Characterization of Parthanatos in Breast Cancer: Implications for Prognosis and PARP Inhibitor Resistance

Parthanatos, a novel form of programmed cell death mediated by PARP1 and driven by DNA damage, has not been comprehensively characterized in breast cancer (BC). Given the widespread clinical use of PARP1 inhibitors for treating BRCA-mutant breast cancers, understanding the role of parthanatos is crucial. In this study, we systematically analyzed the role and clinical significance of parthanatos in BC by integrating genomic, transcriptomic, and clinical data. Our analysis revealed significant differential expression of parthanatos-related genes between BC and normal breast tissues, with frequent copy number variations (CNVs) affecting gene expression. At the single-cell level, parthanatos-related genes were primarily expressed in breast cancer cells and macrophages, and genomic instability scores were positively correlated with parthanatos pathway scores. Unsupervised clustering identified two BC subtypes based on parthanatos-related gene expression: C1 (parthanatos-high) and C2 (parthanatos-low). C1 exhibited a poorer prognosis, reduced immune infiltration, and potential resistance to PARP inhibitors compared to C2. This study represents the first comprehensive investigation of parthanatos in BC, offering insights into its role in tumor progression and highlighting its potential link to PARP inhibitor resistance and poor clinical outcomes.

Authors

Institutions

Publication Details

Journal
Bioengineering
Published
2025-05-29
DOI
https://doi.org/10.3390/bioengineering12060586
Primary Topic
PARP inhibition in cancer therapy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of Parthanatos in Breast Cancer: Implications for Prognosis and PARP Inhibitor Resistance

Ranxin Zhang, Wei Du, Feiyang Qi, David S. Geller et al.
Bioengineering
PARP inhibition in cancer therapy
article

Characterization of Parthanatos in Breast Cancer: Implications for Prognosis and PARP Inhibitor Resistance

Ranxin Zhang, Wei Du, Feiyang Qi, David S. Geller, Jichuan Wang, Linxi Chen, Bang H. Hoang, Jun Li, Li Hu, Jin-Hai Tang, Rui Yang
article en

Abstract

Parthanatos, a novel form of programmed cell death mediated by PARP1 and driven by DNA damage, has not been comprehensively characterized in breast cancer (BC). Given the widespread clinical use of PARP1 inhibitors for treating BRCA-mutant breast cancers, understanding the role of parthanatos is crucial. In this study, we systematically analyzed the role and clinical significance of parthanatos in BC by integrating genomic, transcriptomic, and clinical data. Our analysis revealed significant differential expression of parthanatos-related genes between BC and normal breast tissues, with frequent copy number variations (CNVs) affecting gene expression. At the single-cell level, parthanatos-related genes were primarily expressed in breast cancer cells and macrophages, and genomic instability scores were positively correlated with parthanatos pathway scores. Unsupervised clustering identified two BC subtypes based on parthanatos-related gene expression: C1 (parthanatos-high) and C2 (parthanatos-low). C1 exhibited a poorer prognosis, reduced immune infiltration, and potential resistance to PARP inhibitors compared to C2. This study represents the first comprehensive investigation of parthanatos in BC, offering insights into its role in tumor progression and highlighting its potential link to PARP inhibitor resistance and poor clinical outcomes.

BioengineeringVol. 12(6)
Albert Einstein College of Medicine (US), Montefiore Medical Center (US), Peking University (CN), Peking University Cancer Hospital (CN), Peking University People's Hospital (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China, National Institutes of Health
No poverty
Openalex Percentile: Top 81%
PARP inhibition in cancer therapy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.