Добірка наукової літератури з теми "PKM1/PKM2"

e17058 Background: Prostate cancer (PCa) is the most diagnosed cancers in American men. After androgen deprivation therapy (ADT) fails, there is an increase in the aggressive neuroendocrine (NE) phenotype. Currently, there is no effective treatment for NE prostate cancer (NEPC). The metabolic reprogramming, one of the cancer hallmarks, regulates PCa progression and therapy resistance. However, the energy metabolism in NEPC has not been well studied yet. Pyruvate kinase (PK), catalyzing the final step of glycolysis, has PKM1, PKM2, PKL and PKR four isoforms. PKL and PKR are expressed in the liver and erythrocytes, respectively. Alternative splicing of PKM results in two isoforms, PKM1 and PKM2, which are expressed in most tissues. In prostate adenocarcinoma, loss of PKM1 promotes PCa progression whereas loss of PKM2 suppresses tumor growth. However, the expression pattern of PKM1 and PKM2 in NEPCa remains largely unknown. Methods: Immunofluorescence (IF), immunohistochemistry (IHC), Western blot and RT-qPCR were conducted to examine the expression of PKM1 and PKM2 in both murine and human prostatic tissues. The bioinformatics analysis was done using the publicly available RNA-Seq data obtained from the cBioportal, the Cancer Genome Atlas (TCGA), and the Cancer Cell Line Encyclopedia websites (CCLE). Results: TRAMP is a widely used PCa mouse model. TRAMP mice develop prostatic intraepithelial neoplasia (PIN) and the tumors progress into NEPC following castration. We found that PKM1 expression was detected in normal prostate but not in the PIN lesions. In the TRAMP NEPC tumors, PKM1 expression was detected in the NE areas but not in the adjacent PIN lesions. Compared with the adjacent PIN, NEPC cells displayed lower PKM2 expression. Further, we examined the expression of PKM1 and PKM2 in human prostatic tissues including benign prostatic hyperplasia (BPH), low-grade adenocarcinomas (AdPCa), high-grade AdPCa, and NEPC. We found that in BPH, basal epithelial cells express both PKM1 and PKM2. In PCa, PKM1 was robustly expressed in the stromal cells but its expression was absent in the cancer cells in majority of the specimens examined except a small number of samples where low level of PKM1 was detected in the cancer cells. However, PKM1 expression was detected in 9 out of 12 NEPC samples and colocalized with NE marker chromogranin A. This co-expression was also detected in the NE cells scattered on the prostate adenocarcinoma tissues. As for PKM2, its expression was detected in all the samples examined. However, different from previous report, PKM2 expression levels did not correlate with cancer grade in this cohort. Conclusions: PKM1 is expressed in the basal epithelial cells of benign prostates, a small subset of prostate adenocarcinomas, and 75% NEPC tumors. PKM2 is expressed throughout prostate development, in both benign and cancerous prostate. However, PKM2 expression does not correlate with tumor grade.

The Warburg effect, i.e., the utilization of glycolysis under aerobic conditions, is recognized as a survival advantage of cancer cells. However, how the glycolytic activity is affected during drug resistance acquisition has not been explored at single-cell resolution. Because the relative ratio of the splicing isoform of pyruvate kinase M (PKM), PKM2/PKM1, can be used to estimate glycolytic activity, we utilized a single-molecule fluorescence in situ hybridization (SM-FISH) method to simultaneously quantify the mRNA levels of PKM1 and PKM2. Treatment of HCT116 cells with gefitinib (GE) resulted in two distinct populations of cells. However, as cells developed GE resistance, the GE-sensitive population with reduced PKM2 expression disappeared, and GE-resistant cells (Res) demonstrated enhanced PKM1 expression and a tightly regulated PKM2/PKM1 ratio. Our data suggest that maintaining an appropriate PKM2 level is important for cell survival upon GE treatment, whereas increased PKM1 expression becomes crucial in GE Res. This approach demonstrates the importance of single-cell-based analysis for our understanding of cancer cell metabolic responses to drugs, which could aid in the design of treatment strategies for drug-resistant cancers.

Nearly 100 years ago, Otto Warburg investigated the metabolism of growing tissues and discovered that tumors reprogram their metabolism. It is poorly understood whether and how hypertrophying muscle, another growing tissue, reprograms its metabolism too. Here, we studied pyruvate kinase muscle (PKM), which can be spliced into two isoforms (PKM1, PKM2). This is of interest, because PKM2 redirects glycolytic flux towards biosynthetic pathways, which might contribute to muscle hypertrophy too. We first investigated whether resistance exercise changes PKM isoform expression in growing human skeletal muscle and found that PKM2 abundance increases after six weeks of resistance training, whereas PKM1 decreases. Second, we determined that Pkm2 expression is higher in fast compared to slow fiber types in rat skeletal muscle. Third, by inducing hypertrophy in differentiated C2C12 cells and by selectively silencing Pkm1 and/or Pkm2 with siRNA, we found that PKM2 limits myotube growth. We conclude that PKM2 contributes to hypertrophy in C2C12 myotubes and indicates a changed metabolic environment within hypertrophying human skeletal muscle fibers. PKM2 is preferentially expressed in fast muscle fibers and may partly contribute to the increased potential for hypertrophy in fast fibers.

Affinity-based proteomic profiling is widely used for the identification of proteins involved in the formation of various interactomes. Since protein–protein interactions (PPIs) reflect the role of particular proteins in the cell, identification of interaction partners for a protein of interest can reveal its function. The latter is especially important for the characterization of multifunctional proteins, which can play different roles in the cell. Pyruvate kinase (PK), a classical glycolytic enzyme catalyzing the last step of glycolysis, exists in four isoforms: PKM1, PKM2, PKL, and PKR. The enzyme isoform expressed in actively dividing cells, PKM2, exhibits many moonlighting (noncanonical) functions. In contrast to PKM2, PKM1, predominantly expressed in adult differentiated tissues, lacks well-documented moonlighting functions. However, certain evidence exists that it can also perform some functions unrelated to glycolysis. In order to evaluate protein partners, bound to PKM1, in this study we have combined affinity-based separation of mouse brain proteins with mass spectrometry identification. The highly purified PKM1 and a 32-mer synthetic peptide (PK peptide), sharing high sequence homology with the interface contact region of all PK isoforms, were used as the affinity ligands. This proteomic profiling resulted in the identification of specific and common proteins bound to both affinity ligands. Quantitative affinity binding to the affinity ligands of selected identified proteins was validated using a surface plasmon resonance (SPR) biosensor. Bioinformatic analysis has shown that the identified proteins, bound to both full-length PKM1 and the PK peptide, form a protein network (interactome). Some of these interactions are relevant for the moonlighting functions of PKM1. The proteomic dataset is available via ProteomeXchange with the identifier PXD041321.

Head and neck cancers, including oral squamous cell carcinoma (OSCC), are the sixth most common malignancies worldwide. OSCC frequently leads to oral dysfunction, which worsens a patient’s quality of life. Moreover, its prognosis remains poor. Unlike normal cells, tumor cells preferentially metabolize glucose by aerobic glycolysis. Pyruvate kinase (PK) catalyzes the final step in glycolysis, and the transition from PKM1 to PKM2 is observed in many cancer cells. However, little is known about PKM expression and function in OSCC. In this study, we investigated the expression of PKM in OSCC specimens and performed a functional analysis of human OSCC cells. We found that the PKM2/PKM1 ratio was higher in OSCC cells than in adjacent normal mucosal cells and in samples obtained from dysplasia patients. Furthermore, PKM2 expression was strongly correlated with OSCC tumor progression on immunohistochemistry. PKM2 expression was higher during cell growth, invasion, and apoptosis in HSC3 cells, which show a high energy flow and whose metabolism depends on aerobic glycolysis and oxidative phosphorylation. PKM2 expression was also associated with the production of reactive oxygen species (ROS) and integration of glutamine into lactate. Our results suggested that PKM2 has a variety of tumor progressive functions in OSCC cells.

Alternative splicing of RNA is an underexplored area of transcriptional response. We expect that early changes in alternatively spliced genes may be important for responses to cardiac injury. Hypoxia inducible factor 1 (HIF1) is a key transcription factor that rapidly responds to loss of oxygen through alteration of metabolism and angiogenesis. The goal of this study was to investigate the transcriptional response after myocardial infarction (MI) and to identify novel, hypoxia-driven changes, including alternative splicing. After ligation of the left anterior descending artery in mice, we observed an abrupt loss of cardiac contractility and upregulation of hypoxic signaling. We then performed RNA sequencing on ischemic heart tissue 1 and 3 days after infarct to assess early transcriptional changes and identified 89 transcripts with altered splicing. Of particular interest was the switch in Pkm isoform expression (pyruvate kinase, muscle). The usually predominant Pkm1 isoform was less abundant in ischemic hearts, while Pkm2 and associated splicing factors (hnRNPA1, hnRNPA2B1, Ptbp1) rapidly increased. Despite increased Pkm2 expression, total pyruvate kinase activity remained reduced in ischemic myocardial tissue. We also demonstrated HIF1 binding to PKM by chromatin immunoprecipitation, indicating a direct role for HIF1 in mediating this isoform switch. Our study provides a new, detailed characterization of the early transcriptome after MI. From this analysis, we identified an HIF1-mediated alternative splicing event in the PKM gene. Pkm1 and Pkm2 play distinct roles in glycolytic metabolism and the upregulation of Pkm2 is likely to have important consequences for ATP synthesis in infarcted cardiac muscle.

Background: A keloid is composed of several nodules, which are divided into two zones: the central zone (CZ; a hypoxic region) and the marginal zone (MZ; a normoxic region). Keloid nodules play a key role in energy metabolic activity for continuous growth by increasing in number and total area. In this study, we aimed to investigate the roles of the zones in the execution of the Warburg effect and identify which microRNAs regulate this phenomenon in keloid tissue. Methods: Eleven keloids from patients were used. Using immunohistochemical analysis, 179 nodules were randomly chosen from these keloids to identify glycolytic enzymes, autophagic markers, pyruvate kinase M (PKM) 1/2, and polypyrimidine tract binding protein 1 (PTBP1). Western blot and qRT-PCR tests were also performed for PKM, PTBP1, and microRNAs (miR-133b and miR-200b, c). Results: Immunohistochemical analysis showed that the expression of the autophagic (LC3, p62) and glycolytic (GLUT1, HK2) were significantly higher in the CZ than in the MZ. PKM2 expression was significantly higher than PKM1 expression in keloid nodules. Furthermore, PKM2 expression was higher in the CZ than in the MZ. However, PKM1 and PTBP1 expression levels were higher in the MZ than in the CZ. The qRT-PCR analysis showed that miR-133b-3p was moderately downregulated in the keloids compared with its expression in the normal skin tissue. Conclusions: The Warburg effect occurred individually in nodules. The MZ presented PKM2-positive fibroblasts produced by activated PTBP1. In the CZ, PKM2-positive fibroblasts produced lactate. MiR-133b-3p was predicted to control the Warburg effect in keloids.

Serine and arginine rich splicing factor 3 (SRSF3), an SR-rich family protein, has an oncogenic function in various kinds of cancer. However, the detailed mechanism of the function had not been previously clarified. Here, we showed that the SRSF3 splicer regulated the expression profile of the pyruvate kinase, which is one of the rate-limiting enzymes in glycolysis. Most cancer cells express pyruvate kinase muscle 2 (PKM2) dominantly to maintain a glycolysis-dominant energy metabolism. Overexpression of SRSF3, as well as that of another splicer, polypyrimidine tract binding protein 1 (PTBP1) and heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1), in clinical cancer samples supported the notion that these proteins decreased the Pyruvate kinase muscle 1 (PKM1)/PKM2 ratio, which positively contributed to a glycolysis-dominant metabolism. The silencing of SRSF3 in human colon cancer cells induced a marked growth inhibition in both in vitro and in vivo experiments and caused an increase in the PKM1/PKM2 ratio, thus resulting in a metabolic shift from glycolysis to oxidative phosphorylation. At the same time, the silenced cells were induced to undergo autophagy. SRSF3 contributed to PKM mRNA splicing by co-operating with PTBP1 and hnRNPA1, which was validated by the results of RNP immunoprecipitation (RIP) and immunoprecipitation (IP) experiments. These findings altogether indicated that SRSF3 as a PKM splicer played a positive role in cancer-specific energy metabolism.

Abstract Pyruvate kinase M2 (PKM2) has been shown to promote tumorigenesis by facilitating the Warburg effect and enhancing the activities of oncoproteins. However, this paradigm has recently been challenged by studies in which the absence of PKM2 failed to inhibit and instead accelerated tumorigenesis in mouse models. These results seem inconsistent with the fact that most human tumors overexpress PKM2. To further elucidate the role of PKM2 in tumorigenesis, we investigated the effect of PKM2 knockout in oncogenic HRAS-driven urothelial carcinoma. While PKM2 ablation in mouse urothelial cells did not affect tumor initiation, it impaired the growth and maintenance of HRAS-driven tumors. Chemical inhibition of PKM2 recapitulated these effects. Both conditions substantially reduced complex formation of PKM2 with STAT3, their nuclear translocation, and HIF1α- and VEGF-related angiogenesis. The reduction in nuclear STAT3 in the absence of PKM2 also correlated with decreased autophagy and increased apoptosis. Time-controlled, inducible PKM2 overexpression in simple urothelial hyperplasia did not trigger tumorigenesis, while overexpression of PKM2, but not PKM1, in nodular urothelial hyperplasia with angiogenesis strongly accelerated tumorigenesis. Finally, in human patients, PKM2 was overexpressed in low-grade nonmuscle-invasive and high-grade muscle-invasive bladder cancer. Based on these data, PKM2 is not required for tumor initiation but is essential for tumor growth and maintenance by enhancing angiogenesis and metabolic addiction. The PKM2–STAT3–HIF1α/VEGF signaling axis may play a critical role in bladder cancer and may serve as an actionable therapeutic target. Significance: Genetic manipulation and pharmacologic inhibition of PKM2 in mouse urothelial lesions highlight its essential role in promoting angiogenesis and metabolic addiction, events indispensable for tumor growth and maintenance.

Pyruvate kinase (PK) is the final and rate-limiting enzyme in glycolysis. It has four isoforms PKM1, PKM2, PKL and PKR. PK can form homo tetramers, dimers or monomers. The tetrameric form has the most catalytic activity; however, the dimeric form has non-canonical functions that contribute to the inflammatory response, wound healing and cellular crosstalk. This brief review explores these functions and speculates on their role in periodontal disease.

Le métabolisme glycolytique joue un rôle essentiel dans les processus physiologiques normaux et dans la croissance des cellules cancéreuses. Les isoformes 1 et 2 de la pyruvate kinase musculaire, appelées PKM1/2, sont des protéines cruciales qui régulent ce métabolisme. La caractérisation de la dynamique structurelle de ces biomolécules est donc importante pour développer de nouveaux médicaments dirigés contre les formes exprimées dans les cellules tumorales. Pour ce faire, nous avons réalisé des simulations de dynamique moléculaire (DM) de ces deux protéines à haute résolution, en nous appuyant sur des techniques d'échantillonnage adaptatif couplées au champ de forces polarisable AMOEBA afin de comprendre la flexibilité conformationnelle de l'enzyme dans ses différents états d'oligomérisation. Nous proposons une analyse structurale à haute résolution pour PKM2 et apportons de nouvelles données structurales pour PKM1. En effet, nous étudions le processus d'oligomérisation de l'enzyme PKM2 (du monomère au tétramère) et nous sommes notamment attachés à analyser la structuration de sites structuraux clés, notamment le site actif et la poche de fixation du Fructose Biphosphate (FBP), un inducteur conformationnel physiologique. Nous montrons également que la fixation du TEPP-46, un activateur pharmacologique de PKM2, induit des modifications structurales très proches de celles induites par la fixation du FBP, bien que les domaines d'interaction soient distincts. Enfin, nous décrivons la première simulation DM à haute résolution de la forme active de PKM1, qui présente de fortes similitudes structurelles avec la forme tétramérique de PKM2 liée au FBP. Ces résultats fournissent de nouvelles informations sur la dynamique structurelle et la structuration des sites clés pendant l'oligomérisation de PKM2, qui pourraient s'avérer cruciales pour la découverte de nouvelles molécules actives
In both normal physiological processes and cancer cell growth, glycolytic metabolism plays a pivotal role. The Pyruvate Kinase Muscle isoforms 1 and 2, denoted PKM1/2, are crucial proteins that regulate this metabolism. Characterizing the structural dynamics of these biomolecules is thus imperative in order to develop new drugs targeting PMK enzymes in tumor cells. To address this, we performed extensive molecular dynamics (MD) simulations of these two proteins at high-resolution. To do so, we employed adaptive sampling techniques coupled with the polarizable AMOEBA force field to understand the conformational flexibility of the enzyme. We propose a high-resolution structural analysis for PKM2 and introduce structural insights for PKM1. We are studying the oligomerization process of the PKM2 enzyme (from monomer to tetramer) while focusing on the structuring of key structural sites, in particular the active site and the binding pocket for Fructose Biphosphate (FBP), a physiological conformational inducer. We also provide data explaining the impact of TEPP-46, a pharmacological activator, on PKM2 structure and their similarity with PKM2 bound to FBP in conformity to biological results. Finally, we propose the first high-resolution MD simulation of the biological active PKM1 and reveal important structural information in link with strong structural similarities with PKM2 when linked to FBP. These findings provide new insights concerning the structural dynamics and key sites structuration during PKM2 oligomerization that could be critical in drug discovery