Results 181 to 190 of about 7,424,997 (207)

Mutational signatures in hematological malignancies. [PDF]

open access: yesEinstein (Sao Paulo)
Sartori FA   +3 more
europepmc   +1 more source

Bioinformatics analysis of TRPV1 expression and its role in hepatocellular carcinoma prognosis. [PDF]

open access: yesDiscov Oncol
Kashyap VK   +8 more
europepmc   +1 more source
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Abstract 4319: The need for new publication standards in cancer genomics, lessons from curating COSMIC database

Cancer Research, 2023
Abstract A consequence of the progress in cancer genomics is the exponential growth in data produced by research and clinical projects. Given the limited capacity within a scientific manuscript to share experimental data, various approaches have been developed: some data are simply excluded from the publication, moved to the ...
Alexander Holmes   +2 more
openaire   +1 more source

Mutations in Necroptosis-Related Genes Reported in Breast Cancer: A Cosmic and Uniport Database-Based Study

Clinical Breast Cancer
Breast cancer (BC) now holds the top position as the primary reason of cancer-related fatalities worldwide, overtaking lung cancer. BC is classified into diverse categories depending on histopathological type, hormone receptor status, and gene expression profile, with ongoing evolution in their classifications.
Banita Thakur, Rohit Verma, Alka Bhatia
openaire   +2 more sources

Mathematical Constraints on Cancer Mutations: Validation of Prime-Fibonacci-Square Framework Across 30 Cancer Types in the COSMIC Database

Abstract Background: The Prime-Fibonacci-Square (PFS) framework classifies the 22 autosomal chromosomes based on their mathematical properties. Chromosomes at positions that are both Prime and Fibonacci (2, 3, 5, 13) or both Fibonacci and Square (1) are designated "STRUCTURED" positions, representing 5 of 22 chromosomes (22.7%).
openaire   +1 more source

Predictive Modeling of Novel Somatic Mutation Impacts on Cancer Prognosis: A Machine Learning Approach Using the COSMIC Database

Abstract Background Somatic mutations play a crucial role in cancer initiation, progression, and treatment response. While high-throughput sequencing has vastly expanded our understanding of cancer genomics, interpreting the functional impact of novel somatic mutations remains challenging. Machine learning approaches show promise in predicting mutation
openaire   +1 more source

Health insurance status and cancer stage at diagnosis and survival in the United States

Ca-A Cancer Journal for Clinicians, 2022
Leticia Nogueira   +2 more
exaly  

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