Results 71 to 80 of about 184,107 (180)
Abstract Exposure levels without appreciable human health risk may be determined by dividing a point of departure on a dose–response curve (e.g., benchmark dose) by a composite adjustment factor (AF). An “effect severity” AF (ESAF) is employed in some regulatory contexts.
Barbara L. Parsons+17 more
wiley +1 more source
Adverse Outcome Pathways Applied to Space Radiation Research
ABSTRACT Long‐duration spaceflight exposes astronauts to various stressors that can alter human physiology, potentially causing immediate and long‐term health effects. These stressors can damage biomolecules, cells, tissues, and organs, leading to adverse outcomes.
Vinita Chauhan+18 more
wiley +1 more source
Low Input Whole-Exome Sequencing to Determine the Representation of the Tumor Exome in Circulating DNA of Non-Small Cell Lung Cancer Patients. [PDF]
Circulating cell-free DNA (cfDNA) released from cancerous tissues has been found to harbor tumor-associated alterations and to represent the molecular composition of the tumor.
Steffen Dietz+8 more
doaj +1 more source
What's New? Lynch syndrome is a prevalent cause of hereditary gynecological cancers, but the timeline of molecular alterations preceding malignancy remains unclear. By studying consecutive surveillance specimens for up to 15 years before cancer diagnosis, the authors found that atypical endometrial hyperplasia was indistinguishable from endometrial and
Anni K. Kauppinen+3 more
wiley +1 more source
Effect of PTGES3 on the Prognosis and Immune Regulation in Lung Adenocarcinoma
Background. PTGES3 is upregulated in multiple cancer types and promotes tumorigenesis and progression. However, the clinical outcome and immune regulation of PTGES3 in lung adenocarcinoma (LUAD) are not fully understood.
Wenyan Jiang+5 more
doaj +1 more source
What's New? Current knowledge of the genetic architecture underlying the development of renal cell carcinoma‐related multiple primary tumours is limited. The authors comprehensively analysed the results of exome/genome sequencing cohorts including 534 patients to better define genotype–phenotype correlations.
Huairen Zhang+6 more
wiley +1 more source
Detecting protein variants by mass spectrometry: a comprehensive study in cancer cell-lines
Background Onco-proteogenomics aims to understand how changes in a cancer’s genome influences its proteome. One challenge in integrating these molecular data is the identification of aberrant protein products from mass-spectrometry (MS) datasets, as ...
Javier A. Alfaro+5 more
doaj +1 more source
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago+3 more
wiley +1 more source
Expanding the Spectrum of Canine Diffuse Large B-Cell Lymphoma Genetic Aberrations Through Whole Genome Sequencing Analysis. [PDF]
ABSTRACT Diffuse large B‐cell lymphoma (DLBCL) is one of the most prevalent haematological malignancies in both humans and dogs, characterised in both species by significant clinical heterogeneity and limited prognostic predictability. With the introduction of next‐generation sequencing (NGS) technologies in veterinary medicine over the past decade ...
Fanelli A+4 more
europepmc +2 more sources
No spectral dataset is perfect, but how severely will imperfection cost you? This study finds that CNNs are more robust against spectral errors than SVMs, particularly with data that exhibits day‐to‐day calibration‐type errors. However, when no artefacts are present, the SVM produces the best model.
Mitchell Chalmers+3 more
wiley +1 more source