Head and neck squamous cell carcinoma (HNSCC) develops within a metabolically remodeled tumor microenvironment, yet how metabolic programs evolve across specific cell populations during tumor progression remains poorly understood. We integrated single-cell RNA-sequencing data from five HNSCC cohorts comprising 645,351 cells from 114 patients and inferred metabolic flux using single-cell Flux Estimation Analysis (scFEA). Myeloid cells showed the highest and most consistent metabolic allocation to lactate export among major cell types. In ten patients with paired normal mucosa and carcinoma, myeloid lactate-export allocation increased from 1.72% to 3.31% of total inferred metabolic flux, with an increase in every patient. SPP1+ macrophages showed the highest lactate-export allocation in carcinoma. Lactate export was predominantly associated with MCT4/SLC16A3. In carcinoma, myeloid SLC16A3 expression exceeded SLC16A1 by 17-fold, and CPTAC-HNSCC confirmed tumor enrichment of MCT4 protein. Together, these findings identify increased MCT4-associated lactate export as a prominent feature of myeloid metabolic reprogramming during HNSCC progression.
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.