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      Novel transketolase inhibitor oroxylin A suppresses the non‐oxidative pentose phosphate pathway and hepatocellular carcinoma tumour growth in mice and patient‐derived organoids

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          Abstract

          Background

          Transketolase (TKT), a key rate‐limiting enzyme in the non‐oxidative branch of the pentose phosphate pathway (PPP), provides more than 85% of the ribose required for de novo nucleotide biosynthesis and promotes the development of hepatocellular carcinoma (HCC). Pharmacologic inhibition of TKT could impede HCC development and enhance treatment efficacy. However, no safe and effective TKT inhibitor has been approved.

          Methods

          An online two‐dimensional TKT protein immobilised biochromatographic system was established for high‐throughput screening of TKT ligands. Oroxylin A was found to specifically bind TKT. Drug affinity responsive target stability, cellular thermal shift assay, surface plasmon resonance, molecular docking, competitive displacement assay, and site mutation were performed to identify the binding of oroxylin A with TKT. Antitumour effects of oroxylin A were evaluated in vitro, in human xenograft mice, diethylnitrosamine (DEN)‐induced HCC mice, and patient‐derived organoids (PDOs). Metabolomic analysis was applied to detect the enzyme activity. Transcriptome profiling was conducted to illustrate the anti‐HCC mechanism of oroxylin A. TKT knocking‐down HCC cell lines and PDOs were established to evaluate the role of TKT in oroxylin A‐induced HCC suppression.

          Results

          By targeting TKT, oroxylin A stabilised the protein to proteases and temperature extremes, decreased its activity and expression, resulted in accumulation of non‐oxidative PPP substrates, and activated p53 signalling. In addition, oroxylin A suppressed cell proliferation, induced apoptosis and cell‐cycle arrest, and inhibited the growth of human xenograft tumours and DEN‐induced HCC in mice. Crucially, TKT depletion exerted identical effects to oroxylin A, and the promising inhibitor also exhibited excellent therapeutic efficacy against clinically relevant HCC PDOs.

          Conclusions

          These results uncover a unique role for oroxylin A in TKT inhibition, which directly targets TKT and suppresses the non‐oxidative PPP. Our findings will facilitate the development of small‐molecule inhibitors of TKT and novel therapeutics for HCC.

          Abstract

          Oroxylin A directly targets transketolase (TKT) to suppress the non‐oxidative pentose phosphate pathway and activate p53 signalling, leading to growth inhibition of hepatocellular carcinoma (HCC) cells, tumours, and patient‐derived tumour organoids. This will facilitate the development of small‐molecule inhibitors of TKT and novel therapeutics for HCC.

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          Most cited references41

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body. Copyright © 2015, American Association for the Advancement of Science.
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              Metabolic reprogramming and cancer progression

              Metabolic reprogramming is a hallmark of malignancy. As our understanding of the complexity of tumor biology increases, so does our appreciation of the complexity of tumor metabolism. Metabolic heterogeneity among human tumors poses a challenge to developing therapies that exploit metabolic vulnerabilities. Recent work also demonstrates that the metabolic properties and preferences of a tumor change during cancer progression. This produces distinct sets of vulnerabilities between primary tumors and metastatic cancer, even in the same patient or experimental model. We review emerging concepts about metabolic reprogramming in cancer, with particular attention on why metabolic properties evolve during cancer progression and how this information might be used to develop better therapeutic strategies.
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                Author and article information

                Contributors
                hywangk@sina.vip.com
                fujing-724@163.com
                xfchen2010@163.com
                Journal
                Clin Transl Med
                Clin Transl Med
                10.1002/(ISSN)2001-1326
                CTM2
                Clinical and Translational Medicine
                John Wiley and Sons Inc. (Hoboken )
                2001-1326
                31 October 2022
                November 2022
                : 12
                : 11 ( doiID: 10.1002/ctm2.v12.11 )
                : e1095
                Affiliations
                [ 1 ] International Cooperation Laboratory on Signal Transduction Eastern Hepatobiliary Surgery Hospital Second Military Medical University/Naval Medical University Shanghai China
                [ 2 ] School of Pharmacy Second Military Medical University/Naval Medical University Shanghai China
                [ 3 ] National Center for Liver Cancer Second Military Medical University/Naval Medical University Shanghai China
                [ 4 ] Department of Biochemistry and Molecular Biology College of Basic Medical Second Military Medical University/Naval Medical University Shanghai China
                [ 5 ] Department of Pharmacy Shanghai Ninth People's Hospital School of Medicine of Shanghai Jiao Tong University Shanghai China
                Author notes
                [*] [* ] Correspondence

                Xiaofei Chen, School of Pharmacy, Second Military Medical University (Naval Medical University), Shanghai, China.

                Email: xfchen2010@ 123456163.com

                Hong‐yang Wang and Jing Fu, International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China.

                Email: fujing-724@ 123456163.com (J. Fu), hywangk@ 123456sina.vip.com (H.‐Y. Wang).

                Author information
                https://orcid.org/0000-0002-9606-2665
                https://orcid.org/0000-0002-6252-5879
                Article
                CTM21095
                10.1002/ctm2.1095
                9619225
                36314067
                a8d172d9-db6c-4a2c-ac56-3068a8392d47
                © 2022 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 04 October 2022
                : 19 May 2022
                : 11 October 2022
                Page count
                Figures: 8, Tables: 0, Pages: 16, Words: 7303
                Funding
                Funded by: National Natural Science Foundation of China , doi 10.13039/501100001809;
                Award ID: 81973291
                Award ID: 82122066
                Award ID: 82004002
                Award ID: 81988101
                Award ID: 81872231
                Award ID: 81830054
                Award ID: 82073411
                Funded by: Rising‐Star Program of Shanghai Science and Technology Committee
                Award ID: 19QA1411500
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                November 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.0 mode:remove_FC converted:31.10.2022

                Medicine
                metabolic reprogramming,non‐oxidative pentose phosphate pathway,oroxylin a,patient‐derived organoids,transketolase

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