Multiple myeloma (MM) is a genetically heterogeneous plasma cell malignancy characterized by recurrent chromosomal abnormalities and progressive genomic instability. Among these, the t(4;14)(p16;q32) defines a high-risk molecular subtype associated with poor clinical outcomes despite advances in therapy. This translocation leads to dysregulated expression of fibroblast growth factor receptor 3 (FGFR3) and nuclear receptor-binding SET domain protein 2 (NSD2), promoting oncogenic signaling, enhanced proliferation, and aggressive disease behavior. In parallel, members of the apolipoprotein B mRNA-editing catalytic polypeptide-like (APOBEC) family of cytidine deaminases are recognized as major contributes to mutagenesis and genomic evolution across multiple cancers, including MM, where APOBEC-associated mutational processes are particularly enriched in high-risk molecular subtypes such as t(4;14). However, the precise role of APOBEC in t(4;14) MM remains incompletely understood. This thesis shows that inhibition of FGFR3 and NSD2 signaling reduced APOBEC3A (A3A) and APOBEC3B (A3B) expression and suppressed major survival pathways, including PI3K-AKT, MAPK-ERK, NF-κB, and STAT3 signaling, suggesting that A3A and A3B operate downstream of core t(4;14)-associated oncogenic networks. Analysis of two independent patient cohorts demonstrated that elevated A3B expression was consistently associated with inferior overall survival and progression-free survival in patients with t(4;14) MM. In contrast, APOBEC mutational signatures, including APOBEC-associated YTCA and RTCA signatures, were not significantly associated with patient outcome, suggesting that the prognostic impact of A3B may not be fully explained by APOBEC-mediated mutagenesis. Transcriptomic analyses revealed that high A3B expression strongly correlated with activation of cell-cycle pathways. Functional in vitro investigations using A3B knockdown and overexpression models support a role for A3B in proliferation and cell-cycle progression in t(4;14) MM cell lines. Loss of A3B reduced cell growth, impaired S-phase progression, and downregulated key regulators of G1/S transition, whereas A3B overexpression enhanced proliferative capacity. Mechanistically, A3B knockdown resulted in increased accumulation of R-loops. Elevated R-loop burden following A3B suppression was accompanied by reduced c-Myc protein stability and diminished expression of downstream c-Myc target genes involved in cell-cycle progression. These findings support a previously underappreciated mutation-independent role for A3B in contributing to R-loop homeostasis and altered c-Myc-associated signaling in cancer cells.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on experienced agile teams and organizations, connecting better to existing streams of research in more established fields, giving more attention to management-oriented approaches, and finally give more emphasis to the core ideas in agile software development in order to increase our understanding. We hope that this preliminary roadmap serves as a starting point for creating a common research agenda and enables the generation of fruitful discussions and research results from the field.
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
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 goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoption of Agile methods in general, and Scrum in particular. Little, if anything, is empirically known about the application and adoption of Scrum in a multi-team and multi-project situation. The authors carried out an ethnographically informed longitudinal case study in industrial settings and closely followed how the Scrum method was adopted in a 20-person department, working in a simultaneous multi-project R&D environment. Altogether 10 challenges pertinent to the case of multi-team multi-project Scrum adoption were identified in the study. The authors contend that these results carry great relevance for other industrial teams. Future research avenues arising from the study are indicated.
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduSep 14, 2026
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
MIT News · Artificial Intelligence· news.mit.eduSep 11, 2026
The handheld catheterization device AI-GUIDE, created by Lincoln Laboratory and Massachusetts General Hospital, promises improved health outcomes for injured service members and civilians.
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