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Cited by in CrossRef
For: Peng Q, Hao LY, Guo YL, Zhang ZQ, Ji JM, Xue Y, Liu YW, Lu JL, Li CG, Shi XL. Solute carrier family 2 members 1 and 2 as prognostic biomarkers in hepatocellular carcinoma associated with immune infiltration. World J Clin Cases 2022; 10(13): 3989-4019 [PMID: 35665115 DOI: 10.12998/wjcc.v10.i13.3989]
URL: https://www.wjgnet.com/2307-8960/full/v10/i13/3989.htm
Number Citing Articles
1
Huangqin Song, Xiaoxiao Wang, Chao Zhang, Jiefeng He. Construction of an M2 macrophage-related prognostic model in hepatocellular carcinomaFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1170775
2
Xiao-Yong Han, Xiong Li, Rang-Yin Zhao, Hai-Zhong Ma, Miao Yu, Xiang-Dong Niu, Hao-Jie Jin, Yong-Feng Wang, De-Ming Liu, Hui Cai. Comprehensive analysis of prognostic value and immunotherapy prospect of brain cytoplasmic RNA1 in hepatocellular carcinomaWorld Journal of Gastrointestinal Oncology 2023; 15(4): 644-664 doi: 10.4251/wjgo.v15.i4.644
3
Yating Liu, Xinyu Li, Jie Yang, Shanshan Chen, Changyu Zhu, Yijun Shi, Shoutao Dang, Weitao Zhang, Wei Li. Pan-cancer analysis of SLC2A family genes as prognostic biomarkers and therapeutic targetsHeliyon 2024; 10(8): e29655 doi: 10.1016/j.heliyon.2024.e29655
4
Ravi Bharadwaj, Swati Jaiswal, Erandi E. Velarde de la Cruz, Ritesh P. Thakare. Targeting Solute Carrier Transporters (SLCs) as a Therapeutic Target in Different CancersDiseases 2024; 12(3): 63 doi: 10.3390/diseases12030063
5
Jiwei Qi, Huijuan Pan, Xiaochen Wang, Zhongya Xuan, Xiaofu Pan, Xuanzhao Li, Ying Shen, Jian Yang, Jie Zhang, Ming Li. Genomic insights into the postintroduction failure of the Asian icefish Protosalanx chinensis in ChinaMolecular Ecology 2023; 32(14): 3942 doi: 10.1111/mec.16979
6
Jia Li, Hao Qiao, Fei Wu, Shiyu Sun, Cong Feng, Chaofan Li, Wanjun Yan, Wei Lv, Huizi Wu, Mengjie Liu, Xi Chen, Xuan Liu, Weiwei Wang, Yifan Cai, Yu Zhang, Zhangjian Zhou, Yinbin Zhang, Shuqun Zhang. A novel hypoxia- and lactate metabolism-related signature to predict prognosis and immunotherapy responses for breast cancer by integrating machine learning and bioinformatic analysesFrontiers in Immunology 2022; 13 doi: 10.3389/fimmu.2022.998140