STAT3 and PD-L1 are negatively correlated with ATM and have impact on the prognosis of triple-negative breast cancer patients with low ATM expression

Targeting STAT3 signaling pathway by curcumin and its analogues for breast cancer: A narrative review

BACKGROUND

Breast cancer (BC) continues to be a significant global health issue, with a rising number of cases requiring ongoing research and innovation in treatment strategies. Curcumin (CUR), a natural compound derived from Curcuma longa, and similar compounds have shown potential in targeting the STAT3 signaling pathway, which plays a crucial role in BC progression.

AIMS

The aim of this study was to investigate the effects of curcumin and its analogues on BC based on cellular and molecular mechanisms.

MATERIALS & METHODS

The literature search conducted for this study involved utilizing the Scopus, ScienceDirect, PubMed, and Google Scholar databases in order to identify pertinent articles.

RESULTS

This narrative review explores the potential of CUR and similar compounds in inhibiting STAT3 activation, thereby suppressing the proliferation of cancer cells, inducing apoptosis, and inhibiting metastasis. The review demonstrates that CUR directly inhibits the phosphorylation of STAT3, preventing its movement into the nucleus and its ability to bind to DNA, thereby hindering the survival and proliferation of cancer cells. CUR also enhances the effectiveness of other therapeutic agents and modulates the tumor microenvironment by affecting tumor-associated macrophages (TAMs). CUR analogues, such as hydrazinocurcumin (HC), FLLL11, FLLL12, and GO-Y030, show improved bioavailability and potency in inhibiting STAT3, resulting in reduced cell proliferation and increased apoptosis.

CONCLUSION

CUR and its analogues hold promise as effective adjuvant treatments for BC by targeting the STAT3 signaling pathway. These compounds provide new insights into the mechanisms of action of CUR and its potential to enhance the effectiveness of BC therapies.

The crosstalk between DNA-damage responses and innate immunity

DNA damage is typically caused during cell growth by DNA replication stress or exposure to endogenous or external toxins. The accumulation of damaged DNA causes genomic instability, which is the root cause of many serious disorders. Multiple cellular organisms utilize sophisticated signaling pathways against DNA damage, collectively known as DNA damage response (DDR) networks. Innate immune responses are activated following cellular abnormalities, including DNA damage. Interestingly, recent studies have indicated that there is an intimate relationship between the DDR network and innate immune responses. Diverse kinds of cytosolic DNA sensors, such as cGAS and STING, recognize damaged DNA and induce signals related to innate immune responses, which link defective DDR to innate immunity. Moreover, DDR components operate in immune signaling pathways to induce IFNs and/or a cascade of inflammatory cytokines via direct interactions with innate immune modulators. Consistently, defective DDR factors exacerbate the innate immune imbalance, resulting in severe diseases, including autoimmune disorders and tumorigenesis. Here, the latest progress in understanding crosstalk between the DDR network and innate immune responses is reviewed. Notably, the dual function of innate immune modulators in the DDR network may provide novel insights into understanding and developing targeted immunotherapies for DNA damage-related diseases, even carcinomas.

Inhibition of ATM promotes PD-L1 expression by activating JNK/c-Jun/TNF-α signaling axis in triple-negative breast cancer

Triple-negative breast cancer (TNBC) is a heterogeneous subtype of breast cancer. Anti-PD-1/PD-L1 treatment for advanced TNBC is still limited to PD-L1-positive patients. Ataxia telangiectasia mutated (ATM) is a switch molecule for homologous recombination and repair. In this study, we found a significant negative correlation between ATM and PD-L1 in 4 TNBC clinical specimens by single-cell RNA sequencing (scRNA-seq), which was confirmed by immunochemical staining in 86 TNBC specimens. We then established ATM knockdown TNBC stable cell lines to perform in vitro studies and animal experiments, proving the negative regulation of PD-L1 by ATM via suppression of tumor necrosis factor-alpha (TNF-α), which was confirmed by cytokine array analysis of TNBC cell line and analysis of clinical specimens. We further found that ATM inhibits TNF-α via inactivating JNK/c-Jun by scRNA-seq, Western blot and luciferase reporter assays. Finally, we identified a negative correlation between changes in phospho-ATMS1981 and PD-L1 levels in TNBC post- and pre-neoadjuvant therapy. This study reveals a novel mechanism by which ATM negatively regulates PD-L1 by downregulating JNK/c-Jun/TNF-α in TNBC, shedding light on the wide application of immune checkpoint blockade therapy for treating multi-line-resistant TNBC.

The predictive value of prognosis and therapeutic response for STAT family in pancreatic cancer

Background

Signal transducers and activators of transcription (STAT) proteins, well-known cytoplasmic transcription factors, were found to be abnormally expressed in various cancers and play essential parts in the initiation, progression and therapy resistance of cancer. Nevertheless, the functions of different STATs in pancreatic cancer (PC) and their relationship to the prognosis and immune infiltration as well as drug efficacy in PC patients have not been systematically elucidated.

Methods

Expression, prognosis, genetic alterations and pathway enrichment analyses of the STAT family were investigated via Oncomine, GEPIA, Kaplan Meier-plotter, cBioPortal, Metascape and GSEA. Analysis of tumor immune microenvironment was conducted by ESTIMATE and TIMER. "pRRophetic" packages were used for analysis of chemotherapeutic response. Finally, the diagnostic and prognostic value of key STATs were further validated through public datasets and immunohistochemistry.

Results

In this study, only STAT1 mRNA level was significantly increased in tumor tissues and highly expressed in PC cell lines via multiple datasets. PC patients with higher STAT1/4/6 expression had a worse overall survival (OS) and progression-free survival (PFS), while higher STAT5B expression was correlated with better prognosis in the TCGA cohort. The STATs-associated genes were enriched in pathways about the remodeling of tumor immune microenvironment. The STATs levels were significantly correlated with immune infiltration, except STAT6. The STAT1 was identified as a potential biomarker and its diagnostic and prognostic value were further validated at mRNA and protein levels. GSEA showed that STAT1 may be involved in the progression and immune regulations of PC. Moreover, STAT1 expression was significantly related to the level of immune checkpoint, and predicted immunotherapy and chemotherapy responses.

Conclusion

STAT family members were comprehensively analyzed and STAT1 was identified as an effective biomarker for predicting the survival and therapeutic response, which could be beneficial to develop better treatment strategies.