Evidence map›Paper›PMID 42494534›Full record

SynthesisFrontiers in pharmacology2026

Why pharmacogenomic biomarkers for chemotherapy-induced peripheral neuropathy fail: a systematic review of genetic associations, replication, and clinical translation.

Aditya Maganti, Ishara Rankothge, Hunter Sakadales, Ethan Kok, James Britton, Neil Rao, Svetlana Shatunova, Katherine Shimell, Paula Manuela Rojas Zambrano, Susanna B Park and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 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

15 authors.

Aditya MagantiMedical School, The University of Queensland, Brisbane, QLD, Australia.
Ishara RankothgeMedical School, The University of Queensland, Brisbane, QLD, Australia.
Hunter SakadalesMedical School, The University of Queensland, Brisbane, QLD, Australia.
Ethan KokSchool of the Environment (Biological Sciences), The University of Queensland, Brisbane, QLD, Australia.
James BrittonMedical School, The University of Queensland, Brisbane, QLD, Australia.
Neil RaoMedical School, The University of Queensland, Brisbane, QLD, Australia.
Svetlana ShatunovaInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Katherine ShimellInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Paula Manuela Rojas ZambranoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Susanna B ParkFaculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia.
Daniel SchweitzerMater Centre of Neuroscience, Mater Hospital, Wesley Hospital, The University of Queensland, Brisbane, QLD, Australia.
E-Liisa LaaksoMater Research Institute-The University of Queensland, South Brisbane, QLD, Australia.
Loic YengoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Irina VetterInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
Hana StarobovaInstitute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapy-induced peripheral neuropathy (CIPN) is a common, dose-limiting toxicity of cancer treatment, yet reliable biomarkers to predict individual susceptibility remain lacking. Germline genetic variation has been widely investigated as a potential contributor to CIPN risk; however, the consistency and clinical utility of these associations remain unclear. We performed a systematic review of genetic association studies evaluating CIPN across neurotoxic chemotherapies. PubMed, Embase, Web of Science, and the Cochrane Library were searched (April 2025) for human studies assessing germline variants in relation to clinician- or patient-reported CIPN. Eligible studies were identified in four major drug classes: vincristine, taxanes, platinum agents, and bortezomib. Study characteristics, phenotyping approaches, ancestry, and variant-level data were extracted, and study quality was assessed using Q-Genie. Meta-analysis was not performed due to substantial heterogeneity in study design and outcome measures. 72 studies were included, predominantly involving cohorts of European ancestry. The most consistently replicated loci were CEP72 and ETAA1 for vincristine-induced neuropathy; EPHA5, FGD4, and FZD3 for taxane-induced neuropathy; and ABC transporter genes and GSTP1 for platinum-induced neuropathy. For bortezomib, associations involving TRPV1, DNA repair pathways, and inflammatory signalling showed emerging but largely non-replicated evidence. Across studies, marked heterogeneity in CIPN definitions, phenotyping instruments, statistical approaches, and effect allele reporting limited comparability and reproducibility. Collectively, these findings indicate that current pharmacogenomic approaches to CIPN are constrained by poor replication, population bias, and inconsistent methodology, which hinder translation into clinically actionable biomarkers. Future progress will require harmonised phenotyping, multi-ancestry genome-wide studies, and integration of functional validation to enable robust risk stratification and precision oncology approaches to CIPN. Systematic Review Registration: Identifier PROSPERO [CRD42025635757].

Indexed as

biomarkerschemotherapy-induced peripheral neuropathy (CIPN)genetic polymorphismsGWASneurotoxicitypharmacogenomicsprecision oncology

Identifiers

PMID42494534
PMCPMC13391509

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.