Evidence map›Paper›PMID 40480903›Full record

ReviewTrends in cancer2025

Ag(e)nostic precision oncology therapy approvals across the years.

Matthew R Kudek, Jacob J Adashek, Razelle Kurzrock

Abstract readReviewHistorical Article
In one paragraph

Review in Trends in cancer, 2025. 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
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  4. Review
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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

3 authors.

Matthew R KudekDepartment of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA; Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: mkudek@mcw.edu.
Jacob J AdashekDepartment of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins Hospital, Baltimore, MD, USA.
Razelle KurzrockDepartment of Medicine, Medical College of Wisconsin, Milwaukee, WI, USA; Department of Genomic Sciences, Medical College of Wisconsin, Milwaukee, WI, USA; Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA. Electronic address: rkurzrock@mcw.edu.

Funding

SWOG Network Group Operations Center of the NCTNU10CA180888 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PRIMO N. LARA · 2014 to 2026
$152.1M
Medical College of Wisconsin Lead Academic Participating Site RenewalUG1CA233198 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI William H Bradley, Elizabeth M Gore · 2019 to 2026
$5.0M
NCI NIH HHS U10 CA180888NCI NIH HHS UG1 CA233198
6 · The paper itself

Abstract

Precision oncology leverages targetable molecular aberrations to treat cancer. Initially, use of these therapies required biomarker detection in a specific tumor type. Recently, regulatory agencies have approved highly active biomarker-based, tumor-agnostic therapies, which are crucial for the unmet needs of patients with rare cancer, including children with cancer, because an infrequent biomarker in an already rare cancer represents a prohibitive clinical trial accrual barrier. There are also now several 'ag(e)nostic' precision oncology therapies - agnostic to tumor type and also approved for all ages. In this opinion, we provide historical context for the precision oncology field and contend that, moving forward, ag(e)nostic precision oncology approvals should be the norm for this class of therapeutics rather than an exception to the rule.

Indexed as

Antineoplastic AgentsBiomarkers, TumorDrug ApprovalMedical OncologyNeoplasmsPrecision MedicineClinical Trials as TopicHistory, 21st CenturyHumansMolecular Targeted TherapyUnited States Food and Drug AdministrationAntineoplastic AgentsBiomarkers, Tumorag(e)nosticprecision therapy

Identifiers

PMID40480903
PMCPMC12350067

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.