Evidence map›Paper›PMID 28423702›Full record

ArticleOncotarget2017

Experience with precision genomics and tumor board, indicates frequent target identification, but barriers to delivery.

Alan H Bryce, Jan B Egan, Mitesh J Borad, A Keith Stewart, Grzegorz S Nowakowski, Asher Chanan-Khan, Mrinal M Patnaik, Stephen M Ansell, Michaela S Banck, Steven I Robinson and 15 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Precision Oncology in Older Cancer Patients: A Single-Center Experience.International journal of molecular sciences · 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

25 authors.

Alan H BryceHematology/Oncology, Mayo Clinic, Phoenix, AZ, U.S.A.
Jan B EganCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Mitesh J BoradHematology/Oncology, Mayo Clinic, Phoenix, AZ, U.S.A.
A Keith StewartHematology/Oncology, Mayo Clinic, Phoenix, AZ, U.S.A.
Grzegorz S NowakowskiCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Asher Chanan-KhanCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Mrinal M PatnaikCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Stephen M AnsellCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Michaela S BanckCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Steven I RobinsonCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Aaron S MansfieldCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Eric W KleeCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Gavin R OliverCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Jennifer B McCormickHealth Sciences Research, Mayo Clinic, Rochester, MN, U.S.A.
Norine E HunekeCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Colleen M TagtowCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Robert B JenkinsLaboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, U.S.A.
Kandelaria M RumillaLaboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, U.S.A.
Sarah E KerrAnatomic Pathology, Mayo Clinic, Rochester, MN, U.S.A.
Jean-Pierre A KocherCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Scott A BeckCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Martin E Fernandez-ZapicoSchulze Center for Novel Therapeutics, Division of Oncology Research, Medical Oncology, Mayo Clinic, Rochester, MN, U.S.A.
Gianrico FarrugiaCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Konstantinos N LazaridisCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.
Robert R McWilliamsCenter for Individualized Medicine, Mayo Clinic, Rochester, MN, U.S.A.

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Project 4: Targeting Resistance to T-Cell Directed Therapy in Multiple MyelomaP50CA186781 · NCI · MAYO CLINIC ARIZONA · PI Peter Leif Bergsagel · 2015 to 2026
$25.5M
NCATS NIH HHS UL1 TR000135NCI NIH HHS P50 CA186781
6 · The paper itself

Abstract

backgroundThe ability to analyze the genomics of malignancies has opened up new possibilities for off-label targeted therapy in cancers that are refractory to standard therapy. At Mayo Clinic these efforts are organized through the Center for Individualized Medicine (CIM).

resultsPrior to GTB, datasets were analyzed and integrated by a team of bioinformaticians and cancer biologists. Therapeutically actionable mutations were identified in 65% (92/141) of the patients tested with 32% (29/92) receiving genomically targeted therapy with FDA approved drugs or in an independent clinical trial with 45% (13/29) responding. Standard of care (SOC) options were continued by 15% (14/92) of patients tested before exhausting SOC options, with 71% (10/14) responding to treatment. Over 35% (34/92) of patients with actionable targets were not treated with 65% (22/34) choosing comfort measures or passing away. MATERIALS AND

methodsPatients (N = 165) were referred to the CIM Clinic between October 2012 and December 2015. All patients received clinical genomic panel testing with selected subsets receiving array comparative genomic hybridization and clinical whole exome sequencing to complement and validate panel findings. A genomic tumor board (GTB) reviewed results and, when possible, developed treatment recommendations.

conclusionsTreatment decisions driven by tumor genomic analysis can lead to significant clinical benefit in a minority of patients. The success of genomically driven therapy depends both on access to drugs and robustness of bioinformatics analysis. While novel clinical trial designs are increasing the utility of genomic testing, robust data sharing of outcomes is needed to optimize clinical benefit for all patients.

Indexed as

Biomarkers, TumorGenomicsPrecision MedicineAdolescentAdultAgedAged, 80 and overAntineoplastic AgentsChildChild, PreschoolComputational BiologyFemaleGenetic Predisposition to DiseaseHumansInfantMaleAntineoplastic AgentsBiomarkers, Tumorcancer genomicsgenomic tumor boardprecision medicinetargeted therapeutics

Identifiers

PMID28423702
PMCPMC5432324

What OpenQuestion holds

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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.