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Updated: Jan 7, 2026

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
Published on: August 2, 2024
Role of EpCAM-Positive Exosomes in Ovarian Cancer: MiRNA Signatures of Chemoresistance and Disease Progression
Samruddhi Ranmale1, Pavan Kumar1, Hemant Tongaonkar2
1ICMR-National Institute for Research in Reproductive and Child Health, Mumbai, India.
Aim:
Ovarian cancer (OC) is a complex disease with challenges such as delayed diagnosis and development of chemoresistance. Exosomes play a crucial role in intercellular communication within the tumor microenvironment and have been reported to transmit drug-resistant traits and promote proliferation and metastasis. We aimed to investigate the role of exosomal miRNAs in OC, focusing on their involvement in chemoresistance, immune evasion, and metastasis.
Methods:
We investigated the expression levels of miR-182, miR-9, miR-130a, miR-20a, and miR-23b, which are implicated in chemoresistance, immune evasion, and metastasis in OC. We used real-time PCR to assess the expression of these miRNAs in different exosomal and non-exosomal fractions isolated from the serum of 20 chemo naive, 20 chemotreated, and 20 healthy women.
Results:
Our results revealed that ovarian tumors release higher levels of EpCAM-positive exosomes, which carry specific miRNAs that reflect the tumor's influence on the exosomal cargo. Elevated levels of miR-182, and miR-9 were found in EpCAM-positive exosomes from OC patients, with miR-182 being associated with disease relapse and the FIGO stage. In addition, miR-20a was found to be elevated in exosomes from chemotherapy-treated OC patients, indicating chemotherapy's impact on the exosomal miRNA profile. Notably, the miRNA expression in EpCAM-negative exosomes remained unchanged, highlighting the selective loading of miRNAs in EpCAM-positive exosomes.
Conclusion:
Overall, the study highlights a probable mechanism for miRNA packaging and release in OC through EpCAM-positive exosomes, offering potential biomarkers for monitoring disease progression and relapse.
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