Recent submissions
Now showing items 1-20 of 888
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FUME-TCRseq enables sensitive and accurate sequencing of the T-cell receptor from limited input of degraded RNA.
(American Association for Cancer Research, 2024-03-14)Genomic analysis of the T-cell receptor (TCR) reveals the strength, breadth, and clonal dynamics of the adaptive immune response to pathogens or cancer. The diversity of the TCR repertoire, however, means that sequencing ... -
Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
(ELSEVIER, 2024-02-01)Artificial intelligence (AI) has a multitude of applications in cancer research and oncology. However, the training of AI systems is impeded by the limited availability of large datasets due to data protection requirements ... -
Spatial Phenotyping of Tumour Immune Microenvironment in the Non-small Cell Lung Cancer Using Artificial Intelligence
(Institute of Cancer Research (University Of London), 2024-02-26)Lung cancer is the second most common cancer type worldwide, with a five-year survival rate of about 20%. The aggressiveness of the disease and the inefficiency of treatment are partially attributed to the intra-tumour ... -
Crosstalk with lung fibroblasts shapes the growth and therapeutic response of mesothelioma cells.
(SPRINGERNATURE, 2023-11-08)Mesothelioma is an aggressive cancer of the mesothelial layer associated with an extensive fibrotic response. The latter is in large part mediated by cancer-associated fibroblasts which mediate tumour progression and poor ... -
Reconstructing cancer evolution at the single-cell level in patient-derived organoids
(Institute of Cancer Research (University Of London), 2024-01-30)Genetic mutations in cancer driver genes are heritable and can confer aggressive and therapy-resistant properties to cells. However genetic driver events do not fully explain the malignant phenotype, and it is becoming ... -
Translational Aspects of Epithelioid Sarcoma: Current Consensus.
(AMER ASSOC CANCER RESEARCH, 2024-03-15)Epithelioid sarcoma (EpS) is an ultra-rare malignant soft-tissue cancer mostly affecting adolescents and young adults. EpS often exhibits an unfavorable clinical course with fatal outcome in ∼50% of cases despite aggressive ... -
Fine-Tuning Adjuvant Endocrine Therapy for Early-Stage Breast Cancer: An Expert Consensus on Open Issues for Future Research.
(AMER ASSOC CANCER RESEARCH, 2024-03-15)After decades of research, improving the efficacy of adjuvant endocrine therapy (ET) for early-stage breast cancer becomes increasingly difficult. Beyond technological breakthroughs and the availability of new classes of ... -
Translation of tissue-based artificial intelligence into clinical practice: from discovery to adoption.
(SPRINGERNATURE, 2023-11-24)Digital pathology (DP), or the digitization of pathology images, has transformed oncology research and cancer diagnostics. The application of artificial intelligence (AI) and other forms of machine learning (ML) to these ... -
Potential quality pitfalls of digitalized whole slide image of breast pathology in routine practice.
(ELSEVIER SCIENCE INC, 2022-07-01)Using digitalized whole slide images (WSI) in routine histopathology practice is a revolutionary technology. This study aims to assess the clinical impacts of WSI quality and representation of the corresponding glass slides. ... -
Subcellular Epithelial HMGB1 Expression Is Associated with Colorectal Neoplastic Progression, Male Sex, Mismatch Repair Protein Expression, Lymph Node Positivity, and an 'Immune Cold' Phenotype Associated with Poor Survival.
(MDPI, 2023-03-20)New treatment targets are needed for colorectal cancer (CRC). We define expression of High Mobility Group Box 1 (HMGB1) protein throughout colorectal neoplastic progression and examine the biological consequences of aberrant ... -
Exploring the immune microenvironment in small bowel adenocarcinoma using digital image analysis.
(PUBLIC LIBRARY SCIENCE, 2023-08-01)BACKGROUND: Small bowel adenocarcinoma (SBA) is a rare malignancy of the small intestine associated with late stage diagnosis and poor survival outcome. High expression of immune cells and immune checkpoint biomarkers ... -
Transcriptional Profiling of a Patient-Matched Cohort of Glioblastoma (IDH-Wildtype) for Therapeutic Target and Repurposing Drug Identification.
(MDPI, 2023-04-19)Glioblastoma (GBM) is the most prevalent and aggressive adult brain tumor. Despite multi-modal therapies, GBM recurs, and patients have poor survival (~14 months). Resistance to therapy may originate from a subpopulation ... -
True-T - Improving T-cell response quantification with holistic artificial intelligence based prediction in immunohistochemistry images.
(ELSEVIER, 2024-12-01)The immune response associated with oncogenesis and potential oncological ther- apeutic interventions has dominated the field of cancer research over the last decade. T-cell lymphocytes in the tumor microenvironment are a ... -
Deconstructing the soft tissue sarcoma matrisome and adhesome for drug target and biomarker discovery
(Institute of Cancer Research (University Of London), 2023-12-08)Soft tissue sarcomas (STS) are a rare and diverse group of mesenchymal malignancies that present significant challenges in clinical management due to their extensive clinical and biological heterogeneity. STS have a dismal ... -
Mapping the dynamic immune landscape associated with therapeutic response in soft tissue sarcoma
(Institute of Cancer Research (University Of London), 2023-10-24)Soft tissue sarcomas (STS) are a group of rare and heterogenous cancers of unmet need. In the advanced setting, and following failure of first-line anthracycline therapy, further line therapeutic options offer limited ... -
Virtual alignment of pathology image series for multi-gigapixel whole slide images.
(NATURE PORTFOLIO, 2023-07-26)Interest in spatial omics is on the rise, but generation of highly multiplexed images remains challenging, due to cost, expertise, methodical constraints, and access to technology. An alternative approach is to register ... -
Convergent TP53 loss and evolvability in cancer.
(BMC, 2023-09-25)Cancer cell populations evolve by a stepwise process involving natural selection of the fittest variants within a tissue ecosystem context and as modified by therapy. Genomic scrutiny of patient samples reveals an extraordinary ... -
CD44 Expression Profile Varies According to Maturational Subtypes and Molecular Profiles of Pediatric T-Cell Lymphoblastic Leukemia.
(FRONTIERS MEDIA SA, 2018-10-31)CD44 is a glycoprotein expressed in leucocytes and a marker of leukemia-initiating cells, being shown to be important in the pathogenesis of T cell acute lymphoblastic leukemia (T-ALL). In this study, we have (i) identified ... -
A novel PAX5 rearrangement in TCF3-PBX1 acute lymphoblastic leukemia: a case report.
(BMC, 2018-12-18)BACKGROUND: Chromosome translocations are a hallmark of B-cell precursor acute lymphoblastic leukemia (BCP-ALL). Additional genomic aberrations are also crucial in both BCP-ALL leukemogenesis and treatment management. ... -
IKZF1 Deletions with COBL Breakpoints Are Not Driven by RAG-Mediated Recombination Events in Acute Lymphoblastic Leukemia.
(ELSEVIER SCIENCE INC, 2019-05-01)IKZF1 deletion (ΔIKZF1) is an important predictor of relapse in both childhood and adult B-cell precursor acute lymphoblastic leukemia (B-ALL). Previously, we revealed that COBL is a hotspot for breakpoints in leukemia and ...