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- 저자 : Yao Xinyi (검색결과 3 건)
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Zhang, Xinyi Cindy,Xu, Chang,Mitchell, Ryan M,Zhang, Bo,Zhao, Derek,Li, Yao,Huang, Xin,Fan, Wenhong,Wang, Hongwei,Lerma, Luisa Angelica,Upton, Melissa P,Hay, Ashley,M?ndez, Eduardo,Zhao, Lue Ping Stockton Press 2013 Neoplasia Vol.15 No.12
<P>Head and neck squamous cell carcinoma (HNSCC) is characterized by significant genomic instability that could lead to clonal diversity. Intratumor clonal heterogeneity has been proposed as a major attribute underlying tumor evolution, progression, and resistance to chemotherapy and radiation. Understanding genetic heterogeneity could lead to treatments specific to resistant and metastatic tumor cells. To characterize the degree of intratumor genetic heterogeneity within a single tumor, we performed whole-genome sequencing on three separate regions of an human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma and two separate regions from one corresponding cervical lymph node metastasis. This approach achieved coverage of approximately 97.9% of the genome across all samples. In total, 5701 somatic point mutations (SPMs) and 4347 small somatic insertions and deletions (indels)were detected in at least one sample. Ninety-two percent of SPMs and 77% of indels were validated in a second set of samples adjacent to the discovery set. All five tumor samples shared 41% of SPMs, 57% of the 1805 genes with SPMs, and 34 of 55 cancer genes. The distribution of SPMs allowed phylogenetic reconstruction of this tumor's evolutionary pathway and showed that the metastatic samples arose as a late event. The degree of intratumor heterogeneity showed that a single biopsy may not represent the entire mutational landscape of HNSCC tumors. This approach may be used to further characterize intratumor heterogeneity in more patients, and their sample-to-sample variations could reveal the evolutionary process of cancer cells, facilitate our understanding of tumorigenesis, and enable the development of novel targeted therapies.</P>
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Zhao Jie,He Shaolong,Xiang Chenhuan,Zhang Shaoli,Chen Xinyue,Lu Xinyi,Yao Qiong,Yang Liping,Ma Liangming,Tian Weiwei 대한독성 유전단백체 학회 2023 Molecular & cellular toxicology Vol.19 No.3
Background T -cell acute lymphoblastic leukemia (T-ALL) is considered a malignant tumor with a high mortality rate. To combat this disease, exploring the mechanism of T-ALL progression is urgently needed. Krüppel-like factors (KLFs) are known as the transcription factors and mediate series of biological processes. KLF9 is a member of the KLF family which could serve as a tumor suppressor gene in most solid tumors. GEO Database analysis showed that KLF9 expression in normal T cells was higher than T-ALL cell lines and patients. However, the possible role of KLF9 in T-ALL progression is still unclear. Objective To uncover the possible eff ects of Krüppel-like transcription factor 9 (KLF9) on the progression of T-Acute lymphoblastic leukemia (T-ALL). Results The expression of KLF9 was low in human T-ALL cells. KLF9 suppressed the viability of T-ALL cells. In addition, KLF9 stimulated the apoptosis as well as autophagy of T-ALL cells. Mechanically, KLF9 suppressed AKT/mTOR pathway in T-ALL cells. Conclusion KLF9 suppressed viability and promoted autophagy as well as apoptosis in T-ALL cells by inhibiting AKT/ mTOR pathway.
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Fang Ting,Liu Suyi,Chen Liying,Ren Yating,Lu Dingqi,Yao Xinyi,Hong Tao,Zhang Xvfeng,Xie Zhimin,Yang Kepeng,Wang Xinchang 한국유전학회 2023 Genes & Genomics Vol.45 No.9
Background As a multisystemic autoimmune illness, the basic mechanisms behind the pathophysiology of systemic lupus erythematosus (SLE) remain poorly understood. Objective We aimed to investigate the possible significance of SLE’s DNA methylation and gain further insight into potential SLE-related biomarkers and therapeutic targets. Methods We used whole genome bisulfite sequencing (WGBS) method to analyze DNA methylation in 4 SLE patients and 4 healthy people. Results 702 differentially methylated regions (DMRs) were identified, and 480 DMR-associated genes were annotated. We found the majority of the DMR-associated elements were enriched in repeat and gene bodies. The top 10 hub genes identified were LCK, FYB, PTK2B, LYN, CTNNB1, MAPK1, GNAQ, PRKCA, ABL1, and CD247. Compared to the control group, LCK and PTK2B had considerably decreased levels of mRNA expression in the SLE group. Receiver operating characteristic (ROC) curve suggested that LCK and PTK2B may be potential candidate biomarkers to predict SLE. Conclusions Our study improved comprehension of the DNA methylation patterns of SLE and identified potential biomarkers and therapeutic targets for SLE.
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