Expression of a heptelidic acid-insensitive recombinant GAPDH from Trichoderma virens, and its biochemical and biophysical characterization.

Trichoderma virens genome harbors two isoforms of GAPDH, one (gGPD) involved in glycolysis and the other one (vGPD) in secondary metabolism. vGPD is expressed as part of the "vir" cluster responsible for the biosynthesis of volatile sesquiterpenes. The secondary metabolism-associated GAPDH is tolerant to the anti-cancer metabolite heptelidic acid (HA), produced by T. virens. Characterizing the HA-tolerant form of GAPDH, thus has implications in cancer therapy. In order to get insight into the mechanism of HA-tolerance of vGPD, we have purified recombinant form of this protein. The protein displays biochemical and biophysical characteristics analogous to the gGPD isoform. It exists as a tetramer with Tm of about 56.5 °C, and displays phosphorylation enzyme activity with Km and Kcat of 0.38 mM and 2.55 sec-1, respectively. The protein weakly binds to the sequence upstream of the vir4 gene that codes for the core enzyme (a terpene cyclase) of the "vir" cluster. The EMSA analysis indicates that vGPD may not act as a transcription factor driving the "vir" cluster, at least not by directly binding to the promoter region. We also succeeded in obtaining small crystals of this protein. We have constructed structural models of vGPD and gGPD of T. virens. In silico constrained docking analysis reveals weaker binding of heptelidic acid in vGPD, compared to gGPD protein.

Targeting glucose metabolism to suppress cancer progression: prospective of anti-glycolytic cancer therapy.

Most solid tumor cells adapt to their heterogeneous microenvironment by depending largely on aerobic glycolysis for energy production, a phenomenon called the Warburg effect, which is a hallmark of cancer. The altered energy metabolism not only provides cancer cell with ATP for cellular energy, but also generate essential metabolic intermediates that play a pivotal role in the biosynthesis of macromolecules, to support cell proliferation, invasiveness, and chemoresistance. The cellular metabolic reprogramming in cancer is regulated by several oncogenic proteins and tumor suppressors such as hypoxia-inducible factor (HIF-1), Myc, p53, and PI3K/Akt/mTOR pathway. A better understanding of the mechanisms involved in the regulation of aerobic glycolysis can help in developing glycolytic inhibitors as anticancer agents. These metabolic antiglycolytic agents could be more effective if used in drug combinations to combat cancer. Several preclinical and early clinical studies have shown the effectiveness of targeting the glycolytic pathway as a therapeutic approach to suppress cancer progression. This review aimed to present the most recent data on the emerging drug candidate targeting enzymes and intermediates involved in glucose metabolism to provide therapeutic opportunities and challenges for antiglycolytic cancer therapy.

Anticancer activity of koningic acid and semisynthetic derivatives.

A screening program aimed at discovering novel anticancer agents based on natural products led to the selection of koningic acid (KA), known as a potent inhibitor of glycolysis. A method was set up to produce this fungal sesquiterpene lactone in large quantities by fermentation, thus allowing (i) an extensive analysis of its anticancer potential in vitro and in vivo and (ii) the semi-synthesis of analogues to delineate structure-activity relationships. KA was characterized as a potent, but non-selective cytotoxic agent, active under both normoxic and hypoxic conditions and inactive in the A549 lung cancer xenograft model. According to our SAR, the acidic group could be replaced to keep bioactivity but an intact epoxide is essential.

Antitumor activity of Koningic acid in thyroid cancer by inhibiting cellular glycolysis.

PURPOSE: Koningic acid (KA), a sesquiterpene lactone, has been identified as an antimicrobial agent. Recent studies have revealed KA's antitumor activities in colorectal cancer, leukemia, and lung cancer. However, its antitumor effect in thyroid cancer remains largely unknown. METHODS: The effects of KA on proliferation, colony formation, apoptosis in thyroid cancer cells were assessed by MTT assay and flow cytometry. After KA treatment, the glycolysis ability of thyroid cancer cells was detected by ECAR, and the glycolytic products and relative ATP levels were measured by ELISA. The underlying mechanisms of antineoplastic activity of KA in thyroid cancer were detected by Western blot. Finally, the antineoplastic activity in vivo was observed in Xenograft mouse models. RESULTS: KA inhibited the proliferation, colony formation, and increased cell apoptosis in thyroid cancer cell lines in a dose and time-dependent manner. We verified that the glycolysis ability, ATP production, and lactic acid level in thyroid cancer cells had experienced an extensive decrease after KA treatment. In addition, lactic acid, the metabolite of glycolysis, could weaken the effect of KA on its colony formation ability in C643 thyroid cancer cell line. Our data also showed that KA kills thyroid cancer cells by inhibiting the MAPK/ERK pathway and decreasing Bcl-2 level. By contrast with the control group, the growth of xenograft tumor was dramatically inhibited by KA without obvious drug side effects. CONCLUSION: Our data demonstrate that KA kills thyroid cancer cell lines by inhibiting their glycolysis ability, the MAPK/ERK pathway and the Bcl-2 level and suggest that KA has potential clinical value in thyroid cancer therapy.

Targeting of Evolutionarily Acquired Cancer Cell Phenotype by Exploiting pHi-Metabolic Vulnerabilities.

Evolutionary dynamics can be used to control cancers when a cure is not clinically considered to be achievable. Understanding Darwinian intratumoral interactions of microenvironmental selection forces can be used to steer tumor progression towards a less invasive trajectory. Here, we approach intratumoral heterogeneity and evolution as a dynamic interaction among subpopulations through the application of small, but selective biological forces such as intracellular pH (pHi) and/or extracellular pH (pHe) vulnerabilities. Increased glycolysis is a prominent phenotype of cancer cells under hypoxia or normoxia (Warburg effect). Glycolysis leads to an important aspect of cancer metabolism: reduced pHe and higher pHi. We recently showed that decreasing pHi and targeting pHi sensitive enzymes can reverse the Warburg effect (WE) phenotype and inhibit tumor progression. Herein, we used diclofenac (DIC) repurposed to control MCT activity, and Koningic acid (KA) that is a GAPDH partial inhibitor, and observed that we can control the subpopulation of cancer cells with WE phenotype within a tumor in favor of a less aggressive phenotype without a WE to control progression and metastasis. In a 3D spheroid co-cultures, we showed that our strategy can control the growth of more aggressive MDA-MB-231 cells, while sparing the less aggressive MCF7 cells. In an animal model, we show that our approach can reduce tumor growth and metastasis. We thus propose that evolutionary dynamics can be used to control tumor cells' clonal or sub-clonal populations in favor of slower growth and less damage to patients. We propose that this can result in cancer control for tumors where cure is not an option.