Abstract Pleomorphic adenoma is the most common benign salivary gland tumor and most frequently arises in the parotid gland. Although benign, it can recur and may undergo malignant transformation, underscoring the need for experimental models that preserve native tissue features over time. In this study, fresh tumor tissue from six patients with primary histologically benign pleomorphic adenoma was divided into fragments of approximately 3 × 3 mm in surface dimensions and approximately 3 mm in thickness and maintained in a patient-derived three-dimensional organotypic co-culture for up to 21 days. The primary longitudinal analysis compared baseline tissue with matched fragments harvested at days 14 and 21. Histology and immunohistochemistry were assessed in three randomly selected high-power fields within morphologically viable, tumor-containing regions; necrotic or degenerative areas were excluded. Ki-67-positive cell nuclei remained within the predefined low category at all retained time points. PLAG1 positivity was retained in all cases but was more variable by day 21, while epithelial and myoepithelial-associated markers showed marker- and case-dependent patterns. CD45-positive cells remained detectable in sampled viable compartments, whereas SSTR2 was commonly reduced after baseline. These findings support the use of the 3D-OTC platform for longitudinal histomorphologic and selected biomarker assessment within surviving viable tissue compartments. Because whole-fragment necrosis and diffusion of oxygen, nutrients, or test compounds were not quantified, the present data do not establish uniform full-thickness viability or validate the platform for therapeutic-response testing.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.