ReviewCancers2023
Advancing Breast Cancer Heterogeneity Analysis: Insights from Genomics, Transcriptomics and Proteomics at Bulk and Single-Cell Levels.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Article
- ROS-Centered Transcriptomic Regulatory Networks Linking Salinity Stress, Antioxidant Defense and Processability Traits inCurrent issues in molecular biology · 2026Review
- Evaluating immunoreactivity of hybridoma-derived antibody mixtures generated against AU-565 cell line for diagnosis and immunotherapy of breast cancer.BMC cancer · 2026Article
- PFKP is required for chemoresistant phenotype of breast cancer through modulating the formation of CD133Molecular biomedicine · 2026Article
- Prior-guided factorization for reliable imputation of scRNA-seq data.PLoS computational biology · 2026Article
- Isolation and typing techniques for circulating tumor cells.Biomarker research · 2026Review
- Computational decoding of cell-cycle phase effects on cancer hallmarks across breast cancer subtypes.Breast cancer research : BCR · 2025Article
- Evaluation of genes and molecular pathways involved in ferroptosis in breast cancer: A systems biology and bioinformatics approach.Biochemistry and biophysics reports · 2025Article
- Emerging Breast Cancer Subpopulations: Functional Heterogeneity Beyond the Classical Subtypes.International journal of molecular sciences · 2025Review
- Biological evaluations and biomolecular interactions along with computational insights of arylidene isatin hydrazones synthesized using nanocatalyst.Scientific reports · 2025Article
- Genome doubling as a dynamic driver of ovarian cancer evolution: insights from single-cell sequencing.Journal of ovarian research · 2025Review
- Decoding the Role of CDCA Genes in Breast Cancer Progression: Insights From in Silico and Functional Assay.Asia-Pacific journal of clinical oncology · 2025Article
- Metabolomic Profiling of Disease Progression Following Radiotherapy for Breast Cancer.Cancers · 2025Article
- Rational Identification of Ritonavir as IL-20 Receptor A Ligand Endowed with Antiproliferative Properties in Breast Cancer Cells.International journal of molecular sciences · 2025Article
- Integrating functional proteomics and next generation sequencing reveals potential therapeutic targets for Taiwanese breast cancer.Clinical proteomics · 2025Article
- Current state of cancer immunity cycle: new strategies and challenges of using precision hydrogels to treat breast cancer.Frontiers in immunology · 2025Review
- Recent Advancements in Breast Cancer Therapies and Biomarkers: Mechanisms and Clinical Significance.Current pharmaceutical biotechnology · 2025Review
- FAT1 functions as an oncogenic driver in triple negative breast cancer through AKT pathway-driven effects on the matrisome.International journal of biological sciences · 2025Article
- Differential Expression of Interleukin-6 (IL-6), Interleukin-10 (IL-10), and Interleukin-1 Beta (IL-1β) in Insulin Resistance and Type 2 Diabetes: A Comparative Study of Messenger RNA (mRNA) and Protein Levels.Iranian journal of pathology · 2025Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer continues to pose a significant healthcare challenge worldwide for its inherent molecular heterogeneity. This review offers an in-depth assessment of the molecular profiling undertaken to understand this heterogeneity, focusing on multi-omics strategies applied both in traditional bulk and single-cell levels. Genomic investigations have profoundly informed our comprehension of breast cancer, enabling its categorization into six intrinsic molecular subtypes. Beyond genomics, transcriptomics has rendered deeper insights into the gene expression landscape of breast cancer cells. It has also facilitated the formulation of more precise predictive and prognostic models, thereby enriching the field of personalized medicine in breast cancer. The comparison between traditional and single-cell transcriptomics has identified unique gene expression patterns and facilitated the understanding of cell-to-cell variability. Proteomics provides further insights into breast cancer subtypes by illuminating intricate protein expression patterns and their post-translational modifications. The adoption of single-cell proteomics has been instrumental in this regard, revealing the complex dynamics of protein regulation and interaction. Despite these advancements, this review underscores the need for a holistic integration of multiple 'omics' strategies to fully decipher breast cancer heterogeneity. Such integration not only ensures a comprehensive understanding of breast cancer's molecular complexities, but also promotes the development of personalized treatment strategies.
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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.