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与炎症、血管生成和癌症相关的血浆蛋白质组图谱。

Plasma proteome profiles associated with inflammation, angiogenesis, and cancer.

机构信息

Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.

出版信息

PLoS One. 2011 May 12;6(5):e19721. doi: 10.1371/journal.pone.0019721.

DOI:10.1371/journal.pone.0019721
PMID:21589862
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3093388/
Abstract

Tumor development is accompanied by a complex host systemic response, which includes inflammatory and angiogenic reactions. Both tumor-derived and systemic response proteins are detected in plasma from cancer patients. However, given their non-specific nature, systemic response proteins can confound the detection or diagnosis of neoplasia. Here, we have applied an in-depth quantitative proteomic approach to analyze plasma protein changes in mouse models of subacute irritant-driven inflammation, autoreactive inflammation, and matrix associated angiogenesis and compared results to previously described findings from mouse models of polyoma middle T-driven breast cancer and Pdx1-Cre Kras(G12D) Ink4a/Arf (lox/lox)-induced pancreatic cancer. Among the confounding models, approximately 1/3 of all quantified plasma proteins exhibited a significant change in abundance compared to control mice. Of the proteins that changed in abundance, the majority were unique to each model. Altered proteins included those involved in acute phase response, inflammation, extracellular matrix remodeling, angiogenesis, and TGFβ signaling. Comparison of changes in plasma proteins between the confounder models and the two cancer models revealed proteins that were restricted to the cancer-bearing mice, reflecting the known biology of these tumors. This approach provides a basis for distinguishing between protein changes in plasma that are cancer-related and those that are part of a non-specific host response.

摘要

肿瘤的发生伴随着复杂的宿主全身反应,包括炎症和血管生成反应。肿瘤来源和全身反应蛋白都在癌症患者的血浆中被检测到。然而,由于其非特异性,全身反应蛋白可能会干扰肿瘤的检测或诊断。在这里,我们应用了一种深入的定量蛋白质组学方法来分析亚急性刺激驱动的炎症、自身免疫性炎症和基质相关血管生成的小鼠模型中的血浆蛋白变化,并将结果与先前描述的多瘤病毒中 T 驱动的乳腺癌和 Pdx1-Cre Kras(G12D)Ink4a/Arf(lox/lox)诱导的胰腺肿瘤的小鼠模型的结果进行了比较。在混杂模型中,与对照小鼠相比,大约三分之一的所有定量血浆蛋白的丰度发生了显著变化。在丰度发生变化的蛋白质中,大多数是每个模型所特有的。改变的蛋白质包括参与急性期反应、炎症、细胞外基质重塑、血管生成和 TGFβ 信号的蛋白质。混杂模型和两种癌症模型之间血浆蛋白变化的比较揭示了仅存在于携带肿瘤的小鼠中的蛋白质,反映了这些肿瘤的已知生物学特性。这种方法为区分与癌症相关的血浆蛋白变化和非特异性宿主反应的一部分提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/685e52e8d57c/pone.0019721.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/cbc0ee38952c/pone.0019721.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/c4405fb793fa/pone.0019721.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/3aff18b08eb8/pone.0019721.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/b05da67c1853/pone.0019721.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/685e52e8d57c/pone.0019721.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/cbc0ee38952c/pone.0019721.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/c4405fb793fa/pone.0019721.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/3aff18b08eb8/pone.0019721.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/b05da67c1853/pone.0019721.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d30/3093388/685e52e8d57c/pone.0019721.g005.jpg

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3
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Stem Cell Res Ther. 2023 Dec 10;14(1):350. doi: 10.1186/s13287-023-03573-4.
4
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