Notch3 and Its Clinical Importance in Ovarian Cancer

Background: Ovarian cancer (OC) is the most prevalent gynecological malignancy in women, often diagnosed at an advanced stage due to the absence of specific clinical biomarkers. Notch signaling, particularly Notch3, is frequently activated in OC and contributes to its oncogenic role. Despite its known association with poor clinical outcomes, the biomarker potential of Notch3 remains inadequately explored. Methods: We investigated the biomarker potential of Notch3 in OC using multiple databases, including ONCOMINE, GEPIA, Human Protein Atlas, UALCAN, Kaplan–Meier Plotter, and LinkedOmics. We analyzed Notch3 expression levels, survival correlations, and clinicopathological parameters. Results: Notch3 expression was significantly upregulated in OC, as well as other cancers. Correlation analysis demonstrated that high Notch3 mRNA levels were associated with poor overall survival (OS) (p < 0.05) and relapse-free survival (p < 0.05) in OC patients. Human Protein Atlas data showed elevated Notch3 protein levels in OC tissues compared to healthy controls. Clinicopathological analysis indicated significant associations between Notch3 expression and patient age (p < 0.5), TP53 mutation status (p < 0.5), and cancer stage (p < 0.1). Additionally, genes such as WIZ, TET1, and CHD4 were found to be co-expressed with Notch3 in OC. Notch3 expression also correlated with immune cell infiltration in OC. Conclusions: Our bioinformatics analysis highlights Notch3 as a potential biomarker for poor prognosis in OC. However, further in vitro and in vivo studies, along with validation using larger tissue samples, are necessary to confirm its biomarker utility.

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Publication Details

Journal
Drugs and Drug Candidates
Published
2024-10-16
DOI
https://doi.org/10.3390/ddc3040040
Primary Topic
Kruppel-like factors research
Type
article
Field-Weighted Citation Impact
0.00
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article

Notch3 and Its Clinical Importance in Ovarian Cancer

Alisha Behera, Sahar Qazi, M. D. Ray, Subhadip Kundu et al.
Drugs and Drug Candidates
Kruppel-like factors research
article

Notch3 and Its Clinical Importance in Ovarian Cancer

Alisha Behera, Sahar Qazi, M. D. Ray, Subhadip Kundu, Babul Bansal, Bimal Prasad Jit, Ashok Sharma, Khushi Mittal
article en

Abstract

Background: Ovarian cancer (OC) is the most prevalent gynecological malignancy in women, often diagnosed at an advanced stage due to the absence of specific clinical biomarkers. Notch signaling, particularly Notch3, is frequently activated in OC and contributes to its oncogenic role. Despite its known association with poor clinical outcomes, the biomarker potential of Notch3 remains inadequately explored. Methods: We investigated the biomarker potential of Notch3 in OC using multiple databases, including ONCOMINE, GEPIA, Human Protein Atlas, UALCAN, Kaplan–Meier Plotter, and LinkedOmics. We analyzed Notch3 expression levels, survival correlations, and clinicopathological parameters. Results: Notch3 expression was significantly upregulated in OC, as well as other cancers. Correlation analysis demonstrated that high Notch3 mRNA levels were associated with poor overall survival (OS) (p < 0.05) and relapse-free survival (p < 0.05) in OC patients. Human Protein Atlas data showed elevated Notch3 protein levels in OC tissues compared to healthy controls. Clinicopathological analysis indicated significant associations between Notch3 expression and patient age (p < 0.5), TP53 mutation status (p < 0.5), and cancer stage (p < 0.1). Additionally, genes such as WIZ, TET1, and CHD4 were found to be co-expressed with Notch3 in OC. Notch3 expression also correlated with immune cell infiltration in OC. Conclusions: Our bioinformatics analysis highlights Notch3 as a potential biomarker for poor prognosis in OC. However, further in vitro and in vivo studies, along with validation using larger tissue samples, are necessary to confirm its biomarker utility.

Drugs and Drug CandidatesVol. 3(4)
Jamia Hamdard (IN), DR. B.R.A. Institute Rotary Cancer Hospital (IN), All India Institute of Medical Sciences (IN)
No poverty
Openalex Percentile: Top 84%
Kruppel-like factors research
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