Results 101 to 110 of about 3,351,684 (327)

A bioinformatics screen identifies TCF19 as an aggressiveness‐sustaining gene in prostate cancer

open access: yesMolecular Oncology, EarlyView.
Gene expression meta‐analysis in multiple prostate cancer patient cohorts identifies Transcription factor 19 (TCF19) as an aggressiveness‐sustaining gene with prognostic potential. TCF19 is a gene repressed by androgen signaling that sustains core cancer‐related processes such as vascular permeability or tumor growth and metastasis.
Amaia Ercilla   +15 more
wiley   +1 more source

Three-dimensional eyebrows [PDF]

open access: yesJAAD Case Reports, 2018
Hirune Cembrero Saralegui   +2 more
openaire   +4 more sources

Multi‐omic profiling of squamous cell lung cancer identifies metabolites and related genes associated with squamous cell carcinoma

open access: yesMolecular Oncology, EarlyView.
Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf   +10 more
wiley   +1 more source

Three dimensional visualization of histopathological data

open access: yesTASK Quarterly
The histopathological examination provides information about the spatial assessment of pathological changes in the tissue. The authors present a method of extending this histopathological spatial assessment with a 3D view consisting of images of ...
Aleksandra Podwójcik
doaj   +1 more source

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

open access: yesMolecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak   +8 more
wiley   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

open access: yesMolecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker   +16 more
wiley   +1 more source

Biomimetic three-dimensional nanocrystalline hydroxyapatite and magnetically synthesized single-walled carbon nanotube chitosan nanocomposite for bone regeneration

open access: yesInternational Journal of Nanomedicine, 2012
Owen Im1, Jian Li2, Mian Wang2, Lijie Grace Zhang2,3, Michael Keidar2,31Department of Biomedical Engineering, Duke University, Durham, NC; 2Department of Mechanical and Aerospace Engineering, 3Institute for Biomedical Engineering and Institute for ...
Im O, Li J, Wang M, Zhang LG, Keidar M
doaj  

The three-dimensional Patterson function of ribonuclease II [PDF]

open access: bronze, 1956
B. S. Magdoff   +2 more
openalex   +1 more source

Characterizing epithelial‐mesenchymal transition‐linked heterogeneity in breast cancer circulating tumor cells at a single‐cell level

open access: yesMolecular Oncology, EarlyView.
In over 50% of non‐metastatic breast cancer patients, circulating tumor cells (CTCs) along the whole epithelial‐mesenchymal transition spectrum are detected. Total CTC number and individual phenotypes relate to aggressive disease characteristics, including lymph node involvement and higher tumor proliferation. At the single‐cell level, mesenchymal CTCs
Justyna Topa   +14 more
wiley   +1 more source

3D Sapiotyping: A Three Dimensional Definition

open access: yesJournal of the Pakistan Medical Association
Precision medicine and personalized care have been at centre-stage in diabetology, and rightfully so. Various means of classification and clustering have been proposed to help identify clinical features, causative factors and ‘curative’ strategies for ...
Sanjay Kalra, Atul Dhingra, Nitin Kapoor
doaj   +1 more source

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