Evidence map›Paper›PMID 34503211›Full record

ArticleCancers2021

Integrated mRNA and miRNA Transcriptomic Analyses Reveals Divergent Mechanisms of Sunitinib Resistance in Clear Cell Renal Cell Carcinoma (ccRCC).

María Armesto, Maitane Marquez, María Arestin, Peio Errarte, Ane Rubio, Lorea Manterola, Jose I López, Charles H Lawrie

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

María ArmestoMolecular Oncology Group, Biodonostia Research Institute, 20014 San Sebastián, Spain.
Maitane MarquezMolecular Oncology Group, Biodonostia Research Institute, 20014 San Sebastián, Spain.ORCID 0000-0003-4539-2485
María ArestinMolecular Oncology Group, Biodonostia Research Institute, 20014 San Sebastián, Spain.ORCID 0000-0003-2449-444X
Peio ErrarteOnena Medicines S.L., 20014 San Sebastián, Spain.
Ane RubioMolecular Oncology Group, Biodonostia Research Institute, 20014 San Sebastián, Spain.
Lorea ManterolaMolecular Oncology Group, Biodonostia Research Institute, 20014 San Sebastián, Spain.
Jose I LópezDepartment of Pathology, Cruces University Hospital, 48903 Barakaldo, Spain.ORCID 0000-0003-0842-5348
Charles H LawrieMolecular Oncology Group, Biodonostia Research Institute, 20014 San Sebastián, Spain.ORCID 0000-0002-8882-1131
Biogipuzkoa Health Research Institute · ESBioCruces Health research Institute · ESIkerbasque · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anti-angiogenic therapy sunitinib remains the standard first-line treatment for meta static clear cell renal cell carcinoma (ccRCC). However, acquired resistance develops in nearly all responsive patients and represents a major source of treatment failure. We used an integrated miRNA and mRNA transcriptomic approach to identify miRNA:target gene interactions involved in sunitinib resistance. Through the generation of stably resistant clones in three ccRCC cell lines (786-O, A498 and Caki-1), we identified non-overlapping miRNA:target gene networks, suggesting divergent mechanisms of sunitinib resistance. Surprisingly, even though the genes involved in these networks were different, they shared targeting by multiple members of the

Indexed as

clear cell renal cell carcinomamiRNApathway analysisrenal cancerresistancesunitinibtranscriptome

Identifiers

PMID34503211
PMCPMC8430814
OpenAlexW3196705653

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.