Suppr超能文献

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.

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/cbc0ee38952c/pone.0019721.g001.jpg

相似文献

1
Plasma proteome profiles associated with inflammation, angiogenesis, and cancer.
PLoS One. 2011 May 12;6(5):e19721. doi: 10.1371/journal.pone.0019721.
2
Comparative plasma proteome analysis of lymphoma-bearing SJL mice.
J Proteome Res. 2005 Sep-Oct;4(5):1814-25. doi: 10.1021/pr0501463.
3
Tumor microenvironment-derived proteins dominate the plasma proteome response during breast cancer induction and progression.
Cancer Res. 2011 Aug 1;71(15):5090-100. doi: 10.1158/0008-5472.CAN-11-0568. Epub 2011 Jun 8.
4
Plasma Proteome Biomarkers of Inflammation in School Aged Children in Nepal.
PLoS One. 2015 Dec 4;10(12):e0144279. doi: 10.1371/journal.pone.0144279. eCollection 2015.
5
Inactivation of TIF1gamma cooperates with Kras to induce cystic tumors of the pancreas.
PLoS Genet. 2009 Jul;5(7):e1000575. doi: 10.1371/journal.pgen.1000575. Epub 2009 Jul 24.
6
Mass spectrometry-based study of the plasma proteome in a mouse intestinal tumor model.
J Proteome Res. 2006 Aug;5(8):1866-78. doi: 10.1021/pr060120r.
9
A mouse to human search for plasma proteome changes associated with pancreatic tumor development.
PLoS Med. 2008 Jun 10;5(6):e123. doi: 10.1371/journal.pmed.0050123.
10
Inactivation of Smad4 accelerates Kras(G12D)-mediated pancreatic neoplasia.
Cancer Res. 2007 Sep 1;67(17):8121-30. doi: 10.1158/0008-5472.CAN-06-4167.

引用本文的文献

2
Mechanistic insights into resistance mechanisms to T cell engagers.
Front Immunol. 2025 Apr 22;16:1583044. doi: 10.3389/fimmu.2025.1583044. eCollection 2025.
3
Plasma proteomics-based biomarkers for predicting response to mesenchymal stem cell therapy in severe COVID-19.
Stem Cell Res Ther. 2023 Dec 10;14(1):350. doi: 10.1186/s13287-023-03573-4.
4
Metal-induced oxidative stress and human plasma protein oxidation after SARS-CoV-2 infection.
Sci Rep. 2023 Feb 10;13(1):2441. doi: 10.1038/s41598-023-29119-5.
7
Theoretical and Analyses Reveal MYC as a Dynamic Network Biomarker in Colon and Rectal Cancer.
Front Genet. 2020 Oct 20;11:555540. doi: 10.3389/fgene.2020.555540. eCollection 2020.
10

本文引用的文献

1
Nonresolving inflammation.
Cell. 2010 Mar 19;140(6):871-82. doi: 10.1016/j.cell.2010.02.029.
3
Influence of ovarian cancer risk status on the diagnostic performance of the serum biomarkers mesothelin, HE4, and CA125.
Cancer Epidemiol Biomarkers Prev. 2009 May;18(5):1365-72. doi: 10.1158/1055-9965.EPI-08-1034.
4
Lipocalin 2 promotes breast cancer progression.
Proc Natl Acad Sci U S A. 2009 Mar 10;106(10):3913-8. doi: 10.1073/pnas.0810617106. Epub 2009 Feb 23.
6
Multifunctional roles of insulin-like growth factor binding protein 5 in breast cancer.
Breast Cancer Res. 2008;10(4):212. doi: 10.1186/bcr2116. Epub 2008 Aug 11.
7
A mouse model repository for cancer biomarker discovery.
J Proteome Res. 2008 Aug;7(8):3613-8. doi: 10.1021/pr800210b. Epub 2008 Jul 15.
8
A mouse to human search for plasma proteome changes associated with pancreatic tumor development.
PLoS Med. 2008 Jun 10;5(6):e123. doi: 10.1371/journal.pmed.0050123.
9
The effect of thrombospondin-1 on breast cancer metastasis.
Breast Cancer Res Treat. 2009 Mar;114(1):85-96. doi: 10.1007/s10549-008-9992-6. Epub 2008 Apr 13.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验