Evidence map›Paper›PMID 42777326›Full record

ReviewESMO open2026

Personalized medicine, scientific revolution or self-serving illusion: viewpoint from EORTC-PAMM Group.

V Debien, A Geraud-Cremieux, M Le Grand, D Carbone, I Garajova, C Pecoraro, E Pasquier, G J Peters, E Giovannetti, M Centanni and 1 more

Abstract readReview
In one paragraph

Review in ESMO open, 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

11 authors.

V DebienEarly Phase Clinical Trials Unit, Institut Bergonié, Bordeaux, France.
A Geraud-CremieuxMedical Oncology Department, Institut Paoli-Calmette, Marseille, France.
M Le GrandCentre de Recherche en Cancérologie de Marseille (CRCM), Aix-Marseille Université (U105), Inserm (UMR1068), CNRS (UMR7258), Institut Paoli Calmettes, REMAP4Kids Team, Translate-IT department, SouthROCK Center of Excellence in Pediatric Oncology Research, Marseille, France.
D CarboneDepartment of Biological, Chemical, and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Palermo, Italy.
I GarajovaUniversity Hospital of Parma, Medical Oncology Unit, University Hospital of Parma, Parma, Italy.
C PecoraroDepartment of Biological, Chemical, and Pharmaceutical Sciences and Technologies (STEBICEF), University of Palermo, Palermo, Italy.
E PasquierCentre de Recherche en Cancérologie de Marseille (CRCM), Aix-Marseille Université (U105), Inserm (UMR1068), CNRS (UMR7258), Institut Paoli Calmettes, REMAP4Kids Team, Translate-IT department, SouthROCK Center of Excellence in Pediatric Oncology Research, Marseille, France.
G J PetersDepartment of Biochemistry, Medical University of Gdansk, Gdansk, Poland; Department of Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Cancer Biology and Immunology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
E GiovannettiDepartment of Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Cancer Biology and Immunology, Cancer Center Amsterdam, Amsterdam, The Netherlands; Cancer Pharmacology Laboratory, Fondazione Pisana per la Scienza, San Giuliano, Pisa, Italy. Electronic address: e.giovannetti@amsterdamumc.nl.
M CentanniDepartment of Pharmacy, Uppsala University, Uppsala, Sweden.
J CiccoliniCOMPO Team, Aix Marseille University, INRIA, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France; Biogenopole, La Timone University Hospital of Marseille, Assistance Publique-Hôpitaux de Marseille (AP-HM), Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized medicine has redefined oncology by tailoring treatments to molecular and clinical characteristics. However, despite remarkable advances in biomarker discovery and targeted therapy, the integration of pharmacological principles into precision oncology remains limited. The resulting discrepancy between biological innovation and therapeutic optimization contributes to high attrition rates in drug development, inconsistent real-world efficacy, and escalating financial toxicity. The European Organisation for Research and Treatment of Cancer Pharmacology and Molecular Mechanisms Group explored how pharmacology can bridge the gap between molecular precision and clinical reality. Although understanding mechanisms of action is a critical first step, the subsequent translation of this knowledge into individualized dosing and scheduling strategies and rational drug combinations is equally essential. Achieving this requires the use of quantitative tools, such as pharmacokinetic/pharmacodynamic modeling, therapeutic drug monitoring, and real-world evidence (RWE). These patient-centered approaches enable continuous learning from patient data, refine our understanding of exposure-response relationships, and support adaptive treatment strategies across diverse populations. We also discuss the rise of tumor-agnostic approvals, which transcend histological boundaries yet expose disparities in national regulatory and reimbursement frameworks. Ensuring equitable access to mechanism-driven therapies requires harmonized policies integrating pharmacological, clinical, and ethical perspectives. True personalization in oncology requires moving beyond target selection to delivering the right dose to the right patient at the right time. Embedding holistic pharmacology approaches into the design, evaluation, and postmarketing use of anticancer therapies will improve efficacy, minimize toxicity, and promote value-based care. Integrating mechanistic understanding with quantitative pharmacology and RWE represents the next frontier of precision oncology, transforming innovation into sustainable, patient-centered benefit.

Indexed as

pharmacokinetic/pharmacodynamic modelingprecision oncologyreal-world evidencetherapeutic drug monitoringtumor-agnostic therapy

Identifiers

PMID42777326
PMCPMC13634385

What OpenQuestion holds

Textmetadata
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.