Ridvan Seckin Ozen

Dr. Ridvan Seckin Ozen


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 May 2025 in Cancers
Verified
Journal Article
Open access
PDF file
amir monfaredanamir monfaredan
amir monfaredan
SSSena Sen
Sena Sen
ANalavieh sadat hosseini nasab
alavieh sadat hosseini nasab
DTDidem Tastekin
Didem Tastekin
GFGhazaleh Fazli
Ghazaleh Fazli
RORidvan Seckin Ozen
Ridvan Seckin Ozen
Background/Objectives: Glioblastoma is a highly aggressive brain tumor with limited treatment options and poor prognosis. Signal Transducer and Activator of Transcription 3 (STAT3) plays a crucial role in glioblastoma progression, making it a promising therapeutic target. However, effective delivery of STAT3-silencing agents across the blood–brain barrier remains a significant challenge. This study evaluates the efficacy of Lipid Nanoparticles-EXOSOME COMPLEX STAT3-silencer treatment in reducing glioblastoma tumor growth by facilitating efficient small interfering RNA delivery and inhibiting STAT3 expression. Methods: A novel exosome-based drug delivery system was developed using NLP-EXOSOME COMPLEX nanoparticles loaded with STAT3-silencer siRNA. The therapeutic efficacy was assessed in vitro using human glioblastoma cell lines and in vivo using a glioblastoma mouse model. Tumor progression, STAT3 expression levels, and survival rates were analyzed. Results: The results demonstrated that Lipid Nanoparticles-EXOSOME COMPLEX effectively transported STAT3-silencer siRNA into glioblastoma cells, leading to significant STAT3 downregulation. This resulted in reduced tumor proliferation, increased apoptosis, and extended survival in vivo. The combination of lipid nanoparticles and exosomes provided a stable and efficient delivery mechanism with improved uptake and therapeutic efficacy. Conclusion: Lipid Nanoparticles-EXOSOME COMPLEX STAT3-silencer treatment offers a promising approach for targeted glioblastoma therapy by overcoming the blood–brain barrier limitations and enhancing STAT3 inhibition. Further research is necessary to optimize long-term efficacy, assess potential immune responses, and explore combinatory therapeutic strategies for improved patient outcomes.

5 February 2026 in Journal of Assisted Reproduction and Genetics
Verified
Journal Article
Closed access
PDF file
OOOzlem Okutman
Ozlem Okutman
ASAsma Sassi
Asma Sassi
ASAhmet Salvarci
Ahmet Salvarci
SLSophie Lambert
Sophie Lambert
CBCécile Brachet
Cécile Brachet
SVStéphane Viville
Stéphane Viville

2 February 2026 in Diagnostics
Verified
Journal Article
Open access
PDF file
amir monfaredanamir monfaredan
amir monfaredan
SSSena Sen
Sena Sen
AGArash Adamnejad Ghafour
Arash Adamnejad Ghafour
EÇEbru Cingöz Çapan
Ebru Cingöz Çapan
MÇMuhammed Ertuğrul Çapan
Muhammed Ertuğrul Çapan
OOOral Oncul
Oral Oncul
Background/Objectives: Cell-free DNA (cfDNA) is a valuable biomarker for cancer diagnosis and therapy monitoring; however, its low abundance and fragmented nature present major challenges for reliable isolation, particularly from limited plasma volumes. Here, we report the development and evaluation of a novel magnetically assisted microfluidic chip with a three-inlet design for efficient cfDNA extraction from small-volume plasma samples. Methods: The platform enables controlled infusion of plasma, lysis buffer, and magnetic nanoparticle suspensions at defined flow rates. An external magnetic field selectively captures cfDNA-bound nanoparticles while efficiently removing background impurities. Results: Direct comparison with two in vitro diagnostic (IVD)-certified commercial cfDNA extraction kits showed that the microfluidic system achieved comparable cfDNA yields at standard plasma volumes and superior performance at reduced input volumes. High DNA purity and integrity were confirmed by quantitative PCR amplification of a housekeeping gene and clinically relevant targets. The complete workflow required approximately 9 min, used minimal equipment, reduced contamination risk, and enabled rapid processing with future potential for parallel multi-chip configurations. Conclusions: These findings establish the proposed microfluidic platform as a rapid, reproducible, and scalable alternative to conventional cfDNA extraction methods. By significantly improving recovery efficiency from small plasma volumes, the system enhances the clinical feasibility of liquid biopsy applications in cancer diagnostics and precision medicine.