Primary Tumor Microenvironment Research Articles

Engineering Nano-Pills to Inhibit Ovarian Cancer Proliferation and Migration through a Combination of Chemical/Nucleic Acid Therapy.

Ovarian cancer (OC) is the most fatal of all gynecological malignancies, presenting a significant threat to women's health. Its treatment is complicated by severe dose-dependent chemotherapy toxicity, drug resistance, and tumor migration. Herein, an intelligent combination strategy of chemotherapy and nucleic acid therapy, named ApMEmiR&D is developed. This integrated system consists of three parts: the nano-pill, the protective membrane, and the navigation element. Nano-pills are nanospheres assembled from miRNA and doxorubicin (DOX) with the help of ferrous ions (Fe2+). The protective membrane is derived from tumor-associated macrophages (TAMs membrane) originating from the primary tumor microenvironment (TME). The navigation element is the cholesterol-conjugated AS1411 aptamer. The resulting ApMEmiR&D nanoparticles exhibit uniform size, a well-defined nanosphere structure, robust serum stability, and ultra-high drug loading efficiency and capacity. The system can efficiently accumulate in the tumor, allowing for the synergistic inhibition of tumor growth and metastasis without apparent systemic toxicity. The results demonstrate the homing effect of tumor microenvironment-derived macrophage cell membrane and the targeting effect of aptamer, leading to precise drug targeting and immune compatibility, thereby enhancing therapeutic efficacy. The success of this strategy paves the way for metastasis inhibition and targeted cancer therapy.

Abstract B045: Requirement of MenaINV for metastatic colonization of the lungs by breast cancer stem cells

Abstract Background: Breast cancer is the most frequently diagnosed cancer, and the second leading cause of cancer-related death in women. Most breast cancer related deaths are due to metastasis to distant organs. The primary tumor and secondary site microenvironments provide cues that activate cancer cell plasticity programs such as those associated with invasion and stemness, which are needed for dissemination and the establishment of metastatic foci. We demonstrated that in the primary tumor >50% of cancer stem cells (CSCs) co-express the invasive phenotype marker, MenaINV. Given that ∼80% of newly arriving circulating tumor cells to the lung are CSCs, we questioned if extravasation of CSCs to the lung is mediated solely by MenaINV or if other compensatory pathways are at play. We describe here our discovery that CSCs require MenaINV for extravasation to the lung parenchyma. Methods: To visualize breast cancer stem cell extravasation into the lung parenchyma, we expressed the stemness biosensor, SORE6, in MDA-MB-231 breast cancer cells. SORE6 is composed of 6 tandem repeats of the Sox2 and Oct4 response elements placed upstream of destabilized Green Fluorescent Protein (GFP). To distinguish CSCs (green) from non-CSCs, all cells were also labeled with red tracker dye. Breast cancer cells transduced with lenti-SORE6 were FACS sorted into low SORE6-GFP cells (non- CSCs) and high SORE6-GFP (CSCs). Activation of the stem program in FACS sorted cells was validated by qRT-PCR analysis of the widely used stem cell markers CD44, CD133, P63, ALDH1, Sox9, Sox2, and Oct4. The extravasation efficiency of non-CSCs vs. CSCs was assessed in vitro by the extravasation directed transendothelial migration (eTEM) assay, which mimics extravasation by allowing migration of cancer cells through endothelial cells cultured on a porous membrane, as well as in vivo, by intravital imaging. The impact of MenaINV on CSC extravasation was evaluated through CRISPR/Cas9 mediated knockout of MenaINV. In in vivo experiments, a 50/50 mixture of non-CSCs and CSCs expressing either wild type or knocked-out MenaINV were injected into the vasculature of Rag2-/- MacBlue mice. in vivo visualization of cancer cell extravasation was accomplished by implantation of an indwelling lung imaging window prior to the injection of cancer cells, followed by high-resolution intravital imaging. Results: CSCs exhibit significantly higher expression of all stem cell markers and express more MenaINV compared to non-CSCs. Moreover, CSCs show significantly better transendothelial migration in eTME assay (p=0.03) and lung extravasation (p<0.0001) in intravital imaging, compared to non-CSCs. Finally, knocking out MenaINV reduced lung extravasation to the levels comparable to non-CSCs. Conclusions: This study highlights the crucial role of MenaINV in facilitating lung metastasis by CSCs. Thus, targeting MenaINV may represent a promising therapeutic strategy to reduce metastatic burden in breast cancer patients. Citation Format: Mohd Nauman, Yookyung Jung, Burcu Karadal-Ferrena, Camille Duran, Madeline Friedman-DeLuca, Nicole Barth, Prachiben Patel, John Condeelis, David Entenberg, Maja H. Oktay. Requirement of MenaINV for metastatic colonization of the lungs by breast cancer stem cells [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 B045.

Abstract B031: Lean adipocyte-derived lipid decreases metastatic potential of breast cancer cells

Abstract Obesity rates are increasing globally, making it of critical importance to study obesity-linked diseases. Breast cancer is the most common cancer in women, and obesity is associated with both increased incidence and metastatic progression of breast cancer. Metastasis formation depends on a cancer cell leaving the primary site, migrating through the bloodstream, and establishing new growth in a distant site. Both metastasizing cell-intrinsic and metastatic site-dependent factors can help to regulate the effectiveness of this process; however, it is unknown whether obesity-linked metastasis depends on changes to the metastasizing cell and/or changes to the distant metastatic site. This study aims to characterize how the lean versus obese tumor microenvironment impacts breast cancer metastasis and identify adipocyte-derived molecules that modulate the metastatic potential of breast cancer cells. We and others have shown that obesity leads to increased metastasis formation in mouse models of orthotopic breast cancer. However, my preliminary data show that an obese metastatic site is not sufficient to increase metastasis formation in an intravenous injection model of metastasis, emphasizing the importance of the primary tumor microenvironment in programming breast cancer cells for metastasis. Cancer cell stemness helps to mediate metastasis formation and can be assessed in vitro with the mammosphere assay. Importantly, my data demonstrate that a secreted lipid from lean, but not obese, adipocytes potently inhibits the ability of breast cancer cells to form mammospheres. Furthermore, this inhibition induces a G1/S cell cycle arrest. Together, these data suggest that lean adipocytes in the breast cancer tumor microenvironment act in a paracrine manner to decrease the metastatic potential of breast cancer cells. My work demonstrates the role of adipocytes in the regulation of metastasis in breast cancer and provides important insight into the role of the tumor microenvironment in mediating metastasis in lean versus obese conditions. Citation Format: Abigail E. Jackson, Keren I Hilgendorf. Lean adipocyte-derived lipid decreases metastatic potential of breast cancer cells [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 B031.

Spatial immunogenomic patterns associated with lymph node metastasis in lung adenocarcinoma

BackgroundLung adenocarcinoma (LUAD) with lymph node (LN) metastasis is linked to poor prognosis, yet the underlying mechanisms remain largely undefined. This study aimed to elucidate the immunogenomic landscape associated with LN metastasis in LUAD.MethodsWe employed broad-panel next-generation sequencing (NGS) on a cohort of 257 surgically treated LUAD patients to delineate the molecular landscape of primary tumors and identify actionable driver-gene alterations. Additionally, we used multiplex immunohistochemistry (mIHC) on a propensity score-matched cohort, which enabled us to profile the immune microenvironment of primary tumors in detail while preserving cellular metaclusters, interactions, and neighborhood functional units. By integrating data from NGS and mIHC, we successfully identified spatial immunogenomic patterns and developed a predictive model for LN metastasis, which was subsequently validated independently.ResultsOur analysis revealed distinct immunogenomic alteration patterns associated with LN metastasis stages. Specifically, we observed increased mutation frequencies in genes such as PIK3CG and ATM in LN metastatic primary tumors. Moreover, LN positive primary tumors exhibited a higher presence of macrophage and regulatory T cell metaclusters, along with their enriched neighborhood units (p < 0.05), compared to LN negative tumors. Furthermore, we developed a novel predictive model for LN metastasis likelihood, designed to inform non-surgical treatment strategies, optimize personalized therapy plans, and potentially improve outcomes for patients who are ineligible for surgery.ConclusionsThis study offers a comprehensive analysis of the genetic and immune profiles in LUAD primary tumors with LN metastasis, identifying key immunogenomic patterns linked to metastatic progression. The predictive model derived from these insights marks a substantial advancement in personalized treatment, underscoring its potential to improve patient management.

Resting natural killer cells promote the progress of colon cancer liver metastasis by elevating tumor-derived stem cell factor.

The abundance and biological contribution of natural killer (NK) cells in cancer are controversial. Here, we aim to uncover clinical relevance and cellular roles of NK cells in colon cancer liver metastasis (CCLM). Here, we integrated single-cell RNA-sequencing, spatial transcriptomics (ST), and bulk RNA-sequencing datasets to investigate NK cells' biological properties and functions in the microenvironment of primary and liver metastatic tumors. Results were validated through an in vitro co-culture experiment based on bioinformatics analysis. Useing single-cell RNA-sequencing and ST, we mapped the immune cellular landscape of colon cancer and well-matched liver metastatic cancer. We discovered that GZMK+ resting NK cells increased significantly in tumor tissues and were enriched in the tumor regions of both diseases. After combining bulk RNA and clinical data, we observed that these NK cell subsets contributed to a worse prognosis. Meanwhile, KIR2DL4+ activated NK cells exhibited the opposite position and relevance. Pseudotime cell trajectory analysis revealed the evolution of activated to resting NK cells. In vitro experiments further confirmed that tumor-cell-co-cultured NK cells exhibited a decidual-like status, as evidenced by remarkable increasing CD9 expression. Functional experiments finally revealed that NK cells exhibited tumor-activating characteristics by promoting the dissociation of SCF (stem cell factor) on the tumor cells membrane depending on cell-to-cell interaction, as the supernatant of the co-culture system enhanced tumor progression. In summary, our findings revealed resting NK cells exhibited a clinical relevance with CCLM, which may be exploited for novel strategies to improve therapeutic outcomes for patients with CCLM.

Resting natural killer cells promote the progress of colon cancer liver metastasis by elevating tumor-derived stem cell factor

The abundance and biological contribution of natural killer (NK) cells in cancer are controversial. Here, we aim to uncover clinical relevance and cellular roles of NK cells in colon cancer liver metastasis (CCLM). Here, we integrated single-cell RNA-sequencing, spatial transcriptomics (ST), and bulk RNA-sequencing datasets to investigate NK cells’ biological properties and functions in the microenvironment of primary and liver metastatic tumors. Results were validated through an in vitro co-culture experiment based on bioinformatics analysis. Useing single-cell RNA-sequencing and ST, we mapped the immune cellular landscape of colon cancer and well-matched liver metastatic cancer. We discovered that GZMK+ resting NK cells increased significantly in tumor tissues and were enriched in the tumor regions of both diseases. After combining bulk RNA and clinical data, we observed that these NK cell subsets contributed to a worse prognosis. Meanwhile, KIR2DL4+ activated NK cells exhibited the opposite position and relevance. Pseudotime cell trajectory analysis revealed the evolution of activated to resting NK cells. In vitro experiments further confirmed that tumor-cell-co-cultured NK cells exhibited a decidual-like status, as evidenced by remarkable increasing CD9 expression. Functional experiments finally revealed that NK cells exhibited tumor-activating characteristics by promoting the dissociation of SCF (stem cell factor) on the tumor cells membrane depending on cell-to-cell interaction, as the supernatant of the co-culture system enhanced tumor progression. In summary, our findings revealed resting NK cells exhibited a clinical relevance with CCLM, which may be exploited for novel strategies to improve therapeutic outcomes for patients with CCLM.

Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment.

BCLM tissue characterization to optimize immunotherapy is difficult because biopsies or resections are rarely performed. This study shows that a machine learning approach offers the potential to infer BCLM characteristics from the primary tumor tissue.

Unlocking the tumor-immune microenvironment in osteosarcoma: insights into the immune landscape and mechanisms.

Osteosarcoma has a unique tumor microenvironment (TME), which is characterized as a complex microenvironment comprising of bone cells, immune cells, stromal cells, and heterogeneous vascular structures. These elements are intricately embedded in a mineralized extracellular matrix, setting it apart from other primary TMEs. In a state of normal physiological function, these cell types collaborate in a coordinated manner to maintain the homeostasis of the bone and hematopoietic systems. However, in the pathological condition, i.e., neoplastic malignancies, the tumor-immune microenvironment (TIME) has been shown to promote cancer cells proliferation, migration, apoptosis and drug resistance, as well as immune escape. The intricate and dynamic system of the TIME in osteosarcoma involves crucial roles played by various infiltrating cells, the complement system, and exosomes. This complexity is closely associated with tumor cells evading immune surveillance, experiencing uncontrolled proliferation, and facilitating metastasis. In this review, we elucidate the intricate interplay between diverse cell populations in the osteosarcoma TIME, each contributing uniquely to tumor progression. From chondroblastic and osteoblastic osteosarcoma cells to osteoclasts, stromal cells, and various myeloid and lymphoid cell subsets, the comprehensive single-cell analysis provides a detailed roadmap of the complex osteosarcoma ecosystem. Furthermore, we summarize the mutations, epigenetic mechanisms, and extracellular vesicles that dictate the immunologic landscape and modulate the TIME of osteosarcoma. The perspectives of the clinical implementation of immunotherapy and therapeutic approaches for targeting immune cells are also intensively discussed.

450MO Characterization of tumor-infiltrating lymphocytes and tumor-associated macrophages within the tumor microenvironment of primary tumors and matched brain metastases

450MO Characterization of tumor-infiltrating lymphocytes and tumor-associated macrophages within the tumor microenvironment of primary tumors and matched brain metastases

Obesity Induces Temporally Regulated Alterations in the Extracellular Matrix That Drive Breast Tumor Invasion and Metastasis.

Obesity is associated with increased incidence and metastasis of triple-negative breast cancer, an aggressive breast cancer subtype. The extracellular matrix (ECM) is a major component of the tumor microenvironment that drives metastasis. To characterize the temporal effects of age and high-fat diet (HFD)-driven weight gain on the ECM, we injected allograft tumor cells at 4-week intervals into mammary fat pads of mice fed a control or HFD, assessing tumor growth and metastasis and evaluating the ECM composition of the mammary fat pads, lungs, and livers. Tumor growth was increased in obese mice after 12 weeks on HFD. Liver metastasis increased in obese mice only at 4 weeks, and elevated body weight correlated with increased metastasis to the lungs but not the liver. Whole decellularized ECM coupled with proteomics indicated that early stages of obesity were sufficient to induce changes in the ECM composition. Obesity led to an increased abundance of the proinvasive ECM proteins collagen IV and collagen VI in the mammary glands and enhanced the invasive capacity of cancer cells. Cells of stromal vascular fraction and adipose stem and progenitor cells were primarily responsible for secreting collagen IV and collagen VI, not adipocytes. Longer exposure to HFD increased the invasive potential of ECM isolated from the lungs and liver, with significant changes in ECM composition found in the liver with short-term HFD exposure. Together, these data suggest that changes in the breast, lungs, and liver ECM underlie some of the effects of obesity on triple-negative breast cancer incidence and metastasis. Significance: Organ-specific extracellular matrix changes in the primary tumor and metastatic microenvironment are mechanisms by which obesity contributes to breast cancer progression.

Laminin I mediates resistance to lapatinib in HER2-positive brain metastatic breast cancer cells in vitro

The role of extracellular matrix (ECM) prevalent in the brain metastatic breast cancer (BMBC) niche in mediating cancer cell growth, survival, and response to therapeutic agents is not well understood. Emerging evidence suggests a vital role of ECM of the primary breast tumor microenvironment (TME) in tumor progression and survival. Possibly, the BMBC cells are also similarly influenced by the ECM of the metastatic niche; therefore, understanding the effect of the metastatic ECM on BMBC cells is imperative. Herein, we assessed the impact of various ECM components (i.e., Tenascin C, Laminin I, Collagen I, Collagen IV, and Fibronectin) on brain metastatic human epidermal growth factor receptor 2 (HER2)-positive and triple negative breast cancer (TNBC) cell lines in vitro. The highly aggressive TNBC cell line was minimally affected by ECM components exhibiting no remarkable changes in viability and morphology. On the contrary, amongst various ECM components tested, the HER2-positive cell line was significantly affected by Laminin I with higher viability and demonstrated a distinct spread morphology. In addition, HER2-positive BMBC cells exhibited resistance to Lapatinib in presence of Laminin I. Mechanistically, Laminin I-induced resistance to Lapatinib was mediated in part by phosphorylation of Erk 1/2 and elevated levels of Vimentin. Laminin I also significantly enhanced the migratory potential and replicative viability of HER2-positive BMBC cells. In sum, our findings show that presence of Laminin I in the TME of BMBC cells imparts resistance to targeted therapeutic agent Lapatinib, while increasing the possibility of its dispersal and clonogenic survival.

Abstract PO4-13-08: Mechanical conditioning (MeCo) score is higher in circulating tumor cells (CTCs) compared to primary tumors in early-stage breast cancer and even higher in metastases compared to CTCs in metastatic breast cancer

Abstract Background: The mechanical conditioning (MeCo) score is a gene expression signature that is acquired early by cancer cells in the primary breast tumor and is reflective of their responsiveness to matrix stiffness (fibrotic-like matrix rigidity). Further, chromatin remodeling in response to stiffness allows cancer cells to retain their aggressive features even in the absence of mechanical stimulation by the primary tumor microenvironment, for instance, during their dissemination through the circulation in metastasis. Importantly, patients who have high MeCo score tumors are at higher risk of developing metastatic breast cancer, compared to low MeCo scores (p&amp;lt; 0.0001; HR=2.2, 95%CI 1.7-2.7; Watson et al 2021, PMID: 34192535). Moreover, circulating tumor cells (CTCs) are associated with higher rate of metastatic dissemination, making CTC detection in the circulation of breast cancer patients a significant prognostic biomarker for breast cancer metastasis. Beyond their enumeration per blood volume units, specific prognostic features of CTCs are not fully explored. We sought to determine whether, compared to primary tumors, CTCs retain high MeCo scores and whether these scores are maintained during late-stage breast cancer in the metastatic sites. Methods: CTCs were isolated from peripheral blood of two patient cohorts: stage II-III breast cancer patients using immunomagnetic enrichment/FACS methodology (Lang et al 2018, PMID: 29868978) and of metastatic breast cancer patients using ANGLE Parsortix microfluidics system (Ring et al 2022, PMID: 35000083). Gene expression profiling using RNA-seq was performed in CTCs and in matching primary tumors (PT) and metastases (MET) for the early-stage and late-stage cohorts, respectively. A quantile normalization approach was used to allow comparison across cohorts. MeCo scores were computed for all samples as per Watson et al 2021. Wilcoxon matched-pairs signed rank test was performed for comparison of MeCo scores from matching samples within each cohort; Mann-Whitney unpaired test was used to compared MeCo scores of CTCs across cohorts. Results: In 12 pairs of early-stage breast cancer patient CTCs and PT, MeCo scores of CTCs were significantly higher than their matched PTs (p=0.026). Furthermore, in 26 pairs of metastatic patient’s CTCs and MET, MeCo scores of METs were significantly higher than matching CTCs (p=0.0004). MeCo scores of CTCs were similar between early- and late-stage breast cancer despite differing CTC isolation strategies (epitope-dependent and microfluidics size gradient). 98% of genes in the MeCo score were present in the evaluable CTC, MET and PT samples. Conclusions: Our results show that the MeCo score is higher in CTCs compared to PTs and in METs compared to CTCs in early- and late-stage breast cancer, respectively. Therefore, the MeCo score is progressively higher throughout the metastatic cascade in breast cancer. These findings demonstrate that mechanical conditioning is retained during metastatic progression, even as cancer cells transition through the circulation where the initial induction by matrix stiffness is lost. Further, these findings support that cancer cells with higher MeCo scores are more competent with–and potentially selected for by–metastatic progression. Importantly, these findings provide a novel feature of CTCs, mechanical conditioning (MeCo), which is associated with higher capacity for metastasis. Further, since the CTC MeCo score is elevated even in early-stage breast cancer, it could provide, in addition to CTC enumeration, a potential prognostic tool to predict metastatic risk in breast cancer patients. Citation Format: Gus Mouneimne, Adam Watson, Adam Grant, Daniel Campo, Alexander Ring, Pushpinder Bains, Julie Lang. Mechanical conditioning (MeCo) score is higher in circulating tumor cells (CTCs) compared to primary tumors in early-stage breast cancer and even higher in metastases compared to CTCs in metastatic breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-13-08.

A comprehensive single-cell breast tumor atlas defines epithelial and immune heterogeneity and interactions predicting anti-PD-1 therapy response

We present an integrated single-cell RNA sequencing atlas of the primary breast tumor microenvironment (TME) containing 236,363 cells from 119 biopsy samples across eight datasets. In this study, we leverage this resource for multiple analyses of immune and cancer epithelial cell heterogeneity. We define natural killer (NK) cell heterogeneity through six subsets in the breast TME. Because NK cell heterogeneity correlates with epithelial cell heterogeneity, we characterize epithelial cells at the level of single-gene expression, molecular subtype, and 10 categories reflecting intratumoral transcriptional heterogeneity. We develop InteractPrint, which considers how cancer epithelial cell heterogeneity influences cancer-immune interactions. We use Tcell InteractPrint to predict response to immune checkpoint inhibition (ICI) in two breast cancer clinical trials testing neoadjuvant anti-PD-1 therapy. Tcell InteractPrint was predictive of response in both trials versus PD-L1 (AUC= 0.82, 0.83 vs. 0.50, 0.72). This resource enables additional high-resolution investigations of the breast TME.

Abstract LB446: Decoding the mechanism of metastasis: A novel CAF-therapy that blocks the tumor microenvironment and reverses metastatic traits in all solid tumors

Abstract Progression and metastatic spreading of cancer cells are modulated by the carcinoma-associated fibroblasts (CAFs) within the primary tumor microenvironment in solid tumors. However, the mechanisms through which CAFs exert their pro-metastatic effects on cancer cells remain unknown. In this study, we have developed a small molecule that blocks Neuropilin-1 signaling in metastatic CAFs (mCAFs), reversing the mechanisms that promote metastasis in prostate, breast, colorectal and pancreatic cancer. To address these critical needs, in this study, we sought to assess the potential role of proteoglican neuropilin 1 (PG-NRP1) signaling in the maintenance of the activated CAF phenotype. Our results by gene expression profile, qPCR, WB, and ELISA indicate that CAFs isolated from primary tumors of metastatic patients (mCAFs) are functionally different from CAFs isolated from primary tumors of non-metastatic patients, promoting metastasis traits of cancer cells. Among the most prominent differences is an increased PG-NRP1 expression. siRNA studies demonstrated that the knockdown of NRP-1 in mCAFs showed the reversion of the activated phenotype, evaluated by the activation markers a-SMA, Tenascin C, and Fibronectin. Furthermore, conditioned media from PG-NRP1-siRNA-mCAFs failed to increase cancer cells' metastasis traits (migration and invasion) in vitro and tumor progression in vivo. Furthermore, we engineered a small molecule designed to bind PG-NRP1 in mCAFs. Our findings, demonstrate in vitro and in vivo models that the inhibition of PG-NRP1 impedes tumor growth and metastatic dissemination of cancer cells in spontaneous metastasis assay. We designed and validated, using in vivo models, an inhibitor that blocks NRP1-mCAF. Our research demonstrates that blocking PG-NRP1 in mCAF, with a small molecule, is a transversal therapeutic strategy to prevent progression and metastatic spread in solid cancer tumors. Citation Format: Benjamin Prieto, Muriel Núñez, Valentina I. Cerdfa, Javier Cerda-Infante. Decoding the mechanism of metastasis: A novel CAF-therapy that blocks the tumor microenvironment and reverses metastatic traits in all solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB446.

ScRNA-seq of gastric cancer tissues reveals differences in the immune microenvironment of primary tumors and metastases.

Gastric carcinoma (GC) is regarded as one of the deadliest cancer characterized by diversity and haste metastasis and suffers limited understanding of the spatial variation between primary and metastatic GC tumors. In this project, transcriptome analysis on 46 primary tumorous, adjacent non-tumorous, and metastatic GC tissues was performed. The results demonstrated that metastatic tumorous tissues had diminished CD8+ T cells compared to primary tumors, which is mechanistically attributed to being due to innate immunity differences represented by marked differences in macrophages between metastatic and primary tumors, particularly those expressing ApoE, where their abundance is linked to unfavorable prognoses. Examining variations in gene expression and interactions indicated possible strategies of immune evasion hindering the growth of CD8+ T cells in metastatic tumor tissues. More insights could be gained into the immune evasion mechanisms by portraying information about the GC ecosystem.

Abstract 1387: SETD2 loss promotes macrophage infiltration and metastasis in RCC

Abstract Across human cancer, tumors that are high grade, poorly differentiated, and have undergone epithelial-to-mesenchymal transition (EMT) carry a worse prognosis with a high likelihood of metastasizing to distant organs. Despite significant research efforts, metastatic cancers and relapse remain the primary cause of cancer related deaths. In renal cell carcinoma (RCC), metastasis is present in one-third of patients at the time of diagnosis, and one-third of patients who initially present with locally advanced disease eventually develop local or distant recurrence following resection of the primary tumor, highlighting the need for new RCC therapies and further insight into the metastatic process. Using RCC patient biopsies, we found that patients with more epithelial tumors have a significantly lower risk of recurrence. Additionally, tumors that had a mesenchymal protein signature had significantly increased macrophage infiltration, which was significantly associated with a higher stage at diagnosis and worse overall survival, suggesting that macrophages may play an important role in EMT and metastasis in ccRCC. Whole exome sequencing of these patient samples revealed that mutational loss of SETD2, a histone methyltransferase that is lost in about 20% of RCC patients, correlated strongly with increased macrophage infiltration within the primary tumor and was necessary for the correlation between macrophages and EMT. SETD2 loss in syngeneic kidney cancer mouse models confirmed that SETD2 loss within tumor cells resulted in increased EMT, macrophages within the primary tumor microenvironment (TME), and spontaneous metastasis, further supporting the role of macrophages in promoting metastasis in the absence of SETD2. Further characterization of the gene signatures and immune cell infiltrate in RCC will lead to a better understanding of metastasis in an oncogene- and tissue-specific manner and thus lead to more efficacious therapies for metastatic patients. Citation Format: Emily N. Arner, Melissa M. Wolf, Logan Vlach, Jeffrey C. Rathmell, W. Kimryn Rathmell. SETD2 loss promotes macrophage infiltration and metastasis in RCC [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 1387.

Abstract 4069: IL12-expressing genetically engineered myeloid cells remodel the stromal dense and T cell poor tumor microenvironment and premetastatic niche of F42010 murine osteosarcoma

Abstract Treatment options for patients with metastatic and recurrent osteosarcoma are poor. The development of immunotherapies for osteosarcoma has been hindered by the lack of immunocompetent preclinical models that recapitulate the stromal dense, myeloid-rich, T cell poor, and overall immunosuppressive microenvironment of human osteosarcoma. We hypothesized that the syngeneic murine osteosarcoma model F42010 may serve as a useful immunocompetent preclinical model of osteosarcoma suitable for developing novel immunotherapies for osteosarcoma. To test this, we used flow cytommetry, bulk RNA sequencing, and immunohistochemistry to characterize the stromal and immune compartments of this model. We found that the F42010 osteosarcoma model recapitulates the ECM-rich and immunosuppressive nature of human osteosarcoma primary tumor and pre-metastatic microenvironments, characterized by increased myeloid infiltrate expressing suppressive markers and lymphocyte exhaustion. Finally, we used this model to test the utility of a myeloid immunotherapy for osteosarcoma, IL-12 secreting genetically engineered myeloid cells (IL12-GEMys) that can reverse immune suppression in the pre-metastatic niche and tumor microenvironment. IL12-GEMy treatment augmented immune activation and significantly extended survival by delaying tumor growth. Our findings highlight that the F42010 osteosarcoma model effectively replicates key features of the osteosarcoma tumor microenvironment and is a valuable model for developing novel tumor microenvironment and pre-metastatic niche modulating immunotherapies for osteosarcoma. Citation Format: Kailey Jackett, Alice Browne, Sabina Kaczanowska, Miranda Clements, Rosandra Kaplan, Kristin Wessel, Brendan Ball, James Cronk. IL12-expressing genetically engineered myeloid cells remodel the stromal dense and T cell poor tumor microenvironment and premetastatic niche of F42010 murine osteosarcoma [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 4069.

Abstract 4167: Selective imaging of cancer-associated fibroblasts in the breast cancer microenvironment with near-infrared fluorescent probes

Abstract Tumors consist of a complex mixture of resident and infiltrating cells that can support their survival and evasion of treatment. Selective detection of genetically stable cells in the tumor microenvironment (TME) offers insight into tumor biology beyond the malignant cells, which are the focus of most molecular imaging approaches to cancer detection. Motivated by the goal of non-invasively understanding the primary breast TME, we have developed fluorescent molecular probes that target cancer-associated fibroblasts (CAFs), a major component of the stromal compartment of many tumors, and emit light in the near-infrared (NIR) spectral window, providing access to deeper tissues than visible probes. We synthesized and characterized a series of CAF-targeted antibody- and small molecule-based fluorescent imaging agents utilizing a highly hydrophilic NIR dye and ligands that target Fibroblast Activation Protein (FAP). FAP is a key cell-surface marker of breast cancer CAFs with an S1 phenotype, which are modulators of immunosuppression, metastatic spread, and are associated with worse outcomes, especially in HER2+ and triple-negative breast cancer. Modifications to the chemical structure of the linker and targeting ligands allowed us to alter the specificity and brightness of the CAF-probes in cellulo. Imaging of a co-implanted tumor model of SKBR3 human breast cancer cells and FAP expressing fibroblasts after administering our lead small-molecule CAF imaging agent revealed selective tumor targeting of CAF-rich tumors compared to cancer cell predominant tumors with favorable pharmacokinetics and tumor-to-background ratio (TBR) greater than 2. Similar imaging studies with MMTV-PyMT transgenic mice, an established murine model of breast cancer, showed analogous enhanced uptake in mammary tumors (TBR &amp;gt; 2) and clearance over 24 hours. NIR fluorescence also correlated with CAFs isolated from PyMT tumor tissue via flow cytometry, consistent with our hypothesis that this agent can specifically detect endogenous CAFs. This study identified a novel, bright, and water-soluble FAP-specific NIR agent for in vivo imaging, setting the stage for simultaneous optical imaging of malignant cells and activated fibroblasts in the TME to elucidate cancer-host interactions. Citation Format: Megan S. Michie, Junwei Du, Jiayu (Jennifer) Ye, Kathleen Duncan, Mikhail Y. Berezin, Samuel Achilefu. Selective imaging of cancer-associated fibroblasts in the breast cancer microenvironment with near-infrared fluorescent probes [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 4167.

Linking cell mechanical memory and cancer metastasis.

Metastasis causes most cancer-related deaths; however, the efficacy of anti-metastatic drugs is limited by incomplete understanding of the biological mechanisms that drive metastasis. Focusing on the mechanics of metastasis, we propose that the ability of tumour cells to survive the metastatic process is enhanced by mechanical stresses in the primary tumour microenvironment that select for well-adapted cells. In this Perspective, we suggest that biophysical adaptations favourable for metastasis are retained via mechanical memory, such that the extent of memory is influenced by both the magnitude and duration of the mechanical stress. Among the mechanical cues present in the primary tumour microenvironment, we focus on high matrix stiffness to illustrate how it alters tumour cell proliferation, survival, secretion of molecular factors, force generation, deformability, migration and invasion. We particularly centre our discussion on potential mechanisms of mechanical memory formation and retention via mechanotransduction and persistent epigenetic changes. Indeed, we propose that the biophysical adaptations that are induced by this process are retained throughout the metastatic process to improve tumour cell extravasation, survival and colonization in the distant organ. Deciphering mechanical memory mechanisms will be key to discovering a new class of anti-metastatic drugs.

Myeloid Cells Pave the Metastatic Road in Breast Cancer.

Current immunotherapeutic approaches are tailored towards biomarkers and mechanisms presented in the primary tumor microenvironment, yet few are designed against targets that arise in the metastatic site. In a recent Cancer Discovery article, Yofe and colleagues spatially and temporally mapped the evolving breast tumor metastatic environment within the lung at single-cell resolution to identify immunologic cell types and mechanisms underlying the formation of metastatic nodules. The authors identified myeloid cell, monocyte, and neutrophil phenotypes as the most significant differences between the primary tumor and metastatic site. The authors also revealed the existence of a metastasis-specific population of macrophages expressing Trem2 in both human and murine models that exhibit immunosuppressive features. Interestingly, Trem2+ macrophages are enriched at the invasive border of metastatic nodules compared with the metastatic core, suggesting they play an exclusionary role within the site. Characterization of the premetastatic lung in conjunction with pseudotime lineage analysis revealed that Fn1+ monocytes precede metastasis formation and are the likely source of Trem2+ macrophages in developed nodules. This study supports the characterization of metastatic immune microenvironments to identify novel immunotherapeutic targets that may not exist within the primary site but play a significant role in patient outcome.