ArticleProteomics2015
A quantitative proteomics analysis of MCF7 breast cancer stem and progenitor cell populations.
Article in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 31 citations in OpenAlex.
- The metabolic profiles of cancer stem cells.Stem cell research & therapy · 2026Review
- Concise review: breast cancer stems cells and their role in metastases.Annals of medicine and surgery (2012) · 2024Review
- Molecular Insights into the Breast and Prostate Cancer Cells in Response to the Change of Extracellular Zinc.Journal of oncology · 2024Article
- RAC1B function is essential for breast cancer stem cell maintenance and chemoresistance of breast tumor cells.Oncogene · 2023Article
- Active Targeting of Versatile Nanocomplex Using the Novel Biomarker of Breast Cancer Stem Cells.International journal of molecular sciences · 2022Article
- Recent Developments and Applications of Quantitative Proteomics Strategies for High-Throughput Biomolecular Analyses in Cancer Research.RSC chemical biology · 2021Article
- Anti-tumour effects of a dual cancer-specific oncolytic adenovirus on Breast Cancer Stem cells.Journal of cellular and molecular medicine · 2021Article
- Advances in Therapeutic Targeting of Cancer Stem Cells within the Tumor Microenvironment: An Updated Review.Cells · 2020Review
- Biological Functions and Identification of Novel Biomarker Expressed on the Surface of Breast Cancer-Derived Cancer Stem Cells via Proteomic Analysis.Molecules and cells · 2020Article
- Phenotypic and microRNA characterization of the neglected CD24+ cell population in MCF-7 breast cancer 3-dimensional spheroid culture.Journal of the Chinese Medical Association : JCMA · 2020Article
- Differential proteomic comparison of breast cancer secretome using a quantitative paired analysis workflow.BMC cancer · 2019Article
- Single Amino Acid Variant Discovery in Small Numbers of Cells.Journal of proteome research · 2019Article
- Phytochemicals: Current strategies for treating breast cancer.Oncology letters · 2018Review
- Tumacrophage: macrophages transformed into tumor stem-like cells by virulent genetic material from tumor cells.Oncotarget · 2017Article
- Sulforaphane enhances the anticancer activity of taxanes against triple negative breast cancer by killing cancer stem cells.Cancer letters · 2017Article
- Single Amino Acid Variant Profiles of Subpopulations in the MCF-7 Breast Cancer Cell Line.Journal of proteome research · 2017Article
- Protein Markers Associated with an ALDH Sub-Population in Colorectal Cancer.Journal of proteomics & bioinformatics · 2016Article
- Cancer stem cell metabolism.Breast cancer research : BCR · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Accumulating evidence has demonstrated that breast cancers are initiated and develop from a small population of stem-like cells termed cancer stem cells (CSCs). These cells are hypothesized to mediate tumor metastasis and contribute to therapeutic resistance. However, the molecular regulatory networks responsible for maintaining CSCs in an undifferentiated state have yet to be elucidated. In this study, we used CSC markers to isolate pure breast CSCs fractions (ALDH+ and CD44+CD24- cell populations) and the mature luminal cells (CD49f-EpCAM+) from the MCF7 cell line. Proteomic analysis was performed on these samples and a total of 3304 proteins were identified. A label-free quantitative method was applied to analyze differentially expressed proteins. Using the criteria of greater than twofold changes and p value <0.05, 305, 322 and 98 proteins were identified as significantly different in three pairwise comparisons of ALDH+ versus CD44+CD24-, ALDH+ versus CD49f-EpCAM+ and CD44+CD24- versus CD49f-EpCAM+, respectively. Pathway analysis of differentially expressed proteins by Ingenuity Pathway Analysis (IPA) revealed potential molecular regulatory networks that may regulate CSCs. Selected differential proteins were validated by Western blot assay and immunohistochemical staining. The use of proteomics analysis may increase our understanding of the underlying molecular mechanisms of breast CSCs. This may be of importance in the future development of anti-CSC therapeutics.
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.