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Cited by in CrossRef
For: Qiu Y, Wang HT, Zheng XF, Huang X, Meng JZ, Huang JP, Wen ZP, Yao J. Autophagy-related long non-coding RNA prognostic model predicts prognosis and survival of melanoma patients. World J Clin Cases 2022; 10(11): 3334-3351 [PMID: 35611195 DOI: 10.12998/wjcc.v10.i11.3334]
URL: https://www.wjgnet.com/2307-8960/full/v10/i11/3334.htm
Number Citing Articles
1
Yanling Wu, Lei Liang, Qin Li, Lilu Shu, Peter Wang, Shufeng Huang. The role of pyroptosis-related lncRNA risk signature in ovarian cancer prognosis and immune systemDiscover Oncology 2023; 14(1) doi: 10.1007/s12672-023-00767-3
2
Rebecca Distefano, Mirolyuba Ilieva, Jens Hedelund Madsen, Hideshi Ishii, Masanori Aikawa, Sarah Rennie, Shizuka Uchida. T2DB: A Web Database for Long Non-Coding RNA Genes in Type II DiabetesNon-Coding RNA 2023; 9(3): 30 doi: 10.3390/ncrna9030030
3
Yuyao Liu, Haoxue Zhang, Delin Hu, Shengxiu Liu. New algorithms based on autophagy-related lncRNAs pairs to predict the prognosis of skin cutaneous melanoma patientsArchives of Dermatological Research 2023; 315(6): 1511 doi: 10.1007/s00403-022-02522-0
4
Nicole Natarelli, Aleena Boby, Shaliz Aflatooni, Jasmine Thuy Tran, Michael Joseph Diaz, Kamil Taneja, Mahtab Forouzandeh. Regulatory miRNAs and lncRNAs in Skin Cancer: A Narrative ReviewLife 2023; 13(8): 1696 doi: 10.3390/life13081696
5
Soudeh Ghafouri-Fard, Arash Safarzadeh, Bashdar Mahmud Hussen, Mohammad Taheri, Fariborz Rashnoo. A concise review on the role of LINC00324 in different cancersPathology - Research and Practice 2022; 240: 154192 doi: 10.1016/j.prp.2022.154192
6
Zhiwei Cui, Zhen Liang, Binyu Song, Yuhan Zhu, Guo Chen, Yanan Gu, Baoyan Liang, Jungang Ma, Baoqiang Song. Machine learning-based signature of necrosis-associated lncRNAs for prognostic and immunotherapy response prediction in cutaneous melanoma and tumor immune landscape characterizationFrontiers in Endocrinology 2023; 14 doi: 10.3389/fendo.2023.1180732
7
Tiange Lv, Haocong Zhang. Mitophagy-related gene signature for predicting the prognosis of multiple myelomaHeliyon 2024; 10(3): e24520 doi: 10.1016/j.heliyon.2024.e24520