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Volatile metabonomic profiling in urine to detect novel biomarkers for B‑cell non‑Hodgkin's lymphoma

  • Authors:
    • Qingling Hua
    • Lin Wang
    • Chan Liu
    • Lingling Han
    • Yazhong Zhang
    • Hu Liu
  • View Affiliations / Copyright

    Affiliations: Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China, Department of Hematology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China, Department of Antibiotics, Anhui Institute For Food and Drug Control, Hefei, Anhui 230022, P.R. China
    Copyright: © Hua et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 7806-7816
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    Published online on: March 26, 2018
       https://doi.org/10.3892/ol.2018.8352
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Abstract

To date, there have been a limited number of useful biomarkers for the screening and monitoring of B‑cell non‑Hodgkin's lymphoma (B‑NHL), which leads to the impetus to discover novel biomarkers for the disease. In the present study, gas chromatography‑mass spectrometry (GC‑MS) combined with head‑space solid‑phase micro‑extraction (HS‑SPME) was employed to analyze the volatile metabolites in the urine samples of 131 subjects. The subjects were divided into 4 main groups: Aggressive B‑NHL, indolent B‑NHL, benign lymphatic diseases patients and healthy volunteers. The differences of the concentrations of the potential biomarkers among the groups were assessed by non‑parametric Wilcoxon's test. The ability of the potential biomarkers to discriminate between the four aforementioned groups was evaluated by receiver operating characteristic curves (ROC). The present study indicated that 4‑heptanone, 2‑methylpyrazine, 2‑methylbutanal, 2,6‑dimethyl‑7‑octen‑2‑ol and decanoic acid may serve as potential biomarkers for B‑NHL. The area under the curve (AUC) values of single potential biomarker ranged from 0.634 to 0.901. The diagnostic models established with combined biomarkers exhibited higher diagnostic values (AUC, 0.824‑0.968) compared with the models established with single biomarkers. The present study indicated that urinary volatile metabolites might be potential biomarkers for screening and monitoring of B‑NHL.
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Copy and paste a formatted citation
Spandidos Publications style
Hua Q, Wang L, Liu C, Han L, Zhang Y and Liu H: Volatile metabonomic profiling in urine to detect novel biomarkers for B‑cell non‑Hodgkin's lymphoma. Oncol Lett 15: 7806-7816, 2018.
APA
Hua, Q., Wang, L., Liu, C., Han, L., Zhang, Y., & Liu, H. (2018). Volatile metabonomic profiling in urine to detect novel biomarkers for B‑cell non‑Hodgkin's lymphoma. Oncology Letters, 15, 7806-7816. https://doi.org/10.3892/ol.2018.8352
MLA
Hua, Q., Wang, L., Liu, C., Han, L., Zhang, Y., Liu, H."Volatile metabonomic profiling in urine to detect novel biomarkers for B‑cell non‑Hodgkin's lymphoma". Oncology Letters 15.5 (2018): 7806-7816.
Chicago
Hua, Q., Wang, L., Liu, C., Han, L., Zhang, Y., Liu, H."Volatile metabonomic profiling in urine to detect novel biomarkers for B‑cell non‑Hodgkin's lymphoma". Oncology Letters 15, no. 5 (2018): 7806-7816. https://doi.org/10.3892/ol.2018.8352
Copy and paste a formatted citation
x
Spandidos Publications style
Hua Q, Wang L, Liu C, Han L, Zhang Y and Liu H: Volatile metabonomic profiling in urine to detect novel biomarkers for B‑cell non‑Hodgkin's lymphoma. Oncol Lett 15: 7806-7816, 2018.
APA
Hua, Q., Wang, L., Liu, C., Han, L., Zhang, Y., & Liu, H. (2018). Volatile metabonomic profiling in urine to detect novel biomarkers for B‑cell non‑Hodgkin's lymphoma. Oncology Letters, 15, 7806-7816. https://doi.org/10.3892/ol.2018.8352
MLA
Hua, Q., Wang, L., Liu, C., Han, L., Zhang, Y., Liu, H."Volatile metabonomic profiling in urine to detect novel biomarkers for B‑cell non‑Hodgkin's lymphoma". Oncology Letters 15.5 (2018): 7806-7816.
Chicago
Hua, Q., Wang, L., Liu, C., Han, L., Zhang, Y., Liu, H."Volatile metabonomic profiling in urine to detect novel biomarkers for B‑cell non‑Hodgkin's lymphoma". Oncology Letters 15, no. 5 (2018): 7806-7816. https://doi.org/10.3892/ol.2018.8352
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