hla-g expression is an independent predictor for improved survival in high grade ovarian carcinomas

Clicks: 207
ID: 155476
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #62 of 150 articles by views in journal of photochemistry and photobiology b, biology

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 150 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Aberrant expression of human leukocyte antigens (HLA) class I has prognostic importance in various cancers. Here, we evaluated the prognostic value of classical (A/B/C) and nonclassical (G/E) HLA expression in 169 high grade epithelial ovarian cancer samples and linked that to clinicopathological characteristics and survival. Expression of HLA-A, -B/C, or -E was not correlated with survival. Survival was prolonged when tumours expressed HLA-G (P=0.008) and HLA-G was an independent predictor for better survival (P=0.011). In addition, HLA-G expression was associated with longer progression-free survival (P=0.036) and response to chemotherapy (P=0.014). Accordingly, high expression of HLA-G mRNA was associated with prolonged disease-free survival (P=0.037) in 65 corresponding samples. Elevated serum-soluble HLA-G levels as measured by enzyme-linked immunosorbent assay in 50 matched patients were not correlated to HLA-G protein expression or gene expression nor with survival. During treatment, sHLA-G levels declined (P=0.038). In conclusion, expression of HLA-G is an independent prognostic factor for improved survival in high grade epithelial ovarian cancer and a predictor for platinum sensitivity.
Reference Key
rutten2014journalhla-g Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;M. J. Rutten;F. Dijk;C. D. Savci-Heijink;M. R. Buist;G. G. Kenter;M. J. van de Vijver;E. S. Jordanova
Journal journal of photochemistry and photobiology b, biology
Year 2014
DOI
10.1155/2014/274584
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.