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Journal of Cancer Research and Clinical Oncology

Erschienen in:

01.03.2009 | Original Paper

Identification of prognosis-related proteins in advanced gastric cancer by mass spectrometry-based comparative proteomics

verfasst von: Shu-Qin Jia, Zhao-Jian Niu, Lian-Hai Zhang, Xi-Yao Zhong, Tao Shi, Hong Du, Gui-Guo Zhang, Ying Hu, Xiu-Lan Su, Jia-Fu Ji

Erschienen in: Journal of Cancer Research and Clinical Oncology | Ausgabe 3/2009

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Abstract

Purpose

The objective of this study was to identify differentially expressed proteins of advanced gastric cancer from patients with different prognosis using NanoLC–MS/MS (LTQ) (nanoflow liquid chromatography system interfaced with a linear ion trap LTQ mass spectrometer).

Methods

Eight gastric cancer patients with relatively early TNM stage and survival time >34 months were identified as good survival (group G), while the other eight with late stage and survival time <15 months as poor survival (group P). The total protein of the tissue samples from each group was extracted and pooled together respectively. The resulting two protein mixtures were trypsin-digested and analyzed using NanoLC–MS/MS (LTQ). Database searches were done against NCBI non-redundant database and SWISS-PROT database and the identified proteins were classified through an online Web Gene Ontology Annotation Plot tool. Immunohistochemistry was used to verify candidate prognosis-related proteins.

Results

There were 284 and 213 proteins identified for group G and group P respectively. And 117 proteins were detected exclusively in group G and 46 proteins exclusively in group P. These protein markers function in calcium ion signaling pathway, cellular metabolism, cytoskeleton formation, stress reaction, etc. Among those, the down-regulated expression of S100P was verified to claim a poor clinical outcome of gastric cancer patients (P = 0.0375).

Conclusion

The MS-based proteomics approach is efficient in identifying differentially expressed proteins in relation to prognosis of advanced gastric cancer patients. These differentially expressed proteins could be potential prognosis-related cancer markers and deserve further validation and functional study.

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Titel: Identification of prognosis-related proteins in advanced gastric cancer by mass spectrometry-based comparative proteomics
verfasst von: Shu-Qin Jia
Zhao-Jian Niu
Lian-Hai Zhang
Xi-Yao Zhong
Tao Shi
Hong Du
Gui-Guo Zhang
Ying Hu
Xiu-Lan Su
Jia-Fu Ji
Publikationsdatum: 01.03.2009
Verlag: Springer-Verlag
Erschienen in: Journal of Cancer Research and Clinical Oncology / Ausgabe 3/2009
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI: https://doi.org/10.1007/s00432-008-0474-3

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