Results 201 to 210 of about 75,040 (259)

AI‐Based Analysis of Tumor‐Infiltrating Lymphocytes and Homologous Recombination in Ovarian Cancer: JGOG3025‐A1 Study

open access: yesCancer Science, EarlyView.
AI‐based spatial analysis of tumor‐infiltrating lymphocytes in ovarian cancer revealed the highest infiltration in high‐grade serous carcinoma. Integrating pathology‐based immune phenotypes with HRD status provided additional prognostic insight and highlighted distinct relationships between TILs and genomic structure.
Kohei Hamada   +17 more
wiley   +1 more source

Triggering SORL1 Expression Restricts ccRCC Progression by Inducing Ubiquitination‐Mediated c‐Myc Degradation

open access: yesCancer Science, EarlyView.
Targeted triggering of SORL1 expression through a novel MPOC delivery system could inhibit ccRCC progression through binding to TRIM22 and further promoting ubiquitination‐mediated C‐MYC degradation, thereby facilitating the inhibition of oxidative phosphorylation through transcriptional repression of ACO2 and IDH2.
Keyi Wang   +11 more
wiley   +1 more source

Untangling the Copy Number Variation at the Basis of Belted Phenotypes in Cattle Using Long-Read Sequencing. [PDF]

open access: yesAnim Genet
Hogers RAH   +8 more
europepmc   +1 more source

Machine Learning‐Derived Immune Gene Signature Predicts Prognosis and Therapeutic Vulnerabilities in Multiple Myeloma

open access: yesCancer Science, EarlyView.
An immune‐related 12‐gene signature developed through integrative machine learning stratified overall survival across multiple myeloma cohorts and remained independently associated with outcome. Single‐cell, somatic mutation, and transcriptome‐based drug‐response analyses further linked the signature to multicellular bone marrow context, distinct ...
Kai Wang   +10 more
wiley   +1 more source

Insight into Essential and Complex Autism Spectrum Disorders: Clinical Characteristics, Chromosomal Microarray Analysis, and Risk Factors. [PDF]

open access: yesGenes (Basel)
Tüysüz B   +8 more
europepmc   +1 more source

Dynamic Changes of ctDNA‐Based MRD and Genomic Mutations Predict Prognosis in ESCC Treated With Definitive Radiotherapy

open access: yesCancer Science, EarlyView.
In patients with esophageal squamous cell carcinoma receiving definitive radiotherapy combined with systemic therapy, posttreatment TP53 mutation clearance and ctDNA‐MRD negativity predict favorable outcomes, whereas persistent ctDNA signals indicate elevated relapse risk, supporting nucleosome‐ and MRD‐informed surveillance and risk‐stratification ...
Shutang Liu   +9 more
wiley   +1 more source

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