Conference
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• 한국미생물학회 2006년도 International Meeting of the Microbiological Society of Korea
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• pp.129-131
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• 2006

Through molecular phylogenetic analysis using the nef gene sequences of HIV-l isolated from Korean registered in the NCBI GenBank together with 41 reference strains and 94 foreign isolates, we verified that most (${\sim}80%$) of Korean isolates belonged to subtype B and 78% of subtype B were clustered together exclusively of foreign isolates, and this cluster was named Korean clade subtype B ($K_cB$). Similarity study suggested that the $K_cB$ cluster was more homogeneous than and clearly distinctive from the non-Korean subtype B ($NK_cB$). Comparison of the consensus amino acid sequences of the $K_cB\;or\;NK_cB$ revealed characteristic $K_cB$ signature amino acid pattern comprised of 13 amino acid residues. The $K_cB$ signature amino acid residues were critical in separating the $K_cB$ ftom the $NK_cB$, since substitution of the $NK_cB$ sequences with $K_cB$ signature amino acids relocated them to the Koran clade, and vice versa. Synonymous and nonsynonymous substitution rate study suggested positive selection event for the $K_cB$.

• Korean Journal of Veterinary Research
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• 제38권4호
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• pp.909-917
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• 1998

Six different sequences types(A through E and H) and a subtype(Bl) of the small subunit ribosomal RNA(SSUrRNA) gene were found in bovine Theileria isolates from different areas of Korea and Japan. The sequences were aligned and three hypervariable regions were observed in the nucleotide position ranges 212~231, 261~270 and 632~690. Five of the Theileria isolates yielded sequence type A; these were the field isolates KCB, KCN, and KCJ, and the laboratory stock KLS, all from Korea, and a single isolate from Japan (JHS). This sequence type is identical to the SSUrRNA gene sequence listed for Theileria buffeli (GenBank Accession No. Z15106) from Marula, Kenya. The Korean field isolate KKB yielded only a single sequence type (B), but multiple sequence types were found in some isolates. For example, KCB and JHS isolates yielded both types A and B ; isolate KKW showed types B and H; isolate KCN showed types A, C, and D ; and isolate KCJ showed types A, B, E, and a subtype B1. Finding of the multiple sequences SSUrRNA gene sequences suggests that bovine Theileria isolates from both Korea and Japan may consist of mixed populations.

• Journal of Gastric Cancer
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• 제5권3호
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• pp.180-185
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• 2005

Purpose: Among tumor-associated antigens, MAGE (melanoma antigen) was named as cancer/testis specific antigens because they are detected exclusively in the testis or cancer cells, including gastric carcinomas. Due to the elicitation of autoimmunitiy to tumors by these antigens either in vitro or in vivo and their tumor specificity, these antigens, thus, appear to be potential targets for tumor-specific immunotherapy. Materials and Methods: The fresh tumor tissue and normal gastric tissue samples were obtained from resected surgical specimens in 53 patients with gastric carcinomas. From the obtained cells, total cellular mRNA was extracted, and RT-PCR and nested PCR were run in 30 and 35 cycles respectively, with two different kinds of primers specially designed to detect six subtypes of MAGE DNA simultaneously. Results: In the 53 normal tissue, there was no expression of MAGE, but in the 53 cancer tissues, MAGE was expressed in 13 tissues (24.5%). Our data did not exhibit any correlation with the expression of the MAGE gene and clinicopathological factors. Conclusion: In our data, since 24.5% of gastric cancer tissues expressed MAGE, it should become possible to immunize a significant proportion of patients with advanced gastric carcinomas against the antigens encoded by these genes, provided that more antigenic peptides encoded by the genes of the MAGE family can be identified in the near future. (J Korean Gastric Cancer Assoc 2005;5:180-185)

• Korean Journal of Microbiology
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• 제43권1호
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• pp.23-30
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• 2007

The most rapid Real-time PCR based detection method for Avian influenza A virus (AIV) subtype H5N1 was developed. The target DNA sequence in this study was deduced from H5N1 subtype-specific 387 bp partial gene of hemagglutinin, and was synthesized by using PCR-based gene synthesis on the ground of safety. Real-Time PCR was performed by $GenSpector^{TM}$ using microchip-based, total $1{\mu}l$ of reaction mixture with extremely short time in each steps in PCR. The detection including PCR-amplication and analysis of melting temperature was totally completed within 13 min. The H5N1-specific 189 bp PCR product was correctly amplified until 2.4 molecules of hemagglutinin gene as minimum of templates. This kind of PCR was designated as Quick Real-Time PCR in this study and it could be applied to detect not only AIV H5N1, but also other pathogens using PCR-based detection.

• Genomics & Informatics
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• 제17권3호
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• pp.30.1-30.4
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• 2019

Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool for cancer diagnosis and subtype classification. However, no attempts have yet been made to apply deep learning using gene expression to neuroblastoma classification, although deep learning has been applied to cancer diagnosis using image data. Taking the International Neuroblastoma Staging System stages as multiple classes, we designed a deep neural network using the gene expression patterns and stages of neuroblastoma patients. Despite a small patient population (n = 280), stage 1 and 4 patients were well distinguished. If it is possible to replicate this approach in a larger population, deep learning could play an important role in neuroblastoma staging.

• Asian Pacific Journal of Cancer Prevention
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• 제16권11호
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• pp.4521-4524
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• 2015

Background: Endometrial carcinoma is the most common malignant tumor of the female genital tract and the fourth most common cancer in Iranian women after breast, colorectal and lung cancers. Various genetic alterations appear to be early events in the pathogenesis of endometrial carcinoma and it seems that PTEN is the most commonly mutated gene in the endometrioid subtype. The aim of the present study was to investigate the correlation between mutations in exon 7 of PTEN gene and endometrial carcinoma. Materials and Methods: Seventy-five patients with endometrial carcinoma and 75 females whose underwent hysterectomy for non tumoral indication were selected for evaluation of PTEN mutations in exon 7 by PCR-SSCP and sequencing. Correlations between the frequency and type of mutation and the pathologic findings of the cancer (tumor subtype, stage and grade) were assessed. Results: All of the samples were obtained from Iranian patients. 60 % (45 cases) of the tumors were endometriod and 40% (30 cases) were of serous type. The grade distributions of the 75 cases according to the FIGO staging system were as follows: low grade, 20 cases; high grade 55 cases, low stage, 41 cases; high stage 34 cases. For exon 7 of the PTEN gene, the analysis showed that there were no mutations in our cases. Conclusions: Our findings in the present study suggest that exon 7 of PTEN does not play any significant role in the development of endometrial carcinoma in Iranian cases.

• Journal of Microbiology and Biotechnology
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• 제10권6호
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• pp.823-828
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• 2000

The complete nucleotide sequence of hepatitis B virus DNA isolated from Korean patient serum was determined and characterized, and its phylogenetic relation was then investigated. The viral genome was 3,215 base pairs long and included four well known open reading frames (i.e. surface antigens, core antigens, X protein and DNA polymerase). The sequence of the surface antigen showed that the HBV genome under investigation, designated HBV 315, was characteristic of subtype adr. A phylogenetic analysis using the total genome sequence revealed that HBV315 was grouped into genomic group C together with isolates from Japan, China, Thailand, Polynesia, and New Caledonia. The mean percent similarity between HBV315 and other HBV isolates in genomic group C was 97.25%, and that with other genomic groups ranged from 86.16% to 91.25%. The predicted amino acid sequences of HBV315 were compared with two closely related subtype adr isolates, M38636 and D12980. The results showed that the X gene product was identical in the three strains, while there were significant amino acid sequence differences between HBV315 and M38636 in the Pre-S1 and Pre-S2 regions.

• Journal of Institute of Control, Robotics and Systems
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• 제11권10호
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• pp.830-836
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• 2005

Application of microarray technologies which monitor simultaneously the expression pattern of thousands of individual genes in different biological systems results in a tremendous increase of the amount of available gene expression data and have provided new insights into gene expression during drug development, within disease processes, and across species. There is a great need of data mining methods allowing straightforward interpretation, visualization and analysis of the relevant information contained in gene expression profiles. Specially, classifying biological samples into known classes or phenotypes is an important practical application for microarray gene expression profiles. Gene expression profiles obtained from tissue samples of patients thus allowcancer classification. In this research, molecular classification of microarray gene expression data is applied for multi-class cancer using computational biology such gene selection, principal component analysis and fuzzy clustering. The proposed method was applied to microarray data from leukemia patients; specifically, it was used to interpret the gene expression pattern and analyze the leukemia subtype whose expression profiles correlated with four cases of acute leukemia gene expression. A basic understanding of the microarray data analysis is also introduced.

• Asian Pacific Journal of Cancer Prevention
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• 제13권5호
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• pp.1881-1886
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• 2012

Breast cancer is a heterogeneous disease that is affected by ethnicity of patients. According to hormone receptor status and gene expression profiling, breast cancers are classified into four molecular subtypes, each showing distinct clinical behavior. Lack of sufficient data on molecular subtypes of breast cancer in Iran, prompted us to investigate the prevalence and the clinicopathological features of each subtype among Iranian women. A total of 428 women diagnosed with breast cancer from 2002 to 2011 were included and categorized into four molecular subtypes using immunohistochemistry. Prevalence of each subtype and its association with patients' demographics and tumor characteristics, such as size, grade, lymph-node involvement and vascular invasion, were investigated using Chi-square, analysis of variance and multivariate logistic regression. Luminal A was the most common molecular subtype (63.8%) followed by Luminal B (8.4%), basal-like (15.9%) and HER-2 (11.9%). Basal-like and HER-2 subtypes were mostly of higher grades while luminal A tumors were more of grade 1 (P<0.001). Vascular invasion was more prevalent in HER-2 subtype, and HER-2 positive tumors were significantly associated with vascular invasion (P=0.013). Using muti-variate analysis, tumor size greater than 5 cm and vascular invasion were significant predictors of 3 or more nodal metastases. Breast cancer was most commonly diagnosed in women around 50 years of age and the majority of patients had lymph node metastasis at the time of diagnosis. This points to the necessity for devising an efficient screening program for breast cancer in Iran. Further, prospective surveys are suggested to evaluate prognosis of different subtypes in Iranian patients.