Oncogenic KRAS and NRAS mutations are common in hematologic malignancies, but their signaling in this context remains less well characterized than in carcinomas. Using multi-omics screens in multiple myeloma, we sought to identify regulators of RAS activity. We found that the phosphatase PP1C dephosphorylated conserved RAS residue T148, permitting LZTR1-dependent proteasomal degradation. LZTR1 was ineffective against KRAS A146 gain-of-function mutations, which lie adjacent to T148 and are enriched in hematologic cancers, such as diffuse large B cell lymphoma and acute myeloid leukemia. Remarkably, KRAS protein stability was four-fold lower in hematologic versus carcinoma cells, revealing a unique therapeutic opportunity targeting RAS protein stability. PAK1 and PAK2 shielded RAS from LZTR1-dependent degradation by phosphorylating T148, and inhibiting PAK1/2 activity improved RAS-directed therapy. Collectively, these findings reveal a regulatory circuit governing RAS stability that is preferentially active in blood cancers and potentially druggable.
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.
