MRPL13 is a metastatic and prognostic marker of breast cancer: A silico analysis accompanied with experimental validation.

BACKGROUND: Although progress has been made in accurate diagnosis and targeted treatments, breast cancer (BC) patients with metastasis still present a grim prognosis. With the continuous emergence and development of new personalized and precision medicine targeting specific tumor biomarkers, there is an urgent need to find new metastatic and prognostic biomarkers for BC patients. METHODS: We were dedicated to identifying genes linked to metastasis and prognosis in breast cancer through a combination of in silico analysis and experimental validation. RESULTS: A total of 25 overlap differentially expressed genes were identified. Ten hub genes (namely MRPL13, CTR9, TCEB1, RPLP0, TIMM8B, METTL1, GOLT1B, PLK2, PARL and MANBA) were identified and confirmed. MRPL13, TCEB1 and GOLT1B were shown to be associated with the worse overall survival (OS) and were optionally chosen for further verification by western blot. Only MRPL13 was found associated with cell invasion, and the expression of MRPL13 in metastatic BC was significantly higher than in primary BC. CONCLUSION: We proposed MRPL13 could be a potential novel biomarker for the metastasis and prognosis of breast cancer.

Analysis of the function, mechanism and clinical application prospect of TRPS1, a new marker for breast cancer.

It has been discovered that Trichorhinophalangeal Syndrome-1 (TRPS1), a novel member of the GATA transcription factor family, participates in both normal physiological processes and the development of numerous diseases. Recently, TRPS1 has been identified as a new biomarker to aid in cancer diagnosis and is very common in breast cancer (BC), especially in triple-negative breast cancer (TNBC). In this review, we discussed the structure and function of TRPS1 in various normal cells, focused on its role in tumorigenesis and tumor development, and summarize the research status of TRPS1 in the occurrence and development of BC. We also analyzed the potential use of TRPS1 in guiding clinically personalized precision treatment and the development of targeted drugs.

Deciphering the role of LGALS2: insights into tertiary lymphoid structure-associated dendritic cell activation and immunotherapeutic potential in breast cancer patients.

Recent advances in cancer research have highlighted the pivotal role of tertiary lymphoid structures (TLSs) in modulating immune responses, particularly in breast cancer (BRCA). Here, we performed an integrated analysis of bulk transcriptome data from over 6000 BRCA samples using biological network-based computational strategies and machine learning (ML) methods, and identified LGALS2 as a key marker within TLSs. Single-cell sequencing and spatial transcriptomics uncover the role of LGALS2 in TLS-associated dendritic cells (DCs) stimulation and reveal the complexity of the tumor microenvironment (TME) at both the macro and micro levels. Elevated LGALS2 expression correlates with prolonged survival, which is associated with a robust immune response marked by diverse immune cell infiltration and active anti-tumor pathways leading to a 'hot' tumor microenvironment. The colocalization of LGALS2 with TLS-associated DCs and its role in immune activation in BRCA were confirmed by hematoxylin-eosin (HE), immunohistochemistry (IHC), and in vivo validation analyses. The identification of LGALS2 as a key factor in BRCA not only highlights its therapeutic potential in novel TLS-directed immunotherapy but also opens new avenues in patient stratification and treatment selection, ultimately improving clinical management.

TGF-ß and TNF-α interaction promotes the expression of MMP-9 through H3K36 dimethylation: implications in breast cancer metastasis.

Increased MMP-9 expression in the tumor microenvironment (TME) plays a crucial role in the extracellular matrix remodeling to facilitate cancer invasion and metastasis. However, the mechanism of MMP-9 upregulation in TME remains elusive. Since TGF-ß and TNF-α levels are elevated in TME, we asked whether these two agents interacted to induce/augment MMP-9 expression. Using a well-established MDA-MB-231 breast cancer model, we found that the synergy between TGF-ß and TNF-α led to MMP-9 upregulation at the transcriptional and translational levels, compared to treatments with each agent alone. Our in vitro findings are corroborated by co-expression of elevated MMP-9 with TGF-ß and TNF-α in human breast cancer tissues. Mechanistically, we found that the MMP-9 upregulation driven by TGF-ß/TNF-α cooperativity was attenuated by selective inhibition of the TGF-ßRI/Smad3 pathway. Comparable outcomes were observed upon inhibition of TGF-ß-induced phosphorylation of Smad2/3 and p38. As expected, the cells defective in Smad2/3 or p38-mediated signaling did not exhibit this synergistic induction of MMP-9. Importantly, the inhibition of histone methylation but not acetylation dampened the synergistic MMP-9 expression. Histone modification profiling further identified the H3K36me2 as an epigenetic regulatory mark of this synergy. Moreover, TGF-ß/TNF-α co-stimulation led to increased levels of the transcriptionally permissive dimethylation mark at H3K36 in the MMP-9 promoter. Comparable outcomes were noted in cells deficient in NSD2 histone methyltransferase. In conclusion, our findings support a cooperativity model in which TGF-ß could amplify the TNF-α-mediated MMP-9 production via chromatin remodeling and facilitate breast cancer invasion and metastasis.

Identifying new biomarkers and potential therapeutic targets for breast cancer through the integration of human plasma proteomics: a Mendelian randomization study and colocalization analysis.

Background: The proteome is a crucial reservoir of targets for cancer treatment. While some targeted therapies have been developed, there are still significant challenges in early diagnosis and treatment, highlighting the need to identify new biomarkers and therapeutic targets for breast cancer. Therefore, we conducted a comprehensive proteome-wide Mendelian randomization (MR) study to identify novel biomarkers and potential therapeutic targets for breast cancer. Methods: Protein quantitative trait locus (pQTL) data were extracted from two published plasma proteome-wide association studies. Genetic variants associated with breast cancer were obtained from the Breast Cancer Association Consortium, which included 133,384 cases and 113,789 controls, and the Finnish cohort study, comprising 18,786 cases and 182,927 controls. We employed summary-based MR and colocalization methods to identify potential drug targets for breast cancer, which were subsequently validated using a two-sample MR approach. Finally, a protein-protein interaction (PPI) network was constructed to detect interactions between the identified proteins and existing cancer drug targets. Results: Gene-predicted levels of ten proteins were associated with breast cancer risk. Decreased levels of CASP8, DDX58, CPNE1, ULK3, PARK7, and BTN2A1, as well as increased levels of TNFRSF9, TNXB, DNPH1, and TLR1, were linked to an elevated risk of breast cancer. Among these, CASP8 and DDX58 were supported by tier-one evidence, while CPNE1, ULK3, PARK7, and TNFRSF9 received tier-two evidence support. The remaining proteins, TNXB, BTN2A1, DNPH1, and TLR1, were supported by tier-three evidence. CASP8, DDX58, CPNE1, ULK3, PARK7, and TNFRSF9 have already been identified as targets in drug development and potential therapeutic targets for breast cancer treatment. Additionally, ULK3 showed promise as a prognostic biomarker for breast cancer. Conclusions: The present study identified several novel potential drug targets and biomarkers for breast cancer, providing new insights into its diagnosis and treatment. The integration of PPI and druggability evaluations enhances the prioritization of these therapeutic targets, paving the way for future drug development efforts.

Evaluation of Primary and Recurrent Breast Cancer after Giving Adjuvant Therapy in Correlation with the Receptor Status.

Breast cancer is the most common type of cancer among women. The molecular subtypes of breast cancer, depending on the Estrogen Receptor (ER), Progesterone Receptor (PR) and Human Epidermal Growth Factor Receptor (HER-2) status, usually play a vital role for the adjuvant treatment. Interestingly, there is a good possibility of change of receptor status in the recurrence of same primary tumor. The study is designed April 2018 to March 2019 to see the concordance in triple-receptor expression (ER, PR, and HER-2) between the primary and the locally recurrent breast cancer patient and the results can be able to influence the management and prognosis of the breast cancer patients. This observational study was carried out in the department of surgical oncology, NICRH where total 48 patients were studied who were subjected to core biopsy of recurrent lesion for ER, PR and HER-2 status. A structured case record form was used to interview and collect data. Data analysis was done using SPSS version 26.0 to see concordance and discordance in triple-receptor expression between the primary and the locally recurrent breast cancer patient. Among 48 cases, 12(25.0%), 10(20.83%) and 2(4.16%) patients showed Estrogen Receptor (ER), Progesterone Receptor (PR) and Human Epidermal Growth Factor Receptor (Her-2) discordance that are statistically significant in every receptor status. Majority discordance of ER, PR and Her-2 were associated with invasive duct cell carcinoma (IDC); ER & Her-2 discordance was equally associated with histological grade 2 and 3 whereas PR discordance had significant association with grade 3. Staging of disease showed that all ER, PR and Her-2 discordance were associated with stage (p<0.05). Besides, majority discordance was mostly associated with lumpectomy except Her-2 discordance. Besides, among the adjuvant treatment regimen chemotherapy along with radiotherapy was mostly associated with discordance of all receptors (p<0.05). Estrogen Receptor (ER), Progesterone Receptor (PR) and Human Epidermal Growth Factor Receptor (HER-2) status of primary breast cancer showed 25.0%, 20.83% and 4.16% discordant in recurrent episodes in this study. Invasive duct cell carcinoma, histological grade 2 and 3, stage II, stage III, MRM and CT along with RT are major attributable factors in this study.

Remembering Hypoxia: Uncovering the Long-Term Effects of Transient Oxygen Deprivation on IFN Signaling and Progression of Breast Cancer.

Hypoxia occurs in 90% of solid tumors and is strongly associated with an increased propensity for metastasis. Hypoxia induces tumor progression largely through inducing HIF-mediated transcription, resulting in alterations to tumor cell metabolism, as well as increases in migration and invasion. Hypoxia also results in a myriad of changes to the tumor microenvironment (TME). While many studies have examined the immediate effects of hypoxia on tumor cells and the associated TME, far fewer have focused on the long-term consequences of transient reductions in oxygen. In this issue of Cancer Research, Iriondo and colleagues examined whether short-term exposure to hypoxia leads to a "hypoxic memory" in the context of breast cancer. The authors used established cell lines and circulating tumor cell lines to demonstrate that these cells harbor a hypoxic memory that sustains downregulation of IFN signaling and antigen presentation (AP) pathways that contribute to tumor progression via alterations to tumor cells and the TME. The authors further showed that cells that have experienced hypoxia maintain the reduction in IFN signaling in vivo and are more aggressive. They determined that the hypoxic memory and reduction of IFN signaling can be reversed with a histone deacetylase inhibitor, entinostat, providing a potential means to reverse hypoxia-induced suppression of IFN signaling. As suppression of IFN signaling has the potential to influence both tumor cells and the TME, the identification of a strategy to inhibit long-term suppression of IFN signaling downstream of hypoxia could prove to be an effective means to target tumor progression. See related article by Iriondo et al., p. 3141.

The deubiquitinating enzyme USP11 regulates breast cancer progression by stabilizing PGAM5.

Breast cancer is common worldwide. Phosphoglycerate mutase 5 (PGAM5) belongs to the phosphoglycerate mutase family and plays an important role in many cancers. However, research on its role in breast cancer remains unclear. The present investigation highlights the significant expression of PGAM5 in breast cancer and its essential role in cell proliferation, invasion, apoptosis and the regulation of ferroptosis in breast cancer cells. Overexpression or knockdown of ubiquitin-specific protease 11 (USP11) promotes or inhibits the growth and metastasis of breast cancer cells, respectively, in vitro and in vivo. Mechanistically, USP11 stabilizes PGAM5 via de-ubiquitination, protecting it from proteasome-mediated degradation. In addition, the USP11/PGAM5 complex promotes breast cancer progression by activating iron death-related proteins, indicating that the synergy between USP11 and PGAM5 may serve as a predictor of disease outcome and provide a new treatment strategy for breast cancer.

Exploring angiogenic pathways in breast cancer: Clinicopathologic correlations and prognostic implications based on gene expression profiles from a large-scale genomic dataset.

BACKGROUND: Angiogenesis inhibitors targeting VEGF, or its receptors have consistently produced disappointing clinical outcomes in breast cancer. Therefore, there is an urgent need to explore alternative angiogenic pathways in breast cancer. This study aimed to describe the gene expression of pivotal pro-angiogenic genes in breast cancer and to further analyze the associations with the clinicopathologic tumor features, prognostic factors, and overall survival. Such findings would expand the understanding of the role of different angiogenic pathways in breast cancer pathogenesis and identify patients at risk of more aggressive disease who could be eligible for intense treatment regimens. Additionally, exploring angiogenic pathways helps identify new potential drug targets for breast cancer. METHODS: The mRNA expression levels for eight pro-angiogenic genes [VEGFA, HGF, FGF1, FGF2, ANGPT1, ANGPT2, PDGFA, and PDGFB] were obtained from the METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) dataset available at cBioPortal public domain. Pertinent demographic and tumor information were retrieved. RESULTS: VEGFA and ANGPT2 genes had the highest expression levels with average mRNA log intensities of 7.18±0.7 and 7.11±0.53, respectively. VEGFA expression was not correlated with the expression of other pro-angiogenic genes, the clinicopathologic tumor features, and the overall survival of patients. FGF1, ANGPT1, and PDGFA mRNA levels were negatively correlated with the age of patients at diagnosis. The expression of FGF1 and FGF2 correlated inversely with tumor size and the Nottingham Prognostic Index (p = 0.03 and p = 0.002, respectively). Expression of HGF was significantly associated with advanced tumor stage (p<0.05). Expression of ANGPT1 and ANGPT2 was associated with hormone receptor-negative status and the non-luminal subtypes. PDGFB expression was significantly higher in patients with high-grade disease and HER2-positive status. Patients with high expression status of ANGPT2 and PDGFB had significantly reduced overall survival compared to those with low expression levels of these genes (p = 0.004 and p = 0.0001, respectively). CONCLUSIONS: In this dataset of patients with breast cancer, the expression levels of 8 different pro-angiogenic genes revealed remarkable differences in terms of their association with clinicopathologic tumor characteristics and prognosis. The expression of ANGPTs and PDGFs was associated with adverse tumor features, worse prognosis, and reduced survival in patients. Targeting ANGPTs and PDGF pathways could provide new insights for effective anti-angiogenic drugs in breast cancer.

Anti-tumor potential of high salt in breast Cancer cell lines.

BACKGROUND: Recent 23Na-MRI reports show higher salt deposition in malignant breast tissue than in surrounding normal tissue. The effect of high salt on cancer progression remains controversial. Here, we investigated the direct effect of high salt on breast cancer progression in vitro. METHODS: Here, the impact of high salt on apoptosis, proliferation, cell cycle, adhesion, and migration of MDA-MB-231 and MCF-7 cells was studied using MTT, scratch, and clonogenic assays, as well as RT-PCR and flow cytometry. Gene expression was analyzed using Real-Time PCR and western blotting. The effect of high salt on global transcriptomics changes in MDA MB-231 cells was studied using RNA-sequencing analysis. RESULTS: Flow cytometry with Annexin V and CFSE revealed that high salt-induced dose-dependent apoptosis and inhibited proliferation. High salt-induced cell cycle arrest at the G1/S phase of the cell cycle. p-MDM2 is known to suppress p53, which plays a crucial role in regulating apoptosis and cell cycle arrest under cellular stress conditions. High salt treatment led to decreased p-MDM2 and increased p53 expression, suggesting that high salt induces apoptosis through p53 stabilization. decreased p-MDM2 and increased p53 expression. High salt also reduced migration and adhesion of cells in a dose-dependent manner suggesting its inhibitory effect on metastatic properties as evident from wound healing assay. RNA sequencing analysis revealed overexpression of tumor suppressor genes and genes associated with anti-tumor activity (PCDHGA11, EIF3CL, RAVER1, TNFSF15, RANBP3L) and under-expression of genes involved in cancer-promoting activity (MT1X, CLDN14, CSF-2). CONCLUSION: Our results unequivocally demonstrate the anti-tumor efficacy of high salt against breast cancer cells, suggesting its potential as a therapeutic strategy in cancer treatment.

Miniaturized protein profiling permits targeted signaling pathway analysis in individual circulating tumor cells to improve personalized treatment.

BACKGROUND: Traditional genomic profiling and mutation analysis of single cells like Circulating Tumor Cells (CTCs) fails to capture post-translational and functional alterations of proteins, often leading to limited treatment efficacy. To overcome this gap, we developed a miniaturized 'protein analysis on the single cell level' workflow-baptized ZeptoCTC. It integrates established technologies for single-cell isolation with sensitive Reverse Phase Protein Array (RPPA) analysis, thus enabling the comprehensive assessment of multiple protein expression and activation in individual CTCs. METHODS: The ZeptoCTC workflow involves several critical steps. Firstly, individual cells are labeled and isolated. This is followed by cell lysis and the printing of true single cell lysate preparations onto a ZeptoChip using a modified micromanipulator, CellCelector™. The printed lysates then undergo fluorescence immunoassay RPPA protein detection using a ZeptoReader. Finally, signal quantification is carried out with Image J software, ensuring precise measurement of multiple protein levels. RESULTS: The efficacy of ZeptoCTC was demonstrated through various applications. Initially, it was used for measuring EpCAM protein expression, a standard marker for CTC detection, revealing higher levels in single MCF-7 over MDA-MB-231 tumor cells. Furthermore, in Capivasertib (Akt-inhibitor)-treated MCF-7 single cells, ZeptoCTC detected a 2-fold increase in the pAkt/Akt ratio compared to control cells, and confirmed co-performed bulk-cell western blot analysis results. Notably, when applied to individual CTCs from metastasized breast cancer patients, ZeptoCTC revealed significant differences in protein activation levels, particularly in measured pAkt and pErk levels, compared to patient-matched WBCs. Moreover, it successfully differentiated between CTCs from patients with different Akt1 genotypes, highlighting its potential to determine the activation status of druggable cancer driving proteins for individual and targeted treatment decision making. CONCLUSIONS: The ZeptoCTC workflow represents a valuable tool in single cell cancer research, crucial for personalized medicine. It permits detailed analysis of key proteins and their activation status of targeted, cancer-driven signaling pathways in single cell samples, aiding in understanding tumor response, progression, and treatment efficacy beyond bulk analysis. The method significantly advances clinical investigations in cancer, improving treatment precision and effectiveness. The workflow will be applicable to protein analysis on other types of single cells like relevant in stem cell, neuropathology and hemopoietic cell research.

[Anti-breast cancer effect of a mitochondrion-targeted derivative of ergosterol peroxide in vitro and in vivo].

This study aims to explore the effect and mechanism of a mitochondrion-targeted derivative of ergosterol peroxide(Mito-EP) on breast cancer. The methyl thiazolyl tetrazolium(MTT) assay was employed to examine the proliferation of MDA-MB-231 cells treated with different concentrations(0, 0.075, 0.15, 0.3, 0.6, 1.2, and 2.4 µmol·L~(-1)) of Mito-EP. Cells were grouped for treatment with water(blank control), low, medium, and high concentrations(0.15, 0.3, and 0.6 µmol·L~(-1)) of Mito-EP, and ergosterol peroxide(EP)(0.6 µmol·L~(-1)). After the cells were treated for 48 h, flow cytometry was employed to examine the apoptosis rate, reactive oxygen species(ROS) level, mitochondrial membrane potential, and cell cycle distribution, and the apoptosis, ROS, and mitochondrial membrane potential were observed by laser confocal microscopy. A mouse model bearing subcutaneous xenograft tumor was established by injecting 4T1 cell suspension and used to study the inhibitory effect of Mito-EP on breast cancer. Western blot was employed to determine the protein levels of B-cell lymphoma 2(Bcl-2), Bcl-2-associated X protein(Bax), cytochrome C(Cyt C), cleaved caspase-7, and cleaved caspase-9 in cells and the tumor tissue. The results showed that Mito-EP reduced the proliferation rate of MDA-MB-231 cells in a concentration-dependent manner. Compared with the blank control group, EP(0.6 µmol·L~(-1)) caused slight changes in the apoptosis rate, ROS level, and mitochondrial membrane potential. However, Mito-EP increased the apoptosis rate, elevated the ROS level, decreased mitochondrial membrane potential, up-regulated the protein levels of Bax, Cyt C, cleaved caspase-7, and cleaved caspase-9, and down-regulated the protein level of Bcl-2(all P<0.05). Moreover, Mito-EP reduced the tumor volume and weight. In summary, Mito-EP may promote apoptosis in breast cancer cells by activating the mitochondrial apoptosis pathway.

Synergistic anticancer effects and reduced genotoxicity of silver nanoparticles and tamoxifen in breast cancer cells.

Nanotechnology is emerging as a promising tool to enhance traditional cancer treatments due to rising chemotherapy resistance and the severe side effects of toxic drugs. Silver nanoparticles (AgNPs) are widely acknowledged for their antimicrobial and antiproliferative properties. Given these AgNP characteristics, this research conducts a comprehensive nanotoxicological assessment of strategic combinations involving AgNPs (68 nm) commercial formulation and tamoxifen on MCF-7 and MDA-MB-231 breast tumor cells. Utilizing CompuSyn software, the combination index was determined, revealing a synergistic cytotoxic and antiproliferative effect in AgNPs and tamoxifen combinations (CI < 0.97). Furthermore, this combination impaired cell migration (the scratch zone expanded by over 270%) and significantly increased reactive oxygen species production (up to 96% for MDA-MB-231 and 52% for MCF-7 cells). Surprisingly, the genotoxic effect of these mixtures was minimal (below the allowable genotoxicity index of 1.5). Additionally, both breast tumor cell lines exhibited increased proapoptotic and oxidative stress gene expression following the combined treatment. The internalization of AgNPs into breast cancer cells was observed, enhancing their synergistic antiproliferative effect when combined with tamoxifen. These findings suggest the potential of combining AgNPs with chemotherapeutic agents for innovative studies in oncology therapy.

Comment on "2-methoxyestradiol sensitizes tamoxifen-resistant MCF-7 breast cancer cells via downregulating HIF-1α".

This study investigates the potential of 2-methoxyestradiol (2-ME) to overcome tamoxifen (TAM) resistance in MCF-7 breast cancer cells by downregulating hypoxia-inducible factor 1 alpha (HIF-1α). Through a series of in vitro experiments, the authors demonstrate that combining 2-ME with TAM enhances the cytotoxic effects on resistant cells, increases apoptosis markers, and reduces cholesterol and triglyceride levels. While the findings highlight a promising therapeutic approach, the lack of in vivo or clinical data limits direct clinical application. Future research should focus on validating these results in animal models and exploring long-term efficacy and molecular mechanisms.

A triple hormone receptor ER, AR, and VDR signature is a robust prognosis predictor in breast cancer.

BACKGROUND: Despite evidence indicating the dominance of cell-of-origin signatures in molecular tumor patterns, translating these genome-wide patterns into actionable insights has been challenging. This study introduces breast cancer cell-of-origin signatures that offer significant prognostic value across all breast cancer subtypes and various clinical cohorts, compared to previously developed genomic signatures. METHODS: We previously reported that triple hormone receptor (THR) co-expression patterns of androgen (AR), estrogen (ER), and vitamin D (VDR) receptors are maintained at the protein level in human breast cancers. Here, we developed corresponding mRNA signatures (THR-50 and THR-70) based on these patterns to categorize breast tumors by their THR expression levels. The THR mRNA signatures were evaluated across 56 breast cancer datasets (5040 patients) using Kaplan-Meier survival analysis, Cox proportional hazard regression, and unsupervised clustering. RESULTS: The THR signatures effectively predict both overall and progression-free survival across all evaluated datasets, independent of subtype, grade, or treatment status, suggesting improvement over existing prognostic signatures. Furthermore, they delineate three distinct ER-positive breast cancer subtypes with significant survival in differences-expanding on the conventional two subtypes. Additionally, coupling THR-70 with an immune signature identifies a predominantly ER-negative breast cancer subgroup with a highly favorable prognosis, comparable to ER-positive cases, as well as an ER-negative subgroup with notably poor outcome, characterized by a 15-fold shorter survival. CONCLUSIONS: The THR cell-of-origin signature introduces a novel dimension to breast cancer biology, potentially serving as a robust foundation for integrating additional prognostic biomarkers. These signatures offer utility as a prognostic index for stratifying existing breast cancer subtypes and for de novo classification of breast cancer cases. Moreover, THR signatures may also hold promise in predicting hormone treatment responses targeting AR and/or VDR.

A Non-Canonical p75HER2 Signaling Pathway Underlying Trastuzumab Action and Resistance in Breast Cancer.

Overexpression of HER2 occurs in 25% of breast cancer. Targeting HER2 has proven to be an effective therapeutic strategy for HER2-positive breast cancer. While trastuzumab is the most commonly used HER2 targeting agent, which has significantly improved outcomes, the overall response rate is low. To develop novel therapies to boost trastuzumab efficacy, it is critical to identify the mechanisms underlying trastuzumab action and resistance. We recently showed that the inhibition of breast cancer cell growth by trastuzumab is not through the inhibition of HER2 canonical signaling. Here we report the identification of a novel non-canonical HER2 signaling pathway and its interference by trastuzumab. We showed that HER2 signaled through a non-canonical pathway, regulated intramembrane proteolysis (RIP). In this pathway, HER2 is first cleaved by metalloprotease ADAM10 to produce an extracellular domain (ECD) that is released and the p95HER2 that contains the transmembrane domain (TM) and intracellular domain (ICD). p95HER2, if further cleaved by an intramembrane protease, γ-secretase, produced a soluble ICD p75HER2 with nuclear localization signal (NLS). p75HER2 is phosphorylated and translocated to the nucleus. Nuclear p75HER2 promotes cell proliferation. Trastuzumab targets this non-canonical HER2 pathway via inhibition of the proteolytic cleavage of HER2 by both ADAM10 and γ-secretase. However, p75HER2 pathway also confers resistance to trastuzumab once aberrantly activated. Combination of trastuzumab with ADAM10 and γ-secretase inhibitors completely blocks p75HER2 production in both BT474 and SKBR3 cells. We concluded that HER2 signals through the RIP signaling pathway that promotes cell proliferation and is targeted by trastuzumab. The aberrant HER2 RIP signaling confers resistance to trastuzumab that could be overcome by the application of inhibitors to ADAM10 and γ-secretase.

Prognostic Value of IGFBP6 in Breast Cancer: Focus on Glucometabolism.

IGFBP6, a member of the IGF binding protein (IGFBP) family, is a specific inhibitor of insulin-like growth factor II (IGF-II) and can inhibit the growth of malignant tumors overexpressing IGF-II. Type 2 diabetes (T2D) is a basic disorder of glucose metabolism that can be regulated by IGF-related pathways. We performed bioinformatics analysis of the TCGA database to explore the possible mechanism of IGFBP6 in breast cancer (BC) metabolism and prognosis and collected clinical samples from BC patients with and without T2D to compare and verify the prognostic effect of IGFBP6. In our study, the levels of IGFBP1-6 were positively correlated with overall survival (OS) in patients with breast cancer. IGFBP6 was upregulated in estrogen receptor (ER)-positive BC, and ER-positive and progesterone receptor (PR) positive patients had a higher expression level of IGFBP6 than ER-negative and PR-negative patients. IGFBP6 could be used as an independent prognostic factor in BC. The expression of IGFBP6 was decreased in BC tissue, and BC tissue from patients with T2D had lower IGFBP6 expression levels than BC tissue from patients without T2D. IGFBP6 is mainly involved in the PI3K-Akt and TGF-ß signaling pathways and tumor microenvironment regulation. In terms of metabolism, the expression of IGFBP6 was negatively correlated with that of most glucose metabolism-related genes. IGFBP6 expression was mainly correlated with mutations in TP53, PIK3CA, CDH1, and MAP3K1. In addition, the upregulation of IGFBP6 in BC increased the drug sensitivity to docetaxel, paclitaxel and gemcitabine. Overall, these results indicated that high expression of IGFBP6 is associated with a good prognosis in BC patients, especially in those without T2D. It is not only involved in the maintenance of the tumor microenvironment in BC but also inhibits the energy metabolism of cancer cells through glucose metabolism-related pathways. These findings may provide a new perspective on IGFBP6 as a potential prognostic marker for BC.

Development and validation of a prognostic signature of breast cancer based on drug absorption, distribution, metabolism and excretion (ADME)-related genes.

The individual variation of carcinogenesis and drug response is influenced by the absorption, distribution, metabolism, and excretion (ADME) of drugs. The utilization of signatures derived from ADME-related genes holds potential for predicting prognosis and treatment response across diverse cancer types. Further investigation is required to completely understand the role of ADME-associated genes in breast cancer. A signature was constructed through the application of a least absolute shrinkage and selection operator regression model, employing prognostic differentially expressed genes found in both cancer tissue and normal tissue. To assess the robustness of the signature, verification analyses were carried out. RT-qPCR was utilized for the validation of gene expression related to risk. Subsequently, a nomogram was developed to enhance the clinical utility of our prognostic tool. The ADME signature, comprising four genes, was established and exhibited a robust association with the prognoses of individuals diagnosed with breast cancer. The nomogram was created by fusing the clinicopathological characteristics with the ADME signature. The ADME signature demonstrated remarkable superiority when compared to the performance of the other individual predictors. Additionally, the analysis of the immune microenvironment revealed that the ImmuneScores of the low-risk group were elevated. The variation in both the infiltration of immune cells and the expression of immune-related genes in the tissues differed among the two groups. For patients with breast cancer, the utilization of ADME signatures as biomarkers presents a significant reference point for prognosis and individualized treatment strategies.

Development of miRNA-based PROTACs targeting Lin28 for breast cancer therapy.

Lin28, a highly conserved carcinogenic protein, plays an important role in the generation of cancer stem cells, contributing to the unfavorable prognosis of cancer patients. This RNA binding protein specifically binds to pri/pre-microRNA (miRNA) lethal-7 (let-7), impeding its miRNA maturation. The reduced expression of tumor suppressor miRNA let-7 fosters development and progression-related traits such as proliferation, invasion, metastasis, and drug resistance. We report a series of miRNA-based Lin28A-miRNA proteolysis-targeting chimeras (Lin28A-miRNA-PROTACs) designed to efficiently degrade Lin28A through a ubiquitin-proteasome-dependent mechanism, resulting in up-regulation of mature let-7 family. The augmented levels of matured let-7 miRNAs further exert inhibitory effects on cancer cell proliferation and migration, and increase its sensitivity to chemotherapy. In a mouse ectopic tumor model, Lin28A-miRNA-PROTAC demonstrates a substantial efficacy in inhibiting tumor growth. When combined with tamoxifen, the tumors exhibit gradual regression. This study displays an effective miRNA-based PROTACs to degrade Lin28A and inhibit tumor growth, providing a promising therapeutic avenue for cancer treatment with miRNA-based therapy.