ArticleAging2018
Matcha green tea (MGT) inhibits the propagation of cancer stem cells (CSCs), by targeting mitochondrial metabolism, glycolysis and multiple cell signalling pathways.
Article in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Natural products targeting glycolysis in cancer.Frontiers in pharmacology · 2022Pooled it
- Beyond Composition: Processing-Driven Transformations and Functional Trade-Offs of Matcha Tea in Foods.Foods (Basel, Switzerland) · 2026Review
- Matcha as a Source of Bioactive Compounds: A Review of Health-Promoting Properties and Potential Applications.Nutrients · 2026Review
- Emerging roles of pseudogene-derived lncRNAs in cancer stem cells: Non-coding clues and therapeutic targets in cancer medicine.Genes & diseases · 2026Review
- Comprehensive microRNA analysis toward exploring a new functional component in Matcha green tea.Food chemistry. Molecular sciences · 2025Article
- The role of the mTOR pathway in breast cancer stem cells (BCSCs): mechanisms and therapeutic potentials.Stem cell research & therapy · 2025Review
- Effect of Geographic Regions on the Flavor Quality and Non-Volatile Compounds of Chinese Matcha.Foods (Basel, Switzerland) · 2025Article
- Therapeutic potential of epigallocatechin gallate in gynecologic cancer, endometriosis, polycystic ovary syndrome: a mechanistic and translational perspective.Frontiers in nutrition · 2025Review
- Autophagy as a Therapeutic Target in Breast Tumors: The Cancer stem cell perspective.Autophagy reports · 2024Article
- Mini-encyclopedia of mitochondria-relevant nutraceuticals protecting health in primary and secondary care-clinically relevant 3PM innovation.The EPMA journal · 2024Article
- Mitigation Potential of Herbal Extracts and Constituent Bioactive Compounds onAnimals : an open access journal from MDPI · 2024Review
- Effects of matcha tea extract on cell viability and estrogen receptor-β expression on MCF-7 breast cancer cells.Archives of gynecology and obstetrics · 2024Article
- Polyploidy and mTOR signaling: a possible molecular link.Cell communication and signaling : CCS · 2024Review
- Review
- Identifying the Producer and Grade of Matcha Tea through Three-Dimensional Fluorescence Spectroscopy Analysis and Distance Discrimination.Foods (Basel, Switzerland) · 2023Article
- Viability of HepG2 and MCF-7 cells is not correlated with mitochondrial bioenergetics.Scientific reports · 2023Article
- Article
- Anticancer Therapeutic Effects of Green Tea Catechins (GTCs) When Integrated with Antioxidant Natural Components.Molecules (Basel, Switzerland) · 2023Review
- The therapeutic potential of matcha tea: A critical review on human and animal studies.Current research in food science · 2023Review
- Identification of natural products and FDA-approved drugs for targeting cancer stem cell (CSC) propagation.Aging · 2022Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Matcha green tea (MGT) is a natural product that is currently used as a dietary supplement and may have significant anti-cancer properties. However, the molecular mechanism(s) underpinning its potential health benefits remain largely unknown. Here, we used MCF7 cells (an ER(+) human breast cancer cell line) as a model system, to systematically dissect the effects of MGT at the cellular level, via i) metabolic phenotyping and ii) unbiased proteomics analysis. Our results indicate that MGT is indeed sufficient to inhibit the propagation of breast cancer stem cells (CSCs), with an IC-50 of ~0.2 mg/ml, in tissue culture. Interestingly, metabolic phenotyping revealed that treatment with MGT is sufficient to suppress both oxidative mitochondrial metabolism (OXPHOS) and glycolytic flux, shifting cancer cells towards a more quiescent metabolic state. Unbiased label-free proteomics analysis identified the specific mitochondrial proteins and glycolytic enzymes that were down-regulated by MGT treatment. Moreover, to discover the underlying signalling pathways involved in this metabolic shift, we subjected our proteomics data sets to bio-informatics interrogation via Ingenuity Pathway Analysis (IPA) software. Our results indicate that MGT strongly affected mTOR signalling, specifically down-regulating many components of the 40S ribosome. This raises the intriguing possibility that MGT can be used as inhibitor of mTOR, instead of chemical compounds, such as rapamycin. In addition, other key pathways were affected, including the anti-oxidant response, cell cycle regulation, as well as interleukin signalling. Our results are consistent with the idea that MGT may have significant therapeutic potential, by mediating the metabolic reprogramming of cancer cells.
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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.