Results 81 to 90 of about 784,391 (328)
Understanding the factors that explain differences in survival times is an important issue for establishing policies to improve national health systems.
Hanson, Timothy +3 more
core +1 more source
Evaluation of instrumental variable method using Cox proportional hazard model in epidemiological studies [PDF]
Md Jamal Uddin +2 more
openalex +1 more source
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin +10 more
wiley +1 more source
Prognostic Factors in Patients With Colorectal Cancer at Hospital Universiti Sains Malaysia
To determine the 5-year survival rate and prognostic factors for survival in patients with colorectal cancer treated at the Surgical Unit, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia.
Anis Kausar Ghazali +3 more
doaj +1 more source
Survival analysis of DNA mutation motifs with penalized proportional hazards
Antibodies, an essential part of our immune system, develop through an intricate process to bind a wide array of pathogens. This process involves randomly mutating DNA sequences encoding these antibodies to find variants with improved binding, though ...
Feng, Jean +4 more
core +2 more sources
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern +7 more
wiley +1 more source
A bioinformatics screen identifies TCF19 as an aggressiveness‐sustaining gene in prostate cancer
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
A semi-parametric regression model for analysis of middle censored lifetime data
Middle censoring introduced by Jammalamadaka and Mangalam (2003), refers to data arising in situations where the exact lifetime becomes unobservable if it falls within a random censoring interval, otherwise it is observable.
Sreenivasa Rao Jammalamadaka +2 more
doaj +1 more source
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
Following high dose rate brachytherapy (HDR‐BT) for hepatocellular carcinoma (HCC), patients were classified as responders and nonresponders. Post‐therapy serum induced increased BrdU incorporation and Cyclin E expression of Huh7 and HepG2 cells in nonresponders, but decreased levels in responders.
Lukas Salvermoser +14 more
wiley +1 more source

