Postoperative serum proteomic profiles may predict recurrence-free survival in high-risk primary breast cancer

Marie-Christine W. Gast*, Marc Zapatka, Harm van Tinteren, Marijke Bontenbal, Paul N. Span, Vivianne C. G. Tjan-Heijnen, Jaco C. Knol, Connie R. Jimenez, Jan H. M. Schellens, Jos H. Beijnen

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Web of Science)


Purpose Better breast cancer prognostication may improve selection of patients for adjuvant therapy. We conducted a retrospective longitudinal study in which we investigated sera of high-risk primary breast cancer patients, to search for proteins predictive of recurrence-free survival. Methods Sera of 82 breast cancer patients obtained after surgery, but prior to the administration of adjuvant therapy, were fractionated using anion-exchange chromatography, to facilitate the detection of the low-abundant serum peptides. Selected fractions were subsequently analysed by surface-enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF MS), and the resulting protein profiles were searched for prognostic markers by appropriate bioinformatics tools. Results Four peak clusters (i.e. m/z 3073, m/z 3274, m/z 4405 and m/z 7973) were found to bear significant prognostic value (P
Original languageEnglish
Pages (from-to)1773-1783
JournalJournal of Cancer Research and Clinical Oncology
Issue number12
Publication statusPublished - Dec 2011


  • Breast cancer
  • Recurrence-free survival
  • Prognostic markers
  • Serum
  • Anion-exchange fractionation

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