Normal Human Breast Tissue Research Articles

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.

Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer.

Tumor-associated macrophages are transcriptionally heterogeneous, but the spatial distribution and cell interactions that shape macrophage tissue roles remain poorly characterized. Here, we spatially resolve five distinct human macrophage populations in normal and malignant human breast and colon tissue and reveal their cellular associations. This spatial map reveals that distinct macrophage populations reside in spatially segregated micro-environmental niches with conserved cellular compositions that are repeated across healthy and diseased tissue. We show that IL4I1+ macrophages phagocytose dying cells in areas with high cell turnover and predict good outcome in colon cancer. In contrast, SPP1+ macrophages are enriched in hypoxic and necrotic tumor regions and portend worse outcome in colon cancer. A subset of FOLR2+ macrophages is embedded in plasma cell niches. NLRP3+ macrophages co-localize with neutrophils and activate an inflammasome in tumors. Our findings indicate that a limited number of unique human macrophage niches function as fundamental building blocks in tissue. Significance: This work broadens our understanding of the distinct roles different macrophage populations may exert on cancer growth and reveals potential predictive markers and macrophage population-specific therapy targets.

Compressed sensing of human breast optical coherence 3-D image volume data using predictive coding.

There are clinical needs for optical coherence tomography (OCT) of large areas within a short period of time, such as imaging resected breast tissue for the evaluation of cancer. We report on the use of denoising predictive coding (DN-PC), a novel compressed sensing (CS) algorithm for reconstruction of OCT volumes of human normal breast and breast cancer tissue. The DN-PC algorithm has been rewritten to allow for computational parallelization and efficient memory transfer, resulting in a net reduction of computation time by a factor of 20. We compress image volumes at decreasing A-line sampling rates to evaluate a relation between reconstruction behavior and image features of breast tissue.

DNAJB4 suppresses breast cancer progression and promotes tumor immunity by regulating the Hippo signaling pathway

PurposeBreast cancer is the most common cancer worldwide. Low DNAJB4 expression levels are strongly correlated with poor prognosis in breast cancer patients. However, the molecular mechanism by which DNAJB4 regulates breast cancer progression is unclear.MethodsThe expression of DNAJB4 was validated in human breast cancer tissues, normal human breast tissues, and breast cancer cell lines. CCK-8, colony-forming, and wound healing assays were used to assess the biological effect of DNAJB4 overexpression on cell proliferation and migration in MCF-7 cell lines. Bioinformatic analysis was used to identify the DNAJB4 related pathways in breast cancer. Epithelial-mesenchymal transition (EMT)-related biomarkers and Hippo pathway components were quantified by Western blots. Luciferase and Western blot assays were used to validate which miRNA regulates DNAJB4. In addition, the effects of DNAJB4 on in vivo tumor growth were assessed in xenograft models.ResultsDNAJB4 was expressed at low levels in human breast cancer tissues and breast cancer cell lines and correlated with poor prognosis. DNAJB4 overexpression significantly inhibited cell proliferation and migration in vitro by activating the Hippo pathway. The dual-luciferase assay showed that hsa-miR-183-5p targeted DNAJB4. Moreover, the effects of DNAJB4 could be reversed by miR-183-5p. In addition, the expression of DNAJB4 was strongly correlated with immune infiltration levels. Notably, DNAJB4 overexpression markedly enhanced CD4 + and CD8 + T cells and reduced PD-L1 levels in 4T1 tumors via the Hippo pathway, which retarded tumor growth in a subcutaneous xenograft tumor mouse model of 4T1 cells.ConclusionsThe present study demonstrated that DNAJB4 overexpression inhibited the malignant biological behavior of breast cancer by regulating the Hippo pathway and tumor immunosuppressive environment.

Survivin Expression in Luminal Breast Cancer and Adjacent Normal Tissue for Immuno-Oncology Applications.

Survivin (BIRC5) is a tumor-associated antigen (TAA) overexpressed in various tumors but present at low to undetectable levels in normal tissue. Survivin is known to have a high expression in breast cancer (e.g., Ductal Carcinoma in situ (DCIS) and triple negative breast cancer). Previous studies have not compared survivin expression levels in DCIS tumor samples to levels in adjacent, normal breast tissue from the same patient. To ensure the effective use of survivin as a target for T cell immunotherapy of breast cancer, it is essential to ascertain the varying levels of survivin expression between DCIS tumor tissue samples and the adjacent normal breast tissue taken from the same patient simultaneously. Next-generation sequencing of RNA (RNA-seq) in normal breast tissue and tumor breast tissue from five women presenting with DCIS for lumpectomy was used to identify sequence variation and expression levels of survivin. The identity of both tumor and adjacent normal tissue samples were corroborated by histopathology. Survivin was overexpressed in human breast tissue tumor samples relative to the corresponding adjacent human normal breast tissue. Wild-type survivin transcripts were the predominant species identified in all tumor tissue sequenced. This study demonstrates upregulated expression of wild type survivin in DCIS tumor tissue versus normal breast tissue taken from the same patient at the same time, and provides evidence that developing selective cytotoxic T lymphocyte (CTL) immunotherapy for DCIS targeting survivin warrants further study.

Single cell profiling of female breast fibroadenoma reveals distinct epithelial cell compositions and therapeutic targets

Fibroadenomas (FAs) are the most common breast tumors in women. No pharmacological agents are currently approved for FA intervention owing to its unclear mechanisms and a shortage of reproducible human models. Here, using single-cell RNA sequencing of human FAs and normal breast tissues, we observe distinct cellular composition and epithelial structural changes in FAs. Interestingly, epithelial cells exhibit hormone-responsive functional signatures and synchronous activation of estrogen-sensitive and hormone-resistant mechanisms (ERBB2, BCL2 and CCND1 pathways). We develop a human expandable FA organoid system and observe that most organoids seem to be resistant to tamoxifen. Individualized combinations of tamoxifen with ERBB2, BCL2 or CCND1 inhibitors could significantly suppress the viability of tamoxifen-resistant organoids. Thus, our study presents an overview of human FA at single-cell resolution that outlines the structural and functional differences between FA and normal breast epithelium and, in particular, provides a potential therapeutic strategy for breast FAs.

Single-cell atlas reveals a distinct immune profile fostered by Tcell-Bcell crosstalk in triple negative breast cancer.

Characterizing the unique immune microenvironment of each tumor is of great importance for better predicting prognosis and guiding cancer immunotherapy. However, the unique features of the immune microenvironment of triple negative breast cancer (TNBC) compared with other subtypes of breast cancer remain elusive. Therefore, we aimed to depict and compare the immune landscape among TNBC, human epidermal growth factor receptor 2-positive (HER2+ ) breast cancer, and luminal-like breast cancer. Single-cell RNA sequencing (scRNA-seq) was performed on CD45+ immune cells isolated from human normal breast tissues and primary breast tumors of various subtypes. By analyzing the scRNA-seq data, immune cell clusters were identified and their proportions as well as transcriptome features were compared among TNBC, human HER2+ breast cancer, and luminal-like breast cancer. Pseudotime and cell-cell communication analyses were also conducted to characterize the immune microenvironment. ScRNA-seq data of 117,958 immune cells were obtained and 31 immune clusters were identified. A unique immunosuppressive microenvironment in TNBC was decoded as compared to that in HER2+ or luminal-like breast cancer, which was characterized by higher proportions of regulatory Tcells (Tregs) and exhausted CD8+ Tcells and accompanied by more abundant plasma cells. Tregs and exhausted CD8+ Tcells in TNBC exhibited increased immunosuppression signature and dysfunctional scores. Pseudotime analyses showed that Bcells tended to differentiate to plasma cells in TNBC. Cell-cell communication analyses indicated that these unique features are fostered by the diversified Tcell-Bcell crosstalk in TNBC. Based on the Tcell-Bcell crosstalk, a prognostic signature was established that could effectively predict the prognosis status for patients with TNBC. Additionally, it was found that TNBC had a higher proportion of cytotoxic natural killer (NK) cells, whereas HER2+ or luminal-like breast cancer lost this feature, suggesting that HER2+ or luminal-like breast cancer, but not TNBC, may benefit from NK-based immunotherapy. This study identified a distinct immune feature fostered by Tcell-Bcell crosstalk in TNBC, which provides better prognostic information and effective therapeutic targets for breast cancer.

Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue in vivo.

Breast density and exposure to sex steroids are major risk factors for breast cancer. The local microenvironment plays an essential role in progression of breast cancer. Metabolic adaption is a major hallmark of cancer. Whether proteins from the extracellular space regulating metabolism are affected in breast cancer, dense breasts or by estrogen exposure are not yet fully elucidated. Women with breast cancer, postmenopausal women with normal breast tissue with varying breast density or premenopausal women with breasts exposed to high levels of estradiol were included in the study. Microdialysis was used to collect proteins from the extracellular space in vivo in 73 women; 12 with breast cancer, 42 healthy postmenopausal women with different breast densities, and 19 healthy premenopausal women. Breast density was determined as lean tissue fraction (LTF) using magnetic resonance imaging. Data were evaluated in a murine breast cancer model. We quantified a panel of 92 key proteins regulating metabolism using proximity extension assay. We report that 29 proteins were upregulated in human breast cancer. In dense breasts 37 proteins were upregulated and 17 of these were similarly regulated as in breast cancer. 32 proteins correlated with LTF. In premenopausal breasts 19 proteins were up-regulated and 9 down-regulated. Of these, 27 correlated to estradiol, a result that was confirmed for most proteins in experimental breast cancer. Only two proteins, pro-cathepsin H and galanin peptide, were similarly regulated in breast cancer, dense- and estrogen exposed breasts. Metabolic proteins may be targetable for breast cancer prevention. Depending on risk factor, this may, however, require different approaches as breast density and estradiol induce distinct different expression patterns in the breast. Additionally, metabolic proteins from the extracellular space may indeed be further explored as therapeutic targets for breast cancer treatment.

Abstract PD4-08: PD4-08 A Novel Single Cell Model of Tamoxifen Response in Primary Human Breast Tumors

Abstract A Novel Single Cell Model of Tamoxifen Response in Primary Human Breast Tumors Austin Whitman, Hyunsoo Kim, Kamila Wisniewska, Rasha Kakati, Susana Garcia Recio, Hector Franco, Charles Perou, Philip Spanheimer Background: Resistance to endocrine therapy is a primary cause of treatment failure and death in patients with estrogen receptor (ER)-positive breast cancer. Intratumor heterogeneity is associated with resistance to therapy across tumors, and specifically in ER+/HER2- breast cancer, heterogeneity in ER and PR expression is associated with a worse response to endocrine therapy. We hypothesize that subpopulations within and across ER+/HER2- human breast tumors have distinct responses to tamoxifen and that discerning heterogeneity in response will improve understanding of inherent and emerging resistance to endocrine therapy. Methods: We developed an operating room-to-laboratory pipeline immediately after surgical resection for studies using alive tissue. Tissue samples were obtained and single cell suspensions created using physical and enzymatic dissociation. Cells were treated with tamoxifen (10 M) or control media for 12 hours in suspension and single cell RNA libraries generated using the 10X Genomics droplet-based kit and sequenced using the Illumina NextSeq2000. Results: We obtained normal breast tissue from 2 women undergoing reduction mammoplasty and tumor tissue from 10 women with ER+/HER2- invasive breast carcinoma. In tamoxifen treated and control matched pairs, a total of 22,195 cells from normal breast and 94,558 cells from tumor samples were sequenced. Computational analysis using consensus clustering was performed and cell types assigned using canonical correlation. Both tumor and normal samples identified clustering by cell type and not by patient revealing significant variability in cell type abundance between samples. In the normal breast samples, we performed differentially expressed genes (DEG) analysis comparing tamoxifen treatment to control for each cell type (Immune cells, fibroblasts, basal epithelial cells, luminal progenitor cells, and mature luminal cells) and enrichment analysis of up- and down-regulated genes performed. Strong depletion of estrogen induced genes was observed in tamoxifen-treated normal luminal progenitor and mature luminal cells, but not in basal epithelial cells or fibroblasts, demonstrating distinct, subpopulation-specific response to tamoxifen. In the 10 tumor matched pairs, 4 had a high epithelial proportion and tumor cells identified using inferred copy number variation. Tumor cells in 3 of these 4 samples showed significant down regulation of estrogen response genes with tamoxifen treatment. Using scBCSubtype to assign PAM50 subtype to individual tumor cells, the 3 responsive tumors were comprised primarily of LumA cells while the unresponsive tumor was predominantly LumB. Finally, we developed a novel score to quantify responsiveness at the single cell level based on downregulation of estrogen response genes with tamoxifen treatment relative to matched cluster-specific untreated expression. This analysis demonstrated heterogeneity in response to tamoxifen in tumor cells and identified distinct subpopulations of responsive and unresponsive tumor cells to tamoxifen treatment. Conclusion: We developed a novel ex vivo model to determine heterogeneity in therapeutic response to tamoxifen in normal human breast tissue and primary human breast tumors. We demonstrate differences in tamoxifen response by cell type and identify distinctly responsive and resistant subpopulations within human tumors. This provides a foundation to define features of responsive and resistant populations on the individual cell and specimen basis, and should allow us to develop precise, single cell-based predictors of response to endocrine therapy, and to identify genes and pathways driving resistance to therapy. Citation Format: Hyunsoo Kim, Austin Whitman, Kamila Wisniewska, Susana Garcia-Recio, Rasha Kakati, Hector L. Franco, Charles M. Perou, Philip Spanheimer. PD4-08 A Novel Single Cell Model of Tamoxifen Response in Primary Human Breast Tumors [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD4-08.

Comparison of mammosphere formation from stem-like cells of normal breast, malignant primary breast tumors, and MCF-7 cell line

BackgroundMammosphere formation assay has become a versatile tool to quantify the activity of putative breast cancer stem cells in non-adherent in vitro cultures. However, optimizing the suspension culture system is crucial to establish mammosphere cultures from primary breast tumors.MethodsThis study aimed at determining the self-renewal and sphere-forming potential of breast cancer stem-like cells derived from human primary invasive ductal carcinoma and normal breast tissue samples, and MCF-7 breast cancer cell line using an optimal suspension culture system. Mammosphere-forming efficiency of the mammospheres generated from the tissue samples and cell line were compared. We evaluated the expression of CD44+/CD24−/low and CD49f+/EpCAM−/low phenotypes in the stem-like cells by flow cytometry. CK-18, CK-19, α-SMA, and EpCAM marker expression was assessed using immunohistochemical staining.ResultsBreast epithelial cells isolated from the three samples formed two-dimensional spheroids in suspension cultures. Interestingly, mammospheres formed from patient-derived primary breast tumors were enriched in breast cancer stem-like cells with the phenotype CD44+/CD24−/low and exhibited a relatively more number of large spheres when compared to the normal breast stem cells. MCF-7-derived SCs were more aggressive and resulted in the formation of a significantly higher number of spheroids. The expression of CK-18/CK-19 and α-SMA/EpCAM proteins was confirmed in breast cancer tissues.ConclusionsThus, the use of primary tumor specimens and breast cancer cell lines as suitable models for elucidating the breast cancer stem cell activity was validated using mammosphere culture system.

Breast cancer prevention by short-term inhibition of TGFβ signaling

Cancer prevention has a profound impact on cancer-associated mortality and morbidity. We previously identified TGFβ signaling as a candidate regulator of mammary epithelial cells associated with breast cancer risk. Here, we show that short-term TGFBR inhibitor (TGFBRi) treatment of peripubertal ACI inbred and Sprague Dawley outbred rats induces lasting changes and prevents estrogen- and carcinogen-induced mammary tumors, respectively. We identify TGFBRi-responsive cell populations by single cell RNA-sequencing, including a unique epithelial subpopulation designated secretory basal cells (SBCs) with progenitor features. We detect SBCs in normal human breast tissues and find them to be associated with breast cancer risk. Interactome analysis identifies SBCs as the most interactive cell population and the main source of insulin-IGF signaling. Accordingly, inhibition of TGFBR and IGF1R decrease proliferation of organoid cultures. Our results reveal a critical role for TGFβ in regulating mammary epithelial cells relevant to breast cancer and serve as a proof-of-principle cancer prevention strategy.

Obesity Influences the Expression of Key Immunomodulators in Normal Human Breast Tissue, Basal-like Breast Cancer Patients, and Cell Lines.

Among the different components of the breast cancer microenvironment are adipocytes, which are mainly composed of differentiated adipocytes and adipose progenitors. The role of obesity in tumor progression has become a key topic in clinical studies, but the mechanics of this are still misunderstood. There is significant evidence of serum amyloid (SAA1), an acute-phase protein, being heavily expressed in inflamed, septic conditions. VTCN1 and VSIR, members of the immunoglobulin family, are key players in T-cell regulation. The present study investigates the differentially expressed genes caused by adipose-conditioned media on the novel triple-negative breast cancer cell lines MDA MB 231 and MDA MB 468. RNA sequencing of adipocyte-conditioned media (ACM)-treated MDA MB 231 and MDA MB 468 cells were analyzed and compared using the gene sequencing enrichment analysis database (GSEA). GSEA was also done on microarray data from obese, non-tumorous breast tissue patients (GSE:33526) to show significantly upregulated immunomodulators. Obesity was also shown to influence gene expression related to immune sensing and evasion in a dataset analysis of basal-like obese patients (GSE:79858). We showed obesity significantly upregulated immunomodulators related to immune suppression in non-tumorous, basal-like patients, as well as in novel basal-like TNBC cell lines.

Abstract 2023: Spatial transcriptomic evidence for an inflammatory, pro tumorigenic microenvironment in normal human dense breast tissue

Abstract Breast cancer affects over 2,000,000 women worldwide, with more than 680,000 deaths per year. Increased breast density is one of the risk factors for breast cancer, albeit less than the risk associated with increased age and genetic mutation. It has been suggested that high breast density accounts for 15% of the breast cancers diagnosed. On radiographic examination, breast density appears as opaque regions associated with increased cellularity and matrix, which in some circumstances contribute to difficulty observing small tumors. Dense regions in the breast have been associated with both morphological changes as well as molecular changes in the tissue. How these changes may play a role in increased risk for tumorigenesis are not well described. In this study, we examine the partial spatial transcriptomes of specific regions in normal breast tissue containing dense regions, including regions of normal density, the interface of dense and non-dense regions and the dense regions themselves using the GeoMx Digital Spatial Profiling system (DSP). Multi-label immunofluorescence was used to distinguish tissue morphology in FFPE samples from two health patients. We selected 24 regions of interest (ROIs) from each tissue section included dense, interface and non-dense breast. Using barcoded DNA oligos attached in situ hybridization probes (for RNA) via ultraviolet (UV)- photocleavable linkers, we screened over 1800 genes from Cancer Transcriptome Atlas panel. Our results indicated an elevated expression of CD68 and CD33, markers for macrophages and myeloid-derived suppressor cells (MDSCs) in dense breast regions as compared to the non-dense areas. Identifying markers for myeloid lineage cells was followed by an increased expression of the genes EOMES, TIGIT and RORA, which are engaged in the immunosuppressive phenotype. This could be hypothesized to support a pro-tumorigenesis microenvironment preventing T cells from recognizing newly arisen tumor cells. In addition, we also observed a significant expression of cytokines (IL12A and IL26) and chemokines (CCL19 and CXCL10) in the dense breast, which are involved in the regulation of inflammatory response and chemotaxis of monocytes and T-lymphocytes cells. Both CCL19 and IL26 have been demonstrated to play a role in cell proliferation. Thus, these initial studies suggest that the dense breast microenvironment is potentially a pro-tumorigenic environment that, with sufficient factors, gives rise to tumorigenesis. These data also suggest potential nodes of therapeutic intervention that may lower such risk. Citation Format: Ana Karina de Oliveira, Patcharin Pramoonjago, Christopher A. Moskaluk, Jay W. Fox. Spatial transcriptomic evidence for an inflammatory, pro tumorigenic microenvironment in normal human dense breast tissue [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2023.

Mining the prognostic significance and immune infiltration of STAT family members in human breast cancer by bioinformatics analysis

Growing evidence proved that signal transducer and activators of transcription (STAT) proteins are cytoplasmic transcription factors known to play key roles in many cellular biological processes and may be prognostic predictors of some cancers. However, the role of each STAT family members in breast cancer (BRCA) is diverse and controversial. This study aimed to systematic mine the prognostic significance and immune infiltration of STAT family member in human BRCA. Based on The Cancer Genome Atlas (TCGA) database, we used the Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA) and The Human Protein Atlas to analyze the expression of STAT family members in normal human breast and tumor tissues. The Kaplan-Meier Plotter, GEPIA and PrognoScan were utilized to assess the prognostic value of different STATs in BRCA. Then we used the cBioPortal, STRING, GeneMANIA and Metascape to make further mutation analysis, protein-protein interaction (PPI) analysis and subsequent functional enrichment analysis. Finally, the "ESTIMATE" and "ggcorrplot" package of R 17 software were used for immune infiltration analysis. STAT2 [P<0.01, hazard ratio (HR) =1.23, 95% confidence interval (CI): 1.07-1.42] and STAT3 (P=0.018, HR =0.69, 95% CI: 0.51-0.94) could be an independent risk factor for predicting overall survival (OS). STAT4 could be used as an independent predictor of distant metastasis-free survival in BRCA based on both GSE19615 (P=0.021, HR =0.21, 95% CI: 0.06-0.79) and GSE2034 (P=0.015, HR =0.57, 95% CI: 0.37-0.90) datasets. Meanwhile, STAT5A, STAT5B and STAT6 also have been shown to independently predict the prognosis of BRCA. Additionally, the functional mechanisms of STAT4 co-expressed genes were mainly focused on immune-related pathways and its expression was associated with immune checkpoint-associated genes and immunomodulators in BRCA. Our study mined the prognostic significance of STAT family members in BRCA and their correlation with immune infiltration. The results suggest that individual STATs, except STAT1, may act as a prognostic biomarker for BRCA and provide a reference for further potential immunotherapies.

R code and downstream analysis objects for the scRNA-seq atlas of normal and tumorigenic human breast tissue

Breast cancer is a common and highly heterogeneous disease. Understanding cellular diversity in the mammary gland and its surrounding micro-environment across different states can provide insight into cancer development in the human breast. Recently, we published a large-scale single-cell RNA expression atlas of the human breast spanning normal, preneoplastic and tumorigenic states. Single-cell expression profiles of nearly 430,000 cells were obtained from 69 distinct surgical tissue specimens from 55 patients. This article extends the study by providing quality filtering thresholds, downstream processed R data objects, complete cell annotation and R code to reproduce all the analyses. Data quality assessment measures are presented and details are provided for all the bioinformatic analyses that produced results described in the study.

Patient-Derived Explant Cultures of Normal and Tumor Human Breast Tissue.

Tissue culture has evolved considerably over the last few years, including cell culture in three dimensions, organoids, cocultures of different cell types and the use of diverse types of matrices in an attempt to mimic conditions that more closely resemble those found in the original tissue or organ. In this chapter, we describe how patient-derived breast tissue can be cultured on sponges for several days, maintaining their original architecture and with the capacity to respond to treatments. This protocol facilitates the study of the tissue responses without the need for extensive tissue manipulation, cell digestion or use of a biomaterial as scaffold, while maintaining the stroma and extracellular matrix organization. This method has the potential to improve preclinical testing by contributing to provide more accurate data reflecting cell-cell and cell-matrix interactions, tumor microenvironment, drug effects or stem cell function in normal- and pathophysiology of the breast.

Lipid phosphate phosphatase-2 promotes tumor growth through increased c-Myc expression.

LPP2 is one of three enzymes in the lipid phosphate phosphatase family (LPP1-3) that dephosphorylate extracellular and intracellular bioactive lipid phosphates and pyrophosphates. LPP2 increases cell growth and LPP2 expression is elevated in a variety of malignancies, implying that LPP2 is a pro-tumorigenic factor.Methods: LPP2 expression in human breast tumors and normal breast tissue was measured by qPCR. To understand the role of LPP2, we knocked out its expression in multiple cell lines using CRISPR/Cas9. Cell proliferation and migration were compared between wild type and LPP2 knockout cells. Cell cycle was measured by flow cytometry, and cell cycle proteins were determined by western blotting. Effects of LPP2 on tumor growth were investigated using syngeneic and xenograft mouse breast cancer models.Results: LPP2 mRNA levels were higher in ER/PR positive, ER/HER2 positive, and triple negative human breast tumors, relative to normal breast tissue. Higher levels of LPP2 in breast tumors, hepatocellular carcinoma, pancreatic adenocarcinoma, and melanomas were prognostic of poorer survival. LPP2 mRNA expression is also increased in Hs-578T, MDA-MB-231, MCF7 and MDA-MB-468 breast cancer cell lines, relative to non-malignant Hs-578Bst, MCF10A and MCF-12A cells. LPP2 knockout in breast cancer cells decreased cell growth by inhibiting G1/S transition, whereas, increasing LPP2 levels in Hs-578Bst and MCF10A cells promoted proliferation. The effects of LPP2 on cell cycle were associated with changes in cyclin A2, cyclin B1, and cell cycle inhibitors, p27 or p21. The level of c-Myc was downregulated by knocking out LPP2, and it was partly restored by re-expressing LPP2. The positive correlation between the expression of LPP2 and c-Myc exists in multiple cancer cell lines including breast, lung, upper aerodigestive tract and urinary tract cancer. LPP2 knockout in MDA-MB-231 or 4T1 cells suppressed tumor formation in mouse breast cancer models, and decreased the in vivo expression of Ki67 and c-Myc of the cancer cells.Conclusion: Targeting LPP2 could provide a new strategy for decreasing c-Myc expression and tumor growth.

A novel chimeric protein with enhanced cytotoxic effects on breast cancer in vitro and in vivo

In our previous study, we reported the design and recombinant production of the p28-apoptin as a novel chimeric protein for breast cancer (BC) treatment. This study aimed to evaluate the inhibitory activity of the chimeric protein against BC cells in vitro and in vivo. We developed a novel multifunctional protein, consisting of p28, as a tumor-homing killer peptide fused to apoptin as a tumor-selective killer. The chimeric protein showed significantly higher toxicity in BC cell lines dose-dependently than in non-cancerous control cell lines. IC50 values were 1.41, 1.38, 6.13, and 264.49 μM for 4T1, MDA-MB-468, Vero, and HEK293 cells, respectively. The protein showed significantly enhanced uptake in 4T1 cancer cells compared with non-cancerous Vero cells. We also showed that the p28-apoptin chimeric protein binds significantly higher to human breast cancer tumor sections than the normal human breast tissue section. Also, significant apoptosis induction and tumor growth inhibition were observed in established tumor-bearing mice accompanied by a decreased frequency of metastases. Our results support that the chimeric protein has inhibitory activity in vitro and in vivo, making it a promising choice in targeted cancer therapy.

Human Breast Extracellular Matrix Microstructures and Protein Hydrogel 3D Cultures of Mammary Epithelial Cells.

Simple SummaryHuman breast tissue extracellular matrix (ECM) is a microenvironment essential for the survival and biological activities of mammary epithelial cells. The ECM structural features of human breast tissues remain poorly defined. In this study, we identified the structural and mechanical properties of human normal breast and invasive ductal carcinoma tissue ECM using histological methods and atomic force microscopy. Additionally, a protein hydrogel was generated using human breast tissue ECM and defined for its microstructural features using immunofluorescence imaging and machine learning. Furthermore, we examined the three-dimensional growth of normal mammary epithelial cells or breast cancer cells cultured on the ECM protein hydrogel, where the cells exhibited biological phenotypes like those seen in native breast tissues. Our data provide novel insights into cancer cell biology, tissue microenvironment mimicry and engineering, and native tissue ECM-based biomedical and pharmaceutical applications.Tissue extracellular matrix (ECM) is a structurally and compositionally unique microenvironment within which native cells can perform their natural biological activities. Cells grown on artificial substrata differ biologically and phenotypically from those grown within their native tissue microenvironment. Studies examining human tissue ECM structures and the biology of human tissue cells in their corresponding tissue ECM are lacking. Such investigations will improve our understanding about human pathophysiological conditions for better clinical care. We report here human normal breast tissue and invasive ductal carcinoma tissue ECM structural features. For the first time, a hydrogel was successfully fabricated using whole protein extracts of human normal breast ECM. Using immunofluorescence staining of type I collagen (Col I) and machine learning of its fibrous patterns in the polymerized human breast ECM hydrogel, we have defined the microstructural characteristics of the hydrogel and compared the microstructures with those of other native ECM hydrogels. Importantly, the ECM hydrogel supported 3D growth and cell-ECM interaction of both normal and cancerous mammary epithelial cells. This work represents further advancement toward full reconstitution of the human breast tissue microenvironment, an accomplishment that will accelerate the use of human pathophysiological tissue-derived matrices for individualized biomedical research and therapeutic development.

Relative Quantitation of Unsaturated Phosphatidylcholines Using 193 nm Ultraviolet Photodissociation Parallel Reaction Monitoring Mass Spectrometry.

Structural characterization of glycerophospholipids beyond the fatty acid level has become a major endeavor in lipidomics, presenting an opportunity to advance the understanding of the intricate relationship between lipid metabolism and disease state. Distinguishing subtle lipid structural features, however, remains a major challenge for high-throughput workflows that implement traditional tandem mass spectrometry (MS/MS) techniques, stunting the molecular depth of quantitative strategies. Here, reversed phase liquid chromatography is coupled to parallel reaction mass spectrometry utilizing the double bond localization capabilities of ultraviolet photodissociation (UVPD) mass spectrometry to produce double bond isomer specific responses that are leveraged for relative quantitation. The strategy provides lipidomic characterization at the double bond level for phosphatidylcholine phospholipids from biological extracts. In addition to quantifying monounsaturated lipids, quantitation of phospholipids incorporating isomeric polyunsaturated fatty acids is also achieved. Using this technique, phosphatidylcholine isomer ratios are compared across human normal and tumor breast tissue to reveal significant structural alterations related to disease state.