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NCT05795335RECRUITINGanonymous

Survival Outcomes, Adverse Events and Predictive Biomarkers for CDK4/6 Inhibitors in Patients With Hormone Receptor-positive Advanced Breast Cancer, an Ambispective Single-center Cohort Study

Sponsor

Source record

RenJi Hospital

Phase

Source record

Observational Study

Modality

AI-normalized

small molecule

Target

AI-normalized

CDK4/6 (Cyclin-Dependent Kinase 4 and 6)

Indication / condition

AI-normalized

Breast Cancer

Intervention

Source record

CDK4/6 inhibitor

Source & freshness

Source record

NCT ID

NCT05795335

Original source

ClinicalTrials.gov

Source last updated

May 16, 2023

Ingested at

Jun 16, 2026

Internal sync

Jun 16, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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View original source fields

NCT ID

NCT05795335

Title

Survival Outcomes, Adverse Events and Predictive Biomarkers for CDK4/6 Inhibitors in Patients With Hormone Receptor-positive Advanced Breast Cancer, an Ambispective Single-center Cohort Study

Sponsor

RenJi Hospital

Status

RECRUITING

Phase

Observational Study

Condition raw

Breast Cancer

Condition normalized

Breast Cancer

Modality raw

small molecule

Modality normalized

small molecule

Target raw

CDK4/6 (Cyclin-Dependent Kinase 4 and 6)

Target normalized

CDK4/6 (Cyclin-Dependent Kinase 4 and 6)

Interventions

CDK4/6 inhibitor

Public preview

Source record

This ambispective cohort study sponsored by RenJi Hospital aims to evaluate the survival outcomes, adverse events, and predictive biomarkers associated with CDK4/6 inhibitors in patients with hormone receptor-positive advanced breast cancer. The study is currently recruiting participants and is expected to provide valuable insights into the efficacy and safety of CDK4/6 inhibitors, which are a growing class of therapies in oncology. The findings could enhance the competitive positioning of CDK4/6 inhibitors in the market, particularly as the demand for targeted therapies in breast cancer continues to rise. Additionally, the study may inform future clinical development strategies and potential partnerships for further research in this therapeutic area.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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