SDCBP2,也称为Syntenin-2或SITAC18,是一种重要的细胞内蛋白质。它属于syntenin家族,该家族在细胞内信号传导、细胞骨架组织和细胞膜动态中发挥重要作用。SDCBP2与细胞膜相关,并通过其PDZ结构域与多种蛋白质相互作用,参与调节细胞内信号传导途径。此外,SDCBP2在细胞骨架组织中也发挥着关键作用,可以与细胞骨架蛋白相互作用,参与调节细胞形态和细胞运动。
SDCBP2在多种疾病中发挥着重要作用,包括急性髓系白血病(AML)、胃癌、卵巢癌、肺癌和甲状腺癌等。在AML中,SDCBP2的表达与E2A转录因子的表达相关,抑制SDCBP2的表达可以抑制AML细胞的增殖和促进其分化[1]。在胃癌中,SDCBP2-AS1(SDCBP2的反义RNA)通过调节hnRNP K的泛素化和SUMO化,抑制β-catenin的降解,从而抑制胃癌的发生和转移[2]。在卵巢癌中,SDCBP2-AS1通过吸附miR-100-5p并调节EPDR1的表达,抑制卵巢癌的进展[3]。在肺癌中,SDCBP2-AS1通过吸附miR-656-3p并调节CRIM1的表达,促进肺癌细胞的铁死亡[4]。在甲状腺癌中,SDCBP2-AS1的表达下调与较长的无病生存时间相关[7]。
此外,SDCBP2的表达与疾病严重程度也有关。在新冠肺炎(COVID-19)中,SDCBP2的表达与COVID-19的严重程度相关,是预测COVID-19严重程度的重要指标[6]。在结直肠癌中,SDCBP2的表达与肿瘤分级和预后相关,是结直肠癌预后的不良指标[5]。
SDCBP2在多种生物学过程中发挥着重要作用,包括细胞信号传导、细胞骨架组织和细胞膜动态等。SDCBP2在多种疾病中发挥着重要作用,包括AML、胃癌、卵巢癌、肺癌和甲状腺癌等。此外,SDCBP2的表达与疾病严重程度也有关,是预测疾病严重程度的重要指标。SDCBP2的研究有助于深入理解其在细胞生物学和疾病发生中的作用机制,为疾病的治疗和预防提供新的思路和策略。
参考文献:
1. Du, Yan, Li, Lan-Lan, Chen, Feihu, Du, Yan. 2023. Targeting SDCBP2 in acute myeloid leukemia. In Cellular signalling, 112, 110889. doi:10.1016/j.cellsig.2023.110889. https://pubmed.ncbi.nlm.nih.gov/37714445/
2. Han, Jing, Nie, Menglin, Chen, Cong, Xing, Xiaofang, Ji, Jiafu. 2022. SDCBP-AS1 destabilizes β-catenin by regulating ubiquitination and SUMOylation of hnRNP K to suppress gastric tumorigenicity and metastasis. In Cancer communications (London, England), 42, 1141-1161. doi:10.1002/cac2.12367. https://pubmed.ncbi.nlm.nih.gov/36209503/
3. Liu, Xiu, Liu, Chanyuan, Zhang, Aijun, Li, Qunying, Xiao, Jinlei. 2021. Long non-coding RNA SDCBP2-AS1 delays the progression of ovarian cancer via microRNA-100-5p-targeted EPDR1. In World journal of surgical oncology, 19, 199. doi:10.1186/s12957-021-02295-2. https://pubmed.ncbi.nlm.nih.gov/34218800/
4. Dai, Ninghuang, Ma, Haitao, Feng, Yu. 2023. Silencing of long non-coding RNA SDCBP2-AS1/microRNA-656-3p/CRIM1 axis promotes ferroptosis of lung cancer cells. In Cellular and molecular biology (Noisy-le-Grand, France), 69, 189-194. doi:10.14715/cmb/2023.69.9.29. https://pubmed.ncbi.nlm.nih.gov/37807311/
5. Eisenach, P A, Soeth, E, Röder, C, Kalthoff, H, Sipos, B. 2013. Dipeptidase 1 (DPEP1) is a marker for the transition from low-grade to high-grade intraepithelial neoplasia and an adverse prognostic factor in colorectal cancer. In British journal of cancer, 109, 694-703. doi:10.1038/bjc.2013.363. https://pubmed.ncbi.nlm.nih.gov/23839495/
6. Sethi, Sahil, Shakyawar, Sushil, Reddy, Athreya S, Patel, Jai Chand, Guda, Chittibabu. 2024. A Machine Learning Model for the Prediction of COVID-19 Severity Using RNA-Seq, Clinical, and Co-Morbidity Data. In Diagnostics (Basel, Switzerland), 14, . doi:10.3390/diagnostics14121284. https://pubmed.ncbi.nlm.nih.gov/38928699/
7. Rao, Yuansheng, Liu, Haiying, Yan, Xiaojuan, Wang, Jianhong. 2020. In Silico Analysis Identifies Differently Expressed lncRNAs as Novel Biomarkers for the Prognosis of Thyroid Cancer. In Computational and mathematical methods in medicine, 2020, 3651051. doi:10.1155/2020/3651051. https://pubmed.ncbi.nlm.nih.gov/32377223/