BCL2A1 regulates Canady Helios Cold Plasma-induced cell death in triple-negative breast cancer

BCL2A1‑ and G0S2‑driven neutrophil extracellular traps: A protective mechanism linking preeclampsia to reduced breast cancer risk

Preeclampsia has been associated with a reduced risk of breast cancer (BC), but the mechanisms underlying this relationship remain unclear. It has been suggested that neutrophil extracellular traps (NETs), which are released upon neutrophil activation, play a key role in both preeclampsia and BC. To investigate this link, the single‑cell RNA sequencing dataset GSE173193 was analyzed and upregulated genes BCL2A1 and G0/G1 switch gene 2 (G0S2) were identified in neutrophils from preeclamptic placentas. These findings were validated using reverse transcription‑quantitative PCR and western blotting. Combined analyses of preeclampsia and BC tissues, from Gene Expression Omnibus (GSE24129) and The Cancer Genome Atlas databases respectively, identified 2,040 upregulated differentially expressed genes, including BCL2A1 and G0S2. Furthermore, these genes showed clinical relevance to BC, as demonstrated by Receiver Operating Characteristic curve, survival analyses and weighted gene co‑expression network analysis. Functional experiments revealed that overexpression of BCL2A1 and G0S2 increased NET release and inhibited BC cell proliferation, invasion and migration. The present study provides novel insights into the shared molecular pathways of preeclampsia and BC, emphasizing NETs as a potential protective mechanism as increased NET production in preeclampsia may contribute to a reduced BC risk by influencing tumor progression and offer avenues for further research into therapeutic interventions.

In-vitro immune-modulation of triple-negative breast cancer through targeting miR-30a-5p/MALAT1 axis using nano-PDT combinational approach

BACKGROUND

Triple negative breast cancer (TNBC) is an immunogenic tumor; however, its tumor immune microenvironment (TIME) is densely packed with immune suppressive cytokines and immune checkpoints. The immune-suppressive features of TNBC TIME represent a considerable obstacle to any immunotherapeutic approach. The objective of this study was to develop a multimodal in-vitro strategy to manipulate the TNBC TIME and enhance patients' outcomes by employing carefully tailored hybrid chitosan-lipid Nanoparticles (CLNPs), metformin and chlorin e6 (Ce-6)-mediated PDT, alone or combined. Special focus is directed towards evaluation of the role of the selected treatment agents on the non-coding RNAs (ncRNAs) involved in tuning the immuno-oncogenic profile of TNBC, for instance, the miR-30a-5p/MALAT1 network.

METHODS

This study enrolled 30 BC patients. CLNPs and ce-6-loaded CLNPs with different physicochemical features were synthesized and optimized using ionotropic gelation. The intracellular concentration and effects on MDA-MB-231 cellular viability were investigated. UHPLC was used to quantify ce-6. MDA-MB-231 cells were transfected with miR-30a-5p oligonucleotides and MALAT1 siRNAs using lipofection to investigate the interaction between MIF, PD-L1, TNF-α, IL-10, and the miR-30a-5p/MALAT1 ceRNA network. qRT-PCR was used to evaluate IL-10, TNF-α, and MIF expression levels, whereas flow cytometry was used for PD-L1.

RESULTS

Immunophenotyping of BC biopsies revealed significantly elevated levels of immunosuppressive markers, including IL-10, TNF-α, PD-L1, and MIF in BC biopsies compared to its normal counterparts. Upon patient stratification, it was shown that MIF and IL-10 are upregulated in TNBC patients compared to non-TNBC patients. Nonetheless, immune suppressive biomarkers expression investigated in the current study was generally correlated with signs of poor prognosis. CLNPs with mean particle size ranging from 50-150 nm were obtained. CLNPs exhibited different patterns of intracellular uptake, cytotoxicity and modulation of the immunosuppressive markers based on their physicochemical properties and composition. In particular, CLNP4 in-vitro effectively reduced IL-10, TNF-α, MIF, and PD-L1. Loading of Ce-6 into CLNP4 (Ce6-CLNPs) improved the in-vitro cytotoxic effects via PDT. In addition, PDT with Ce6-CLNP4 enhanced the expression of tumor-suppressive miR-30a-5p and decreased oncogenic lncRNA MALAT1 expression in MDA-MB-231 cells, suggesting a potential for modulating the TNBC immuno-oncogenic profile.

CONCLUSION

This study demonstrated that CLNPs and Ce-6-mediated PDT can modulate several key immunosuppressive factors and the miR-30a-5p/MALAT1 axis in TNBC cells. These findings provide a rationale for further in-vivo investigation of this multimodal therapeutic strategy.

CD44 is a nexus between prognosis and therapeutics for brain cancer management

BACKGROUND

Brain tumors, both primary and metastatic, are the main cause of cancer-associated mortality leading to patients' poor quality-of-life that remain as a global challenge. This study aims to identify the hub molecular controlling brain cancer progression, and establish corresponding prognostic index and therapeutic modality for improved brain cancer management.

METHOD

We performed pan-cancer analysis unifying 9 publicly available datasets of cancers metastasized to the brain from different organs to identify the hub gene feasible for brain cancer prognosis. We conducted a series of computational analysis of the identified hub gene in primary gliomas to assess its diagnostic value. We investigated the potency and safety of cold atmospheric plasma (CAP) in treating brain cancers via targeting this hub molecule both in vitro and in vivo using glioma cells as the disease model.

RESULTS

We identified CD44 as the nexus of brain cancer prognosis and therapeutics that should be applicable to both primary and metastatic brain cancers. We, in addition, constructed a CD44-dependent unified index for brain cancer overall survival prognosis; and proposed CAP as a highly promising approach for arresting brain cancers via targeting CD44.

CONCLUSIONS

We are the first to characterize the relevance of CD44 with brain cancers by integrating its values on prognosis and therapeutics, as well as unifying its application scenarios in primary and metastatic brain cancers. Our work may spark innovative theranostic design for improved brain cancer management besides solutions provided by this study.

Cancer metastasis: molecular mechanisms and therapeutic interventions

The metastatic cascade is a complicated process where cancer cells travel across multiple organs distant from their primary site of onset. Despite the wide acceptance of the 'seed and soil' theory, mechanisms driving metastasis organotropism remain mystery. Using breast cancer of different subtypes as the disease model, we characterized the 'metastatic profile of cancer cells' and the 'redox status of the organ microenvironment' as the primary determinants of cancer metastasis organotropism. Mechanically, we identified a positive correlation between cancer metabolic plasticity and stemness, and proposed oxidative stress as the selection power of cancer cells succeeding the metastasis cascade. Therapeutically, we proposed the use of pro-oxidative therapeutics in ablating cancer cells taking advantages of this fragile moment during metastasis. We comprehensively reviewed current pro-oxidative strategies for treating cancers that cover the first line chemo- and radio-therapies, approaches relying on naturally existing power including magnetic field, electric field, light and sound, nanoparticle-based anti-cancer composites obtained through artificial design, as well as cold atmospheric plasma as an innovative pro-oxidative multi-modal modality. We discussed possible combinations of pro-oxidative approaches with existing therapeutics in oncology prior to the forecast of future research directions. This paper identified the fundamental mechanics driving metastasis organotropism and proposed intervention strategies accordingly. Insights provided here may offer clues for the design of innovative solutions that may open a new paradigm for cancer treatment.

Screening of key genes involved in endometritis in cows and the regulatory role of CD83 in bovine endometrial epithelial cells

Endometritis in dairy cows involves complex molecular regulatory mechanisms. Therefore, uncovering the molecular regulatory mechanisms of endometritis in dairy cows is crucial to understand its development, prevention, and treatment. This study aimed to screen and validate key genes associated with endometritis using transcriptome sequencing of blood samples and previously obtained metabolomic sequencing data. Based on gain-of-function and loss-of-function experiments on the gene, multiple techniques, including qRT-PCR, western blotting, detection of reactive oxygen species (ROS), measurement of mitochondrial membrane potential, EdU assay, flow cytometry, and CCK-8 assay were used to explore the function of the key gene in lipopolysaccharide (LPS)-stimulated bovine endometrial epithelial cells (BEECs). The results identified 536 differentially expressed genes (DEGs) between healthy cows and those with endometritis. These DEGs were significantly enriched in apoptosis and HIF-1 signaling pathways. Weighted gene co-expression network analysis of transcriptomic and metabolomic data identified CD83, CTNNAL1, LRRC25, and NR1H3 as potential key genes for endometritis in dairy cows, with CD83 being more significantly expressed in LPS-induced BEECs. Consequently, in vitro functional studies were performed on CD83. In overexpression experiments, downregulation of the expression of inflammatory markers interleukin (IL)-1β, IL-6, and IL-8 and reduced ROS release primarily indicated the role of CD83 in attenuating the inflammatory response of BEECs. Furthermore, overexpression of CD83 regulated the S/G2 phase transition of BEECs by affecting the mRNA and protein expression of proliferation marker genes, thereby promoting proliferation of BEECs. The increased EdU positivity and the cell proliferation rate further provided evidence for the promotion of cell proliferation after overexpression of CD83. Additionally, overexpression of CD83 attenuated LPS-stimulated mitochondrial damage in BEECs, as well as the downregulation of apoptosis marker gene expression. In contrast, knockdown of CD83 expression showed the opposite trend. In summary, CD83 attenuated the inflammatory response of BEECs, promoted their proliferation, and inhibited apoptosis. This study provided basic data for understanding the mechanisms of endometritis regulation at the gene level in dairy cows.

Identification and multi-dimensional validation of mitochondrial permeability transition-driven necrosis-related model to assess the prognosis and immunotherapy value in breast cancer

BACKGROUND

Breast cancer is a highly prevalent tumor worldwide. Mitochondrial permeability transition (MPT)-driven necrosis is a novel type of cell death induced by mitochondrial membrane disruption. The roles of MPT-driven necrosis in breast cancer remain unclear.

METHODS

Gene expression and clinicopathologic features were extracted from The Cancer Genome Atlas and Gene Expression Omnibus. We performed a genome landscape analysis of MPT-driven necrosis (MPTdn)-related genes, and a consensus clustering analysis was conducted to construct MPTdn clusters. Next, a risk model was established based on the differentially expressed genes related to MPTdn. We grouped and used external data sets to verify the stability of the model. Subsequently, immune correlation analysis, clinical correlation assessment and drug sensitivity analysis were conducted. Finally, candidate genes were validated in the protein and mRNA levels.

RESULTS

A total of 39 MPTdn-related genes were identified in our analysis. Most MPTdn-related genes had different expression levels and somatic mutations in breast cancer, and a close interaction was noted among them. A risk model composed of BCL2A1, SCUBE2, NPY1R and CLIC6 was constructed. The low-risk group had better overall survival and higher immune infiltration levels. All three external data sets achieved excellent predictive efficacy. Finally, the immunohistochemistry results indicated that BCL2A1, SCUBE2, NPY1R and CLIC6 were expressed at significantly lower levels in breast cancer tissues, and the transcriptome sequencing results revealed that BCL2A1 and SCUBE2 mRNA expression levels were greater in the nonrecurrence group.

CONCLUSIONS

We developed a risk model with excellent predictive efficacy based on MPTdn and revealed that BCL2A1, SCUBE2, NPY1R and CLIC6 could be used as the biomarkers, laying a solid foundation for investigations of therapeutic targets of breast cancer.

Integration of machine learning and experimental validation to identify the prognostic signature related to diverse programmed cell deaths in breast cancer

Background

Programmed cell death (PCD) is closely related to the occurrence, development, and treatment of breast cancer. The aim of this study was to investigate the association between various programmed cell death patterns and the prognosis of breast cancer (BRCA) patients.

Methods

The levels of 19 different programmed cell deaths in breast cancer were assessed by ssGSEA analysis, and these PCD scores were summed to obtain the PCDS for each sample. The relationship of PCDS with immune as well as metabolism-related pathways was explored. PCD-associated subtypes were obtained by unsupervised consensus clustering analysis, and differentially expressed genes between subtypes were analyzed. The prognostic signature (PCDRS) were constructed by the best combination of 101 machine learning algorithm combinations, and the C-index of PCDRS was compared with 30 published signatures. In addition, we analyzed PCDRS in relation to immune as well as therapeutic responses. The distribution of genes in different cells was explored by single-cell analysis and spatial transcriptome analysis. Potential drugs targeting key genes were analyzed by Cmap. Finally, the expression levels of key genes in clinical tissues were verified by RT-PCR.

Results

PCDS showed higher levels in cancer compared to normal. Different PCDS groups showed significant differences in immune and metabolism-related pathways. PCDRS, consisting of seven key genes, showed robust predictive ability over other signatures in different datasets. The high PCDRS group had a poorer prognosis and was strongly associated with a cancer-promoting tumor microenvironment. The low PCDRS group exhibited higher levels of anti-cancer immunity and responded better to immune checkpoint inhibitors as well as chemotherapy-related drugs. Clofibrate and imatinib could serve as potential small-molecule complexes targeting SLC7A5 and BCL2A1, respectively. The mRNA expression levels of seven genes were upregulated in clinical cancer tissues.

Conclusion

PCDRS can be used as a biomarker to assess the prognosis and treatment response of BRCA patients, which offers novel insights for prognostic monitoring and treatment personalization of BRCA patients.

Prognosis prediction and risk stratification of breast cancer patients based on a mitochondria-related gene signature

As the malignancy with the highest global incidence, breast cancer represents a significant threat to women's health. Recent advances have shed light on the importance of mitochondrial function in cancer, particularly in metabolic reprogramming within tumors. Recognizing this, we developed a novel risk signature based on mitochondrial-related genes to improve prognosis prediction and risk stratification in breast cancer patients. In this study, transcriptome data and clinical features of breast cancer samples were extracted from two sources: the TCGA, serving as the training set, and the METABRIC, used as the independent validation set. We developed the signature using LASSO-Cox regression and assessed its prognostic efficacy via ROC curves. Furthermore, the signature was integrated with clinical features to create a Nomogram model, whose accuracy was validated through clinical calibration curves and decision curve analysis. To further elucidate prognostic variations between high and low-risk groups, we conducted functional enrichment and immune infiltration analyses. Additionally, the study encompassed a comparison of mutation landscapes and drug sensitivity, providing a comprehensive understanding of the differing characteristics in these groups. Conclusively, we established a risk signature comprising 8 mitochondrial-related genes-ACSL1, ALDH2, MTHFD2, MRPL13, TP53AIP1, SLC1A1, ME3, and BCL2A1. This signature was identified as an independent risk predictor for breast cancer patient survival, exhibiting a significant high hazard ratio (HR = 3.028, 95%CI 2.038-4.499, P < 0.001). Patients in the low-risk group showed a more favorable prognosis, with enhanced immune infiltration, distinct mutation landscapes, and greater sensitivity to anti-tumor drugs. In contrast, the high-risk group exhibited an adverse trend in these aspects. This risk signature represents a novel and effective prognostic indicator, suggesting valuable insights for patient stratification in breast cancer.

BCL2A1 is associated with tumor-associated macrophages and unfavorable prognosis in human gliomas

B-cell lymphoma 2-related protein A1 (BCL2A1) is a member of the BCL-2 family. Previous studies have shown that BCL2A1 is closely related to the tumorigenesis and resistance to chemotherapy of multiple solid tumors, such as breast cancer. However, the expression pattern and potential biological function of BCL2A1 in glioma remain unknown. For the first time, we found that the expression of BCL2A1 was higher in human glioma tissues than in normal brain tissues (NBTs) in both public datasets and an in-house cohort. High BCL2A1 expression was associated with advanced WHO grade, IDH 1/2 wild type and the mesenchymal (ME) subtype, and its overexpression in glioma predicted resistance to temozolomide (TMZ) chemotherapy and unfavorable prognosis. In addition, Gene set enrichment analysis (GSEA), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that BCL2A1 was significantly correlated with the immune response and immune-related pathways, and BCL2A1 expression was positively correlated with microenvironmental parameters (immune, stromal, and ESTIMATE scores) and macrophage infiltration. Interestingly, bioinformatic prediction and immunohistochemical/immunofluorescence staining analysis revealed that BCL2A1 expression was obviously associated with the tumor-associated macrophages (TAMs) markers CD68 and CCL2. Notably, knockdown of BCL2A1 significantly inhibited cell proliferation of U87 and U251 in vitro, induced smaller tumor size and prolonged survival time of mice in vivo. Co-culture experiments of macrophages and GBM cells showed that BCL2A1 knockdown inhibited macrophage migration. Meanwhile, knockdown of BCL2A1 was associated with low expression of CD68 and CCL2 in intracranial xenograft model. This may suggest that BCL2A1 promotes the progression of glioma and influences the prognosis of patients by participating in TAMs infiltration. In conclusion, these findings suggest that BCL2A1 could serve as a promising prognostic indicator and immunotherapy target in gliomas.

The First Cold Atmospheric Plasma Phase I Clinical Trial for the Treatment of Advanced Solid Tumors: A Novel Treatment Arm for Cancer

Local regional recurrence (LRR) remains the primary cause of treatment failure in solid tumors despite advancements in cancer therapies. Canady Helios Cold Plasma (CHCP) is a novel Cold Atmospheric Plasma device that generates an Electromagnetic Field and Reactive Oxygen and Nitrogen Species to induce cancer cell death. In the first FDA-approved Phase I trial (March 2020-April 2021), 20 patients with stage IV or recurrent solid tumors underwent surgical resection combined with intra-operative CHCP treatment. Safety was the primary endpoint; secondary endpoints were non-LRR, survival, cancer cell death, and the preservation of surrounding healthy tissue. CHCP did not impact intraoperative physiological data (p > 0.05) or cause any related adverse events. Overall response rates at 26 months for R0 and R0 with microscopic positive margin (R0-MPM) patients were 69% (95% CI, 19-40%) and 100% (95% CI, 100-100.0%), respectively. Survival rates for R0 (n = 7), R0-MPM (n = 5), R1 (n = 6), and R2 (n = 2) patients at 28 months were 86%, 40%, 67%, and 0%, respectively. The cumulative overall survival rate was 24% at 31 months (n = 20, 95% CI, 5.3-100.0). CHCP treatment combined with surgery is safe, selective towards cancer, and demonstrates exceptional LRR control in R0 and R0-MPM patients. (Clinical Trials identifier: NCT04267575).

Recent advances in cold atmospheric plasma (CAP) for breast cancer therapy

The serious problems of conventional breast cancer therapy strategies such as drug resistance, severe side effects, and lack of selectivity prompted the development of various cold atmospheric plasma (CAP) devices. Due to its advanced technology, CAP can produce a unique environment rich in reactive oxygen and nitrogen species (RONS), photons, charged ions, and an electric field, making it a promising revolutionary platform for cancer therapy. Despite substantial technological successes, CAP-based therapeutic systems are encounter with distinct limitations, including low control of the generated RONS, poor knowledge about its anticancer mechanisms, and challenges concerning designing, manufacturing, clinical translation, and commercialization, which must be resolved. The latest developments in CAP-based therapeutic systems for breast cancer treatment are discussed in this review. More significantly, the integration of CAP-based medicine approaches with other breast cancer therapies, including chemo- and nanotherapy is thoroughly addressed.

Transcriptomic profiles-based approach to decode the role of miR-122 in triple negative breast cancer

miR-122 has been considered both as tumor suppressor miRNA and oncomiR in breast tumor phenotypes. However, the role of miR-122 in triple-negative breast cancer (TNBC) is still unknown. In this study, the clinical value of miR-122 was used to describe the transcriptomic landscape of TNBC tumors obtained from The Cancer Genome Atlas database. Low expression levels of miR-122 were associated with poor overall survival (OS) of TNBC patients than those with higher expression levels of miR-122. We identified gene expression profiles in TNBC tumors expressed lower or higher miR-122. Gene coexpression networks analysis revealed gene modules and hub genes specific to TNBC tumors with low or high miR-122 levels. Gene ontology and KEGG pathways analysis revealed that gene modules in TNBC with gain of miR-122 were related to cell cycle and DNA repair, while in TNBC with loss of miR-122 were enriched in cell cycle, proliferation, apoptosis and activation of cell migration and invasion. The expression of hub genes distinguished TNBC tumors with gain or loss of miR-122 from normal breast tissues. Furthermore, high levels of hub genes were associated with better OS in TNBC patients. Interestingly, the gene coexpression network related to loss of miR-122 were enriched with target genes of miR-122, but this did not observed in those with gain of miR-122. Target genes of miR-122 are oncogenes mainly associated with cell differentiation-related processes. Finally, 75 genes were identified exclusively associated to loss of miR-122, which are also implicated in cell differentiation. In conclusion, miR-122 could act as tumor suppressor by controlling oncogenes in TNBC.

Canady Cold Helios Plasma Reduces Soft Tissue Sarcoma Viability by Inhibiting Proliferation, Disrupting Cell Cycle, and Inducing Apoptosis: A Preliminary Report

Soft tissue sarcomas (STS) are a rare and highly heterogeneous group of solid tumors, originating from various types of connective tissue. Complete removal of STS by surgery is challenging due to the anatomical location of the tumor, which results in tumor recurrence. Additionally, current polychemotherapeutic regimens are highly toxic with no rational survival benefit. Cold atmospheric plasma (CAP) is a novel technology that has demonstrated immense cancer therapeutic potential. Canady Cold Helios Plasma (CHCP) is a device that sprays CAP along the surgical margins to eradicate residual cancer cells after tumor resection. This preliminary study was conducted in vitro prior to in vivo testing in a humanitarian compassionate use case study and an FDA-approved phase 1 clinical trial (IDE G190165). In this study, the authors evaluate the efficacy of CHCP across multiple STS cell lines. CHCP treatment reduced the viability of four different STS cell lines (i.e., fibrosarcoma, synovial sarcoma, rhabdomyosarcoma, and liposarcoma) in a dose-dependent manner by inhibiting proliferation, disrupting cell cycle, and inducing apoptosis-like cell death.