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

doi:10.1007/s00432-011-1055-4

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 journal › Article › Academic › peer-review

Abstract

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 language	English
Pages (from-to)	1773-1783
Journal	Journal of Cancer Research and Clinical Oncology
Volume	137
Issue number	12
DOIs	https://doi.org/10.1007/s00432-011-1055-4
Publication status	Published - Dec 2011

Keywords

Breast cancer
Recurrence-free survival
Prognostic markers
Serum
Anion-exchange fractionation
SELDI-TOF MS

Access to Document

10.1007/s00432-011-1055-4Licence: CC BY-NC

Cite this

Gast, M.-C. W., Zapatka, M., van Tinteren, H., Bontenbal, M., Span, P. N., Tjan-Heijnen, V. C. G., Knol, J. C., Jimenez, C. R., Schellens, J. H. M., & Beijnen, J. H. (2011). Postoperative serum proteomic profiles may predict recurrence-free survival in high-risk primary breast cancer. Journal of Cancer Research and Clinical Oncology, 137(12), 1773-1783. https://doi.org/10.1007/s00432-011-1055-4

@article{9568ef0dfe6b4b36b40548b37d4241f1,

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

abstract = "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 ",

keywords = "Breast cancer, Recurrence-free survival, Prognostic markers, Serum, Anion-exchange fractionation, SELDI-TOF MS",

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

year = "2011",

month = dec,

doi = "10.1007/s00432-011-1055-4",

language = "English",

volume = "137",

pages = "1773--1783",

journal = "Journal of Cancer Research and Clinical Oncology",

issn = "0171-5216",

publisher = "Springer, Cham",

number = "12",

}

Gast, M-CW, Zapatka, M, van Tinteren, H, Bontenbal, M, Span, PN, Tjan-Heijnen, VCG, Knol, JC, Jimenez, CR, Schellens, JHM & Beijnen, JH 2011, 'Postoperative serum proteomic profiles may predict recurrence-free survival in high-risk primary breast cancer', Journal of Cancer Research and Clinical Oncology, vol. 137, no. 12, pp. 1773-1783. https://doi.org/10.1007/s00432-011-1055-4

TY - JOUR

T1 - Postoperative serum proteomic profiles may predict recurrence-free survival in high-risk primary breast cancer

AU - Gast, Marie-Christine W.

AU - Zapatka, Marc

AU - van Tinteren, Harm

AU - Bontenbal, Marijke

AU - Span, Paul N.

AU - Tjan-Heijnen, Vivianne C. G.

AU - Knol, Jaco C.

AU - Jimenez, Connie R.

AU - Schellens, Jan H. M.

AU - Beijnen, Jos H.

PY - 2011/12

Y1 - 2011/12

N2 - 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

AB - 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

KW - Breast cancer

KW - Recurrence-free survival

KW - Prognostic markers

KW - Serum

KW - Anion-exchange fractionation

KW - SELDI-TOF MS

U2 - 10.1007/s00432-011-1055-4

DO - 10.1007/s00432-011-1055-4

M3 - Article

C2 - 21913038

SN - 0171-5216

VL - 137

SP - 1773

EP - 1783

JO - Journal of Cancer Research and Clinical Oncology

JF - Journal of Cancer Research and Clinical Oncology

IS - 12

ER -

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

Abstract

Keywords

Access to Document

Fingerprint

Cite this