Evidence map›Paper›PMID 39075471›Full record

ArticleBMC cancer2024

Investigating miR-6880-5p in extracellular vesicle from plasma as a prognostic biomarker in endocrine therapy-treated castration-resistant prostate cancer.

Jimin Lee, Jinhwa Hong, Ju Won Kim, Soonyoung Lim, Seung-Cheol Choi, Jeong-An Gim, Sung Gu Kang, Tae Il Noh, Kyong Hwa Park

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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

9 authors.

Jimin LeeDivision of Oncology/Hematology, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea.
Jinhwa HongDivision of Oncology/Hematology, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea.
Ju Won KimDivision of Oncology/Hematology, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea.
Soonyoung LimDivision of Oncology/Hematology, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea.
Seung-Cheol ChoiR&D Center for Companion Diagnostic, SOL Bio Corporation, Suite 510, 27, Seongsui-ro7-gil, Seongdong-gu, Seoul, 04780, Republic of Korea.
Jeong-An GimMedical Science Research Center, College of Medicine, Korea University Guro Hospital, Seoul, 08308, Republic of Korea.
Sung Gu KangDepartment of Urology, College of Medicine, Korea University Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea.
Tae Il NohDepartment of Urology, College of Medicine, Korea University Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea.
Kyong Hwa ParkDivision of Oncology/Hematology, Department of Internal Medicine, College of Medicine, Korea University Anam Hospital, 73, Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea. khpark@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvancements in the diagnosis, treatment, and surveillance of castration-resistant prostate cancer (CRPC) have progressed considerably, but a new biomarker that combines existing clinical and pathological data could be useful for a more precise diagnosis and prognosis. Some investigations have found that extracellular vesicle (EV)-derived miRNAs play crucial roles in various types of malignant tumors. The objective of this study was to explore EV miRNA and identify its biologic function as a biomarker for the diagnosis and prognosis of CRPC.

methodsPlasma samples were collected from five healthy donors (Control, CT) and 17 CRPC patients, categorizing into two groups based on their endocrine treatment response: partial response (PR; n = 10) and progressive disease (PD; n = 7). Candidate extracellular vesicle (EV) miRNAs were identified using miRNA microarray and RT-qPCR. The biological functions of the selected miRNAs were evaluated using the MTT assay, wound healing assay, trans-well assay, and RNA sequencing in CRPC cells after transient miRNA expression.

resultsMicroarray analysis revealed a significant downregulation of EV-miR-6880-5p in the PD samples compared to both CT and PR samples (p < 0.01). The expression of EV-miR-6880-5p in CRPC patients was decreased compared with that CT group (p = 0.0336) using RT-qPCR. In the PR group, EV-miR-6880-5p was increased at follow-up compared with the baseline (p = 0.2803), while in the PD group, it decreased at follow-up compared with the baseline samples (p = 0.4356). Furthermore, overexpression of miR-6880-5p hampered cell proliferation, migration, and invasion, downregulated pathways associated with tumor progression, and simultaneously upregulated pathways associated with cell growth and apoptosis in CRPC cells.

conclusionsEV-miR-6880-5p shows promise as a prognostic biomarker in patients with CRPC. Further, prospective validations are necessary to evaluate the potential of these candidate miRNAs.

Indexed as

Biomarkers, TumorExtracellular VesiclesGene Expression Regulation, NeoplasticMicroRNAsProstatic Neoplasms, Castration-ResistantAgedCell Line, TumorCell MovementCell ProliferationGene Expression ProfilingHumansMaleMiddle AgedPrognosisBiomarkers, TumorMicroRNAsBiomarkersCastration-ResistantExtracellular VesiclesMicroRNAsProstatic Neoplasmas

Identifiers

PMID39075471
PMCPMC11285227

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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.