共 41 条
Extracellular Matrix Imaging of Breast Tissue Pathologies by MALDI-Imaging Mass Spectrometry
被引:42
作者:

Angel, Peggi M.
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Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA

Schwamborn, Kristina
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Tech Univ Munich, Inst Pathol, Munich, Germany Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA

Comte-Walters, Susana
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机构:
Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA
Tech Univ Munich, Inst Pathol, Munich, Germany Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA

Clift, Cassandra L.
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Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA

Ball, Lauren E.
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Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA

Mehta, Anand S.
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Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA

Drake, Richard R.
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Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA
机构:
[1] Med Univ South Carolina, Dept Cell & Mol Pharmacol, MUSC Prote Ctr, Charleston, SC 29425 USA
[2] Tech Univ Munich, Inst Pathol, Munich, Germany
关键词:
breast cancer;
extracellular matrix;
MALDI imaging mass spectrometry;
peptide imaging;
proteomics;
tissue imaging;
MAMMOGRAPHIC DENSITY;
CANCER;
COLLAGEN;
PROTEINS;
IDENTIFICATION;
RECURRENCE;
D O I:
10.1002/prca.201700152
中图分类号:
Q5 [生物化学];
学科分类号:
071010 ;
081704 ;
摘要:
Purpose A new method accessing proteins from extracellular matrix by imaging mass spectrometry (ECM IMS) has been recently reported. ECM IMS is evaluated for use in exploring breast tissue pathologies. Experimental Design A tissue microarray (TMA) is analyzed that has 176 cores of biopsies and lumpectomies spanning breast pathologies of inflammation, hyperplasia, fibroadenoma, invasive ductal carcinoma, and invasive lobular carcinoma and normal adjacent to tumor (NAT). NAT is compared to subtypes by area under the receiver operating curve (ROC) >0.7. A lumpectomy is also characterized for collagen organization by microscopy and stromal protein distribution by IMS. LC-based high-resolution accurate mass (HRAM) proteomics is used to identify proteins from the lumpectomy. Results TMA analysis shows distinct spectral signatures reflecting a heterogeneous tissue microenvironment. Ninety-four peaks show an ROC > 0.7 compared to NAT; NAT has overall higher intensities. Lumpectomy analysis by IMS visualizes a complex central tumor region with distal tumor regions. A total of 39 stromal proteins are identified by HRAM LC-based proteomics. Accurate mass matches between image data and LC-based proteomics demonstrate a heterogeneous collagen type environment in the central tumor. Conclusions Data portray the heterogeneous stromal microenvironment of breast pathologies, including alteration of multiple collagen-type patterns. ECM IMS is a promising new tool for investigating the stromal microenvironment of breast tissue including cancer.
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