ArticleBritish journal of cancer2020
Genomic profiling of multiple breast cancer reveals inter-lesional heterogeneity.
Article in British journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Use of Gefitinib in EGFR-Amplified Refractory Solid Tumors: An Open-Label, Single-Arm, Single-Center Prospective Pilot Study.Targeted oncology · 2020Trial
- Paired tumor-normal targeted sequencing supports clonal independence of multiple primary malignancies in patients with gastrointestinal stromal tumors.International journal of clinical oncology · 2026Article
- Breast-Conserving Surgery in Multicentric Breast Cancer: Evolving Evidence and Patient Selection.Cancers · 2026Review
- Preoperative assessment of axillary lymph node tumor burden in cT1-2N0 breast cancer patients with a modality-adaptive network based on sentinel lymph node ultrasound images.Scientific reports · 2026Article
- Antibody-Drug Conjugates in Breast Cancer: Therapeutic-Window Engineering, Tumor Heterogeneity, and Immunotherapy Combinations.Drug design, development and therapy · 2026Review
- Mitochondrial resilience: a convergent framework for pathogenesis and neuroprotection in Parkinson's disease.Frontiers in pharmacology · 2026Review
- Review
- Concordance of HER2 status between core needle biopsy and surgical resection specimens of breast cancer: an analysis focusing on the HER2-low status.Breast cancer (Tokyo, Japan) · 2024Article
- Review
- AFrontiers in genetics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundMultiplicity in breast cancer is common. Studies on multiple breast cancers have revealed high concordance in biomarker status among individual lesions. However, genomic differences among multiple lesions are not well-established. We aimed to investigate the potential genomic heterogeneity of multiple breast cancer.
methodsTwenty-one patients with radiologically and histologically evident multiple breast cancer with similar histology were included. Two lesions from each of the 21 patients were selected, and biomarker status was evaluated for each lesion. Capture-based targeted next-generation sequencing was performed using a cancer gene panel consisting of 170 genes.
resultsWe identified discordance in intrinsic subtype in 2 (10%) of the 21 patients. Pathogenic mutations were detected in 13 of the 21 patients, of whom 11 shared oncogenic variants in the two lesions. The remaining two patients yielded different mutation results for TP53, ATM, and PIK3CA. Difference in copy number alteration was observed in 7 (33%) of the 21 patients including ERBB2 (n = 2), FGFR1 (n = 2), and FGFR2 (n = 1) genes.
conclusionDespite similar histologic features of the individual lesions, inter-lesional genomic difference was identified in more than one-third of the patients. Inter-lesional genomic heterogeneity needs to be considered when performing a genomic test in multiple breast cancers.
Indexed as
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.