Evidence map›Paper›PMID 36765174›Full record

ArticleBritish journal of cancer2023

Tumour-educated platelets for breast cancer detection: biological and technical insights.

Marte C Liefaard, Kat S Moore, Lennart Mulder, Daan van den Broek, Jelle Wesseling, Gabe S Sonke, Lodewyk F A Wessels, Matti Rookus, Esther H Lips

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

18 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Platelets as regulators of cancer immunity: mechanisms and therapeutic perspectives.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  10. Liquid Biopsy: The Challenges of a Revolutionary Approach in Oncology.International journal of molecular sciences · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Marte C LiefaardDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-3692-3566
Kat S MooreDivision of Molecular Carcinogenesis, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-5746-4098
Lennart MulderDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Daan van den BroekDepartment of Clinical Chemistry, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jelle WesselingDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-8940-2676
Gabe S SonkeDepartment of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Lodewyk F A WesselsDivision of Molecular Carcinogenesis, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Matti RookusDepartment of Psychosocial and Epidemiology Research, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Esther H LipsDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands. e.lips@nki.nl.ORCID http://orcid.org/0000-0003-3488-4935
The Netherlands Cancer Institute · NLLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have shown that blood platelets contain tumour-specific mRNA profiles tumour-educated platelets (TEPs). Here, we aim to train a TEP-based breast cancer detection classifier.

methodsPlatelet mRNA was sequenced from 266 women with stage I-IV breast cancer and 212 female controls from 6 hospitals. A particle swarm optimised support vector machine (PSO-SVM) and an elastic net-based classifier (EN) were trained on 71% of the study population. Classifier performance was evaluated in the remainder (29%) of the population, followed by validation in an independent set (37 cases and 36 controls). Potential confounding was assessed in post hoc analyses.

resultsBoth classifiers reached an area under the curve (AUC) of 0.85 upon internal validation. Reproducibility in the independent validation set was poor with an AUC of 0.55 and 0.54 for the PSO-SVM and EN classifier, respectively. Post hoc analyses indicated that 19% of the variance in gene expression was associated with hospital. Genes related to platelet activity were differentially expressed between hospitals.

conclusionsWe could not validate two TEP-based breast cancer classifiers in an independent validation cohort. The TEP protocol is sensitive to within-protocol variation and revision might be necessary before TEPs can be reconsidered for breast cancer detection.

Indexed as

Breast NeoplasmsBlood PlateletsFemaleHumansReproducibility of ResultsSupport Vector Machine

Identifiers

PMID36765174
PMCPMC10070267
OpenAlexW4319915926

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.