Lung cancer with multiorgan metastasis remains the leading cause of cancer death. Current CT imaging and biopsy are suboptimal for detecting early tumors or subclinical metastases. We address this gap using LUAD with LKB1/STK11 inactivation, which alters collagen via focal adhesion kinase activation. Collagen I overexpression in the tumor microenvironment and invasive edge was identified as a biomarker. We developed hProCA32.Collagen, a protein MRI contrast agent targeting collagen I, which exhibits 10-fold higher relaxivity than clinical GBCAs, with strong Gd3+ binding, high stability, and low toxicity risk. Precision MRI with hProCA32.Collagen enables early, noninvasive detection and quantification of lung tumors and metastases with improved contrast, outperforming CT and standard MRI. This is a demonstration of simultaneous MRI detection of primary tumors and metastases in the lung and adrenal glands, with collagen mapping. This approach offers a radiation-free tool for early diagnosis, staging, and monitoring in LUAD.
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
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or sequence constraints.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
