4.7 Article

Approaching Solid Tumor Heterogeneity on a Cellular Basis by Tissue Proteomics Using Laser Capture Microdissection and Biological Mass Spectrometry

期刊

JOURNAL OF PROTEOME RESEARCH
卷 8, 期 5, 页码 2310-2318

出版社

AMER CHEMICAL SOC
DOI: 10.1021/pr8009403

关键词

laser capture microdissection (LCM); mass spectrometry (MS); solid tumor heterogeneity

资金

  1. CCR NIH HHS [HHSN261200800001C] Funding Source: Medline
  2. Intramural NIH HHS [ZIA BC011226-01, Z99 CA999999] Funding Source: Medline
  3. NCI NIH HHS [HHSN261200800001E] Funding Source: Medline

向作者/读者索取更多资源

The purpose of this study was to examine solid tumor heterogeneity on a cellular basis using tissue proteomics that relies on a functional relationship between Laser Capture Microdissection (LCM) and biological mass spectrometry (MS). With the use of LCM, homogeneous regions of cells exhibiting uniform histology were isolated and captured from fresh frozen tissue specimens, which were obtained from a human lymph node containing breast carcinoma metastasis. Six specimens similar to 50 000 cell each (three from tumor proper and three from tumor stroma) were collected by LCM. Specimens were processed directly on LCM caps, using sonication in buffered methanol to lyse captured cells, solubilize, and digest extracted proteins. Prepared samples were analyzed by LC/MS/MS resulting in more than 500 unique protein identifications. Decoy database searching revealed a false-positive rate between 5 and 10%. Subcellular localization analysis for stromal cells revealed plasma membrane 14%, cytoplasm 39%, nucleus 11%, extracellular space 27%, and unknown 9%; and tumor cell results were 5%, 58%, 26%, 4%, and 7%, respectively. Western blot analysis confirmed specific linkage of validated proteins to underlying pathology and their potential role in solid tumor heterogeneity. With continued research and optimization of this method including analysis of additional clinical specimens, this approach may lead to an improved understanding of tumor heterogeneity, and serve as a platform for solid tumor biomarker discovery.

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