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Now showing items 1161-1180 of 4751
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Deciphering associations between three RNA splicing-related genetic variants and lung cancer risk.
(NATURE PORTFOLIO, 2022-06-30)Limited efforts have been made in assessing the effect of genome-wide profiling of RNA splicing-related variation on lung cancer risk. In the present study, we first identified RNA splicing-related genetic variants linked ... -
Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries.
(NATURE PORTFOLIO, 2022-12-20)Colorectal cancer (CRC) is a leading cause of mortality worldwide. We conducted a genome-wide association study meta-analysis of 100,204 CRC cases and 154,587 controls of European and east Asian ancestry, identifying 205 ... -
Deciphering evolutionary trajectories in hereditary renal cell carcinomas
(Institute of Cancer Research (University Of London), 2024-01-16)Establishing the limits of predictability in cancer evolution has significant implications for precision medicine. Clear cell renal cell carcinoma (ccRCC) follows highly deterministic evolutionary pattern with conserved ... -
Deciphering genetic susceptibility to multiple myeloma
(Institute of Cancer Research (University Of London), 2020-09-30)Multiple myeloma (MM) is a malignancy characterised by the clonal expansion of plasma cells primarily from the bone marrow. The two- to four-fold increased risk observed in relatives of MM patients provides support for ... -
Deciphering intratumor heterogeneity and temporal acquisition of driver events to refine precision medicine
(BIOMED CENTRAL LTD, 2014)The presence of multiple subclones within tumors mandates understanding of longitudinal and spatial subclonal dynamics. Resolving the spatial and temporal heterogeneity of subclones with cancer driver events may offer ... -
Deciphering the genetics and mechanisms of predisposition to multiple myeloma.
(Springer Science and Business Media LLC, 2024-08-05)Multiple myeloma (MM) is an incurable malignancy of plasma cells. Epidemiological studies indicate a substantial heritable component, but the underlying mechanisms remain unclear. Here, in a genome-wide association study ... -
Deciphering the genomic landscape and evolution in multiple myeloma
(Institute of Cancer Research (University Of London), 2020-09-30)Multiple myeloma (MM) is the second commonest haematological cancer in Western countries, with most patients dying from progressive disease after relapse. Currently, the molecular mechanisms responsible for the initiation ... -
Deciphering the signaling network of breast cancer improves drug sensitivity prediction.
(CELL PRESS, 2021-05-19)One goal of precision medicine is to tailor effective treatments to patients' specific molecular markers of disease. Here, we used mass cytometry to characterize the single-cell signaling landscapes of 62 breast cancer ... -
Decline in Circulating Tumor Cell Count and Treatment Outcome in Advanced Prostate Cancer.
(ELSEVIER SCIENCE BV, 2016-12-01)BACKGROUND: Treatment response biomarkers are urgently needed for castration-resistant prostate cancer (CRPC). Baseline and post-treatment circulating tumor cell (CTC) counts of ≥5 cells/7.5ml are associated with poor CRPC ... -
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 ... -
Deconvolution of Buparlisib’s mechanism of action defines specific PI3K and tubulin inhibitors for therapeutic intervention
(Springer Science and Business Media LLC, 2017-03-09)<jats:title>Abstract</jats:title><jats:p>BKM120 (Buparlisib) is one of the most advanced phosphoinositide 3-kinase (PI3K) inhibitors for the treatment of cancer, but it interferes as an off-target effect with microtubule ... -
DECONVOLVING CONVOLUTIONAL NEURAL NETWORK FOR CELL DETECTION
(IEEE, 2019-01-01) -
Decreased function of survival motor neuron protein impairs endocytic pathways.
(NATL ACAD SCIENCES, 2016-07-26)Spinal muscular atrophy (SMA) is caused by depletion of the ubiquitously expressed survival motor neuron (SMN) protein, with 1 in 40 Caucasians being heterozygous for a disease allele. SMN is critical for the assembly of ... -
Decreased glutathione biosynthesis contributes to EGFR T790M-driven erlotinib resistance in non-small cell lung cancer.
(2016-01)Epidermal growth factor receptor (EGFR) inhibitors such as erlotinib are novel effective agents in the treatment of EGFR-driven lung cancer, but their clinical impact is often impaired by acquired drug resistance through ... -
Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features.
(SPRINGER/PLENUM PUBLISHERS, 2021-06-01)Patient-Derived Xenografts (PDXs) are the preclinical models which best recapitulate inter- and intra-patient complexity of human breast malignancies, and are also emerging as useful tools to study the normal breast ... -
Deep Learning for Automatic Segmentation, Treatment Planning and MRI Quantitative Analysis of Cervical Cancer
(Institute of Cancer Research (University Of London), 2024-07-25)Cervical cancer is a threatening global health concern for women, typically treated with radiation therapy (RT) in advanced stages, traditionally planned using computed tomography (CT) scans. However, advancements in medical ... -
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging.
(MDPI, 2023-11-03)T2-weighted magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) are essential components of cervical cancer diagnosis. However, combining these channels for the training of deep learning models is challenging ... -
Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI.
(WILEY, 2020-01-01)PURPOSE: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted MRI (DW-MRI) data and evaluates its ... -
Deep sequencing reveals persistence of cell-associated mumps vaccine virus in chronic encephalitis.
(2017-01)Routine childhood vaccination against measles, mumps and rubella has virtually abolished virus-related morbidity and mortality. Notwithstanding this, we describe here devastating neurological complications associated with ... -
Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI.
(PERGAMON-ELSEVIER SCIENCE LTD, 2022-10-01)PURPOSE: To use deep learning to calculate the uncertainty in apparent diffusion coefficient (σADC) voxel-wise measurements to clinically impact the monitoring of treatment response and improve the quality of ADC maps. ...