Evidence map›Paper›PMID 39494346›Full record

ArticleFrontiers in pharmacology2024

Proteomic study of medicinal mushroom extracts reveals antitumor mechanisms in an advanced colon cancer animal model via ribosomal biogenesis, translation, and metabolic pathways.

Boris Jakopovic, Anita Horvatić, Jurica Baranasic, Iris Car, Nada Oršolić, Ivan Jakopovich, Mirela Sedić, Sandra Kraljević Pavelić

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Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Boris JakopovicDr Myko San - Health from Mushrooms Co., Zagreb, Croatia.
Anita HorvatićFaculty of Food Technology and Biotechnology, University of Zagreb, Zagreb, Croatia.
Jurica BaranasicLaboratory for Cell Biology and Signalling, Division of Molecular Biology, Ruđer Bošković Institute, Zagreb, Croatia.
Iris CarCentre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia.
Nada OršolićDivision of Animal Physiology, Faculty of Science, University of Zagreb, Zagreb, Croatia.
Ivan JakopovichDr Myko San - Health from Mushrooms Co., Zagreb, Croatia.
Mirela SedićCentre for Applied Bioanthropology, Institute for Anthropological Research, Zagreb, Croatia.
Sandra Kraljević PavelićFaculty of Health Studies, University of Rijeka, Rijeka, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Colorectal cancer ranks as the third most common cancer in both men and women, with approximately 35% of cases being stage IV metastatic at diagnosis. Even with treatment advancements, the survival rates for these patients remain suboptimal. There is a significant focus on developing multi-targeted therapies due to the common issue of drug resistance in standard and targeted cancer treatments. Medicinal mushrooms, both as single compounds and as complex extracts, have undergone extensive research. Numerous types of mushrooms have been shown to be safe, effective inhibitors of cancer pathways and strong enhancers of the immune system. Methods: In this study, we performed both qualitative and quantitative proteomic analyses using tandem mass tags (TMT) on CT26 wild type (CT26. WT) colon cancer tissues from Balb/c mice, which were treated with a special blend of medicinal mushroom extracts, either alone or in combination with the chemotherapy drug 5-fluorouracil. Results: The results showed a notable increase in survival rates and indicated that medicinal mushroom preparation Agarikon Plus, both alone and combined with 5-fluorouracil or another medicinal mushroom preparation Agarikon.1, impedes multiple key processes in colorectal cancer progression. The analysis of differentially expressed proteins in treated groups was done by use of bioinformatics tools and a decrease in ribosomal biogenesis (e.g., RPS3) and translation processes (e.g., RPL14) as well as an increase in unfolded protein response (e.g., DNAJC3), lipid metabolism (e.g., ACOT7), and the tricarboxylic acid cycle (e.g., FH) were observed. Conclusion: The treatment induced various alterations of known biomarkers and protein clusters critical to the progression and prognosis of colorectal cancer, laying a promising foundation for further translational research on this treatment modality.

Indexed as

cancer metabolismcolorectal cancermedicinal mushroomsproteomicstranslationunfolded protein response

Identifiers

PMID39494346
PMCPMC11528127

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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.