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Serum profiling by mass spectrometry combined with bioinformatics for the biomarkers discovery in diffuse large B-cell lymphoma

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Tumor Biology

Abstract

The aim of this study was to identify potential serum biomarkers of diffuse large B-cell lymphoma (DLBCL) and to detect DLBCL therapy response biomarkers. DLBCL serum proteomic analysis was performed using the CM10 ProteinChip mass spectrometry (SELDI-TOF-MS) approach combined with bioinformatics. A total of 178 samples were analyzed in this study from untreated early stage DLBCL patients (38), patients with inflammatory lymphadenopathy (13), healthy donors (35), post-treatment non-relapsed DLBCL patients (53), and relapsed DLBCL patients (39). Model 1 formed by nine protein peaks (m/z: 6443, 5913, 6198, 4098, 7775, 9293, 5946, 5977, and 4628) could be used to distinguish DLBCL patients from healthy individuals with an accuracy of 95.89 % (70/73). The diagnostic pattern constructed using the support vector machine including the nine proteins of model 1, showed a maximum Youden’s Index. Model 2 formed by three protein peaks (m/z: 3942, 6639, and 4121) could be used to distinguish DLBCL patients from those with inflammatory lymphadenopathy with an accuracy of 94.12 % (48/51). Model 3 formed by six protein peaks could distinguish patients with inflammatory lymphadenopathy from healthy individuals with an accuracy of 97.92 % (47/48). Model 4 could be used to distinguish non-relapsed DLBCL patients from relapsed DLBCL patients with an accuracy of 84.78 % (78/92). The four patterns were validated by leave-one-out cross-validation. These data demonstrate that the CM10 ProteinChip and SELDI-TOF-MS approach combined with bioinformatics can be used effectively to screen for the differential protein expression profiles of DLBCL patients and to predict the response to therapy.

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Acknowledgments

This work was supported by the Youth Program of Natural Science Foundation of China (30901686); Zhejiang Provincial Natural Science Foundation of China (LQ13H160015 and LY14H160031); Research Program 2013KYB247 from Hygiene Bureau; Research Program Y201432699 and Y201225136 from the Education Bureau, Zhejiang Province, China; the National High Technology Research and Development Program of China (863 Program) (2012AA02A204); and the National Natural Science Foundation of China (Grant number: 81202097).

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Authors and Affiliations

  1. Department of Radiation Oncology, the Second Affiliated Hospital, Zhejiang University, College of Medicine, Hangzhou, Zhejiang, China

    Wenhong Xu & Qichun Wei

  2. Cancer Institute, the Second Affiliated Hospital, Zhejiang University, College of Medicine, Hangzhou, Zhejiang, China

    Wenhong Xu, Yue Hu, Xuexin He, Jun Li, Tao Pan, Hai Liu, Hong He, Weiting Ge, Jiekai Yu, Shu Zheng, Suzhan Zhang & Yiding Chen

  3. Clinical Laboratory, the Second Affiliated Hospital, Zhejiang University, College of Medicine, Hangzhou, Zhejiang, China

    Xianguo Wu

  4. Stomatology, the Affiliated Stomatology Hospital, Zhejiang University, College of Medicine, Hangzhou, Zhejiang, China

    Hong He

  5. Surgery Oncology, the Second Affiliated Hospital, Zhejiang University, College of Medicine, No. 88 Jiefang Road, 310009, Hangzhou, Zhejiang Province, China

    Yiding Chen

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  1. Wenhong Xu
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  2. Yue Hu
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  3. Xuexin He
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  4. Jun Li
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  5. Tao Pan
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  6. Hai Liu
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  7. Xianguo Wu
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  8. Hong He
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  9. Weiting Ge
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  10. Jiekai Yu
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  11. Qichun Wei
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  12. Shu Zheng
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  13. Suzhan Zhang
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  14. Yiding Chen
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Corresponding author

Correspondence to Yiding Chen.

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Xu, W., Hu, Y., He, X. et al. Serum profiling by mass spectrometry combined with bioinformatics for the biomarkers discovery in diffuse large B-cell lymphoma. Tumor Biol. 36, 2193–2199 (2015). https://doi.org/10.1007/s13277-014-2830-z

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  • DOI: https://doi.org/10.1007/s13277-014-2830-z

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