Evidence map›Paper›PMID 36093520›Full record

ArticleTranslational cancer research2022

MicroRNA expression profiles in extracellular vesicles and intracellular of AURKA inhibitor-induced senescent neuroblastoma cells.

Xuefeng Zhou, Qi Zhou, Di Zhou, Fen Li, Chunyan Zhang, Yan Yang

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

6 authors at 2 institutions in 1 country.

Xuefeng ZhouDepartment of Pediatric Surgery of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qi ZhouExperimental Medicine Center of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Di ZhouExperimental Medicine Center of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Fen LiExperimental Medicine Center of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chunyan ZhangExperimental Medicine Center of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan YangExperimental Medicine Center of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tongji Hospital · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Therapy-induced senescence plays an important role in the clinical treatment of tumors, which is positively correlated with the treatment response. However, senescent cells reshape tumor microenvironment and increase the risk of cancer recurrence. Regarded as hormones to regulate cell-to-cell communication, microRNA (miRNA) is highly sensitive to environmental stress. To understand the response of tumor cells to chemotherapeutic drugs, miRNAs in chemotherapy-induced senescent cells and their secreted extracellular vehicles (EVs) were detected and the miRNA profiles were analyzed, hoping to provide some thoughts for the evaluation of chemotherapy effect in clinical tumor treatment. Methods: Neuroblastoma cell line IMR32 was treated with low concentration of aurora kinase A (AURKA) inhibitor MLN8237 to establish a cell senescence model. RNAs were extracted from senescent cells and extracellular vesicles, and miRNA spectrum was investigated by small RNA deep sequencing. Results: Thirteen miRNAs including miR-378b and miR-206 were significantly increased, whereas 32 miRNAs including miR-205-5p, miR-378d, and miR-378f were significantly decreased in the senescence cell group. In senescent cells secreted extracellular vesicles, there were 48 of up-regulated miRNAs including miR-205-5p and 9 of down-regulated miRNAs. Bioinformatics analysis revealed that these differentially expressed miRNAs in senescent cells may potentially regulate many common target genes which belong to the metabolic signaling pathway and transcriptional misregulation in cancer. Conclusions: The expression profiles of miRNA in senescent neuroblastoma cells and extracellular vesicles were altered, and the differentially expressed miRNAs were mostly involved in cellular metabolic pathways. The information decryption can provide reference for clinical interpretation of the phenomenon of therapy-induced senescence.

Indexed as

Cell senescencedeep sequencingextracellular vesiclemicroRNA (miRNA)

Identifiers

PMID36093520
PMCPMC9459525
OpenAlexW4285525226

What OpenQuestion holds

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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.