Evidence map›Paper›PMID 28723497›Full record

ArticleEuropean urology focus2016

Pharmacogenomic Markers of Targeted Therapy Toxicity in Patients with Metastatic Renal Cell Carcinoma.

Guillermo de Velasco, Kathryn P Gray, Lana Hamieh, Yuksel Urun, Hallie A Carol, Andre P Fay, Sabina Signoretti, David J Kwiatkowski, David F McDermott, Matthew Freedman and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in European urology focus, 2016. 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, 13 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

12 authors at 5 institutions in 3 countries.

Guillermo de VelascoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Kathryn P GrayDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Biostatistics and Computational Biology, Harvard School of Public Health, Boston, MA, USA.
Lana HamiehDivision of Pulmonary Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Yuksel UrunDepartment of Medical Oncology, Ankara University School of Medicine, Turkey.
Hallie A CarolDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Andre P FayDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; PUCRS School of Medicine, Porto Alegre, Brazil.
Sabina SignorettiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
David J KwiatkowskiDivision of Pulmonary Medicine, Brigham and Women's Hospital, Boston, MA, USA.
David F McDermottDepartment of Medical Oncology, Beth-Israel Deaconess Medical Center, Boston, MA, USA.
Matthew FreedmanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Mark M PomerantzDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Toni K ChoueiriDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. Electronic address: toni_choueiri@dfci.harvard.edu.
Dana-Farber Cancer Institute · USBrigham and Women's Hospital · USAnkara University · TRBeth Israel Deaconess Medical Center · USHarvard University · US

Funding

Treating the P13-Kinase/AKTP50CA101942 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI David McDermott · 2003 to 2026
$53.4M
NCI NIH HHS P50 CA101942
6 · The paper itself

Abstract

backgroundTargeted therapy (TT) in metastatic renal cell carcinoma (mRCC) may be associated with a high rate of toxicity that undermines treatment efficacy and patient quality of life. Polymorphisms in genes involved in the pharmacokinetic pathways of TTs may predict toxicity.

objectiveTo investigate whether selected single-nucleotide polymorphisms (SNPs) in three core genes involved in the metabolism and transport of sunitinib and the mTOR inhibitors everolimus and temsirolimus are associated with adverse events (AEs). DESIGN, SETTING, AND

participantsGermline DNA was extracted from blood or normal kidney tissue from mRCC patients of Caucasian ethnicity in two cohorts treated with either sunitinib (n=159) or mTOR inhibitors (n=62). Six SNPs in three candidate genes (CYP3A4: rs2242480, rs4646437, and rs2246709; CYP3A5: rs15524; and ABCB1: rs2032582 and rs1045642) were analyzed. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Primary endpoints were grade ≥3 AEs for all patients; grade ≥3 hypertension in the sunitinib cohort, and any grade pneumonitis in the mTOR inhibitors cohort. A logistic regression model was used to assess the association between SNPs and AEs, with adjustment for relevant clinical factors. RESULTS AND LIMITATIONS: In total, 221 samples were successfully genotyped for the selected SNPs. In the sunitinib cohort, the CYP3A4 rs464637 AG variant was associated with a lower risk of high-grade AEs (odds ratio 0.27, 95% confidence interval 0.08-0.88; p=0.03), but no SNPs were associated with hypertension. In the mTOR inhibitor cohort, none of the selected SNPs was associated with analyzed toxicities.

conclusionsWe observed an association between CYP3A4 polymorphisms and toxicity outcomes in mRCC patients treated with sunitinib, but not with everolimus or temsirolimus. Our findings are exploratory in nature, and further validation in independent and larger cohorts is needed. PATIENT SUMMARY: We found that variants of CYP3A4, a gene involved in drug metabolism, are associated with sunitinib toxicity. This information may help in better selection of patients for targeted therapies in metastatic renal cell carcinoma.

Indexed as

BiomarkerGenomicsPolymorphismsRenal cell carcinomaSingle-nucleotide polymorphismTargeted therapy

Identifiers

PMID28723497
PMCPMC5520643
OpenAlexW2343181982

What OpenQuestion holds

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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.