1. Gaufichon, Laure, Rothstein, Steven J, Suzuki, Akira. 2015. Asparagine Metabolic Pathways in Arabidopsis. In Plant & cell physiology, 57, 675-89. doi:10.1093/pcp/pcv184. https://pubmed.ncbi.nlm.nih.gov/26628609/
2. Ge, Song, Xu, Chen-Rui, Li, Yan-Ming, Ding, Liang, Niu, Jian. 2022. Identification of the Diagnostic Biomarker VIPR1 in Hepatocellular Carcinoma Based on Machine Learning Algorithm. In Journal of oncology, 2022, 2469592. doi:10.1155/2022/2469592. https://pubmed.ncbi.nlm.nih.gov/36157238/
3. Ren, Yangzi, He, Shangwen, Feng, Siyang, Yang, Wei. 2022. A Prognostic Model for Colon Adenocarcinoma Patients Based on Ten Amino Acid Metabolism Related Genes. In Frontiers in public health, 10, 916364. doi:10.3389/fpubh.2022.916364. https://pubmed.ncbi.nlm.nih.gov/35712285/
4. Kim, Tae-Jung, Lee, Ji Youl, Hwang, Tae-Kon, Kang, Chang Suk, Choi, Yeong-Jin. 2011. Hedgehog signaling protein expression and its association with prognostic parameters in prostate cancer: a retrospective study from the view point of new 2010 anatomic stage/prognostic groups. In Journal of surgical oncology, 104, 472-9. doi:10.1002/jso.21988. https://pubmed.ncbi.nlm.nih.gov/21656527/
5. Yin, Wen, Ao, Yanting, Jia, Qian, Lü, Muhan, Yu, Zehui. 2025. Integrated singlecell and bulk RNA-seq analysis identifies a prognostic signature related to inflammation in colorectal cancer. In Scientific reports, 15, 874. doi:10.1038/s41598-024-84998-6. https://pubmed.ncbi.nlm.nih.gov/39757274/