Browsing ICR Divisions by title
Now showing items 1118-1137 of 4580
-
De Novo Missense Substitutions in the Gene Encoding CDK8, a Regulator of the Mediator Complex, Cause a Syndromic Developmental Disorder.
(CELL PRESS, 2019-04-04)The Mediator is an evolutionarily conserved, multi-subunit complex that regulates multiple steps of transcription. Mediator activity is regulated by the reversible association of a four-subunit module comprising CDK8 or ... -
De novo mutations implicate novel genes in systemic lupus erythematosus.
(2018-02)The omnigenic model of complex disease stipulates that the majority of the heritability will be explained by the effects of common variation on genes in the periphery of core disease pathways. Rare variant associations, ... -
De novo phosphatidylcholine synthesis is required for autophagosome membrane formation and maintenance during autophagy.
(TAYLOR & FRANCIS INC, 2020-06)UNLABELLED: Macroautophagy/autophagy can enable cancer cells to withstand cellular stress and maintain bioenergetic homeostasis by sequestering cellular components into newly formed double-membrane vesicles destined for ... -
De Novo Truncating Mutations in the Last and Penultimate Exons of PPM1D Cause an Intellectual Disability Syndrome.
(CELL PRESS, 2017-04-06)Intellectual disability (ID) is a highly heterogeneous disorder involving at least 600 genes, yet a genetic diagnosis remains elusive in ∼35%-40% of individuals with moderate to severe ID. Recent meta-analyses statistically ... -
De-escalating Surgery Among Patients with HER2 + and Triple Negative Breast Cancer.
(SPRINGER, 2022-07-27)PURPOSE OF REVIEW: De-escalation of surgery has been central in the evolution of multidisciplinary management of breast cancer. Advances in oncology and increasing use of neoadjuvant chemotherapy (NACT) have opened ... -
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 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 ...