1. Liu, Zaoqu, Liu, Long, Weng, Siyuan, Sun, Zhenqiang, Han, Xinwei. 2022. Machine learning-based integration develops an immune-derived lncRNA signature for improving outcomes in colorectal cancer. In Nature communications, 13, 816. doi:10.1038/s41467-022-28421-6. https://pubmed.ncbi.nlm.nih.gov/35145098/
2. Prat, Aleix, Navarro, Alejandro, Paré, Laia, Arance, Ana, Felip, Enriqueta. 2017. Immune-Related Gene Expression Profiling After PD-1 Blockade in Non-Small Cell Lung Carcinoma, Head and Neck Squamous Cell Carcinoma, and Melanoma. In Cancer research, 77, 3540-3550. doi:10.1158/0008-5472.CAN-16-3556. https://pubmed.ncbi.nlm.nih.gov/28487385/
3. Kheirolomoom, Azadeh, Kare, Aris J, Ingham, Elizabeth S, Borowsky, Alexander D, Ferrara, Katherine W. 2021. In situ T-cell transfection by anti-CD3-conjugated lipid nanoparticles leads to T-cell activation, migration, and phenotypic shift. In Biomaterials, 281, 121339. doi:10.1016/j.biomaterials.2021.121339. https://pubmed.ncbi.nlm.nih.gov/35078042/
4. Alromaih, Saud, Mfuna-Endam, Leandra, Bosse, Yohan, Filali-Mouhim, Abdelali, Desrosiers, Martin. 2013. CD8A gene polymorphisms predict severity factors in chronic rhinosinusitis. In International forum of allergy & rhinology, 3, 605-11. doi:10.1002/alr.21174. https://pubmed.ncbi.nlm.nih.gov/23640800/
5. Bai, Yan-Ming, Liang, Shuang, Zhou, Bo. 2023. Revealing immune infiltrate characteristics and potential immune-related genes in hepatic fibrosis: based on bioinformatics, transcriptomics and q-PCR experiments. In Frontiers in immunology, 14, 1133543. doi:10.3389/fimmu.2023.1133543. https://pubmed.ncbi.nlm.nih.gov/37122694/
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