Evidence map›Paper›PMID 30487530›Full record

ReviewNature reviews. Clinical oncology2019

Clinical potential of mass spectrometry-based proteogenomics.

Bing Zhang, Jeffrey R Whiteaker, Andrew N Hoofnagle, Geoffrey S Baird, Karin D Rodland, Amanda G Paulovich

Abstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.

0numbers the graph read from it
0cells of the map it votes in
110citing 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

110 citing papers in PubMed.

  1. Trial
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  3. A modular framework for antibody-drug conjugate biomarkers.Nature reviews. Clinical oncology · 2026
    Review
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  17. Review
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  20. Attracting Computational Researchers to Proteomics.Journal of the American Society for Mass Spectrometry · 2024
    Article

50 more citing papers are in PubMed but not listed here.

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

6 authors.

Bing ZhangDepartment of Molecular and Human Genetics, Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0001-8676-2425
Jeffrey R WhiteakerClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Andrew N HoofnagleDepartment of Medicine, University of Washington, Seattle, WA, USA.
Geoffrey S BairdDepartment of Laboratory Medicine, University of Washington, Seattle, WA, USA.
Karin D RodlandBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Amanda G PaulovichClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. apaulovi@fredhutch.org.

Funding

Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1986 to 2026
$41.4M
Proteogenomic Studies aimed at understanding ovarian tumor responses to agents targeting the DNA damage response and translating this knowledge into clinical benefitU01CA214114 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BIRRER, MICHAEL, PAULOVICH, AMANDA G · 2017 to 2021
$8.4M
Proteogenomic Translational Research Center for Clinical ProteomicU01CA214116 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI DRUKER, BRIAN J, RODLAND, KARIN D · 2017 to 2021
$6.8M
iPGDAC, An Integrative Proteogenomic Data Analysis Center for CPTACU24CA210954 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ZHANG, BING · 2016 to 2020
$4.9M
A proteomics research specialist in developing targeted mass spectrometry methods for quantifying proteins important in cancerR50CA211499 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jeff Whiteaker · 2016 to 2026
$2.8M
NCI NIH HHS R50 CA211499NCI NIH HHS U01 CA214114NCI NIH HHS U01 CA214116NCI NIH HHS U24 CA210954NIDDK NIH HHS P30 DK017047
6 · The paper itself

Abstract

Cancer genomics research aims to advance personalized oncology by finding and targeting specific genetic alterations associated with cancers. In genome-driven oncology, treatments are selected for individual patients on the basis of the findings of tumour genome sequencing. This personalized approach has prolonged the survival of subsets of patients with cancer. However, many patients do not respond to the predicted therapies based on the genomic profiles of their tumours. Furthermore, studies pairing genomic and proteomic analyses of samples from the same tumours have shown that the proteome contains novel information that cannot be discerned through genomic analysis alone. This observation has led to the concept of proteogenomics, in which both types of data are leveraged for a more complete view of tumour biology that might enable patients to be more successfully matched to effective treatments than they would using genomics alone. In this Perspective, we discuss the added value of proteogenomics over the current genome-driven approach to the clinical characterization of cancers and summarize current efforts to incorporate targeted proteomic measurements based on selected/multiple reaction monitoring (SRM/MRM) mass spectrometry into the clinical laboratory to facilitate clinical proteogenomics.

Indexed as

Biomarkers, TumorHumansMass SpectrometryMutationNeoplasmsPrecision MedicinePrognosisProteogenomicsBiomarkers, Tumor

Identifiers

PMID30487530
PMCPMC6448780

What OpenQuestion holds

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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.