Evidence map›Paper›PMID 41567026›Full record

ReviewCancer science2026

Clinical Applications of Phosphoproteomics: Illuminating Cancer Signaling and Enabling Rational Therapeutic Strategies.

Hirokazu Shoji, Narikazu Boku, Jun Adachi

Abstract readReview
In one paragraph

Review in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hirokazu ShojiDepartment of Gastrointestinal Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8922-5227
Narikazu BokuDepartment of Gastrointestinal Medical Oncology, National Cancer Center Hospital, Tokyo, Japan.
Jun AdachiLaboratory of Proteomics for Drug Discovery, Center for Drug Design Research, National Institute of Biomedical Innovation, Health, and Nutrition, Osaka, Japan.ORCID https://orcid.org/0000-0003-1220-3246

Funding

Japan Agency for Medical Research and Development JP24ak0101203h0001
6 · The paper itself

Abstract

Protein phosphorylation is a central post-translational modification regulating cellular signaling, frequently dysregulated in cancer. Mass spectrometry (MS)-based phosphoproteomics has emerged as a powerful approach to systematically profile phosphorylation events, thereby revealing aberrant kinase activity and therapeutic vulnerabilities that are not captured by genomic or transcriptomic analyses. Recent advances across the workflow-including optimized sample preparation and phosphopeptide enrichment, isotope- or label-free quantitative strategies, high-resolution mass spectrometry platforms, specialized algorithms for site identification and quantification, and integrative informatics analyses-have enabled the detection of tens of thousands of phosphorylation sites even from small clinical specimens. These developments have facilitated the characterization of signaling pathways across diverse cancer types, leading to the identification of targetable kinases and informing therapeutic strategies. In this review, we highlight studies that employed phosphoproteomic analyses of clinical specimens or patient-derived cancer cells to delineate signaling characteristics and to propose and validate therapeutic targets. Collectively, MS-based phosphoproteomics is poised to become a cornerstone of precision oncology. By enabling comprehensive and quantitative mapping of phosphorylation events, this technology allows mechanistic dissection of cancer signaling pathways and uncovers therapeutic vulnerabilities that may be exploited with targeted agents.

Indexed as

NeoplasmsPhosphoproteinsProtein Kinase InhibitorsProteomicsAnimalsAntineoplastic AgentsDrug DiscoveryGene Expression Regulation, NeoplasticHumansMass SpectrometryMolecular Targeted TherapyPhosphorylationPrecision MedicineProtein Processing, Post-TranslationalSignal TransductionXenograft Model Antitumor AssaysAntineoplastic AgentsPhosphoproteinsProtein Kinase Inhibitorscancer signalingkinasesmass spectrometryphosphoproteomicstherapeutic targets

Identifiers

PMID41567026
PMCPMC13045499

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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.