Trial reportBritish journal of cancer2016
Clinical and microarray analysis of breast cancers of all subtypes from two prospective preoperative chemotherapy studies.
Trial report in British journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Functional roles and clinical implications of pseudogenes signatures as emerging biomarkers in cancer.Discover oncology · 2026Review
- A Comparative Review of Methods for Detecting Epidermal Growth Factor Receptor Mutations in Cell-free DNA from Lung Cancer Patients.Current molecular medicine · 2026Review
- Predictive gene expression profile for adjuvant taxane benefit in breast cancer in the MATADOR trial.iScience · 2024Article
- Construction and analysis of pseudogene-related ceRNA network in breast cancer.Scientific reports · 2023Article
- Theranostic Interpolation of Genomic Instability in Breast Cancer.International journal of molecular sciences · 2022Review
- Sphere-forming culture enriches liver cancer stem cells and reveals Stearoyl-CoA desaturase 1 as a potential therapeutic target.BMC cancer · 2019Article
- Integrated Transcriptome and Pathway Analyses Revealed Multiple Activated Pathways in Breast Cancer.Frontiers in oncology · 2019Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe aimed to analyse clinical and gene expression profiles to predict pathologic complete response and disease-free survival using two consecutive, prospective, preoperative chemotherapy trial cohorts.
methodsClinicopathological and gene expression data were evaluated in a cohort from two consecutive phase II preoperative studies that included patients with stage IIA-IIIC breast cancer of all subtypes. Analysed specimens were obtained before preoperative chemotherapy, and cDNA microarray analyses were performed using the Affymetrix Gene Chip U133 plus 2.0.
resultsBetween December 2005 and December 2010, 122 patients were analysed. The pathologic complete response rate was significantly higher in HER2+ and HR-/HER2- cancers. Age, pathologic complete response, HR-/HER2- status, and lymph node positivity (⩾4) were significant poor prognostic factors for disease-free survival. For the cDNA microarray analyses, sufficient tumour samples were available from 78 of the 107 patients (73%). An 8-gene signature predictive of pathologic complete response and a 17-gene signature predictive of prognosis were identified. Patients were categorised into low-risk (n=45) and high-risk groups (n=33) (HR 70.0, P=0.004).
conclusionsThis study yielded preliminary data on the expression of specific genes predicting pathologic complete response and disease-free survival in a cohort of chemonaïve breast cancer patients. Further validation may distinguish those who would benefit most from perioperative chemotherapy as well as those needing further intervention.
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Registered trials
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.