ArticleBMC cancer2025
6-Methoxyflavone inhibits glycolytic energy metabolism in HeLa cells.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundEnhanced glycolytic levels in cancer cells are a common characteristic of many cancer types. Modulation of glycolytic metabolism is crucial for enhancing the efficacy of cancer therapy. The specific role of 6-methoxyflavone in regulating glycolytic metabolism in cancer cells remains unclear. This study aimed to elucidate the impact of 6-methoxyflavone on glycolytic metabolism in cervical cancer cells and its clinical relevance.
methodsThe tandem mass tag (TMT) proteomic analysis was used to identify significantly enriched biological processes and pathways in HeLa cells after treatment with 6-methoxyflavone. Additionally, the differential expression of glycolysis-related proteins was validated using parallel reaction monitoring (PRM) proteomics. Untargeted and targeted metabolomics analyses were used to identify differentially expressed glycolysis-related metabolites. Furthermore, alternative splicing, new transcripts, and domain analyses were used to detect the effects of 6-methoxyflavone on the structures of glycolysis-related genes and proteins. Subcellular localization, molecular docking, and non-covalent interaction analyses were used to detect the subcellular localization, affinity of 6-methoxyflavone for glycolysis-related proteins, and sites of non-covalent interactions. Clinical characteristics and immunological correlation analyses were used to elucidate the relationships between glycolysis-related genes and clinicopathological characteristics, survival, prognosis, and immune-related indicators of patients with cervical cancer. Finally, glycolysis stress tests and enzyme activity assays were used to verify the effect of 6-methoxyflavone on glycolysis in HeLa cells.
resultsTMT and PRM proteomics, as well as untargeted and targeted metabolomics results, showed that 6-methoxyflavone downregulated the expression levels of glycolysis-related proteins and metabolites in HeLa cells, and that the structures and functions of glycolysis-related genes and proteins in the cytoplasm underwent changes. 6-Methoxyflavone had a good affinity for nine glycolysis-related proteins, all of which had non-covalent interaction sites. Clinical characteristics and immune correlation analyses showed relationships between 6-methoxyflavone and five clinical characteristics, survival prognosis, and four immune-related indicators in patients with cervical cancer. After treatment with 6-methoxyflavone, the basal glycolytic level, maximum glycolytic capacity, and glycolytic reserve of HeLa cells were downregulated. Additionally, 6-methoxyflavone inhibited the activity of pyruvate kinase.
conclusion6-Methoxyflavone inhibited energy metabolism in HeLa cells through the glycolysis pathway. 6-Methoxyflavone may be related to five clinical characteristics, prognosis, tumor microenvironment, immune cells, immune checkpoints, and immunotherapy efficacy in patients with cervical cancer.
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.