Article
Immunology
Yufang Hou, Rixin Zhang, Jinbao Zong, Weiqi Wang, Mingxuan Zhou, Zheng Yan, Tiegang Li, Wenqiang Gan, Silin Lv, Zifan Zeng, Min Yang
Summary: In this study, a cancer-immunity cycle-based signature was developed to predict the prognosis and efficacy of immunotherapy for colorectal cancer patients. Low-risk patients showed better prognosis and stronger response to immunotherapy.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Oncology
Yonghui Yuan, Zhong-guo Zhang, Bin Ma, Pengfei Ji, Shiyang Ma, Xun Qi
Summary: We developed an oxygen metabolism-based prognostic risk model for colorectal cancer and investigated the role of oxygen metabolism genes in cancer. A five-gene prognostic model including LRT2, ATP6V0E2, ODC1, SEL1L3, and VDR was established and validated. The risk score determined by the model was an independent prognostic indicator, and the prognostic genes were involved in the transcriptional regulation of MYC and STAT3, as well as downstream cell stress and inflammatory response pathways in colorectal cancer.
FRONTIERS IN ONCOLOGY
(2023)
Article
Endocrinology & Metabolism
Yitai Xiao, Guixiong Zhang, Lizhu Wang, Mingzhu Liang
Summary: In this study, a combined immune and metabolism gene signature was identified for prognosis prediction of CRC using large volume of CRC transcriptional data. Four genes were verified to have superior predictive performance in discriminating the overall survival of high-risk and low-risk groups. The hub gene ESM1 was found to be highly expressed in tumors and could serve as a predictive marker for CRC survival. The findings contribute to individualized treatment and prognosis assessment of CRC patients, as well as the exploration of molecular mechanisms and targeted therapies for CRC.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Immunology
Shiao Tong, Minqi Xia, Yang Xu, Qian Sun, Liguo Ye, Jiayang Cai, Zhang Ye, Daofeng Tian
Summary: This study explores the hub genes of gliomas and their prognostic and diagnostic usefulness. Through analysis of multiple databases, the study identifies 170 DEGs related to gliomas and reveals their involvement in gliogenesis and extracellular matrix. Additionally, the study constructs a prognostic signature and validates its accuracy, and identifies hub genes with potential drug targeting capabilities. The study also finds that RPL39, one of the hub genes, is closely related to the prognosis of glioma patients. Knockdown of RPL39 inhibits the proliferation, migration, polarization, and infiltration of glioma cells. Overall, this study provides potential therapeutic strategies for glioma patients.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Cell Biology
Zezhi Shan, Wen Wu, Xuebing Yan, Yongzhi Yang, Dakui Luo, Qi Liu, Xinxiang Li, Ajay Goel, Yanlei Ma
Summary: The study developed an EMT molecular signature to predict prognosis in colorectal cancer patients and validated its efficacy in two independent external cohorts. The risk scoring system showed the highest correlation with prognosis in CRC patients and was significantly associated with metastasis and clinical stage of CRC.
JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
(2021)
Article
Genetics & Heredity
Xu-tao Lin, Qiu-ning Wu, Si Qin, De-jun Fan, Min-yi Lv, Xi Chen, Jia-wei Cai, Jing-rong Weng, Yi-feng Zou, Yu-ming Rong, Feng Gao
Summary: This study aimed to develop a prognostic autophagy-related gene signature for predicting disease-free survival in early-stage CRC patients, and revealed a potential relationship between autophagy process, immune/inflammatory response, and tumorigenesis.
FRONTIERS IN GENETICS
(2021)
Article
Cell Biology
Zaoqu Liu, Hui Xu, Xiaoyong Ge, Siyuan Weng, Qin Dang, Xinwei Han
Summary: The study developed a novel microsatellite stable-associated signature (MSSAS) and demonstrated its independent prognostic value in non-MSI-H/pMMR CRC patients for overall survival and relapse-free survival, showing stable and accurate predictive performance across multiple cohorts and outperforming other clinical indicators. Clinical validation further supported the robustness and clinical feasibility of MSSAS as a promising biomarker for advancing the management of non-MSI-H/pMMR CRC.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Multidisciplinary Sciences
Qiong Yang, Kewang Sun, Wenjie Xia, Ying Li, Miaochun Zhong, Kefeng Lei
Summary: An eight-gene autophagic signature model was developed in this study to predict the survival risk for triple-negative breast cancer (TNBC) patients, and autophagy genes associated with clinical stage of TNBC were identified.
Article
Genetics & Heredity
Jing Jia, Yuhan Dai, Qing Zhang, Peiyu Tang, Qiang Fu, Guanying Xiong
Summary: This study aimed to construct a multigene prognostic prediction model for colon cancer based on stromal characteristics. The model was developed using data from the TCGA database and validated in two external cohorts, showing promising predictive performance. The established model was demonstrated to be accurate and valuable for the prognostic prediction of colon cancer, especially in young patients.
FRONTIERS IN GENETICS
(2021)
Article
Oncology
Qiankun Zhu, Benqiang Rao, Yongbing Chen, Pingping Jia, Xin Wang, Bingdong Zhang, Lin Wang, Wanni Zhao, Chunlei Hu, Meng Tang, Kaiying Yu, Wei Chen, Lei Pan, Yu Xu, Huayou Luo, Kunhua Wang, Bo Li, Hanping Shi
Summary: This study aimed to identify gene signatures that could predict the prognosis of colon cancer patients. A five-gene signature associated with patient survival was generated and validated in different datasets. The gene signature was found to be related to extracellular matrix organization and had predictive value in overall survival.
AMERICAN JOURNAL OF CANCER RESEARCH
(2023)
Article
Oncology
Qin Dang, Zaoqu Liu, Shengyun Hu, Zhuang Chen, Lingfang Meng, Junhong Hu, Guixian Wang, Weitang Yuan, Xinwei Han, Lifeng Li, Zhenqiang Sun
Summary: Research has identified gene signatures related to redox in colorectal cancer, which have been proven useful for predicting patient risk and prognosis. Additionally, a close association between risk score and tumor immune infiltration was discovered.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Carsten Krieg, Lukas M. Weber, Bruno Fosso, Marinella Marzano, Gary Hardiman, Monica M. Olcina, Enric Domingo, Sahar El Aidy, Khalil Mallah, Mark D. Robinson, Silvia Guglietta
Summary: The dysregulation of complement anaphylatoxin C3a receptor (C3aR) in subsets of patients with CRC affects immune responses, the development of CRC, and response to immune checkpoint blockade therapy. Downregulation of C3ar1 in human CRC promotes a tumor microenvironment characterized by the accumulation of innate and adaptive immune cells supporting antitumor immunity. Lack of C3a in the colon activates a microbiota-mediated proinflammatory program promoting the development of tumors responsive to ICB therapy.
JOURNAL FOR IMMUNOTHERAPY OF CANCER
(2022)
Article
Oncology
Qiankun Zhu, Benqiang Rao, Yongbing Chen, Pingping Jia, Xin Wang, Bingdong Zhang, Lin Wang, Wanni Zhao, Chunlei Hu, Meng Tang, Kaiying Yu, Wei Chen, Lei Pan, Yu Xu, Huayou Luo, Kunhua Wang, Bo Li, Hanping Shi
Summary: This study aimed to identify gene signatures that could predict the prognosis of colon cancer patients. A five-gene signature was identified and found to be associated with patient survival. The functional analysis revealed its association with extracellular matrix organization. The study also demonstrated the effect of the signature genes on the behavior of colon cancer cells.
AMERICAN JOURNAL OF CANCER RESEARCH
(2023)
Article
Cell Biology
Bo Xiao, Liyan Liu, Zhuoyuan Chen, Aoyu Li, Yu Xia, Pingxiao Wang, Cheng Xiang, Yi Zeng, Hui Li
Summary: This study identified a novel prognostic marker based on stem cell-related genes for osteosarcoma patients, independent of other clinical traits. The marker was validated to be significant in predicting survival rate and providing potential therapeutic targets. The research suggests that the expression level of stem cell-related genes could serve as valuable prognostic markers and therapeutic targets for osteosarcoma.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Cell Biology
Yan Li, Yiyi Li, Zijin Xia, Dun Zhang, Xiaomei Chen, Xinyu Wang, Jing Liao, Wei Yi, Jun Chen
Summary: This study utilized gene expression profiles and clinical characteristics to construct an immune-related genes signature for evaluating clinical outcomes and immune features of CRC patients. The research found that CRC patients with low immune risk scores may benefit more from immunotherapy, while those with high risk scores could potentially benefit from specific drug treatments.