ArticleNPJ breast cancer2017
The AURORA pilot study for molecular screening of patients with advanced breast cancer-a study of the breast international group.
Article in NPJ breast cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02102165 (AURORA), which is not on this map. Cited by 7 papers.
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.
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.
AURORA: Aiming to Understand the Molecular Aberrations in Metastatic Breast Cancer.
Who cites it
7 citing papers in PubMed.
- Genomic landscape of hormone therapy-resistant HR-positive, HER2-negative breast cancer.Breast cancer research and treatment · 2025Article
- PIK3CA mutations in endocrine-resistant breast cancer.Scientific reports · 2024Article
- Reimbursement in the Context of Precision Oncology Approaches in Metastatic Breast Cancer: Challenges and Experiences.Breast care (Basel, Switzerland) · 2024Article
- International research to address the challenges of metastatic breast cancer: the AURORA Program (BIG 14-01).NPJ breast cancer · 2023Article
- Genomic and Transcriptomic Analyses of Breast Cancer Primaries and Matched Metastases in AURORA, the Breast International Group (BIG) Molecular Screening Initiative.Cancer discovery · 2021Article
- CATCH: A Prospective Precision Oncology Trial in Metastatic Breast Cancer.JCO precision oncology · 2021Article
- Ex-vivo organ culture as potential prioritization tool for breast cancer targeted therapy.Cancer biology & therapy · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several studies have demonstrated the feasibility of molecular screening of tumour samples for matching patients with cancer to targeted therapies. However, most of them have been carried out at institutional or national level. Herein, we report on the pilot phase of AURORA (NCT02102165), a European multinational collaborative molecular screening initiative for advanced breast cancer patients. Forty-one patients were prospectively enroled at four participating centres across Europe. Metastatic tumours were biopsied and profiled using an Ion Torrent sequencing platform at a central facility. Sequencing results were obtained for 63% of the patients in real-time with variable turnaround time stemming from delays between patient consent and biopsy. At least one clinically actionable mutation was identified in 73% of patients. We used the Illumina sequencing technology for orthogonal validation and achieved an average of 66% concordance of substitution calls per patient. Additionally, copy number aberrations inferred from the Ion Torrent sequencing were compared to single nucleotide polymorphism arrays and found to be 59% concordant on average. Although this study demonstrates that powerful next generation genomic techniques are logistically ready for international molecular screening programs in routine clinical settings, technical challenges remain to be addressed in order to ensure the accuracy and clinical utility of the genomic data.
Identifiers
What OpenQuestion holds
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.