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基于深度学习结合健脾中药的人胃癌裸鼠移植瘤抗肿瘤作用的实验研究

Experimental Research on the Antitumor Effect of Human Gastric Cancer Cells Transplanted in Nude Mice Based on Deep Learning Combined with Spleen-Invigorating Chinese Medicine.

机构信息

Medical College, China Three Gorges University, Yichang, 443000 Hubei, China.

Third-Grade Pharmacological Laboratory on TCM Approved by the State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443000 Hubei, China.

出版信息

Comput Math Methods Med. 2022 Feb 12;2022:3010901. doi: 10.1155/2022/3010901. eCollection 2022.

DOI:10.1155/2022/3010901
PMID:35190750
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8858057/
Abstract

Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highest mortality rate in the world. Gastric cancer is difficult to treat because of its unobvious onset, low resection rate, and rapid deterioration. Therefore, humans have been working hard to combat gastric cancer. At present, the most commonly used treatment method is radiotherapy. However, this method will damage the normal tissues of the irradiated area while treating malignant tumor cells. It not only has side effects of damage to the patient's skin and mucous membranes but also needs high-rate radiotherapy and has high cost for chemotherapy. In order to solve these problems, it is necessary to find new treatment methods. This article proposes the use of Chinese medicine to invigorate the spleen to inhibit human gastric cancer cells. This article combines modern machine learning technology with traditional Chinese medicine and combines traditional Chinese medicine physiotherapy with Western medicine nude mouse transplantation experiments. The treatment of tumors in Chinese medicine is based on the theory of Chinese medicine and has different characteristics. Western medicine has the advantage of permanently injuring patients. The process of the experiment is to transplant human-derived gastric cancer cells into nude mice. After grouping treatments and obtaining comparative data, deep learning techniques are used to analyze the properties of Chinese medicines for strengthening the spleen and to compare the properties of Chinese medicines for strengthening the spleen. The experimental results showed that the tumor inhibition rate of mice using fluorouracil was 18%, the tumor inhibition rate of mice using low-dose Chinese medicine was 16%, and the tumor inhibition rate of mice using high-dose Chinese medicine reached 52%. 80 days after the experiment, the survival rate of mice using high-dose Chinese medicine is 100% higher than that of mice without treatment.

摘要

胃癌仍然是世界上第五种最常见的恶性肿瘤,也是世界上第四种死亡率最高的癌症。胃癌难以治疗,因为它的发病不明显,切除率低,恶化迅速。因此,人类一直在努力对抗胃癌。目前,最常用的治疗方法是放疗。然而,这种方法在治疗恶性肿瘤细胞的同时会损伤照射区域的正常组织,不仅对患者的皮肤和粘膜有副作用,而且需要高剂量的放疗,化疗成本也很高。为了解决这些问题,有必要寻找新的治疗方法。本文提出了用中药健脾来抑制人胃癌细胞。本文将现代机器学习技术与中药相结合,将中医物理疗法与西医裸鼠移植实验相结合。中医治疗肿瘤是基于中医理论,具有不同的特点。西医的优势在于永久性地伤害患者。实验过程是将人源性胃癌细胞移植到裸鼠体内。在分组治疗并获得比较数据后,使用深度学习技术分析健脾中药的特性,并比较健脾中药的特性。实验结果表明,氟尿嘧啶组小鼠的肿瘤抑制率为 18%,低剂量中药组小鼠的肿瘤抑制率为 16%,高剂量中药组小鼠的肿瘤抑制率达到 52%。实验 80 天后,高剂量中药组小鼠的存活率比未治疗组小鼠高 100%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fca3/8858057/546b6912d1a4/CMMM2022-3010901.010.jpg
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