2012
DOI: 10.1186/1479-5876-10-121
|View full text |Cite
|
Sign up to set email alerts
|

Gene expression analysis of matched ovarian primary tumors and peritoneal metastasis

Abstract: BackgroundOvarian cancer is the most deadly gynecological cancer due to late diagnosis at advanced stage with major peritoneal involvement. To date most research has focused on primary tumor. However the prognosis is directly related to residual disease at the end of the treatment. Therefore it is mandatory to focus and study the biology of meatastatic disease that is most frequently localized to the peritoneal caivty in ovarian cancer.MethodsWe used high-density gene expression arrays to investigate gene expr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

4
22
0
1

Year Published

2013
2013
2020
2020

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 21 publications
(27 citation statements)
references
References 20 publications
4
22
0
1
Order By: Relevance
“…This is analogous to studies in liver, breast and colon cancer where cancer initiating cells demonstrate preferential phosphorylation of STAT3 (30, 37, 38). Interestingly, it has been reported that the JAK-STAT pathway is upregulated in metastatic ovarian cancer cells versus primary tissue (39) and we observed that in vivo inhibition of STAT3 phosphorylation with a JAK2 inhibitor was associated with near complete loss of metastasis. This strongly implicates this pathway, in ovarian cancer metastasis.…”
Section: Discussionmentioning
confidence: 51%
“…This is analogous to studies in liver, breast and colon cancer where cancer initiating cells demonstrate preferential phosphorylation of STAT3 (30, 37, 38). Interestingly, it has been reported that the JAK-STAT pathway is upregulated in metastatic ovarian cancer cells versus primary tissue (39) and we observed that in vivo inhibition of STAT3 phosphorylation with a JAK2 inhibitor was associated with near complete loss of metastasis. This strongly implicates this pathway, in ovarian cancer metastasis.…”
Section: Discussionmentioning
confidence: 51%
“…We applied the MASH scheme to paired tumour samples comparing primary tumour with metastatic/recurrent disease, including ascitic cells from the same patient. Intriguingly, regardless of the initial subtype of the primary ovarian tumour sample, the subsequent omental metastasis GSE30587 , peritoneum metastasis FRTLO and/or ascitic cells of patients (GSE94598) at recurrent disease consistently showed an increase in the percentage of Mes or Stem‐A subtype (Figure A). The same trend of Mes or Stem‐A enrichment was also seen in platinum‐resistant relapsed disease compared with the primary tumours in two separate independent cohorts, E‐MTAB‐611 and ICGC‐AOCS (see supplementary material, Supplementary materials and methods).…”
Section: Resultsmentioning
confidence: 98%
“…As reported in the table, the number of differentially expressed genes is less than one quarter of the number of differentially expressed circRNA candidates. This apparent large disparity between linear and circRNA differential expression is primarily due to a heterogeneous cancer transcriptome which often shows less reproducibility between patients and therefore masks any expression differences between the samples [7]. Nonetheless, circRNAs have a greater intracellular stability [21] due to their resistance to RNA exonucleases; therefore, they exhibit a robust expression pattern and may thus be more suitable candidates in identifying differences between primary tumor and metastatic lesions.…”
Section: Resultsmentioning
confidence: 99%
“…We have previously described copy number variation (CNV) and gene expression analysis of matched ovarian primary tumors and peritoneal metastases, and reported targeting of several specific pathways that play a role in ovarian cancer metastasis both at genomic and transcriptomic levels [7, 8]. Many other studies have also focused on delineating the gene expression signatures for disease prognosis and therapeutic responses [911].…”
Section: Introductionmentioning
confidence: 99%