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While spatial biology studies of healthy and malignant tissues have revealed spatial features correlating with clinical outcomes, the mechanisms by which individual cell interactions propagate to shape cancer evolution remain difficult to resolve in native tissues. Here, we use single-cell bioprinting to engineer tumor microenvironment interactions through spatially defined cell microarrays in which individual cells can be positioned with micrometer-scale precision and high reproducibility, enabling systematic control of cell composition, spacing, density, and spatial arrangement. As a proof of concept, we combined breast cancer cells with patient-derived myoepithelial cells to construct reductionist microenvironments and independently test how local cancer cell density and spatial organization influence tumor-relevant behavior. We show that increasing local cancer cell density suppresses myoepithelial migration while promoting greater cancer cell territorial expansion, consistent with a shift toward a more permissive microenvironment for cancer cell exploration. When cell number and relative ratio are held constant, spatial arrangement alone further alters cancer behavior by determining whether cancer cells remain locally confined within repeated short-range interactions or exhibit directional displacement toward neighboring myoepithelial populations. Together, this work establishes single-cell bioprinting of spatially defined cell microarrays as a platform for moving from correlative spatial observations to controlled and programmable determination of how individual cell interactions propagate through local cellular neighborhoods to shape cancer progression.<\/jats:p>","DOI":"10.1088\/1758-5090\/ae7bc6","type":"journal-article","created":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T10:49:45Z","timestamp":1783421385000},"page":"035024","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Engineering programmable tumor microenvironment interactions through single-cell bioprinting of spatially defined cell microarrays"],"prefix":"10.1088","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5410-4954","authenticated-orcid":true,"given":"Haylie R","family":"Helms","sequence":"first","affiliation":[{"name":"Oregon Health and Science University"},{"name":"Oregon Health and Science University"},{"name":"Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, Oregon Health and Science University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2732-8164","authenticated-orcid":true,"given":"Luiz E","family":"Bertassoni","sequence":"additional","affiliation":[{"name":"Oregon Health and Science University"},{"name":"Oregon Health and Science University"},{"name":"Cancer Early Detection Advanced Research Center (CEDAR), Knight Cancer Institute, Oregon Health and Science University"},{"name":"Oregon Health and Science University"},{"name":"Oregon Health and Science University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2026,7,7]]},"reference":[{"key":"bfae7bc6bib1","doi-asserted-by":"publisher","first-page":"1653","DOI":"10.1016\/j.ccell.2024.09.001","type":"journal-article","article-title":"Spatial oncology: translating contextual biology to the clinic","volume":"42","author":"Gong","year":"2024","journal-title":"Cancer Cell"},{"key":"bfae7bc6bib2","doi-asserted-by":"publisher","first-page":"1960","DOI":"10.1126\/science.1129139","type":"journal-article","article-title":"Type, density, and location of immune cells within human colorectal tumors predict clinical outcome","volume":"313","author":"Galon","year":"2006","journal-title":"Science"},{"key":"bfae7bc6bib3","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1038\/s41590-024-01792-2","type":"journal-article","article-title":"Human lung cancer harbors spatially organized stem-immunity hubs associated with response to immunotherapy","volume":"25","author":"Chen","year":"2024","journal-title":"Nat. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2026-03-19","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-06-10","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2026-07-07","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}