| Literature DB >> 31737570 |
Karen G de la Cruz-López1,2,3, Leonardo Josué Castro-Muñoz1,2, Diego O Reyes-Hernández4,5, Alejandro García-Carrancá2,3, Joaquín Manzo-Merino2,5,6.
Abstract
Tumor cells must generate sufficient ATP and biosynthetic precursors in order to maintain cell proliferation requirements. Otto Warburg showed that tumor cells uptake high amounts of glucose producing large volumes of lactate even in the presence of oxygen, this process is known as "Warburg effect or aerobic glycolysis." As a consequence of such amounts of lactate there is an acidification of the extracellular pH in tumor microenvironment, ranging between 6.0 and 6.5. This acidosis favors processes such as metastasis, angiogenesis and more importantly, immunosuppression, which has been associated to a worse clinical prognosis. Thus, lactate should be thought as an important oncometabolite in the metabolic reprogramming of cancer. In this review, we summarized the role of lactate in regulating metabolic microenvironment of cancer and discuss its relevance in the up-regulation of the enzymes lactate dehydrogenase (LDH) and monocarboxilate transporters (MCTs) in tumors. The goal of this review is to expose that lactate is not only a secondary product of cellular metabolic waste of tumor cells, but also a key molecule involved in carcinogenesis as well as in tumor immune evasion. Finally, the possible targeting of lactate production in cancer treatment is discussed.Entities:
Keywords: acidification; immune response; lactate; therapy; tumor microenvironment (TME)
Year: 2019 PMID: 31737570 PMCID: PMC6839026 DOI: 10.3389/fonc.2019.01143
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Figure 1Role of lactate in cancer. Excessive production of lactate by both, tumor and stromal cells, is associated with increased aggressiveness due to the extracellular acidification that also induces invasion and metastasis, inhibition of the antitumor immune response and resistance to therapy. Moreover, this lactate can be used as an alternative source of fuel by tumor cells.
Lactate quantification in tumors and their association with metastatic spread.
| Head and neck cancer | Cryobiopsies from head and neck tumors, either with metastatic spread or without | With metastatic spread: 12.3 ± 3.3 μmol/g | Quantitative bioluminescence imaging | ( |
| Without metastatic spread: 4.7 ± 1.5 μmol/g | ||||
| Head and neck cancer | Cryobiopsies from tumors from the head and neck | With metastatic spread: 19.9 μmol/g | Quantitative bioluminescence imaging | ( |
| Without metastatic spread: 7.1 μmol/g | ||||
| Cervical cancer | Cryobiopsies at first diagnosis | With metastatic spread: 10.0 ± 2.9 μmol/g | Quantitative bioluminescence imaging | ( |
| Without metastatic spread: 6.3 ± 2.8 μmol/g | ||||
| Colorectal cancer | Cryobiopsies from primary rectal adenocarcinoma | With metastatic spread: 13.4 ± 3.8 μmol/g | Quantitative imaging bioluminescence | ( |
| Without metastatic spread: 6.9 μmol/g | ||||
| Breast cancer | Cryobiopsies from locally advanced breast cancer | Median concentration range of 0.6–8.0 μmol/g | Quantitative imaging bioluminescence | ( |
| Metastatic non-small cell lung cancer | Venous and arterial blood sample | Median maximal levels was 1.8 ± 2.2 mmol/L | Enzymatic method | ( |
| Human astrocytomas | Cyst content | With metastatic spread: 12.35 mmol/L | Enzymatic method | ( |
| Without metastatic spread: 8.28 mmol/L | ||||
| Head and neck squamous carcinoma | Xenograft in nude mice | More radioresistant tumor ranged 7.3–25.9 μmol/g | Quantitative imaging bioluminescence | ( |
| Head and neck squamous, melanoma, rectum carcinoma and adenocarcinoma | Xenograft in nude mice | Median concentration in central areas: 7 μmol/g | Quantitative imaging bioluminescence | ( |
| Median concentration in the periphery region: 0.5 μmol/g |
Figure 2Metabolic symbiosis. Solid tumors are characterized by metabolic heterogeneity. Glycolytic tumor cancers are sustained by a favorable location with high nutritional availability. This phenotype is regulated by a differential expression of MCTs, where glycolytic cells preferentially express MCT4 favoring lactate export. Meanwhile, oxidative cells express MCT1 transporter which preferentially promotes lactate import. Then, lactate is used by these cells as an energetic source due to its conversion to pyruvate which enters the TCA cycle in the mitochondria. The presence of lactate allows a metabolic symbiosis between hypoxic cancer cells (glycolytic) and with normoxic cancer cells (oxidative).
Figure 3Reverse Warburg effect. Tumor microenvironment (TME) is an ultrastructure consisting of different cell types including tumor cells, stromal cells, immune cells, blood vessels and cellular metabolites such as lactate. TME promotes different processes aimed to enforce metabolic adaptability, oxidative stress, nutrient competition, immune surveillance. This adaptability to hypoxic and acidic environments stimulates tumor malignancy. Tumor cells and cancer associated fibroblasts (CAFs) with a glycolytic phenotype represent the principal source of lactate production within TME which is favored by the presence of GLUT1. Additionally, CAFs exhibit high expression of MCT4 dedicated to lactate export. In this way, CAFs can interchange lactate with oxidative tumor cells which use lactate as a fuel through the TCA cycle. This phenomenon is known as reverse Warburg effect.
Figure 4Role of lactate in immune suppression. Lactate secretion by tumor cells promotes acidification of the tumor microenvironment (represented in yellow color). This acidification of the medium, reduces the pH within the immune cells affecting signaling pathways finally causing inhibition of the activation and proliferation of CD4, CD8, NK, NKT, and dendritic cells. Moreover, lactate-induced acidification causes apoptosis in CD8 lymphocytes and NK cells, thus lactate contributes to immune evasion. Furthermore, the acidification of the medium causes the polarization of the macrophages toward the M2 subpopulation, which favors growth, invasion and migration of the tumor.
Approaches for inhibit lactate production and transport.
| 5 designed peptides (QLYNL, LIYNLL, IYNLLK, KVVYNVA, and KVVYNV) | LDHA tetramerization inhibition, affecting the activity of the enzyme | None | ( | ||
| Compound 24 | 24c interacts directly with the binding pocket of LDHA affecting the activity of the enzyme | Pancreas carcinoma (MiaPaCa-2) | Pre-clinical | No limitations were shown, indeed 24c did not affect the body weight of the mice, indicating low toxicity of the compound | ( |
| 1-(Phenylseleno)- 4-(Trifluoromethyl) Benzene (PSTMB) | This allosteric inhibitor of LDHA modifies the pyruvate binding site due to conformational changes on the enzyme by non-competition inhibition | Large cell lung cancer (NCI-H460) | Pre-clinical | No limitations were shown, even in normal human bronchial epithelial BEAS-2B cells, the cytotoxic effect of PSTMB was limited | ( |
| Oxamate siRNA LDHA gene | Oxamate is a non-competitive inhibitor which has same the structure of pyruvate, this compound inhibits LDHA activity Small interfering RNA use to regulate the expression of LDHA gene | Breast cancer (MCF-7 and T47D) | Pre-clinical | No limitations were shown | ( |
| Compounds 5 and 11 | Both compounds maintain the same hydrogen bond interactions with LDHA, however 11c has extra interactions which could give rise to its inhibitory activity against LDHA | Osteosarcoma (MG-63) | Pre-clinical | No limitations were shown, however further experiments with different cancer models are needed to ensure its biological efficacy | ( |
| OxamateGalloflavin | Oxamate a non-competitive inhibitor hinders | Liver cancer (PLC/PRF/5) | Pre-clinical | No limitations were shown | ( |
| siRNA LDHA geneFX11FK866 | Small interfering RNAs for knocking-down the expression of LDHA gene | B-lymphoid cells (P493) Pancreatic cancer (P198) | Pre-clinical | The combination of both compounds was toxic for P493 cells causing a reduction of mitochondrial membrane potential resulting in profound inhibition of cell proliferation In the | ( |
| AZD3965 | Selective inhibitor of human MCT1 with additional activity against MCT2 | Human diffuse large B-cell lymphomas (HBL-1 and TMD8) | Pre-clinical | This potent inhibitor of MCT1 showed a reduction in growth of different cell lines especially hematological types. Although the inhibitory effect, some types of cancers express both transporters MCT1 and MCT4, in this regard MCT4 may be continuing the lactate transport suggesting a resistance to the monotherapy | ( |
| AR-C155858 | Selective monocarboxylate transporter (MCT1 and MCT2) which affects lactate uptake in a time dependent manner with slow reversible features | Murine breast cancer cell line, 4T1 | Pre-clinical | No limitations were shown | ( |
| CHC (α-cyano-4-hydroxycinnamic acid)DIDS (4,4′-diisothiocyanatostilbene-2,2′-disulphonic acid) Quercetin | CHC inhibits different | Colorectal cancer cells (HCT15 and RKO) | Pre-clinical | Tested compounds are wide MCT inhibitors | ( |
| BAY-8002 | Selective inhibition MCT1 which potently suppress bidirectional lactate transport | Hematopoietic malignancies, Raji, and Daudi Burkitt lymphoma cells | Pre-clinical | A limited antitumor efficacy was observed in the | ( |
| Syrosingopine | Increases intracellular lactate due the inhibition of both MCT transporters (MCT1 and MCT4) | HeLa, HAP1, HL60 cells, liver tumor mouse model | Pre-clinical | No limitations were shown | ( |