| Literature DB >> 34350119 |
Gilberto Gastelum1,2, Mysore Veena1,2, Kylee Lyons1, Christopher Lamb1, Nicole Jacobs1, Alexandra Yamada1, Alisher Baibussinov1, Martin Sarafyan1, Rebeka Shamis2, Jeffry Kraut1,2, Patrick Frost1,2.
Abstract
Multiple myeloma (MM) is an incurable cancer arising from malignant plasma cells that engraft in the bone marrow (BM). The physiology of these cancer cells within the BM microenvironment (TME) plays a critical role in MM development. These processes may be similar to what has been observed in the TME of other (non-hematological) solid tumors. It has been long reported that within the BM, vascular endothelial growth factor (VEGF), increased angiogenesis and microvessel density, and activation of hypoxia-induced transcription factors (HIF) are correlated with MM progression but despite a great deal of effort and some modest preclinical success the overall clinical efficacy of using anti-angiogenic and hypoxia-targeting strategies, has been limited. This review will explore the hypothesis that the TME of MM engrafted in the BM is distinctly different from non-hematological-derived solid tumors calling into question how effective these strategies may be against MM. We further identify other hypoxia-mediated effectors, such as hypoxia-mediated acidification of the TME, oxygen-dependent metabolic changes, and the generation of reactive oxygen species (ROS), that may prove to be more effective targets against MM.Entities:
Keywords: acid base regulation; bone marrow microenvironment; hypoxia and apoptosis; multiple myeloma; pH balance
Year: 2021 PMID: 34350119 PMCID: PMC8327776 DOI: 10.3389/fonc.2021.703878
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Summary table comparing oxygen-related similarities and differences between hematological and solid tumors.
| Hematological malignancies | Solid tumors | |
|---|---|---|
| Major Types |
Leukemia (develops in the bone marrow and travels through the bloodstream affecting blood cells) Lymphoma (develops and affects cells in the lymphatic system including lymphocytes and lymph nodes) Myeloma (develops in the bone marrow and affects plasma cells) |
Sarcomas (tumors in a blood vessel, lymph vessel, ligament, bone, muscle, tendon or fat tissue) Carcinomas (tumors in epithelial cells; skin, glands and linings of organs like bladder and kidneys) |
| Response to Hypoxia | It was initially thought that hematological malignancies acted the same as solid tumors, but after targeting VEGF and angiogenesis with moderate success, research has switched to more modern approaches including targeting pH and metabolism | Neovascularization (angiogenesis) |
| For MM, this is probably due to the already hypoxic environment of the BM paired with the large blood vessels present, reducing the viability of angiogenesis and micro vessel density playing a role in tumorigenesis. | ||
| Physiological | Hematological malignancies do not show clear oxygen-dependent regions. Instead, clonal cells get dispersed unevenly based on anatomy (more clones at extramedullary sites). | Solid tumors have distinct and spatially heterogenous regions. There are three types of tissue regions based on oxygen distribution: Normoxic (well-oxygenated), Hypoxic (oxygen-insufficient) and Necrotic/Anoxic (oxygen- depleted). |
| The malignant plasma cells here grow independent of another and thus do not form a solid nodule. | Malignant cells grow in conjunction to each other, forming a solid mass. | |
| Cellular | Hematological malignancies adapt by inducing various gene expression patterns, including stabilization of HIF. However, the success of targeting HIF in these malignancies has not been especially effective (as noted for solid tumors). | Solid tumor cancer cells can adapt to changes in the microenvironment by inducing expression of various genes. HIF-1 is one such master regulator of the adaptive cellular hypoxic response. |
| Metabolism | In MM and other hematological malignancies, glycolysis is adjusted in a series of ways: Hexokinase II(HKII) is overexpressed, 3-bromopyruvate (3BP) has alkylation properties and can inhibit HKII leading to reduced ATP production and viability, PKM2 (an isoform form of Pyruvate Kinase) is upregulated, Acetyl-CoA is increased, lactate is present, all resulting in acidosis. | Glucose is fundamental for a cell’s metabolism as it leads to glycolysis which leads to the tricarboxylic acid cycle (TCA) and then oxidative phosphorylation allows for the production of ATP. Tumorigenesis relies greatly on the shift in glucose metabolism: from oxidative phosphorylation back to glycolysis even in a state of sufficient oxygen. Glycolysis is an inefficient metabolic pathway for normal cells, but has advantages for tumor cells. |
| Glutaminolysis appears to be enhanced in MM cells, related to the idea that MM cells are glutamine addicted. This appears to be related to the hypoxic environment of the BM. The MYC oncogene is upregulated in MM, which also enhances expression of glutamine transporters and represses inhibitors of Glutaminolysis. | Glutamine is critical for cells to function, as it enhances proliferation, differentiation, cytokine production and apoptosis. Glutaminolysis is the glutamine equivalent to glycolysis, as they both result in energy production and nucleotide synthesis. Glutaminolysis specifically results in amino acid synthesis and fatty acid synthesis. | |
| “Reverse Warburg effect” describes MM cells and their supply or lactate from the surrounding environment. | Together, Glycolysis and Glutaminolysis mechanisms enable the growth and survival of the solid cancer cell. | |
| Another thing to note is the Warburg effect, which is essentially an enhanced aerobic glycolysis due to the hypoxic environment of tumor cells, but it can occur under normoxic conditions too. |
Summary table comparing HIF/hypoxia gene expression in various solid and hematological tumors.
| Gene | Breast | Lung | Prostate | Colorectal | Bladder | Renal | Multiple myeloma |
|---|---|---|---|---|---|---|---|
| HIF | Increased expression is associated with worse prognosis ( | May play a role in maintaining tumor cell growth and metastasis ( | Like in breast cancer, HIF expression is associated with worse prognosis ( | May play a role in maintaining tumor cell growth ( | Moderate correlation with HIF ( | Frequently seen cancer type with VHL syndrome ( | Reported to be elevated in MM samples and correlates with poor prognosis ( |
| VHL | Not noted as being critical in breast cancer | Not noted as being critical in lung cancer | Not noted as being critical in prostate cancer | Not noted as being critical in colorectal cancer | Not noted as being critical in bladder cancer | Frequently seen cancer type with VHL syndrome ( | Not noted as being critical in MM progression. |
| VEGF | Frequently elevated and associated with worse prognosis | Frequently elevated and associated with worse prognosis | Frequently elevated and associated with worse prognosis | Frequently elevated and associated with worse prognosis | Frequently elevated and associated with worse prognosis | Frequently elevated and associated with worse prognosis | Reported to be elevated in MM samples and correlates with poor prognosis ( |
| PHD 1-3 | Down regulated and correlated to worse prognosis ( | May be a potential prognostic factor for lung cancer ( | May be a potential prognostic factor for prostate cancer ( | Frequently down regulated and correlated to worse prognosis ( | Not noted as being critical in bladder cancer | Associated with changes in VHL syndrome ( | Frequently silenced in MM ( |
| CAIX | Associated with poor prognosis and disease progress ( | Correlated with increased risk of relapse ( | Associated with poor prognosis and disease progress ( | Not noted as being critical in colorectal cancer | Associated with poor prognosis and disease progress ( | Associated with changes in VHL syndrome ( | Upregulated in MM cell lines. Inhibition of CAIX activity sensitizes MM cells to hypoxia mediated apoptosis ( |
Most solid cancers will develop regions of hypoxia and will likely exhibit increased HIF and related gene products. It remains unclear if this is an expected outcome of “normal” tumor progress or is related to a genetic lesion associated with activation of an oncogene or inactivation of a tumor suppressor gene. In general, the prognosis and progression of most cancers directly correlate with altered hypoxia-related gene expression when compared to non-malignant cells.