Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Modeling of senescence-related chemoresistance in ovarian cancer using data analysis and patient-derived organoids

2 Feb 2024

Abstract excerpt

Background Ovarian cancer (OC) is a malignant tumor associated with poor prognosis owing to its susceptibility to chemoresistance. Cellular senescence, an irreversible biological state, is intricately linked to chemoresistance in cancer treatment. We developed a senescence-related gene signature for prognostic prediction and evaluated personalized treatment in patients with OC. Methods We acquired the clinical...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chromatin Remodeling and Cancer
Share to PARP inhibition in cancer therapy
Share to Telomeres, Telomerase, and Senescence

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38370348
DOI: 10.3389/fonc.2023.1291559

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Modeling of senescence-related chemoresistance in ovarian cancer using data analysis and patient-derived organoidsPMID 38370348Read ↗

A cellular senescence-related classifier based on a tumorigenesis- and immune infiltration-guided strategy can predict prognosis, immunotherapy response, and candidate drugs in hepatocellular carcinomaSemantic proximity Read ↗

Identifying the Role of Oxidative Stress‐Related Genes as Prognostic Biomarkers and Predicting the Response of Immunotherapy and Chemotherapy in Ovarian CancerSemantic proximity Read ↗

Molecular characteristics of early- and late-onset ovarian cancer: insights from multidimensional evidenceSemantic proximity Read ↗

Patient-Derived Organoids Functionally Stratify Epithelial Ovarian Cancer into Clinically Relevant Chemotherapy Response PhenotypesSemantic proximity Read ↗

Comprehensive genomics analysis of aging related gene signature to predict the prognosis and drug resistance of colon adenocarcinomaSemantic proximity Read ↗

A Four-Cell-Senescence-Regulator-Gene Prognostic Index Verified by Genome-Wide CRISPR Can Depict the Tumor Microenvironment and Guide Clinical Treatment of Bladder CancerSemantic proximity Read ↗

A cellular senescence-related genes model allows for prognosis and treatment stratification of cervical cancer: a bioinformatics analysis and external verificationSemantic proximity Read ↗

Identification of an Autophagy-Related Signature for Prognosis and Immunotherapy Response Prediction in Ovarian CancerSemantic proximity Read ↗

Constructing an Ovarian Cancer Prognostic Model Based on Shared m6A Modifications and Cellular Senescence-Related Genes with Polycystic Ovary SyndromeSemantic proximity Read ↗

Identification and characterization of aging/senescence-induced genes in osteosarcoma and predicting clinical prognosisSemantic proximity Read ↗

Multifactor assessment of ovarian cancer reveals immunologically interpretable molecular subtypes with distinct prognosesSemantic proximity Read ↗

Evaluation and in vitro verification of the prognostic value of palmitoylation-related genes in ovarian cancerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.