• Toxicological Research
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• 제32권4호
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• pp.289-300
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• 2016

Non-genotoxic carcinogens are substances that induce tumorigenesis by non-mutagenic mechanisms and long term rodent bioassays are required to identify them. Recent studies have shown that transcription profiling can be applied to develop early identifiers for long term phenotypes. In this study, we used rat liver expression profiles from the NTP (National Toxicology Program, Research Triangle Park, USA) DrugMatrix Database to construct a gene classifier that can distinguish between non-genotoxic carcinogens and other chemicals. The model was based on short term exposure assays (3 days) and the training was limited to oxidative stressors, peroxisome proliferators and hormone modulators. Validation of the predictor was performed on independent toxicogenomic data (TG-GATEs, Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System, Osaka, Japan). To build our model we performed Random Forests together with a recursive elimination algorithm (VarSelRF). Gene set enrichment analysis was employed for functional interpretation. A total of 770 microarrays comprising 96 different compounds were analyzed and a predictor of 54 genes was built. Prediction accuracy was 0.85 in the training set, 0.87 in the test set and increased with increasing concentration in the validation set: 0.6 at low dose, 0.7 at medium doses and 0.81 at high doses. Pathway analysis revealed gene prominence of cellular respiration, energy production and lipoprotein metabolism. The biggest target of toxicogenomics is accurately predict the toxicity of unknown drugs. In this analysis, we presented a classifier that can predict non-genotoxic carcinogenicity by using short term exposure assays. In this approach, dose level is critical when evaluating chemicals at early time points.

• Asian Pacific Journal of Cancer Prevention
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• 제14권10호
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• pp.5579-5587
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• 2013

Research indicates that a small population of cancer cells is highly tumorigenic, endowed with the capacity for self-renewal, and has the ability to differentiate into cells that constitute the bulk of tumors. These cells are considered the "drivers" of the tumorigenic process in some tumor types, and have been named cancer stem cells (CSC). Epithelial-mesenchymal transition (EMT) appears to be involved in the process leading to the acquisition of stemness by epithelial tumor cells. Through this process, cells acquire an invasive phenotype that may contribute to tumor recurrence and metastasis. CSC have been identified in human head and neck squamous cell carcinomas (HNSCC) using markers such as CD133 and CD44 expression, and aldehyde dehydrogenase (ALDH) activity. Head and neck cancer stem cells reside primarily in perivascular niches in the invasive fronts where endothelial-cell initiated events contribute to their survival and function. Clinically, CSC enrichment has been shown to be enhanced in recurrent disease, treatment failure and metastasis. CSC represent a novel target of study given their slow growth and innate mechanisms conferring treatment resistance. Further understanding of their unique phenotype may reveal potential molecular targets to improve therapeutic and survival outcomes in patients with HNSCC. Here, we discuss the state-of-the-knowledge on the pathobiology of cancer stem cells, with a focus on the impact of these cells on head and neck tumor progression, metastasis and recurrence due to treatment failure.

• Genomics & Informatics
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• 제18권4호
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• pp.42.1-42.9
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• 2020

Chromatin immunoprecipitation coupled with high-throughput DNA sequencing (ChIP-Seq) is a powerful technology to profile the location of proteins of interest on a whole-genome scale. To identify the enrichment location of proteins, many programs and algorithms have been proposed. However, none of the commonly used peak calling programs could accurately explain the binding features of target proteins detected by ChIP-Seq. Here, publicly available data on 12 histone modifications, including H3K4ac/me1/me2/me3, H3K9ac/me3, H3K27ac/me3, H3K36me3, H3K56ac, and H3K79me1/me2, generated from a human embryonic stem cell line (H1), were profiled with five peak callers (CisGenome, MACS1, MACS2, PeakSeq, and SISSRs). The performance of the peak calling programs was compared in terms of reproducibility between replicates, examination of enriched regions to variable sequencing depths, the specificity-to-noise signal, and sensitivity of peak prediction. There were no major differences among peak callers when analyzing point source histone modifications. The peak calling results from histone modifications with low fidelity, such as H3K4ac, H3K56ac, and H3K79me1/me2, showed low performance in all parameters, which indicates that their peak positions might not be located accurately. Our comparative results could provide a helpful guide to choose a suitable peak calling program for specific histone modifications.

• 한국가족관계학회지
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• 제22권4호
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• pp.81-105
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• 2018

Objective: The purpose of this study was to analyze how couples relationship education (CRE) programs in Korean scholarly journals have been developed since they first appeared in 1994. Method: We selected articles that were published in journals related to human ecology and that included information about how the authors developed CRE programs (premarital education, marriage education). Using coding schemes based on the theoretical frameworks of CRE, we quantitatively coded programs in four specific areas: (a) overall characteristics, (b) program planning, (c) program construction and implementation, and (d) program evaluation. Results: Although CRE programs have increased and evolved since the 1990s, the literature has been limited on testing long-term program efficacy, developing dissemination plans, and applying theories to program design. In terms of program participants and content, most programs had similar themes despite their differences in the target audience. We also found that few programs have been provided for diverse couples. As for evaluation, pre- and post-testing was the most common method of efficacy test. Conclusion: Our findings suggest that family researchers and practitioners develop more elaborate and systematic programs to advance CRE in Korea as a core topic of family life education and to provide evidence-informed practice.

• 한국어류학회지
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• 제33권4호
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• pp.205-216
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• 2021

한 유전좌위 또는 소수의 유전좌위에 기반한 계통발생학적 재구성은 분자 계통수/종 계통수의 불일치로 인해 오해를 불러일으킬 수 있다. 종의 구분과 종내 연구에서도 적은 유전좌위를 사용할 때 통계력 부족으로 해상도가 낮은 경우가 많이 발생한다. 엑손 포획법은 게놈 규모의 데이터를 수집하는 가장 효율적인 방법 중 하나로, 종내 및 상위 수준에서 생물의 패턴과 역사를 구명하는 연구에 크게 이바지할 수 있다. 이 논문에서는 단일 유전자 방법에서 게놈 접근으로의 전환의 진보와 게놈 기술에 비해 엑손 포획법의 적용 이점을 설명하였다. 또한 엑손 포획법의 원리를 설명하고 이 방법의 적용을 위한 상세한 제언을 기술하였다. 최종적으로, 두 가지 적용을 활용한 엑손 포획법을 설명하고 이 기술에 대한 미래 전망을 논의하였다.

• 동의생리병리학회지
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• 제36권6호
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• pp.229-234
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• 2022

Lung cancer is the leading cause of cancer-related deaths worldwide. Indigo Naturalis (IN) is a dark blue powder obtained by processing leaves or stems of indigo plants, its anticancer effects have been reported in several studies. However, the pharmacological mechanism of IN in small cell lung cancer (SCLC) is not elucidated. In this study, to investigate the anticancer efficacy of IN for SCLC, we presented potential active ingredients, SCLC-related targets, and pharmacological mechanisms of IN that are expected to have anticancer activity for SCLC using a network pharmacological analysis. The phytochemical compounds of IN have been collected through TCMSP, SymMap, or HPLC documents. The active ingredients of IN such as indirubin, indican, isatin, and tryptanthrin were selected through ADME parameters or literature investigations for each compound. Using the Compounds, Disease-Target associations Databases, 124 common targets of IN and SCLC were obtained. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway enrichment analysis was carried out. GO biological processes are associated with response to xenobiotic stimulus, positive regulation of protein phosphorylation, regulation of mitotic cell cycle, and regulation of apoptotic signaling pathway. KEGG disease pathways included Gastric cancer, Bladder cancer, SCLC, and Melanoma. The main anticancer targets of the IN for SCLC were analyzed in 14 targets, including BCL2, MYC, and TP53. In conclusion, the results of this study based on the network pharmacology of IN can provide important data for the effective prevention and treatment of SCLC.

• Genomics & Informatics
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• 제21권2호
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• pp.22.1-22.15
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• 2023

Kidney renal clear cell carcinoma (KIRC) is one of the most aggressive cancer type of the urinary system. Metastatic KIRC patients have poor prognosis and limited therapeutic options. Ankyrin 3 (ANK3) is a scaffold protein that plays important roles in maintaining physiological function of the kidney and its alteration is implicated in many cancers. In this study, we investigated differential expression of ANK3 in KIRC using GEPIA2, UALCAN, and HPA databases. Survival analysis was performed by GEPIA2, Kaplan-Meier plotter, and OS-kirc databases. Genetic alterations of ANK3 in KIRC were assessed using cBioPortal database. Interaction network and functional enrichment analyses of ANK3-correlated genes in KIRC were performed using GeneMANIA and Shiny GO, respectively. Finally, the TIMER2.0 database was used to assess correlation between ANK3 expression and immune infiltration in KIRC. We found that ANK3 expression was significantly decreased in KIRC compared to normal tissues. The KIRC patients with low ANK3 expression had poorer survival outcomes than those with high ANK3 expression. ANK3 mutations were found in 2.4% of KIRC patients and were frequently co-mutated with several genes with a prognostic significance. ANK3-correlated genes were significantly enriched in various biological processes, mainly involved in peroxisome proliferator-activated receptor (PPAR) signaling pathway, in which positive correlations of ANK3 with PPARA and PPARG expressions were confirmed. Expression of ANK3 in KIRC was significantly correlated with infiltration level of B cell, CD8+ T cell, macrophage, and neutrophil. These findings suggested that ANK3 could serve as a prognostic biomarker and promising therapeutic target for KIRC.

• Journal of Ginseng Research
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• 제47권5호
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• pp.645-653
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• 2023

Background: Changes to work-life balance has increased the incidence of cervical cancer among younger people. A minor ginseng saponin known as ginsenoside Rk1 can inhibit the growth and survival of human cancer cells; however, whether ginsenoside Rk1 inhibits HeLa cell proliferation is unknown. Methods and results: Ginsenoside Rk1 blocked HeLa cells in the G0/G1 phase in a dose-dependent manner and inhibited cell division and proliferation. Ginsenoside Rk1 markedly also activated the apoptotic signaling pathway via caspase 3, PARP, and caspase 6. In addition, ginsenoside Rk1 increased LC3B protein expression, indicating the promotion of the autophagy signaling pathway. Protein processing in the endoplasmic reticulum signaling pathway was downregulated in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, consistent with teal-time quantitative PCR and western blotting that showed YOD1, HSPA4L, DNAJC3, and HSP90AA1 expression levels were dramatically decreased in HeLa cells treated with ginsenoside Rk1, with YOD1 was the most significantly inhibited by ginsenoside Rk1 treatment. Conclusion: These findings indicate that the toxicity of ginsenoside Rk1 in HeLa cells can be explained by the inhibition of protein synthesis in the endoplasmic reticulum and enhanced apoptosis, with YOD1 acting as a potential target for cervical cancer treatment.

• Korean Journal of Acupuncture
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• 제41권1호
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• pp.7-15
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• 2024

Objectives : This study aimed to predict the effectiveness and potential of Schizonepeta tenuifolia as an anticancer treatment for non-small cell lung cancer through network-based pharmacology and cellular experiment. Methods : To identify the major bioactive compounds in Schizonepeta tenuifolia, we used the Traditional Chinese Medicine Systems. The target genes for the cancer treatment were selected using the UniProt database and the networked using Cytoscape. We performed functional enrichment analysis based on the Gene Ontology Biological Process and Kyoto Encyclopedia of Genes and Genomes Pathways to predict the mechanisms. To investigate the effect of Schizonepeta tenuifolia on lung cancer cell growth, we treated A549 cells, a lung cancer cell line, with different concentrations of the drug and used the MTT assay for cell viability. Results : Research has shown that the most effective mechanism of active compounds from Schizonepeta tenuifolia is through the pathway of cancer. The results of the network pharmacology analysis indicate that Schizonepeta tenuifolia has potential medicinal value as an adjuvant in anticancer treatment. The concentration-dependent inhibition of cell viability was observed on A549 cells. Furthermore, synergistic anticancer activity with Doxorubicin was also observed. Conclusions : Through a network pharmacological approach, Schizonepeta tenuifolia was predicted to have potential as an anticancer agent, and its efficacy was experimentally demonstrated using A549 cells. These findings suggest that Schizonepeta tenuifolia is a promising candidate for future research.