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Proteomic Identification Of Neoadjuvant Chemotherapy-related Proteins In Bulky Stage IB-IIA Squamous Cervical Cancer | 3754
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Proteomic identification of neoadjuvant chemotherapy-related proteins in bulky stage IB-IIA squamous cervical cancer

2nd International Conference on Proteomics & Bioinformatics

Xueqiong Zhu, Shuangwei Zou, Qi Shen, Wenxiao Jiang and Shengdi Ding

Posters: J Proteomics Bioinform

DOI: 10.4172/0974-276X.S1.064

Objective: The aim of this study was to use proteomic techniques to identify the proteins in squamous cervical cancer whose expression levels changes in response to neoadjuvant chemotherapy (NAC). Methods: We used bulky squamous cervical cancer tissues (16 cases) before and after NAC treatment from patients who responded to NAC. Six cases before and after NAC treatment were selected for the two-dimensional gel electrophoresis, and the differentially expressed proteins were identified using matrix-assisted laser desorption/ionization-time of flight mass spectrometry. The other 10 pairs of tissues were selected to confirm the expression and localization of the peroxiredoxin-1 and galectin-1 proteins using western blot analysis and immunohistochemistry. Results: The comparison of the proteins present before and after NAC revealed that 116 protein spots were up-regulated or down-regulated. Thirty-one of these proteins were analyzed by mass spectrometry, and 15 proteins were up-regulated in the cancer tissue after NAC relative to the level before NAC, whereas 16 proteins were down-regulated after NAC. The expression of peroxiredoxin-1 was significantly higher and the expression of galectin-1 was significantly lower after NAC treatment than before chemotherapy. Conclusions: Proteomics can be used to identify chemotherapy-related proteins in squamous cervical cancer. The up-regulation of peroxiredoxin-1 and the down-regulation of galectin-1 may play distinctive roles in the response of squamous cervical cancer to chemotherapy.
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