Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer

Li, Chia-Jung; Lin, Lie Chwen; Chu, Pei-Yi; Chiang, An‐Jen; Tsai, Hsiao Wen; Chiu, Yi-Han; Huang, Mei-Shu; Wen, Zhi‐Hong; Tsui, Kuan‐Hao

doi:10.3390/jpm11040316

Cited by 20 publications

(10 citation statements)

References 41 publications

(35 reference statements)

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“…Interestingly, they found significantly higher expression of the CREB1 gene in OC as compared with normal ovarian tissue. The expression profile also determined overall survival, that is, the higher the expression level of CREB1 mRNA, the shorter the overall survival [ 104 ]. Similar observations were obtained from GENT2 analysis from TCGA RNA sequencing data.…”

Section: The Bioinformatics Prediction In Ovarian Cancermentioning

confidence: 99%

cAMP-Dependent Signaling and Ovarian Cancer

Kilanowska

Ziółkowska

Stasiak

et al. 2022

Cells

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cAMP-dependent pathway is one of the most significant signaling cascades in healthy and neoplastic ovarian cells. Working through its major effector proteins—PKA and EPAC—it regulates gene expression and many cellular functions. PKA promotes the phosphorylation of cAMP response element-binding protein (CREB) which mediates gene transcription, cell migration, mitochondrial homeostasis, cell proliferation, and death. EPAC, on the other hand, is involved in cell adhesion, binding, differentiation, and interaction between cell junctions. Ovarian cancer growth and metabolism largely depend on changes in the signal processing of the cAMP-PKA-CREB axis, often associated with neoplastic transformation, metastasis, proliferation, and inhibition of apoptosis. In addition, the intracellular level of cAMP also determines the course of other pathways including AKT, ERK, MAPK, and mTOR, that are hypo- or hyperactivated among patients with ovarian neoplasm. With this review, we summarize the current findings on cAMP signaling in the ovary and its association with carcinogenesis, multiplication, metastasis, and survival of cancer cells. Additionally, we indicate that targeting particular stages of cAMP-dependent processes might provide promising therapeutic opportunities for the effective management of patients with ovarian cancer.

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Section: The Bioinformatics Prediction In Ovarian Cancermentioning

confidence: 99%

cAMP-Dependent Signaling and Ovarian Cancer

Kilanowska

Ziółkowska

Stasiak

et al. 2022

Cells

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show abstract

“…The IHC staining and scoring in this study was the same as our previously published method. We analyzed OPA3 expression on tissue array slides (CJ2, SuperBioChips Laboratories, Korea) purchased from human ovarian cancer and measured and scored immunohistochemistry (IHC) as described in a previous publication [ 20 ]. To detect protein levels, in situ hybridization was performed with OPA3 antibody (A4995, ABclonal, MA, USA).…”

Section: Methodsmentioning

confidence: 99%

Expression status and prognostic significance of mitochondrial dynamics OPA3 in human ovarian cancer

Tsai

Lin

et al. 2022

Aging

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Early diagnosis of ovarian cancer and the discovery of prognostic markers can significantly improve survival and reduce mortality. OPA3 protein exists in a structure called mitochondria, which is the energy production center of cells, but its molecular and biological functions in ovarian cancer are still unclear. Here, the expression of OPA3 mRNA in ovarian cancer was estimated using TCGA, Oncomine, TIMER databases. We found that functional OPA3 activation caused by mutations and profound deletions predicted poor prognosis in OV patients. OPA3 was highly expressed in both OV tissues and cells compared to normal ovarian tissues/cells. High OPA3 expression is associated with poorer overall survival (OS). The association between OPA3 and immune infiltration of ovarian cancer was assessed by TIMER and CIBERSORT algorithms. OPA3 showed a strong correlation with various immune marker sets. Most importantly, pharmacogenetic analysis of OV cell lines revealed that OPA3 inactivation was associated with increased sensitivity to PFI-1, and WZ4003. Therefore, we investigated the clinical application of OPA3 to provide a basis for sensitive diagnosis, prognosis and targeted treatment of ovarian cancer.

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“…cBioPortal ( http://cis.hku.hk/TISIDB/ ) is a comprehensive website that allows exploration, visualization and analysis of multidimensional cancer genomic data [ 11 ]. We obtained the frequency of ABCA10 gene changes, mutation types and copy number changes in all tumors in TCGA through the "Cancer Type Summary" module of cBioPortal.…”

Section: Methodsmentioning

confidence: 99%

“…To identify potential drugs capable of mimicking ABCA10 activation, differentially expressed genes (DEGs) from ABCA10 overexpressing MCF7 cells were prepared using the R-based web application GEO2R [ 11 ]. The cMAP database collects drug-induced gene expression profiles from human cancer cell lines and can be used to compare similarities and differences between the expression of the input DEGs and drug-induced genes.…”

Section: Methodsmentioning

confidence: 99%

Downregulation of ATP binding cassette subfamily a member 10 acts as a prognostic factor associated with immune infiltration in breast cancer

Chu

Tzeng

Tsui

et al. 2022

Aging

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The human ATP binding cassette (ABC) family of transporter proteins plays an important role in the maintenance of homeostasis in vivo. The aim of this study is to evaluate the potential diagnostic, prognostic, and therapeutic value of the ABCA10 gene in BRCA. We found that ABCA10 expression was downregulated in different subgroups of breast cancer and strongly correlated with pathological stage in BRCA patients. Low expression of ABCA10 was associated with BRCA patients showing shorter overall survival (OS). ABCA10 expression may be regulated by promoter methylation, copy number variation (CNV) and kinase, and is associated with immune infiltration. Our study also demonstrated the potential role of ABCA10 modifications in tumor microenvironment (TME) cellular infiltration. Nevertheless, the regulatory mechanism remains unknown and immunotherapy is marginal in BRCA. We demonstrate the expression of different ABCA10 modulators in breast cancer associated with genetic variants, deletions, tumor mutation burden (TMB) and TME. Mutations in ABCA10 are positively associated with different immune cells in six different immune databases and play an important role in immune cell infiltration in breast cancer. Overall, this study provides evidence that ABCA10 could become the potential targets for precision treatment and new biomarkers in the prognosis of breast cancer.

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Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer

Cited by 20 publications

References 41 publications

cAMP-Dependent Signaling and Ovarian Cancer

cAMP-Dependent Signaling and Ovarian Cancer

Expression status and prognostic significance of mitochondrial dynamics OPA3 in human ovarian cancer

Downregulation of ATP binding cassette subfamily a member 10 acts as a prognostic factor associated with immune infiltration in breast cancer

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