scholarly journals Bioinformatic Analysis of Diagnosis, Targeted Therapeutic Values and Potential Regulatory Network of FOXF1 in Ovarian Cancer

Author(s):  
Xiang Zhang ◽  
Jianhong Chen ◽  
Fangfang Wang ◽  
Meng Zhang ◽  
Jiping Liu

Abstract Background: FOXF1 acts a crucial part to tumor initiation and progression. In this study, we aimed to analyzed FOXF1 in ovarian cancer from different databases which showed diagnosis and targeted therapeutic values.Results: The expression of FOXF1 in ovarian cancer tissue was markedly lower than that in normal tissue. Among different tumor subgroups, FOXF1 expression was conspicuously lower in higher grade stage. Additionally, FOXF1 expression and genetic variations were significantly correlated with various immune infiltrating cells. Altogether, 2594 co-expressed genes evidently pertinent to FOXF1. These genes were correlated with cell adhesion, NADH dehydrogenase complex and cytokine binding in results of enrichment analysis. In addition, FOXF1 was associated with gene networks regulated by PRKG1, miR-151, and SRF respectively. CMap analysis screened several potential small molecules for ovarian cancer treatment.Conclusions: FOXF1 has been shown to be a vital biomarker for the diagnosis of ovarian cancer and the immune infiltrating levels. The small molecules screened here supply rationale for new drug development for ovarian cancer.

2021 ◽  
Author(s):  
Pengfei Zhao ◽  
Qingru Yun ◽  
Aodungerile Li ◽  
Rong Li ◽  
Yali Yan ◽  
...  

Abstract Current studies have demonstrated that significant increased LPA levels to be observed in ascites in patients with ovarian cancer. Although several studies have shown that Lysophosphatidic acid (LPA) related to the progression of ovarian cancer, which LPA receptors (LPARs) and G coupled protein subtypes mediated in LPA actions have not been clearly elucidated. This study aimed to clarify the roles of LPA and it’s subtype-specific LPARs mediating mechanisms in ovarian cancer by integrated using bioinformatic analysis and biological experimental approaches. The big data analysis shown that LPA3 was the only differentially expressed LPA receptor among the six LPARs in ovarian cancer and further verified in immunohistochemistry of tissue microarrays. Also found that LPA3 was also highly expressed in ovarian cancer tissue and ovarian cancer cells. Importantly, LPA significantly promoted the proliferation and migration of LPA3-overexpressing ovarian cancer cells, while the LPA-induced actions blocked by Ki16425, a LPAR1/3 antagonist treated, and LPA3-shRNA transfected. In vivo study indicated that the LPA3-overexpressing cell derived tumors metastasis, tumors volume and tumors mass were apparently increased in xenografted nude mice. In addition, we also observed that LPA3 was differential high-expression in ovarian cancer tissue of the patients. Our studies further confirmed the LPA3/Gi/MAPKs/NF-κB signals were involved in LPA-induced oncogenic actions in ovarian cancer cells. Our findings indicated that the LPA3 might be a novel precise therapeutic target and potential biomarker for ovarian cancer.


2013 ◽  
Vol 3 ◽  
pp. 223-227
Author(s):  
Ewelina Rogala ◽  
Aldona Nowicka ◽  
Wiesława Bednarek ◽  
Bartłomiej Barczyński ◽  
Wanda Piekarczyk ◽  
...  

Author(s):  
Isabelle Cadron ◽  
Toon Van Gorp ◽  
Philippe Moerman ◽  
Etienne Waelkens ◽  
Ignace Vergote

2007 ◽  
Vol 17 (1) ◽  
pp. 94-100 ◽  
Author(s):  
K. Galaal ◽  
M. Meirovitz ◽  
R. Hussain ◽  
L. Allcroft ◽  
N. Sullivan ◽  
...  

The purpose of this study was to assess the feasibility of establishing a library of ovarian cancer nucleic acids using paper matrix by: 1) confirming the stability of DNA stored on paper matrix over a prolonged period of time, 2) determining the amount of genetic material required for storage, and 3) establishing the stability of RNA. Tumor tissue from 66 patients with ovarian cancer was collected intraoperatively, frozen, and dissociated with collagenase and trypsin. A cell suspension was then prepared and spotted onto the paper. The numbers of cells that were stored on the paper were counted using a hemocytometer. The cell suspension was serially diluted and spotted on the paper matrix until the minimum cell number that can be stored and produce a PCR product was determined. PCR, STR genotyping and direct sequencing were performed on tissue stored on the paper matrix. FTA® paper was used as RNA template, and RT PCR converted the RNA to cDNA. Ten to 50 mg of ovarian cancer tissue was stored on FTA® paper. We stored 7 × 104 cells on ISOcode® paper and 18 × 104 cells on FTA® and obtained extractable DNA. PCR analysis on cards with DNA stored 18 months ago enabled us to establish the stability of DNA after storage. RNA was stable for 6 months when stored on FTA® cards. Since genetic material is extractable from the paper matrices after passage of time, it could be a suitable medium for the storage of genetic material in cancer tissue banks.


1998 ◽  
Vol 9 (1) ◽  
pp. 70
Author(s):  
Jong Hyeok Kim ◽  
Jun Hee Na ◽  
Myung Hee Lee ◽  
Jae Young Um ◽  
Yong Man Kim ◽  
...  

2018 ◽  
Vol 421 ◽  
pp. 51-58 ◽  
Author(s):  
Carmela Ricciardelli ◽  
Noor A. Lokman ◽  
Ilhamjan Sabit ◽  
Kavyadharshini Gunasegaran ◽  
Wendy M. Bonner ◽  
...  

2020 ◽  
Author(s):  
Naoko Sasamoto ◽  
Mary Townsend ◽  
Farnoosh Abbas-Aghababazadeh ◽  
Kathryn L. Terry ◽  
Joseph O. Johnson ◽  
...  

2006 ◽  
Vol 38 (5) ◽  
pp. 549-554 ◽  
Author(s):  
Martin C. Löning ◽  
Heyke C. Diddens ◽  
Konstanze Holl-Ulrich ◽  
Uta Löning ◽  
Wolfgang Küpker ◽  
...  

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