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Proteomic analysis of stage I endometrial cancer tissue: identification of proteins associated with oxidative processes and inflammation
Authors:Maxwell G Larry  Hood Brian L  Day Roger  Chandran Uma  Kirchner David  Kolli V S Kumar  Bateman Nicolas W  Allard Jay  Miller Caela  Sun Mai  Flint Melanie S  Zahn Chris  Oliver Julie  Banerjee Subhadra  Litzi Tracy  Parwani Anil  Sandburg Glenn  Rose Scott  Becich Michael J  Berchuck Andrew  Kohn Elise  Risinger John I  Conrads Thomas P
Affiliation:
  • a Division of Gynecologic Oncology, Walter Reed Army Medical Center, Washington DC, USA
  • b Cancer Research Center/Walter Reed Laboratory of Gynecologic Disease, National Cancer Institute, Bethesda, MD, USA
  • c Women’s Health Integrated Research Center at Inova Health System, Fairfax Virginia, USA
  • d University of Pittsburgh Cancer Institute, Pittsburgh PA, USA
  • e Windber Research Institute, Johnstown PA, USA
  • f Uniformed Services University of the Health Sciences, USA
  • g Armed Forces Institute of Pathology, Duke University Medical Center, Durham, NC, USA
  • h Division of Gynecologic Oncology, Duke University Medical Center, Durham, NC, USA
  • i Department of Obstetrics Gynecology and Reproductive Biology, Michigan State University, Grand Rapids MI, USA
  • Abstract:

    Objective

    The present study aimed to identify differentially expressed proteins employing a high resolution mass spectrometry (MS)-based proteomic analysis of endometrial cancer cells harvested using laser microdissection.

    Methods

    A differential MS-based proteomic analysis was conducted from discrete epithelial cell populations gathered by laser microdissection from 91 pathologically reviewed stage I endometrial cancer tissue samples (79 endometrioid and 12 serous) and 10 samples of normal endometrium from postmenopausal women. Hierarchical cluster analysis of protein abundance levels derived from a spectral count analysis revealed a number of proteins whose expression levels were common as well as unique to both histologic types. An independent set of endometrial cancer specimens from 394 patients were used to externally validate the differential expression of select proteins.

    Results

    209 differentially expressed proteins were identified in a comparison of stage I endoimetrial cancers and normal post-menopausal endometrium controls (Q < 0.005). A number of differentially abundant proteins in stage I endometrial cancer were identified and independently validated by western blot and tissue microarray analyses. Multiple proteins identified with elevated abundance in stage I endometrial cancer are functionally associated with inflammation (annexins) and oxidative processes (peroxiredoxins). PRDX1 and ANXA2 were both confirmed as being overexpressed in stage I cancer compared to normal endometrium by independent TMA (Q = 0.008 and Q = 0.00002 respectively).

    Conclusions

    These data provide the basis for further investigation of previously unrecognized novel pathways involved in early stage endometrial carcinogenesis and provide possible targets for prevention strategies that are inclusive of both endometrioid and serous histologic subtypes.
    Keywords:Endometrial cancer   Laser capture microdissection   Proteomics   Stage I
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