Tumor Microarray Research Articles

Abstract B037: Expression of MRTFA facilitates an immunosuppressive tumor microenvironment via upregulation of VSIR

Abstract Breast cancer, the second highest cause of cancer-related deaths in women, accounts for 31% of female cancer diagnoses. African American women have lower survival rates than White American women, influenced by both biological factors (age, family history, genetic factors, tumor biology) and social determinants (socio-economic status, insurance status, health care access). However, precise biological determinants remain unclear. The primary reason for breast cancer mortality is metastasis to organs like the lung, liver, and brain, with transcription factors playing a key role in this process. Myocardin related transcription factor A/B (MRTFA/B) are co-activators of serum-response factor (SRF), and the MRTF-SRF complex promotes breast cancer cell migration, invasion, and metastasis by regulating genes involved in actin cytoskeleton remodeling. MRTFA also supports tumor growth by modulating cancer-associated fibroblasts (CAFs) and remodeling the extracellular matrix (ECM) in the tumor microenvironment. While the pro-metastatic role of MRTFA/B is established in vitro and in mice, their impact on human cancer progression and metastasis requires further investigation. Therefore, understanding MRTFA's role in breast cancer metastasis is crucial for improving patient outcomes, making it essential to investigate MRTFA/B expression patterns in both tumor cells and the tumor microenvironment (TME). To explore the clinical, demographic, tumor-intrinsic, and tumor microenvironmental patterns of MRTFA/B’s expression and activation, we utilized multiplex imaging methods on multiple racially diverse tissue microarrays (TMA) and bioinformatics analyses of The Cancer Genome Atlas (TCGA), Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), and available single-cell RNA sequencing datasets. Strikingly, MRTFA expression levels were higher in African American patients than in White American patients. Next, we investigated MRTFA expression patterns in the TME by using single-cell sequencing databases and found more abundant MRTFA expression in dendritic cells (DCs) within the TME compared to any other cell subtype. Moreover, our multiplex-imaging of tumor microarray (TMA) samples showed prominent MRTFA expression in HLA-DRA+CD45+ cells, indicative of antigen-presenting cells (APC). Notably, public single-cell RNA sequencing data indicated that breast cancer DCs strongly express the V-set immunoregulatory receptor (VSIR), an immune checkpoint protein, implying the immunosuppressive nature of the TME and we found that this increased VSIR expression is mediated by the MRTF-SRF complex. These findings suggest that DCs expressing MRTFA in breast cancer microenvironment contribute to creating the immunosuppressive TME via upregulation of VSIR expression, resulting in racial breast cancer disparities. Citation Format: Kihak Lee, Stephanie M. Wilk, Alexa M. Gajda, Mohamed Haloul, Virgilia Macias, Elizabeth L. Wiley, Zhengjia Chen, Xinyi Liu, Xiaowei Wang, Maria Sverdlov, Kent F. Hoskins, Ekrem Emrah Er. Expression of MRTFA facilitates an immunosuppressive tumor microenvironment via upregulation of VSIR [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr B037.

Identifying A Relationship Between Oxidative Stress And Immune Infiltration In Prostate Cancer Patients With Health Disparities Using Prostate Tumor Microarrays

Identifying A Relationship Between Oxidative Stress And Immune Infiltration In Prostate Cancer Patients With Health Disparities Using Prostate Tumor Microarrays

Growth differentiation factor 7 alleviates the proliferation and metastasis of hepatocellular carcinoma

Background and aimInflammatory factors play significant roles in the development and occurrence of hepatocellular carcinoma (HCC). However, the tumor-protective functions of growth differentiation factors (GDFs) in HCC are yet to be clarified. In this study, we aimed to evaluate the expression levels of 10 GDFs in tumor and paratumor tissues from patients with HCC and perform in vitro and in vivo experiments to elucidate the role of GDF7 in regulating the proliferation and metastasis of HCC. MethodsThe gene expression of 10 GDFs was compared between HCC and paratumors using The Cancer Genome Atlas dataset and patient-derived tissues. A tumor microarray containing 108 HCC tissue samples was used to explore the prognostic value of GDF7 expression. Loss-of-function experiments were also performed in vitro and in vivo to investigate the role of GDF7 in HCC. ResultsThe mRNA and protein levels of GDF7 were significantly lower in HCC tumors than in paratumors (P < 0.001). Kaplan–Meier analysis showed that decreased GDF7 expression in HCC was associated with worse overall survival (5-year rate: 61.8% vs. 27.5%, P < 0.001) and increased recurrence risk (P < 0.001). Multivariate Cox regression analysis demonstrated that low GDF7 expression, the presence of microvascular invasion, and elevated alpha-fetoprotein (AFP) levels were independent risk factors for tumor recurrence and poor survival. Downregulation of GDF7 also increased the tumor growth in HCC cells and in an HCC xenograft model. GDF7 knockdown promoted migration and invasion via epithelial–mesenchymal transition. Meanwhile, a negative correlation between JunB proto-oncogene (JUNB) and GDF7 was observed in HCC tissues. Modulating JUNB levels altered GDF7 protein expression. ConclusionGDF7 is a potential biomarker for predicting superior outcomes in patients with HCC. GDF7 amplification is a potential therapeutic option for HCC.

Spatial resolution of the head and neck cancer tumor microenvironment to identify tumor and stromal features associated with therapy response.

Head and neck cancer (HNC) is the seventh most common cancer globally, resulting in 440 000 deaths per year. While there have been advancements in chemoradiotherapy and surgery, relapse occurs in more than half of HNCs, and these patients have a median survival of 10 months and a 2-year survival of < 20%. Only a subset of patients displays durable benefits from immunotherapies in metastatic and recurrent HNC, making it critical to understand the tumor microenvironment (TME) underpinning therapy responses in HNC. To recognize biological differences within the TME that may be predictive of immunotherapy response, we applied cutting-edge geospatial whole-transcriptome profiling (NanoString GeoMx Digital Spatial Profiler) and spatial proteomics profiling (Akoya PhenoCycler-Fusion) on a tumor microarray consisting of 25 cores from 12 patients that included 4 immunotherapy-unresponsive (8 cores) and 2 immunotherapy-responsive patients (5 cores), as well as 6 immunotherapy naïve patients (12 cores). Through high-plex, regional-based transcriptomic mapping of the tumor and TME, pathways involved with the complement system and hypoxia were identified to be differentially expressed in patients who went on to experience a poor immunotherapy response. Single-cell, targeted proteomic analysis found that immune cell infiltration of the cancer cell mass and interactions of CD8 Tcells with tumor and other immune cells were associated with positive immunotherapy response. The relative abundance of specific tumor phenotypes and their interactions with various immune cells was identified to be different between response groups. This study demonstrates how spatial transcriptomics and proteomics can resolve novel alterations in the TME of HNC that may contribute to therapy sensitivity and resistance.

BUB1 Inhibition Overcomes Radio- and Chemoradiation Resistance in Lung Cancer.

Background: Despite advances in targeted therapies and immunotherapies, traditional treatments like microtubule stabilizers (paclitaxel, docetaxel), DNA-intercalating platinum drugs (cisplatin), and radiation therapy remain essential for managing locally advanced and metastatic lung cancer. Identifying novel molecular targets could enhance the efficacy of these treatments. Hypothesis: We hypothesize that BUB1 (Ser/Thr kinase) is overexpressed in lung cancers and its inhibition will sensitize lung cancers to chemoradiation. Methods: BUB1 inhibitor (BAY1816032) was combined with cisplatin, paclitaxel, a PARP inhibitor olaparib, and radiation in cell proliferation and radiation-sensitization assays. Biochemical and molecular assays evaluated the impact on DNA damage signaling and cell death. Results: Immunostaining of lung tumor microarrays (TMAs) confirmed higher BUB1 expression in non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) compared to normal tissues. In NSCLC, BUB1 overexpression correlated directly with the expression of TP53 mutations and poorer overall survival in NSCLC and SCLC patients. BAY1816032 synergistically sensitized lung cancer cell lines to paclitaxel and olaparib and enhanced cell killing by radiation in both NSCLC and SCLC. Molecular analysis indicated a shift towards pro-apoptotic and anti-proliferative states, evidenced by altered BAX, BCL2, PCNA, and Caspases-9 and -3 expressions. Conclusions: Elevated BUB1 expression is associated with poorer survival in lung cancer. Inhibiting BUB1 sensitizes NSCLC and SCLC to chemotherapies (cisplatin, paclitaxel), targeted therapy (olaparib), and radiation. Furthermore, we present the novel finding that BUB1 inhibition sensitized both NSCLC and SCLC to radiotherapy and chemoradiation. Our results demonstrate BUB1 inhibition as a promising strategy to sensitize lung cancers to radiation and chemoradiation therapies.

Proteomic Heterogeneity of the Extracellular Matrix Identifies Histologic Subtype-Specific Fibroblast in Gastric Cancer

Gastric cancer (GC) is a highly heterogeneous disease regarding histologic features, genotypes, and molecular phenotypes. Here, we investigate extracellular matrix (ECM)-centric analysis, examining its association with histologic subtypes and patient prognosis in human GC. We performed quantitative proteomic analysis of decellularized GC tissues that characterizes tumorous ECM, highlighting proteomic heterogeneity in ECM components. We identified 20 tumor-enriched proteins including four glycoproteins, serpin family H member 1 (SERPINH1), annexin family (ANXA3/4/5/13), S100A family (S100A6/8/9), MMP14, and other matrisome-associated proteins. In addition, histopathological characteristics of GC reveals differential expression in ECM composition, with the poorly cohesive carcinoma-not otherwise specified (PCC-NOS) subtype being distinctly demarcated from other histologic subtypes. Integrating ECM proteomics with single-cell RNA sequencing, we identified crucial molecular markers in the PCC-NOS-specific stroma. PCC-NOS-enriched matrisome proteins and gene expression signatures of adipogenic cancer-associated fibroblasts (CAFadi) are closely linked, both associated with adverse outcomes in GC. Using tumor microarray analysis, we confirmed the CAFadi surface marker, ATP binding cassette subfamily A member 8 (ABCA8), predominantly present in PCC-NOS tumors. Our ECM-focused analysis paves the way for studies to determine their utility as biomarkers for patient stratification, offering valuable insights for linking molecular and histologic features in GC.

Mapping the breast tumor microenvironment: proximity analysis reveals spatial relationships between macrophage subtypes and metastasis-initiating cancer cells.

Metastasis is responsible for the majority of cancer-related fatalities. We previously identified specific cancer cell populations responsible for metastatic events which are cytokeratin-14 (CK14) and E-cadherin positive in luminal tumors, and E-cadherin and vimentin positive in triple-negative tumors. Since cancer cells evolve within a complex ecosystem comprised of immune cells and stromal cells, we sought to decipher the spatial interactions of these aggressive cancer cell populations within the tumor microenvironment (TME). We used imaging mass cytometry to detect 36 proteins in tumor microarrays containing paired primary and metastatic lesions from luminal or triple-negative breast cancers (TNBC), resulting in a dataset of 1,477,337 annotated cells. Focusing on metastasis-initiating cell populations, we observed close proximity to specific fibroblast and macrophage subtypes, a relationship maintained between primary and metastatic tumors. Notably, high CK14 in luminal cancer cells and high vimentin in TNBC cells correlated with close proximity to specific macrophage subtypes (CD163intCD206intPDL1intHLA-DR+ or PDL1highARG1high). Our in-depth spatial analysis demonstrates that metastasis-initiating cancer cells consistently colocalizes with distinct cell populations within the TME, suggesting a role for these cell-cell interactions in promoting metastasis.

The immunomodulatory role of paracrine signalling factor VSIG4 in peritoneal metastases

Peritoneal metastasis (PM), the regional progression of intra-abdominal malignancies, is a common sequelae of colorectal cancer (CRC). Immunotherapy is slated to be effective in generating long-lasting anti-tumour response as it utilizes the specificity and memory of the immune system. In the tumour microenvironment, tumour associated macrophages (TAMs) are posited to create an anti-inflammatory pro-tumorigenic environment. In this paper, we aimed to identify immunomodulatory factors associated with colorectal PM (CPM). A publicly available colorectal single cell database (GSE183916) was analysed to identify possible immunological markers that are associated with the activation of macrophages in cancers. Immunohistochemical analysis for V-set and immunoglobin containing domain 4 (VSIG4) expression was performed on tumour microarrays (TMAs) of tumours of colorectal origin (n = 211). Expression of VSIG4 in cell-free ascites obtained from CPM patients (n = 39) was determined using enzyme-linked immunosorbent assay (ELISA). CD163-positive TAMs cluster expression was extracted from a publicly available single cell database and evaluated for the top 100 genes. From these macrophage-expressed genes, VSIG4, a membrane protein produced by the M2 macrophages, mediates the up-regulation of anti-inflammatory and down-regulation of pro-inflammatory macrophages, contributing to an overall anti-inflammatory state. CRC TMA IHC staining showed that low expression of VSIG4 in stromal tissues of primary CRC are associated with poor prognosis (p = 0.0226). CPM ascites also contained varying concentrations of VSIG4, which points to a possible role of VSIG4 in the ascites. The contribution of VSIG4 to CPM development can be further evaluated for its potential as an immunotherapeutic agent.

Beyond Triple-Negative: High Prevalence of Quadruple-Negative Breast Cancer in African Americans.

Quadruple-negative breast cancer (QNBC) is a triple-negative breast cancer (TNBC) subtype that lacks expression of the androgen (AR) receptor. Few studies have focused on this highly aggressive breast cancer, portending worse survival rates. We aimed to determine the following: (1) QNBC's molecular and clinical characteristics and compare them with other subtypes and (2) QNBC's association with clinicopathological factors and prognostic markers. We performed immunohistochemical evaluations of ARs on tissue tumor microarrays from FFPE tumor blocks of invasive ductal breast carcinomas in 202 African American women. Univariate analysis was performed using the chi-square test, with survival rates calculated using Kaplan-Meier curves. Overall, 75.8% of TNBCs were AR-negative. Compared to the luminal subtypes, TNBC and QNBC tumors were likely to be a higher grade (p < 0.001); HER2+/AR- and QNBCs were also larger than the other subtypes (p < 0.001). They also expressed increasing mean levels of proteins involved in invasion, such as CD44, fascin, and vimentin, as well as decreasing the expression of proteins involved in mammary differentiation, such as GATA3 and mammaglobin. We found no association between QNBC and stage, recurrence-free survival, or overall survival rates. The high prevalence of TNBC AR-negativity in these women could explain observed worse outcomes, supporting the existence of the unique QNBC subtype.

Comprehensive characterization of B7 family members in breast cancer: B7-H5 switch reverses breast cancer from “immuno-cold” into “immuno-hot” status

The members of the classic B7 family regulate the immune microenvironment of several malignant tumors. However, the potential relationship between the B7 family and the breast cancer (BrCa) tumor immune microenvironment has remained elusive. In the present study, we provide a comprehensive explanation of the expression, clinical significance, mutation, and immune cell infiltration of B7 family molecules in BrCa. First, we recruited 10 patients with BrCa surgery from the Wuxi Maternal and Child Health Hospital and performed single-cell RNA sequencing (scRNA-seq) analysis to investigate the distribution of B7 family members in multiple immune cell subsets. We focused on B7-2, B7-H3, and B7-H5 molecules of the B7 family and constructed tumor microarrays by self-recruiting patients to perform multiple immunohistochemical (mIHC) analyses and study tumor expression of B7-2, B7-H3, B7-H5 and CD8+ immune cell infiltration. B7-H5 displayed a strong correlation with CD8+ immune cell infiltration. In summary, B7-H5 provides a new perspective for the identification of immunothermal subtypes of BrCa and could function as a switch to reverse BrCa from an “immunologically cold” state to an “immunologically hot” state.Graphical abstract

The transcriptional landscape of cancer stem-like cell functionality in breast cancer

BackgroundCancer stem-like cells (CSCs) have been extensively researched as the primary drivers of therapy resistance and tumor relapse in patients with breast cancer. However, due to lack of specific molecular markers, increased phenotypic plasticity and no clear clinicopathological features, the assessment of CSCs presence and functionality in solid tumors is challenging. While several potential markers, such as CD24/CD44, have been proposed, the extent to which they truly represent the stem cell potential of tumors or merely provide static snapshots is still a subject of controversy. Recent studies have highlighted the crucial role of the tumor microenvironment (TME) in influencing the CSC phenotype in breast cancer. The interplay between the tumor and TME induces significant changes in the cancer cell phenotype, leading to the acquisition of CSC characteristics, therapeutic resistance, and metastatic spread. Simultaneously, CSCs actively shape their microenvironment by evading immune surveillance and attracting stromal cells that support tumor progression.MethodsIn this study, we associated in vitro mammosphere formation assays with bulk tumor microarray profiling and deconvolution algorithms to map CSC functionality and the microenvironmental landscape in a large cohort of 125 breast tumors.ResultsWe found that the TME score was a significant factor associated with CSC functionality. CSC-rich tumors were characterized by an immune-suppressed TME, while tumors devoid of CSC potential exhibited high immune infiltration and activation of pathways involved in the immune response. Gene expression analysis revealed IFNG, CXCR5, CD40LG, TBX21 and IL2RG to be associated with the CSC phenotype and also displayed prognostic value for patients with breast cancer.ConclusionThese results suggest that the characterization of CSCs content and functionality in tumors can be used as an attractive strategy to fine-tune treatments and guide clinical decisions to improve patients therapy response.

AZGP1 deficiency promotes angiogenesis in prostate cancer

BackgroundLoss of AZGP1 expression is a biomarker associated with progression to castration resistance, development of metastasis, and poor disease-specific survival in prostate cancer. However, high expression of AZGP1 cells in prostate cancer has been reported to increase proliferation and invasion. The exact role of AZGP1 in prostate cancer progression remains elusive.MethodAZGP1 knockout and overexpressing prostate cancer cells were generated using a lentiviral system. The effects of AZGP1 under- or over-expression in prostate cancer cells were evaluated by in vitro cell proliferation, migration, and invasion assays. Heterozygous AZGP1± mice were obtained from European Mouse Mutant Archive (EMMA), and prostate tissues from homozygous knockout male mice were collected at 2, 6 and 10 months for histological analysis. In vivo xenografts generated from AZGP1 under- or over-expressing prostate cancer cells were used to determine the role of AZGP1 in prostate cancer tumor growth, and subsequent proteomics analysis was conducted to elucidate the mechanisms of AZGP1 action in prostate cancer progression. AZGP1 expression and microvessel density were measured in human prostate cancer samples on a tissue microarray of 215 independent patient samples.ResultNeither the knockout nor overexpression of AZGP1 exhibited significant effects on prostate cancer cell proliferation, clonal growth, migration, or invasion in vitro. The prostates of AZGP1−/− mice initially appeared to have grossly normal morphology; however, we observed fibrosis in the periglandular stroma and higher blood vessel density in the mouse prostate by 6 months. In PC3 and DU145 mouse xenografts, over-expression of AZGP1 did not affect tumor growth. Instead, these tumors displayed decreased microvessel density compared to xenografts derived from PC3 and DU145 control cells, suggesting that AZGP1 functions to inhibit angiogenesis in prostate cancer. Proteomics profiling further indicated that, compared to control xenografts, AZGP1 overexpressing PC3 xenografts are enriched with angiogenesis pathway proteins, including YWHAZ, EPHA2, SERPINE1, and PDCD6, MMP9, GPX1, HSPB1, COL18A1, RNH1, and ANXA1. In vitro functional studies show that AZGP1 inhibits human umbilical vein endothelial cell proliferation, migration, tubular formation and branching. Additionally, tumor microarray analysis shows that AZGP1 expression is negatively correlated with blood vessel density in human prostate cancer tissues.ConclusionAZGP1 is a negative regulator of angiogenesis, such that loss of AZGP1 promotes angiogenesis in prostate cancer. AZGP1 likely exerts heterotypical effects on cells in the tumor microenvironment, such as stromal and endothelial cells. This study sheds light on the anti-angiogenic characteristics of AZGP1 in the prostate and provides a rationale to target AZGP1 to inhibit prostate cancer progression.

Abstract 1066: Colocalization of ovarian cancer-associated biomarkers in tumors, cancer cells and extracellular vesicles

Abstract Introduction: We have previously shown that ovarian cancer can be detected with high specificity and sensitivity by interrogating colocalized membrane-associated cell-surface biomarkers on single tumor-associated extracellular vesicles (EVs). Our blood based Ovarian Cancer Test (OC Test) is composed of 5 cancer-associated biomarkers (BST-2, FOLR1, MUC-1, MUC-16, and sialylated Thomsen-nouveau antigen (sTn)) known to be overexpressed in ovarian cancer relative to healthy tissues. The test employs these 5 biomarkers in 3 combinations to capture and detect EVs from human plasma to distinguish high-grade serous ovarian carcinoma (HGSC) from both benign ovarian tumors and normal samples. Using super-resolution microscopy on ovarian cancer cell lines and EVs and multiplex immunohistochemistry of ovarian benign and tumor tissue, our study aimed to show that the 5 ovarian cancer biomarkers show 1) colocalization on ovarian cancer cells, 2) colocalization on the surface of EVs, and 3) colocalization on cancer cells within ovarian tumor biopsies. Methods: Super-resolution microscopy was employed to visualize stained biomarkers on the cell surface of a collection of ovarian cancer cell lines as well as on the surface of extracellular vesicles released by these cell lines. 58 HGSC (17 Stage I, 30 Stage II, and 10 Stage III) and 17 benign ovarian tumor K2EDTA plasma samples and paired FFPE tissue were sourced from the Ovarian Cancer Research Program (OVCARE, Vancouver BC, Canada). A tumor microarray from identical tissue samples was stained with an Opal multiplex-IHC (mIHC) assay comprised of antibodies to BST2, MUC1, sTn, and pan-cytokeratin and a DAPI counterstain. Machine learning based image analysis was utilized to determine colocalization of the biomarkers at the cellular level within benign and tumor tissue. RNA sequencing was carried out to assess expression levels of the biomarkers in each FFPE tissue sample. OC Tests were run on each plasma sample. Results: Super-resolution microscopy showed colocalization of OC Test combination biomarkers on ovarian cancer cells and EVs derived therefrom. Machine learning-based image analysis of tumor and benign tissue microarrays stained for BST2/MUC1/sTn using mIHC, showed strong evidence for colocalization of these biomarkers on single cells within ovarian tumor tissue, particularly in early-stage tumors, but not on benign tissue. RNA sequencing analysis showed good correlation of biomarker RNA expression levels and with the OC Test results. Conclusions: The results presented here demonstrate that the OC Test biomarkers are colocalized on tumor tissue, ovarian cancer cells, and EVs from ovarian cancer cell lines. RNA and protein expression levels show good correlation with OC Test results. These results provide further evidence that colocalized biomarkers on EVs can be utilized for early detection of cancer. Citation Format: Anthony D. Couvillon, Emily S. Winn-Deen, Shelby Thornton, Shuhong Liu, Michael DeRan, Maciej Pacula, Sanchari Banerjee, Daniel Gusenleitner, Laura T. Bortolin, Jonian Grosha, Timothy Santos-Heiman, Gabrielle Sangiuliano, Kelly M. Biette, Christopher R. Sedlak, Bilal Hamzeh, Delaney M. Byrne, Peter A. Duff, Julie Ho, Dongxia Gao, Amy Jamieson, Lauren T. Cuoco, MacKenzie S. King, Dawn R. Mattoon, Toumy Guettouche, Jessica N. McAlpine, David Huntsman. Colocalization of ovarian cancer-associated biomarkers in tumors, cancer cells and extracellular vesicles [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1066.

Abstract 6193: Exploring interplay between tumor intrinsic features and immune cell phenotypes in multi-tumor tissue microarrays by a single step 15-plex fluorescence immunohistochemistry and imaging on the Orion platform

Abstract Purpose: Deeper understanding of the intricacies between tumor microenvironments and immune cell infiltrates is critical for creation of next generation therapies. However, current immunohistochemistry protocols in clinical practice are restricted to one to six markers (cell types) and rely on multiple rounds of antigen retrieval and sequential staining over two days. This current workflow has high risk for tissue and signal loss. Hence, we explored utility of a single step staining workflow using 15 distinct antibodies conjugated novel flours (Argo Dye System) of formalin fixed paraffin embedded (FFPE) tumor microarrays and imaged on the Orion microscope (Rarecyte). Fidelity of the staining was assessed by comparing data from the Orion platform to internally developed clinical grade assays. The implementation of higher plex imaging will enable greater insight into immune surveillance, mechanisms of resistance and patient stratification while minimizing patient tissue required for analysis. Study Design: We utilized a custom panel developed by RareCyte (Hoescht, CD3e, CD4, CD8a, CD20, CD68, CD163, FOXP3, Ki67, Pan-CK, PD1, PDL1, CD45, Granzyme B, LAG3) to evaluate expression of immune markers on a pan-tumor and melanoma TMA including Hodgkin’s lymphoma, ovarian cancer, esophageal carcinoma, hepatic cell carcinoma, head and neck cancer. Serial sections were stained with 6-plex clinical grade assays, and correlation scores were determined between the 15-plex Orion and 6-plex assays utilizing TSA-based amplification. Results: In this study, the performance of Orion platform was assessed by quantitative and qualitative measures. Linear regression between the 6-plex clinical grade assays and 15-plex Orion workflow were calculated for a panel of biomarkers including CD3, CD4, CD8, CD68, CD163, CK, FOXP3, GZMB, Ki67, and PD1. Our results demonstrated that the Orion performed similarly to clinical grade assays both in terms of proportion of cells and fluorescence intensity (R2 ~ 0.7-0.98, Slope ~ 0.7-1.1). Conclusion: Our results suggest that the Orion platform offers a reliable and efficient solution for comprehensive biomarker analysis. Our results demonstrate that this platform can successfully capture the expression of 15 biomarkers on a single FFPE slide which offers workflow advantages over traditional TSA-based fIHC multiplexing that is limited to detection of 6 biomarkers on a single slide. The ability to analyze a wider range of biomarkers through a single platform has the potential to enhance the efficiency of biomarker analysis, leading to improved diagnostic and therapeutic outcomes in clinical practice. Citation Format: Richard Van Krieken, Jehovana O. Bender, Sophia Kekchidou, Michelle Burgin, Kristen Ruma, Naveen Dakappagari, Jennifer Bordeaux. Exploring interplay between tumor intrinsic features and immune cell phenotypes in multi-tumor tissue microarrays by a single step 15-plex fluorescence immunohistochemistry and imaging on the Orion platform [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6193.

Abstract 1103: Molecular signature for treatment-responsive and recurrent Wilms tumors

Abstract Wilms tumor is the most common solid renal malignancy in children. To better understand the biology of Wilms tumors and develop drugs especially against tumors that relapse, we sought to identify mutations in the exome, differential gene expression patterns, and tumor suppressor expression status of Wilms tumors in Kentucky. The Kentucky Cancer Registry (KCR) Virtual Tissue Repository identified 29 cases of Wilms tumor diagnosed between 2015 and 2021 at hospitals across the Commonwealth of Kentucky. The Markey Cancer Center Biospecimen Procurement and Translational Pathology Facility prepared tumor microarrays (TMAs) using Wilms tumor and matching normal tissue cores for immunohistochemistry (IHC) analysis. RNA-Seq analysis performed at the Markey Cancer Center Oncogenomics Facility identified a gene signature that was further validated by IHC and reverse-transcription quantitative-PCR (RT-qPCR). Outcome data provided by KCR indicated that increased expression of an anti-apoptotic protein in the tumor counter-intuitively provided better prognosis and outcome to treatment, indicating that the treatments either directly or indirectly targeted this protein. Loss of function of the tumor suppressor proteins in Par-4/PAWR, WT1 and p53 did not explain the higher expression of the cell survival protein. Our multidisciplinary team approach involves basic science/translational researchers, population scientists, biomedical informaticists, and clinicians and has resulted in well-characterized, Wilms tumor tissue microarrays. The next phase of the study is generating patient derived xenografts (PDXs) for a better understanding of Wilms tumor biology in children. Citation Format: Jieyun Jiang, Derek B. Allison, Ravshan Burikhanov, Saptadwipa Ganguly, Ryan A. Goettl, Jinpeng Liu, Chi Wang, Amanda F. Saltzman, Thomas Tucker, Peter H. Spielmann, Eric B. Durbin, John A. D’Orazio, Vivek M. Rangnekar. Molecular signature for treatment-responsive and recurrent Wilms tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1103.

Abstract 1900: TORL-3-600, a novel antibody drug conjugate directed against cadherin 17 (CDH17), has preclinical efficacy in colorectal, gastric, and pancreatic cancer

Abstract Cadherin 17 (CDH17) is a cell-to-cell adhesion protein that is a member of the cadherin superfamily. In normal tissues, expression of this single pass transmembrane protein is restricted to the lateral surfaces of intestinal and pancreatic ductal epithelial cells. However, in cancer, CDH17 is frequently overexpressed in tumors of the colon, stomach, and pancreas. The selective expression of this cell surface protein in these hard-to-treat cancer makes it an attractive target for the development of antibody-based therapeutics. Here, we describe the preclinical development of TORL-3-600, a novel CDH17-targeting antibody drug conjugate (ADC). CDH17 specific monoclonal antibodies were generated using traditional hybridoma technology and splenocytes isolated from mice immunized with cocktails of NIH3T3 cells overexpressing full length hCHD17 plus purified mammalian expressed hCDH17 extracellular domain protein (aa 23-787). Selective mAb binding was confirmed by flow cytometry and mAb internalization rate was assessed by immunofluorescence (IF). TORL-3-600 was generated from a fully humanized CDH17 mAb by MMAE conjugation with a cleavable linker. Cell membrane staining of CDH17 in patient tumor microarrays (TMAs), cell line (CDX) and patient derived xenografts (PDX) was evaluated by IHC assay. Selective binding of the TORL-3-600 to CDH17 was confirmed in human cancer cell lines and cells engineered to overexpress CDH17. Binding of TORL-3-600 to cell surface CDH17 induced Internalization and translocation to the lysosome of the protein-ADC complex for release of the MMAE payload. Treatment with TORL-3-600 induced significant regressions and tumor growth inhibition (TGI) in four CDH17-positive (CDH17+) human colorectal cancer (CRC) CDXs (103.6 - 140.4% TGI) and three CDH17+ CRC PDXs (63.3 - 102.2% TGI). Responses in these models were sustained for up to nine-weeks following cessation of treatment. Sustained inhibition of xenograft tumor progression was also observed in a cell line model of CDH17+ pancreatic cancer (85.8% TGI). In contrast, greatly reduced responses (37.3 - 58.2% TGI) to TORL-3-600 were observed in the CDH17- human colon cancer CDX and PDX models. Each of the doses tested in this study were well tolerated in mice with no dose-limiting toxicities observed. Analyses of large human patient TMAs by CDH17 IHC assay demonstrated detectable expression of CDH17 in 90.1% (173/193) of CRC, 51.8% (86/166) of gastric and 20.4% (69/331) of pancreatic cancers. These numbers suggest that an ADC directed against CDH17 could provide benefit to a significant number of patients diagnosed with these cancers. These data support the clinical development of TORL-3-600 for the treatment of CDH17+ cancers. TORL-3-600 has completed IND enabling toxicity studies with acceptable PK and toxicity profiles and is now in phase 1 clinical testing (NCT05948826). Citation Format: Neil A. O'Brien, Martina SJ McDermott, Jun Zhang, Ming Lu, Ke Wei Gong, Benjamin Hoffstrom, Wei Ping Jia, Tong Luo, Athena M. Madrid, Min Liang, John A. Glaspy, Dennis J. Slamon. TORL-3-600, a novel antibody drug conjugate directed against cadherin 17 (CDH17), has preclinical efficacy in colorectal, gastric, and pancreatic cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1900.

Abstract 7269: Karyopherin α-2, a nuclear export protein, promotes cancer progression in lung adenocarcinoma

Abstract Introduction: Karyopherin α-2 (KPNA2), a nucleocytoplasmic transport protein, regulates the nuclear import of macromolecules and contributes to carcinogenesis. Actually, KPNA2 is upregulated in various types of cancer tissues and serum from cancer patients. In particular, it is associated with cancer invasiveness and poor prognosis in patient. Here, we tried to present the molecular mechanism and clinical significance of KPNA2 in lung cancer progression and metastasis. Method: First, we retrospectively analyzed the data extracted from EMR for patients with non-small cell lung cancer receiving curative surgical resection in Uijeongbu and Bucheon St. Mary’s Hospitals (n=165). Immunohistochemistry staining was performed on the tumor microarray samples using antibodies against KPNA2. The functional assay and gene silencing was conducted. Result: The clinical and pathological information of the experimental group is as follows. Based on the TMA staining, mean KPNA2 score was 36.5 [0-240] and median value was 10. Based on the TMA staining, patients with high KPNA2 expression were related to lymphatic invasion (p = 0.00782), advanced stage (p = 0.0202), and current smoker (p = 0.0074). KPNA2 expression was higher in squamous cell carcinoma than in adenocarcinoma histotype. Patients with high KPNA2 expression showed shorter survival than those with low KPNA2 (median OS (months), 72.8 vs 42.2, P &amp;lt; 0.0001; median RFS (months), 72.8 vs 32.1, P &amp;lt; 0.0011) and relevant to high recurrence (recurrence rate (%), 24.7 vs 44.7, p = 0.007). Further, high KPNA2 expression was associated with poor survival outcomes. Knockdown of KPNA2 in lung cancer cells suppressed the invasion and migration of lung cancer cells and inhibited metastasis in a mouse model of lung cancer. Inversely, KPNA2 overexpression promoted cancer cell growth, invasion, and migration. Moreover, ectopic expression of KPNA2 made lung cancer cells less sensitive to anticancer drugs, Talazoparib and Olaparib, indicating that KPNA2 enhances drug resistance in lung cancer cells. Conclusion: Collectively, this study suggest that KPNA2 promotes invasiveness and metastasis and is associated with poor patient outcomes; therefore, KPNA2 will be a good therapeutic target or a biomarker in lung adenocarcinoma. Citation Format: Inyoung Cheon, Seoree Kim, Sengran Cho, Heejin Lee, Jung-Sook Yoon, Ji Hyun Lee, Sang Hoon Chun, Hye Sung Won, Soon Auck Hong, Yoon Ho Ko, Young-Ho Ahn. Karyopherin α-2, a nuclear export protein, promotes cancer progression in lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7269.

Abstract 1991: Leiomyosarcoma poly-aneuploid cancer cells form in response to chemotherapy, contribute to chemoresistance, and lead to higher rates of metastatic recurrence

Abstract Poly-aneuploid cancer cells (PACCs) or as also known as “giant cells”, are a treatment resistant stem cell-like cancer phenotype. PACCs have been identified in numerous cancer types, and their presence appears to play a significant role in chemoresistance and poor patient outcomes. PACCs employ a multitude of polyploidization programs to enter this transient state in response to stress. After removal of stress, PACCs give rise to non-PACC progeny through potential mechanisms of neosis or depolyploidization that maintain chemotherapeutic resistance. Leiomyosarcoma (LMS) is a difficult to treat sarcoma that grows in smooth muscle that often develops chemoresistance. Here we report the first description of PACCs in LMS cell culture, LMS xenografts, and LMS patient tumor microarrays. LMS cells treated (doxorubicin, docetaxel, and gemcitabine) in vitro and in vivo lead to the development of mononucleated and multinucleated polypoid cells as the predominant phenotype via polyploidization. Polyploidization mechanisms identified included endocycling, endomitosis, and cell-cell fusion. In vitro, LMS PACCs had a significant increase in size and DNA content as well as an increase in resistance to chemotherapy as compared to parents. LMS PACCs also repopulated the culture with non-PACC LMS progeny cells. The PACC progeny cells maintained a significantly decreased (p&amp;lt;0.0001) response to chemotherapy compared to parent cells. PACCs were also identified in clinical samples from patients with LMS. Twenty-nine percent of samples (N=289) contained abnormally large tumor cells and fifty-eight percent contained abnormal nuclei. A positive correlation was observed in patient tumor samples between PACCs in metastatic tumors and recurrence (p=0.0277) and survival (p=0.0009) than those patient tumors without PACCs. The high rate of functional loss of TP53 in LMS (&amp;gt;90%) may contribute to the ability of PACCs to form abnormal, multiple nuclei. We therefore transfected LMS PACCs to express TP53 and observed an increased apoptotic response. Additionally, combining functional TP53 expression with low doses of doxorubicin increases the apoptotic response of LMS cells, potentially by targeting PACCs. LMS PACCs may contribute to the lack of response in patients with LMS. Identifying therapeutic approaches that prevent or target LMS PACCs, including TP53 replacement, may improve response to chemotherapy and improve outcomes for patients. Citation Format: Ryan Kennington, Gareth Mitchell, Emily Payne, Niraja Bhachech, Jonathan A. Fletcher, Ting Liu, Matt van de Rijn, Sarah Amend, Kenneth J. Pienta, Joshua D. Schiffman, Lisa M. Abegglen. Leiomyosarcoma poly-aneuploid cancer cells form in response to chemotherapy, contribute to chemoresistance, and lead to higher rates of metastatic recurrence [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1991.

Abstract 736: ACTM-838 safely and comprehensively re-activates the immunosuppressive TME by exploiting myeloid biology intrinsic in many cancers

Abstract ACTM-838 is a genetically modified bacterial vehicle encoding a DNA plasmid with two engineered payloads, IL-15plex and constitutively active eSTING. The bacterial vehicle is a highly attenuated S. typhimurium, engineered to facilitate safe IV administration. ACTM-838 is designed to specifically enrich in the TME via auxotrophic dependency on extracellular adenosine and purine metabolites. ACTM-838 is then selectively internalized by tumor-resident myeloid cells achieving tumor-specific payload delivery. Previously, we showed ACTM-838 exhibited significant and durable anti-tumor efficacy across syngeneic tumor mouse models (EMT6 breast, MC38 colon) and MMTV-PyMT GEMM. To elucidate TME changes induced by ACTM-838, EMT6 tumors were analyzed post-treatment by scRNA-seq, which demonstrated that ACTM-838 induced significant transcriptional changes in several cell populations in the TME. Cytolytic pathways were upregulated in T and NK cells, while type I IFN and PDL1 were upregulated in myeloid populations consistent with previous bulk RNAseq analyses. To understand the tolerability and safety of ACTM-838, a GLP toxicology study was performed on naïve cynomolgus monkeys (NHP). No ACTM-838-related clinical or veterinary observations were reported at any dose level. Acute dose-dependent increases in serum cytokines were observed at 4 hours which reverted to baseline by 24 hours. ACTM-838 was cleared from blood by 24 hours post-dose with no significant shedding in urine or feces. ACTM-838 was only detected in the spleen in 2 and 1 animals at 22- and 49-days post treatment, respectively. Pre-existing ADA was observed in some animals with subsequent increases in ADA upon dosing in most animals. However, no correlation of serum ADA and blood PK levels suggested that the presence of ADA does not impact drug stability. The ACTM-838 mechanism of action requires high levels of adenosine or purine metabolites to enrich and colonize the TME as well as phagocytic internalization by tumor-intrinsic myeloid cells to achieve tumor-specific payload delivery. Myeloid cells comprise roughly half of all cells in the TME in human tumors. Bioinformatics analyses of the public patient datasets identified key tumor indications enriched in both adenosine and myeloid pathways. To further understand the spatial heterogeneity in the TME across tumors, we performed multiplex immunofluorescence on patient tumor microarrays to validate tumor types with a high prevalence of myeloid populations coupled with an active adenosine pathway, which will help guide future clinical study design. In summary, we demonstrate that ACTM-838 modulates the TME and is stable and safe in animal models. Additionally, our studies recommend the prioritization of certain tumor indications for treatment with ACTM-838 in the clinic. Citation Format: William Lu, Kyle Cron, Julie Janes, Leigh Berryman, Gurvinder Singh, Christopher Thanos, Akshata Udyavar. ACTM-838 safely and comprehensively re-activates the immunosuppressive TME by exploiting myeloid biology intrinsic in many cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 736.

Abstract A103: Improved cell phenotyping of ovarian cancer tumor microenvironment

Abstract Introduction: Multiplexed imaging at single-cell resolution is becoming widely used to decipher the role of the cellular microenvironment in cancer and other complex diseases. To identify spatial patterns of single cells on a tissue, accurate cell-type phenotyping is a crucial step. We present Tribus, an interactive, semi-supervised classifier that avoids thresholds and manual labeling, with user-friendly visualization of the results and automated quality control reports. Materials and Methods: We developed Tribus, an open-source Python 3 software utilizing self-organizing maps for data clustering with an integrated Napari plug-in for fast visualization. It assigns the cell phenotypes based on user-defined label description tables and median marker expressions, following a hierarchical structure to minimize overspill bias. It has a modular architecture and can be run via command line, Jupyter Notebook, or the Napari interface. For exploring the Tribus performance, we used 1) manually expert annotated datasets with different tissue origins 2) dataset with cluster-based annotation 3) previously unpublished dataset. To ensure usability, we utilized datasets generated by using different multiplexed imaging technologies, and of variable size including large tissue microarrays and whole-slide images. Results: Using Tribus we accurately annotated the cell phenotypes in an expert-labeled Co-detection by indexing (CODEX) dataset, consisting of 8 regions of tissue samples from a single donor, including both healthy colon and small bowel sections. Tribus analysis of a high-grade ovarian cancer (HGSC) tumor microarray dataset generated by tCyCIF revealed a subset of lymphoid cells previously mislabelled using a cluster annotation approach. Finally, we utilized Tribus for deep cell phenotyping on a large whole-slide image tCyCIF dataset consisting of over a million cells from five matched HGSC samples collected before and after neoadjuvant chemotherapy (NACT). In the paired samples we successfully identified cell subtypes crucial for immune surveillance. Our analysis accurately differentiated M1 and M2 macrophage subpopulations. In addition, the analyzed post-NACT samples showed a higher proportion of tumor-infiltrating CD8+ T-cells, interestingly displaying occasional spatial clusters by the tumor borders. Therefore, Tribus has shown a great potential to study the spatial patterns and cell-cell interactions of relevant immune cells in response to neoadjuvant chemotherapy treatment. Conclusion: Overall, Tribus is an accurate, fast and efficient way to analyze different sizes of datasets across different technologies, resulting in accelerated analysis of the spatial tumor microenvironment (TME). The accurate cell-type phenotyping with Tribus uncovered high-resolution cellular phenotypes and their spatial patterns in the TME in ovarian cancer after neoadjuvant chemotherapy. Citation Format: Ziqi Kang, Teodora Farago, Angela Szabo, Inga-Maria Launonen, Fernando Perez, Ella Anttila, Kevin Elias, Julia Casado, Peter Sorger, Anniina Färkkilä. Improved cell phenotyping of ovarian cancer tumor microenvironment [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr A103.