PARP1 and PRC2 double deficiency promotes BRCA-proficient breast cancer growth by modification of the tumor microenvironment.
A-Yeong YangEun-Bee ChoiMi So ParkSeon-Kyu KimMin-Seok ParkMi-Young KimPublished in: The FEBS journal (2020)
Poly (ADP-ribose) polymerase 1 (PARP1) and polycomb-repressive complex 2 (PRC2) are each known for their individual roles in cancer, but their cooperative roles have only been studied in the DNA damage repair process in the context of BRCA-mutant cancers. Here, we show that simultaneous inhibition of PARP1 and PRC2 in the MDA-MB-231 BRCA-proficient triple-negative breast cancer (TNBC) cell line leads to a synthetic viability independent of the mechanisms of DNA damage repair. Specifically, we find that either genetic depletion or pharmacological inhibition of both PARP1 and PRC2 can accelerate tumor growth rate. We attribute this to modifications in the tumor microenvironment (TME) that are induced by double-depleted breast cancer cells, such as promoting intratumoral angiogenesis and increasing the proportion of tumor-promoting type 2 (M2) macrophages. These changes subsequently inhibit cell death and promote proliferation. Mechanistically, we find that PARP1 and PRC2 double depletion induces not only a basal activation of the NF-κB pathway but also a maximal activation of NF-κB within the TME in response to external stimuli such as hypoxia and the presence of macrophages. In summary, our study reveals an unprecedented synthetic viable interaction between PARP1 and PRC2 in BRCA-proficient TNBC and identifies NF-κB as the downstream mediator. DATABASE: RNA-seq data are available in the GEO databases under the accession GSE142769.
Keyphrases
- dna damage
- dna repair
- oxidative stress
- signaling pathway
- rna seq
- breast cancer cells
- cell death
- lps induced
- single cell
- pi k akt
- big data
- blood pressure
- nuclear factor
- squamous cell carcinoma
- papillary thyroid
- gene expression
- machine learning
- body composition
- electronic health record
- vascular endothelial growth factor
- lymph node metastasis
- young adults
- copy number
- artificial intelligence
- data analysis
- deep learning
- high intensity
- smoking cessation