ReviewIndian journal of clinical biochemistry : IJCB2019
Single Cell Omics of Breast Cancer: An Update on Characterization and Diagnosis.
Review in Indian journal of clinical biochemistry : IJCB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 25 citations in OpenAlex.
- Vitamin D in Disease Prevention and Cure-Part I: An Update on Molecular Mechanism and Significance on Human Health.Indian journal of clinical biochemistry : IJCB · 2025Review
- Tumor-Associated Macrophage in Breast Tumor Microenvironment.International journal of molecular sciences · 2025Review
- Advancements in proteogenomics for preclinical targeted cancer therapy research.Biophysics reports · 2025Article
- MicroRNA Significance in Cancer: An Updated Review on Diagnostic, Prognostic, and Therapeutic Perspectives.EJIFCC · 2024Review
- Importance of LINC00852/miR-145-5p in breast cancer: a bioinformatics and experimental study.Discover oncology · 2024Article
- Migratory Tumor Cells Cooperate with Cancer Associated Fibroblasts in Hormone Receptor-Positive and HER2-Negative Breast Cancer.International journal of molecular sciences · 2024Article
- Single-Cell Microarray Chip with Inverse-Tapered Wells to Maintain High Ratio of Cell Trapping.Micromachines · 2023Article
- Breast cancer in the era of integrating "Omics" approaches.Oncogenesis · 2022Review
- Vulnerability of Triple-Negative Breast Cancer to Saponin Formosanin C-Induced Ferroptosis.Antioxidants (Basel, Switzerland) · 2022Article
- Applying multi-omics techniques to the discovery of biomarkers for acute aortic dissection.Frontiers in cardiovascular medicine · 2022Review
- How Lineage Tracing Studies Can Unveil Tumor Heterogeneity in Breast Cancer.Biomedicines · 2021Review
- The high methylation level of a novel 151-bp CpG island in the ESR1 gene promoter is associated with a poor breast cancer prognosis.Cancer cell international · 2021Article
- PI3K/AKT/mTOR Signaling Pathway in Breast Cancer: From Molecular Landscape to Clinical Aspects.International journal of molecular sciences · 2020Review
- Facile Method for Fabricating Microfluidic Chip Integrated with Microwell Arrays for Cell Trapping.Micromachines · 2019Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is recognized for its different clinical behaviors and patient outcomes, regardless of common histopathological features at diagnosis. The heterogeneity and dynamics of breast cancer undergoing clonal evolution produces cells with distinct degrees of drug resistance and metastatic potential. Presently, single cell analysis have made outstanding advancements, overshadowing the hurdles of heterogeneity linked with vast populations. The speedy progression in sequencing analysis now allow unbiased, high-output and high-resolution elucidation of the heterogeneity from individual cell within a population. Classical therapeutics strategies for individual patients are governed by the presence and absence of expression pattern of the estrogen and progesterone receptors and human epidermal growth factor receptor 2. However, such tactics for clinical classification have fruitfulness in selection of targeted therapies, short-term patient responses but unable to predict the long-term survival. In any phenotypic alterations, like breast cancer disease, molecular signature have proven its implication, as we aware that individual cell's state is regulated at diverse levels, such as DNA, RNA and protein, by multifaceted interplay of intrinsic biomolecules pathways existing in the organism and extrinsic stimuli such as ambient environment. Thus for complete understanding, complete profiling of single cell requires a synchronous investigations from different levels (multi-omics) to avoid incomplete information produced from single cell. In this article, initially we briefed on novel updates of various methods available to explore omics and then we finally pinpointed on various omics (i.e. genomics, transcriptomics, epigenomics, proteomics and metabolomics) data and few special aspects of circulating tumor cells, disseminated tumor cells and cancer stem cells, so far available from various studies that can be used for better management of breast cancer patients.
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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.