Evidence map›Paper›PMID 36367588›Full record

ArticleMedical molecular morphology2023

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

Masanori Someya, Tomokazu Hasegawa, Takaaki Tsuchiya, Mio Kitagawa, Yuki Fukushima, Toshio Gocho, Shoh Mafune, Yutaro Ikeuchi, Yoh Kozuka, Masashi Idogawa and 6 more

Abstract read
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In one paragraph

Article in Medical molecular morphology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Therapy resistance-related ncRNAs in cervical cancer: biomarkers and therapeutic targets.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Masanori SomeyaDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan. someya@sapmed.ac.jp.ORCID http://orcid.org/0000-0001-8821-7754
Tomokazu HasegawaDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan.
Takaaki TsuchiyaDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan.
Mio KitagawaDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan.
Yuki FukushimaDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan.
Toshio GochoDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan.
Shoh MafuneDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan.
Yutaro IkeuchiDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan.
Yoh KozukaDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan.
Masashi IdogawaDepartment of Medical Genome Sciences, Research Institute for Frontier Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan.
Yoshihiko HirohashiDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Toshihiko TorigoeDepartment of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Masahiro IwasakiDepartment of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Motoki MatsuuraDepartment of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Tsuyoshi SaitoDepartment of Obstetrics and Gynecology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Koh-Ichi SakataDepartment of Radiology, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, 060-8543, Japan.
Sapporo Medical University · JP

Funding

Japan Society for the Promotion of Science 19K17174Japan Society for the Promotion of Science 20K16764Japan Society for the Promotion of Science 21K07648Japan Society for the Promotion of Science 21K07680Japan Society for the Promotion of Science 22K07671
6 · The paper itself

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.

Indexed as

MicroRNAsUterine Cervical NeoplasmsBiomarkersBiomarkers, TumorChemoradiotherapyFemaleHumansBiomarkersBiomarkers, TumorMicroRNAsCD8Cervical cancerExosomeForkhead box P3microRNARadiotherapyTumor immunity

Identifiers

PMID36367588
OpenAlexW4308770593

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.