Published OnlineFirst August 15, 2019; DOI: 10.1158/0008-5472.CAN-19-1246

Cancer Tumor Biology and Research

Arming Tumor-Associated to Reverse Epithelial Cancer Progression Hiromi I.Wettersten1,2,3, Sara M.Weis1,2,3, Paulina Pathria1,2,Tami Von Schalscha1,2,3, Toshiyuki Minami1,2,3, Judith A. Varner1,2, and David A. Cheresh1,2,3

Abstract

Tumor-associated macrophages (TAM) are highly expressed it engaged macrophages but not natural killer (NK) cells to within the tumor microenvironment of a wide range of cancers, induce -dependent cellular cytotoxicity (ADCC) of where they exert a protumor phenotype by promoting tumor avb3-expressing tumor cells despite their expression of the cell growth and suppressing antitumor immune function. CD47 "don't eat me" signal. In contrast to strategies designed Here, we show that TAM accumulation in human and mouse to eliminate TAMs, these findings suggest that anti-avb3 tumors correlates with tumor cell expression of integrin avb3, represents a promising immunotherapeutic approach to redi- a known driver of epithelial cancer progression and drug rect TAMs to serve as tumor killers for late-stage or drug- resistance. A targeting avb3 (LM609) resistant cancers. exploited the coenrichment of avb3 and TAMs to not only eradicate highly aggressive drug-resistant human lung and Significance: Therapeutic are commonly engi- pancreas cancers in mice, but also to prevent the emergence neered to optimize engagement of NK cells as effectors. In of circulating tumor cells. Importantly, this antitumor activity contrast, LM609 targets avb3 to suppress tumor progression in mice was eliminated following depletion. and enhance drug sensitivity by exploiting TAMs to trigger Although LM609 had no direct effect on tumor cell viability, ADCC.

Introduction and "classical" subtypes of glioblastoma that are addicted to aberrant signaling from integrin avb3, making them highly Integrin avb3 is a marker of angiogenic blood vessels in sensitive to agents, including cilengitide, that disrupt the path- cancer (1, 2), and its expression on tumor cells has been linked way (9). Thus, it is tempting to speculate that cilengitide would to cancer progression, drug resistance, and epithelial-to- have been able to meet the survival endpoints for a more defined mesenchymal transition (EMT; refs. 3, 4). As such, two primary subset of glioblastoma patients. drugs targeting avb3 have advanced to clinical testing, including a The monoclonal anti-avb3 antibody etaracizumab has been monoclonal antibody (etaracizumab) and a cyclic peptide antag- tested in patients with several types of solid tumors, including a onist (cilengitide). These agents, although safe, produced only small cohort of patients with metastatic renal cancer where it was modest clinical activity in the patient populations tested. able to prolong stable disease for 3 patients (10). Despite a good Cilengitide, a selective cyclic peptide inhibitor of integrins avb3 safety profile, etaracizumab did not slow disease progression and avb5, produced encouraging results in phase I/II trials for in patients with sarcoma, prostate, or colorectal cancers (10). patients with advanced glioblastoma multiforme (5, 6), yet Interestingly, this antibody was tested in a phase II trial ultimately failed to meet overall survival endpoints in phase (NCT00072930) for patients with metastatic in III (7). A subsequent correlative IHC study revealed that higher combination with standard-of-care docetaxel, prednisone, and avb3 levels were associated with improved survival for zoledronic acid. Notably, steroids such as prednisone have been patients treated with cilengitide (8), suggesting that certain sub- associated with inferior responses (11), whereas sets of patients may be particularly sensitive to this drug. In fact, zoledronic acid can block the activity of M2 macrophages (12). we recently identified a subset of tumors within the "proneural" Similarly, etaracizumab was tested in a phase II trial for melano- ma in combination with the standard-of-care dacarbazine (13). In this trial, the overall survival for patients treated with etaracizu- 1 Department of Pathology, University of California, San Diego, La Jolla, mab was 12.6 months, whereas patients treated with etaracizu- California. 2Moores Cancer Center, University of California, San Diego, La Jolla, California. 3Sanford Consortium for Regenerative Medicine, University of mab plus dacarbazine had a worse overall survival (9.4 months), California, San Diego, La Jolla, California. compared with historical data for dacarbazine alone (6– 10 months; ref. 13). In addition to acting as a cytotoxic agent Note: Supplementary data for this article are available at Cancer Research Online (http://cancerres.aacrjournals.org/). for tumor cells, dacarbazine also produces immunosuppressive effects within the tumor microenvironment, including inhibition Corresponding Author: David A. Cheresh, University of California, San Diego, of M2 macrophage activity (14). Together, these clinical trial 2880 Torrey Pines Scenic Drive, Room 4003, La Jolla, CA 92037-0695. Phone: 858-822-2232; Fax: 858-534-8329; E-mail: [email protected] results suggest that the monoclonal antibody etaracizumab may improve survival in the context of immune effector cells. Cancer Res 2019;79:5048–59 Monoclonal antibodies have emerged as a class of anticancer doi: 10.1158/0008-5472.CAN-19-1246 therapeutics to not only directly kill tumor cells, but also manip- 2019 American Association for Cancer Research. ulate anticancer immune responses (15). The activity of several

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Arming Tumor-Associated Macrophages for Cancer Therapy

FDA-approved anticancer antibodies such as anti-CD20 (Ritux- obtained from ClodronateLiposome.com. Captisol (Cydex) was imab) and anti-EGFR () has been attributed to their diluted in water at 6%. Erlotinib (Selleckchem, OSI-744) was ability to induce antibody-dependent cellular cytotoxicity diluted in DMSO for in vitro or Captisol for in vivo experiments. (ADCC; refs. 16, 17). This process is triggered when antibodies Anti-avb3 antibody, LM609, was produced as previously bind to tumor cell antigens and are simultaneously recognized by described (21). Batch-to-batch activity is confirmed by adhesion Fcg receptors on immune effector cells, including natural killer assays. Antibodies are listed in Supplementary Table S1. (NK) cells, , macrophages, , and dendritic cells (DC; ref. 18). expression analysis using public databases Although not present in early stage disease, integrin avb3 mRNA expression in The Cancer Genome Atlas (TCGA) data- becomes enriched during epithelial cancer progression, in partic- sets was used to analyze the correlation between ITGB3 and ular as tumors lose sensitivity to standard of care (19). As such, immune cell type scores, calculated as previously described (22) integrin avb3 represents an ideal tumor antigen to mount an using cBioPortal. Gene sets for immune cell markers are listed in attack against. Here, we show that avb3 on epithelial cancers Supplementary Table S2. positively correlates with the accumulation of tumor-associated macrophages (TAM) within the tumor microenvironment, Correlation analysis of ITGB3 and immune cell types using immune cells that typically lead to tumor progression and NanoString nCounter immune suppression. Interestingly, TAMs armed with an anti- Ten preexisting, deidentified lung adenocarcinoma frozen tis- þ avb3 antibody can be activated to kill the highly aggressive avb3 sue biopsies were obtained from the Moores UCSD Cancer Center þ CD47 epithelial cancer cells via ADCC and thereby suppress Biorepository. mRNA was extracted using the RNeasy Mini Kit cancer progression and drug resistance. Our work reveals a poten- (Qiagen, 74104). The quality of extracted mRNA was tested using tially valuable subpopulation of patients who might be particu- Agilent Bioanalyzer (Agilent). Expression of mRNAs involved in larly sensitive to the effects of an avb3-targeted antibody, namely immune cell activities was analyzed using nCounter PanCancer those with advanced epithelial cancers whose tumors have Immune Profiling Panel (NanoString). become coenriched for integrin avb3 and TAMs. Protein analysis IHC staining. IHC staining was performed on formalin-fixed, Materials and Methods paraffin-embedded slides using the VECTASTAIN Elite ABC HRP Statistical analysis Kit (Vector, PK-6100), ImmPRESS Excel Staining Kit (Vector, MP- Testing for normality was performed using the Shapiro–Wilk 7602), and ImmPRESS HRP anti-rat IgG, mouse adsorbed (per- test. The Student t test, Mann–Whitney U test, one-sample t test, or oxidase) polymer detection (Vector, MP-7444). Slides were ANOVA was performed to compare independent sample groups. imaged on a NanoZoomer Slide Scanning System (Hamamatsu), Pearson or Spearman correlation was used to measure correlation and the area fraction for each protein with respect to tumor tissue of multiple groups. Excel (Microsoft) and SPSS (IBM Analytics) was calculated utilizing ImageJ (NIH; ref. 23). Integrin b3 levels were utilized for analysis. on tumor cells for cancer microarray slides were analyzed blindly, and the tissues were categorized into b3– and b3þ groups. Cell lines Microarray slides were purchased from Biomax.us: Lung cancer Cells were grown in DMEM unless stated. Mouse lung cancer (LC10011a, 50 cases/100 cores, grades 2–3; LC121c, 120 cases/ (LLC), human lung adenocarcinoma (HCC827 and H1975, 120 cores, grades 1–3; HLugC120PT01, 60 cases/60 cores, grades grown in RPMI), human renal cell carcinoma (A498), and human 1–3), prostate cancer (PR483c, 48 cases/48 cores, grades 1–3), pancreatic carcinoma cells (PANC-1) were obtained from the colon carcinoma (CO1006, 50 cases/100 cores, grades 1–3), ATCC. PC9 (grown in RPMI) lung adenocarcinoma cells were a kidney clear cell cancer (Hkid-CRC060CS-01, 30 cases/60 cores, gift from Dr. Joan Massague (Memorial Sloan-Kettering Cancer grades 1–4; BC07001, 40 cases/80 cores, grades 1–3), multiple Center, New York, NY). Cell line authentication was performed organs (MC1801, 180 cases/180 cores, containing 26 cases of by the ATCC using short tandem repeat DNA profiles. FG (COLO- colon, pancreas, lung, breast, and prostate cancer, grades 1–3), 357) pancreatic carcinoma cells were a gift from Dr. Shama Kajiji and brain glioblastoma (GL805, 40 cases/80 cores, grades 3–4). and Vito Quaranta (The Scripps Research Institute, La Jolla, CA). CW389 glioblastoma cells (grown in neurobasal media) were Immunofluorescence staining. Immunofluorescence staining provided by Dr. Jeremy Rich (University of California San Diego). was performed on frozen sections permeabilized with 0.1% Upon receipt, each cell line was expanded, cryopreserved as low- TritonX-100 (Bio-Rad, 1610407) in PBS for 1 minute, blocked passage stocks, and tested for Mycoplasma using MycoScope PCR with 10% NGS (Jackson ImmunoResearch, 005-000-121) in Mycoplasma Detection Kit (Genlantis, MY01050). All the cell PBS for 2 hours, and incubated with DAPI (Life Technologies, lines were used within 30 passages. For ectopic expression and 62248, 1 mg/mL in 1% BSA in PBS) and an anti-mouse F4/80 genetic knockdown, cells were transfected with a vector control, antibody (eBioscience 14-4801-82, conjugated with Texas Red integrin b3, or luciferase using a lentiviral system as previously fluorophore by OneWorldLab) for 2 hours at room tempera- described (19, 20). For genetic knockout, b3 gRNA and Cas9 were ture. Images were acquired utilizing a Nikon Eclipse C2 con- transfected using Lipofectamine 3000 (Thermo, L3000001). focal microscope (Nikon). F4/80-positive area fraction with gRNA sequences are listed in Supplementary Table S1. respect to tumor tissue was calculated utilizing ImageJ (NIH; ref. 23). Reagents, chemicals, and antibodies Fab LM609 was a gift from Dr. Marija Backovic (Pasteur Flow cytometry. Cell pellets were washed with PBS, blocked with Institute, Paris, France). Control and clodronate liposomes were 1% BSA in PBS for 30 minutes at room temperature, and stained

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A Co-enrichment of ITGB3 (β3 mRNA) and ADCC mediators (except NK cells) for a subset of TCGA datasets Coenrichment of ITGB3 and macrophage markers KIRP SARC THCA SKCM OV KIRC BRCA GBM LUAD STAD PRAD PAAD ESCA CRC MΦ 0.0 0.0 0.1 0.2 0.2 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.4 0.6 DC 0.1 0.0 0.1 0.2 0.1 0.2 0.2 0.3 0.3 0.4 0.4 0.4 0.4 0.6 NΦ 0.0 0.0 0.1 0.1 0.2 0.1 0.2 0.3 0.2 0.3 0.3 0.4 0.3 0.6 NK 0.0 0.0 0.0 0.1 0.1 −0.1 0.0 0.0 0.0 0.1 0.2 0.1 0.0 0.2

Immune cell type markers analyzed: Values = Pearson correlation coefficient (gene vs. ITGB3) Red fill indicates positive correlation (r >0.3) Macrophage (MΦ) MRC1, CD86, CD163, CD84, MS4A4A, CD68 Dendritic Cell (DC) CCL13, CD209, HSD11B1 (NΦ) FPR1, SIGLEC5, CSF3R, FCAR, FCGR3B, CEACAM3, S100A12 NK Cell (NK) XCL1, XCL2, NCR1

B Coenrichment of ITGB3 (β3 mRNA) and ADCC mediators for 10 lung cancer biopsies

Frozen lung 600 cancer biopsies β3-high (n = 5) 500 from 10 patients β3-low (n = 5) 400 NanoString 300 * Immunology 200 Panel 100

(avg. mRNA counts) *

Immune cell signature Immune cell signature 0 What cell types MΦ DC NΦ NK correlate with 0.62 0.60 0.67 −0.14 Rho β3 mRNA Correlation of immune expression? 0.05 0.07 0.07 0.70 P value cell signature with ITGB3

C Validation of CD68+ and CD163+ macrophages and β3+ tumor cells at the protein level Lung Prostate Colorectal Kidney GBM 20 10 10 10 20 * * * 10 5 * 5 5 * 10 CD68

%positive area %positive 0 0 0 0 0 20 1.0 1.0 1.5 10 * 1 ** 10 * 0.5 0.5 * 5 0.5 CD163

% positive area 0 0.0 0.0 0 0 β3− β3+ β3− β3+ β3− β3+ β3− β3+ β3− β3+ # samples: n = 46 n = 25 n = 34 n = 30 n = 72 n = 33 n = 34 n = 14 n = 32 n = 38 % β3+ or β3−: (65%) (35%) (53%) (47%) (69%) (31%) (71%) (29%) (46%) (54%)

β3

CD68

CD163

25 μm

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Arming Tumor-Associated Macrophages for Cancer Therapy

with indicated primary antibodies or IgG isotype controls with or rescently labeled antibodies, CD11b (eBioscience, 17-0112-81, without fluorescently labeled secondary antibodies. Cells were 1:100), and Ly-6G (eBioscience, 25-5931-81, 1:100), for 1 hour incubated with propidium iodide (Sigma, P4864), and then flow at 4C. TAMs (CD11b-positive, Ly-6G–negative) were sorted. cytometry was performed on a BD LSRFortessa and analyzed using FlowJo (Treestar) software. Isolation of marrow–derived macrophages from mice. Bone marrow–derived macrophages (BMDM) were aseptically har- In vitro functional assays vested from euthanized 8–10-week-old female C57BL/6 mice by MTT (cell viability) assay. Cells in 96-well plates were incubated in flushing leg with RPMI, filtering through 70 mm cell thiazolyl blue tetrazolium bromide solution (Sigma, M2128) for strainers, and incubating in Red Blood Cell Lysing Buffer 2 hours at 37C. After the solution was removed, the blue Hybri-Max (Sigma, R7757). Cells were incubated with mouse crystalline precipitate in each well was dissolved in DMSO. Visible M-CSF (Peprotech, 315-02) for 7 days before ADCC assays. absorbance at 560 nm was quantified using a microplate reader. Isolation of NK cells from mice. Splenocytes were aseptically ADCC assay. Target cells stained with CFSE Cell Division Tracker Kit harvested from euthanized 8–10-week-old female C57BL/6 mice (BioLegend, 423801) were cocultured with effector cells with or by mincing spleens with PBS containing 2 % FBS and 1 mmol/L without isotype IgG or LM609 for 5 to 16 hours at 37 C, stained with EDTA, filtering through 40 mm strainers, and incubating in Red PI, and flow cytometry was performed on BD LSR Fortessa. The ratio Blood Cell Lysing Buffer Hybri-Max (Sigma, R7757). NK cells of dead target cells (propidium iodide positive) to the total target cell were isolated from splenocytes using NK Cell Isolation Kit II population (CFSE-positive) was calculated as described (24). (Miltenyi, 130-096-892).

Antibody-dependent cellular assay. Target cells stained Isolation of human peripheral blood mononuclear cells and macro- with CFSE Cell Division Tracker Kit (BioLegend, 423801) were phages. Leukoreduction system chambers (LRSC) were purchased cocultured with effector cells stained with CellTrace Far Red from the San Diego Blood Bank. Peripheral blood mononuclear Cell Proliferation Kit (Thermo, C35464), with or without isotype cells (PBMC) were isolated from LRSC using Histopaque-1083 IgG or LM609 for 5 hours at 37C. The ratio of CFSE-Far Red (Sigma, 10831) following the manufacturer's protocol. To obtain double-positive cells was calculated using flow cytometry as macrophages, PBMCs were incubated in tissue culture plates with described (24). human M-CSF (Peprotech, 300-25) for 5 days.

Mouse tumor experiments Genotyping of FcgR polymorphism. Genomic DNA was isolated Study approval. All experiments involving mice were conducted from donor blood using Genomic DNA Mini Kit (Invitrogen, under protocol S05018 approved by the UC San Diego Institu- K1820-00). DNA was analyzed for FcgRlla (rs1801274) and llla tional Animal Care and Use Committee. All studies are in accor- (rs396991) polymorphisms using TaqMan SNP Genotyping dance with the NIH Guide for the Care and Use of Laboratory Assays (Life Technologies, 4351379). Animals. Isolation of erlotinib-resistant tumor cells from mouse tumors. Isolation of TAMs from mice. TAMs were isolated from tumor Erlotinib-resistant HCC827 (HCC827-R) cells and PC9 (PC9- tissues as described (25). Tumors were dissociated in Hanks' R) cells were established as previously described (19). Balanced Salt Solution containing collagenase IV (Sigma, C5138), hyaluronidase (Sigma, H2654), dispase ll (Roche, Xenograft model with macrophage depletion. Five million human 04942078001), and DNase IV (Millipore, D5025) at 37C for pancreatic carcinoma (FGþb3) or human lung carcinoma 15 minutes. Cell suspensions were filtered through 70 mm cell (HCC827þb3) cells in 100 mL PBS were s.c. injected to the right strainers and washed with PBS. Single-cell suspensions (106 cells/ flank of female nu/nu mice (Charles River, #088, 8–10 weeks 100 mL in 5% BSA in PBS) were incubated with Mouse BD Fc Block old). Twice weekly, body weight was monitored and tumors 1 2 (BD Biosciences, 553142, 1:50) for 10 minutes at 4 Candfluo- measured with calipers (Volume ¼ /2 length x width ). Animals

Figure 1. Integrin avb3-positive tumors are enriched for ADCC mediators. A, The correlation between ITGB3 expression and combined markers of immune cell types was analyzed for the publicly available TCGA datasets listed in the Materials and Methods. The markers used for each cell type are indicated here and in Supplementary Table S1. The table shows the average Pearson correlation coefficients for tumors in each dataset using the immune cell type markers listed. RNA Seq V2 RSEM datasets: KIRP, kidney renal papillary cell carcinoma, TCGA, Provisional, 280 samples. SARC, sarcoma, TCGA, Provisional, 241 samples. THCA, thyroid carcinoma, TCGA, Provisional, 397 samples. SKCM, skin cutaneous , TCGA, Provisional, 479 samples. OV, ovarian serous cystadenocarcinoma, TCGA, Provisional, 182 samples. KIRC, kidney renal clear cell carcinoma, TCGA, Provisional, 534 samples. BRCA, breast-invasive carcinoma, TCGA, Provisional, 1,100 samples. GBM, glioblastoma multiforme, TCGA, Provisional, 166 samples. LUAD, lung adenocarcinoma, TCGA, Provisional, 517 samples. STAD, stomach adenocarcinoma, TCGA, Provisional, 415 samples. PRAD, prostate adenocarcinoma, TCGA, Provisional, 498 samples. PAAD, pancreatic adenocarcinoma, TCGA, Provisional, 179 samples. ESCA, esophageal carcinoma, TCGA, Provisional, 83 samples. CRC, colorectal adenocarcinoma, TCGA, Provisional, 382 samples. B, The correlation between ITGB3 expression and combined markers of immune cell types was analyzed for biopsy samples from 10 lung adenocarcinoma patients using nCounter PanCancer Immune Panel (NanoString). Levels of immune cell type markers between b3-high and -low tissues were compared. The table below the graph shows Spearman correlation coefficients and P values. C, Tumor microarray slides were stained for b3 integrin and macrophage markers, CD68 and CD163. Graphs show mean SE for the percent positive area for CD68 or CD163, grouped by b3þ vs. b3– status. The number of samples analyzed per array is indicated. , P < 0.05; , P < 0.1 using Student t test or Mann–Whitney U test compared with b3-negative. The same areas of serial sections stained for integrin b3 and macrophage markers are shown. The same areas of serial sections stained for integrin b3 and macrophage markers are shown. Bar, 25 mm.

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A Macrophage depletion negates LM609 activity in vivo Lung xenografts Pancreatic xenografts

Vehicle LM609 Vehicle LM609 Lung Pancreatic Clodronate LM609+Clod Clodronate LM609+Clod 1.5 1.5 8 8 30 30 6 6 * 1.0 1.0 * 20 20 4 * 4 * 0.5 0.5 * 10 10 2 2 * area F4/80+

(fold vs. control) 0.0 * 0.0 * 0 0 0 0 −+ −+ (fold vs. start of Tx) relative tumor relative growth 0 7 14 21 071421 07140714 Clodronate Days Days Days Days

B Drug-resistant tumors are enriched for both integrin β3 and macrophages

) Vehicle Erlotinib 16 Vehicle 3 800 200 12 Erlotinib 600 150 8 Pearson 400 100 correlation: 200 50 4 0.569 P = 0.03 0 0 area % F4/80+ 0 01530 04080 02550 Tumor volume (mm Tumor volume Days Days % β3+ area

Vehicle Erlotinib

Brown: Mouse macrophages (F4/80) Blue: integrin β3

50 μm

C LM609 prevents acquired drug resistance D LM609 prevents emergence of CTC

3.2 15 * Vehicle β3− CTC 1.6 * LM609 β3+ CTC 0.8 10 Erlotinib 0.4 Erlotinib 5 0.2 0 7 14 21 28 35 42 49 +LM609 * # CTC per mL blood per # CTC Days after treatment 0 Tumor volume (fold change) Tumor volume # 2 # 8 # 24 # 15 # 22 # 27 # 17 # 30 # 16 # 20 # 28 # 21 # 26 # 11 Mean Mean Vehicle LM609 Mean % β3+ Pre-Tx Erlotinib Erlot+LM609 (4wks) (4wks) area 40 *

Vehicle 30 20 10 0 Erlotinib LM609 Vehicle Erlotinib E+LM609 Brown: β3 integrin

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Arming Tumor-Associated Macrophages for Cancer Therapy

with an average tumor volume of 150 mm3 were randomly Results assigned into groups treated i.p. twice per week with combina- Integrin avb3 positively correlates with macrophage markers tions of control or clodronate liposome (200 mL) and LM609 across multiple cancers (10 mg/kg) or vehicle control (PBS). Harvested tumor tissues were During cancer progression, the tumor microenvironment fixed in 10% formalin or frozen in optimal cutting temperature becomes dramatically altered with the appearance of various compound (VWR, 25608-930). The percentage of monocytes in stromal and immune cells that influence the malignant behav- blood for nu/nu mice is 4.31% compared with 4.37% for C57BL/ ior of the tumor (27, 28). Accordingly, it is important to 6 mice (Charles River, Biochemistry and Hematology for Mouse consider what immune cells are available when targeting Colonies in North America). tumors with therapeutic antibodies. Although the enrichment of integrin avb3 in tumor cells is a driver of an aggressive, Lung xenograft model with acquired resistance to erlotinib. An drug-resistant tumor phenotype (20, 26), the impact of avb3- erlotinib-resistant lung adenocarcinoma xenograft model was positive tumor cells on the tumor immune microenvironment utilized as previously described (26). Briefly, HCC827 (5 has not been well defined. We therefore queried multiple 106 tumor cells in 100 mL of PBS) cells were s.c. injected to the TCGA datasets to identify whether b3-expressing tumors may right flank of female nu/nu mice (Charles River, 088, 8–10 weeks be enriched for certain immune effector cell types that could old). Tumors were measured with calipers twice per week. Ani- contribute to antibody-mediated killing. This analysis reveals mals with a tumor volume of 250 to 700 mm3 were randomly that mRNA expression of ITGB3 positively correlates (rho assigned into groups treated with combinations of Captisol (oral, 0.3) with marker sets for macrophages (MÈ), DCs, and neu- 6 times/week), PBS (i.p., twice/week), LM609 (i.p., 10 mg/kg, trophils (NÈ), but not with NK cells for certain types of solid twice/week), or erlotinib (oral, 6.25 mg/kg, 6 times/week). tumors(Fig.1A).Forexample,ITGB3 mRNA expression pos- Vehicle-treated mice were sacrificed on day 15 due to large tumor itively correlates with macrophage markers for kidney, breast, size, and erlotinib groups on day 50. Tumors were placed into GBM,lung,stomach,prostate,pancreas,esophageal,and liquid nitrogen, optimal cutting temperature compound, or 10% colorectal cancers, whereas no correlation is observed for renal formalin. Alternatively, erlotinib-sensitive HCC827 (HCC827-P) papillary, sarcoma, thyroid, melanoma, and ovarian cancers and PC9 (PC9-P) and resistant HCC827 (HCC827-R18) and PC9 (Fig.1A).Also,ITGB3 positively correlates with other immune (PC9-R4L) cells were isolated. Tumor growth and avb3 expres- cell types such as mast cells, T cells, and B cells, but this sion are shown in Supplementary Fig. S3. relationship is observed for a limited number of tumor types (Supplementary Fig. S1A). Interestingly, no correlation Orthotopic lung adenocarcinoma xenografts and circulating tumor between ITGB3 and immune cell markers is observed for cell isolation. Luciferase- and GFP-positive HCC827 cells (5 106 thyroid, melanoma, kidney papillary, and sarcoma despite cells in 50 mL of PBS) were injected into the lungs of female nu/nu these cancers having the highest median expression of ITGB3 mice (8–10 weeks old) and tumor growth monitored by biolu- across the TCGA pan-cancer dataset (Supplementary Fig. S1B). minescence imaging (IVIS Spectrum). Eight weeks after injection, The positive correlation of b3 and immune cell type markers mice were randomly divided into groups: vehicle (6% Captisol, was validated for an independent tumor sample set of 10 frozen oral, 6 times/week), erlotinib (oral, 6.25 mg/kg, 6 times/week), or lung adenocarcinoma biopsies analyzed using the NanoString the combination of erlotinib and LM609 (i.p., 10 mg/kg, twice/ nCounter platform (Fig. 1B). Even for this modest sample size, week). Whole blood (0.5 mL/mouse) was collected in EDTA tumors with above median ITGB3 expression are enriched for tubes, and PBMCs including circulating tumor cells (CTC) were markers characterizing macrophages, DCs, and neutrophils (but isolated using Lymphoprep (STEMCELL Technologies, 07801) not NK cells) compared with tumors having below median ITGB3 and SepMate (STEMCELL Technologies, 15415). Cells were expression. Consistent with the analysis of TCGA datasets, there is washed with PBS, plated on poly-L-lysine–coated 8-well chamber a strong positive correlation between ITGB3 and these marker sets. plates, fixed with 4% PFA, and stained with DAPI (1 mg/mL in 1% Together, these data suggest that b3-positive epithelial cancers BSA in PBS), LM609 (5 mg/mL in 1% BSA in PBS), and a may be enriched for multiple cell types that could serve as effector þ fluorescently labeled secondary antibody. The number of avb3 cells for antibody-mediated therapy. þ þ and avb3 CTC (DAPI /GFP ) was counted using a Nikon To further validate the positive correlation of the enrichment of Eclipse C2 confocal microscope (Nikon). macrophages with b3 expression on tumor cells at the protein

Figure 2. Anti-avb3 monoclonal antibody triggers macrophage-mediated tumor cell killing. A, Nude mice were s.c. injected with b3-positive human tumor cells and treated with combinations of control vs. clodronate liposome (for macrophage depletion) and PBS vs. LM609 (the anti-avb3 monoclonal antibody). At the end of the study, the tumor tissues were stained (immunofluorescence or ) for a mouse macrophage marker F4/80-positive areas to confirm macrophage depletion by the clodronate liposome. Mean SE is shown for 3–6 mice per group. , P < 0.05 compared with control using two-tailed Student t test. B, Subcutaneous HCC827 tumors from mice treated with erlotinib or vehicle control (Captisol) were harvested and double-stained for the mouse macrophage marker F4/80 (brown) and integrin b3 (blue). The dot plot shows the quantification of percent area F4/80þ vs. b3þ area for each tumor. C, Mice bearing HCC827 subcutaneous flank tumors were treated with vehicle, the anti-avb3 LM609 (10 mg/kg), erlotinib (6.25 mg/kg), or the combination. Tumor 1 2 dimensions were measured biweekly and volume calculated as V ¼ /2 (length x width ). Graph shows mean SE for n ¼ 5 (vehicle, LM609) or n ¼ 9 (erlotinib, erlotinibþLM609) mice per group. , P < 0.05 for erlotinib vs. erlotinib/LM609 using ANOVA. Representative pictures of tumors harvested on day 15 (vehicle and LM609 groups, n ¼ 5) or day 50 (erlotinib and erlotinib/LM609 groups, n ¼ 5), stained for integrin b3. The b3-positive area fraction was quantified using ImageJ. Scale bar, 10 mm. , P < 0.05 for erlotinib vs. vehicle, LM609, and erlotinib/LM609 using Student t test. Error bars, SE. D, Mice received orthotopic injections of luciferase- and GFP-expressing HCC827 lung cancer cells. Mice were treated with either erlotinib or erlotinibþLM609 for 4 weeks before euthanasia and CTC analysis. The numbers of CTC per mL blood are shown. , P < 0.05 for erlotinibþLM609 vs. erlotinib using Student t test.

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A TAMs can be directed to kill tumor cells B LM609 can utilize mouse or human macrophages Mouse BMDM Mouse TAMs Mouse TAMs -derived macrophages (C57 mice) (nude mice) macrophages (C57 mice) (healthy donor) 80 80 * * * 60 60 60 * * 60 * * * * 40 40 * 40 * 40 * IgG1 IgG1 * 20 20 LM609 20 20 LM609 % Target cell death cell % Target 0 0 death cell % Target 0 0 05100510 0510 02.55 E:T = X:1 E:T = X:1 E:T = X:1 E:T = X:1

C Fc block negates D LM609 but not Fab LM609 E LM609 does not mediate killing LM609 activity induces ADCC with NK cells or PBMC

No BMDM Mouse BMDM 30 Mouse NK cells Human PBMC 25 25 25 (C57 mice) 25 25 * (healthy donor) 20 20 * Without 20 20 Fc 20 15 15 15 15 block 15 No 10 10 With Fc 10 10 block 10 BMDM 5 5 5 5 5 Mouse % Target cell death cell % Target % Target cell death cell % Target 0 0 0 BMDM death cell % Target 0 0 IgG1 IgG1 IgG1 IgG1 IgG1 LM609 LM609 LM609 LM609 LM609 Fab LM609 F LM609 kills despite CD47 G LM609 arms macrophages to kill via ADCC, not ADCP or H LM609 kills direct killing drug-resistant HCC827 cells via ADCC H1975 PANC-1 CW839 A498 60 +β3 60 +EV lung pancreas brain kidney Mouse BMDM IgG1 * 40 60 E:T = 10:1 40 * * * LM609 60 * 30 60 * 20 * 20 40 20 40 40 (ADCC) * HCC827 0 0 20 P 20 10 20 20 % Target cell death cell % Target 05100510

(ADCC) R18 E:T = X:1 E:T = X:1 * 60 60 0 0 0 0

% Target cell death cell % Target 10 40 40 IgG1 IgG1 IgG1 IgG1 LM609 LM609 LM609 20 20 LM609 % Target cell death cell % Target (ACDP) 60 0 0 0 30 60 60 % Phagocytosis 05100510 IgG1 40 20 40 40 E:T = X:1 E:T = X:1 LM609 150 150 20 10 20 20 PC9

(ADCP) 30 100 100 P * 0 0 0 0 R4L 50 50 20 % Target phagocytosis % Target IgG1 IgG1 IgG1 0 0 IgG1 % Cell viability LM609 LM609 LM609 LM609 10 05100510 60 30 60 60 LM609 (μg/mL) LM609 (μg/mL) 40 20 40 40 0 100 100 80 Control 80 Control 20 10 20 20 IgG1 60 60 LM609 % Cell death 40 40 (direct killing) 0 0 0 0 Count 20 CD47 20 CD47 0 0 IgG1 IgG1 IgG1 IgG1 0104 0104 LM609 LM609 LM609 LM609

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level for a variety of genetically and histologically distinct solid gain avb3 as they become drug resistant, but they also become tumor types, we performed IHC staining for a series of commer- enriched for TAMs (Fig. 2B). As expected, LM609 alone has no cially available tumor microarray slides. This analysis reveals that effect on the growth of HCC827 xenograft tumors prior to the integrin b3 protein expression on tumor cells positively correlates development of drug resistance due to lack of the avb3 antigen with the presence of macrophage markers CD68 and CD163 for (Fig. 2C). Although mice treated with erlotinib alone show an lung, prostate, colorectal, kidney, and glioblastoma tumors initial reduction in tumor size, this is followed by an eventual (Fig. 1C). Higher magnification images show that individual tumor regrowth and gain in avb3 expression (Fig. 2C). In contrast, areas with integrin b3 staining on tumor cells are enriched for the combination of erlotinib plus LM609 prolongs drug sensi- cells that stain positive for the macrophage markers (Supplemen- tivity and prevents the appearance of integrin b3 (Fig. 2C). tary Fig. S2). Notably, the percentage of tumors with positive Interestingly, this combined treatment does not reverse the mac- tumor cell expression of b3 ranges from 29% to 54% among the rophage enrichment that emerges during erlotinib treatment array slides examined, indicating there is a significant portion of (Supplementary Fig. S3B). b3þ tumors across this diverse population of tumor types, grades, Because the appearance of CTC represents a hallmark of tumor and stages. Together, these findings indicate that tumors with high progression and EMT (34, 35), we considered whether LM609 tumor cell expression of integrin b3 are particularly enriched for might suppress this indicator of aggressive disease. Whereas TAMs, a component of the tumor microenvironment that con- orthotopic HCC827 lung tumors gain avb3 expression during tributes to tumor progression (29), and that these cells might erlotinib therapy and show a marked increase of CTCs in the prove important when targeting tumors with certain therapeutic blood after 4 weeks of therapy, combining LM609 with an EGFR antibodies. inhibitor prevents the appearance of CTCs in this setting (Fig. 2D). Together, our results indicate that the monoclonal antibody An anti-avb3 monoclonal antibody triggers macrophage- LM609 requires macrophages for its antitumor activity in mouse mediated tumor cell killing xenograft models, and we demonstrate its efficacy for both highly Considering the coenrichment of TAMs and integrin avb3- aggressive tumors with constitutive avb3 expression as well as expressing tumor cells, we reasoned that exploiting this relation- those that gain avb3 during acquired resistance to therapy. ship could provide a basis for a therapeutic strategy to treat avb3þ Moreover, by eliminating those tumor cells that become enriched cancers. To do this, we used a function-blocking monoclonal for avb3 during EGFR inhibitor treatment, we can suppress cancer antibody we previously developed, LM609, which recognizes progression as measured by a decrease in the appearance of CTC. integrin avb3 on human but not mouse cells (30) and served as the parent antibody for a fully humanized version, /etar- LM609 induces macrophage-mediated ADCC rather than acizumab (31, 32). Indeed, we find that avb3-expressing human phagocytosis lung and pancreatic xenograft tumors growing in nude mice are To confirm that the mechanism of action for LM609 is mac- highly sensitive to LM609, and that this effect can be completely rophage dependent, we asked whether LM609 can kill tumor cells blocked by macrophage depletion using clodronate liposomes in vitro using TAMs, an abundant source of immune effector cells (Fig. 2A), demonstrating that TAMs play a critical role in the that are coenriched with b3 (Fig. 1) and that typically play a antitumor efficacy of this tumor-targeted antibody. protumor role (36). Indeed, LM609 shows robust activity using An enrichment of TAMs has been observed following cancer TAMs isolated from mouse Lewis lung carcinoma (LLC) tumors therapy, including the EGFR inhibitor erlotinib (33), and we grown in immune-competent C57BL6 mice or immune- previously reported that integrin avb3 is upregulated during the compromised athymic nude mice (Fig. 3A). The antibody can acquisition of erlotinib resistance in lung cancers in mice and for also kill tumor cells using human monocyte-derived macro- the BATTLE trial in man (19). Accordingly, we show that avb3- phages isolated from healthy donor blood, as well as BMDM negative HCC827 human EGFR-mutant lung tumors not only isolated from healthy mice (Fig. 3B; Supplementary Fig. S4A).

Figure 3. LM609 induces macrophage-mediated ADCC, not phagocytosis. A, Mouse TAMs were tested for ADCC activity. Graphs show mean SD of percent target cell (HCC827þb3) death at indicated effector-to-target cell ratios (E:T) induced by anti-avb3 LM609 (10 mg/mL) vs. IgG control. , P < 0.05 compared with IgG1 using Student t test (repeated at least three times). Error bars, SD. B, Human monocyte-derived macrophages (donor 631) and mouse BMDM were tested for their effects on target cells (HCC827þb3) for a range of E:T ratios. Tumor cell killing induced by anti-avb3 LM609 (10 mg/mL) vs. IgG control was measured. Error bars, SD. , P < 0.05 compared with the IgG1 group using Student t test (repeated at least three times). C, Death of target cells (HCC827þb3) induced by LM609 (10 mg/mL) in the absence or presence of BMDM (E:T ¼ 10:1) was evaluated in the absence or presence of function-blocking antibodies targeting Fcg receptors (Fc block). Error bars, SD. , P < 0.05 compared with IgG using Student t test (n ¼ 4). D, Death of target cells (HCC827þb3) induced by LM609 or Fab LM609 (10 mg/mL) in the absence or presence of BMDM (E:T ¼ 10:1) was evaluated. Error bars, SD. , P < 0.05 compared with IgG using Student t test (n ¼ 4). E, Death of target cells (HCC827þb3) measured after the coincubation with mouse NK cells (E:T ¼ 5:1) and human PBMCs (E:T ¼ 500:1) with and without LM609 (10 mg/mL). Error bars, SD. F, ADCC, ADCP, MTT assays, and flow cytometry for CD47 expression were performed for HCC827 cells with ectopic expression of empty vector (þEV) or the integrin b3 subunit (þb3). Death of target cells induced by LM609 (10 mg/mL) in the presence of mouse BMDM was evaluated at a range of E:T ratios (ADCC). Phagocytosis of target cells induced by LM609 (10 mg/mL) in the presence of mouse BMDM was evaluated (ADCP). Death of target cells induced by LM609 without effector cells was evaluated (% cell viability). CD47 expression on the target cells is shown. Error bars, SD. , P < 0.05 compared with IgG using Student t test (n ¼ at least 3). G, ADCC, ADCP, and viability assays were performed for a panel of cancer cell lines with endogenous avb3 expression. Death of target cells induced by LM609 (10 mg/mL) in the presence of mouse BMDM was evaluated at an E:T ratio of 5:1 (ADCC). Phagocytosis of target cells induced by LM609 (10 mg/mL) in the presence of mouse BMDM was evaluated (ADCP). Direct killing of target cells by LM609 (10 mg/mL) was evaluated by measuring propidium iodide–positive cells after the 5-hour incubation of the target cells and LM609. Error bars, SD. , P < 0.05 compared with IgG using Student t test (n ¼ at least 3). H, ADCC assay was performed for drug-resistant cells with endogenous avb3 expression and drug-sensitive cells with no avb3. Death of target cells induced by LM609 (10 mg/mL) in the presence of mouse BMDM was evaluated at an E:T ratio of 5:1. , P < 0.05 compared with IgG using Student t test (n ¼ at least 3).

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Binding of the antibody to Fc receptors on macrophages is dataset also suggests that melanoma patients may not be the ideal critical for its killing capacity, because there is no macrophage- population for a drug like LM609 that exploits this relationship. mediated killing in the presence of an antibody blocking of the Instead, we show the potential of combining LM609 with a first- Fc receptors CD16, CD32, and CD64, and a form of LM609 line therapy such as EGFR blockade to prolong drug sensitivity by lacking the Fc portion (Fab LM609) cannot trigger macrophage- eliminating drug-resistant avb3þ tumor cells (Fig. 2C) and sup- mediated killing (Fig. 3C and D). To our surprise, LM609- press tumor progression as measured by the elimination of CTCs mediated ADCC is not achieved with mouse NK cells or PBMCs (Fig. 2D). Together, these results indicate that the enrichment of isolated from human blood (Fig. 3E), immune effector cell TAMs in avb3-expressing tumors renders them amenable to a types to which antibodies are commonly engineered for opti- therapeutic approach that redirects the protumor immune effec- mal binding (37, 38). In fact, NK cells are not correlated with tor cells to attack the tumor. b3 expression in tumors (Fig. 1). Together, these findings Our findings provide a general rationale for focusing future suggest that the antitumor activity of LM609 involves the efforts on the development of monoclonal antibodies capable opsonization of avb3-expressing tumor cells with the mono- of recruiting macrophages. In the tumor microenvironment, clonal antibody, followed by the subsequent engagement of the antitumor function of cytotoxic T cells and NK cells is macrophage Fc receptors to induce killing. compromised, whereas the recruitment and expansion of protu- Monoclonal antibodies can direct macrophages to induce mor macrophages are enhanced (41). TAMs secrete growth tumor cell killing through two primary mechanisms, processes factors and to promote tumor progression through known as antibody-dependent cellular phagocytosis (ADCP) and induction of angiogenesis, , and immunosuppres- ADCC. Here, we show that LM609 induces macrophage ADCC, sion (25, 28, 36, 42, 43). As observed for EGFR inhibitor– but not ADCP or direct killing, and this requires integrin b3 resistant lung adenocarcinoma patient tumors (33, 44), we find expression (Fig. 3F; Supplementary Fig. S4B–S4C). The lack of that drug-resistant tumors contain more TAMs than tumors from an ADCP response is consistent with high tumor cell expression of vehicle-treated mice (Fig. 2B). Thus, a strategy to arm macro- CD47, the "don't eat me" signal (39) that tumor cells often exploit phages to attack tumor cells may be particularly useful for drug- to evade phagocytosis (Fig. 3F; Supplementary Fig. S4B). resistant cancers. Although therapeutic antibodies are commonly Although avb3 and other integrins are binding partners for screened in vitro for their ability to engage Fc receptors on NK cells, CD47 (40), CD47 expression is not affected by b3 ectopic expres- we reasoned that an antibody capable of engaging macrophages sion or knockout (Fig. 3F; Supplementary Fig. S4B). Macrophage- may provide a more powerful therapeutic strategy for avb3- mediated ADCC but not ADCP or direct killing is also observed expressing tumors that feature an abundance of TAMs. Further- for additional avb3-expressing tumor cell lines representing more, considering that PD- (CD274) expression is positively tumor types for which ITGB3 expression is linked to macrophage correlated with ITGB3 in many of those cancers that had ITGB3- enrichment (Fig. 1), including lung, pancreas, brain, and kidney macrophage marker-positive correlation (Supplementary Fig.S1A), cancer (Fig. 3G). We also show that LM609 can induce macro- this therapeutic strategy may ultimately provide efficacy in com- phage-mediated ADCC for the drug-resistant cells, but not drug- bination with a PD-L1 inhibitor. sensitive cells, suggesting that the prevention of drug resistance The mechanism of action we show for LM609 is fundamen- seen in Fig. 2C is due to macrophage ADCC (Fig. 3H). Taken tally different than a number of recent strategies to "target" together, our findings demonstrate that the antitumor activity of macrophages by blocking their tumor-promoting activities or LM609 results from its ability to engage avb3 on tumor cells along exploiting potential antitumor effector functions (45). Our with Fcg receptors on macrophages isolated from peripheral data suggest that exploiting TAMs as effector cells for antibody blood monocytes, healthy bone marrow, or tumor tissues to kill killing does not require a certain macrophage phenotype, avb3-positive tumor cells, including those from a subset of because ADCC was triggered using macrophages isolated from cancers for which ITGB3 expression is coenriched with macro- healthy human blood donors, mouse bone marrow, or tumors phage markers. from either C57BL6 or athymic nude mice. Although LM609 does not appear to induce phagocytosis (Fig. 3F and G), several antibody therapeutics do utilize this mechanism, including Discussion anti-CD20 () and anti-EGFR (cetuximab). Because Our findings that the antitumor properties of LM609 depend the lung cancer cells we tested express high levels of CD47 on macrophages and their ability to initiate ADCC suggest a new (Fig. 3F; Supplementary Fig. S4B), this "don't eat me" cell therapeutic strategy for a range of epithelial cancers. Humanized surface marker (39) may account for the lack of a phagocytosis versions of LM609 (MEDI-522, Vitaxin, or etaracizumab) have response. Indeed, the combination of cetuximab with an anti- been tested in phase I clinical trials and were shown to be CD47 antibody dramatically increases macrophage ADCP in relatively nontoxic (10, 13, 32). However, in phase II trials, preclinical models (46) and is currently being tested in clinical melanoma patients with etaracizumab alone resulted in a 12.6- trials for colorectal cancer. Combining such an approach with month overall survival rate, which was decreased to 9.4 months LM609 may further enhance its activity in vivo,especiallyfor when combined with dacarbazine, a highly immune-suppressive tumors that may be particularly enriched for CD47 (47). drug that inhibits macrophage activation (13), suggesting that Interestingly, LM609 was not able to induce NK-mediated immune cells may contribute to the increased survival observed ADCC for any of the endogenous avb3-expressing human lung, for patients treated with the antibody alone. Indeed, we show that pancreas, brain, or kidney cancer cells examined. Mechanistically, depletion of macrophages using clodronate liposomes dramati- we show that LM609-mediated killing utilizing macrophages cally reduces the therapeutic effect of LM609 in lung or pancreas requires Fcg receptors typically found on macrophages tumors in mice. Furthermore, our observation that avb3 and (Fig. 3C), and that macrophage depletion negates the antitu- macrophage markers are not coenriched in the TCGA melanoma moreffectoftheantibodyin vivo (Fig.2A).However,itis

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αvβ3-negative cancer cell

αvβ3-positive cancer cell

Early stage Tumor-associated macrophage (TAM) carcinoma Y Anti-αvβ3, LM609

Progression

Coenrichment of TAMs and integrin αvβ3+ tumor cells • Integrin αvβ3 has previously been linked to aggressive phenotype and drug Figure 4. resistance Working model. The anti-avb3 antibody (LM609) • Coenrichment of integrin β3 and macrophage þ Late engages TAMs to eliminate aggressive avb3 markers across multiple epithelial cancer cancer cells by triggering ADCC. stage types

Antibody treatment Y

Y LM609 (anti-αvβ3) Y • Macrophages are exploited to mediate tumor cell killing via “ADCC” • Ablation of αvβ3 cells slows tumor Y progression and prolongs therapy sensitivity

possible that LM609 could utilize other known ADCC effector for angiogenesis (1, 2). Considering that angiogenesis con- cells including neutrophils and DCs, especially because mar- tributes to tumor growth, and because LM609 is an IgG1 kers for these cell types show positive correlations with ITGB3 antibody with higher affinity for human versus mouse mac- expression in patient tissues (Fig. 1A). It is more difficult to rophage Fcg receptors (48), there may be additional benefits determine if the reduction of avb3-expressing CTCs in mice for this therapeutic strategy when applied to drug-resistant treated with the combination of erlotinib and LM609 (Fig. 2D) tumors in humans, particularly when such agents are not is a result of macrophage-mediated ADCC within the circula- combined with immunosuppressive drugs as they have been tion, or whether LM609 is able to reduce the aggressive nature in the past (13). In a broader sense, our work also highlights of the primary tumor. Also, it is interesting to consider whether macrophage-mediated ADCC as a potentially powerful LM609 therapy alters the phenotype of TAMs by virtue of approach for cancer-targeted antibodies and suggests that eliminating avb3-expressing tumor cells. Our work provides antibody design may benefitfrommodifications to enable the rationale for a closer examination of how tumor progres- the exploitation of TAMs. sion and response to therapy depends on the unique relation- ship between TAMs and avb3-expressing tumor cells. Disclosure of Potential Conflicts of Interest In conclusion, our study demonstrates that avb3-expressing No potential conflicts of interest were disclosed. tumors are enriched for macrophages and highlights how this scenario can be manipulated using antibody therapeutics to exploit these two elements (Fig. 4). Indeed, an anti-avb3 Authors' Contributions antibody encourages macrophages to selectively destroy the Conception and design: H.I. Wettersten, S.M. Weis, D.A. Cheresh avb3þ drug-resistant tumor cells within the primary tumor as Development of methodology: H.I. Wettersten, T. Minami well as CTCs, together delaying the onset of therapy resistance Acquisition of data (provided animals, acquired and managed patients, and potentially slowing disease progression. Because LM609 provided facilities, etc.): H.I. Wettersten, P. Pathria, T. Minami Analysis and interpretation of data (e.g., statistical analysis, biostatistics, only recognizes human integrin avb3, utilizing human xeno- computational analysis): H.I. Wettersten, S.M. Weis, P. Pathria, J.A. Varner, graft tumors in mice allows us to separate its ability to induce D.A. Cheresh ADCC from any impact on host-derived macrophages or Writing, review, and/or revision of the manuscript: H.I. Wettersten, S.M. Weis, tumor-associated endothelial cells that require this integrin P. Pathria, T.V. Schalscha, J.A. Varner, D.A. Cheresh

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Administrative, technical, or material support (i.e., reporting or organizing NIDCR 5R01DE27325-01 (to J.A. Varner), V Foundation T2017-001 (to J.A. data, constructing databases): H.I. Wettersten, S.M. Weis, P. Pathria, Varner), NIH/NCI U01CA217885-01 (to J.A. Varner), NIH/NCI R01CA167426 T.V. Schalscha, J.A. Varner (to J.A. Varner), NIH/NCI R01CA226909 (to J.A. Varner), and the Daiichi- Study supervision: D.A. Cheresh Sankyo Foundation of Life Science fellowship grant (to T. Minami).

Acknowledgments The costs of publication of this article were defrayed in part by the The authors thank Drs. Marija Backovic and David Veesler for providing Fab payment of page charges. This article must therefore be hereby marked LM609, Drs. Jack Bui and Emilie Gross for providing methods and guidance for advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate the ADCC assays, and Alex Reiss, Vimal Keerthi, and Drs. Louise Laurent and this fact. Srimeenakshi Srinivasan for providing technical advice and guidance. This study was supported by T32 OD017863 (to H.I. Wettersten), T32 HL086344 (to H.I. Wettersten), T32 CA009523 (to P. Pathria), V Foundation Received April 18, 2019; revised July 1, 2019; accepted August 8, 2019; R-857GC (to D.A. Cheresh), NCI R01CA045726 (to D.A. Cheresh), NIH/ published first August 15, 2019.

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Arming Tumor-Associated Macrophages to Reverse Epithelial Cancer Progression

Hiromi I. Wettersten, Sara M. Weis, Paulina Pathria, et al.

Cancer Res 2019;79:5048-5059. Published OnlineFirst August 15, 2019.

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