• Asian Pacific Journal of Cancer Prevention
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• 제16권4호
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• pp.1391-1395
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• 2015

Breast cancer is one of the most common and letal cancers in all over the world. Since there have been significant improvements in treatment of breast cancer, there is still a big need for alternative approaches. In this study, we aimed to investigate protective role of hydatid disease against breast cancer. Twenty Wistar rats were divided into two groups of 10 rats each Group I (control) and Group II. In Group II intraperitoneal hydatidosis was performed. Then DMBA was applied to mammary tissues of all rats. Immunohistochemistry studies for Ki-67 and S-100 in the tumoral tissue sections of DMBA induced mammary tumor in rats were performed. TUNEL Assay was used to detect apoptotic cells of tumoral tissue. In vivo anticancer activity testing was carried out by preventing the tumorigenesis by DMBA in mammary tissue of rats. The expressions of the Ki-67 and S-100 protein decreased in rats who had Hydatid Disease (HD) (Group II), compared with the control rats (Group I). TUNEL positive cells were higher in rats with HD (Group II), compared with the control rats (Group I). In vivo studies showed that HD prevented the tumorigenesis by DMBA in mammary tissue of rats with 50 percent.In the light of the evidence the present study showed that HD may have chemopreventive effects on DMBA induced breast cancer.

• Asian Pacific Journal of Cancer Prevention
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• 제16권4호
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• pp.1651-1655
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• 2015

UGT1A play important roles in the glucuronidation of a variety of endogenous and exogenous compounds. UGT1A isoforms are expressed tissue specifically. The aim of this study was to examine the relationship between UGT1A3 and UGT1A7 mRNA expression and pancreatic cancer. Paired healthy and tumor tissue samples of 43 patients with pancreatic cancer were included in this study. UGT1A3 and UGT1A7 mRNA expressions were analyzed by real time-PCR. In the result of study, UGT1A3 and UGT1A7 mRNA expressions were significantly higher in tumor tissue than normal tissue of pancreatic cancer patients (p<0.05). In addition, high mRNA expression of UGT1A3 and UGT1A7 was significantly associated with larger tumor size (p<0.05). The data suggested that UGT1A3 and UGT1A7 may play roles in the progression of pancreatic cancer. Consequently, UGT1A3 and UGT1A7 are potential prognostic indicators.

• Molecules and Cells
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• 제43권9호
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• pp.763-773
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• 2020

Recently, tumor microenvironment (TME) and its stromal constituents have provided profound insights into understanding alterations in tumor behavior. After each identification regarding the unique roles of TME compartments, non-malignant stromal cells are found to provide a sufficient tumorigenic niche for cancer cells. Of these TME constituents, adipocytes represent a dynamic population mediating endocrine effects to facilitate the crosstalk between cancer cells and distant organs, as well as the interplay with nearby tumor cells. To date, the prevalence of obesity has emphasized the significance of metabolic homeostasis along with adipose tissue (AT) inflammation, cancer incidence, and multiple pathological disorders. In this review, we summarized distinct characteristics of hypertrophic adipocytes and cancer to highlight the importance of an individual's metabolic health during cancer therapy. As AT undergoes inflammatory alterations inducing tissue remodeling, immune cell infiltration, and vascularization, these features directly influence the TME by favoring tumor progression. A comparison between inflammatory AT and progressing cancer could potentially provide crucial insights into delineating the complex communication network between uncontrolled hyperplastic tumors and their microenvironmental components. In turn, the comparison will unravel the underlying properties of dynamic tumor behavior, advocating possible therapeutic targets within TME constituents.

• 한국융합학회논문지
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• 제10권8호
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• pp.59-65
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• 2019

암 조직에는 다양한 형태의 세포가 존재하지만, 이들의 조성을 실험적으로 확인하기는 매우 어렵다. 본 연구에서는 유전자 발현 데이터에 통계적 기계학습 모델을 적용하여 각 샘플의 세포 조성을 추론하고, 이러한 세포 조성이 암조직과 정상 조직간에 차이가 있는지를 확인하였다. 두 가지 서로 다른 회귀 모델을 이용하여 세포 조성을 예측한 결과 CD8 T cell과 Neutrophil이 구강암 조직에서 정상 조직에 비해 증가함을 확인할 수 있었다. 또한 비지도학습 중 하나인 t-SNE를 적용하여, 유추된 세포 조성에 의해 정상 조직과 구강암 조직이 서로 군집을 이루고 있음을 확인하였고, 지도 학습 기반의 다양한 분류 알고리즘들을 이용하여 세포 조성 정보를 이용하여 구강암과 정상 조직을 예측하는 것이 가능함을 보였다. 이 연구는 구강암의 면역 세포 침투에 대한 이해도를 증진하는데에 도움을 줄 수 있을 것이다.

• International Journal of Advanced Culture Technology
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• 제6권4호
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• pp.275-283
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• 2018

Cancer show distinct pattern of gene expression when it is compared to normal. This difference results malignant characteristic of cancer. Many cancer drugs are targeting this difference so that it can selectively kill cancer cells. One of the recent demand for personalized treating cancer is retrieving normal tissue from a patient so that the gene expression difference between cancer and normal be assessed. However, in most clinical situation it is hard to retrieve normal tissue from a patient. This is because biopsy of normal tissues may cause damage to the organ function or a risk of infection or side effect what a patient to take. Thus, there is a challenge to estimate normal cell's gene expression where cancers are originated from without taking additional biopsy. In this paper, we propose in-silico based prediction of normal cell's gene expression from gene expression data of a tumor sample. We call this challenge as reverting the cancer into normal. We divided this challenge into two parts. The first part is making a generator that is able to fool a pretrained discriminator. Pretrained discriminator is from the training of public data (9,601 cancers, 7,240 normals) which shows 0.997 of accuracy to discriminate if a given gene expression pattern is cancer or normal. Deceiving this pretrained discriminator means our method is capable of generating very normal-like gene expression data. The second part of the challenge is to address whether generated normal is similar to true reverse form of the input cancer data. We used, cycle-consistent adversarial networks to approach our challenges, since this network is capable of translating one domain to the other while maintaining original domain's feature and at the same time adding the new domain's feature. We evaluated that, if we put cancer data into a cycle-consistent adversarial network, it could retain most of the information from the input (cancer) and at the same time change the data into normal. We also evaluated if this generated gene expression of normal tissue would be the biological reverse form of the gene expression of cancer used as an input.

• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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• pp.140.1-140.1
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• 2003

Permanent cell culture lines derived from human cancer tissue are important experimental models in the study of human cancer cell proliferation. The in vitro effects of C. militaris and its extracted fractions on the human breast cancer (SK-BR3), liver cancer (SK-Hep1, HepG2), kidney cancer (p15), lymphoma (Jurkat) were studied. F1 (CCCA, crude cordycepin containing adenosine), F2 (ethanol precipitation), F3 (ethanol soluble supernatant) and F4 (fraction of through SK-1B) significantly stimulated in vitro cytotoxic in human cancer cell lines. (omitted)

• Journal of Digestive Cancer Research
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• 제3권1호
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• pp.5-10
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• 2015

With advances in the understanding of the biology and genetics of colorectal cancer (CRC), diagnostic biomarkers that may predict the existence or future presence of cancer or a hereditary condition, and prognostic and treatment biomarkers that may direct the approach to therapy have been developed. Biomarkers can be ascertained and assayed from any tissue that may demonstrate the diagnostic or prognostic value, including from blood cells, epithelial cells via buccal swab, fresh or archival cancer tissue, as well as from cells shed into fecal material. For CRC, current examples of biomarkers for screening and surveillance include germline testing for suspected hereditary CRC syndromes, and stool DNA tests for screening average at-risk patients. Molecular biomarkers for CRC that may alter patient care and treatment include the presence or absence of microsatellite instability, the presence or absence of mutant KRAS, BRAF or PIK3CA, and the level of expression of 15-PGDH in the colorectal mucosa. Molecularly targeted therapies and some general therapeutic approaches rely on biomarker information. Additional novel biomarkers are on the horizon that will undoubtedly further the approach to precision or individualized medicine.

• Asian Pacific Journal of Cancer Prevention
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• 제14권6호
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• pp.3897-3901
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• 2013

Background: Optimal treatment for prostate cancer remains a challenge worldwide. Recently, T cell immunoglobulin mucin-3 (TIM-3) has been implicated in tumor biology but its contribution prostate cancer remains unclear. The aim of this study was to investigate the role of TIM-3 as a prognostic marker in patients with prostate cancer. Methods: TIM-3 protein expression was determined by immunohistochemistry and Western blotting in 137 prostate cancer tumor samples and paired adjacent benign tissue. We also performed cell proliferation assays using 3-(4,5-dimethylthiazol-2yl)-2,5-diphenyl- 2H tetrazolium bromide (MTT) and cell invasion assays. The effects of small interfering RNA (siRNA)-mediated knockdown of TIM-3 (TIM-3 siRNA) in two human prostate cancer cell lines were also evaluated. Results: TIM-3 expression was higher in prostate cancer tissue than in the adjacent benign tissue (P<0.001). High TIM-3 expression was an independent predictor of both recurrence-free survival and progression-free survival. TIM-3 protein was expressed in both prostate cancer cell lines and knockdown suppressed their proliferation and invasion capacity. Conclusions: TIM-3 expression is associated with a poor prognosis in prostate cancer. Taken together, our resutlts indicate that TIM-3 is a potential prognostic marker in prostate cancer.

• 한국환경보건학회지
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• 제29권2호
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• pp.29-37
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• 2003

The purpose of this study was to identify the distribution of non-ortho and mono-ortho PCB congeners and homologues in adipose tissues and sera of women with breast cancer. The collected samples were 25 adipose tissues and 33 sera from women with breast cancer. The samples from the control group were 49 adipose tissues and 52 sera. The levels of three non-ortho and eight mono-ortho PCBs identified in adipose tissue and serum samples were determined by GC/MSD and GC/ECD analyses. Non-ortho and mono-ortho PCB congeners were more dominant in the control group than in the case group for serum samples. The Tetra-PCB and the Hexa-, Hepta-PCB were more dominant in tale and control groups, respectively. The level of PCB homologues in normal women was similar to that of the normal human milk samples. However, the levels of PCB homologues from breast cancer patients were almost same the level of sample from environment. As a result of this study, it is suggested that breast cancer could be related to environmental factors such as PCB level in stack gas and soil sample. More extended research should be to verify this result.

• Molecules and Cells
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• 제43권2호
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• pp.121-125
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• 2020

The identification of adult stem cells is challenging because of the heterogeneity and plasticity of stem cells in different organs. Within the same tissue, stem cells may be highly proliferative, or maintained in a quiescent state and only to be activated after tissue damage. Although various stem cell markers have been successfully identified, there is no universal stem cell marker, which is exclusively expressed in all stem cells. Here, we discuss the roles of master developmental regulator RUNX1 in stem cells and the development of a 270 base pair fragment of the Runx1 enhancer (eR1) for use as stem cell marker. Using eR1 to identify stem cells offers a distinct advantage over gene promoters, which might not be expressed exclusively in stem cells. Moreover, RUNX1 has been strongly implicated in various cancer types, such as leukemia, breast, esophageal, prostate, oral, skin, and ovarian cancers-it has been suggested that RUNX1 dysfunction promotes stem cell dysfunction and proliferation. As tissue stem cells are potential candidates for cancer cells-of-origin and cancer stem cells, we will also discuss the use of eR1 to target oncogenic gene manipulations in stem cells and to track subsequent neoplastic changes.