Profiling of differentially expressed proteins in stage IV colorectal cancers with good and poor outcomes
- Title
- Profiling of differentially expressed proteins in stage IV colorectal cancers with good and poor outcomes
- Authors
- 김혜정; 강운범; 이한나; 정지한; 이승택; 유명희; 김호근; 이철주
- Keywords
- Prognostic biomarker; Molecular staging; Colorectal cancer; DIGE; cICAT
- Issue Date
- 2012-06
- Publisher
- JOURNAL OF PROTEOMICS
- Citation
- VOL 75, NO 10, 2983-2997
- Abstract
- Screening patients at high risk of recurrence of cancer would allow for more accurate and
personalized treatment. In this study, we tried to identify the prognosis-related protein profile
by applying two different quantitative proteomic techniques, difference in-gel electrophoresis
and cleavable isotope-coded affinity tag method. Six tumor tissues were obtained from stage
IV colorectal cancer (CRC) patients, of which three have survived more than five years (good
prognostic group, GPG) and the other three died within 25 months (poor prognostic group,
PPG) after palliative surgery and subsequent chemotherapy treatment. Fromthe two independent
quantitative analyses, we identified 175 proteins with abundance ratios greater than
2-fold. Gene ontology analysis revealed that proteins related to cellular assembly/organization
andmovementwere generally increased in the PPG. Twenty-two proteins, including caveolin-
1, were chosen for confirmatory studies by Western blot and immunohistochemistry. The
Western blot data for each individual protein were analyzed with Mann–Whitney tests, and
a multi-marker panel was generated by logistic regression analysis. Five proteins, fatty acid
binding protein 1, intelectin 1, transitional endoplasmic reticulum ATPase, transgelin and
tropomyosin 2, were significantly different between the two prognostic groups within 95%
confidence. No single protein could completely distinguish the two groups from each other.
However, a combination of the five proteins effectively distinguished PPG from GPG patients
(AUC=1). Our study suggests amulti-marker panel composed of proteome signatures that provide
accurate predictive information and potentially assist personalized therapy. This article is
part of a Special Issue entitled: Proteomics: The clinical link.
- URI
- https://pubs.kist.re.kr/handle/201004/43818
- ISSN
- 18743919
- Appears in Collections:
- KIST Publication > Article
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