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Benign breast tumors are a nonthreatening condition defined as abnormal cell growth within the breast without the ability to invade nearby tissue. However, benign lesions hold valuable biological information that can lead us toward better understanding of tumor biology. In this study, we have used two pathway analysis algorithms, Pathifier and gene set variation analysis (GSVA), to identify biological differences between normal breast tissue, benign tumors and malignant tumors in our clinical dataset. Our results revealed that one‐third of all pathways that were significantly different between benign and malignant tumors were immune‐related pathways, and 227 of them were validated by both methods and in the METABRIC dataset. Furthermore, five of these pathways (all including genes involved in cytokine and interferon signaling) were related to overall survival in cancer patients in both datasets. The cellular moieties that contribute to immune differences in malignant and benign tumors were analyzed using the deconvolution tool, CIBERSORT. The results showed that levels of some immune cells were specifically higher in benign than in malignant tumors, and this was especially the case for resting dendritic cells and follicular T‐helper cells. Understanding the distinct immune profiles of benign and malignant breast tumors may aid in developing noninvasive diagnostic methods to differentiate between them in the future.

Benign breast tumors are a nonthreatening condition defined as abnormal cell growth within the breast without the ability to invade nearby tissue. However, benign lesions hold valuable biological information that can lead us toward better understanding of tumor biology. In this study, we have used two pathway analysis algorithms, Pathifier and gene set variation analysis (GSVA), to identify biological differences between normal breast tissue, benign tumors and malignant tumors in our clinical dataset. Our results revealed that one‐third of all pathways that were significantly different between benign and malignant tumors were immune‐related pathways, and 227 of them were validated by both methods and in the METABRIC dataset. Furthermore, five of these pathways (all including genes involved in cytokine and interferon signaling) were related to overall survival in cancer patients in both datasets. The cellular moieties that contribute to immune differences in malignant and benign tumors were analyzed using the deconvolution tool, CIBERSORT. The results showed that levels of some immune cells were specifically higher in benign than in malignant tumors, and this was especially the case for resting dendritic cells and follicular T‐helper cells. Understanding the distinct immune profiles of benign and malignant breast tumors may aid in developing noninvasive diagnostic methods to differentiate between them in the future. [ABSTRACT FROM AUTHOR]

Abstract Background Vasculogenic mimicry (VM) is an alternative intratumoral microcirculation system that depends on the capacity of tumor cells to reorganize and grow in three-dimensional (3D) channel architectures like the capillaries formed by endothelial cells. Both VM and angiogenesis may coordinately function to feed cancer cells, allowing tumor growth. Long noncoding RNAs (lncRNAs) regulate critical cellular functions in cancer cells, including cell proliferation, apoptosis, angiogenesis, invasion, and metastasis. The lncRNA, known as actin filament-associated protein 1-antisense RNA 1 (AFAP1-AS1), has been described as an oncogene in diverse types of cancers. However, its role in VM and metastasis in triple-negative breast cancer (TNBC) is unknown. Methods Reverse transcription and quantitative polymerase chain reaction (RT‒qPCR) experiments were performed to evaluate the expression of 10 selected lncRNAs from literature in metastatic and nonmetastatic biopsies from TNBC patients. The expression of AFAP1-AS1 was analyzed in Genotype-Tissue Expression Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) datasets. The AFAP1-AS1 expression was knocked in TNBC Hs578T cells by transfection of specific siRNAs. Channel-like formation assays were performed using 3D cultures over Matrigel in hypoxia-treated Hs578T cancer cells with diminished expression of AFAP1-AS1. The angiogenesis tests were conducted using human umbilical vein endothelial cells (HUVECs) and AFAP1-AS1- silenced Hs578T cells on 3D cell cultures. The presence of VM (CD31-/PAS+) in tumor tissues from TNBC patients with and without metastasis was assessed through immunohistochemistry using endothelial marker CD31 antibodies and periodic acid-Schiff (PAS) staining. Results Compared with normal mammary tissues, AFAP1-AS1 expression was higher in breast cancer tissues. Moreover, AFAP1-AS1 expression was upregulated in the TNBC subtype compared to receptor-positive breast tumors. In addition, the expression of AFAP1-AS1 was correlated with the expression of the thirteen genes characteristic of a previously reported hypoxia signature. Interestingly, AFAP1-AS1 was upregulated in primary TNBC tumors from patients who developed metastasis compared with the nonmetastatic group. Functional analysis revealed that the knockdown of AFAP1-AS1 in Hs578T cells significantly impaired the hypoxia-induced VM, accompanied by a decrease in the development of 3D channel networks. Similarly, AFAP1-AS1 knockdown counteracts the angiogenic potential of cancer cells, as indicated by a reduction in the number of polygons, sprouting cells, and nodes in HUVEC cells. Remarkably, an increase in CD31-/PAS + staining of 3D channel networks in primary breast tumors from metastatic patients was found compared with the nonmetastatic group. Finally, we found that the number of blood vessels increased in the nonmetastatic group more than in the metastatic cohort. Conclusions Our data suggested that AFAP1-AS1 controls both VM and angiogenesis in Hs578T breast cancer cells and that increased metastasis is associated with VM in TNBC patients.

Nanoscale coordination polymer (NCP) is a class of hybrid materials formed by self-assembly of metal ions and organic ligands through coordination. The applications of NCP in biomedicine are quite extensive due to the diversity choice of metal ions and organic ligands. Here we designed Zr-P1 NCP based on Zr4+ selected as metal ion nodes and tetrakis(4-carboxyphenyl) ethylene as bridging ligands. Zr-P1 NCP was modified with functionalized pyrene derived polyethylene glycol (Py-PAA-PEG-Mal) on the surface and further conjugated with cRGD for active targeting of integrin α v β 3 overexpressed in triple-negative breast cancer. Doxorubicin was loaded on Zr-P1 NCP with encapsulation efficiency up to 22 % for the treatment of triple negative breast cancer. 89Zr-P1 NCP can be used for in vivo tumor imaging due to the fluorescence properties resulting from the enhanced aggregation-induced Emission (AIE) behavior of P1 ligands and its positron emission tomography (PET) capability. Cellular evaluation indicated that the functionalized Zr-P1@PEG-RGD presented a good function for tumor cell targeting imaging and doxorubicin could be targeted to triple negative breast cancer when it was loaded onto Zr-P1@PEG-RGD, which corroborated with the in vivo results. In summary, 89Zr-P1@PEG-RGD can serve as a biocompatible nanoplatform for fluorescence and PET image-guided cargo delivery. Nanoscale coordination polymer (NCP) is a class of hybrid materials formed by self-assembly of metal ions and organic ligands through coordination. The diversity of available metals and ligand structures upon NCP synthesis plays an advantage in establishing multimodal imaging platforms. Here we designed 89Zr-P1@PEG-RGD NCP based on Zr4+ selected as metal ion nodes and tetrakis(4-carboxyphenyl) ethylene as bridging ligands. 89Zr-P1@PEG-RGD nanomaterials have positron emission tomography (PET) capability due to the incorporation of zirconium-89, which can be used for in vivo tumor imaging with high sensitivity. The chemotherapeutic drug DOX was loaded on Zr-P1 NCP for the treatment of triple-negative breast cancer, and dual modality imaging can provide visual guidance for drug delivery. [Display omitted] [ABSTRACT FROM AUTHOR]

Abstract Obesity is an important risk factor for breast cancer in women before and after menopause. Adipocytes, key mediators in the tumor microenvironment, play a pivotal role in the relationship between obesity with cancer. However, the potential of dietary components in modulating this relationship remains underexplored. Genistein, a soy-derived isoflavone, has shown promise in reducing breast cancer risk, attenuating obesity-associated inflammation, and improving insulin resistance. However, there are no reports examining whether genistein has the ability to reduce the effects of obesity on breast tumor development. In this study, we constructed a mammary tumor model in ovariectomized obese mice and examined the effects of genistein on body condition and tumor growth. Moreover, the effects of genistein on the tumor microenvironment were examined via experimental observation of peritumoral adipocytes and macrophages. In addition, we further investigated the effect of genistein on adipocyte and breast cancer cell crosstalk via coculture experiments. Our findings indicate that dietary genistein significantly alleviates obesity, systemic inflammation, and metabolic disorders induced by a high-fat diet in ovariectomized mice. Notably, it also inhibits tumor growth in vivo. The impact of genistein extends to the tumor microenvironment, where it reduces the production of cancer-associated adipocytes (CAAs) and the recruitment of M2d-subtype macrophages. In vitro, genistein mitigates the transition of adipocytes into CAAs and inhibits the expression of inflammatory factors by activating PPAR-γ pathway and degrading nuclear NF-κB. Furthermore, it impedes the acquisition of invasive properties and epithelial‒mesenchymal transition in breast cancer cells under CAA-induced inflammation, disrupting the Wnt3a/β-catenin pathway. Intriguingly, the PPAR-γ inhibitor T0070907 counteracted the effects of genistein in the coculture system, underscoring the specificity of its action. Our study revealed that genistein can mitigate the adverse effects of obesity on breast cancer by modulating the tumor microenvironment. These findings provide new insights into how genistein intake and a soy-based diet can reduce breast cancer risk.

Abstract Nowadays, inspired by the great success of Transformers in Natural Language Processing, many applications of Vision Transformers (ViTs) have been investigated in the field of medical image analysis including breast ultrasound (BUS) image segmentation and classification. In this paper, we propose an efficient multi-task framework to segment and classify tumors in BUS images using hybrid convolutional neural networks (CNNs)-ViTs architecture and Multi-Perceptron (MLP)-Mixer. The proposed method uses a two-encoder architecture with EfficientNetV2 backbone and an adapted ViT encoder to extract tumor regions in BUS images. The self-attention (SA) mechanism in the Transformer encoder allows capturing a wide range of high-level and complex features while the EfficientNetV2 encoder preserves local information in image. To fusion the extracted features, a Channel Attention Fusion (CAF) module is introduced. The CAF module selectively emphasizes important features from both encoders, improving the integration of high-level and local information. The resulting feature maps are reconstructed to obtain the segmentation maps using a decoder. Then, our method classifies the segmented tumor regions into benign and malignant using a simple and efficient classifier based on MLP-Mixer, that is applied for the first time, to the best of our knowledge, for the task of lesion classification in BUS images. Experimental results illustrate the outperformance of our framework compared to recent works for the task of segmentation by producing 83.42% in terms of Dice coefficient as well as for the classification with 86% in terms of accuracy.

Objective: Neuroendocrine neoplasms of primary breast tumors are rare compared to locations, such as the respiratory system and gastrointestinal system, where they are frequently observed. The diagnostic criteria for primary neuroendocrine tumors of the breast have been changed since first description. Morphological and immunohistochemical features helpful in their diagnosis, which vary due to the heterogeneous nature of these tumors, are highlighted in this retrospective study. The purpose was to determine specific histopathological features that can identify neuroendocrine morphology in primary breast tumors. Materials and Methods: Cases diagnosed with invasive breast carcinoma from resection materials in a single center between 2011 and 2022 and in which neuroendocrine markers were investigated were included. Demographic information, initial histopathological diagnosis, presence of tumor in another organ, tumor location, size and surgical details of the cases were obtained from the hospital database and pathology reports. The slides were re-evaluated in terms of tumor growth pattern, cribriformity, tubule formation, nuclear features, prominence of nucleoli, palisading and basal location of nuclei, presence of grooves, cytoplasmic features and evidence of cytoplasmic border. Results: The presence of basally located nuclei, absence of tubule formation, inconspicuous nucleoli, fine nuclear chromatin, granular cytoplasm and inconspicuous cytoplasmic borders were frequent findings in tumors with neuroendocrine features (p<0.05). These features may help differentiate primary breast tumors with neuroendocrine features from other breast carcinomas. Conclusion: The histopathological features that are different from the specific features seen in classical neuroendocrine tumors, the absence of specific clinical and radiological findings, the inability to study neuroendocrine markers in every laboratory and the need to prove that the breast tumor is not a metastasis all create diagnostic difficulties for primary breast neuroendocrine neoplasms. We believe that the results of this study may help diagnose and identify more specific histomorphological features that help determine neuroendocrine morphology in primary breast tumors. [ABSTRACT FROM AUTHOR]

Somatic mutational profiling is increasingly being used to identify potential targets for breast cancer. However, limited tumor-sequencing data from Hispanic/Latinas (H/L) are available to guide treatment. To address this gap, we performed whole-exome sequencing (WES) and RNA sequencing on 146 tumors and WES of matched germline DNA from 140 H/L women in California. Tumor intrinsic subtype, somatic mutations, copy-number alterations, and expression profiles of the tumors were characterized and compared with data from tumors of non-Hispanic White (White) women in The Cancer Genome Atlas (TCGA). Eight genes were significantly mutated in the H/L tumors including PIK3CA, TP53, GATA3, MAP3K1, CDH1, CBFB, PTEN, and RUNX1; the prevalence of mutations in these genes was similar to that observed in White women in TCGA. Four previously reported Catalogue of Somatic Mutations in Cancer (COSMIC) mutation signatures (1, 2, 3, 13) were found in the H/L dataset, along with signature 16 that has not been previously reported in other breast cancer datasets. Recurrent amplifications were observed in breast cancer drivers including MYC, FGFR1, CCND1, and ERBB2, as well as a recurrent amplification in 17q11.2 associated with high KIAA0100 gene expression that has been implicated in breast cancer aggressiveness. In conclusion, this study identified a higher prevalence of COSMIC signature 16 and a recurrent copy-number amplification affecting expression of KIAA0100 in breast tumors from H/L compared with White women. These results highlight the necessity of studying underrepresented populations.SignificanceComprehensive characterization of genomic and transcriptomic alterations in breast tumors from Hispanic/Latina patients reveals distinct genetic alterations and signatures, demonstrating the importance of inclusive studies to ensure equitable care for patients. See related commentary by Schmit et al., p. 2443.

Aryel H Ferreira,1– 3,&ast; Fábio LN Marques,4 Caroline C Real,5 Velaphi C Thipe,6,&ast; Lucas F Freitas,1,2 Caroline SA Lima,1,2 Larissa Estessi de Souza,4 Mara S Junqueira,7 Daniele de Paula Faria,4 Gustavo HC Varca,1 Ademar B Lugão,1 Kattesh V Katti6,8,&ast; 1Nuclear and Energy Research Institute, IPEN-CNEN/SP, Sao Paulo, 05508-000, Brazil; 2MackGraphe - Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian University, Sao Paulo, 01302-907, Brazil; 3Mackenzie Evangelical College of Paraná - Mackenzie Presbyterian University, Curitiba-PR, 80730-000, Brazil; 4Laboratory of Nuclear Medicine (LIM-43), Departamento de Radiologia e Oncologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, 05403-911, Brazil; 5Aarhus University, Department of Nuclear Medicine & PET-Centre, Aarhus, Denmark; 6Department of Radiology, Institute of Green Nanotechnology, University of Missouri, Columbia, MO, 65212, USA; 7Center for Translational Research in Oncology, Cancer Institute of the State of Sao Paulo, Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil; 8Department of Biotechnology & Food Technology, University of Johannesburg, Johannesburg, South Africa&ast;These authors contributed equally to this workCorrespondence: Kattesh V Katti, Department of Radiology, Institute of Green Nanotechnology, University of Missouri, Columbia, MO, 65212, USA, Email kattik@health.missouri.edu Aryel H Ferreira, MackGraphe-Mackenzie Institute for Research in Graphene and Nanotechnologies, Mackenzie Presbyterian University, Consolação Street 930, São Paulo, 01302-907, Brazil, Email aryel.ferreira@mackenzie.brBackground: Recent advancements in nanomedicine and nanotechnology have expanded the scope of multifunctional nanostructures, offering innovative solutions for targeted drug delivery and diagnostic agents in oncology and nuclear medicine. Nanoparticles, particularly those derived from natural sources, hold immense potential in overcoming biological barriers to enhance therapeutic efficacy and diagnostic accuracy. Papain, a natural plant protease derived from Carica papaya, emerges as a promising candidate for green nanotechnology-based applications due to its diverse medicinal properties, including anticancer properties.Purpose: This study presents a novel approach in nanomedicine and oncology, exploring the potential of green nanotechnology by developing and evaluating technetium-99m radiolabeled papain nanoparticles (99mTc-P-NPs) for imaging breast tumors. The study aimed to investigate the efficacy and specificity of these nanoparticles in breast cancer models through preclinical in vitro and in vivo assessments.Methods: Papain nanoparticles (P-NPs) were synthesized using a radiation-driven method and underwent thorough characterization, including size, surface morphology, surface charge, and cytotoxicity assessment. Subsequently, P-NPs were radiolabeled with technetium-99m (99mTc), and in vitro and in vivo studies were conducted to evaluate cellular uptake at tumor sites, along with biodistribution, SPECT/CT imaging, autoradiography, and immunohistochemistry assays, using breast cancer models.Results: The synthesized P-NPs exhibited a size mean diameter of 9.3 ± 1.9 nm and a spherical shape. The in vitro cytotoxic activity of native papain and P-NPs showed low cytotoxicity in HUVEC, MDA-MB231, and 4T1 cells. The achieved radiochemical yield was 94.2 ± 3.1% that were sufficiently stable (≥ 90%) for 6 h. The tumor uptake achieved in the 4T1 model was 2.49 ± 0.32% IA/g at 2 h and 1.51 ± 0.20% IA/g at 6 h. In the spontaneous breast cancer model, 1.19 ± 0.20% IA/g at 2 h and 0.86 ± 0.31% IA/g at 6 h. SPECT/CT imaging has shown substantial tumor uptake of the new nanoradiopharmaceutical and clear tumor visualization. 99mTc-P-NPs exhibited a high affinity to tumoral cells confirmed by ex vivo autoradiography and immunohistochemistry assays.Conclusion: The findings underscore the potential of green nanotechnology-driven papain nanoparticles as promising agents for molecular imaging of breast and other tumors through SPECT/CT imaging. The results represent a substantial step forward in the application of papain nanoparticles as carriers of diagnostic and therapeutic radionuclides to deliver diagnostic/therapeutic payloads site-specifically to tumor sites for the development of a new generation of nanoradiopharmaceuticals. Keywords: papain nanoparticle, protein nanoparticle, enzymatic nanoparticle, imaging probe, nanoradiopharmaceuticals

Background: For effective screening of breast cancer patients for candidates for target therapy with alpelisib, it is necessary to identify activating somatic mutations in the PIK3CA gene by allele specific polymerase chain reaction (PCR); this requires that an optimal list of mutations should be compiled. Aim: To determine the spectrum of somatic mutations in the PIK3CA gene in breast cancer tumors by means of high performance sequencing (next generation sequencing, NGS) and to identify their minimal set for clinical diagnostic testing by allele specific PCR. Methods: Targeted NGS was used to identify mutations in the PIK3CA gene in DNA obtained from paraffin blocks with tumor material from 431 patients with HR+HER2- breast cancer. A set of the most common somatic mutations was also detected by allele specific PCR. Results: We have developed a set of reagents and a protocol for targeted NGS of frequently mutating regions of the PIK3CA and ESR1 genes, which was used to analyze samples from 451 HR+/HER2- breast cancer patients. Clinically significant activating mutations in the PIK3CA gene were found in 32.7% of the samples (141/431). The frequency of the mutant allele ranged from 0.15 to 0.65. Six mutations were most common: c.3140AG p.His1047Arg (69), c.1633GA p.Glu545Lys (32), c.1035TA p.Asn345Lys (12), c.1624GA p.Glu542Lys (9), c.3140AT p.His1047Leu (8), Cys420Arg c.1258TC (3). In total, these mutations amounted to 94.3% (133/141). In 3.5% of the samples (15/431), there were clinically significant somatic mutations in the ESR1 gene: c.1613AG p, Asp538Gly (7), c.1610AC p.Tyr537Ser (6), c.1609TA p.Tyr537Asn (1), c.1610AG p.Tyr537Cys (1), causing resistance to hormone therapy in patients with breast cancer. While rare mutations comprised only 5.7% of our sample, we validated a set of reagents to identify the six mutations described above by allele specific PCR. NGS and PCR were completely concordant. Conclusion: PCR testing of activating somatic mutations of the PIK3CA gene meets the requirements for sensitivity ( 90%) and specificity (100%) for a clinical test and can be used in the selection of patients for targeted therapy with PIK3CA inhibitors.

This paper presents a prototype of a portable and modular electrical impedance tomography (EIT) system for breast tumor detection. The proposed system uses MATLAB to generate three-dimensional representations of breast tissue. The modular architecture of the system allows for flexible customization and scalability. It consists of several interconnected modules. Each module can be easily replaced or upgraded, facilitating system maintenance and future enhancements. Testing of the prototype has shown promising results in preliminary screening based on experimental studies. Agar models were used for the experimental stage of this project. The 3D representations provide clinicians with valuable information for accurate diagnosis and treatment planning. Further research and refinement of the system is warranted to validate its performance in future clinical trials. [ABSTRACT FROM AUTHOR]

Objective: Neuroendocrine neoplasms of primary breast tumors are rare compared to locations, such as the respiratory system and gastrointestinal system, where they are frequently observed. The diagnostic criteria for primary neuroendocrine tumors of the breast have been changed since first description. Morphological and immunohistochemical features helpful in their diagnosis, which vary due to the heterogeneous nature of these tumors, are highlighted in this retrospective study. The purpose was to determine specific histopathological features that can identify neuroendocrine morphology in primary breast tumors. Materials and Methods: Cases diagnosed with invasive breast carcinoma from resection materials in a single center between 2011 and 2022 and in which neuroendocrine markers were investigated were included. Demographic information, initial histopathological diagnosis, presence of tumor in another organ, tumor location, size and surgical details of the cases were obtained from the hospital database and pathology reports. The slides were re-evaluated in terms of tumor growth pattern, cribriformity, tubule formation, nuclear features, prominence of nucleoli, palisading and basal location of nuclei, presence of grooves, cytoplasmic features and evidence of cytoplasmic border. Results: The presence of basally located nuclei, absence of tubule formation, inconspicuous nucleoli, fine nuclear chromatin, granular cytoplasm and inconspicuous cytoplasmic borders were frequent findings in tumors with neuroendocrine features (p