Evidence map›Paper›PMID 32783497›Full record

ArticleCell cycle (Georgetown, Tex.)2020

Feedback activation of GATA1/miR-885-5p/PLIN3 pathway decreases sunitinib sensitivity in clear cell renal cell carcinoma.

Dayong Yao, Shunyao Xia, Chengjun Jin, Weiming Zhao, Wenjia Lan, Zan Liu, Youcheng Xiu

Open access · bronzeAbstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

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  9. PGC-1Acta pharmaceutica Sinica. B · 2024
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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

7 authors at 2 institutions in 1 country.

Dayong YaoDepartment of Urology, The First Affiliated Hospital of Harbin Medical University , Harbin, China.
Shunyao XiaDepartment of Urology, The First Affiliated Hospital of Harbin Medical University , Harbin, China.
Chengjun JinDepartment of Urology, The First Affiliated Hospital of Harbin Medical University , Harbin, China.
Weiming ZhaoDepartment of Urology, The First Affiliated Hospital of Harbin Medical University , Harbin, China.
Wenjia LanCentral Laboratory of Hematology and Oncology, The First Affiliated Hospital of Harbin Medical University , Harbin, China.
Zan LiuDepartment of Urology, The First Affiliated Hospital of Harbin Medical University , Harbin, China.
Youcheng XiuDepartment of Urology, The First Affiliated Hospital of Harbin Medical University , Harbin, China.
Harbin Medical University · CNFirst Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sunitinib is the most commonly used first-line therapy for the treatment of advanced renal cell carcinoma (RCC), but intrinsic and extrinsic resistance to targeted therapies dramatically compromise the benefit of clinical outcome. Dissecting the underlying mechanisms and discovering reliable predictive biomarkers are urgently needed in clinic. Here, we discovered miR-885-5p was notably decreased after sunitinib treatment and associated with poor disease progression in clear cell renal cell carcinoma (ccRCC).

Indexed as

Feedback, PhysiologicalAnimalsBase SequenceCarcinoma, Renal CellCell Line, TumorDown-RegulationDrug Resistance, NeoplasmFemaleGATA1 Transcription FactorGene Expression Regulation, NeoplasticHumansKidney NeoplasmsLipid DropletsMaleMice, Inbred BALB CMice, NudeGATA1 Transcription FactorMicroRNAsMIRN885 microRNA, humanPerilipin-3PLIN3 protein, humanSunitinibmiR-885-5pRCCsunitinib

Identifiers

PMID32783497
PMCPMC7513838
OpenAlexW3048860997

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.