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EVALUATION OF EXOSOME-DERIVED CircRNA EXPRESSION PATTERNS IN LUNG CANCER RADIOTHERAPY

Year 2022, , 51 - 51, 09.08.2022
https://doi.org/10.26650/JARHS2021-1136760

Abstract

Background: Radiotherapy is an effective method used in the treatment of lung cancer. However, it is very difficult to assess the clinical manifestations of
radiotherapy at an early stage and the relevant criteria are very limited. Exosome-derived circRNAs (exo-circRNAs) have potential as biomarkers for early
a cancer diagnosis and treatment assessment as exosomes are present in a variety of body fluids and circRNAs in exosomes exhibit high stability. Therefore,
we aimed to investigate for potential biomarker candidates by evaluating changes in exo-circRNA expression with radiotherapy in lung cancer.
Method: In this study, lung cancer epithelial (A549) and healthy lung fibroblast (WI38) cell lines were used. After colony assay, both cell lines were
irradiated with 4 Gy and exosomes were isolated by ultracentrifugation method. Exosomes were characterized by flow cytometry and nanoparticle tracking
analysis, and RNA isolation was performed by trizol protocol. Then, the expression levels of 40 exo-circRNAs in all groups were examined by RT-qPCR.
Results: Of the exosomal circRNA investigated, 5 exo-circRNAs were found to be expressed in at least one of the groups, including A549, WI38, irradiated
A549 and irradiated WI-38 cell lines. In particular, hsa_circ_0014235 and hsa_circ_0001900, which were found to be expressed in all groups, were more
upregulated in cancer cell lines than healthy cell line. Significant changes were detected in the expression levels of these exo-circRNAs after irradiation.
Conclusions: Differential expression of exo-circRNAs between cancer and healthy group and alterations by irradiation suggests that they may be potential
diagnostic and monitoring biomarkers in cancer.

References

  • Grozescu T, Popa F. Prostate cancer between prognosis and adequate/proper therapy. J Med Life. 2017;10(1):5-12

EVALUATION OF EXOSOME-DERIVED CircRNA EXPRESSION PATTERNS IN LUNG CANCER RADIOTHERAPY

Year 2022, , 51 - 51, 09.08.2022
https://doi.org/10.26650/JARHS2021-1136760

Abstract

Background: Radiotherapy is an effective method used in the treatment of lung cancer. However, it is very difficult to assess the clinical manifestations of radiotherapy at an early stage and the relevant criteria are very limited. Exosome-derived circRNAs (exo-circRNAs) have potential as biomarkers for early a cancer diagnosis and treatment assessment as exosomes are present in a variety of body fluids and circRNAs in exosomes exhibit high stability. Therefore, we aimed to investigate for potential biomarker candidates by evaluating changes in exo-circRNA expression with radiotherapy in lung cancer.
Method: In this study, lung cancer epithelial (A549) and healthy lung fibroblast (WI38) cell lines were used. After colony assay, both cell lines were irradiated with 4 Gy and exosomes were isolated by ultracentrifugation method. Exosomes were characterized by flow cytometry and nanoparticle tracking analysis, and RNA isolation was performed by trizol protocol. Then, the expression levels of 40 exo-circRNAs in all groups were examined by RT-qPCR.
Results: Of the exosomal circRNA investigated, 5 exo-circRNAs were found to be expressed in at least one of the groups, including A549, WI38, irradiated A549 and irradiated WI-38 cell lines. In particular, hsa_circ_0014235 and hsa_circ_0001900, which were found to be expressed in all groups, were more upregulated in cancer cell lines than healthy cell line. Significant changes were detected in the expression levels of these exo-circRNAs after irradiation.
Conclusions: Differential expression of exo-circRNAs between cancer and healthy group and alterations by irradiation suggests that they may be potential diagnostic and monitoring biomarkers in cancer.

References

  • Grozescu T, Popa F. Prostate cancer between prognosis and adequate/proper therapy. J Med Life. 2017;10(1):5-12
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Details

Primary Language English
Subjects Clinical Sciences
Journal Section Meeting Abstract
Authors

Saina Rahimi 0000-0002-5607-3933

Milad Asadi 0000-0001-7846-2908

Can Muftuoglu 0000-0002-9263-403X

Emin Tavlayan 0000-0003-0177-1571

Ozlem Ozkaya Akagunduz 0000-0002-5438-9969

Ufuk Mert 0000-0001-8162-5325

Ayse Caner 0000-0003-3058-9971

Publication Date August 9, 2022
Submission Date July 6, 2022
Published in Issue Year 2022

Cite

MLA Rahimi, Saina et al. “EVALUATION OF EXOSOME-DERIVED CircRNA EXPRESSION PATTERNS IN LUNG CANCER RADIOTHERAPY”. Sağlık Bilimlerinde İleri Araştırmalar Dergisi, vol. 5, no. S-1, 2022, pp. 51-51, doi:10.26650/JARHS2021-1136760.