Search Results - "Luo, Lianghua"

A Necroptosis-Related lncRNA-Based Signature to Predict Prognosis and Probe Molecular Characteristics of Stomach Adenocarcinoma by Luo, Lianghua, Li, Leyan, Liu, Li, Feng, Zongfeng, Zeng, Qingwen, Shu, Xufeng, Cao, Yi, Li, Zhengrong

“…As a caspase-independent type of cell death, necroptosis plays a significant role in the initiation, and progression of gastric cancer (GC). Numerous studies…”
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Comparative assessment of the capability of machine learning-based radiomic models for predicting omental metastasis in locally advanced gastric cancer by Wu, Ahao, Luo, Lianghua, Zeng, Qingwen, Wu, Changlei, Shu, Xufeng, Huang, Pang, Wang, Zhonghao, Hu, Tengcheng, Feng, Zongfeng, Tu, Yi, Zhu, Yanyan, Cao, Yi, Li, Zhengrong

“…The study aims to investigate the predictive capability of machine learning algorithms for omental metastasis in locally advanced gastric cancer (LAGC) and to…”
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Development and validation of a CT radiomics and clinical feature model to predict omental metastases for locally advanced gastric cancer by Wu, Ahao, Wu, Changlei, Zeng, Qingwen, Cao, Yi, Shu, Xufeng, Luo, Lianghua, Feng, Zongfeng, Tu, Yi, Jie, Zhigang, Zhu, Yanyan, Zhou, Fuqing, Huang, Ya, Li, Zhengrong

“…“”We employed radiomics and clinical features to develop and validate a preoperative prediction model to estimate the omental metastases status of locally…”
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microRNA-15b-5p encapsulated by M2 macrophage-derived extracellular vesicles promotes gastric cancer metastasis by targeting BRMS1 and suppressing DAPK1 transcription by Cao, Yi, Tu, Yi, Xiong, Jianbo, Tan, Shengxing, Luo, Lianghua, Wu, Ahao, Shu, Xufeng, Jie, Zhigang, Li, Zhengrong

“…Extracellular vesicles (EVs) derived from tumor-associated macrophages are implicated in the progression and metastasis of gastric cancer (GC) via the transfer…”
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Retraction Note: microRNA-15b-5p encapsulated by M2 macrophage-derived extracellular vesicles promotes gastric cancer metastasis by targeting BRMS1 and suppressing DAPK1 transcription by Cao, Yi, Tu, Yi, Xiong, Jianbo, Tan, Shengxing, Luo, Lianghua, Wu, Ahao, Shu, Xufeng, Jie, Zhigang, Li, Zhengrong

“…This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1186/s13046-022-02426-x…”
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Deep learning model for diagnosing early gastric cancer using preoperative computed tomography images by Zeng, Qingwen, Feng, Zongfeng, Zhu, Yanyan, Zhang, Yang, Shu, Xufeng, Wu, Ahao, Luo, Lianghua, Cao, Yi, Xiong, Jianbo, Li, Hong, Zhou, Fuqing, Jie, Zhigang, Tu, Yi, Li, Zhengrong

“…Early gastric cancer (EGC) is defined as a lesion restricted to the mucosa or submucosa, independent of size or evidence of regional lymph node metastases…”
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CT-based radiomic nomogram for preoperative prediction of DNA mismatch repair deficiency in gastric cancer by Zeng, Qingwen, Zhu, Yanyan, Li, Leyan, Feng, Zongfeng, Shu, Xufeng, Wu, Ahao, Luo, Lianghua, Cao, Yi, Tu, Yi, Xiong, Jianbo, Zhou, Fuqing, Li, Zhengrong

“…Background DNA mismatch repair (MMR) deficiency has attracted considerable attention as a predictor of the immunotherapy efficacy of solid tumors, including…”
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Screening of gastric cancer diagnostic biomarkers in the homologous recombination signaling pathway and assessment of their clinical and radiomic correlations by Wu, Ahao, Hu, Tengcheng, Lai, Chao, Zeng, Qingwen, Luo, Lianghua, Shu, Xufeng, Huang, Pan, Wang, Zhonghao, Feng, Zongfeng, Zhu, Yanyan, Cao, Yi, Li, Zhengrong

“…Background Homologous recombination plays a vital role in the occurrence and drug resistance of gastric cancer. This study aimed to screen new gastric cancer…”
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Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer by Feng, Zongfeng, Li, Leyan, Tu, Yi, Shu, Xufeng, Zhang, Yang, Zeng, Qingwen, Luo, Lianghua, Wu, Ahao, Chen, Wenzheng, Cao, Yi, Li, Zhengrong

“…Circular RNAs (circRNAs) have been recently proposed as hub molecules in various diseases, especially in tumours. We found that circRNAs derived from…”
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Development and validation of a predictive model combining clinical, radiomics, and deep transfer learning features for lymph node metastasis in early gastric cancer by Zeng, Qingwen, Li, Hong, Zhu, Yanyan, Feng, Zongfeng, Shu, Xufeng, Wu, Ahao, Luo, Lianghua, Cao, Yi, Tu, Yi, Xiong, Jianbo, Zhou, Fuqing, Li, Zhengrong

“…This study aims to develop and validate a predictive model combining deep transfer learning, radiomics, and clinical features for lymph node metastasis (LNM)…”
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CDC23 knockdown suppresses the proliferation, migration and invasion of liver cancer via the EMT process by Zhang, Yang, Luo, Lianghua, Fu, Chengchao, Hu, Wang, Li, Yong, Xiong, Jianbo

“…Liver cancer (LC) is a malignant tumour that is associated with high mortality rates worldwide. Cell division cycle 23 (CDC23) acts as an oncogene in papillary…”
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Hub gene identification and molecular subtype construction for Helicobacter pylori in gastric cancer via machine learning methods and NMF algorithm by Luo, Lianghua, Wu, Ahao, Shu, Xufeng, Liu, Li, Feng, Zongfeng, Zeng, Qingwen, Wang, Zhonghao, Hu, Tengcheng, Cao, Yi, Tu, Yi, Li, Zhengrong

“…Helicobacter pylori (HP) is a gram-negative and spiral-shaped bacterium colonizing the human stomach and has been recognized as the risk factor of gastritis,…”
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RETRACTED ARTICLE: microRNA-15b-5p encapsulated by M2 macrophage-derived extracellular vesicles promotes gastric cancer metastasis by targeting BRMS1 and suppressing DAPK1 transcription by Cao, Yi, Tu, Yi, Xiong, Jianbo, Tan, Shengxing, Luo, Lianghua, Wu, Ahao, Shu, Xufeng, Jie, Zhigang, Li, Zhengrong

“…Abstract Background Extracellular vesicles (EVs) derived from tumor-associated macrophages are implicated in the progression and metastasis of gastric cancer…”
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Multiomics characteristics and immunotherapeutic potential of EZH2 in pan-cancer by Luo, Lianghua, Wang, Zhonghao, Hu, Tengcheng, Feng, Zongfeng, Zeng, Qingwen, Shu, Xufeng, Wu, Ahao, Huang, Pan, Cao, Yi, Tu, Yi, Li, Zhengrong

“…Enhancer of zeste homolog 2 (EZH2) is a significant epigenetic regulator that plays a critical role in the development and progression of cancer. However, the…”
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