Article Text

Download PDFPDF

230 Search for predictive biomarkers of sensitivity/resistance against cisplatin in high-grade serous ovarian cancer
  1. A Cortez1,
  2. A Glodek2,
  3. A Krzywon1,
  4. J Polanska2 and
  5. KM Lisowska1
  1. 1Maria Sklodowska-Curie National Research Institute Of Oncology Gliwice Branch, Poland
  2. 2Silesian University of Technology, Poland


Our aim was to search for potential predictive biomarker(s) of cisplatin resistance in high-grade serous ovarian cancer (HGSOC). We have re-analyzed the data published by Koti et al.1

Data encompassed 28 HGSOC gene expression profiles obtained using Affymetrix U133-Plus-2.0-GeneChips. Based on progression free survival (PFS) after first-line chemotherapy, 16 samples were classified as platinum-sensitive (PFS>18 months), 12 as platinum-resistant (PFS<6). Data was filtered using Gaussian Mixture Modeling decomposition,2 in order to select transcripts that were characterized by large value of variance. Normality of data distribution was checked with Shapiro-Wilk test. Because of non-normal distribution U Mann-Whitney Test was performed and U Mann Whitney effect size was calculated for up- and down-regulated transcripts. Transcripts with p-values<0,001 and large or very large effect size were considered significant.

Our approach resulted in 356 probe-sets. Based on literature review we selected 40 potential candidate biomarkers for further validation. Selected probe-sets correspond to proteins related with mitochondrial function, nuclear- and cellular-membrane transport, that are processes related with drug resistance.

Our computational approach resulted in a larger list of probe-sets than that of Koti et al.1 In our opinion, their analysis suffered from the combination of parametric and non-parametric tests, inappropriately used for the data with non-normal distribution. Using non-parametric test suited for non-normal distributed dataset and analysis of effect size allowed to receive more reliable results, although selected candidate biomarkers must be further validated.

A.J.Cortez and A.Glodek were co-financed by the EU through the European Social Fund (grant-POWR.03.02.00-00-I029).


  1. Koti M, et al. 2013, DOI:10.1186/1471-2407-13-549

  2. Polanski A, et al. 2015, DOI:10.1371/journal.pone.0134256

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.