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Molecular subtyping of triple-negative breast cancer (TNBC) is essential for understanding the mechanisms and discovering actionable targets of this highly heterogeneous type of breast cancer. We previously performed a large single-center and multiomics study consisting of genomics, transcriptomics, and clinical information from 465 patients with primary TNBC. To facilitate reusing this unique dataset, we provided a detailed description of the dataset with special attention to data quality in this study. The multiomics data were generally of high quality, but a few sequencing data had quality issues and should be noted in subsequent data reuse. Furthermore, we reconduct data analyses with updated pipelines and the updated version of the human reference genome from hg19 to hg38. The updated profiles were in good concordance with those previously published in terms of gene quantification, variant calling, and copy number alteration. Additionally, we developed a user-friendly web-based database for convenient access and interactive exploration of the dataset. Our work will facilitate reusing the dataset, maximize the values of data and further accelerate cancer research., (© 2022. The Author(s).)

An emerging view regarding cancer metabolism is that it is heterogeneous and context-specific, but it remains to be elucidated in breast cancers. In this study, we characterized the energy-related metabolic features of breast cancers through integrative analyses of multiple datasets with genomics, transcriptomics, metabolomics, and single-cell transcriptome profiling. Energy-related metabolic signatures were used to stratify breast tumors into two prognostic clusters: cluster 1 exhibits high glycolytic activity and decreased survival rate, and the signatures of cluster 2 are enriched in fatty acid oxidation and glutaminolysis. The intertumoral metabolic heterogeneity was reflected by the clustering among three independent large cohorts, and the complexity was further verified at the metabolite level. In addition, we found that the metabolic status of malignant cells rather than that of nonmalignant cells is the major contributor at the single-cell resolution, and its interactions with factors derived from the tumor microenvironment are unanticipated. Notably, among various immune cells and their clusters with distinguishable metabolic features, those with immunosuppressive function presented higher metabolic activities. Collectively, we uncovered the heterogeneity in energy metabolism using a classifier with prognostic and therapeutic value. Single-cell transcriptome profiling provided novel metabolic insights that could ultimately tailor therapeutic strategies based on patient- or cell type-specific cancer metabolism., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2021 The American Society of Gene and Cell Therapy. Published by Elsevier Inc. All rights reserved.)

Background: Age at the time of breast cancer diagnosis not only predicts clinical outcome but also indicates distinct molecular characteristics that provide the rationale for appropriate treatment strategies. However, to the authors' knowledge, little is known regarding the molecular profile and biological basis of triple-negative breast cancers (TNBCs) occurring in young and elderly patients., Methods: Using the study institution's largest, single-center, multiomics TNBC data set, the authors analyzed the clinical and genomic features of young (aged ≤39 years) and elderly (aged ≥65 years) patients with TNBC., Results: In the current study, a total of 50 patients, 354 patients, and 69 patients, respectively, were grouped as young, intermediate, and elderly patients with TNBC. Young patients with TNBC had worse short-term survival, upregulation of DNA repair, cell cycle and RNA metabolism gene sets, frequent pathogenic germline variants, and predominant homologous recombination deficiency-related mutational signatures. Several copy number alterations also were found to be enriched in young patients with TNBC. Nearly one-half of the TNBC cases in elderly patients were of the luminal androgen receptor subtype. TNBC in elderly patients was identified as being associated with severe fibrosis; a lower Ki-67 index; and somatic mutations in PIK3CA, KMT2D, ERBB2, ERBB3, and their corresponding pathways. Elderly patients with TNBC also were more likely to harbor targetable mutations., Conclusions: The findings of the current study indicated that young patients with TNBC had an enhanced cell cycle, which may have helped to explain their inferior short-term survival, whereas the homologous recombination deficiency and enriched pathogenic germline variants observed among young patients with TNBC suggested the need for genetic counseling and testing, as well as the potential use of DNA damage agents and poly(adenosine diphosphate ribose) polymerase (PARP) inhibitors. Molecular characteristics of elderly patients with TNBC, although suggesting less response to chemotherapy, provided a rationale for the routine detection of actionable somatic mutations., (© 2020 American Cancer Society.)

Purpose: By integrating expression profiles of mRNAs and long noncoding RNAs (lncRNA), we tried to develop and validate novel multigene signatures to facilitate individualized treatment of triple-negative breast cancer (TNBC) patients., Experimental Design: We analyzed 165 TNBC samples and 33 paired normal breast tissues using transcriptome microarrays. Tumor-specific mRNAs and lncRNAs were identified and correlated with patients' recurrence-free survival (RFS). Using Cox regression model, we built two multigene signatures incorporating mRNAs and lncRNAs. The prognostic and predictive accuracy of the signatures were tested in a training set of 165 TNBC patients and validated in other 101 TNBC patients., Results: We successfully developed an mRNA and an integrated mRNA-lncRNA signature based on eight mRNAs and two lncRNAs. In the training set, patients in the high-risk group were more likely to suffer from recurrent disease than patients in the low-risk group in both signatures [HR, 10.00; 95% confidence interval (CI), 2.53-39.47, P= 0.001; HR = 4.46, 95% CI, 1.34-14.91, P= 0.015 for integrated signature and mRNA signature, respectively). Results were validated in the validation set (P= 0.019 and 0.030, respectively). In addition, time-dependent receiver operating curve showed that the integrated mRNA-lncRNA signature had a better prognostic value than both the eight-mRNA-only signature and the clinicopathologic risk factors in both sets. We also found through interaction analysis that patients classified into the low-risk group by the integrated mRNA-lncRNA signature had a more favorable response to adjuvant taxane chemotherapy., Conclusions: The multigene signature we developed can accurately predict clinical outcome and benefit of taxane chemotherapy in TNBC patients., (©2016 American Association for Cancer Research.)

Background: Triple-negative breast cancer (TNBC) is a highly heterogeneous group of cancers, and molecular subtyping is necessary to better identify molecular-based therapies. While some classifiers have been established, no one has integrated the expression profiles of long noncoding RNAs (lncRNAs) into such subtyping criterions. Considering the emerging important role of lncRNAs in cellular processes, a novel classification integrating transcriptome profiles of both messenger RNA (mRNA) and lncRNA would help us better understand the heterogeneity of TNBC., Methods: Using human transcriptome microarrays, we analyzed the transcriptome profiles of 165 TNBC samples. We used k-means clustering and empirical cumulative distribution function to determine optimal number of TNBC subtypes. Gene Ontology (GO) and pathway analyses were applied to determine the main function of the subtype-specific genes and pathways. We conducted co-expression network analyses to identify interactions between mRNAs and lncRNAs., Results: All of the 165 TNBC tumors were classified into four distinct clusters, including an immunomodulatory subtype (IM), a luminal androgen receptor subtype (LAR), a mesenchymal-like subtype (MES) and a basal-like and immune suppressed (BLIS) subtype. The IM subtype had high expressions of immune cell signaling and cytokine signaling genes. The LAR subtype was characterized by androgen receptor signaling. The MES subtype was enriched with growth factor signaling pathways. The BLIS subtype was characterized by down-regulation of immune response genes, activation of cell cycle, and DNA repair. Patients in this subtype experienced worse recurrence-free survival than others (log rank test, P = 0.045). Subtype-specific lncRNAs were identified, and their possible biological functions were predicted using co-expression network analyses., Conclusions: We developed a novel TNBC classification system integrating the expression profiles of both mRNAs and lncRNAs and determined subtype-specific lncRNAs that are potential biomarkers and targets. If further validated in a larger population, our novel classification system could facilitate patient counseling and individualize treatment of TNBC.

Triple-negative breast cancer (TNBC) is a heterogeneous disease with highest loco-regional recurrence among breast cancer subtypes. Radiotherapy is indispensable for TNBC loco-regional control. However, intrinsic radiosensitivity differences exist in TNBC patients and RT is still prescribed mainly based on conventional clinicopathologic features of patients without considering the differences. The purpose of the present study is to develop and validate a TNBC radiosensitive gene signature (RSGS) and to guide therapeutic decisions. In this study, we compared transcriptome profiles of 12 locally recurrent TNBCs to 20 non-locally recurrent TNBCs treated with surgery radio-chemotherapy and developed a seven-gene RSGS and a simplified three-gene RSGS by using pathway analysis, univariate Cox proportional hazards regression model and rank-based linear algorithm. They were validated by using transcriptome profiles of 166 TNBC patients. Two gene signatures specifically identified a radiosensitive population that had an improved recurrence-free survival in patients treated with surgery radio-chemotherapy (Radiosensitive patients vs radioresistant patients, for seven-gene RSGS: P = 0.024, HR = 0.35, 95 %CI 0.14–0.87 and for three-gene RSGS: P = 0.035, HR = 0.38, 95 %CI 0.15–0.94). In contrast, there was no significant difference in outcome between predicted radiosensitive and radioresistant patients that treated with other treatment modality. RSGSs provide a useful tool for identification of radiosensitive/radioresistant TNBC patients and they could lead to a better selection of patients for RT protocols.

Background: Atherosclerosis is a heterogeneously distributed disease of arteries in which the endothelium plays an important central role. Spatial transcriptome profiling of endothelium in pre-lesional arteries has demonstrated differential phenotypes primed for athero-susceptibility at hemodynamic sites associated with disturbed blood flow. DNA methylation is a powerful epigenetic regulator of endothelial transcription recently associated with flow characteristics. We investigated differential DNA methylation in flow region-specific aortic endothelial cells in vivo in adult domestic male and female swine., Results: Genome-wide DNA methylation was profiled in endothelial cells (EC) isolated from two robust locations of differing patho-susceptibility:--an athero-susceptible site located at the inner curvature of the aortic arch (AA) and an athero-protected region in the descending thoracic (DT) aorta. Complete methylated DNA immunoprecipitation sequencing (MeDIP-seq) identified over 5500 endothelial differentially methylated regions (DMRs). DMR density was significantly enriched in exons and 5'UTR sequences of annotated genes, 60 of which are linked to cardiovascular disease. The set of DMR-associated genes was enriched in transcriptional regulation, pattern specification HOX loci, oxidative stress and the ER stress adaptive pathway, all categories linked to athero-susceptible endothelium. Examination of the relationship between DMR and mRNA in HOXA genes demonstrated a significant inverse relationship between CpG island promoter methylation and gene expression. Methylation-specific PCR (MSP) confirmed differential CpG methylation of HOXA genes, the ER stress gene ATF4, inflammatory regulator microRNA-10a and ARHGAP25 that encodes a negative regulator of Rho GTPases involved in cytoskeleton remodeling. Gender-specific DMRs associated with ciliogenesis that may be linked to defects in cilia development were also identified in AA DMRs., Conclusions: An endothelial methylome analysis identifies epigenetic DMR characteristics associated with transcriptional regulation in regions of atherosusceptibility in swine aorta in vivo. The data represent the first methylome blueprint for spatio-temporal analyses of lesion susceptibility predisposing to endothelial dysfunction in complex flow environments in vivo.

Fetoplacental endothelial cells are exposed to oxygen levels ranging from 2% to 8% in vivo. However, little is known regarding endothelial function within this range of oxygen because most laboratories use ambient air (21% O2) as a standard culture condition (SCN). We asked whether human umbilical artery endothelial cells (HUAECs) that were steadily exposed to the physiological chronic normoxia (PCN, 3% O2) for ∼20-25 days differed in their proliferative and migratory responses to FGF2 and VEGFA as well as in their global gene expression compared with those in the SCN. We observed that PCN enhanced FGF2- and VEGFA-stimulated cell proliferation and migration. In oxygen reversal experiments (i.e., when PCN cells were exposed to SCN for 24 h and vice versa), we found that preexposure to 21% O2 decreased the migratory ability, but not the proliferative ability, of the PCN-HUAECs in response to FGF2 and VEGFA. These PCN-enhanced cellular responses were associated with increased protein levels of HIF1A and NOS3, but not FGFR1, VEGFR1, and VEGFR2. Microarray analysis demonstrated that PCN up-regulated 74 genes and down-regulated 86, 14 of which were directly regulated by hypoxia-inducible factors as evaluated using in silico analysis. Gene function analysis further indicated that the PCN-regulated genes were highly related to cell proliferation and migration, consistent with the results from our functional assays. Given that PCN significantly alters cellular responses to FGF2 and VEGFA as well as transcription in HUAECs, it is likely that we may need to reexamine the current cellular and molecular mechanisms controlling fetoplacental endothelial functions, which were largely derived from endothelial models established under ambient O2.

Endothelial cells chronically reside in low-O2 environments in vivo (2%-13% O2), which are believed to be critical for cell homeostasis. To elucidate the roles of this physiological chronic normoxia in human endothelial cells, we examined transcriptomes of human umbilical vein endothelial cells (HUVECs), proliferation and migration of HUVECs in response to fibroblast growth factor 2 (FGF2) and vascular endothelial growth factor A (VEGFA), and underlying signaling mechanisms under physiological chronic normoxia. Immediately after isolation, HUVECs were cultured steadily under standard cell culture normoxia (SCN; 21% O2) or physiological chronic normoxia (PCN; 3% O2) up to 25 days. We found that PCN up-regulated 41 genes and down-regulated 21 genes, 90% of which differed from those previously reported from HUVECs cultured under SCN and exposed to acute low O2. Gene ontology analysis indicated that PCN-regulated genes were highly related to cell proliferation and migration, consistent with the results from benchtop assays that showed that PCN significantly enhanced FGF2- and VEGFA-stimulated cell proliferation and migration. Interestingly, preexposing the PCN cells to 21% O2 up to 5 days did not completely diminish PCN-enhanced cell proliferation and migration. These PCN-enhanced cell proliferations and migrations were mediated via augmented activation of MEK1/MEK2/ERK1/ERK2 and/or PI3K/AKT1. Importantly, these PCN-enhanced cellular responses were associated with an increase in activation of VEGFR2 but not FGFR1, without altering their expression. Thus, PCN programs endothelial cells to undergo dramatic changes in transcriptomes and sensitizes cellular proliferative and migratory responses to FGF2 and VEGFA. These PCN cells may offer a unique endothelial model, more closely mimicking the in vivo states.