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- W4310858866 abstract "•Immunostimulatory tumor monocytes (Tu.Mons) highly express type I IFN-stimulated genes•CD88/Sca-1 distinguish stimulatory “Tu.Mon1” from suppressive “Tu.Mon2” cells in mice•cGAS/STING-dependent cancer cell-derived type I IFNs drive Tu.Mon1 polarization•Tu.Mon1 polarization is associated with anti-PD-1 therapy response in mice and humans Monocytes are highly plastic immune cells that modulate antitumor immunity. Therefore, identifying factors that regulate tumor monocyte functions is critical for developing effective immunotherapies. Here, we determine that endogenous cancer cell-derived type I interferons (IFNs) control monocyte functional polarization. Guided by single-cell transcriptomic profiling of human and mouse tumors, we devise a strategy to distinguish and separate immunostimulatory from immunosuppressive tumor monocytes by surface CD88 and Sca-1 expression. Leveraging this approach, we show that cGAS-STING-regulated cancer cell-derived IFNs polarize immunostimulatory monocytes associated with anti-PD-1 immunotherapy response in mice. We also demonstrate that immunosuppressive monocytes convert into immunostimulatory monocytes upon cancer cell-intrinsic cGAS-STING activation. Consistently, we find that human cancer cells can produce type I IFNs that polarize monocytes, and our immunostimulatory monocyte gene signature is enriched in patient tumors that respond to anti-PD-1 immunotherapy. Our work exposes a role for cancer cell-derived IFNs in licensing monocyte functions that influence immunotherapy outcomes. Monocytes are highly plastic immune cells that modulate antitumor immunity. Therefore, identifying factors that regulate tumor monocyte functions is critical for developing effective immunotherapies. Here, we determine that endogenous cancer cell-derived type I interferons (IFNs) control monocyte functional polarization. Guided by single-cell transcriptomic profiling of human and mouse tumors, we devise a strategy to distinguish and separate immunostimulatory from immunosuppressive tumor monocytes by surface CD88 and Sca-1 expression. Leveraging this approach, we show that cGAS-STING-regulated cancer cell-derived IFNs polarize immunostimulatory monocytes associated with anti-PD-1 immunotherapy response in mice. We also demonstrate that immunosuppressive monocytes convert into immunostimulatory monocytes upon cancer cell-intrinsic cGAS-STING activation. Consistently, we find that human cancer cells can produce type I IFNs that polarize monocytes, and our immunostimulatory monocyte gene signature is enriched in patient tumors that respond to anti-PD-1 immunotherapy. Our work exposes a role for cancer cell-derived IFNs in licensing monocyte functions that influence immunotherapy outcomes. Monocytes are a prominent population of circulating immunecells that respond to tissue-derived cues during inflammation.1Guilliams M. Mildner A. Yona S. Developmental and functional heterogeneity of monocytes.Immunity. 2018; 49: 595-613https://doi.org/10.1016/j.immuni.2018.10.005Abstract Full Text Full Text PDF PubMed Scopus (340) Google Scholar,2Jakubzick C.V. Randolph G.J. Henson P.M. Monocyte differentiation and antigen-presenting functions.Nat. Rev. Immunol. 2017; 17: 349-362https://doi.org/10.1038/nri.2017.28Crossref PubMed Scopus (428) Google Scholar Depending on the context, monocytes become immunosuppressive or immunostimulatory, influencing neighboring immune cells like T lymphocytes in cancer.1Guilliams M. Mildner A. Yona S. Developmental and functional heterogeneity of monocytes.Immunity. 2018; 49: 595-613https://doi.org/10.1016/j.immuni.2018.10.005Abstract Full Text Full Text PDF PubMed Scopus (340) Google Scholar,2Jakubzick C.V. Randolph G.J. Henson P.M. Monocyte differentiation and antigen-presenting functions.Nat. Rev. Immunol. 2017; 17: 349-362https://doi.org/10.1038/nri.2017.28Crossref PubMed Scopus (428) Google Scholar,3Augier S. Ciucci T. Luci C. Carle G.F. Blin-Wakkach C. Wakkach A. Inflammatory blood monocytes contribute to tumor development and represent a privileged target to improve host immunosurveillance.J. Immunol. 2010; 185: 7165-7173https://doi.org/10.4049/jimmunol.0902583Crossref PubMed Scopus (52) Google Scholar,4Gabrilovich D.I. Myeloid-derived suppressor cells.Cancer Immunol. Res. 2017; 5: 3-8https://doi.org/10.1158/2326-6066.cir-16-0297Crossref PubMed Scopus (0) Google Scholar Monocytic cells are frequently the most abundant immune cells in solid tumors5Cheng S. Li Z. Gao R. Xing B. Gao Y. Yang Y. Qin S. Zhang L. Ouyang H. Du P. et al.A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells.Cell. 2021; 184: 792-809.e23https://doi.org/10.1016/j.cell.2021.01.010Abstract Full Text Full Text PDF PubMed Scopus (169) Google Scholar and are associated with oncogenesis in multiple cancer types.6Lee Y.-Y. Choi C.H. Sung C.O. Do I.-G. Huh S. Song T. Kim M.K. Kim H.-J. Kim T.-J. Lee J.-W. et al.Prognostic value of pre-treatment circulating monocyte count in patients with cervical cancer: comparison with SCC-Ag level.Gynecol. Oncol. 2012; 124: 92-97https://doi.org/10.1016/j.ygyno.2011.09.034Abstract Full Text Full Text PDF PubMed Scopus (69) Google Scholar,7Li Z.-M. Huang J.-J. Xia Y. Sun J. Huang Y. Wang Y. Zhu Y.-J. Li Y.-J. Zhao W. Wei W.-X. et al.Blood lymphocyte-to-monocyte ratio identifies high-risk patients in diffuse large B-cell lymphoma treated with R-CHOP.PLoS One. 2012; 7: e41658https://doi.org/10.1371/journal.pone.0041658Crossref PubMed Scopus (121) Google Scholar,8Hu P. Shen H. Wang G. Zhang P. Liu Q. Du J. Prognostic significance of systemic inflammation-based lymphocyte- monocyte ratio in patients with lung cancer: based on a large cohort study.PLoS One. 2014; 9: e108062https://doi.org/10.1371/journal.pone.0108062Crossref PubMed Scopus (114) Google Scholar,9Eo W.K. Chang H.J. Kwon S.H. Koh S.B. Kim Y.O. Ji Y.I. Kim H.-B. Lee J.Y. Suh D.S. Kim K.H. et al.The lymphocyte-monocyte ratio predicts patient survival and aggressiveness of ovarian cancer.J. Cancer. 2016; 7: 289-296https://doi.org/10.7150/jca.13432Crossref PubMed Scopus (43) Google Scholar,10Wilcox R.A. Ristow K. Habermann T.M. Inwards D.J. Micallef I.N.M. Johnston P.B. Colgan J.P. Nowakowski G.S. Ansell S.M. Witzig T.E. et al.The absolute monocyte and lymphocyte prognostic score predicts survival and identifies high-risk patients in diffuse large-B-cell lymphoma.Leukemia. 2011; 25: 1502-1509https://doi.org/10.1038/leu.2011.112Crossref PubMed Scopus (150) Google Scholar,11Stotz M. Pichler M. Absenger G. Szkandera J. Arminger F. Schaberl-Moser R. Samonigg H. Stojakovic T. Gerger A. The preoperative lymphocyte to monocyte ratio predicts clinical outcome in patients with stage III colon cancer.Br. J. Cancer. 2014; 110: 435-440https://doi.org/10.1038/bjc.2013.785Crossref PubMed Scopus (240) Google Scholar Therefore, deciphering the molecular and functional heterogeneity of tumor monocytes is imperative for developing efficacious immunotherapies. The current understanding of tumor monocytes is mainly attributed to their immunosuppressive capacity.4Gabrilovich D.I. Myeloid-derived suppressor cells.Cancer Immunol. Res. 2017; 5: 3-8https://doi.org/10.1158/2326-6066.cir-16-0297Crossref PubMed Scopus (0) Google Scholar,12Hegde S. Leader A.M. Merad M. MDSC: markers, development, states, and unaddressed complexity.Immunity. 2021; 54: 875-884https://doi.org/10.1016/j.immuni.2021.04.004Abstract Full Text Full Text PDF PubMed Scopus (78) Google Scholar,13Veglia F. Sanseviero E. Gabrilovich D.I. Myeloid-derived suppressor cells in the era of increasing myeloid cell diversity.Nat. Rev. Immunol. 2021; 21: 485-498https://doi.org/10.1038/s41577-020-00490-yCrossref PubMed Scopus (281) Google Scholar Suppressive tumor monocytes are molecularly distinct from peripheral monocytes14Halaby M.J. Hezaveh K. Lamorte S. Ciudad M.T. Kloetgen A. MacLeod B.L. Guo M. Chakravarthy A. Medina T.D.S. Ugel S. et al.GCN2 drives macrophage and MDSC function and immunosuppression in the tumor microenvironment.Sci. Immunol. 2019; 4: eaax8189https://doi.org/10.1126/sciimmunol.aax8189Crossref PubMed Scopus (45) Google Scholar,15Alshetaiwi H. Pervolarakis N. McIntyre L.L. Ma D. Nguyen Q. Rath J.A. Nee K. Hernandez G. Evans K. Torosian L. et al.Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics.Sci. Immunol. 2020; 5: eaay6017https://doi.org/10.1126/sciimmunol.aay6017Crossref PubMed Scopus (129) Google Scholar and limit T cell functions to promote tumor growth through a variety of mechanisms.16Gabrilovich D.I. Ostrand-Rosenberg S. Bronte V. Coordinated regulation of myeloid cells by tumours.Nat. Rev. Immunol. 2012; 12: 253-268https://doi.org/10.1038/nri3175Crossref PubMed Scopus (2468) Google Scholar Accordingly, the frequency of suppressive monocytic cells is often associated with poor prognosis and resistance to immune checkpoint blockade (ICB) therapy in patients and preclinical models.6Lee Y.-Y. Choi C.H. Sung C.O. Do I.-G. Huh S. Song T. Kim M.K. Kim H.-J. Kim T.-J. Lee J.-W. et al.Prognostic value of pre-treatment circulating monocyte count in patients with cervical cancer: comparison with SCC-Ag level.Gynecol. Oncol. 2012; 124: 92-97https://doi.org/10.1016/j.ygyno.2011.09.034Abstract Full Text Full Text PDF PubMed Scopus (69) Google Scholar,7Li Z.-M. Huang J.-J. Xia Y. Sun J. Huang Y. Wang Y. Zhu Y.-J. Li Y.-J. Zhao W. Wei W.-X. et al.Blood lymphocyte-to-monocyte ratio identifies high-risk patients in diffuse large B-cell lymphoma treated with R-CHOP.PLoS One. 2012; 7: e41658https://doi.org/10.1371/journal.pone.0041658Crossref PubMed Scopus (121) Google Scholar,8Hu P. Shen H. Wang G. Zhang P. Liu Q. Du J. Prognostic significance of systemic inflammation-based lymphocyte- monocyte ratio in patients with lung cancer: based on a large cohort study.PLoS One. 2014; 9: e108062https://doi.org/10.1371/journal.pone.0108062Crossref PubMed Scopus (114) Google Scholar,9Eo W.K. Chang H.J. Kwon S.H. Koh S.B. Kim Y.O. Ji Y.I. Kim H.-B. Lee J.Y. Suh D.S. Kim K.H. et al.The lymphocyte-monocyte ratio predicts patient survival and aggressiveness of ovarian cancer.J. Cancer. 2016; 7: 289-296https://doi.org/10.7150/jca.13432Crossref PubMed Scopus (43) Google Scholar,10Wilcox R.A. Ristow K. Habermann T.M. Inwards D.J. Micallef I.N.M. Johnston P.B. Colgan J.P. Nowakowski G.S. Ansell S.M. Witzig T.E. et al.The absolute monocyte and lymphocyte prognostic score predicts survival and identifies high-risk patients in diffuse large-B-cell lymphoma.Leukemia. 2011; 25: 1502-1509https://doi.org/10.1038/leu.2011.112Crossref PubMed Scopus (150) Google Scholar,11Stotz M. Pichler M. Absenger G. Szkandera J. Arminger F. Schaberl-Moser R. Samonigg H. Stojakovic T. Gerger A. The preoperative lymphocyte to monocyte ratio predicts clinical outcome in patients with stage III colon cancer.Br. J. Cancer. 2014; 110: 435-440https://doi.org/10.1038/bjc.2013.785Crossref PubMed Scopus (240) Google Scholar,17Jordan K.R. Kapoor P. Spongberg E. Tobin R.P. Gao D. Borges V.F. McCarter M.D. Immunosuppressive myeloid-derived suppressor cells are increased in splenocytes from cancer patients.Cancer Immunol. Immunother. 2017; 66: 503-513https://doi.org/10.1007/s00262-016-1953-zCrossref PubMed Scopus (40) Google Scholar,18Jordan K.R. Amaria R.N. Ramirez O. Callihan E.B. Gao D. Borakove M. Manthey E. Borges V.F. McCarter M.D. Myeloid-derived suppressor cells are associated with disease progression and decreased overall survival in advanced-stage melanoma patients.Cancer Immunol. Immunother. 2013; 62: 1711-1722https://doi.org/10.1007/s00262-013-1475-xCrossref PubMed Scopus (95) Google Scholar,19Gabitass R.F. Annels N.E. Stocken D.D. Pandha H.A. Middleton G.W. Elevated myeloid-derived suppressor cells in pancreatic, esophageal and gastric cancer are an independent prognostic factor and are associated with significant elevation of the Th2 cytokine interleukin-13.Cancer Immunol. Immunother. 2011; 60: 1419-1430https://doi.org/10.1007/s00262-011-1028-0Crossref PubMed Scopus (453) Google Scholar,20Tobin R.P. Jordan K.R. Robinson W.A. Davis D. Borges V.F. Gonzalez R. Lewis K.D. McCarter M.D. Targeting myeloid-derived suppressor cells using all-trans retinoic acid in melanoma patients treated with Ipilimumab.Int. Immunopharmacol. 2018; 63: 282-291https://doi.org/10.1016/j.intimp.2018.08.007Crossref PubMed Scopus (103) Google Scholar,21Highfill S.L. Cui Y. Giles A.J. Smith J.P. Zhang H. Morse E. Kaplan R.N. Mackall C.L. Disruption of CXCR2-mediated MDSC tumor trafficking enhances anti-PD1 efficacy.Sci. Transl. Med. 2014; 6: 237ra67https://doi.org/10.1126/scitranslmed.3007974Crossref PubMed Scopus (457) Google Scholar,22Meyer C. Cagnon L. Costa-Nunes C.M. Baumgaertner P. Montandon N. Leyvraz L. Michielin O. Romano E. Speiser D.E. Frequencies of circulating MDSC correlate with clinical outcome of melanoma patients treated with ipilimumab.Cancer Immunol. Immunother. 2014; 63: 247-257https://doi.org/10.1007/s00262-013-1508-5Crossref PubMed Scopus (374) Google Scholar,23Sade-Feldman M. Kanterman J. Klieger Y. Ish-Shalom E. Olga M. Saragovi A. Shtainberg H. Lotem M. Baniyash M. Clinical significance of circulating CD33+CD11b+HLA-DR− myeloid cells in patients with stage IV melanoma treated with ipilimumab.Clin. Cancer Res. 2016; 22: 5661-5672https://doi.org/10.1158/1078-0432.ccr-15-3104Crossref PubMed Scopus (0) Google Scholar,24Krieg C. Nowicka M. Guglietta S. Schindler S. Hartmann F.J. Weber L.M. Dummer R. Robinson M.D. Levesque M.P. Becher B. High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy.Nat. Med. 2018; 24: 144-153https://doi.org/10.1038/nm.4466Crossref PubMed Scopus (393) Google Scholar Although research has primarily focused on suppressive monocytes, evidence of clinically beneficial antitumor immunostimulatory monocytes is also emerging. Monocytes can kill cancer cells by phagocytosis or by secreting tumoricidal cytokines.25Hanna R.N. Cekic C. Sag D. Tacke R. Thomas G.D. Nowyhed H. Herrley E. Rasquinha N. McArdle S. Wu R. et al.Patrolling monocytes control tumor metastasis to the lung.Science. 2015; 350: 985-990https://doi.org/10.1126/science.aac9407Crossref PubMed Scopus (270) Google Scholar,26Headley M.B. Bins A. Nip A. Roberts E.W. Looney M.R. Gerard A. Krummel M.F. Visualization of immediate immune responses to pioneer metastatic cells in the lung.Nature. 2016; 531: 513-517https://doi.org/10.1038/nature16985Crossref PubMed Scopus (262) Google Scholar,27Griffith T.S. Wiley S.R. Kubin M.Z. Sedger L.M. Maliszewski C.R. Fanger N.A. Monocyte-mediated tumoricidal activity via the tumor necrosis factor–related cytokine, TRAIL.J. Exp. Med. 1999; 189: 1343-1354https://doi.org/10.1084/jem.189.8.1343Crossref PubMed Scopus (415) Google Scholar Some cancer-associated monocytes also present tumor antigens and stimulate T cell responses.25Hanna R.N. Cekic C. Sag D. Tacke R. Thomas G.D. Nowyhed H. Herrley E. Rasquinha N. McArdle S. Wu R. et al.Patrolling monocytes control tumor metastasis to the lung.Science. 2015; 350: 985-990https://doi.org/10.1126/science.aac9407Crossref PubMed Scopus (270) Google Scholar,28Sheng J. Chen Q. Soncin I. Ng S.L. Karjalainen K. Ruedl C. A discrete subset of monocyte-derived cells among typical conventional type 2 dendritic cells can efficiently cross-present.Cell Rep. 2017; 21: 1203-1214https://doi.org/10.1016/j.celrep.2017.10.024Abstract Full Text Full Text PDF PubMed Scopus (39) Google Scholar,29Sharma M.D. Rodriguez P.C. Koehn B.H. Baban B. Cui Y. Guo G. Shimoda M. Pacholczyk R. Shi H. Lee E.-J. et al.Activation of p53 in immature myeloid precursor cells controls differentiation into Ly6c+CD103+ monocytic antigen-presenting cells in tumors.Immunity. 2018; 48: 91-106.e6https://doi.org/10.1016/j.immuni.2017.12.014Abstract Full Text Full Text PDF PubMed Scopus (67) Google Scholar,30Singhal S. Stadanlick J. Annunziata M.J. Rao A.S. Bhojnagarwala P.S. O’Brien S. Moon E.K. Cantu E. Danet-Desnoyers G. Ra H.-J. et al.Human tumor-associated monocytes/macrophages and their regulation of T cell responses in early-stage lung cancer.Sci. Transl. Med. 2019; 11: eaat1500https://doi.org/10.1126/scitranslmed.aat1500Crossref PubMed Scopus (113) Google Scholar,31Huang M.-N. Nicholson L.T. Batich K.A. Swartz A.M. Kopin D. Wellford S. Prabhakar V.K. Woroniecka K. Nair S.K. Fecci P.E. et al.Antigen-loaded monocyte administration induces potent therapeutic anti-tumor T cell responses.J. Clin. Invest. 2020; 130: 774-788https://doi.org/10.1172/jci128267Crossref PubMed Google Scholar,32Zhu Y. Herndon J.M. Sojka D.K. Kim K.-W. Knolhoff B.L. Zuo C. Cullinan D.R. Luo J. Bearden A.R. Lavine K.J. et al.Tissue-resident macrophages in pancreatic ductal adenocarcinoma originate from embryonic hematopoiesis and promote tumor progression.Immunity. 2017; 47: 323-338.e6https://doi.org/10.1016/j.immuni.2017.07.014Abstract Full Text Full Text PDF PubMed Scopus (346) Google Scholar Monocytes may also prevent metastasis, inhibit regulatory T cells, and promote the activation of dendritic cells (DCs) and natural killer (NK) cells.25Hanna R.N. Cekic C. Sag D. Tacke R. Thomas G.D. Nowyhed H. Herrley E. Rasquinha N. McArdle S. Wu R. et al.Patrolling monocytes control tumor metastasis to the lung.Science. 2015; 350: 985-990https://doi.org/10.1126/science.aac9407Crossref PubMed Scopus (270) Google Scholar,33Kubo H. Mensurado S. Gonçalves-Sousa N. Serre K. Silva-Santos B. Primary tumors limit metastasis formation through induction of IL15-mediated cross-talk between patrolling monocytes and NK cells.Cancer Immunol. Res. 2017; 5: 812-820https://doi.org/10.1158/2326-6066.cir-17-0082Crossref PubMed Google Scholar,34Plebanek M.P. Angeloni N.L. Vinokour E. Li J. Henkin A. Martinez-Marin D. Filleur S. Bhowmick R. Henkin J. Miller S.D. et al.Pre-metastatic cancer exosomes induce immune surveillance by patrolling monocytes at the metastatic niche.Nat. Commun. 2017; 8: 1319https://doi.org/10.1038/s41467-017-01433-3Crossref PubMed Scopus (185) Google Scholar,35Romano E. Kusio-Kobialka M. Foukas P.G. Baumgaertner P. Meyer C. Ballabeni P. Michielin O. Weide B. Romero P. Speiser D.E. Ipilimumab-dependent cell-mediated cytotoxicity of regulatory T cells ex vivo by nonclassical monocytes in melanoma patients.Proc. Natl. Acad. Sci. USA. 2015; 112: 6140-6145https://doi.org/10.1073/pnas.1417320112Crossref PubMed Scopus (402) Google Scholar,36Lam K.C. Araya R.E. Huang A. Chen Q. Di Modica M. Rodrigues R.R. Lopès A. Johnson S.B. Schwarz B. Bohrnsen E. et al.Microbiota triggers STING-type I IFN-dependent monocyte reprogramming of the tumor microenvironment.Cell. 2021; 184: 5338-5356.e21https://doi.org/10.1016/j.cell.2021.09.019Abstract Full Text Full Text PDF PubMed Scopus (63) Google Scholar Moreover, recent studies in melanoma patients found that a higher frequency of classical monocytes was associated with response to immunotherapy.24Krieg C. Nowicka M. Guglietta S. Schindler S. Hartmann F.J. Weber L.M. Dummer R. Robinson M.D. Levesque M.P. Becher B. High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy.Nat. Med. 2018; 24: 144-153https://doi.org/10.1038/nm.4466Crossref PubMed Scopus (393) Google Scholar,36Lam K.C. Araya R.E. Huang A. Chen Q. Di Modica M. Rodrigues R.R. Lopès A. Johnson S.B. Schwarz B. Bohrnsen E. et al.Microbiota triggers STING-type I IFN-dependent monocyte reprogramming of the tumor microenvironment.Cell. 2021; 184: 5338-5356.e21https://doi.org/10.1016/j.cell.2021.09.019Abstract Full Text Full Text PDF PubMed Scopus (63) Google Scholar Taken together, mounting evidence suggests that strategies to direct immunostimulatory tumor monocyte polarization are desirable for enhancing the antitumor response to ICB.37Schetters S.T.T. Rodriguez E. Kruijssen L.J.W. Crommentuijn M.H.W. Boon L. Van den Bossche J. Den Haan J.M.M. Van Kooyk Y. Monocyte-derived APCs are central to the response of PD1 checkpoint blockade and provide a therapeutic target for combination therapy.J. Immunother. Cancer. 2020; 8: e000588https://doi.org/10.1136/jitc-2020-000588Crossref PubMed Scopus (15) Google Scholar,38Eissler N. Mao Y. Brodin D. Reuterswärd P. Andersson Svahn H. Johnsen J.I. Kiessling R. Kogner P. Regulation of myeloid cells by activated T cells determines the efficacy of PD-1 blockade.Oncoimmunology. 2016; 5: e1232222https://doi.org/10.1080/2162402x.2016.1232222Crossref PubMed Scopus (0) Google Scholar,39Zhu Y. Knolhoff B.L. Meyer M.A. Nywening T.M. West B.L. Luo J. Wang-Gillam A. Goedegebuure S.P. Linehan D.C. DeNardo D.G. CSF1/CSF1R blockade reprograms tumor-infiltrating macrophages and improves response to T-cell checkpoint immunotherapy in pancreatic cancer models.Cancer Res. 2014; 74: 5057-5069https://doi.org/10.1158/0008-5472.can-13-3723Crossref PubMed Scopus (0) Google Scholar,40Porta C. Consonni F.M. Morlacchi S. Sangaletti S. Bleve A. Totaro M.G. Larghi P. Rimoldi M. Tripodo C. Strauss L. et al.Tumor-derived prostaglandin E2 promotes p50 NF-κB-Dependent differentiation of monocytic MDSCs.Cancer Res. 2020; 80: 2874-2888https://doi.org/10.1158/0008-5472.can-19-2843Crossref PubMed Scopus (0) Google Scholar,41Holtzhausen A. Harris W. Ubil E. Hunter D.M. Zhao J. Zhang Y. Zhang D. Liu Q. Wang X. Graham D.K. et al.TAM family receptor kinase inhibition reverses MDSC-mediated suppression and augments anti–PD-1 therapy in melanoma.Cancer Immunol. Res. 2019; 7: 1672-1686https://doi.org/10.1158/2326-6066.cir-19-0008Crossref PubMed Scopus (0) Google Scholar,42Steggerda S.M. Bennett M.K. Chen J. Emberley E. Huang T. Janes J.R. Li W. MacKinnon A.L. Makkouk A. Marguier G. et al.Inhibition of arginase by CB-1158 blocks myeloid cell-mediated immune suppression in the tumor microenvironment.J. Immunother. Cancer. 2017; 5: 101https://doi.org/10.1186/s40425-017-0308-4Crossref PubMed Scopus (209) Google Scholar,43Long K.B. Gladney W.L. Tooker G.M. Graham K. Fraietta J.A. Beatty G.L. IFNγ and CCL2 cooperate to redirect tumor-infiltrating monocytes to degrade fibrosis and enhance chemotherapy efficacy in pancreatic carcinoma.Cancer Discov. 2016; 6: 400-413https://doi.org/10.1158/2159-8290.cd-15-1032Crossref PubMed Scopus (0) Google Scholar Nevertheless, lacking cell-specific surface markers has made the definition and characterization of distinct immunostimulatory and immunosuppressive tumor monocyte subsets elusive. Consequently, little is known about the cues driving immunostimulatory tumor monocyte polarization or the potential for suppressive monocytes to be repolarized. Here, using single-cell RNA sequencing (scRNA-seq), we identify three subsets of tumor monocytes (Tu.Mons) marked by differential expression of interferon (IFN)-associated and pro-tumoral/immunosuppressive-associated genes in human lung and colorectal tumors. In parallel, we confirmed that orthologous Tu.Mon populations exist in murine Lewis lung carcinoma (LLC) and colon adenocarcinoma clone 38 (MC38) syngeneic tumors. We show that adding the surface markers CD88 and Sca-1 to a flow cytometry profiling panel of well-defined myeloid lineage markers faithfully separates transcriptionally and functionally distinct Tu.Mon subsets, thereby enabling their examination in mouse models. Mechanistically, we found that cancer cell-intrinsic type I IFN production, regulated in a cGAS-STING-dependent manner without any exogenous trigger, controls immunostimulatory “Tu.Mon1” polarization. Preventing Tu.Mon1 polarization by blocking cancer cell IFN production results in accumulation of immunosuppressive “Tu.Mon2” monocytes and restrains anti-PD-1 treatment efficacy. On the other hand, enhancing Tu.Mon1 polarization by activating the cGAS-STING pathway in cancer cells reverses resistance to anti-PD-1 treatment in mouse models. By interrogating human clinical datasets, we validate that Tu.Mon1 polarization, defined by enrichment of a Tu.Mon1 gene signature, is associated with clinical response to anti-PD-1 immunotherapy. Overall, our data provide a framework for distinguishing Tu.Mon subsets and reveal a previously overlooked role for cancer cell-intrinsic type I IFN production in establishing an immunostimulatory subset of cancer-associated monocytes. To examine the molecular diversity of Tu.Mons, we profiled monocytes in lung adenocarcinoma (LUAD), a tumor highly infiltrated by monocytic cells.44Kim N. Kim H.K. Lee K. Hong Y. Cho J.H. Choi J.W. Lee J.-I. Suh Y.-L. Ku B.M. Eum H.H. et al.Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma.Nat. Commun. 2020; 11: 2285https://doi.org/10.1038/s41467-020-16164-1Crossref PubMed Scopus (238) Google Scholar,45He D. Wang D. Lu P. Yang N. Xue Z. Zhu X. Zhang P. Fan G. Single-cell RNA sequencing reveals heterogeneous tumor and immune cell populations in early-stage lung adenocarcinomas harboring EGFR mutations.Oncogene. 2021; 40: 355-368https://doi.org/10.1038/s41388-020-01528-0Crossref PubMed Scopus (52) Google Scholar,46Zilionis R. Engblom C. Pfirschke C. Savova V. Zemmour D. Saatcioglu H.D. Krishnan I. Maroni G. Meyerovitz C.V. Kerwin C.M. et al.Single-cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species.Immunity. 2019; 50: 1317-1334.e10https://doi.org/10.1016/j.immuni.2019.03.009Abstract Full Text Full Text PDF PubMed Scopus (486) Google Scholar We used a published scRNA-seq dataset of 11 LUAD tumors spanning early to advanced disease stages.44Kim N. Kim H.K. Lee K. Hong Y. Cho J.H. Choi J.W. Lee J.-I. Suh Y.-L. Ku B.M. Eum H.H. et al.Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma.Nat. Commun. 2020; 11: 2285https://doi.org/10.1038/s41467-020-16164-1Crossref PubMed Scopus (238) Google Scholar Of the 8,794 myeloid cells sequenced, we extracted 1,609 classical monocytic cells (Figures 1A and S1A–S1H). We selected cells that highly expressed CD14 and removed unrelated annotated cell types (Figures S1A and S1B). We also excluded monocyte-derived macrophages after performing unsupervised clustering analysis (Figures S1C–S1H). We confirmed that cells included in our final analysis were enriched with hallmark monocyte signature genes (Figures S1G and S1H). We identified three distinct subsets of human lung (hLung) Tu.Mons with unique cluster-specific differentially expressed genes (DEGs) (Figures 1A–1D, S1I, and S1J and Table S1). hLung Tu.Mon cluster C0 was marked by peripheral blood monocyte-associated genes (e.g., FCN1, S100A8, S100A9; Figure 1C), suggesting this cluster represents newly recruited Tu.Mons. Cluster C0 was also enriched with genes associated with inflammation and chemotaxis, including IL1B, THBS1, and VCAN (Figures 1C and 1D and Table S1). Cluster C2, the largest subset, was marked by expression of immunosuppressive myeloid cell genes like MRC1, STAB1, and DAB247Adamson S.E. Griffiths R. Moravec R. Senthivinayagam S. Montgomery G. Chen W. Han J. Sharma P.R. Mullins G.R. Gorski S.A. et al.Disabled homolog 2 controls macrophage phenotypic polarization and adipose tissue inflammation.J. Clin. Invest. 2016; 126: 1311-1322https://doi.org/10.1172/jci79590Crossref PubMed Scopus (0) Google Scholar,48Palani S. Elima K. Ekholm E. Jalkanen S. Salmi M. Monocyte stabilin-1 suppresses the activation of Th1 lymphocytes.J. Immunol. 2016; 196: 115-123https://doi.org/10.4049/jimmunol.1500257Crossref PubMed Scopus (30) Google Scholar (Figures 1C, 1D, and S1J). In addition, cluster C2 more highly expressed genes associated with resistance to ICB, including CCL18, SEPP1, FOLR2, NUPR1, and KLHDC8B,49Xiong D. Wang Y. You M. A gene expression signature of TREM2hi macrophages and γδ T cells predicts immunotherapy response.Nat. Commun. 2020; 11: 5084https://doi.org/10.1038/s41467-020-18546-xCrossref PubMed Scopus (38) Google Scholar as well as complement and lipoprotein metabolism-associated genes (C1QB, PLTP, APOE, and ABCA1; Figures 1C, 1D, and S1J and Table S1). Intriguingly, hLung Tu.Mon cluster C1 was uniquely defined by type I IFN-stimulated gene (ISG) expression, including ISG15, IFIT1, IFIT3, MX1, and LY6E (Figures 1C, 1D, and S1I and Table S1). Cluster C1 was also enriched with DEGs associated with processing and presentation of antigen to T cells (e.g., PSMB9, PSME2, PSMC1, B2M, CD86, and major histocompatibility complex (MHC) class I genes HLA-A and HLA-B), suggesting this Tu.Mon cluster may be immunostimulatory. To establish whether human Tu.Mon subsets exist in other tumor types, we analyzed monocytes from an scRNA-seq dataset with 23 colorectal cancer patients50Lee H.-O. Hong Y. Etlioglu H.E. Cho Y.B. Pomella V. Van den Bosch B. Vanhecke J. Verbandt S. Hong H. Min J.-W. et al.Lineage-dependent gene expression programs influence the immune landscape of colorectal cancer.Nat. Genet. 2020; 52: 594-603https://doi.org/10.1038/s41588-020-0636-zCrossref PubMed Scopus (133) Google Scholar (Figures S1A and S1K–S1Q). We identified three Tu.Mon clusters in colorectal tumors (Figure S1L). Comparing hColon and hLung Tu.Mons, we found that hColon cluster C0 and hLung cluster C0 were strikingly similar and shared a significant number of DEGs (Figure S1R). Interestingly, hColon Tu.Mon clusters C1 and C2 were both enriched with hLung Tu.Mon cluster C1 genes (Figure S1R), suggesting that ISG-associated Tu.Mons may be enriched in some colorectal tumors. We next examined whether Tu.Mon subsets also exist in mouse tumors. We used the murine LLC lung and MC38 colon tumor models, which, like human LUAD and colorectal cancer, are both largely infiltrated by monocytic cells (Figures S2A–S2F). We established a flow cytometry gating strategy (CD45+CD11b+Siglec-F−Ly6G−Ly6Chigh) to distinguish Tu.Mons from other lymphoid and myeloid subsets (Figures S2G–S2M). To molecularly profile mouse Tu.Mons, we performed cellular indexing of transcriptomes and epitomes by sequencing" @default.
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- W4310858866 date "2022-12-01" @default.
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- W4310858866 title "Cancer cell-derived type I interferons instruct tumor monocyte polarization" @default.
- W4310858866 cites W1517826228 @default.
- W4310858866 cites W1898375716 @default.
- W4310858866 cites W1902962585 @default.
- W4310858866 cites W1940241680 @default.
- W4310858866 cites W1971124449 @default.
- W4310858866 cites W1984689597 @default.
- W4310858866 cites W1994826332 @default.
- W4310858866 cites W1997944395 @default.
- W4310858866 cites W1998068227 @default.
- W4310858866 cites W2018076768 @default.
- W4310858866 cites W2031724207 @default.
- W4310858866 cites W2038316782 @default.
- W4310858866 cites W2052344595 @default.
- W4310858866 cites W2060672294 @default.
- W4310858866 cites W2064607012 @default.
- W4310858866 cites W2064730985 @default.
- W4310858866 cites W2065907531 @default.
- W4310858866 cites W2068994108 @default.
- W4310858866 cites W2074664983 @default.
- W4310858866 cites W2079224095 @default.
- W4310858866 cites W2080886891 @default.
- W4310858866 cites W2081796577 @default.
- W4310858866 cites W2084222857 @default.
- W4310858866 cites W2100228832 @default.
- W4310858866 cites W2101657738 @default.
- W4310858866 cites W2115974802 @default.
- W4310858866 cites W2118709186 @default.
- W4310858866 cites W2118863472 @default.
- W4310858866 cites W2127897152 @default.
- W4310858866 cites W2144697790 @default.
- W4310858866 cites W2149437353 @default.
- W4310858866 cites W2153091158 @default.
- W4310858866 cites W2159707944 @default.
- W4310858866 cites W2165323521 @default.
- W4310858866 cites W2166035732 @default.
- W4310858866 cites W2171524684 @default.
- W4310858866 cites W2178883502 @default.
- W4310858866 cites W2197124664 @default.
- W4310858866 cites W2230320310 @default.
- W4310858866 cites W2282980403 @default.
- W4310858866 cites W2291574527 @default.
- W4310858866 cites W2296807971 @default.
- W4310858866 cites W2318982527 @default.
- W4310858866 cites W2329342162 @default.
- W4310858866 cites W2436603111 @default.
- W4310858866 cites W2471500324 @default.
- W4310858866 cites W2514739234 @default.
- W4310858866 cites W2516058590 @default.
- W4310858866 cites W2533098748 @default.
- W4310858866 cites W2539531639 @default.
- W4310858866 cites W2568946517 @default.
- W4310858866 cites W2572415482 @default.
- W4310858866 cites W2607819139 @default.
- W4310858866 cites W2624275086 @default.
- W4310858866 cites W2739492614 @default.
- W4310858866 cites W2745901392 @default.
- W4310858866 cites W2746497061 @default.
- W4310858866 cites W2749550628 @default.
- W4310858866 cites W2754819388 @default.