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Predictive value of an exosomal microRNA-based signature for tumor immunity in cervical cancer patients treated with chemoradiotherapy

Authors :
Masanori Someya
Tomokazu Hasegawa
Takaaki Tsuchiya
Mio Kitagawa
Yuki Fukushima
Toshio Gocho
Shoh Mafune
Yutaro Ikeuchi
Yoh Kozuka
Masashi Idogawa
Yoshihiko Hirohashi
Toshihiko Torigoe
Masahiro Iwasaki
Motoki Matsuura
Tsuyoshi Saito
Koh-ichi Sakata
Source :
Medical Molecular Morphology. 56:38-45
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

Resistance of cervical cancer to radiotherapy with concurrent chemotherapy (CCRT) results in a poor prognosis. To identify new biomarkers for predicting the treatment response and prognosis, we explored exosomal microRNA (miRNA) expression signatures associated with the outcome of cervical cancer patients treated with CCRT. Exosomes were isolated from the plasma of 45 patients prior to CCRT during 2014-2020, and miRNA analysis was performed by next-generation sequencing. At a median follow-up of 38 months, 26 patients were recurrence free, 15 patients had died of the disease, and 4 patients received salvage chemotherapy due to distant metastasis. Of the 2522 miRNAs detected, 9 (miR-148a-5p, 1915-3p, 3960, 183-5p, 196b-5p, 200c-3p, 182-5p, 374a-5p, and 431-5p) showed differential expression between the recurrence-free and recurrence groups. Patients were divided into high- and low-risk groups according to the cutoff of the miRNAs-based risk score calculated from respective expression levels. The high-risk group had significantly worse disease-specific survival than the low-risk group (p 0.001). In addition, miR-374a-5p and miR-431-5p expression showed a weak inverse correlation with tumor-infiltrating CD8+ and FOXP3+ T cells, suggesting a potential inhibitory effect on CCRT by suppressing tumor immunity. This miRNA signature could improve non-invasive monitoring and personalized treatment for cervical cancer.

Details

ISSN :
18601499 and 18601480
Volume :
56
Database :
OpenAIRE
Journal :
Medical Molecular Morphology
Accession number :
edsair.doi.dedup.....010956f203e7905a07e5e6889bd48acf
Full Text :
https://doi.org/10.1007/s00795-022-00338-5