| Literature DB >> 31244820 |
Selena Vigano1, Dimitrios Alatzoglou1, Melita Irving1, Christine Ménétrier-Caux2, Christophe Caux2, Pedro Romero3, George Coukos1.
Abstract
T cells play a critical role in cancer control, but a range of potent immunosuppressive mechanisms can be upregulated in the tumor microenvironment (TME) to abrogate their activity. While various immunotherapies (IMTs) aiming at re-invigorating the T-cell-mediated anti-tumor response, such as immune checkpoint blockade (ICB), and the adoptive cell transfer (ACT) of natural or gene-engineered ex vivo expanded tumor-specific T cells, have led to unprecedented clinical responses, only a small proportion of cancer patients benefit from these treatments. Important research efforts are thus underway to identify biomarkers of response, as well as to develop personalized combinatorial approaches that can target other inhibitory mechanisms at play in the TME. In recent years, adenosinergic signaling has emerged as a powerful immuno-metabolic checkpoint in tumors. Like several other barriers in the TME, such as the PD-1/PDL-1 axis, CTLA-4, and indoleamine 2,3-dioxygenase (IDO-1), adenosine plays important physiologic roles, but has been co-opted by tumors to promote their growth and impair immunity. Several agents counteracting the adenosine axis have been developed, and pre-clinical studies have demonstrated important anti-tumor activity, alone and in combination with other IMTs including ICB and ACT. Here we review the regulation of adenosine levels and mechanisms by which it promotes tumor growth and broadly suppresses protective immunity, with extra focus on the attenuation of T cell function. Finally, we present an overview of promising pre-clinical and clinical approaches being explored for blocking the adenosine axis for enhanced control of solid tumors.Entities:
Keywords: CD39; CD73; T cells; adenosine; cAMP; cancer immunotherapy; tumor microenvironment
Year: 2019 PMID: 31244820 PMCID: PMC6562565 DOI: 10.3389/fimmu.2019.00925
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Regulation of interstitial adenosine levels in injured tissue. Stress-induced, extracellular buildup of ATP or NAD+ fuels catabolic adenosine-generating pathways, such as the one mediated by CD39 and CD73. The activity of other ecto-nucleotidases including CD38, CD203a, ALP, and PAP, also contribute toward extracellular adenosine accumulation. Adenosine can also be produced intracellularly by SAHH-exerted hydrolysis of SAH, as well as by soluble CD73-mediated catabolism of AMP, and it can be exported by ENTs in a diffusion-limited manner. On the flip side, the combination of CD26-bound ADA activity and of adenosine cellular uptake, either through equilibrative ENTs or via concentrative CNTs, limits interstitial adenosine levels. Intracellularly, adenosine can be eliminated via its conversion to SAH by SAHH, to AMP by ADK, or to inosine by ADA. SAHH, S-adenosylhomocysteine hydrolase; SAH, S-Adenosylhomocysteine; ENTs, equilibrative nucleoside transporters; CNTs, concentrative nucleoside transporters; ADK, adenosine kinase; ADA, adenosine deaminase.
Figure 2Overview of the pleiotropic effects of adenosine in the TME. Adenosine enables tumor cells to escape immune-surveillance by limiting the functionality of multiple potentially protective immune infiltrates including T cells, DCs, NK cells, macrophages and neutrophils, while enhancing the activity of immunosuppressive cell-types, such as MDSCs and Tregs. In addition, adenosine not only assists tumor cells in co-opting adjacent fibroblasts for support, but also induces the formation of new blood vessels. Adenosine also affects the capacity of some tumor cell-types to survive, proliferate, migrate and invade neighboring tissues (HPC, bone marrow-derived hematopoietic progenitor cells).
Figure 3Approaches for blocking adenosinergic signaling in the TME. The inhibitory effects of adenosine in the TME can be circumvented by administration of mAbs or small molecules that target enzymes involved in the catabolism of ATP and NAD, such as CD39,CD73 and CD38, as well as by pharmacologic antagonists of A2AR and A2BR to block adenosine-mediated signaling. Whereas multiple such mAbs and pharmacologic inhibitors/antagonists display antitumor activity within murine models of solid tumors (Tables 1, 2), depicted are only those currently evaluated in patients with solid tumor malignancies (Table 3). Finally, treatments that reduce the extracellular export of ATP, such as oxygenation to reverse hypoxia, can attenuate adenosinergic signaling.
Evaluation of adenosine-axis blockade in murine models of solid malignancies.
| CD73 |
➣ mAbs: TY/23 ( 2C5 IgG2a ( Oleclumab ( AD2 ( ➣ Pharmacologic inhibitor: APCP ( |
➣ Breast: 4T1.2 ( E0771 ( LM3 MDA-MB-231 ➣ Melanoma: B16-SIY ( B16-F10 ( K1735 ( LWT1 ( ➣ Ovarian: ID8 ( ➣ Prostate: TRAMP-C1 ( RM-1 ( ➣ Colon: CT26 ( MC38-OVA ( ➣ Fibrosarcoma: MCA-induced ( ➣ Lymphoma: EG7 ( |
➣ Primary tumor expansionrate ↓ ( Host CD73 ( A2AR on hematopoietic cells ( T cells, NK cells or B cells ( T cells ( CD8 T cells ( IFN-γ ( IL-17A ( Partially retained inmice depleted of B cells ( Retained in perforin KO mice ( ➣ Metastasis formation ↓ ( Retained against tumor cells with significantly reduced CD73 ( Host CD73 ( MDSCs ( Retained in mice depleted of T cells or NK cells ( Retained in SCID mice lacking T cells, NK cells and functional B cells ( Host FcRIV ( FcR binding capacity ( Independent of the capacity to suppress CD73 catalytic activity ( ➣ Survival↑ ( | ↑ CD8+ T cells ( |
| CD39 |
➣ mAb: 9-8B ( ➣ Pharmacologic inhibitor: POM-1 ( |
➣ Melanoma: B16-F10 ( ➣ Colon: MCA38 ( ➣ Sarcoma: IGN-SRC- 004 |
➣ Primary tumor expansion rate ↓ ( Host CD39 ( ➣ Survival ↑ ( Retained in NOG mice lacking T cells, B cells, NK cells and functional macrophages ( | |
| CD38 |
➣ mAb: NIMR-5 ( ➣ Pharmacologic inhibitor: Rhein ( |
➣ Lung: 344SQ ( LLC-JSP ( 531LN3 ( |
➣ Primary tumor expansion rate ↓ ( CD8+ T cells ( | ↑ CD8+ T cells ( |
| Intratumoral hypoxia |
Respiratory hyperoxia (60% O2) ( |
➣ Breast: 4T1 ( ➣ Melanoma: B16 ( B16-F10 ( CL8-1 ( ➣ Fibrosarcoma: MCA205 ( |
➣ Primary tumor expansion rate ↓ ( ➣ Metastasis formation ↓ ( CD4 > CD8 > NK cells ( Host A2AR ( Independent of 60%O2-induced ROS production ( ➣ Survival ↑ ( |
↓ Hypoxia ( |
| A2AR |
➣ Antagonists: ZM241385 ( ZM241365 ( SCH58261 ( FSPTP ( CPI-444 ( PBF-509 ( |
➣ Breast: 4T1.2 ( ➣ Melanoma: B16-F10 ( CL8-1 ( BRAFV600E-PTEN-deficient mice ( LWT1 ( ➣ Colon: CT26 ( MC38 ( ➣ NSCLC: PC9 ➣ Bladder: MB49 ( ➣ HNSCC: Tgfbr1/Pten double KO ( ➣ Fibrosarcoma: MCA205 ( |
➣ Primary tumor expansion rate ↓ ( T cells ( Retained in NUDE micelackingT cells ( ➣ Metastasis formation ↓ ( Tumor CD73 ( Host A2AR ( T cells, B cells or NK cells ( Perforin ( ➣ Survival↑ ( CD8 T cells > NK cells ( | ↓ CD8+, CD4+ T cells ( |
| A2BR |
➣ Antagonists: PSB1115 ( ATL-801 ( |
➣ Breast: 4T1.2 ( E0771 ( ➣ Melanoma: B16-F10 ( LWT1 ( ➣ Bladder: MB49 ( |
➣ Primary tumor expansion rate ↓ ( Mature T cells ( T cells ( Host A2BR ( Host CXCR3 ( Retained in A2AR−/− mice ( Retained in mice depleted of MDSCs but lost upon adoptive transfer of MDSCs ( ➣ Metastasis formation ↓ ( Tumor CD73 ( Retained in RAG−/−cγ−/− mice lacking T cells, B cells and NK cells ( Retained in mice depleted of T cells, NK cells D11c+ DCs or macrophages ( ➣ Survival↑ ( Tumor A2BR ( Retained in mice depleted of T cells or NK cells ( | ↑ CD8+ T cells ( |
Patient-derived tumor cell lines, NSCLC, Non-Small-Cell LungCancer. HNSCC, Head and neck squamous cellcarcinoma.
X > Y: X contributes more than Y to the anti-tumor effect of adenosine axis modulation.
Evaluation of concomitant adenosine-axis blockade in murine models of solid malignancies.
| CD73 inhibition & A2AR antagonism |
➣ anti-CD73mAb: TY/23 ( ➣ A2AR pharmacologic antagonist: SCH58261 ( |
➣ Breast: 4T1.2 ( ➣ Melanoma: B16-F10 ( LWT1 ( |
➣ Metastasis formation ↓ ( ➣ Survival ↑ ( NK cells > CD8+ T cells ( IFN-γ ( Perforin (partial dependence) ( | |
| PD-1 ICB & CD73 inhibition |
➣ anti-PD-1mAb: RMP1-14 ( ➣ anti-CD73mAbs: Oleclumab ( TY/23 ( |
➣ Breast: 4T1.2 ( ➣ Colon: CT26 ( MC38 ( ➣ Prostate: RM-1 ( |
➣ Primary tumor expansion rate ↓ ( ➣ Survival ↑ ( | ↑ Tumor-specific CD8+ T cells ( |
| PD-1 ICB & CD38 inhibition |
➣ anti-PD-L1mAb: 9G2 ( ➣ anti-CD38mAb: NIMR-5 ( ➣ CD38 pharmacologic inhibitor: Rhein ( |
➣ Lung: 344SQ ( LLC-JSP ( |
➣ Primary tumor expansion rate ↓ ( ➣ Metastasis formation ↓ ( | ↑ CD8+ T cells ( |
| PD-1 ICB & A2AR antagonism |
➣ anti-PD-L1: 9G2 (mAb) ( B7-DC/Fc ( ➣ anti-PD-1mAb: RMP1-14 ( ➣ A2AR antagonists: SCH58261 ( ZM241385 ( SYN115 ( CPI-444 ( |
➣ Breast: AT3 ( 4T1.2 ( ➣ Melanoma: B16-F10 ( ➣ Colon: MC38 ( CT26 ( ➣ Lung: 344SQ ( LLC-JSP ( ➣ Lymphoma: EL4 ( |
➣ Primary tumor expansion rate ↓ ( IFN-γ ( Retained in perforin KO mice ( ➣ Metastasis formation ↓ ( Tumor CD73 ( NK cells > CD8+ T cells ( ➣ Survival ↑ ( CD8+ T cells > NK cells ( | ↑ IFN-γ+ CD8+ or tumor-specific T cells ( |
| PD-1 ICB & A2BR antagonism |
➣ anti-PD-1mAb: RMP1-14 ( ➣ A2BR antagonist: PSB1115 ( |
➣ Melanoma: B16-F10 ( ➣ Breast: 4T1.2 ( |
➣ Metastasis formation ↓ ( ➣ Survival ↑ ( | |
| CTLA-4 ICB & CD73 inhibition |
➣ anti-CTLA-4mAbs: 9H10 ( UC10-4F10 ( ➣ CD73 pharmacologic inhibitor: APCP ( ➣ anti-CD73mAb: TY/23 ( |
➣ Breast: 4T1.2 ( ➣ Melanoma: B16F10 ( ➣ Colon: MC38 ( ➣ Prostate: RM-1 ( |
➣ Primary tumor expansion rate ↓ ( CD8+ >> CD4+ T cells ( ➣ Survival ↑ ( | ↑ CD8+, CD4+ T cells ( |
| CTLA-4 ICB & A2AR antagonism |
➣ anti-CTLA-4mAb: 9H10 ( ➣ A2AR antagonist: ZM241365 ( |
➣ Melanoma: B16F10 ( |
➣ Primary tumor expansion rate ↓ ( | ↑ CD8+ T cells ( |
| CTLA-4 ICB & A2BR antagonism |
➣ anti-CTLA-4mAb: UC10-4F10 ( ➣ A2BR antagonist: PSB1115 ( |
➣ Breast: 4T1.2 ( ➣ Melanoma: B16-F10 ( |
➣ Metastasis formation ↓ ( ➣ Survival ↑ ( | |
| ACT & CD73 inhibition |
➣ T cells: 2C (SIY-specific) ( Reactive to ID8 ( OT-I (OVA-specific) ( ➣ CD73 pharmacologic inhibitor: APCP ( ➣ anti-CD73mAb: TY/23 ( |
➣ Melanoma: B16-SIY ( ➣ Ovarian: ID8 ( ➣ Lymphoma: EG7 (EL4-OVA) ( |
➣ Primary tumor expansion rate ↓ ( ➣ Survival ↑ ( | ↑ Adoptively transferred T cells ( |
| ACT & A2AR antagonism |
➣ T cells: anti-HER2 CAR+ ( OT-I (OVA-specific) ( TDLN-derived ( Reactive to CMS4 ( ➣ A2AR antagonists: CPI-444 ( ZM241385 ( KW6002 ( SCH58261 ( |
➣ Breast: E0771- HER2 ( ➣ Melanoma: B16-OVA ( ➣ Ovarian: ID8-OVA ( ➣ Fibrosarcoma: MCA205 ( 24JK-HER2 ( ➣ Sarcoma CMS4 ( |
➣ Primary tumor expansion rate ↓ ( PD-1 ICB ( IFN-γ ( ➣ Metastasis formation ↓ ( Non-myeloablative pretreatment ( ➣ Survival ↑ ( PD-1 ICB ( | ↑ Adoptively transferred T cells ( |
| ACT & intratumoral hypoxia aversion |
➣ Respiratory hyperoxia (60%O2) ➣ T cells: TDLN-derived ( |
➣ Melanoma: B16-F10 ( ➣ Fibrosarcoma: MCA205 ( |
➣ Primary tumor expansion rate ↓ ( Host A2AR ( ➣ Metastasis formation ↓ ( | ↑ Adoptively transferred T cells ( |
| Radiotherapy & CD73 inhibition |
➣ Radiotherapy: Single local dose of 20Gy ( ➣ anti-CD73mAb: Unspecified ( TY/23 ( |
➣ Breast: TSA ( |
➣ Primary tumor expansion rate ↓ ( BATF3 ( | ↑ CD103+DCs ( |
| Chemotherapy & CD73 inhibition |
➣ Chemotherapy: Doxorubicin ( Paclitaxel ( ➣ anti-CD73mAb: TY/23( |
➣ Breast: 4T1.2 ( AT3 ( |
➣ Primary tumor expansion rate ↓ ( Partially retained in SCID mice lacking T cells, NK cells and functional B cells ( CD8+ T cells ( ➣ Survival↑ ( | ↑ Tumor-specific CD8+ T cells ( |
| Chemotherapy & CD39 inhibition |
➣ Chemotherapy: Mitoxantrone ( Oxaliplatin ( ➣ CD39 pharmacologic inhibitor: ARL67156 ( |
➣ Colon: CT26 ( ➣ Fibrosarcoma: MCA205 ( |
➣ Primary tumor expansion rate ↓ ( T cells ( Knockdown of tumor Atg5 ( | ↑ Extracellular ATP ( |
| Chemotherapy & A2R antagonism |
➣ Chemotherapy: Doxorubicin ( Dacarbazine ( Oxaliplatin ( ➣ A2R antagonists: SCH58261(A2AR) ( PSB1115 (A2BR) ( AB928 (A2AR&A2BR) ( |
➣ Breast: 4T1.2 ( AT3 ( ➣ Melanoma: B16-F10 ( |
➣ Primary tumor expansion rate ↓ ( Tumor CD73 ( ➣ Survival ↑ ( | ↑ CD8+ T cells ( |
| Targeted therapy & CD73 inhibition |
➣ anti-ErbB2 mAb 7.16.4 ( ➣ anti-CD73 mAb TY/23 ( |
➣ Breast: H2N100 ( TUBO ( ErbB2-overexpressing mice ( |
➣ Primary tumor expansion rate ↓ ( Tumor CD73 ( B cells, T cells or NK cells ( ➣ Spontaneous tumor formation ↓ ( ➣ Metastasis formation ↓ ( ➣ Survival ↑ ( | ↑ CD8+ T cells ( |
| Targeted therapy & A2AR antagonism |
➣ BRAF inhibitor: PLX4720 ( ➣ MEK inhibitor: Trametinib ( ➣ A2AR antagonist: SCH58261 ( |
➣ Melanoma: BRAFV600E-PTEN-deficient mice ( BRAFV600E LWT1 ( |
➣ Primary tumor expansion rate ↓ ( ➣ Metastasis formation ↓ ( |
TDLN, tumor-draining lymphnode.
Clinical evaluation of adenosine-axis targeting in patients with solid tumors.
| CD73 | NCT02503774 | Oleclumab | I |
➣ Single agent | Advanced solid malignancies | MedImmune | 2015 |
|
➣ In combination with durvalumab (anti-PD-L1) | |||||||
| NCT03736473 | Oleclumab | I |
➣ Single agent | Advanced solid malignancies | AstraZeneca | 2018 | |
| NCT03773666 | Oleclumab | I |
➣ In combination with durvalumab (anti-PD-L1) | Muscle-invasive Bladder Cancer | Dana-Farber Cancer Institute | 2018 | |
| NCT03267589 | Oleclumab | II |
➣ In combination with durvalumab (anti-PD-L1) | Relapsed ovarian cancer | Nordic Society for Gynecologic Oncology | 2018 | |
| NCT03334617 | Oleclumab | II |
➣ In combination with durvalumab (anti-PD-L1) | PD-1/PD-L1 inhibition-resistant NSCLC | AstraZeneca | 2018 | |
| NCT03742102 | Oleclumab | Ib/II |
➣ In combination with durvalumab (anti-PD-L1) and paclitaxel (chemotherapy) | Metastatic Triple Negative Breast Cancer | AstraZeneca | 2018 | |
| NCT03611556 | Oleclumab | Ib/II |
➣ In combination with gemcitabine (chemotherapy) and nab-paclitaxel (chemotherapy) | Metastatic pancreatic cancer | MedImmune | 2018 | |
|
➣ In combination with gemcitabine and nab-paclitaxel and durvalumab (anti-PD-L1) | |||||||
|
➣ In combination with mFOLFOX (chemotherapy regimen comprising oxaliplatin, leucovorin, 5-FU) | |||||||
| NCT03381274 | Oleclumab | Ib/II |
➣ In combination with osimertinib (EGFRT790Minhibitor) | Advanced NSCLC | MedImmune | 2018 | |
|
➣ In combination with AZD4635 (A2Aantagonist) | |||||||
| NCT02754141 | BMS-986179 | I/IIa |
➣ Single agent | Advanced solid malignancies | Bristol-Myers Squibb | 2016 | |
|
➣ In combination with nivolumab (anti-PD-1) | |||||||
|
➣ In combination with rHuPH20 (drug deliveryenzyme) | |||||||
| NCT03454451 | CPI-006 | I/Ib |
➣ Single agent | Advanced solid malignancies | Corvus Pharmaceuticals | 2018 | |
|
➣ In combination with CPI-444 (A2Aantagonist) | |||||||
|
➣ In combination with pembrolizumab (anti-PD-1) | |||||||
| NCT03549000 | NZV930 | I/Ib |
➣ Single agent | Advanced solid malignancies | Novartis | 2018 | |
|
➣ In combination with spartalizumab (anti-PD-1) | |||||||
|
➣ In combination with NIR178 (A2Aantagonist) | |||||||
|
➣ In combination with NIR178 andspartalizumab | |||||||
| CD38 | NCT03473730 | Daratumumab | I |
➣ Single agent | Metastatic Renal Cell Carcinoma or Muscle Invasive Bladder Cancer | M.D. Anderson Cancer Center | 2017 |
| A2A | NCT02403193 | NIR178 | I/Ib |
➣ Single agent | Advanced NSCLC | Palobiofarma | 2015 |
|
➣ In combination with spartalizumab (anti-PD-1) | |||||||
| NCT03207867 | NIR178 | II |
➣ Single agent | Advanced solid malignancies | Novartis | 2017 | |
|
➣ In combination with spartalizumab (anti-PD-1) | |||||||
| NCT03742349 | NIR178 | Ib |
➣ In combination with spartalizumab (anti-PD-1) and LAG525(anti-LAG3) | Triple-negative Breast Cancer | Novartis | 2018 | |
| NCT02655822 | CPI-444 | I/Ib |
➣ Single agent | Advanced solid malignancies | Corvus Pharmaceuticals | 2016 | |
|
➣ In combination with atezolizumab (anti-PD-L1) | |||||||
| NCT03337698 | CPI-444 | Ib/II |
➣ Single agent | Metastatic NSCLC | Hoffmann-La Roche | 2017 | |
|
➣ In combination with atezolizumab (anti-PD-L1) | |||||||
| NCT02740985 | AZD4635 | I |
➣ Single agent | Advanced solid malignancies | AstraZeneca | 2016 | |
|
➣ In combination with durvalumab (anti-PD-L1) | |||||||
| A2B | NCT03274479 | PBF-1129 | I |
➣ Single agent | Advanced NSCLC | Palobiofarma | 2018 |
NSCLC, non-small-cell lung cancer.
Mentioned are schemes comprising at least one adenosine-axis modulator.