Triple-negative breast cancer (TNBC) is an aggressive and molecularly heterogeneous breast cancer subtype. We developed a six-gene oxidative stress-related signature (BAG5, ANXA2, LONP1, GBE1, CBR1, and DDIT4) in GSE58812 (107 patients; 29 deaths) and evaluated its transportability in GSE21653 (83 TNBC patients; 25 disease-free-survival events). Apparent discovery performance was high (C-index 0.823; 1-, 3-, and 5-year AUCs 0.962, 0.838, and 0.871), but repeated 5-fold out-of-fold evaluation across 50 repeats yielded a lower mean C-index of 0.764, indicating optimism in the apparent estimates. In GSE21653, the fully frozen continuous score showed modest discrimination for disease-free survival (C-index 0.626). The discovery-derived cutoff classified all 83 external patients as low risk; therefore, the categorical classifier was not externally validated and should not be used clinically. Bulk-transcriptome analyses associated higher discovery-cohort risk with hypoxia-related and ferroptosis-protection gene-expression programs and with lower interferon-gamma, cytotoxic T/NK, and antigen-presentation signatures. CD276 and VTCN1 transcript levels were also higher in the high-risk group. These immune and redox findings are transcriptomic associations rather than direct measurements of immune-cell abundance, ferroptosis sensitivity, or checkpoint-protein expression. The signature and its biological associations are therefore hypothesis-generating and require validation in larger endpoint-matched cohorts and functional studies.
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 seque...
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.