Single-cell RNA sequencing reveals distinct cellular factors for response to immunotherapy targeting CD73 and PD-1 in colorectal cancer

Background Although cancer immunotherapy is one of the most effective advanced-stage cancer therapies, no clinically approved cancer immunotherapies currently exist for colorectal cancer (CRC). Recently, programmed cell death protein 1 (PD-1) blockade has exhibited clinical benefits according to ongoing clinical trials. However, ongoing clinical trials for cancer immunotherapies are focused on PD-1 signaling inhibitors such as pembrolizumab, nivolumab, and atezolizumab. In this study, we focused on revealing the distinct response mechanism for the potent CD73 ectoenzyme selective inhibitor AB680 as a promising drug candidate that functions by blocking tumorigenic ATP/adenosine signaling in comparison to current therapeutics that block PD-1 to assess the value of this drug as a novel immunotherapy for CRC. Methods To understand the distinct mechanism of AB680 in comparison to that of a neutralizing antibody against murine PD-1 used as a PD-1 blocker, we performed single-cell RNA sequencing of CD45+ tumor-infiltrating lymphocytes from untreated controls (n=3) and from AB680-treated (n=3) and PD-1-blockade-treated murine CRC in vivo models. We also used flow cytometry, Azoxymethane (AOM)/Dextran Sulfate Sodium (DSS) models, and in vitro functional assays to validate our new findings. Results We initially observed that the expressions of Nt5e (a gene for CD73) and Entpd1 (a gene for CD39) affect T cell receptor (TCR) diversity and transcriptional profiles of T cells, thus suggesting their critical roles in T cell exhaustion within tumor. Importantly, PD-1 blockade significantly increased the TCR diversity of Entpd1-negative T cells and Pdcd1-positive T cells. Additionally, we determined that AB680 improved the anticancer functions of immunosuppressed cells such as Treg and exhausted T cells, while the PD-1 blocker quantitatively reduced Malat1high Treg and M2 macrophages. We also verified that PD-1 blockade induced Treg depletion in AOM/DSS CRC in vivo models, and we confirmed that AB680 treatment caused increased activation of CD8+ T cells using an in vitro T cell assay. Conclusions The intratumoral immunomodulation of CD73 inhibition is distinct from PD-1 inhibition and exhibits potential as a novel anticancer immunotherapy for CRC, possibly through a synergistic effect when combined with PD-1 blocker treatments. This study may contribute to the ongoing development of anticancer immunotherapies targeting refractory CRC.

[1]  J. Dang,et al.  Effect of cabazitaxel on macrophages improves CD47-targeted immunotherapy for triple-negative breast cancer , 2021, Journal for ImmunoTherapy of Cancer.

[2]  J. Schlom,et al.  Vaccine Increases the Diversity and Activation of Intratumoral T Cells in the Context of Combination Immunotherapy , 2021, Cancers.

[3]  D. Schadendorf,et al.  Serum CD73 is a prognostic factor in patients with metastatic melanoma and is associated with response to anti-PD-1 therapy , 2020, Journal for ImmunoTherapy of Cancer.

[4]  Wun-Jae Kim,et al.  TOX-expressing terminally exhausted tumor-infiltrating CD8+ T cells are reinvigorated by co-blockade of PD-1 and TIGIT in bladder cancer. , 2020, Cancer letters.

[5]  T. Hamaguchi,et al.  Current status and perspectives of immune checkpoint inhibitors for colorectal cancer. , 2020, Japanese journal of clinical oncology.

[6]  Ker-Chau Li,et al.  The M1/M2 spectrum and plasticity of malignant pleural effusion-macrophage in advanced lung cancer , 2020, Cancer Immunology, Immunotherapy.

[7]  H. Prenen,et al.  An update on the use of immunotherapy in patients with colorectal cancer , 2020, Expert review of gastroenterology & hepatology.

[8]  F. Balaguer,et al.  Current Treatments of Metastatic Colorectal Cancer with Immune Checkpoint Inhibitors—2020 Update , 2020, Journal of clinical medicine.

[9]  S. S. Chauhan,et al.  Expression pattern, regulation, and clinical significance of TOX in breast cancer , 2020, Cancer Immunology, Immunotherapy.

[10]  S. Jalkanen,et al.  Prognostic impact of CD73 expression and its relationship to PD-L1 in patients with radically treated pancreatic cancer , 2020, Virchows Archiv.

[11]  N. Walker,et al.  Discovery of AB680 - A Potent and Selective Inhibitor of CD73. , 2020, Journal of medicinal chemistry.

[12]  A. Zaravinos,et al.  High expression of immune checkpoints is associated with the TIL load, mutation rate and patient survival in colorectal cancer , 2020, International journal of oncology.

[13]  Z. Cooper,et al.  Conversion of ATP to adenosine by CD39 and CD73 in multiple myeloma can be successfully targeted together with adenosine receptor A2A blockade , 2020, Journal for immunotherapy of cancer.

[14]  J. Bowser,et al.  CD73's Potential as an Immunotherapy Target in Gastrointestinal Cancers , 2020, Frontiers in Immunology.

[15]  Mirjana Efremova,et al.  CellPhoneDB: inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes , 2020, Nature Protocols.

[16]  D. Allard,et al.  On the mechanism of anti-CD39 immune checkpoint therapy , 2020, Journal for ImmunoTherapy of Cancer.

[17]  Patrycja Czerwińska,et al.  Therapeutic melanoma vaccine with cancer stem cell phenotype represses exhaustion and maintains antigen-specific T cell stemness by up-regulating BCL6 , 2020, Oncoimmunology.

[18]  Alex Diaz-Papkovich,et al.  UMAP reveals cryptic population structure and phenotype heterogeneity in large genomic cohorts , 2019, PLoS genetics.

[19]  C. Eng,et al.  Role of immune checkpoint inhibitors in the treatment of colorectal cancer: focus on nivolumab , 2019, Expert opinion on biological therapy.

[20]  Ping Wang,et al.  Tumor CD73/A2aR adenosine immunosuppressive axis and tumor‐infiltrating lymphocytes in diffuse large B‐cell lymphoma: correlations with clinicopathological characteristics and clinical outcome , 2019, International journal of cancer.

[21]  Amber T. Pham,et al.  An Exceptionally Potent Inhibitor of Human CD73. , 2019, Biochemistry.

[22]  L. Galluzzi,et al.  TIM-3 Dictates Functional Orientation of the Immune Infiltrate in Ovarian Cancer , 2019, Clinical Cancer Research.

[23]  Allon M Klein,et al.  Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data. , 2019, Cell systems.

[24]  C. Power,et al.  Malat1 long noncoding RNA regulates inflammation and leukocyte differentiation in experimental autoimmune encephalomyelitis , 2019, Journal of Neuroimmunology.

[25]  E. Chu,et al.  Recent Advances in the Clinical Development of Immune Checkpoint Blockade Therapy for Mismatch Repair Proficient (pMMR)/non‐MSI‐H Metastatic Colorectal Cancer , 2018, Clinical colorectal cancer.

[26]  A. Butte,et al.  Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage , 2018, Nature Immunology.

[27]  Burkhard Tümmler,et al.  Faculty Opinions recommendation of A single-cell atlas of the airway epithelium reveals the CFTR-rich pulmonary ionocyte. , 2018, Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature.

[28]  A. Jemal,et al.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.

[29]  A. Hotson,et al.  A2AR Antagonism with CPI-444 Induces Antitumor Responses and Augments Efficacy to Anti–PD-(L)1 and Anti–CTLA-4 in Preclinical Models , 2018, Cancer Immunology Research.

[30]  Allon M. Klein,et al.  A single cell atlas of the tracheal epithelium reveals the CFTR-rich pulmonary ionocyte , 2018, Nature.

[31]  L. Emens,et al.  Targeting adenosine for cancer immunotherapy , 2018, Journal of Immunotherapy for Cancer.

[32]  R. Goldberg,et al.  Promising New Agents for Colorectal Cancer , 2018, Current Treatment Options in Oncology.

[33]  Paul Hoffman,et al.  Integrating single-cell transcriptomic data across different conditions, technologies, and species , 2018, Nature Biotechnology.

[34]  W. Xue,et al.  Metformin-Induced Reduction of CD39 and CD73 Blocks Myeloid-Derived Suppressor Cell Activity in Patients with Ovarian Cancer. , 2018, Cancer research.

[35]  Jonathan L. Schmid-Burgk,et al.  MAPK Signaling and Inflammation Link Melanoma Phenotype Switching to Induction of CD73 during Immunotherapy. , 2017, Cancer research.

[36]  Cheng Li,et al.  GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses , 2017, Nucleic Acids Res..

[37]  S. Robson,et al.  The ectonucleotidases CD39 and CD73: Novel checkpoint inhibitor targets , 2017, Immunological reviews.

[38]  Alberto Mantovani,et al.  Tumour-associated macrophages as treatment targets in oncology , 2017, Nature Reviews Clinical Oncology.

[39]  Andrew J. Hill,et al.  Single-cell mRNA quantification and differential analysis with Census , 2017, Nature Methods.

[40]  Grace X. Y. Zheng,et al.  Massively parallel digital transcriptional profiling of single cells , 2016, Nature Communications.

[41]  W. Huber,et al.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.

[42]  N. Neff,et al.  Quantitative assessment of single-cell RNA-sequencing methods , 2013, Nature Methods.

[43]  H. Kestler,et al.  The Early Activation Marker CD69 Regulates the Expression of Chemokines and CD4 T Cell Accumulation in Intestine , 2013, PloS one.

[44]  C. Lewis,et al.  Macrophage regulation of tumor responses to anticancer therapies. , 2013, Cancer cell.

[45]  Zhi-ren Zhang,et al.  Macrophages in Tumor Microenvironments and the Progression of Tumors , 2012, Clinical & developmental immunology.

[46]  B. Robinson,et al.  Programmed Death Ligand 2 in Cancer-Induced Immune Suppression , 2012, Clinical & developmental immunology.

[47]  J. Moreira,et al.  Differential Macrophage Activation Alters the Expression Profile of NTPDase and Ecto-5′-Nucleotidase , 2012, PloS one.

[48]  T. Whiteside,et al.  Generation and Accumulation of Immunosuppressive Adenosine by Human CD4+CD25highFOXP3+ Regulatory T Cells* , 2009, The Journal of Biological Chemistry.

[49]  Brad T. Sherman,et al.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists , 2008, Nucleic acids research.

[50]  C. Mottet,et al.  CD4+CD25+Foxp3+ regulatory T cells: from basic research to potential therapeutic use. , 2007, Swiss medical weekly.

[51]  Manfred Thiel,et al.  Physiological control of immune response and inflammatory tissue damage by hypoxia-inducible factors and adenosine A2A receptors. , 2004, Annual review of immunology.

[52]  T. Choueiri,et al.  Adenosine 2A Receptor Blockade as an Immunotherapy for Treatment-Refractory Renal Cell Cancer , 2019 .

[53]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[54]  M. Bours,et al.  Adenosine 5'-triphosphate and adenosine as endogenous signaling molecules in immunity and inflammation. , 2006, Pharmacology & therapeutics.