Evidence map›Paper›PMID 35090043›Full record

ArticleCancer2022

Clinically actionable genotypes for anticancer prescribing among >1500 patients with pharmacogenomic testing.

Natalie M Reizine, Keith Danahey, Tien M Truong, David George, Larry K House, Theodore G Karrison, Xander M R van Wijk, Kiang-Teck J Yeo, Mark J Ratain, Peter H O'Donnell

Abstract read
In one paragraph

Article in Cancer, 2022. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Kinase Inhibitors FDA Approved 2018-2023: Drug Targets, Metabolic Pathways, and Drug-Induced Toxicities.Drug metabolism and disposition: the biological fate of chemicals · 2024
    Review
  6. Overcoming Barriers to Discovery and Implementation of Equitable Pharmacogenomic Testing in Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Review
  7. 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

10 authors.

Natalie M ReizineSection of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.ORCID 0000-0001-9240-9943
Keith DanaheyCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois.
Tien M TruongSection of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.
David GeorgeCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois.
Larry K HouseSection of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.
Theodore G KarrisonDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois.
Xander M R van WijkCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois.
Kiang-Teck J YeoCenter for Personalized Therapeutics, University of Chicago, Chicago, Illinois.
Mark J RatainSection of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.
Peter H O'DonnellSection of Hematology/Oncology, Department of Medicine, University of Chicago Medical Center and Biological Sciences, Chicago, Illinois.ORCID 0000-0003-2650-0049

Funding

CLINICAL THERAPEUTICST32GM007019 · NIGMS · UNIVERSITY OF CHICAGO · PI Peter Hugh O'Donnell, MARK J RATAIN · 1985 to 2026
$8.7M
Implementation of Point-of-Care Pharmacogenomic Decision Support in Perioperative Care - Resubmission 01R01HG009938 · NHGRI · UNIVERSITY OF CHICAGO · PI O'DONNELL, PETER HUGH · 2018 to 2022
$4.0M
NHGRI NIH HHS R01 HG009938NIGMS NIH HHS T32 GM007019NIH Clinical Center 5T32GM007019-41
6 · The paper itself

Abstract

backgroundIn recent years, there has been increasing evidence supporting the role of germline pharmacogenomic factors predicting toxicity for anticancer therapies. Although somatic genomic data are used frequently in oncology care planning, germline pharmacogenomic testing is not. This study hypothesizes that comprehensive germline pharmacogenomic profiling could have high relevance for cancer care.

methodsBetween January 2011 and August 2020, patients at the University of Chicago Medical Center were genotyped across custom germline pharmacogenomic panels for reasons unrelated to cancer care. Actionable anticancer pharmacogenomic gene/drug interactions identified by the FDA were defined including: CYP2C9 (erdafitinib), CYP2D6 (gefitinib), DPYD (5-fluorouracil and capecitabine), TPMT (thioguanine and mercaptopurine), and UGT1A1 (belinostat, irinotecan, nilotinib, pazopanib, and sacituzumab-govitecan hziy). The primary objective was to determine the frequency of individuals with actionable or high-risk genotypes across these 5 key pharmacogenes, thus potentially impacting prescribing for at least 1 of these 11 commonly prescribed anticancer therapies.

resultsData from a total of 1586 genotyped individuals were analyzed. The oncology pharmacogene with the highest prevalence of high-risk, actionable genotypes was UGT1A1, impacting 17% of genotyped individuals. Actionable TPMT and DPYD genotypes were found in 9% and 4% of patients, respectively. Overall, nearly one-third of patients genotyped across all 5 genes (161/525, 31%) had at least one actionable genotype.

conclusionsThese data suggest that germline pharmacogenomic testing for 5 key pharmacogenes could identify a substantial proportion of patients at risk with standard dosing, an estimated impact similar to that of somatic genomic profiling. LAY SUMMARY: Differences in our genes may explain why some drugs work safely in certain individuals but can cause side effects in others. Pharmacogenomics is the study of how genetic variations affect an individual's response to medications. In this study, an evaluation was done for important genetic variations that can affect the tolerability of anticancer therapy. By analyzing the genetic results of >1500 patients, it was found that nearly one-third have genetic variations that could alter recommendations of what drug, or how much of, an anticancer therapy they should be given. Performing pharmacogenomic testing before prescribing could help to guide personalized oncology care.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPharmacogenomic TestingCytochrome P-450 CYP2D6GenotypeHumansPharmacogeneticsCytochrome P-450 CYP2D6cancerchemotherapyoncologypharmacogenomics

Identifiers

PMID35090043
PMCPMC9153953

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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.