Autoantibodies against stress-induced phosphoprotein-1 as a novel biomarker candidate for ovarian cancer

Sunghoon Kim, Han Byoul Cho, Eun Ji Nam, Sang Wun Kim, Young Tae Kim, Yong Won Park, Bo Wook Kim, Jae Hoon Kim

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)


Detection of autoantibodies against tumor-associated antigens (TAA) has recently been shown to be a powerful tool for early detection of various cancers. The aim of this study was to investigate the possibility of using autoantibodies against TAA as novel biomarkers by a proteomics-based approach in patients with ovarian cancer. We used two-dimensional differential gel electrophoresis analysis of immuno-precipitated tumor antigens (2D-DITA) to compare the levels of autoandibodies in pretreatment and posttreatment sera of patients with ovarian cancers. The identified autoantibodies were validated by SYBR Green real-time polymerase chain reaction (PCR) and immunohistochemistry (IHC). We further evaluated the level of autoantibody in sera of 68 ovarian cancer patients by an enzyme-linked immunosorbent assay (ELISA). The autoantibody directed against stress-induced phosphoprotein-1 (STIP-1) emerged as a novel biomarker candidate for ovarian cancer. SYBR Green PCR and IHC confirmed that the STIP-1 mRNA and protein expression levels were significantly upregulated in ovarian cancers compared with normal and benign tumors (P = 0.003 and P < 0.001, respectively). A preliminary ELISA study showed that the serum levels of anti-STIP-1 autoantibodies were significantly elevated in ovarian cancer patients compared with healthy controls (P = 0.03). The results suggest that 2D-DITA is a useful tool to detect autoantibodies and that STIP-1 is a potential biomarker candidate for ovarian cancers.

Original languageEnglish
Pages (from-to)585-595
Number of pages11
JournalGenes Chromosomes and Cancer
Issue number7
Publication statusPublished - 2010 Jul

All Science Journal Classification (ASJC) codes

  • Genetics
  • Cancer Research


Dive into the research topics of 'Autoantibodies against stress-induced phosphoprotein-1 as a novel biomarker candidate for ovarian cancer'. Together they form a unique fingerprint.

Cite this