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胃癌侵袭转移的原位小鼠模型。

An orthotopic mouse model of gastric cancer invasion and metastasis.

机构信息

Upper Gastrointestinal Translational Research Laboratory, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.

Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.

出版信息

Sci Rep. 2018 Jan 16;8(1):825. doi: 10.1038/s41598-017-19025-y.

Abstract

Gastric cancer is a leading cause of cancer death worldwide, with advanced stage being correlated to the level of tumour invasion and metastasis. Current research is heavily focused on the identification and development of efficacious therapeutics targeting these fundamental hallmarks of cancer, however there are currently no animal models that mimic the invasive phenotypes observed in humans. To address this we have developed an orthotopic mouse model whereby gastric cancer cell lines are tagged with luciferase and injected into the subserosal layer of the stomach. This allows for the monitoring of primary tumour growth and metastasis in real-time as well as quantitation of the degree of tumour invasion through the stomach wall by immunohistochemistry. We have three models based on the degree of invasion and metastasis that are cell line specific: The AGS cells develop into invasive tumours by 4-weeks with no evidence of metastases, MKN45 cells are moderately metastatic with minimal invasion till week 2 and MKN28 cells are highly metastatic and fully invasive by week 1. These models have utility as a tool for testing the efficacy of anti-tumour, anti-invasive and anti-metastatic therapies in the setting of gastric cancer, which currently has poor treatment options.

摘要

胃癌是全球癌症死亡的主要原因,晚期与肿瘤侵袭和转移的程度相关。目前的研究重点是识别和开发针对癌症这些基本特征的有效治疗方法,然而目前还没有能够模拟人类侵袭表型的动物模型。为了解决这个问题,我们开发了一种原位小鼠模型,其中将胃癌细胞系标记为荧光素酶,并注射到胃的浆膜下层。这使得可以实时监测原发性肿瘤的生长和转移,并通过免疫组织化学定量评估肿瘤通过胃壁的侵袭程度。我们有三个基于侵袭和转移程度的、具有细胞系特异性的模型:AGS 细胞在 4 周内发展为侵袭性肿瘤,没有转移的证据;MKN45 细胞转移程度中等,侵袭程度最小,直到第 2 周;而 MKN28 细胞则在第 1 周就具有高度转移性和完全侵袭性。这些模型可用于测试胃癌中抗肿瘤、抗侵袭和抗转移治疗的疗效,因为目前胃癌的治疗选择有限。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d7a/5770387/68904c754330/41598_2017_19025_Fig1_HTML.jpg

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