Publications
Read below the 20 most recent publications from iCAN.
- by Jenni SäiläProstate cancer (PCa) lacks reliable and accurate tissue-based biomarkers to support prognostic stratification and clinical treatment decisions. Current diagnostic assessment, including Gleason grading, has limitations such as interobserver variability and insufficient granularity for disease aggressiveness. Fibroblast activation protein (FAP) and α-smooth muscle actin (αSMA) have emerged as putative stromal biomarkers, but their prognostic value in […]
- by Abderrahim-Oussama BatoucheCONCLUSION: Men diagnosed with GG2 PCa based on MRI-targeted biopsy had a similar risk of recurrence after treatment compared to men with GG1 disease diagnosed using systematic biopsy, although they were more likely to undergo curative treatment. These findings suggest that at least a portion of the apparent increase in GG2 diagnoses in the MRI […]
- by Geoffray MonteuuisMitochondrial dysfunction underlies a wide range of human diseases, including primary mitochondrial disorders, neurodegeneration, cancer, and ageing. To preserve cellular homeostasis, organisms have evolved adaptive mechanisms that coordinate nuclear and mitochondrial gene expression. Here, we use genome-wide CRISPR knockout screening to identify cell fitness pathways that support survival under impaired mitochondrial protein synthesis. The strongest […]
- by Damla Ovek BaydarJASPAR (https://jaspar.elixir.no/) is an open-access database that has provided high-quality, manually curated, and non-redundant DNA binding profiles for transcription factors (TFs) as position frequency matrices (PFMs) for over 20 years. We expanded the CORE (306 new profiles, 12% increase) and UNVALIDATED (433, 60% increase) collections with new PFMs and updated 13 existing profiles. We updated […]
- by Rafael Romero-BecerraDrug combination therapy is often required to overcome the limited benefits of monotherapy in cancer treatment. While several tools exist for in vitro drug synergy screening and assessment, there is a lack of integrated methods for statistical analysis of in vivo combination experiments. To fill this gap, we present SynergyLMM, a comprehensive modeling and design […]
- by Salvatore RussoCONCLUSION: This multifaceted strategy, based on OV-mediated immune stimulation and reduction of MDSC levels via sEVs, may improve clinical outcomes and the success of immuno-based regimens for patients facing MDSC-rich and highly aggressive cancer subtypes.
- by Conor J O'HanlonAccurately labeling outcomes in real-world data for machine learning is challenging due to data sparsity and imbalances. This study developed and evaluated a pharmacokinetic-pharmacodynamic (PKPD)-informed labeling strategy to enhance the risk prediction of docetaxel-induced neutropenia. Machine learning models were trained on real-world data from 4,248 patients using two approaches for comparison. The "naive" labeling method […]
- by Jie BaoOvarian high-grade serous cancer (HGSC) is the most aggressive ovarian cancer subtype with limited treatment options. We identify the PDPK1 inhibitor BX-912 as a promising candidate, showing strong single-agent activity and synergy with the PARP inhibitor olaparib, independent of BRCA status. Unexpectedly, BX-912 induces multinucleation, a phenotype not seen with other PDPK1 inhibitors. Proteome Integral […]
- by Vadim Le JoncourGlioblastomas (GB) are the most common and deadly primary malignant brain tumors due to their infiltrative growth and resistance to conventional therapies. GB cell plasticity and differentiation into drug-resistant mesenchymal-like (MES) states protect tumors from conventional treatments. This study introduces a novel precision medicine approach employing heparin-based nanoparticles (HP-NPs) engineered to cross the blood-brain barrier […]
- by Aleksandr IanevskiReliable and reproducible drug screening experiments are essential for drug discovery and personalized medicine. We demonstrate how systematic experimental errors in drug plates negatively impact data reproducibility, and that conventional quality control (QC) methods based on plate controls fail to detect these spatial errors. To address this limitation, we developed a control-independent QC approach that […]
- by Sara KhamaisehCONCLUSION: Our results reveal molecular heterogeneity in uterine leiomyosarcomas and provide potential diagnostic and prognostic biomarkers for improved patient management.
- by Siiri ReinikkaCONCLUSIONS: Here, we have characterized the genomic landscape of endometrial polyps. We show that chromosomal alterations affecting HMGA1 and HMGA2 are a major underlying cause for polyp development. In addition, we present UBE2A as a novel candidate gene for human tumorigenesis. Our results contribute to a better understanding of endometrial polyp development and pave the […]
- by Rui HanCONCLUSIONS: LOY/EDY can be detected in OPMD and promotes malignant progression by altering oncogenic signaling and epithelial cell interactions. LOY/EDY may serve as both a diagnostic biomarker and a therapeutic target, improving clinical management and patient outcomes.
- by Mari VehviläinenCONCLUSION: The present study suggests that OLL is associated with HT. The association between OLP and HT was not statistically significant. Allergies are associated with OLP.
- by Sakari MäntyselkäSkeletal muscle is the main consumer of glucose after a mixed meal, and resistance exercise further increases muscle glucose uptake. Emerging evidence suggests that glucose uptake in muscles is not only stored as glycogen or used as a fuel but can also be incorporated into other biomass during growth. We aimed to study the utilization […]
- by Yue ZhangTherapeutic toxicity, which can be life-threatening, presents a major challenge in treating patients with acute myeloid leukemia (AML). Medical digital twins, which are virtual representations of patient disease, have the potential to forecast disease progression and simulate potential treatments. Using neutrophil counts and blast percentages, we developed mechanistic models to predict toxicity (neutropenia) in AML […]
- by Marta Pineda-MoncusíBACKGROUND: Drug shortages can negatively impact patient care. We aimed to estimate the incidence and prevalence of use of medicines with shortages announced by the European Medicines Agency between January, 2013, and September, 2023, and to characterise the users of these drugs.
- by Joseph SaadDespite promising anti-leukemic activity of MCL-1 inhibitors in preclinical studies of acute myeloid leukemia (AML), clinical progress has been hindered by limited knowledge of target patient subgroups. To stratify patients for MCL-1 inhibitor treatment, we evaluated the sensitivity of 42 primary AML samples to MCL-1 inhibitor MIK665 (S64315) and analyzed their molecular profiles. We observed […]
- by Debora M MeijerCentral conventional chondrosarcoma, a malignant cartilage-producing bone tumor, is the second most common bone sarcoma. Chondrosarcomas are histologically graded, which is so far the best predictor of survival. Early mutations in isocitrate dehydrogenase 1 (IDH1) and IDH2 genes are frequent, leading to the production of the oncometabolite D-2-hydroxyglutarate, which affects DNA methylation, resulting in a […]
- by Zivile GiedraityteCONCLUSIONS: IL-17C appears to play a protective role in some OSCC cells. While this study indicates the potential of using IL-17C as a therapeutic candidate for OSCC patients, its relatively mild and selective effect suggests it may be more effective as part of a combination therapy.