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Analysis of serum proteome profiles in nasopharyngeal carcinoma with different radiosensitivity

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Abstract

Purpose

The research is endeavored to establish a serum protein fingerprint model for predicting radiosensitivity of nasopharyngeal carcinoma through the analysis of the serum expressed proteins of the pre- and post-treatment nasopharyngeal carcinoma patients treated with radiotherapy.

Methods

Surface-enhanced laser desorption ionization-time of flight-mass spectrometry and CM-10 protein chip were used to detect the serum proteomic patterns of 50 nasopharyngeal carcinoma patients with different radiosensitivity. Thirty-eight of the 50 patients after the treatment were also studied. Biomarker Wizard 3.01 and Biomarker Pattern 5.01 were used in combination to analyze the data and to develop predicting models.

Results

At the molecular weight range of 2,000–20,000, the software identified an average of 83 mass peaks between radiation sensitive group and radiation resistant group. 11 protein peaks were significantly different. Of the 83 mass peaks, 4 mass peaks (mass/charge ratio [m/z] 2,575, 3,942, 6,117 and 6,778) were chosen automatically to construct a classification tree. The diagnostic accuracy was 78.0 %. M/z 6,117 and 6,778 of the radiation sensitive group after the treatment trended to those of the radiation resistant group.

Conclusions

The technology of surface-enhanced laser desorption ionization-time of flight-mass spectrometry can be used to screen and identify differentially expressed proteins associated with different radiosensitivity in nasopharyngeal cancer. It should be a very useful tool for predicting radiosensitivity of nasopharyngeal carcinoma.

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References

  1. Zhao C, Lu TX, Han F, Lu LX, Huang SM, Deng XW, et al. Clinical study of 139 nasopharyngeal carcinoma patients for intensity modulated radiation therapy. Chin J Radiat Oncol. 2006;15(1):1–6.

    Google Scholar 

  2. Wang XS, Hu CS, Wu YR, Feng Y. Influence of speed in tumor regression on prognosis of nasopharyngeal carcinoma. Chin J Radiat Oncol. 2005;14(1):6–9.

    CAS  Google Scholar 

  3. Wang Q, Li L, Li DR, Zhang W, Wei X, Zhang JQ, et al. Identification of serum biomarkers for ovarian cancer using protein chips and time of flight mass spectrometry technology. Chin J Obstet Gynecol. 2006;41(8):544–8.

    Google Scholar 

  4. Sun W, He F. Applications of proteomics in hepatic diseases research. Sci China C Life Sci. 2004;47(2):101–6.

    Article  CAS  PubMed  Google Scholar 

  5. Mian S, Ball G, Hornbuckle J, Holding F, Carmichael J, Ellis I, et al. A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell lines exposed to paclitaxel and doxorubicin under in vitro conditions. Proteomics. 2003;3(9):1725–37.

    Article  CAS  PubMed  Google Scholar 

  6. Hayashida Y, Honda K, Osaka Y, Hara T, Umaki T, Tsuchida A, et al. Possible prediction of chemoradiosensitivity of esophageal cancer by serum protein profiling. Clin Cancer Res. 2005;11(22):8042–7.

    Article  CAS  PubMed  Google Scholar 

  7. Cho WC, Yip TT, Ngan RK, Podust VN, Yip C, Yiu HH, et al. ProteinChip array profiling for identification of disease- and chemotherapy-associated biomarkers of nasopharyngeal carcinoma. Clin Chem. 2007;53(2):241–50.

    Article  CAS  PubMed  Google Scholar 

  8. Guan X, Li DR, Wang Q, Li L, Yun H, Zhang W. Screening of differentially expressed proteins associated with directional highly lymphatic metastasis in ovarian carcinoma cell lines using SELDI-TOF-MS technology. Chin J Cancer. 2008;11:1155–60.

    Google Scholar 

  9. Russo SM, Tepper JE, Baldwin AS Jr, Liu R, Adams J, Elliott P, et al. Enhancement of radiosensitivity by proteasome inhibition: implications for a role of NF-kappaB. Int J Radiat Oncol Biol Phys. 2001;50(1):183–93.

    Article  CAS  PubMed  Google Scholar 

  10. Rodel C, Haas J, Groth A, Grabenbauer GG, Sauer R, Rodel F. Spontaneous and radiation-induced apoptosis in colorectal carcinoma cells with different intrinsic radiosensitivities: survivin as a radioresistance factor. Int J Radiat Oncol Biol Phys. 2003;55(5):1341–7.

    Article  CAS  PubMed  Google Scholar 

  11. Smith FM, Gallagher WM, Fox E, Stephens RB, Rexhepaj E, Petricoin EF 3rd, et al. Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy. Ann Surg. 2007;245(2):259–66.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The work was sponsored by the clinical research special foundation of Wu Jieping medical foundation (No. 320.6750.06080), Guangxi scientific research and technology development Project (No. 0719006-2-23), Guangxi graduate education and innovation project (No. 2007105981002 M33), supplementary programs of Guangxi large instruments shared network test (No. 533-2007-112) (No. 555-2007-134), major research projects of Guangxi universities (No. 201101ZD004), and the key project of Guangxi heath care (No. 2011076).

Conflict of interest

The authors have declared that no competing interests exist.

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Authors and Affiliations

  1. Department of Radiotherapy, Guangxi Autonomous Regional Cancer Hospital, Cancer Hospital of Guangxi Medical University, Nanning, 530021, China

    F. Su, X. Zhu, Z. Liang, L. Li, S. Qu, X. Liang, S. Liang & L. Chen

  2. Department of the Sixth Laboratory, Guangxi Autonomous Regional Cancer Hospital, Cancer Hospital of Guangxi Medical University, Nanning, 530021, China

    Q. Wang

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  1. F. Su
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  2. X. Zhu
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  3. Z. Liang
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  4. L. Li
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  6. X. Liang
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  7. Q. Wang
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  8. S. Liang
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  9. L. Chen
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Corresponding author

Correspondence to X. Zhu.

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Su, F., Zhu, X., Liang, Z. et al. Analysis of serum proteome profiles in nasopharyngeal carcinoma with different radiosensitivity. Clin Transl Oncol 16, 147–152 (2014). https://doi.org/10.1007/s12094-013-1052-y

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  • DOI: https://doi.org/10.1007/s12094-013-1052-y

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