| Literature DB >> 30781344 |
Catarina Roma-Rodrigues1, Rita Mendes2, Pedro V Baptista3, Alexandra R Fernandes4.
Abstract
Cancer development is highly associated to the physiological state of the tumor microenvironment (TME). Despite the existing heterogeneity of tumors from the same or from different anatomical locations, common features can be found in the TME maturation of epithelial-derived tumors. Genetic alterations in tumor cells result in hyperplasia, uncontrolled growth, resistance to apoptosis, and metabolic shift towards anaerobic glycolysis (Warburg effect). These events create hypoxia, oxidative stress and acidosis within the TME triggering an adjustment of the extracellular matrix (ECM), a response from neighbor stromal cells (e.g., fibroblasts) and immune cells (lymphocytes and macrophages), inducing angiogenesis and, ultimately, resulting in metastasis. Exosomes secreted by TME cells are central players in all these events. The TME profile is preponderant on prognosis and impacts efficacy of anti-cancer therapies. Hence, a big effort has been made to develop new therapeutic strategies towards a more efficient targeting of TME. These efforts focus on: (i) therapeutic strategies targeting TME components, extending from conventional therapeutics, to combined therapies and nanomedicines; and (ii) the development of models that accurately resemble the TME for bench investigations, including tumor-tissue explants, "tumor on a chip" or multicellular tumor-spheroids.Entities:
Keywords: Tumor microenvironment; cancer therapy; models for tumor microenvironment study; nanomedicines; tumor development
Mesh:
Year: 2019 PMID: 30781344 PMCID: PMC6413095 DOI: 10.3390/ijms20040840
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Anatomy of the tumor microenvironment (TME). (A) The TME of a late stage solid tumor is highly heterogeneous and complex. (B) Exosomes play important roles in paracrine and autocrine communication between TME cells, being preponderant in the modulation and development of the tumor. Exosomes are also involved in the transformation of normal cells adjacent to the TME into tumor cells. The extracellular matrix (ECM) in the TME is frequently dense and stiff, resulting in desmoplasia. (C) The rapid growth of tumor cells results in hypoxic regions and lack of nutrients within the tumor, causing the Warburg effect. This metabolic shift into anaerobic glycolytic pathway results in acidification of the TME. (D) The rapid growth of tumor cells induces angiogenesis and consequent formation of chaotic branching structures. Stromal cells (including Cancer-associated fibroblasts and mesenchymal stromal cells) and cells from the immune system (both lymphoid and myeloid lineage cells) are important players in tumor development and prognosis.
Figure 2Strategies used to target tumor microenvironment for cancer therapy.
Therapeutic agents targeting angiogenesis in interventional phase 3 and 4 clinical trials currently recruiting or not yet recruiting. Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 18 January 2019).
| VEGF 1/VEGFR 2 Targeting Therapeutic Agent | Therapeutic Strategy | Cancer Type | Clinical Trial Reference (Phase) |
|---|---|---|---|
| Bevacizumab (Apatinib) | Bevacizumab (anti-VEGF) in a chemotherapeutic cocktail with 5-Fu, Folinic acid, Panitumumab and intra-arterial vs. intravenous Oxaliplatin | Colorectal neoplasms | NCT02885753 (3) |
| Cisplatin with Etoposide vs. Cisplatin, Etoposide and Bevacizumab | Small cell lung cancer | NCT03100955 (3) | |
| Bevacizumab vs. placebo | Thyroid cancer | NCT03048877 (3) | |
| Bevacizumab as second line treatment | Intrahepatic Cholangiocarcinoma | NCT03251443 (3) | |
| LY01008 and Bevacizumab | LY01008 (anti-VEGF antibody) with Carboplatin/Paclitaxel vs. Bevacizumab with Carboplatin/Paclitaxel | Non-small cell lung cancer | NCT03533127 (3) |
| Cediranib | Olaparib (PARP inhibitor) with Cediranib (VEGF-A inhibitor) or Olaparib alone | Ovarian cancer | NCT03278717 (3) |
| Ramucirumab (LY3009806) | Ramucirumab (anti-VEGFR) with Paclitaxel vs. Placebo with Paclitaxel | Gastric adenocarcinoma | NCT02898077 (3) |
| Aflibercept | Injection of Aflibercept (anti-VEGF) vs. placebo injection | Ocular melanoma | NCT03172299 (3) |
| Everolimus (RAD001) | Everolimus (m-TOR inhibitor) alone | Renal cell carcinoma | NCT01206764 (4) |
1 VEGF, Vascular endothelial growth factor; 2 VEGFR, Vascular endothelial growth factor receptor
Therapeutic agents targeting macrophages and myeloid-derived suppressive cells recruitment in interventional clinical trials currently recruiting or not yet recruiting. Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 16 January 2019).
| Therapeutic Agent | Therapeutic Agent Description | Cancer Type | Clinical Trial Reference (Phase) |
|---|---|---|---|
| Pexidartinib (PLX3397) | CSF-1R 1 inhibitor | Advanced solid tumors | NCT02734433 (-) |
| ARRY-382 | CSF-1R inhibitor | Advanced solid tumors | NCT02880371 (2) |
| BLZ945 | CSF-1R inhibitor | Advanced solid tumors | NCT02829723 (1/2) |
| JNJ-40346527 | CSF-1R inhibitor | Prostate cancer | NCT03177460 (1) |
| Emactuzumab | CSF-1R antibody | Squamous cell carcinoma | NCT03708224 (2) |
| DCC-3014 | CSF-1R inhibitor | Advanced malignant neoplasm | NCT03069469 (1) |
| Chiauranib | Tyrosine kinase inhibitor | Ovarian cancer | NCT03166891 (1) |
| IMC-CS4 | CSF-1R blocking agent | Pancreatic cancer | NCT03153410 (1) |
| Cabiralizumab | CSF-1R antibody | Pancreatic cancer | NCT03697564 (2) |
| SNDX-6352 (UCB6352) | CSF-1R antibody | Advanced malignant neoplasm | NCT03238027 (1) |
| PD 0360324 | CSF-1 antibody | Ovarian cancer | NCT02948101 (2) |
| Nilotinib | Tyrosine kinase inhibitor | Malignant solid neoplasms | NCT02029001 (2) |
| Lacnotuzumab (MCS110) | CSF-1 antibody | Melanoma | NCT03455764 (1/2) |
1 CSF-1R, Colony-stimulating factor-1 receptor.
Therapeutic agents targeting interleukin-1 or interleukin-1 receptor in interventional clinical trials currently recruiting or not yet recruiting. Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 16 January 2019).
| Therapeutic Agent | Therapeutic Strategy | Cancer Type | Clinical Trial Reference (Phase) |
|---|---|---|---|
| Anakinra (Kineret) | Combined with Nab-paclitaxel, Gemcitabine, Cisplatin | Pancreatic cancer | NCT02550327 (1) |
| Alone | Multiple myeloma | NCT03233776 (2) | |
| Canakinumab (Ilaris) | Alone | 1 NSCLC | NCT03447769 (3) |
| Chemotherapeutic cocktail with or without Canakinumab | NSCLC | NCT03631199 (3) | |
| Possible use of Canakinumab with Spartalizumab and LAG525 | 2 TNBC | NCT03742349 (1) | |
| Docetaxel with Canakinumab vs. Docetaxel with placebo | NSCLC | NCT03626545 (3) | |
| Possible use with PDR001 | Colorectal cancer/TNBC/NSCLC | NCT02900664 (1) | |
| Possible use with PDR001, cisplatin, pemetrexed and carboplatin | NSCLC | NCT03064854 (1) | |
| Possible use with PDR001 | Melanoma | NCT03484923 (2) |
1 NSCLC, Non-small cell lung cancer; 2 TNBC, Triple negative breast cancer.
Therapeutic agents for combinatorial therapy targeting the immune check point Programmed death 1 (PD-1) and angiogenesis in interventional clinical trials currently recruiting or not yet recruiting. Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 16 January 2019).
| Therapeutic Strategy | Cancer Type | Phase | Clinical Trial Reference |
|---|---|---|---|
| HLX10 (anti-PD-1 1) + HLX04 (anti-VEGF 2) | Solid tumor | 1 | NCT03757936 |
| SHR-1210 (anti-PD-1) with Bevacizumab (anti-VEGFR) | Gastric and hepatocellular cancer | 1/2 | NCT02942329 |
| Atezolizumab (anti-PD-L1) with Bevacizumab (anti-VEGF) | Digestive, respiratory and intrathoracic organs tumors | 2 | NCT03074513 |
| Atezolizumab (PD-L1 inhibitor), Bevacizumab (anti-VEGF) and Cobimetinib (MEK 3 inhibitor) | Ovarian and fallopian tube cancer and peritoneal carcinoma | 2 | NCT03363867 |
| PLD 4 with Atezolizumab (PD-L1 inhibitor) vs. PLD with Bevacizumab (anti-VEGF) and Atezolizumab vs. PLD with Bevacizumab | Ovarian, fallopian tube and peritoneal carcinoma | 2/3 | NCT02839707 |
| Sintilimab (anti-PD-1) with IBI305 (anti-VEGF), Pemetrexed and Cisplatin vs. Sintilimab with IBI305 and Pemetrexed vs. Pemetrexed and Cisplatin | Non-squamous non-small cell lung cancer | 3 | NCT03802240 |
| Bevacizumab (anti-VEGF) with Carboplatin and Pemetrexed vs. Bevacizumab with Atezolizumab (anti-PD-1), Carboplatin and Pemetrexed | Pleural mesothelioma malignant advanced | 3 | NCT03762018 |
1 PD-1, Programmed death receptor 1; 2 VEGF, Vascular endothelial growth factor; 3 MEK, Mitogen-activated protein kinase (involved in cancer cells proliferation); 4 PLD, Pegylated liposomal doxorubicin hydrochloride.
Tyrosine kinase inhibitors used alone or in combinatorial therapy in interventional clinical trials currently recruiting or not yet recruiting. Data acquired from the U.S. National library of medicine (http://clinicaltrials.gov, accessed on 16 January 2019).
| Tyrosine Kinase Inhibitor | Inhibited Tyrosine Kinases | Therapeutic Strategy/Objective | Cancer Type | Phase | Clinical Trial Reference |
|---|---|---|---|---|---|
| Sitravatinib (MGCD516) | c-Met, AXL, MER, VEGFR 1, PDGFR 2, DDR2, TRK 3, Eph 4 | Dosage and clinical activity of Sitravatinib | Advanced cancer | 1/1b | NCT02219711 |
| Sitravatinib with Nivolumab (Opdivo, anti-PD-1 5) | Renal cell cancer | 1/2 | NCT03015740 | ||
| Axitinib (AG-013736) | VEGFR1-3, c-KIT, PDGFR | Avelumab (anti-PD-1) with Axitinib | Non-small cell lung or urothelial cancer | 2 | NCT03472560 |
| Sandostatin LAR with Axitinib vs. with placebo | Neuroendocrine tumors | 2/3 | NCT01744249 | ||
| Cabozantinib | c-Met, VEGFR | Nivolumab (anti-PD-1) vs. Nivolumab with Cabozantinib | Renal cell carcinoma | 3 | NCT03793166 |
| Lenvatinib | VEGFR1-3 | Lenvatinib with Pembrolizumab (anti-PD-1) vs. Paclitaxel or Doxorubicin | Endometrial neoplasms | 3 | NCT03517449 |
1 VEGFR, Vascular endothelial growth factor receptor; 2 PDGFR, Platelet-derived growth factor receptor; 3 TRK, Tropomyosin receptor kinase; 4 Eph, Ephrin receptor; 5 PD-1, Programmed death receptor 1.
Figure 3A single nanomaterial (e.g., nanoparticles) can be functionalized with different moieties to target different cell populations in the TME (tumor and stromal cells), enabling a combined strategy for cancer therapeutics. CAFs, Cancer-associated fibroblasts; FRβ, folate-receptor beta; PI-88, Phosphomanno-pentose sulfate.
Figure 4Main properties of in vitro 2D and 3D culture systems [187,188]. CAF, Cancer-associated fibroblast; ECM, Extracellular matrix.
Summary of currently available 3D culture models of cancer.
| Culture Model | Composition | Major Advantages | Major Disadvantages | References |
|---|---|---|---|---|
| Tumor tissue explants | Tumor collected from a biopsy and placed on a collagen matrix | Maintenance of tumor architecture | Difficulty on maintaining the culture for more than 3 weeks | Reviewed in [ |
| Organoid cultures from tissue explants | Long-lasting culture | Poorly resembles TME 1 and disease progression | ||
| “Tumor on a chip” | co-cultures of tumor cells with other cell types to organs | TME 1 reproduction with the movement of biological fluids | Size limited | Reviewed in [ |
| Multicellular Tumor Spheroids (MCTS) | Spheroids composed by mono- or co-culture aggregates | TME 1 reproduction | Fail in reproducing ECM architecture | Reviewed in [ |
| Spheroids composed by mono- or co-cultures on a scaffold | TME 1 reproduction | Low reproducibility |
1 TME, tumor microenvironment; 2 ECM, extracellular matrix.