Dietary γ-mangostin triggers immunogenic cell death and activates cGAS signaling in acute myeloid leukemia

Saikosaponin A Mediates the Anti-Acute Myeloid Leukemia Effect via the P-JNK Signaling Pathway Induced by Endoplasmic Reticulum Stress

Objective

This study aims to investigate the antitumor effects of saikosaponin A (SSA) on acute myeloid leukemia (AML) and elucidate its underlying mechanisms, particularly focusing on the endoplasmic reticulum stress (ERS)-mediated MAPK-p-JNK signaling pathway.

Methods

The inhibitory effects of SSA on the proliferation of AML cell lines K562 and HL60 were evaluated using CCK8 and EdU assays. Apoptotic effects induced by SSA were analyzed via flow cytometry. RNA sequencing was performed to identify differentially expressed genes and enriched signaling pathways. Western blot analysis was utilized to confirm the involvement of ERS and activation of the MAPK-p-JNK signaling pathway. Further validation of the potential mechanism of SSA-induced apoptosis was conducted using SP600125 and 4PBA. The in vivo anti-AML efficacy of SSA was assessed using a xenograft model.

Results

SSA exhibited significant inhibitory effects on the proliferation of AML cell lines K562 and HL60, with IC50 values at 12, 24, and 48 hours demonstrating time- and dose-dependency (19.84 μM, 17.86 μM, and 15.38 μM for K562; 22.73 μM, 17.02 μM, and 15.25 μM for HL60, respectively). Western blot analysis demonstrated that SSA induces apoptosis in AML cells through the mitochondrial apoptotic pathway. Transcriptomic profiling and Western blot analyses confirmed that SSA activates the ERS-mediated p-JNK signaling pathway to induce apoptosis in AML, a process that can be reversed by the addition of 4PBA or SP600125. Furthermore, SSA significantly reduced tumor volume and weight in a NOD-SCID mouse xenograft model without causing notable toxicity to the liver, kidneys, lungs, or heart, while also activating the ERS and p-JNK signaling pathways in vivo.

Conclusion

SSA induces apoptosis in AML cells by activating the ERS-mediated p-JNK signaling pathway, exhibiting significant anti-AML effects both in vitro and in vivo, accompanied by a favorable safety profile.

The novel prognostic analysis of AML based on ferroptosis and cuproptosis related genes

BACKGROUND

Acute myeloid leukemia (AML) is a hematological malignancy. The aim of this research was to develop a ferroptosis and cuproptosis related novel prognostic signature associated with AML.

METHODS

The ferroptosis and cuproptosis related genes correlated with the prognosis of AML were identified by univariate Cox analysis. The consistent cluster analysis was performed for 150 AML patients in TCGA dataset. The key module genes associated with GSVA score of ferroptosis and cuproptosis were identified by WGCNA. univariate Cox and LASSO regression analysis were adopted to build a ferroptosis and cuproptosis AML prognostic signature. Finally, the expression of five prognostic genes in clinical tissue samples were verified by RT-qPCR.

RESULTS

A grand total of 27 FCRGs associated with AML prognosis were identified.Then, two AML sub-types with significantly different survival were obtained. We found 3 significantly differential expressed immune cells (naive CD4 cells, regulatory T cells and resting mast cells) between two risk sub-groups. Meanwhile, 'IL6 JAK STAT3 signaling' and 'P53 pathway' were enriched in low-risk group. A ferroptosis and cuproptosis related prognostic signature was build based on 8 prognostic genes. RT-qPCR results indicated that there was no significant difference in the expression of OLFML2A and CD109 between AML and normal samples. However, compared to the control group, LGALS1, SOCS1, and RHOC showed significantly lower expression in the AML group.

CONCLUSION

The prognostic signature comprised of OLFML2A, LGALS1, ABCB11, SOCS1, RHOC, CD109, RD3L and PTPN13 based on ferroptosis and cuproptosis was established, which provided theoretical basis for the research of AML.

Clinical application of immunogenic cell death inducers in cancer immunotherapy: turning cold tumors hot

Immunotherapy has emerged as a promising cancer treatment option in recent years. In immune "hot" tumors, characterized by abundant immune cell infiltration, immunotherapy can improve patients' prognosis by activating the function of immune cells. By contrast, immune "cold" tumors are often less sensitive to immunotherapy owing to low immunogenicity of tumor cells, an immune inhibitory tumor microenvironment, and a series of immune-escape mechanisms. Immunogenic cell death (ICD) is a promising cellular process to facilitate the transformation of immune "cold" tumors to immune "hot" tumors by eliciting innate and adaptive immune responses through the release of (or exposure to) damage-related molecular patterns. Accumulating evidence suggests that various traditional therapies can induce ICD, including chemotherapy, targeted therapy, radiotherapy, and photodynamic therapy. In this review, we summarize the biological mechanisms and hallmarks of ICD and introduce some newly discovered and technologically innovative inducers that activate the immune system at the molecular level. Furthermore, we also discuss the clinical applications of combing ICD inducers with cancer immunotherapy. This review will provide valuable insights into the future development of ICD-related combination therapeutics and potential management for "cold" tumors.

A novel immunogenic cell death-related classification indicates the immune landscape and predicts clinical outcome and treatment response in acute myeloid leukemia

BACKGROUND

Immunogenic cell death (ICD) is closely related to anti-tumor therapy and regulates the tumor microenvironment (TME). This study aims to explore the molecular characteristics of ICD in acute myeloid leukemia (AML) and to analyze the value of ICD-related biomarkers in TME indication, prognosis prediction, and treatment response evaluation in AML.

METHODS

Single-sample gene set enrichment analysis was used to calculate the ICD score. LASSO regression was used to construct a prognostic risk score model. We also analyzed differences in clinical characteristics, immune landscape, immunotherapy response, and chemotherapy sensitivity between high-risk and low-risk patients.

RESULTS

This study identified two ICD-related subtypes and found significant heterogeneity in clinical prognosis, TME, and immune landscape between different ICD subtypes. Subsequently, a novel ICD-related prognostic risk score model was developed, which accurately predicted the prognosis of AML patients and was validated in nine AML cohorts. Moreover, there were significant correlations between risk scores and clinicopathological factors, somatic mutations, TME characteristics, immune cell infiltration, immunotherapy response, and chemosensitivity. We further validated the model gene expression in a clinically real-world cohort.

CONCLUSIONS

The novel ICD-related signatures identified and validated by us can serve as promising biomarkers for predicting clinical outcomes, chemotherapy sensitivity, and immunotherapy response in AML patients, guiding the establishment of personalized and accurate treatment strategies for AML.