| Literature DB >> 35883815 |
Yongquan Tang1,2, Zhe Zhang2, Yan Chen2, Siyuan Qin2, Li Zhou2, Wei Gao3, Zhisen Shen4.
Abstract
Undue elevation of ROS levels commonly occurs during cancer evolution as a result of various antitumor therapeutics and/or endogenous immune response. Overwhelming ROS levels induced cancer cell death through the dysregulation of ROS-sensitive glycolytic enzymes, leading to the catastrophic depression of glycolysis and oxidative phosphorylation (OXPHOS), which are critical for cancer survival and progression. However, cancer cells also adapt to such catastrophic oxidative and metabolic stresses by metabolic reprograming, resulting in cancer residuality, progression, and relapse. This adaptation is highly dependent on NADPH and GSH syntheses for ROS scavenging and the upregulation of lipolysis and glutaminolysis, which fuel tricarboxylic acid cycle-coupled OXPHOS and biosynthesis. The underlying mechanism remains poorly understood, thus presenting a promising field with opportunities to manipulate metabolic adaptations for cancer prevention and therapy. In this review, we provide a summary of the mechanisms of metabolic regulation in the adaptation of cancer cells to oxidative stress and the current understanding of its regulatory role in cancer survival and progression.Entities:
Keywords: cancer stemness; metabolic adaptation; metabolic reprogramming; oxidative stress; tumor metastasis
Year: 2022 PMID: 35883815 PMCID: PMC9311581 DOI: 10.3390/antiox11071324
Source DB: PubMed Journal: Antioxidants (Basel) ISSN: 2076-3921
Figure 1Oxidative stress and metabolic impairment in cancer cells. Mitochondria contribute the most to both physiology- and pathology-derived ROS, of which a fraction is generated by tricarboxylic acid cycle (TCA) enzymes, while the major portion is produced along the electron transport chain (ETC) due to electron leakage at complexes I, II, and III. NOXs are another major source of ROS production in cancer cells. These ROS-generating enzymes function by transmitting one electron from cytosolic NADPH to O2 to produce a superoxide anion radical (O2•−) that can be transformed to H2O2 immediately by superoxide dismutase (SOD) families. There are seven human NOX homologues, NOX1–5, dual oxidase 1 (DUOX1), and DUOX2, distributed at the cell membrane, mitochondria, ER, and nucleus. They can be activated by a wide variety of ligands, such as tumor necrosis factor (TNF), angiotensin II, platelet-derived growth factor (PDGF), and pro-epidermal growth factor (EGF). The endoplasmic reticulum (ER) serves as a repository wherein nascent proteins are folded and modified, in which disulfide bond formation is essential for the primary structure of proteins and is catalyzed by protein disulfide isomerase (PDI), which can be reduced by ER oxidoreductases, represented by oxidoreductase 1 (ERO1), to generate H2O2 as a byproduct. Furthermore, several glycolytic enzymes are vulnerable to elevated ROS levels and can be inactivated by redox modification, such as glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and pyruvate kinase M2 isoform (PKM2), which collaboratively cause metabolic stress characterized by a deficiency of carbon sources for ATP generation, lactate secretion, and TCA-driven anabolic biosynthesis.
Figure 2Activation of ROS sensors and metabolic modulators. NRF2-Kelch-like ECH-associated protein 1 (KEAP1) system represents the paradigmatic reactive oxygen species (ROS) sensor apparatus. Under normal conditions, NRF2 is degraded by the KEAP1–Cullin 3 (CUL3) E3 ligase complex. During oxidative stress, the KEAP1 system is directly modified by ROS, which leads to conformational changes in the KEAP1–CUL3 complex, thus disabling ubiquitination and degradation of NRF2. During normoxia, the proline residues of hypoxia-inducible factor α (HIFα) are hydroxylated by prolyl hydroxylases (PHDs) in the presence of oxygen (O2), iron (Fe2+) and α-ketoglutarate. Under hydroxylation, HIFα is polyubiquitylated by the von Hippel–Lindau tumor suppressor protein (pVHL) complex and guided for proteasomal degradation. Homodimers of IKKγ can be formed through ROS-induced disulfide bonds, thus potentiating its downstream effect on NF-κB. The PI3K-AKT pathway can be stimulated by ROS through phosphorylation and inhibition of tensin homolog (PTEN). In addition, AKT also controls the activity of NRF2, HIFα, NF-κB, and FOXO. The FOXO family are activated by ROS signaling but inhibited by the canonical insulin receptor through PI3K/AKT in the presence of growth factors. Furthermore, ASK1/JNK pathways mediate FOXO activation upon oxidative stress, in which ROS-induced homodimers of ASK1 directly lead to the activation of JNK, a kinase predominantly facilitating the nuclear translocation and activation of FOXO through phosphorylation.
Figure 3Metabolic adaptation to oxidative stress and metabolic impairment. Several metabolic enzymes are vulnerable to elevated reactive oxygen species (ROS) levels, including glyceraldehyde-3-phosphate dehydrogenase (GAPDH), pyruvate kinase M2 isoform (PKM2), and mitochondrial trifunc-tional protein subunit β (TPβ). Metabolic adaptation during oxidative stress depends on the collaboration of several metabolic modulators that serve to promote metabolic reprograming through regulating the expression of metabolic enzymes. The transcriptions of a host of enzymes in the pentose phosphate pathway (PPP), the serine (Ser)-one carbon pathway, the glutathione pathway (GSH), and glutaminolysis are driven by nuclear factor erythroid 2-related factor 2 (NRF2), including hexokinase 2 (HK2), glucose-6-phosphate dehydrogenase (G6PD), phosphogluconate dehydrogenase (PGD), transaldolase (TALDO), transketolase (TKT), putrescine aminopropyltransferase (PAPT), methylenetetrahydrofolate dehydrogenase 2 (MTHFD2), phosphoglycerate dehydrogenase (PHGDH), phosphoserine phosphatase (PSDH), phosphoserine aminotransferase 1 (PSAT1), serine hydroxymethyltransferase 2 (SHMT2), glutamate-cysteine ligase (GCL), cystine/glutamate transporter (xCT), solute carrier family 1 member 5 (GLC1A5), and malic enzyme 1 (ME1), while several other enzymes involved in the de novo synthesis of fatty acids are transcriptionally inhibited by NRF2, such as acetyl-CoA carboxylase 1 (ACC1), ATP-citrate lyase (ACL), and fatty acid synthase (FAS). Hypoxia-inducible factor (HIF) members promote the expression of enzymes involved in anaerobic glycolysis, de novo synthesis of fatty acids, and glutaminolysis, including glucose transporters (GLUTs), GAPDH, PKM, siah E3 ubiquitin protein ligase 2 (SIAH2), pyruvate dehydrogenase kinase (PDK), lactate dehydrogenase A (LDHA), and glutaminase GLS; on the other hand, HIFs inhibit the expression of enzymes governing the degradation of fatty acids, such as acyl-CoA dehydrogenase long chain (LCAD) and acyl-CoA dehydrogenase medium chain (MCAD). Several enzymes involved in the PPP, degradation of fatty acids, and glutaminolysis, including GLUT, PGD, TALDO, ribulose-5-phosphate-3-epimerase (RPE), acetyl-CoA synthetase (ACSS), and glutamate dehydrogenase (GDH), are transcriptionally activated by forkhead box protein O (FOXO). Nuclear factor-κB (NF-κB) promotes the transcription of PKM and glutamic-oxaloacetic transaminase 2 (GOT2). In addition, the activity of TKT, PDK, and ACL is regulated by Serine/Threonine Kinase 1 (AKT). G-6P, glucose-6-phosphate; 6P-GL, glucono-1,5-lactone-6-phosphate; 6P-G, gluconate-6-phosphate; RL-5P, ribulose-5-phosphate; R-5P, ribose-5-phosphate; IMP, inosine 5’-monophosphate; F-6P, fructose-6-phosphate; GA-3P, glyceraldehyde-3-phosphate; 3P-P, 3-Phosphonooxypyruvate; Gly, glycine; Me-THF, methylenetetrahydrofolate; Cys, cysteine; Glu, glutamate; 1, 3BP-G, glycerate-1, 3-biphosphate; 3P-G, glycerate-3-phosphate; PEP, Phosphoenolpyruvate; MCTs, monocarboxylate transporters; PDH, pyruvate dehydrogenase; A-CoA, acetyl-CoA; OAA, oxaloacetate; α-KG, α-ketoglutarate; OGDH, oxoglutarate dehydrogenase; Gln, glutamine; FA, fatty acid; OXPHOS, oxidative phosphorylation; CD36, fatty acid translocase; M-CoA, malonyl-CoA; FABP, fatty acid binding protein.
Figure 4Metabolic adaptation-linked cancer stemness and progression. Cancer cells may present distinct metabolic phenotypes (oxidative phosphorylation, OXPHOS, or Warburg) or biofunctions (tumorigenesis or metastasis) at certain reactive oxygen species (ROS) levels, depending on the circumstances and intrinsic responses. For example, at normal ROS levels, cancer cells of the OXPHOS phenotype depend on aerobic glycolysis, glutaminolysis, and lipolysis for fueling tricarboxylic acid cycle (TCA)-coupled OXPHOS. This highly efficient usage of nutrients for ATP generation facilitates the survival, rather than the proliferation, of cancer cells when facing a shortage of these nutrients (A). On the other hand, cancer cells of the Warburg phenotype at normal ROS levels also depend on glycolysis primarily for supporting lactate production and TCA-coupled biosynthesis, rather than OXPHOS, such as the de novo synthesis of amino acids and fatty acids, which is known to facilitate proliferation of cancer cells (B). Cancer cells during metastasis and tumor initiation share similarly high ROS conditions and metabolic phenotypes. Extensive ROS blocks aerobic glycolysis, resulting in lactate accumulation (C,D) and perhaps pentose phosphate pathway (PPP) activation when proliferation is required in tumorigenesis (C). On the other hand, glutamine uptake and glutathione (GSH) generation are upregulated (C,D). In addition, TCA function is recovered by glutaminolysis and lipolysis when proliferation requires reactivation for tumorigenesis (C). PPP, pentose phosphate pathway; GSH, glutathione.