Evidence map›Paper›PMID 33107222›Full record

ArticleCancer medicine2021

Functional and genomic characterization of patient-derived xenograft model to study the adaptation to mTORC1 inhibitor in clear cell renal cell carcinoma.

Hiromasa Sakamoto, Toshinari Yamasaki, Takayuki Sumiyoshi, Masashi Takeda, Noboru Shibasaki, Noriaki Utsunomiya, Ryuichiro Arakaki, Shusuke Akamatsu, Takashi Kobayashi, Takahiro Inoue and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. 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
0.6field-weighted citation impact, top 26% 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, 7 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 3 institutions in 1 country.

Hiromasa SakamotoDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID 0000-0003-4213-2178
Toshinari YamasakiDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takayuki SumiyoshiDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Masashi TakedaDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Noboru ShibasakiDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Noriaki UtsunomiyaDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Ryuichiro ArakakiDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Shusuke AkamatsuDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takashi KobayashiDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID 0000-0003-1069-2816
Takahiro InoueDepartment of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Tsu, Japan.ORCID 0000-0001-8586-784X
Tomomi KambaDepartment of Urology, Kumamoto University Graduate School of Medical Sciences, Kumamoto, Japan.
Eijiro NakamuraDSK Project, Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Osamu OgawaDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kyoto University · JPKumamoto University · JPMie University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance to the mechanistic target of rapamycin (mTOR) inhibitors, which are a standard treatment for advanced clear cell renal cell carcinoma (ccRCC), eventually develops in most cases. In this study, we established a patient-derived xenograft (PDX) model which acquired resistance to the mTOR inhibitor temsirolimus, and explored the underlying mechanisms of resistance acquisition. Temsirolimus was administered to PDX model mice, and one cohort of PDX models acquired resistance after repeated passages. PDX tumors were genetically analyzed by whole-exome sequencing and detected several genetic alterations specific to resistant tumors. Among them, mutations in ANKRD12 and DNMT1 were already identified in the early passage of a resistant PDX model, and we focused on a DNMT1 mutation as a potential candidate for developing the resistant phenotype. While DNMT1 expression in temsirolimus-resistant tumors was comparable with the control tumors, DNMT enzyme activity was decreased in resistant tumors compared with controls. Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9-mediated heterozygous knockdown of DNMT1 in the temsirolimus-sensitive ccRCC (786-O) cell line was shown to result in a temsirolimus-resistant phenotype in vitro and in vivo. Integrated gene profiles using methylation and microarray analyses of PDX tumors suggested a global shift for the hypomethylation status including promotor regions, and showed the upregulation of several molecules that regulate the mTOR pathway in temsirolimus-resistant tumors. Present study showed the feasibility of PDX model to explore the mechanisms of mTOR resistance acquisition and suggested that genetic alterations, including that of DNMT1, which alter the methylation status in cancer cells, are one of the potential mechanisms of developing resistance to temsirolimus.

Indexed as

AnimalsAntineoplastic AgentsCarcinoma, Renal CellDNA (Cytosine-5-)-Methyltransferase 1DNA MethylationDrug Resistance, NeoplasmFemaleHumansKidney NeoplasmsMechanistic Target of Rapamycin Complex 1MiceMice, Inbred BALB CMice, SCIDMutationNeoplasm TransplantationProtein Kinase InhibitorsAntineoplastic AgentsDNA (Cytosine-5-)-Methyltransferase 1DNMT1 protein, humanMechanistic Target of Rapamycin Complex 1Protein Kinase InhibitorsSirolimustemsirolimusDNMT1drug resistancemethylationmTORrenal cell carcinoma

Identifiers

PMID33107222
PMCPMC7826464
OpenAlexW3094193992

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.