Evidence map›Paper›PMID 37738504›Full record

ReviewAnnual review of pharmacology and toxicology2024

Mass Spectrometry-Based Proteogenomics: New Therapeutic Opportunities for Precision Medicine.

Sunil K Joshi, Paul Piehowski, Tao Liu, Sara J C Gosline, Jason E McDermott, Brian J Druker, Elie Traer, Jeffrey W Tyner, Anupriya Agarwal, Cristina E Tognon and 1 more

Abstract readReview
In one paragraph

Review in Annual review of pharmacology and toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Proteomic Trajectories of Metabolic and Proteostatic Adaptation During Normothermic Liver Perfusion.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
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

11 authors.

Sunil K JoshiKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA; email: rodland@ohsu.edu.
Paul PiehowskiPacific Northwest National Laboratory, Richland, Washington, USA.
Tao LiuPacific Northwest National Laboratory, Richland, Washington, USA.
Sara J C GoslinePacific Northwest National Laboratory, Richland, Washington, USA.
Jason E McDermottPacific Northwest National Laboratory, Richland, Washington, USA.
Brian J DrukerKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA; email: rodland@ohsu.edu.
Elie TraerKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA; email: rodland@ohsu.edu.
Jeffrey W TynerKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA; email: rodland@ohsu.edu.
Anupriya AgarwalKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA; email: rodland@ohsu.edu.
Cristina E TognonKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA; email: rodland@ohsu.edu.
Karin D RodlandKnight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA; email: rodland@ohsu.edu.

Funding

Center for Advanced Multi-Omic Characterization of CancerU24CA271012 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI Tao Liu · 2022 to 2026
$6.6M
Proteogenomic characterization of early and late resistance mechanisms in acute myeloid leukemiaU01CA271412 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BRIAN J DRUKER, Paul D Piehowski · 2022 to 2026
$5.8M
Defining the stromal landscape that sustains AML drug resistanceF30CA239335 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI JOSHI, SUNIL KUMAR · 2019 to 2022
$187k
NCI NIH HHS F30 CA239335NCI NIH HHS U01 CA271412NCI NIH HHS U24 CA271012
6 · The paper itself

Abstract

Proteogenomics refers to the integration of comprehensive genomic, transcriptomic, and proteomic measurements from the same samples with the goal of fully understanding the regulatory processes converting genotypes to phenotypes, often with an emphasis on gaining a deeper understanding of disease processes. Although specific genetic mutations have long been known to drive the development of multiple cancers, gene mutations alone do not always predict prognosis or response to targeted therapy. The benefit of proteogenomics research is that information obtained from proteins and their corresponding pathways provides insight into therapeutic targets that can complement genomic information by providing an additional dimension regarding the underlying mechanisms and pathophysiology of tumors. This review describes the novel insights into tumor biology and drug resistance derived from proteogenomic analysis while highlighting the clinical potential of proteogenomic observations and advances in technique and analysis tools.

Indexed as

Precision MedicineProteogenomicsGenomicsHumansMass SpectrometryProteomicsdrug resistanceoncoproteomicsphosphoproteomicsproteogenomicssingle-cell proteomics

Identifiers

PMID37738504
PMCPMC10950354

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.