4.7 Article

Identification of PRDX4 and P4HA2 as Metastasis-Associated Proteins in Oral Cavity Squamous Cell Carcinoma by Comparative Tissue Proteomics of Microdissected Specimens Using iTRAQ Technology

期刊

JOURNAL OF PROTEOME RESEARCH
卷 10, 期 11, 页码 4935-4947

出版社

AMER CHEMICAL SOC
DOI: 10.1021/pr200311p

关键词

oral cancer; OSCC; metastasis; PRDX4; P4HA2; iTRAQ-based proteomics; LCM

资金

  1. National Science Council [NSC99-2314-B-182A-034-MY3, NSC99-2320-B-182A-004-MY3]
  2. Ministry of Education [EMRPD190041]
  3. Department of Health [DOH99-TD-C-111-006]
  4. Chang Gung University [CMRPG381111, CMRPG381112, CMRPD180291]
  5. Chang Gung Memorial Hospital, Taiwan

向作者/读者索取更多资源

Cervical lymph node metastasis represents the major prognosticator for oral cavity squamous cell carcinoma (OSCC). Here, we used an iTRAQ-based quantitative proteomic approach to identify proteins that are differentially expressed between microdissected primary and metastatic OSCC tumors. The selected candidates were examined in tissue sections via immunohistochemistry, and their roles in OSCC cell function investigated using RNA interference. Seventy-four differentially expressed proteins in nodal metastases, including PRDX4 and P4HA2, were identified. Immunohistochemical analysis revealed significantly higher levels of PRDX4 and P4HA2 in tumor cells than adjacent non-tumor epithelia (P < 0.0001 and P < 0.0001, respectively), and even higher expression in the 31 metastatic tumors of lymph nodes, compared to the corresponding primary tumors (P = 0.060 and P = 0.002, respectively). Overexpression of PRDX4 and P4HA2 was significantly associated with positive pN status (P = 0.048 and P = 0.021, respectively). PRDX4 overexpression was a significant prognostic factor for disease-specific survival in both univariate and multivariate analyses (P = 0.034 and P = 0.032, respectively). Additionally, cell migration and invasiveness were attenuated in OEC-M1 cells upon in vitro knockdown of PRDX4 and P4HA2 with specific interfering RNA. Novel metastasis-related prognostic markers for OSCC could be identified by our approach.

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