Evidence map›Paper›PMID 35116795›Full record

ArticleTranslational cancer research2019

Cisplatin chemotherapy-induced miRNA-210 signaling inhibits hepatocellular carcinoma cell growth.

Huan Yu, Guangyue Shi

Open access · diamondAbstract read
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Article in Translational cancer research, 2019. 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
–field-weighted citation impact, top 77% 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

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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, 4 citations in OpenAlex.

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4 · The record

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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

2 authors at 2 institutions in 1 country.

Huan YuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Renal Cancer and Melanoma, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Guangyue ShiDepartment of Medical Oncology, the Affiliated Tumor Hospital, Harbin Medical University, Harbin 150001, China.
Harbin Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapy has improved the survival of hepatocellular carcinoma (HCC) patients, but the underlying mechanisms are still not fully understood. MicroRNAs (miRNAs) are critical regulators in carcinogenesis and involved in response to cancer therapy. However, the correlation between miRNAs and chemotherapy is not well-established, and the detailed mechanisms and responsive targets remain unclear. Here, we investigated the function and mechanism of miR-210 in HCC chemotherapy with cisplatin.

methodsThis study involved samples from patients after HCC surgery, including tumor and non-tumor liver tissues. Total RNA was extracted from the fresh tissue samples and the levels of miR-210 were assessed by qRT-PCR analysis. Cisplatin treatment was performed in HepG2 and PLC cell lines, and ephrin A3 (EFNA3) levels were determined by Western blotting.

resultsWe observed that miR-210 expression was up-regulated in HCC tissues and correlated with HCC progression. Notably, HCC patients underwent recurrences after chemotherapy showed high levels of miR-210 expression in tumors, indicating that miR-210 might be involved in regulating the chemotherapeutic efficacy. We also demonstrated that cisplatin treatment decreased the expression of miR-210 and increased the expression of miR-210 target EFNA3 in HCC cells. Moreover, miR-210 overexpression prevented the effects of cisplatin and rescued HCC cell growth, and miR-210 inhibition contributed to improved chemosensitivity of cisplatin in HCC cells.

conclusionsOur findings defined a novel mechanism underlying the efficacious effects of cisplatin chemotherapy in HCC, and miR-210-induced EFNA3 signaling might be a potential target of cisplatin in HCC treatment.

Indexed as

chemotherapycisplatinephrin A3 (EFNA3)hepatocellular carcinoma (HCC)MicroRNA-210 (miRNA-210)recurrence

Identifiers

PMID35116795
PMCPMC8799276
OpenAlexW4232847468

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.