Strategy For Treatment Of Breast Cancer Research Articles

HuR controls glutaminase RNA metabolism

Glutaminase (GLS) is directly related to cell growth and tumor progression, making it a target for cancer treatment. The RNA-binding protein HuR (encoded by the ELAVL1 gene) influences mRNA stability and alternative splicing. Overexpression of ELAVL1 is common in several cancers, including breast cancer. Here we show that HuR regulates GLS mRNA alternative splicing and isoform translation/stability in breast cancer. Elevated ELAVL1 expression correlates with high levels of the glutaminase isoforms C (GAC) and kidney-type (KGA), which are associated with poor patient prognosis. Knocking down ELAVL1 reduces KGA and increases GAC levels, enhances glutamine anaplerosis into the TCA cycle, and drives cells towards glutamine dependence. Furthermore, we show that combining chemical inhibition of GLS with ELAVL1 silencing synergistically decreases breast cancer cell growth and invasion. These findings suggest that dual inhibition of GLS and HuR offers a therapeutic strategy for breast cancer treatment.

Breast Cancer Treatment Strategies Targeting the Tumor Microenvironment: How to Convert “Cold” Tumors to “Hot” Tumors

Breast cancer characterized as “cold tumors” exhibit low levels of immune cell infiltration, which limits the efficacy of conventional immunotherapy. Recent studies have focused on strategies using nanotechnology combined with tumor microenvironment modulation to transform “cold tumors” into “hot tumors”. This approach involves the use of functionalized nanoparticles that target and modify the tumor microenvironment to promote the infiltration and activation of antitumor immune cells. By delivering immune activators or blocking immunosuppressive signals, these nanoparticles activate otherwise dormant immune responses, enhancing tumor immunogenicity and the therapeutic response. These strategies not only promise to increase the response rate of breast cancer patients to existing immunotherapies but also may pave new therapeutic avenues, providing a new direction for the immunotherapy of breast cancer.

In Vitro Assessment of 177Lu-Labeled Trastuzumab-Targeted Mesoporous Carbon@Silica Nanostructure for the Treatment of HER2-Positive Breast Cancer.

This study assessed the effectiveness of a trastuzumab-targeted 177Lu-labeled mesoporous Carbon@Silica nanostructure (DOTA@TRA/MC@Si) for HER2-positive breast cancer treatment, focusing on its uptake, internalization, and efflux in breast cancer cells. The synthesized PEI-MC@Si nanocomposite was reacted with DOTA-NHS-ester, confirmed by the Arsenazo(III) assay. Following this, TRA was conjugated to the DOTA@PEI-MC@Si for targeting. DOTA@PEI-MC@Si and DOTA@TRA/MC@Si nanocomposites were labeled with 177Lu, and their efficacy was evaluated through in vitro radiolabeling experiments. According to the results, the DOTA@TRA/MC@Si nanocomposite was successfully labeled with 177Lu, yielding a radiochemical yield of 93.0 ± 2.4%. In vitro studies revealed a higher uptake of the [177Lu]Lu-DOTA@TRA/MC@Si nanocomposite in HER2-positive SK-BR-3 cells (44.0 ± 4.6% after 24 h) compared to MDA-MB-231 cells (21.0 ± 2.3%). The IC50 values for TRA-dependent uptake in the SK-BR-3 and BT-474 cells were 0.9 µM and 1.3 µM, respectively, indicating affinity toward HER-2 receptor-expressing cells. The lipophilic distribution coefficients of the radiolabeled nanocomposites were determined to be 1.7 ± 0.3 for [177Lu]Lu-DOTA@TRA/MC@Si and 1.5 ± 0.2 for [177Lu]Lu-DOTA@PEI-MC@Si, suggesting sufficient passive transport through the cell membrane and increased accumulation in target tissues. The [177Lu]Lu-DOTA@TRA/MC@Si nanocomposite showed an uptake into HER2-positive cell lines, marking a valuable step toward the development of a nanoparticle-based therapeutic agent for an improved treatment strategy for HER2-positive breast cancer.

Breast Cancer: Multi-b-Value Diffusion Weighted Habitat Imaging in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy

Rationale and ObjectivesThe aim of this study was to ascertain whether the utilization of multiple b-value diffusion-weighted habitat imaging, a technique that depicts tumor heterogeneity, could aid in identifying breast cancer patients who would derive substantial benefit from neoadjuvant chemotherapy (NAC). Materials and MethodsThis prospective study enrolled 143 women (II-III breast cancer), who underwent multi-b-value diffusion-weighted imaging (DWI) in 3-T magnetic resonance (MR) before NAC. The patient cohort was partitioned into a training set (consisting of 100 patients, of which 36 demonstrated a pathologic complete response [pCR]) and a test set (featuring 43 patients, 16 of whom exhibited pCR). Utilizing the training set, predictive models for pCR, were constructed using different parameters: whole-tumor radiomics (ModelWH), diffusion-weighted habitat-imaging (ModelHabitats), conventional MRI features (ModelCF), along with combined models ModelHabitats+CF. The performance of these models was assessed based on the area under the receiver operating characteristic curve (AUC) and calibration slope. ResultsIn the prediction of pCR, ModelWH, ModelHabitats, ModelCF, and ModelHabitats+CF achieved AUCs of 0.733, 0.722, 0.705, and 0.756 respectively, within the training set. These scores corresponded to AUCs of 0.625, 0.801, 0.700, and 0.824 respectively in the test set. The DeLong test revealed no significant difference between ModelWH and ModelHabitats (P = 0.182), between ModelHabitats and ModelHabitats+CF (P = 0.113). ConclusionThe habitat model we developed, incorporating first-order features along with conventional MRI features, has demonstrated accurate predication of pCR prior to NAC. This model holds the potential to augment decision-making processes in personalized treatment strategies for breast cancer.

A Potential Combination of Targeting HSP90 and mTOR in Breast Cancer Cell Growth, Migration, and Invasion Through Inhibiting AKT Phosphorylation and F-actin Organization.

Breast cancer is the most prevalent form of cancer among women worldwide, with a high mortality rate. While the most common cause of breast cancer death is metastasis, there is currently no potential treatment for patients at the metastatic stage. The present study investigated the potential of using a combination of HSP90 and mTOR inhibitor in the treatment of breast cancer cell growth, migration, and invasion. Gene Expression Profiling Interactive Analysis (GEPIA) was used to investigate the gene expression profiles. Western blot analysis and fluorescence staining were used for protein expression and localization, respectively. MTT, wound healing, and transwell invasion assays were used for cell proliferation, migration, and invasion, respectively. GEPIA demonstrated that HSP90 expression was significantly higher in breast invasive carcinoma compared to other tumor types, and this expression correlated with mTOR levels. Treatment with 17-AAG, an HSP90 inhibitor, and Torkinib, an mTORC1/2 inhibitor, significantly inhibited cell proliferation. Moreover, combination treatment led to down-regulation of AKT. Morphological changes revealed a reduction in F-actin intensity, a marked reduction of YAP, with interference in nuclear localization. Targeting HSP90 and mTOR has the potential to suppress breast cancer cell growth and progression by disrupting AKT signaling and inhibiting F-actin polymerization. This combination treatment may hold promise as a therapeutic strategy for breast cancer treatment that ameliorates adverse effects of a single treatment.

Combination of Etoposide and quercetin-loaded solid lipid nanoparticles Potentiates apoptotic effects on MDA-MB-231 breast cancer cells

BackgroundBreast cancer is a major global cancer, for which radiation and chemotherapy are the main treatments. Natural remedies are being studied to reduce the side effects. Etoposide (ETO), a chemo-drug, and quercetin (QC), a phytochemical, are considered potential factors for adaptation to conventional treatments. ObjectivesThe anticancer effect of the synergy between ETO and Quercetin-loaded solid lipid nanoparticles (QC-SLNs), was investigated in MDA-MB-231 cells. MethodsWe developed QC-SLNs for efficient cellular delivery, characterizing their morphology, particle size, and zeta potential. We assessed the cytotoxicity of QC-SLNs and ETO on breast cancer cells via the MTT assay. Effects on apoptosis intensity in MDA-MB-231 cells have been detected utilizing annexin V-FITC, PI, and caspase activities. Real-time PCR assessed Bax gene and Bcl-2 gene fold change expression, while Western blot analysis determined p53 and p21 protein levels. ResultsSpherical, negatively charged QC-SLNs, when combined with ETO, significantly enhanced inhibition of MDA-MB-231 cell proliferation compared to ETO or QC-SLNs alone. The combined treatment also notably increased the apoptosis pathway. QC-SLNs + ETO increased the Bax/Bcl-2 gene ratio, elevated p53 and p21 proteins, and activated caspase 3 and 9 enzymes. These results indicate the potential for QC-SLNs + ETO as a strategy for breast cancer treatment, potentially overcoming ETO-resistant breast cancer chemoresistance. ConclusionThese results suggest that QC-SLN has the potential to have a substantial impact on the breast cancer cure by improving the efficacy of ETO. This enhancement could potentially help overcome chemoresistance observed in ETO-resistant breast cancer.

Fusogenic vesicular stomatitis virus combined with natural killer T cell immunotherapy controls metastatic breast cancer

BackgroundMetastatic breast cancer is a leading cause of cancer death in woman. Current treatment options are often associated with adverse side effects and poor outcomes, demonstrating the need for effective new treatments. Immunotherapies can provide durable outcomes in many cancers; however, limited success has been achieved in metastatic triple negative breast cancer. We tested whether combining different immunotherapies can target metastatic triple negative breast cancer in pre-clinical models.MethodsUsing primary and metastatic 4T1 triple negative mammary carcinoma models, we examined the therapeutic effects of oncolytic vesicular stomatitis virus (VSVΔM51) engineered to express reovirus-derived fusion associated small transmembrane proteins p14 (VSV-p14) or p15 (VSV-p15). These viruses were delivered alone or in combination with natural killer T (NKT) cell activation therapy mediated by adoptive transfer of α-galactosylceramide-loaded dendritic cells.ResultsTreatment of primary 4T1 tumors with VSV-p14 or VSV-p15 alone increased immunogenic tumor cell death, attenuated tumor growth, and enhanced immune cell infiltration and activation compared to control oncolytic virus (VSV-GFP) treatments and untreated mice. When combined with NKT cell activation therapy, oncolytic VSV-p14 and VSV-p15 reduced metastatic lung burden to undetectable levels in all mice and generated immune memory as evidenced by enhanced in vitro recall responses (tumor killing and cytokine production) and impaired tumor growth upon rechallenge.ConclusionCombining NKT cell immunotherapy with enhanced oncolytic virotherapy increased anti-tumor immune targeting of lung metastasis and presents a promising treatment strategy for metastatic breast cancer.

Abstract PS09-09: Multiomics profiling and molecular classification refine precision treatment strategies for HER2-positive breast cancer

Abstract Background: Anti-HER2 targeted therapy has achieved a series of breakthroughs. However, the current treatment strategy regarding HER2-positive breast cancer remains indiscriminate and lacks specificity, which limits the further improvement of overall treatment response and may lead to overtreatment and extra cost for some patients. Our study aims to reveal the molecular heterogeneity of HER2-positive breast cancer to guide a more precise treatment. Patients and methods: We selected HER2-positive breast cancer patients treated at Fudan University Shanghai Cancer Center between 2013 and 2014 and conducted genomic, transcriptomic, proteomic and metabolomic profiling. We then applied a non-negative matrix factorization algorithm on transcriptomic data to obtain an unsupervised classification. And we further studied the correlation between subtypes and corresponding treatment strategies in multiple cohorts of adjuvant and neoadjuvant therapy. For clinical accessibility, we developed convolutional neural network models through deep learning algorithm based on digital pathology to identify different subtypes. Additionally, we explored novel treatment strategies using the patient-derived organoids (PDOs) models. Results: We established a novel multiomics cohort of 180 HER2- breast cancer patients and classified them into four clinically significant molecular subtypes: (1) A classical HER2-enriched (HER2-CLA, N=51) subtype characterized by strong ERBB2 signaling and remarkable sensitivity to anti-HER2-targeted therapy (pathologic complete response with dual-targeted therapy: 93%). (2) an immunomodulatory (HER2-IM, N=36) subtype characterized by an immune-activated microenvironment and excellent prognosis with current treatment (no relapse in 97% of patients with a median follow-up of 86 months). Tumors of this subtype were therefore candidates for de-escalatory treatment. (3) A luminal-like (HER2-LUM, N=55) subtype distinguished by activated estrogen receptor signaling and (4) a basal/mesenchymal-like (HER2-BM, N=38) subtype enriched in activated receptor tyrosine kinase pathways. HER2-LUM and HER2- BM showed limited benefit from anti-HER2 therapy, and thus, add-on therapies might be needed. The overall area under the curve (AUC) of the convolutional neural network model based on digital pathology for identifying different subtypes is 0.77. In the exploration of novel treatment strategies, we found in the PDO model that the HER2-LUM subtype is more sensitive to a treatment regimen combining standard (chemotherapy and targeted therapy) with subsequent endocrine therapy and CDK4/6 inhibitors compared to other subtypes. Additionally, the HER2-BM subtype demonstrated greater sensitivity to treatment with a combination of EGFR inhibitors, PDGFR inhibitors or VEGFR inhibitors. Conclusion: We uncovered a high degree of molecular heterogeneity in HER2-positive breast cancer and illustrated its impact on treatment response. More precise treatment can be given according to the characteristics of different subtypes, which may achieve good efficacy and simultaneously reduce overtreatment and extra cost. The comprehensive profiling of HER2-positive breast cancers could also serve as an important resource for further exploration. Key Words: HER2-positive breast cancer cohort; molecular classification; targeted therapy; precision treatment; de-escalatory treatment. Citation Format: Yu-Wei Li, Ding Ma, Xiang-Rong Wu, Lei-Jie Dai, Shen Zhao, Yu-Zheng Xu, Xi Jin, Xiao Yi, Ying Wang, Cai-Jin Lin, Yi-Fan Zhou, Tong Fu, Wen-Tao Yang, Ming Li, Hong Lv, Yi-Zhou Jiang, Zhi-Ming Shao. Multiomics profiling and molecular classification refine precision treatment strategies for HER2-positive breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS09-09.

Abstract PO2-06-06: Effectiveness and prognostic predictors of primary systemic therapy for de-novo Stage IV breast cancer - Supplementary analysis of JCOG1017 PRIM-BC

Abstract Background The optimal choice of drug is important in treating metastatic breast cancer, and the efficacy of the drug should be determined early, especially in cases of progression. On the other hand, untreated de novo Stage IV (dnST-IV) patients are expected to be more sensitive to drugs, but no detailed data are available. In JCOG1017 (Randomized trial of primary tumor resection in dnST-IV), dnST-IV patients were treated with primary systemic therapy for 3 months according to breast cancer subtypes before randomization. We already presented the results of primary endpoint. Primary tumor resection (PTR) could not significantly prolong the overall survival of de-novo stage IV breast cancer patients with sensitivity to primary systemic therapy. We conducted the supplementary analysis of JCOG1017 to clarify the efficacy of primary systemic therapy for dnST-IV and develop optimal treatment strategies for dnST-IV breast cancer. Methods In JCOG1017, systemic therapy was performed for each subtype/metastatic status as follows; 1) hormone therapy: ER+ HER2- and no life-threatening metastases, 2) weekly PTX therapy: life-threatening metastases, or ER-HER2-, 3) trastuzumab + pertuzumab + docetaxel (HPD) therapy OR trastuzumab + paclitaxel (HPTX) therapy: ER-HER2+. 4) hormone therapy: ER+HER2+ and no life-threatening metastases. The non-PD rate (no increase of more than 10% of the sum of the diameters of the target lesions compared before systemic therapy), the responses rate (cCR or cPR), and overall survival (OS) of responder (cCR or cPR)/non-responder (cSD or cPD) and PD/non-PD were examined. Results Among 569 patients who received primary systemic therapy in JCOG 1017, the non-PD rate was 77.2% and the response rate was 29.0% after 3 months of systemic therapy. By subtype, the non-PD rate was 78.2% for ER-HER2-, 75.4% for ER+HER2-, 92.9% for ER-HER2+, and 66.7% for ER+HER2+. The response rate was 36.4% for ER-HER2-, 13.4% for ER+HER2-, 81.0% for ER-HER2+, and 40.3% for ER+HER2+. In multivariable analysis, the non-PD rate was higher in postmenopausal (odds ratio [OR] 1.673, p=0.0240) and PgR-positive (OR 2.391, p= 0.0019) patients besides subtypes. Analysis results by drug were as follows; 1) hormone therapy (non-PD rate: 72.9%) was more effective for PgR-positive (OR 3.258, p< 0.0001), less effective for patients with visceral metastasis (OR 0.605, p=0.0334) and HER2-positive (OR 0.365, p=0.0016), 2) wPTX (non-PD rate: 76.1%) was no significant predictors of efficacy, 3) HPD/HPTX (non-PD rate: 92.7%) was more effective in patients with visceral metastasis (OR 15.818, p=0.0030). PD patients had much worse OS (hazard ratio [HR] 0.501, p< 0.0001) compared to non-PD, whereas responders had a little worse OS (HR 0.788, p=0.0538) compared to non-responders. Similar tendency was observed in any drug. Discussion Predictors of response to primary systemic therapy differed by subtype, with the need for treatment strategies tailored to PgR, HER2 expression, and the status of visceral metastasis. In the ER+HER2+ group, the efficacy of hormonal therapy alone was low, and combination therapy with molecular-targeted agents was considered necessary. The non-PD rate reflected prognosis in determining the efficacy of primary systemic therapy for dnST-IV. Citation Format: Tadahiko Shien, Akihiko Shimomura, Makoto Ishitobi, Kiyo Tanaka, Takahiro Tsukioki, Takashi Yamanaka, Fumitaka Hara, Kenjiro Aogi, Yasuhiro Yanagita, Michiko Tsuneizumi, Naohito Yamamoto, Hiroshi Matsumoto, Akihiko Suto, Ken-ichi Watanabe, Michiko Harao, Chizuko Kanbayashi, Mitsuya Ito, Keisei Anan, Shigeto Maeda, Keita Sasaki, Gakuto Ogawa, Haruhiko Fukuda, Hiroji Iwata. Effectiveness and prognostic predictors of primary systemic therapy for de-novo Stage IV breast cancer - Supplementary analysis of JCOG1017 PRIM-BC [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-06-06.

Assessment of stromal tumor-infiltrating lymphocytes in neoadjuvant chemotherapy for invasive breast carcinoma: Predictive insights across molecular subtypes

Background and aimsBreast cancer, a leading cause of female mortality, has prompted the widespread adoption of Neoadjuvant chemotherapy (NAC) for its potential to minimize metastasis risk and downstaging tumors. Tumor Infiltrating Lymphocytes (TILs) have emerged as key immunological biomarkers, particularly in breast cancer research. This study focuses on evaluating Stromal TILs (sTILs) in pre-NAC core needle biopsies of Invasive Breast Carcinoma, No Special Type (IBC, NST) and correlating it with NAC response. Materials and methodsA retrospective study spanning three years (October 2020 to September 2023) was conducted in a tertiary care hospital, involving 73 patients meeting specific inclusion criteria. Pathological assessments, including hormone receptor status, molecular subtyping, and TILs evaluation, were performed. Logistic regression and statistical analyses were conducted to determine associations between TILs, clinicopathological parameters, and complete response. ResultsThe study demonstrated excellent discriminatory power of TILs (>10 %) in predicting complete response. Univariate and multivariate logistic regression underscored the independent predictive value of TILs, emphasizing their significance across diverse molecular subtypes. ConclusionThis study provides crucial insights into immune response assessment, particularly sTILs, in optimizing breast cancer treatment strategies and patient outcomes during NAC, contributing to the evolving landscape of personalized emphasising oncology.

Mapping the function of MicroRNAs as a critical regulator of tumor-immune cell communication in breast cancer and potential treatment strategies.

Among women, breast cancer ranks as the most prevalent form of cancer, and the presence of metastases significantly reduces prognosis and diminishes overall survival rates. Gaining insights into the biological mechanisms governing the conversion of cancer cells, their subsequent spread to other areas of the body, and the immune system's monitoring of tumor growth will contribute to the advancement of more efficient and targeted therapies. MicroRNAs (miRNAs) play a critical role in the interaction between tumor cells and immune cells, facilitating tumor cells' evasion of the immune system and promoting cancer progression. Additionally, miRNAs also influence metastasis formation, including the establishment of metastatic sites and the transformation of tumor cells into migratory phenotypes. Specifically, dysregulated expression of these genes has been associated with abnormal expression of oncogenes and tumor suppressor genes, thereby facilitating tumor development. This study aims to provide a concise overview of the significance and function of miRNAs in breast cancer, focusing on their involvement as tumor suppressors in the antitumor immune response and as oncogenes in metastasis formation. Furthermore, miRNAs hold tremendous potential as targets for gene therapy due to their ability to modulate specific pathways that can either promote or suppress carcinogenesis. This perspective highlights the latest strategies developed for miRNA-based therapies.

Exploring a repurposed candidate with dual hIDO1/hTDO2 inhibitory potential for anticancer efficacy identified through pharmacophore-based virtual screening and in vitro evaluation

Discovering effective anti-cancer agents poses a formidable challenge given the limited efficacy of current therapeutic modalities against various cancer types due to intrinsic resistance mechanisms. Cancer immunochemotherapy is an alternative strategy for breast cancer treatment and overcoming cancer resistance. Human Indoleamine 2,3-dioxygenase (hIDO1) and human Tryptophan 2,3-dioxygenase 2 (hTDO2) play pivotal roles in tryptophan metabolism, leading to the generation of kynurenine and other bioactive metabolites. This process facilitates the de novo synthesis of Nicotinamide Dinucleotide (NAD), promoting cancer resistance. This study identified a new dual hIDO1/hTDO2 inhibitor using a drug repurposing strategy of FDA-approved drugs. Herein, we delineate the development of a ligand-based pharmacophore model based on a training set of 12 compounds with reported hIDO1/hTDO2 inhibitory activity. We conducted a pharmacophore search followed by high-throughput virtual screening of 2568 FDA-approved drugs against both enzymes, resulting in ten hits, four of them with high potential of dual inhibitory activity. For further in silico and in vitro biological investigation, the anti-hypercholesterolemic drug Pitavastatin deemed the drug of choice in this study. Molecular dynamics (MD) simulations demonstrated that Pitavastatin forms stable complexes with both hIDO1 and hTDO2 receptors, providing a structural basis for its potential therapeutic efficacy. At nanomolar (nM) concentration, it exhibited remarkable in vitro enzyme inhibitory activity against both examined enzymes. Additionally, Pitavastatin demonstrated potent cytotoxic activity against BT-549, MCF-7, and HepG2 cell lines (IC50 = 16.82, 9.52, and 1.84 µM, respectively). Its anticancer activity was primarily due to the induction of G1/S phase arrest as discovered through cell cycle analysis of HepG2 cancer cells. Ultimately, treating HepG2 cancer cells with Pitavastatin affected significant activation of caspase-3 accompanied by down-regulation of cellular apoptotic biomarkers such as IDO, TDO, STAT3, P21, P27, IL-6, and AhR.

Overexpression of WT1 in all molecular subtypes of breast cancer and its impact on survival: exploring oncogenic and tumor suppressor roles of distinct WT1 isoforms.

Breast cancer is a highly heterogeneous solid tumor, posing challenges in developing targeted therapies effective for all mammary carcinoma subtypes. WT1 emerges as a promising target for breast cancer therapy due to its potential oncogenic role in various cancer types. Previous works have yielded inconsistent results. Therefore, further studies are needed to clarify the behavior of this complex gene in breast cancer. In this study, we examined WT1 expression in both Formalin Fixed Paraffin Embedded breast tumors (n = 41) and healthy adjacent tissues (n = 41) samples from newly diagnosed cases of ductal invasive breast cancer. The fold change in gene expression between the tumor and healthy tissue was determined by calculating 2-∆∆Ct. Disease-free survival analysis was computed using the Kaplan-Meier method. To identify the expression levels of different WT1 isoforms, we explored the ISOexpresso database. Relative quantification of the WT1 gene revealed an overexpression of WT1 in most cases. The percentage of patients surviving free of disease at 8years of follow-up was lower in the group overexpressing WT1 compared to the group with down-regulated WT1. Interestingly, this overexpression was observed in all molecular subtypes of invasive breast cancer, underscoring the significance of WT1 as a potential target in all these subtypes. The observed WT1 down-expression in a few cases of invasive breast cancer, associated with better survival outcomes, may correspond to the down-regulation of a particular WT1-KTS (-) isoform: the WT1 A isoform (EX5-/KTS-). The co-expression of this WT1 oncogenic isoform with a regulated WT1- tumor suppressor isoform, such as the major WT1 F isoform (EX5-/KTS +), could also explain such survival outcomes. Due to its capacity to adopt dual roles, it becomes imperative to conduct individual molecular expression profiling of the WT1 gene. Such an approach holds great promise in the development of personalized treatment strategies for breast cancer.

IL-7R Expression Correlates with Prognosis in Breast Cancer.

The tumor microenvironment (TME) exerts a significant influence on the development, invasion, metastasis, and drug resistance of breast cancer. Therefore, this study sought to investigate potential prognostic factors and markers indicative of TME remodeling in breast cancer, utilizing data from the TCGA database. In this study, transcriptome RNA-seq data from 1222 breast cancer samples were processed using CIBERSORT and ESTIMATE algorithms. We conducted a differential gene expression analysis utilizing COX regression analysis and constructed protein-protein interaction (PPI) networks for enhanced visualization. Through univariate COX analysis and cross-analysis within PPI networks, the Interleukin-7 receptor (IL-7R) emerged as a potential predictor. Subsequently, we performed a comprehensive investigation encompassing single-gene survival analysis, clinical correlation assessment, and GSEA enrichment analysis targeting IL-7R as a core gene associated with prognosis. We examined the expression of IL-7R in human breast cancer and normal breast tissue through clinical studies and cytology experiments, followed by an indepth analysis of the relationship between IL-7R and breast cancer. The survival analysis revealed that breast cancer patients with elevated IL-7R expression experienced prolonged survival compared to those with lower IL-7R levels. Results obtained from the Wilcoxon rank-sum test, along with clinical and cellular experiments, indicated higher IL-7R expression in tumor samples compared to normal samples. Correlation tests conducted between IL-7R expression and clinicopathological stage characteristics highlighted statistically significant associations between IL-7R expression and the T and M stages. Additionally, cell classification analysis of tumor-infiltrating immune cells (TIC) proportion showed that activated CD4+ T cells and CD8 T cells of memory B cells were positively correlated with IL-7R expression. These findings further underscored the impact of IL-7R levels on the tumor microenvironment (TME). IL-7R emerges as a potential prognostic indicator for breast cancer patients, particularly in sustaining the immunoactive status of the tumor microenvironment (TME) and contributing to immune reconstitution. These findings offer novel insights into breast cancer treatment strategies.

Optical controlled and nuclear targeted CECR2 competitor to downregulate CSF-1 for metastatic breast cancer immunotherapy

The crosstalk between breast cancer cells and tumor associated macrophages (TAMs) greatly contributes to tumor progression and immunosuppression. In this work, cat eye syndrome chromosome region candidate 2 (CECR2) is identified to overexpress in breast cancer patients, which can recognize v-rel avian reticuloendotheliosis viral oncogene homolog A (RelA) and activate nuclear factor κB (NF-κB) to release colony stimulating factor-1 (CSF-1). Pharmacological inhibition of CECR2 by the bromodomain competitor (Bromosporine, Bro) can downregulate CSF-1 to inhibit M2 type TAMs. To amplify the immunotherapeutic effect, a chimeric peptide-based and optical controlled CECR2 competitor (designated as N-PB) is constructed to enhance the nuclear targeted delivery of Bro and initiate an immunogenic cell death (ICD). In vivo results indicate a favorable breast cancer targeting ability and primary tumor suppression effect of N-PB under optical irradiation. Importantly, N-PB downregulates CSF-1 by competitive inhibition of CECR2 and NF-κB(RelA) interactions, thus inhibiting immunosuppressive M2-like TAMs while improving the antitumorigenic M1-like phenotype. Ultimately, the systemic anti-tumor immunity is activated to suppress the metastatic breast cancer in an optical controlled manner. This study provides a promising therapeutic target and reliable strategy for metastatic breast cancer treatment by interrupting immunosuppressive crosstalk between tumor cells and macrophages.

Long non‑coding RNA DANCR aggravates breast cancer through the miR‑34c/E2F1 feedback loop.

Emerging scientific evidence has suggested that the long non‑coding (lnc)RNA differentiation antagonizing non‑protein coding RNA (DANCR) serves a significant role in human tumorigenesis and cancer progression; however, the precise mechanism of its function in breast cancer remains to be fully understood. Therefore, the objective of the present study was to manipulate DANCR expression in MCF7 and MDA‑MB‑231 cells using lentiviral vectors to knock down or overexpress DANCR. This manipulation, alongside the analysis of bioinformatics data, was performed to investigate the potential mechanism underlying the role of DANCR in cancer. The mRNA and/or protein expression levels of DANCR, miR‑34c‑5p and E2F transcription factor 1 (E2F1) were assessed using reverse transcription‑quantitative PCR and western blotting, respectively. The interactions between these molecules were validated using chromatin immunoprecipitation and dual‑luciferase reporter assays. Additionally, fluorescence in situ hybridization was used to confirm the subcellular localization of DANCR. Cell proliferation, migration and invasion were determined using 5‑ethynyl‑2'‑deoxyuridine, wound healing and Transwell assays, respectively. The results of the present study demonstrated that DANCR had a regulatory role as a competing endogenous RNA and upregulated the expression of E2F1 by sequestering miR‑34c‑5p in breast cancer cells. Furthermore, E2F1 promoted DANCR transcription by binding to its promoter in breast cancer cells. Notably, the DANCR/miR‑34c‑5p/E2F1 feedback loop enhanced cell proliferation, migration and invasion in breast cancer cells. Thus, these findings suggested that targeting DANCR may potentially provide a promising future therapeutic strategy for breast cancer treatment.

Engineering exosomes to reshape the immune microenvironment in breast cancer: Molecular insights and therapeutic opportunities.

Breast cancer remains a global health challenge, necessitating innovative therapeutic approaches. Immunomodulation and immunotherapy have emerged as promising strategies for breast cancer treatment. Engineered exosomes are the sort of exosomes modified with surface decoration and internal therapeutic molecules. Through suitable modifications, engineered exosomes exhibit the capability to overcome the limitations associated with traditional therapeutic approaches. This ability opens up novel avenues for the development of more effective, personalized, and minimally invasive interventions. In this comprehensive review, we explore the molecular insights and therapeutic potential of engineered exosomes in breast cancer. We discuss the strategies employed for exosome engineering and delve into their molecular mechanisms in reshaping the immune microenvironment of breast cancer. By elucidating the contribution of engineered exosomes to breast cancer immunomodulation, this review underscores the transformative potential of this emerging field for improving breast cancer therapy. Surface modification of exosomes can improve the targeting specificity. The engineered exosome-loaded immunomodulatory cargo regulates the tumour immune microenvironment. Engineered exosomes are involved in the immune regulation of breast cancer.

Association between human epidermal growth factor receptor 2 status, namely low and zero expression, and prognosis in hormone receptor-positive breast cancer: a single-center retrospective study.

The recently developed anti-human epidermal growth factor receptor 2 (HER2) therapy has substantially improved the prognosis of HER2-positive breast cancer. The DESTINY-Breast04 trial results showed that trastuzumab deruxtecan (T-DXd) significantly prolonged the survival of patients with HER2-low breast cancer, thus presenting a paradigm shift in anti-HER2 therapy. This may facilitate a change in the treatment strategy for HER2-low breast cancer. However, the implication of HER2-low in hormone receptor (HR)-positive breast cancer is unclear. In this retrospective study, we aimed to reveal the association between HER2 status, namely HER2-low and HER2-zero, and prognosis in HR-positive breast cancer. We collected the data of 247 patients with estrogen receptor (ER)-positive/HER2-negative breast cancer (159 with HER2-low and 88 with HER2-zero breast cancer) who underwent surgery. Patients were divided into HER2-low and HER2-zero groups. Univariate analysis was performed to evaluate the baseline characteristics using the Wilcoxon rank sum test and Fisher's exact test. Survival analysis of the HER2-low and HER2-zero groups was performed using the Kaplan-Meier method. The median observation period was 2,706 days, and the median period until recurrence was 1,380 days; 25 patients (10%) had recurrences. Age (P=0.004) and menopausal status (P=0.04) were significant variables in the univariate analysis of baseline characteristics. In the subgroup analysis of luminal A- and B-like breast cancers, there was a significant difference in overall survival (OS) only in patients with luminal A-like breast cancer, but relapse-free survival (RFS) of the HER2-low luminal B-like cancer subgroups tended to be relatively short. We inferred that the HER2-low and HER2-zero statuses do not affect the RFS and OS of patients with ER-positive breast cancer. The prognostic significance of HER2-low or HER2-zero status in luminal A- and B-like breast cancers might differ, and a new treatment strategy is required for the HER2-low subgroup.

Abstract 5722: Preclinical activity of CDK4/6 inhibitor alone or in sequential combination with chemotherapy using breast cancer cell line-derived organoid culture

Abstract Breast cancer ranks as the most prevalent cancer globally, with lung and colorectal cancers following closely. Dysregulation of the cyclinD:CDK4/6:Rb axis has been shown to be a common feature in a number of human malignancies, including breast cancer. Targeting this pathway has emerged as a promising strategy for breast cancer treatment. Currently, the U.S. Food and Drug Administration has approved three CDK4/6 inhibitors for advanced hormone receptor-positive, HER2-negative breast cancer, when used in combination with endocrine therapy. However, there are still many breast cancer cases that do not qualify for these criteria and, therefore, do not benefit from CDK4/6 inhibitors prompting investigations into their potential synergy between CDK4/6 inhibitors with chemotherapy. Efforts are currently being made to test the application of these drugs in combination with chemotherapy. Previous studies have demonstrated a synergetic effect of combining CDK4/6 inhibitors and other therapies to treat breast and prostate cancers. While many studies administer these drugs concurrently, our hypothesis proposes a sequential combination approach. This method involves arresting cell cycle at the G0G1 phase using CDK 4/6 inhibitors and then releasing the drug when the cells are more vulnerable to chemotherapy treatment. Such an approach has the potential to expand the application of CDK4/6 inhibitors beyond ER+/HER2- breast cancer. The primary objective of this study is to evaluate the effectiveness of CDK4/6 inhibitors, both alone and in sequential combination with chemotherapy, across a range of breast cancer subtypes. Breast cancer cell lines (MDA-MB-231, HCC70 and T47D) were used in the study. For each cell line, a total of 3x105 cells were seeded in a 6-well plate, and after an overnight incubation, the media was changed with or without a CDK4/6 inhibitor (abemaciclib) and cultured for up to 72 hours. We monitored the drug's efficacy through flow cytometry and cell counting. Abemaciclib suppressed cell proliferation and cell cycle in G0G1 phase in the treated cells compared with the control. The results were similar in both receptor-positive and triple-negative breast cancer cell lines. The effect of abemaciclib was dose-dependent, and reversible at least 48 hours after drug withdrawal, suggesting an opportune time for administering chemotherapy. Future research will delve into investigating the efficacy of sequential treatment with chemotherapy after CDK 4/6 inhibitor withdrawal, utilizing 2D and 3D culture systems. Citation Format: Moses Kamita, Haythem Ali, Evelyn Jiagge, Jessica Bensenhaver, Eleanor Walker. Preclinical activity of CDK4/6 inhibitor alone or in sequential combination with chemotherapy using breast cancer cell line-derived organoid culture [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5722.

Abstract 1149: Spatial transcriptomic analysis of tumor microenvironment in patients with triple negative breast cancer with residual disease after neoadjuvant chemotherapy with immune checkpoint inhibitor

Abstract Recent advance of treatment strategy for triple negative breast cancer (TNBC) including immune checkpoint inhibitor improved survival outcome. Especially, adding pembrolizumab on neoadjuvant chemotherapy (NAC) increased pathologic complete response (pCR) rate at the time of curative surgery. Previous studies suggested that PD-L1 expression in both tumor and immune cells was associated with the response of pembrolizumab in TNBC, but PD-L1 expression state were not associated with pembrolizumab response in NAC setting. In addition, neoadjuvant pembrolizumab increased event-free survival (DFS) rate after NAC even though they had not achieved pCR. However, there were no biomarker for EFS increasement of using pembrolizumab. We designed prospective translational research for evaluating tumor microenvironment (TME) of residual TNBC which had treated with NAC followed by curative surgery. We collected formalin fixed paraffin embedded (FFPE) surgical specimens after NAC with or without pembrolizumab. TNBC samples were used for spatial transcriptomics (ST) analysis, with H&E staining and inspection by an experienced pathologist. Libraries were prepared using Visium Spatial Gene Expression Reagent Kit protocol for FFPE (10x Genomics). Sequencing was conducted on the NovaSeq 6000 System (Illumina). From February 2023 to October 2023, 23 TNBC specimens from 22 patients were collected. Twenty specimens were breast tissues and three were lymph nodes, 18 TNBCs had been treated with NAC with pembrolizumab and four with only NAC, and five had residual cancer burden(RCB) class I, 11 of RCB class II and one of RCB class III. We collected BC and LN samples from BC with class III. Of 23 samples, we performed spatial transcriptomic analysis in 12 samples. In intrinsic subtyping, eight specimens were categorized into normal like, two of basal like and two of luminal A BC subtypes. In TNBC subtyping, mesenchymal stem cell like (MSL) were in six specimens, three of stem cell like (SL), two of luminal androgen receptor (LAR) and one of immunomodulatory (IM). We also performed cell type annotation with unsupervised method and categorized into 11 cell types; three cancer cell types, two macrophages, B and T cells, adipocytes, normal epithelium and perivascular-like and cancer associated fibroblasts. Among these 11 cell types, increasement of immune cells including B cells, T cells and macrophage proportions was associated with pembrolizumab treatment in NAC setting. In our study, we evaluated TME state of TNBC after NAC with or without pembrolizumab. We suggested that MSL or SL TNBC subtypes were associated with residual disease after NAC regardless of pembrolizumab use and pembrolizumab may recruit more immune cells in TME of TNBC. For concreating our suggestion, further analyses would be warranted. Citation Format: Ji-Yeon Kim, Kyunghee Park, Yoon La Choi, Jeong Eon Lee, Byung Joo Chae, Jonghan Yu, Seok Won Kim, Seok Jin Nam, Jin Seok Ahn, Woong-Yang Park, Yeon Hee Park. Spatial transcriptomic analysis of tumor microenvironment in patients with triple negative breast cancer with residual disease after neoadjuvant chemotherapy with immune checkpoint inhibitor [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1149.