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1. CD8+ T cells inhibit metastasis and CXCL4 regulates its function

   https://doi.org/10.1038/s41416-021-01338-5  

   Joseph, Robiya ; Soundararajan, Rama ; Vasaikar, Suhas ; Yang, Fei ; Allton, Kendra L. ; Tian, Lin ; den Hollander, Petra ; Isgandarova, Sevinj ; Haemmerle, Monika ; Mino, Barbara ; et al ( July 2021 , British Journal of Cancer)

   null (Ed.)

   Abstract Background The mechanism by which immune cells regulate metastasis is unclear. Understanding the role of immune cells in metastasis will guide the development of treatments improving patient survival. Methods We used syngeneic orthotopic mouse tumour models (wild-type, NOD/scid and Nude), employed knockout ( CD8 and CD4 ) models and administered CXCL4. Tumours and lungs were analysed for cancer cells by bioluminescence, and circulating tumour cells were isolated from blood. Immunohistochemistry on the mouse tumours was performed to confirm cell type, and on a tissue microarray with 180 TNBCs for human relevance. TCGA data from over 10,000 patients were analysed as well. Results We reveal that intratumoral immune infiltration differs between metastatic and non-metastatic tumours. The non-metastatic tumours harbour high levels of CD8 + T cells and low levels of platelets, which is reverse in metastatic tumours. During tumour progression, platelets and CXCL4 induce differentiation of monocytes into myeloid-derived suppressor cells (MDSCs), which inhibit CD8 + T-cell function. TCGA pan-cancer data confirmed that CD8 low Platelet high patients have a significantly lower survival probability compared to CD8 high Platelet low . Conclusions CD8 + T cells inhibit metastasis. When the balance between CD8 + T cells and platelets is disrupted, platelets produce CXCL4, which induces MDSCs thereby inhibiting the CD8 + T-cell function. 

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2. Cooperative phagocytosis of solid tumours by macrophages triggers durable anti-tumour responses

   https://doi.org/10.1038/s41551-023-01031-3  

   Dooling, Lawrence J. ; Andrechak, Jason C. ; Hayes, Brandon H. ; Kadu, Siddhant ; Zhang, William ; Pan, Ruby ; Vashisth, Manasvita ; Irianto, Jerome ; Alvey, Cory M. ; Ma, Leyuan ; et al ( April 2023 , Nature Biomedical Engineering)

   In solid tumours, the abundance of macrophages is typically associated with a poor prognosis. However, macrophage clusters in tumour-cell nests have been associated with survival in some tumour types. Here, by using tumour organoids comprising macrophages and cancer cells opsonized via a monoclonal antibody, we show that highly ordered clusters of macrophages cooperatively phagocytose cancer cells to suppress tumour growth. In mice with poorly immunogenic tumours, the systemic delivery of macrophages with signal-regulatory protein alpha (SIRPα) genetically knocked out or else with blockade of the CD47–SIRPα macrophage checkpoint was combined with the monoclonal antibody and subsequently triggered the production of endogenous tumour-opsonizing immunoglobulin G, substantially increased the survival of the animals and helped confer durable protection from tumour re-challenge and metastasis. Maximizing phagocytic potency by increasing macrophage numbers, by tumour-cell opsonization and by disrupting the phagocytic checkpoint CD47– 

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3. A mathematical model for phenotypic heterogeneity in breast cancer with implications for therapeutic strategies

   https://doi.org/10.1098/rsif.2021.0803  

   Li, Xin ; Thirumalai, D. ( January 2022 , Journal of The Royal Society Interface)

   Inevitably, almost all cancer patients develop resistance to targeted therapy. Intratumour heterogeneity is a major cause of drug resistance. Mathematical models that explain experiments quantitatively are useful in understanding the origin of intratumour heterogeneity, which then could be used to explore scenarios for efficacious therapy. Here, we develop a mathematical model to investigate intratumour heterogeneity in breast cancer by exploiting the observation that HER2+ and HER2− cells could divide symmetrically or asymmetrically. Our predictions for the evolution of cell fractions are in quantitative agreement with single-cell experiments. Remarkably, the colony size of HER2+ cells emerging from a single HER2− cell (or vice versa), which occurs in about four cell doublings, also agrees with experimental results, without tweaking any parameter in the model. The theory explains experimental data on the responses of breast tumours under different treatment protocols. We then used the model to predict that, not only the order of two drugs, but also the treatment period for each drug and the tumour cell plasticity could be manipulated to improve the treatment efficacy. Mathematical models, when integrated with data on patients, make possible exploration of a broad range of parameters readily, which might provide insights in devising effective therapies. 

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4. Growth of tumor emboli within a vessel model reveals dependence on the magnitude of mechanical constraint

   https://doi.org/10.1093/intbio/zyaa024  

   Kulwatno, Jonathan ; Gearhart, Jamie ; Gong, Xiangyu ; Herzog, Nora ; Getzin, Matthew ; Skobe, Mihaela ; Mills, Kristen L ( January 2021 , Integrative Biology)

   null (Ed.)

   ABSTRACT Tumor emboli—aggregates of tumor cells within vessels—pose a clinical challenge as they are associated with increased metastasis and tumor recurrence. When growing within a vessel, tumor emboli are subject to a unique mechanical constraint provided by the tubular geometry of the vessel. Current models of tumor emboli use unconstrained multicellular tumor spheroids, which neglect this mechanical interplay. Here, we modeled a lymphatic vessel as a 200 μm-diameter channel in either a stiff or soft, bioinert agarose matrix to create a vessel-like constraint model (VLCM), and we modeled colon or breast cancer tumor emboli with aggregates of HCT116 or SUM149PT cells, respectively. The stiff matrix VLCM constrained the tumor emboli to the cylindrical channel, which led to continuous growth of the emboli, in contrast to the growth rate reduction that unconstrained spheroids exhibit. Emboli morphology in the soft matrix VLCM, however, was dependent on the magnitude of mechanical mismatch between the matrix and the cell aggregates. In general, when the elastic modulus of the matrix of the VLCM was greater than the emboli (EVLCM/Eemb > 1), the emboli were constrained to grow within the channel, and when the elastic modulus of the matrix was less than the emboli (0 < EVLCM/Eemb < 1), the emboli bulged into the matrix. Due to a large difference in myosin II expression between the cell lines, we hypothesized that tumor cell aggregate stiffness is an indicator of cellular force-generating capability. Inhibitors of myosin-related force generation decreased the elastic modulus and/or increased the stress relaxation of the tumor cell aggregates, effectively increasing the mechanical mismatch. The increased mechanical mismatch after drug treatment was correlated with increased confinement of tumor emboli growth along the channel, which may translate to increased tumor burden due to the increased tumor volume within the diffusion distance of nutrients and oxygen. 

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5. Matrix stiffness and cluster size collectively regulate dormancy versus proliferation in brain metastatic breast cancer cell clusters

   https://doi.org/10.1039/d0bm00969e  

   Kondapaneni, Raghu Vamsi ; Rao, Shreyas S. ( November 2020 , Biomaterials Science)

   null (Ed.)

   Breast cancer cells can metastasize either as single cells or as clusters to distant organs from the primary tumor site. Cell clusters have been shown to possess higher metastatic potential compared to single cells. The organ microenvironment is critical in regulating the ultimate phenotype, specifically, the dormant versus proliferative phenotypes, of these clusters. In the context of breast cancer brain metastasis (BCBM), tumor cell cluster–organ microenvironment interactions are not well understood, in part, due to the lack of suitable biomimetic in vitro models. To address this need, herein, we report a biomaterial-based model, utilizing hyaluronic acid (HA) hydrogels with varying stiffnesses to mimic the brain microenvironment. Cell spheroids were used to mimic cell clusters. Using 100–10 000 MDA-MB-231Br BCBM cells, six different sizes of cell spheroids were prepared to study the impact of cluster size on dormancy. On soft HA hydrogels (∼0.4 kPa), irrespective of spheroid size, all cell spheroids attained a dormant phenotype, whereas on stiff HA hydrogels (∼4.5 kPa), size dependent switch between the dormant and proliferative phenotypes was noted ( i.e. , proliferative phenotype ≥5000 cell clusters < dormant phenotype), as tested via EdU and Ki67 staining. Furthermore, we demonstrated that the matrix stiffness driven dormancy was reversible. Such biomaterial systems provide useful tools to probe cell cluster–matrix interactions in BCBM. 

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