Robust Cell Detection and Segmentation for Image Cytometry Reveal Th17 Cell Heterogeneity

Image cytometry enables quantitative cell characterization with preserved tissue architecture; thus, it has been highlighted in the advancement of multiplex immunohistochemistry (IHC) and digital image analysis in the context of immune-based biomarker monitoring associated with cancer immunotherapy. However, one of the challenges in the current image cytometry methodology is a technical limitation in the segmentation of nuclei and cellular components particularly in heterogeneously stained cancer tissue images. To improve the detection and specificity of single-cell segmentation in hematoxylin-stained images (which can be utilized for recently reported 12-biomarker chromogenic sequential multiplex IHC), we adapted a segmentation algorithm previously developed for hematoxlin and eosin-stained images, where morphological features are extracted based on Gabor-filtering, followed by stacking of image pixels into n-dimensional feature space and unsupervised clustering of individual pixels. Our proposed method showed improved sensitivity and specificity in comparison with standard segmentation methods. Replacing previously proposed methods with our method in multiplex IHC/image cytometry analysis, we observed higher detection of cell lineages including relatively rare T_H 17 cells, further enabling sub-population analysis into T_H 1-like and T_H 2-like phenotypes based on T-bet and GATA3 expression. Interestingly, predominance of T_H 2-like T_H 17 cells was associated with human papilloma virus (HPV)-negative status of oropharyngeal squamous cell carcinoma of head and neck, known as a poor-prognostic subtype in comparison with HPV-positive status. Furthermore, T_H 2-like T_H 17 cells in HPV-negative head and neck cancer tissues were spatiotemporally correlated with CD66b⁺ granulocytes, presumably associated with an immunosuppressive microenvironment. Our cell segmentation method for multiplex IHC/image cytometry potentially contributes to in-depth immune profiling and spatial association, leading to further tissue-based biomarker exploration. © 2019 International Society for Advancement of Cytometry.

Reprogramming the Tumor Microenvironment to Improve Immunotherapy: Emerging Strategies and Combination Therapies

Emerging immunotherapeutic approaches have revolutionized the treatment of multiple malignancies. Immune checkpoint blockers (ICBs) have enabled never-before-seen success rates in durable tumor control and enhanced survival benefit in patients with advanced cancers. However, this effect is not universal, resulting in responder and nonresponder populations not only between, but also within solid tumor types. Although ICBs are thought to be most effective against tumors with more genetic mutations and higher antigen loads, this is not always the case for all cancers or for all patients within a cancer subtype. Furthermore, debilitating and sometimes deadly immune-related adverse events (irAEs) have resulted from aberrant activation of T-cell responses following immunotherapy. Thus, we must identify new ways to overcome resistance to ICB-based immunotherapies and limit irAEs. In fact, preclinical and clinical data have identified abnormalities in the tumor microenvironment (TME) that can thwart the efficacy of immunotherapies such as ICBs. Here, we will discuss how reprogramming various facets of the TME (blood vessels, myeloid cells, and regulatory T cells [Tregs]) may overcome TME-instigated resistance mechanisms to immunotherapy. We will discuss clinical applications of this strategic approach, including the recent successful phase III trial combining bevacizumab with atezolizumab and chemotherapy for metastatic nonsquamous non-small cell lung cancer that led to rapid approval by the U.S. Food and Drug Administration of this regimen for first-line treatment. Given the accelerated testing and approval of ICBs combined with various targeted therapies in larger numbers of patients with cancer, we will discuss how these concepts and approaches can be incorporated into clinical practice to improve immunotherapy outcomes.

Complement C5a Fosters Squamous Carcinogenesis and Limits T Cell Response to Chemotherapy

Complement is a critical component of humoral immunity implicated in cancer development; however, its biological contributions to tumorigenesis remain poorly understood. Using the K14-HPV16 transgenic mouse model of squamous carcinogenesis, we report that urokinase (uPA)+ macrophages regulate C3-independent release of C5a during premalignant progression, which in turn regulates protumorigenic properties of C5aR1+ mast cells and macrophages, including suppression of CD8+ T cell cytotoxicity. Therapeutic inhibition of C5aR1 via the peptide antagonist PMX-53 improved efficacy of paclitaxel chemotherapy associated with increased presence and cytotoxic properties of CXCR3+ effector memory CD8+ T cells in carcinomas, dependent on both macrophage transcriptional programming and IFNγ. Together, these data identify C5aR1-dependent signaling as an important immunomodulatory program in neoplastic tissue tractable for combinatorial cancer immunotherapy.

Ibuprofen supports macrophage differentiation, T cell recruitment, and tumor suppression in a model of postpartum breast cancer

BACKGROUND

Women diagnosed with breast cancer within 5 years postpartum (PPBC) have poorer prognosis than age matched nulliparous women, even after controlling for clinical variables known to impact disease outcomes. Through rodent modeling, the poor prognosis of PPBC has been attributed to physiologic mammary gland involution, which shapes a tumor promotional microenvironment through induction of wound-healing-like programs including myeloid cell recruitment. Previous studies utilizing immune compromised mice have shown that blocking prostaglandin synthesis reduces PPBC tumor progression in a tumor cell extrinsic manner. Given the reported roles of prostaglandins in myeloid and T cell biology, and the established importance of these immune cell populations in dictating tumor growth, we investigate the impact of involution on shaping the tumor immune milieu and its mitigation by ibuprofen in immune competent hosts.

METHODS

In a syngeneic (D2A1) orthotopic Balb/c mouse model of PPBC, we characterized the impact of mammary gland involution and ibuprofen treatment on the immune milieu in tumors and draining lymph nodes utilizing flow cytometry, multiplex IHC, lipid mass spectroscopy and cytokine arrays. To further investigate the impact of ibuprofen on programming myeloid cell populations, we performed RNA-Seq on in vivo derived mammary myeloid cells from ibuprofen treated and untreated involution group mice. Further, we examined direct effects of ibuprofen through in vitro bone marrow derived myeloid cell cultures.

RESULTS

Tumors implanted into the mammary involution microenvironment grow more rapidly and display a distinct immune milieu compared to tumors implanted into glands of nulliparous mice. This milieu is characterized by increased presence of immature monocytes and reduced numbers of T cells and is reversed upon ibuprofen treatment. Further, ibuprofen treatment enhances Th1 associated cytokines as well as promotes tumor border accumulation of T cells. Safety studies demonstrate ibuprofen does not impede gland involution, impact subsequent reproductive success, nor promote auto-reactivity as detected through auto-antibody and naïve T cell priming assays.

CONCLUSIONS

Ibuprofen administration during the tumor promotional microenvironment of the involuting mammary gland reduces overall tumor growth and enhances anti-tumor immune characteristics while avoiding adverse autoimmune reactions. In sum, these studies implicate beneficial prophylactic use of ibuprofen during the pro-tumorigenic window of mammary gland involution.

Cell fusion potentiates tumor heterogeneity and reveals circulating hybrid cells that correlate with stage and survival

High lethality rates associated with metastatic cancer highlight an urgent medical need for improved understanding of biologic mechanisms driving metastatic spread and identification of biomarkers predicting late-stage progression. Numerous neoplastic cell intrinsic and extrinsic mechanisms fuel tumor progression; however, mechanisms driving heterogeneity of neoplastic cells in solid tumors remain obscure. Increased mutational rates of neoplastic cells in stressed environments are implicated but cannot explain all aspects of tumor heterogeneity. We present evidence that fusion of neoplastic cells with leukocytes (for example, macrophages) contributes to tumor heterogeneity, resulting in cells exhibiting increased metastatic behavior. Fusion hybrids (cells harboring hematopoietic and epithelial properties) are readily detectible in cell culture and tumor-bearing mice. Further, hybrids enumerated in peripheral blood of human cancer patients correlate with disease stage and predict overall survival. This unique population of neoplastic cells provides a novel biomarker for tumor staging, as well as a potential therapeutic target for intervention.

Abstract A15: Immune-related changes in breast cancer tumor evolution

Immunotherapy is a highly promising therapeutic option in metastatic disease albeit only in a subset of patients possibly due to heterogeneity in the mechanisms by which tumors escape immune surveillance. Immune cells shape tumor evolution directly (e.g., anti-tumor immune response) and indirectly (e.g., changing the microenvironment) by selecting for cancer cells with certain properties. We hypothesized that the in situ (DCIS) to invasive ductal carcinoma (IDC) transition is a critical tumor progression step for immune escape in breast cancer that defines subsequent tumor evolution. In DCIS, cancer cells are physically separated from the stroma by the basement membrane and myoepithelial cell layer, and tumor-infiltrating leukocytes are rarely detected in direct contact with cancer cells. In contrast, in IDC, cancer cells and leukocytes are intermingled, thus, only cancer cells that can survive in this environment will play a role in disease progression. To dissect mechanisms of immune escape in breast cancer, we first analyzed the composition of leukocytes in normal breast tissues, DCIS, and IDC by polychromatic FACS. We found that DCIS and IDC contained significantly higher numbers of leukocytes, compared to normal breast, whereas in normal tissues more leukocytes were in the stromal than in the epithelial fraction. We also observed significant differences in the relative frequencies of several CD45+ cell types including increased neutrophils and decreased CD8+/CD4+ T cell ratios in tumors compared to normal stroma. Next, we analyzed the gene expression profiles of CD45+CD3+ T cells and found gene set enrichment of cytotoxic cells in DCIS including CD8+ T cells and NKT cells when compared to IDC. Conversely, we found enrichment for gene sets corresponding to regulatory T cells in IDC when compared to DCIS. Overall this suggested that DCIS had a more activated immune environment and IDC a more suppressed immune environment. We further explored this result by immunofluorescence (IF) and found fewer activated GZMB+CD8+ T cells in IDC than in DCIS, including a set of matched DCIS and locally recurrent IDC tissues. We also found that the TCR clonotype was more diverse in DCIS than in normal breast and IDCs. Interestingly we detected a few relatively frequent clones that were shared among different DCIS, one of which was previously shown to recognize a protein from the Epstein-Bar virus. To elucidate mechanisms of immune evasion in IDC, we performed IF analysis of immune checkpoint proteins PD-L1 and TIGIT and found significant differences between DCIS and IDC. TIGIT-expressing T cells were more slightly frequent in DCIS than in IDC. PD-L1 expression was higher in the epithelial cancer cells in triple negative IDC compared to DCIS, and amplification of CD274 (encoding PD-L1) was only detected in triple negative IDCs. Given the close proximity of ERBB2 (encoding HER2) to a cluster of genes encoding several chemokines, we analyzed the HER2+ samples from the TCGA. We found that co-amplification of 17q12 chemokine cluster (CC) with ERBB2 was enriched in HER+ER+ luminal-like tumors but not in the HER2+ER breast tumors. We also found higher expression of both T cell activation and inhibition-related genes in tumors that lack CC gain. Also by assessing tumor samples by multicolor FISH and IF, we determined that there is an inverse correlation between CC amplification and activation of CD8+ T cells. Overall our results show co-evolution of cancer cells and the immune microenvironment during tumor progression.

Citation Format: Carlos R. Gil del Alcazar, SungJin Huh, Muhammad B. Ekram, Anne Trinh, Lin L. Liu, Francisco Beca, Zi Xiaoyuan, Misuk Kwak, Helga Bergholtz, Ying Su, Lina Ding, Lina Ding, Hege G. Russnes, Andrea L. Richardson, Kirsten Babski, Elizabeth Min Hui Kim, Charles H. McDonnell, III, Jon Wagner, Ron Rowberry, Gordon Freeman, Deborah Dillon, Therese Sorlie, Lisa M. Coussens, Judy E. Garber, Rong Fan, Kristie Bobolis, Joon Jeong, So Yeon Park, Franziska Michor, Kornelia Polyak. Immune-related changes in breast cancer tumor evolution [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology and Immunotherapy; 2017 Oct 1-4; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2018;6(9 Suppl):Abstract nr A15.

Abstract A21: Characterization of the immune environment in the in situ to invasive breast carcinoma transition

Reactivation of immune responses against cancer cells—immunotherapy—is one of the few cancer therapies that can successfully eliminate even metastatic disease in a relatively nontoxic manner. However, its success has been limited to a subset of patients. For example, in breast cancer only ~20% of triple-negative breast cancer (TNBC) patients benefit from anti-PDL1 therapy. One reason for this limited success can be that different tumors evade the immune system via different mechanisms, which suggests that they may respond to different types of immunotherapies. Epithelial cancer cells in ductal carcinoma in situ (DCIS) are physically separated from the tumor-infiltrating leukocytes by the myoepithelial cell layer and the basement membrane, whereas in invasive ductal carcinoma (IDC), the epithelial cancer cells are intermingled with leukocytes. Therefore, we hypothesize that the DCIS to IDC transition is a key step in tumor progression as cancer cells are under different selection pressures, and only those that can evade the immune system can continue tumor progression, hence shaping subsequent tumor evolution. To dissect the role of leukocytes in the DCIS to IDC transition, we began by analyzing the composition and molecular profiles of leukocytes, with special emphasis on T cells, in normal breast tissues, DCIS, and IDC. We found that the relative frequency of leukocytes increases during tumor progression but the CD8/CD4 T cell ratio decreases. In addition, the gene expression profile of CD45+CD3+ T cells is different in DCIS compared to those isolated from normal breast tissue and IDCs. We found that gene set signatures corresponding to CD8+ T cells and NKT cells were enriched over regulatory T-cell signatures in DCIS compared to IDC. This result suggested that DCIS had a more activated immune environment compared to IDC. We further examined T-cell activation by immunofluorescence (IF) analysis and found a higher percentage of activated GZMB+CD8+ T cells in DCIS compared to IDC including a set of matched DCIS and locally recurrent IDC. We also found that the TCR clonotype was more diverse in DCIS than in IDCs. Interestingly, we detected a few relatively frequent clones that were shared among different DCIS patients, one of which was previously shown to recognize a protein from the Epstein-Bar virus. In order to dissect mechanisms of immune evasion in IDC, we analyzed immune checkpoint genes and proteins by FISH and IF. We found that TIGIT+ T cells were slightly more frequent in DCIS than in IDC. In triple-negative IDC, there was high expression of PD-L1 in epithelial cells and in 3/10 cases amplification of CD274 (encoding PD-L1), whereas DCIS had lower expression of PD-L1 and no amplification of CD274. To further elucidate mechanisms of immune evasion, we explored the significance of a cluster of genes encoding several chemokines that are located in close proximity of ERBB2 (encoding HER2). When analyzing the HER2+ samples from the TCGA, we found that coamplification of the 17q12 chemokine cluster (CC) with ERBB2 was enriched in HER2+ER+ luminal-like tumors, whereas there was either no gain or loss of the cluster in the HER2+ER breast tumors. Interestingly, we found higher expression of both T-cell activation and exhaustion-related genes in tumors that lack CC gain. Moreover, when assessing a cohort of HER2+ samples by multicolor FISH and IF, we found an inverse correlation between CC amplification and activation of CD8+ T cells. There was no correlation between CC amplification and recruitment of macrophages or myeloid-derived suppressor cells. Overall our results show coevolution of cancer cells and the immune microenvironment during tumor progression.

Citation Format: Carlos R. Gil del Alcazar, SungJin Huh, Muhammad B. Ekram, Anne Trinh, Lin L. Liu, Francisco Beca, Zi Xiaoyuan, Misuk Kwak, Helga Bergholtz, Ying Su, Lina Ding, Hege G. Russnes, Andrea L. Richardson, Kirsten Babski, Elizabeth Min Hui Kim, Charles H. McDonnell, III, Jon Wagner, Ron Rowberry, Gordon J. Freeman, Deborah Dillon, Therese Sorlie, Lisa M. Coussens, Judy E. Garber, Rong Fan, Kristie Bobolis, D. Craig Allred, Joon Jeong, So Yeon Park, Franziska Michor, Kornelia Polyak. Characterization of the immune environment in the in situ to invasive breast carcinoma transition [abstract]. In: Proceedings of the AACR Special Conference: Advances in Breast Cancer Research; 2017 Oct 7-10; Hollywood, CA. Philadelphia (PA): AACR; Mol Cancer Res 2018;16(8_Suppl):Abstract nr A21.

Tumor Cell-Intrinsic Factors Underlie Heterogeneity of Immune Cell Infiltration and Response to Immunotherapy

The biological and functional heterogeneity between tumors-both across and within cancer types-poses a challenge for immunotherapy. To understand the factors underlying tumor immune heterogeneity and immunotherapy sensitivity, we established a library of congenic tumor cell clones from an autochthonous mouse model of pancreatic adenocarcinoma. These clones generated tumors that recapitulated T cell-inflamed and non-T-cell-inflamed tumor microenvironments upon implantation in immunocompetent mice, with distinct patterns of infiltration by immune cell subsets. Co-injecting tumor cell clones revealed the non-T-cell-inflamed phenotype is dominant and that both quantitative and qualitative features of intratumoral CD8+ T cells determine response to therapy. Transcriptomic and epigenetic analyses revealed tumor-cell-intrinsic production of the chemokine CXCL1 as a determinant of the non-T-cell-inflamed microenvironment, and ablation of CXCL1 promoted T cell infiltration and sensitivity to a combination immunotherapy regimen. Thus, tumor cell-intrinsic factors shape the tumor immune microenvironment and influence the outcome of immunotherapy.

Abstract 220: Intra-tumor immune heterogeneity is associated with prognosis of oropharyngeal head and neck squamous cell carcinoma

As cell-cell interactions among tumor and immune cells are known to contribute to tumor progression, in depth evaluation of tumor-immune heterogeneity will enable biomarker-guided patient stratification and improvement of treatment response. Here we examined head and neck squamous cell carcinomas (HNSCC) to reveal the prognostic significance of leukocytes in tumors with regards to their complexity, effector status and spatial characteristics via multiplex immunohistochemistry and image cytometry. To accomplish this, we examined oropharyngeal HNSCC (N = 38), where lymphoid, myeloid, and hypo-inflamed leukocyte complexity correlated with HPV-status (Tsujikawa et al. Cell Reports, 2017). In the present study, quantitative analysis of cell density and distribution of 14-distinct immune cell lineages (e.g., CD8+ T cells, regulatory T cells, Th1, Th2, Th17, Th0 lymphocytes, B cells, NK cells, CD163+ and CD163- macrophages, mature and immature dendritic cells, mast cells, granulocytes) was analyzed via immune cell density mapping and tissue segmentation algorithms. We revealed tropism of polarized Th1-type cells within tumor nests versus stroma in HPV-associated HNSCC. In addition, Cox regression analysis of cell density and distribution of the 14 immune populations revealed that CD66b+ granulocyte infiltration within tumor nests reflected a negative prognostic indicator for HNSCC outcome. Furthermore, cell-cell proximity analysis in HPV-associated HNSCC further revealed a correlation between PD-L1 positive immune cells, and micro-regionally polarized immune characteristics biased towards Th1, coincident with high density of CD8+ T cells. These results reveal intra-tumor immune heterogeneity is associated with micro-regional immune complexity profiles, and provide insight into in situ immune characteristics that may aid patient stratification for immune therapy going forward. Acknowledgement: This project was supported by the Japan Society for the Promotion of Science Grant-in-Aid for Young Scientists (Start-up, 17H07016), Oregon Clinical and Translational Research Institute (OCTRI), grant number (UL1TR000128) from the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health (NIH), and P30 CA069533-17 OHSU Knight Cancer Institute. LMC acknowledges support from the NIH/NCI, DOD BCRP Era of Hope Scholar Expansion Award, Susan G. Komen Foundation, Stand Up To Cancer - Lustgarten Foundation Pancreatic Cancer Convergence Dream Team Translational Research Grant, Breast Cancer Research Foundation, and the Brenden-Colson Center for Pancreatic Health.

Citation Format: Takahiro Tsujikawa, Guillaume Thibault, Young Hwan Chang, Edward El Rassi, Daniel R. Clayburgh, David Sauer, Akihito Arai, Molly F. Kulesz-Martin, Motomi Mori, Shigeru Hirano, Paul W. Flint, Lisa M. Coussens. Intra-tumor immune heterogeneity is associated with prognosis of oropharyngeal head and neck squamous cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 220.

Abstract 611: PD-1-based combination immunotherapy reinvigorates CD8+ T cells in metastatic pancreatic cancer patients with improved survival

Background: Metastatic pancreatic ductal adenocarcinoma (PDAC) is lethal with a 5-year survival rate of 2%. Single-agent immunotherapies fail to show clinical activity due to a complex tumor microenvironment (TME) and lack of effector T cells. We previously showed that an irradiated, granulocyte-macrophage colony-stimulating factor (GM-CSF)-secreting, allogeneic PDAC vaccine (GVAX) given as neoadjuvant recruited T cells into the tumor and upregulated the PD-1/PD-L1 pathway. Here we described the first testing of GVAX prime given with attenuated listeria monocytogenes expressing mesothelin (CRS-207) boost given with or without nivolumab to block PD-1 signaling and evaluated changes in the TME.

Experimental Design: Metastatic pancreatic tumor biopsies were obtained at baseline and after 2 GVAX prime and 1 CRS-207 boost from vaccinated patients. Nivolumab was administered with each vaccine in patients randomized to the nivolumab arm. Biopsies containing high density of tumor cells (>30%) were chosen for multiplex immunohistochemistry (IHC) to examine changes in the immune cell subtypes and their signals in tumors. We did a comparative analysis looking at lymphoid, myeloid complexity, and immune functional status in the tumor microenvironment of patients who have overall survival <6 months [short OS] and >6 months [long OS].

Results: Post-immunotherapy changes in immune cell profiles correlated with overall survival. After prime-boost, expansion of CD8+ T cells was observed in the long OS group. Evaluation of the functional status of CD8+ T cells after prime-boost of short OS group showed an EOMES+PD1+ exhausted phenotype. In the myeloid compartment, low CSF1R+ tumor associated macrophages and CD68+ CD163+ and CD163- myeloid frequency in post-immunotherapy tumors were associated with less exhaustion of CD8+ T cells and long OS. The clinical trial is ongoing and blinded to study arm; thus, we have not yet analyzed whether nivolumab influences results. These data will be available at the time of abstract presentation.

Conclusion: This study provides evidence that longitudinal changes in immune cell complexity profiles can be correlated with overall survival. Increases in CD8+ early effectors and decreases in monocytes in baseline versus post-immunotherapy tumors are associated with improved survival. The exhausted CD8+ T cell profile in short OS patients may predict early responders versus nonresponders to vaccine containing immunotherapy.

Citation Format: Annie A. Wu, Takahiro Tsujikawa, Gina Choe, Teresa Beechwood, Lisa M. Coussens, Jennifer N. Durham, Elizabeth M. Jaffee, Dung T. Le. PD-1-based combination immunotherapy reinvigorates CD8+ T cells in metastatic pancreatic cancer patients with improved survival [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 611.

Understanding the tumor immune microenvironment (TIME) for effective therapy

The clinical successes in immunotherapy have been both astounding and at the same time unsatisfactory. Countless patients with varied tumor types have seen pronounced clinical response with immunotherapeutic intervention; however, many more patients have experienced minimal or no clinical benefit when provided the same treatment. As technology has advanced, so has the understanding of the complexity and diversity of the immune context of the tumor microenvironment and its influence on response to therapy. It has been possible to identify different subclasses of immune environment that have an influence on tumor initiation and response and therapy; by parsing the unique classes and subclasses of tumor immune microenvironment (TIME) that exist within a patient's tumor, the ability to predict and guide immunotherapeutic responsiveness will improve, and new therapeutic targets will be revealed.

TIM-3 Regulates CD103+ Dendritic Cell Function and Response to Chemotherapy in Breast Cancer

Intratumoral CD103⁺ dendritic cells (DCs) are necessary for anti-tumor immunity. Here we evaluated the expression of immune regulators by CD103⁺ DCs in a murine model of breast cancer and identified expression of TIM-3 as a target for therapy. Anti-TIM-3 antibody improved response to paclitaxel chemotherapy in models of triple-negative and luminal B disease, with no evidence of toxicity. Combined efficacy was CD8⁺ T cell dependent and associated with increased granzyme B expression; however, TIM-3 expression was predominantly localized to myeloid cells in both human and murine tumors. Gene expression analysis identified upregulation of Cxcl9 within intratumoral DCs during combination therapy, and therapeutic efficacy was ablated by CXCR3 blockade, Batf3 deficiency, or Irf8 deficiency.

B cells as biomarkers: predicting immune checkpoint therapy adverse events

Immune checkpoint inhibitors are becoming a cornerstone of cancer immunotherapy as a result of their clinical success in relieving immune suppression and driving durable antitumor T cell responses in certain subsets of patients. Unfortunately, checkpoint inhibition is also associated with treatment-related toxicities that result in a myriad of side effects, ranging from mild and manageable to severe and debilitating. In this issue of the JCI, Das and colleagues report an association between early therapy-induced changes in circulating B cells and an increased risk of high-grade immune-related adverse events (IRAEs) in patients treated with checkpoint inhibitors that target cytotoxic T lymphocyte-associated antigen-4 (CTLA4) and programmed cell death protein 1 (PD1). These findings identify potential predictive biomarkers for high-grade IRAEs that may be leveraged to improve patient monitoring and may prompt new treatment strategies to prevent IRAEs.

Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients

Preclinical mouse models suggest that the gut microbiome modulates tumor response to checkpoint blockade immunotherapy; however, this has not been well-characterized in human cancer patients. Here we examined the oral and gut microbiome of melanoma patients undergoing anti-programmed cell death 1 protein (PD-1) immunotherapy (n = 112). Significant differences were observed in the diversity and composition of the patient gut microbiome of responders versus nonresponders. Analysis of patient fecal microbiome samples (n = 43, 30 responders, 13 nonresponders) showed significantly higher alpha diversity (P < 0.01) and relative abundance of bacteria of the Ruminococcaceae family (P < 0.01) in responding patients. Metagenomic studies revealed functional differences in gut bacteria in responders, including enrichment of anabolic pathways. Immune profiling suggested enhanced systemic and antitumor immunity in responding patients with a favorable gut microbiome as well as in germ-free mice receiving fecal transplants from responding patients. Together, these data have important implications for the treatment of melanoma patients with immune checkpoint inhibitors.

Quantitative Multiplex Immunohistochemistry Reveals Myeloid-Inflamed Tumor-Immune Complexity Associated with Poor Prognosis

Here, we describe a multiplexed immunohistochemical platform with computational image processing workflows, including image cytometry, enabling simultaneous evaluation of 12 biomarkers in one formalin-fixed paraffin-embedded tissue section. To validate this platform, we used tissue microarrays containing 38 archival head and neck squamous cell carcinomas and revealed differential immune profiles based on lymphoid and myeloid cell densities, correlating with human papilloma virus status and prognosis. Based on these results, we investigated 24 pancreatic ductal adenocarcinomas from patients who received neoadjuvant GVAX vaccination and revealed that response to therapy correlated with degree of mono-myelocytic cell density and percentages of CD8⁺ T cells expressing T cell exhaustion markers. These data highlight the utility of in situ immune monitoring for patient stratification and provide digital image processing pipelines to the community for examining immune complexity in precious tissue sections, where phenotype and tissue architecture are preserved to improve biomarker discovery and assessment.

Immune Escape in Breast Cancer During In Situ to Invasive Carcinoma Transition

To investigate immune escape during breast tumor progression, we analyzed the composition of leukocytes in normal breast tissues, ductal carcinoma in situ (DCIS), and invasive ductal carcinomas (IDC). We found significant tissue and tumor subtype-specific differences in multiple cell types including T cells and neutrophils. Gene expression profiling of CD45+CD3+ T cells demonstrated a decrease in CD8+ signatures in IDCs. Immunofluorescence analysis showed fewer activated GZMB+CD8+ T cells in IDC than in DCIS, including in matched DCIS and recurrent IDC. T-cell receptor clonotype diversity was significantly higher in DCIS than in IDCs. Immune checkpoint protein TIGIT-expressing T cells were more frequent in DCIS, whereas high PD-L1 expression and amplification of CD274 (encoding PD-L1) was only detected in triple-negative IDCs. Coamplification of a 17q12 chemokine cluster with ERBB2 subdivided HER2+ breast tumors into immunologically and clinically distinct subtypes. Our results show coevolution of cancer cells and the immune microenvironment during tumor progression.Significance: The design of effective cancer immunotherapies requires the understanding of mechanisms underlying immune escape during tumor progression. Here we demonstrate a switch to a less active tumor immune environment during the in situ to invasive breast carcinoma transition, and identify immune regulators and genomic alterations that shape tumor evolution. Cancer Discov; 7(10); 1098-115. ©2017 AACR.See related commentary by Speiser and Verdeil, p. 1062This article is highlighted in the In This Issue feature, p. 1047.

Surgical Procedures and Methodology for a Preclinical Murine Model of De Novo Mammary Cancer Metastasis

A rate-limiting aspect of transgenic mouse models of mammary adenocarcinoma is that primary tumor burden in mammary tissue typically defines study end-points. Thus, studies focused on elucidating mechanisms of late-stage de novo metastasis are compromised, as are studies examining efficacy of anti-cancer therapies targeting mediators of metastasis in the adjuvant setting. Numerous murine mammary cancer models have been developed via targeted expression of dominant oncoproteins to mammary epithelial cells yielding models variably mimicking histopathologic and transcriptome-defined breast cancer subtypes common in women1. While much has been learned regarding the biology of mammary carcinogenesis with these models, their utility in identifying molecules regulating growth of late-stage metastasis are compromised as mice are typically euthanized at earlier time points due to significant primary tumor burden. Moreover, since a significant percentage of women diagnosed with breast cancer receive adjuvant therapy after surgical resection of primary tumors and prior to presence of detectable metastatic disease, preclinical models of de novo metastasis are urgently needed as platforms to evaluate new therapies aimed at targeting metastatic foci. To address these deficiencies, we developed a murine model of de novo mammary cancer metastasis, wherein primary mammary tumors are surgically resected, and metastatic foci subsequently develop over a 115 day post-surgical period. This long latency provides a tractable model to identify functionally significant regulators of metastatic progression in mice lacking primary tumor, as well as a model to evaluate preclinical therapeutic efficacy of agents aimed at blocking functionally significant molecules aiding metastatic tumor survival and growth.

Multiplexed immunohistochemistry image analysis using sparse coding

Multiplexed immunohistochemical (IHC) methods have been developed to evaluate multiple protein biomarkers in a single formalin-fixed paraffin-embedded (FFPE) tissue section. Since distinct populations of resident and recruited immune cells in tissues (and tumors) not only regulate progression of malignant disease, these also represent targets for novel immune-based therapies; thus, improved tissue biomarker assessment evaluating immune responses in situ are needed. To objectively identify distinct cell subsets in tissues and tumors, we adopted sparse coding approaches enabling modeling of data vectors as sparse linear combinations of basis elements, to audit cellular presence and phenotypes using image cytometry datasets with unbiased assessments. By doing comparative analyses between manual gating (ground truth) and sparse coding, we report that results are comparable as obtained by manual gating strategies, and demonstrate robustness and objectivity of this novel bioinformatics approach.

Abstract 3706: Validation of human and mouse myeloid panels on the NanoString® nCounter® Platform

Introduction: The innate immune system profoundly influences cancer development as well as its response to various therapeutic approaches. Multiple myeloid cell lineages are central to the innate immune response during cancer and have been found to regulate diverse cellular processes encompassing immune suppression, angiogenesis, invasion, metastasis, and drug resistance. NanoString has collaborated with the laboratory of Prof. Lisa M. Coussens to develop research gene panels for quantitative and qualitative analysis of various myeloid subsets by evaluating relative enrichment of genes that mark recruitment and presence of select myeloid subtypes (e.g., granulocytes, dendritic cells, monocytes, macrophages, mast cells), their cell function, activation and effector status.

Methods: Gene content for human and murine versions of the myeloid panels were developed from an in-house high content proteomic screen of macrophage activation (unpublished), genomic analysis of human tumor associated macrophages (unpublished), and data mining from publically available datasets featuring myeloid transcriptomes. In total, 692 genes were included in the human panel and 675 genes in the murine panel. The panels were optimized to work across a range of sample types including fresh frozen tissues, formalin-fixed paraffin-embedded (FFPE) samples, peripheral blood mononuclear cells and cell lysates.

Results: To validate the panel content, we are profiling myeloid infiltrates in syngeneic murine models of mesothelioma and mammary tumorigenesis by flow cytometric analysis and the nCounter myeloid panels. Since the quality of the myeloid tumor response can skew toward adaptive immune activating (Th1) or suppressive (Th2) phenotypes, we will profile the same tumor samples with the NanoString PanCancer Immune Profiling panel to evaluate T cell activation status by gene expression and flow cytometry as well as global immune response. Finally, myeloid complexity and T cell activation status in both primary tumor and lung metastases will be evaluated by NanoString to assess regulation of adaptive immune responses by the innate compartment in distinct tumor microenvironments.

Conclusions: Upon validation with these assays, the myeloid gene panels may provide insight into how the innate immune system regulates cancer development and response to therapeutic pressure. Improved characterization of the myeloid compartment may lead to greater insight into the fundamental biology of tumor-immune interactions, novel therapeutic strategies, and other applications.

Citation Format: Sushil Kumar, Sarah Warren, Tiziana Cotechini, Terry Medler, Christina Bailey, Joseph M. Beechem, Joseph M. Beechem, Lisa M. Coussens. Validation of human and mouse myeloid panels on the NanoString® nCounter® Platform [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3706. doi:10.1158/1538-7445.AM2017-3706

Colorectal Cancer Liver Metastasis: Evolving Paradigms and Future Directions

In patients with colorectal cancer (CRC) that metastasizes to the liver, there are several key goals for improving outcomes including early detection, effective prognostic indicators of treatment response, and accurate identification of patients at high risk for recurrence. Although new therapeutic regimens developed over the past decade have increased survival, there is substantial room for improvement in selecting targeted treatment regimens for the patients who will derive the most benefit. Recently, there have been exciting developments in identifying high-risk patient cohorts, refinements in the understanding of systemic vs localized drug delivery to metastatic niches, liquid biomarker development, and dramatic advances in tumor immune therapy, all of which promise new and innovative approaches to tackling the problem of detecting and treating the metastatic spread of CRC to the liver. Our multidisciplinary group held a state-of-the-science symposium this past year to review advances in this rapidly evolving field. Herein, we present a discussion around the issues facing treatment of patients with CRC liver metastases, including the relationship of discrete gene signatures with prognosis. We also discuss the latest advances to maximize regional and systemic therapies aimed at decreasing intrahepatic recurrence, review recent insights into the tumor microenvironment, and summarize advances in noninvasive multimodal biomarkers for early detection of primary and recurrent disease. As we continue to advance clinically and technologically in the field of colorectal tumor biology, our goal should be continued refinement of predictive and prognostic studies to decrease recurrence after curative resection and minimize treatment toxicity to patients through a tailored multidisciplinary approach to cancer care.

Colorectal Cancer Liver Metastasis: Evolving Paradigms and Future Directions

In patients with colorectal cancer (CRC) that metastasizes to the liver, there are several key goals for improving outcomes including early detection, effective prognostic indicators of treatment response, and accurate identification of patients at high risk for recurrence. Although new therapeutic regimens developed over the past decade have increased survival, there is substantial room for improvement in selecting targeted treatment regimens for the patients who will derive the most benefit. Recently, there have been exciting developments in identifying high-risk patient cohorts, refinements in the understanding of systemic vs localized drug delivery to metastatic niches, liquid biomarker development, and dramatic advances in tumor immune therapy, all of which promise new and innovative approaches to tackling the problem of detecting and treating the metastatic spread of CRC to the liver. Our multidisciplinary group held a state-of-the-science symposium this past year to review advances in this rapidly evolving field. Herein, we present a discussion around the issues facing treatment of patients with CRC liver metastases, including the relationship of discrete gene signatures with prognosis. We also discuss the latest advances to maximize regional and systemic therapies aimed at decreasing intrahepatic recurrence, review recent insights into the tumor microenvironment, and summarize advances in noninvasive multimodal biomarkers for early detection of primary and recurrent disease. As we continue to advance clinically and technologically in the field of colorectal tumor biology, our goal should be continued refinement of predictive and prognostic studies to decrease recurrence after curative resection and minimize treatment toxicity to patients through a tailored multidisciplinary approach to cancer care.