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Your search keyword '"Tian, Geng"' showing total 15 results
Start Over Author "Tian, Geng" Journal frontiers in oncology
15 results on '"Tian, Geng"'

1. Molecular characterization of colorectal adenoma and colorectal cancer via integrated genomic transcriptomic analysis

Author

Pan, Peng, primary, Li, Jingnan, additional, Wang, Bo, additional, Tan, Xiaoyan, additional, Yin, Hekun, additional, Han, Yingmin, additional, Wang, Haobin, additional, Shi, Xiaoli, additional, Li, Xiaoshuang, additional, Xie, Cuinan, additional, Chen, Longfei, additional, Chen, Lanyou, additional, Bai, Yu, additional, Li, Zhaoshen, additional, and Tian, Geng, additional

Published
2023
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2. Tumor Suppressor miR-184 Enhances Chemosensitivity by Directly Inhibiting SLC7A5 in Retinoblastoma

Author

Tian-Geng He, Zi-Yun Xiao, Yi-Qiao Xing, Hua-Jing Yang, Hong Qiu, and Jian-Bin Chen

Subjects
miR-184, SLC7A5, apoptosis, cell cycle, chemosensitivity, retinoblastoma, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

The expression patterns and functional roles of miRNAs in retinoblastoma (RB) are poorly understood, especially those involved in chemoresistance. Here, we validated the expression pattern of 20 potential RB-suppressive miRNAs and confirmed that miR-184 is the most significantly decreased miRNA in human RB tissues, as well as chemoresistant cell line. Bioinformatic and molecular analyses revealed that SLC7A5 has three binding sites of miR-184 and significantly increased in RB tissues. miR-184 negatively correlated with SLC7A5 expression in RB tissues and mainly target position 2494-2513 of the SLC7A5 3′UTR to inhibit its expression. Furthermore, enforced expression of miR-184 reversed the oncogenic roles of SLC7A5 on proliferation, migration, and invasion of RB cells. In addition, miR-184 also enhances chemosensitivity of RB cells via inducing apoptosis and G2/M cell cycle arrest. Molecular studies revealed that miR-184-decreased phosphorylation status of known DNA damage repair sensors of the ATR/ATM pathways and induced persistent formation of γH2AX foci depend on targeting SLC7A5, leading to persistent DNA damage. Thus, targeting the miR-184/SLC7A5 pathway will provide new opportunities for drug development to reverse chemotherapeutic resistance in RB.

Published
2019
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6. Predicting Tumor Mutational Burden From Lung Adenocarcinoma Histopathological Images Using Deep Learning

Author

Niu, Yi, Wang, Lixia, Zhang, Xiaojie, Han, Yu, Yang, Chunjie, Bai, Henan, Huang, Kaimei, Ren, Changjing, Tian, Geng, Yin, Shengjie, Zhao, Yan, Wang, Ying, Shi, Xiaoli, and Zhang, Minghui

Subjects
Cancer Research, Oncology
Abstract

Tumor mutation burden (TMB) is an important biomarker for tumor immunotherapy. It plays an important role in the clinical treatment process, but the gold standard measurement of TMB is based on whole exome sequencing (WES). WES cannot be done in most hospitals due to its high cost, long turnaround times and operational complexity. To seek out a better method to evaluate TMB, we divided the patients with lung adenocarcinoma (LUAD) in TCGA into two groups according to the TMB value, then analyzed the differences of clinical characteristics and gene expression between the two groups. We further explored the possibility of using histopathological images to predict TMB status, and developed a deep learning model to predict TMB based on histopathological images of LUAD. In the 5-fold cross-validation, the area under the receiver operating characteristic (ROC) curve (AUC) of the model was 0.64. This study showed that it is possible to use deep learning to predict genomic features from histopathological images, though the prediction accuracy was relatively low. The study opens up a new way to explore the relationship between genes and phenotypes.

Published
2022

11. Evaluating the Risk of Breast Cancer Recurrence and Metastasis After Adjuvant Tamoxifen Therapy by Integrating Polymorphisms in Cytochrome P450 Genes and Clinicopathological Characteristics

Author

Pang, Hui, primary, Zhang, Guoqiang, additional, Yan, Na, additional, Lang, Jidong, additional, Liang, Yuebin, additional, Xu, Xinyuan, additional, Cui, Yaowen, additional, Wu, Xueya, additional, Li, Xianjun, additional, Shan, Ming, additional, Wang, Xiaoqin, additional, Meng, Xiangzhi, additional, Liu, Jiaxiang, additional, Tian, Geng, additional, Cai, Li, additional, Yuan, Dawei, additional, and Wang, Xin, additional

Published
2021
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