Zhuzhou Central Hospital, Zhuzhou, 412007 Hunan, China.
Department of Ultrasound, Zhuzhou Central Hospital, Zhuzhou, 412007 Hunan, China.
Biomed Res Int. 2023 Apr 14;2023:2620738. doi: 10.1155/2023/2620738. eCollection 2023.
Breast cancer is a highly harmful malignant tumor, which poses a great threat to women's body and mind, and the mortality rate ranks second among all women's diseases. The incidence rate accounts for 7-10% of various malignant tumors in the whole body, second only to uterine cancer in women, and has become the main cause of threatening women's health. Advanced breast cancer is often considered an incurable disease. The family of heterogeneous nuclear ribonucleoprotein complexes is composed of about 20 hnRNP proteins with molecular weights ranging from 32 to 120 kDa, and they are named according to their molecular weights. Among them, hnRNPA2 and hnRNPB1 are the two most important members of the hnRNP family, both derived from the same gene on chromosome 7p15. Therefore, research to understand the molecular mechanism and process of breast cancer progression has an important role in promoting the current medical research on breast cancer treatment methods. Therefore, studying the mechanism of tumorigenesis is the key to tumor prevention and treatment. Therefore, this paper proposes that A2/B1 promotes the stability of NRF2 mRNA and inhibits ferroptosis and cell proliferation in breast cancer cells. The article mainly introduces the disease diagnosis method based on artificial neural network and its neural network algorithm. In the experimental part, the activity of hnRNP A2/B1 on cancer cells is deeply studied. The results show that the absorbance of the MTT method increases continuously with the extension of the culture time, and the maximum reaches 1.2. This fully shows that its absorption capacity is very strong, especially after 24 hours, the absorption rate rises from 0.6 to 0.9, which shows that 24 hours is the best absorption time. And it can also be found that hnRNPA2/B1 has a significant inhibitory effect on breast cancer cells; it can reduce the effect on breast cancer cell cycle and apoptosis.
乳腺癌是一种危害性极大的恶性肿瘤，对女性身心健康危害极大，死亡率在女性各类疾病中位居第二。其发病率占全身各种恶性肿瘤的 7-10%，仅次于子宫癌，已成为威胁女性健康的主要原因。晚期乳腺癌常被认为是一种不治之症。异质核核糖核蛋白复合物家族由大约 20 种分子量在 32 到 120kDa 的 hnRNP 蛋白组成，它们根据分子量命名。其中，hnRNPA2 和 hnRNPB1 是 hnRNP 家族中最重要的两个成员，均来自染色体 7p15 上的同一个基因。因此，研究了解乳腺癌进展的分子机制和过程对于促进当前乳腺癌治疗方法的医学研究具有重要作用。因此，研究肿瘤发生的机制是肿瘤预防和治疗的关键。因此，本文提出 A2/B1 促进 NRF2 mRNA 的稳定性并抑制乳腺癌细胞中的铁死亡和细胞增殖。文章主要介绍了基于人工神经网络的疾病诊断方法及其神经网络算法。在实验部分，深入研究了 hnRNP A2/B1 在癌细胞中的活性。结果表明，MTT 法的吸光度随培养时间的延长而持续增加，最大值达到 1.2。这充分表明其吸收能力非常强，尤其是在 24 小时后，吸收率从 0.6 上升到 0.9，这表明 24 小时是最佳吸收时间。并且还可以发现 hnRNPA2/B1 对乳腺癌细胞具有显著的抑制作用；它可以减少对乳腺癌细胞周期和凋亡的影响。
