Analysis on the correlation between urinary metabolite composition and clinical stage of ovarian cancer

Xiu Yu Hao, Ting Jiang, Xiao Jin Zhang, Pei Hai Zhang, Shan Shan Wang, Xiao Wang, Wen Xiang Bi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECTIVE: To analyze the correlation between metabolite composition of urine from patients with ovarian cancer and clinical stage.

METHODS: Urine specimens from 15 normal persons and 56 patients with primary epithelial ovarian cancer in Qilu Hospital of Shandong University were collected in the morning, and metabolites in them were extracted and detected with high performance liquid chromatography-mass spectrometry (HPLC-MS). Mass spectrometry data were analyzed with principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). Databases were used to identify the metabolites screened by PCA and PLS-DA. One-way ANOVA and the least significant difference (LSD) t-test were done.

RESULTS: Urine specimens were analyzed by HPLC-MS. PCA results showed that samples of health people and patients with ovarian cancer in different clinical stages presented a separation trend. The improved classification results could be got with PLS-DA. R2X=0.757, R2Y=0.977, Q2Y=0.87, which indicated that the model had good stability and predictability. The points selected with the combination of VIP value and correlation index were calculated using unpaired two-tailed student's t-test, and then the statistically significant points were identified with databases. The metabolites in urine that could reflect the metabolic differences among health people and patients with ovarian cancer in different clinical stages were screened out, which were N-acetylneuraminate-9-phosphate, 5'-methylthioadenosine, urate-3-ribonucleoside, pseudouridine, L-vainer, succinic acid, L-proline and β-nicotinamide mononucleotide. The contents of these metabolites in urine were significantly different among health people and patients with ovarian cancer in different clinical stages (P<0.05 or 0.01) and increased with the progression of ovarian cancer.

CONCLUSIONS: The urinary metabolite composition is different among patients with ovarian cancer in different clinical stages. There is a correlation between urinary metabolite composition and clinical stage of ovarian cancer.

Original languageEnglish
Pages (from-to)1628-1632
Number of pages5
JournalChinese Journal of Cancer Prevention and Treatment
Volume21
Issue number20
Publication statusPublished - 28 Oct 2014
Externally publishedYes

Keywords

  • High performance liquid chromatography-mass spectrometry
  • Metabolomics
  • Neoplasms staging
  • Ovarian neoplasms
  • Urine

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