Evidence map›Paper›PMID 39206149›Full record

ArticleiScience2024

Predictive gene expression profile for adjuvant taxane benefit in breast cancer in the MATADOR trial.

Mark Opdam, Annelot G J van Rossum, Marlous Hoogstraat, Gergana Bounova, Hugo M Horlings, Erik van Werkhoven, Ingrid A M Mandjes, A Elise van Leeuwen-Stok, Sander Canisius, Harm van Tinteren and 14 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
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

24 authors.

Mark OpdamDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Annelot G J van RossumDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Marlous HoogstraatDivision of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Gergana BounovaDivision of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Hugo M HorlingsDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Erik van WerkhovenBiometrics department, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Ingrid A M MandjesData center, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
A Elise van Leeuwen-StokDutch Breast Cancer Research Group, BOOG Study Center, Amsterdam, the Netherlands.
Sander CanisiusDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Harm van TinterenBiometrics department, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Alex L T ImholzDepartment of Medical Oncology, Deventer Ziekenhuis, Deventer, the Netherlands.
Johanneke E A PortieljeDepartment of Medical Oncology, HagaZiekenhuis, The Hague, the Netherlands.
Monique E M M BosDepartment of Internal Oncology, Reinier de Graaf Gasthuis, Delft, the Netherlands.
Sandra BakkerDepartment of Medical Oncology, Zaans Medisch Centrum, Zaandam, the Netherlands.
Jelle WesselingDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Lennart KesterDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Jacco van RheenenDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Emiel J RutgersDepartment of Surgical Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Renee X de MenezesBiostatistics Centre, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Lodewyk F A WesselsDivision of Molecular Carcinogenesis, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Marleen KokDivision of Tumor biology & Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
Hendrika M OosterkampDepartment of Medical Oncology, Haaglanden Medisch Centrum, The Hague, the Netherlands.
Sabine C LinnDivision of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
MATADOR trialists’ group for the Dutch Breast Cancer Research Group (BOOG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary objective of the prospective, randomized, multicenter, phase 3 biomarker Microarray Analysis in breast cancer to Taylor Adjuvant Drugs Or Regimens trial (MATADOR: ISRCTN61893718) is to generate a gene expression profile that can predict benefit from either docetaxel, doxorubicin, and cyclophosphamide (TAC) or dose-dense scheduled doxorubicin and cyclophosphamide (ddAC). Patients with a pT1-3, pN0-3 tumor were randomized 1:1 between ddAC and TAC. The primary endpoint was a gene profile-treatment interaction for recurrence-free survival (RFS). We observed 117 RFS events in 664 patients with a median follow-up of 7 years. Hallmark gene set analyses showed significant association between enrichment in immune-related gene expression and favorable outcome after TAC in hormone receptor-negative, human epidermal growth factor receptor 2 (HER2)-negative breast cancer (BC) (triple-negative breast cancer [TNBC]). We validated this association in TNBC patients treated with TAC on H&E slides; stromal tumor-infiltrating lymphocytes (sTILs) ≥20% was associated with longer RFS (hazard ratio 0.18,

Indexed as

CancerClinical geneticsOncology

Identifiers

PMID39206149
PMCPMC11357803

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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.