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376 results on '"Ma, Yanlei"'

102. ACF7 regulates inflammatory colitis and intestinal wound response by orchestrating tight junction dynamics

Author

Ma, Yanlei, primary, Yue, Jiping, additional, Zhang, Yao, additional, Shi, Chenzhang, additional, Odenwald, Matt, additional, Liang, Wenguang G., additional, Wei, Qing, additional, Goel, Ajay, additional, Gou, Xuewen, additional, Zhang, Jamie, additional, Chen, Shao-Yu, additional, Tang, Wei-Jen, additional, Turner, Jerrold R., additional, Yang, Feng, additional, Liang, Hong, additional, Qin, Huanlong, additional, and Wu, Xiaoyang, additional

Published
2017
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103. Fusobacterium nucleatum Increases Proliferation of Colorectal Cancer Cells and Tumor Development in Mice by Activating Toll-Like Receptor 4 Signaling to Nuclear Factor−κB, and Up-regulating Expression of MicroRNA-21

Author

Yang, Yongzhi, primary, Weng, Wenhao, additional, Peng, Junjie, additional, Hong, Leiming, additional, Yang, Lei, additional, Toiyama, Yuji, additional, Gao, Renyuan, additional, Liu, Minfeng, additional, Yin, Mingming, additional, Pan, Cheng, additional, Li, Hao, additional, Guo, Bomin, additional, Zhu, Qingchao, additional, Wei, Qing, additional, Moyer, Mary-Pat, additional, Wang, Ping, additional, Cai, Sanjun, additional, Goel, Ajay, additional, Qin, Huanlong, additional, and Ma, Yanlei, additional

Published
2017
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108. The effect of perioperative probiotics treatment for colorectal cancer: short-term outcomes of a randomized controlled trial

Author

Yang, Yongzhi, primary, Xia, Yang, additional, Chen, Hongqi, additional, Hong, Leiming, additional, Feng, Junlan, additional, Yang, Jun, additional, Yang, Zhe, additional, Shi, Chenzhang, additional, Wu, Wen, additional, Gao, Renyuan, additional, Wei, Qing, additional, Qin, Huanlong, additional, and Ma, Yanlei, additional

Published
2016
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110. Novel evidence for an oncogenic role of microRNA-21 in colitis-associated colorectal cancer

Author

Shi, Chenzhang, primary, Yang, Yongzhi, additional, Xia, Yang, additional, Okugawa, Yoshinaga, additional, Yang, Jun, additional, Liang, Yong, additional, Chen, Hongqi, additional, Zhang, Peng, additional, Wang, Feng, additional, Han, Huazhong, additional, Wu, Wen, additional, Gao, Renyuan, additional, Gasche, Christoph, additional, Qin, Huanlong, additional, Ma, Yanlei, additional, and Goel, Ajay, additional

Published
2015
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114. Overexpression of miR-21 in patients with ulcerative colitis impairs intestinal epithelial barrier function through targeting the Rho GTPase RhoB

Author

Yang, Yongzhi, primary, Ma, Yanlei, additional, Shi, Chenzhang, additional, Chen, Hongqi, additional, Zhang, Huizhen, additional, Chen, Niwei, additional, Zhang, Peng, additional, Wang, Feng, additional, Yang, Jun, additional, Yang, Jianjun, additional, Zhu, Qingchao, additional, Liang, Yong, additional, Wu, Wen, additional, Gao, Renyuan, additional, Yang, Zhe, additional, Zou, Yang, additional, and Qin, Huanlong, additional

Published
2013
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128. Laparoscopy or not

Author

Liu, Zhihua, primary, Zhang, Peng, additional, Ma, Yanlei, additional, Chen, Hongqi, additional, Zhou, Yukun, additional, Zhang, Ming, additional, Chu, Zhaoxin, additional, and Qin, Huanglong, additional

Published
2010
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147. Improved diagnostic efficiency of CRC subgroups revealed using machine learning based on intestinal microbes.

Author

Liu, Guang, Su, Lili, Kong, Cheng, Huang, Liang, Zhu, Xiaoyan, Zhang, Xuanping, Ma, Yanlei, and Wang, Jiayin

Abstract

Background: Colorectal cancer (CRC) is a common cancer that causes millions of deaths worldwide each year. At present, numerous studies have confirmed that intestinal microbes play a crucial role in the process of CRC. Additionally, studies have shown that CRC can be divided into several consensus molecular subtypes (CMS) based on tumor gene expression, and CRC microbiomes have been reported related to CMS. However, most previous studies on intestinal microbiome of CRC have only compared patients with healthy controls, without classifying of CRC patients based on intestinal microbial composition. Results: In this study, a CRC cohort including 339 CRC samples and 333 healthy controls was selected as the discovery set, and the CRC samples were divided into two subgroups (234 Subgroup1 and 105 Subgroup2) using PAM clustering algorithm based on the intestinal microbial composition. We found that not only the microbial diversity was significantly different (Shannon index, p-value < 0.05), but also 129 shared genera altered (p-value < 0.05) between the two CRC subgroups, including several marker genera in CRC, such as Fusobacterium and Bacteroides. A random forest algorithm was used to construct diagnostic models, which showed significantly higher efficiency when the CRC samples were divided into subgroups. Then an independent cohort including 187 CRC samples (divided into 153 Subgroup1 and 34 Subgroup2) and 123 healthy controls was chosen to validate the models, and confirmed the results. Conclusions: These results indicate that the divided CRC subgroups can improve the efficiency of disease diagnosis, with various microbial composition in the subgroups. [ABSTRACT FROM AUTHOR]

Published
2024
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149. Fusobacterium nucleatum promotes chemoresistance to 5-fluorouracil by upregulation of BIRC3 expression in colorectal cancer.

Author

Zhang, Sheng, Yang, Yongzhi, Cai, Guoxiang, Ma, Yanlei, Cai, Sanjun, Weng, Wenhao, and Guo, Bomin

Subjects
COLORECTAL cancer, FUSOBACTERIUM, FLUOROURACIL, ADJUVANT treatment of cancer, PROTEIN expression, GUT microbiome
Abstract

Background: Emerging evidence suggests a potential relationship between gut microbiota and the host response to chemotherapeutic drugs including 5-fluorouracil (5-Fu). Fusobacterium nucleatum (Fn) has been linked to the initiation and progression of colorectal cancer (CRC). Unfortunately, little was known about the relationship between Fn infection and chemotherapeutic efficacy. Here, we investigate the potential relationship between Fn infection and chemotherapeutic efficacy of 5-Fu in CRC. Methods: Differentially expressed genes of CRC cell lines induced by Fn infection were analyzed based on a whole genome microarray analysis Then, we explored the relationship between upregulation of BIRC3 induced by Fn infection and chemoresistance to 5-Fu in vitro and in vivo. Furthermore, we dissected the mechanisms involved in Fn-induced BIRC3 expression. Finally, we investigated the clinical relevance of Fn infection, BIRC3 protein expression and chemoresistance to 5-Fu treatment in CRC patients. Results: BIRC3 was the most upregulated gene induced by Fn infection via the TLR4/NF-κB pathway in CRC cells; Fn infection reduced the chemosensitivity of CRC cells to 5-Fu through upregulation of BIRC3 in vitro and in vivo. High Fn abundance correlated with chemoresistance in advanced CRC patients who received standard 5-Fu-based adjuvant chemotherapy after radical surgery. Conclusions: Our evidence suggests that Fn and BIRC3 may serve as promising therapeutic targets for reducing chemoresistance to 5-Fu treatment in advanced CRC. [ABSTRACT FROM AUTHOR]

Published
2019
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