23 research outputs found
Exosomal Metabolic Signatures Are Associated with Differential Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer
Neoadjuvant chemotherapy (NAC) is commonly used in breast cancer (BC) patients to increase eligibility for breast-conserving surgery. Only 30% of patients with BC show pathologic complete response (pCR) after NAC, and residual disease (RD) is associated with poor long-term prognosis. A critical barrier to improving NAC outcomes in patients with BC is the limited understanding of the mechanisms underlying differential treatment outcomes. In this study, we evaluated the ability of exosomal metabolic profiles to predict NAC response in patients with BC. Exosomes isolated from the plasma of patients after NAC were used for metabolomic analyses to identify exosomal metabolic signatures associated with the NAC response. Among the 16 BC patients who received NAC, eight had a pCR, and eight had RD. Patients with RD had 2.52-fold higher exosome concentration in their plasma than those with pCR and showed significant enrichment of various metabolic pathways, including citrate cycle, urea cycle, porphyrin metabolism, glycolysis, and gluconeogenesis. Additionally, the relative exosomal levels of succinate and lactate were significantly higher in patients with RD than in those with pCR. These data suggest that plasma exosomal metabolic signatures could be associated with differential NAC outcomes in BC patients and provide insight into the metabolic determinants of NAC response in patients with BC
Evaluation Of Prognostic Role Of Kinesin Family Member C1 And Its Downstream Molecular Partners In Aggressive Breast Cancer Subtypes
Breast cancer (BC) is a heterogeneous disease with diverse clinicopathological characteristics. Triple-negative BC (TNBC) and quadruple-negative BC (QNBC) are aggressive BC subtypes characterized by poor prognosis and therapeutic resistance. TNBC lacks the expression of estrogen and progesterone receptors and amplification of human epidermal growth factor receptor 2. In addition to these receptors, androgen receptor (AR) is absent in QNBC. Molecular and metabolic rewiring may contribute to aggressive phenotypes and treatment resistance in BC. Elucidating the mechanisms underlying tumor aggressiveness and treatment resistance could help identify novel therapeutic targets for BC.
This study provides a two-pronged approach for the management of BC: i) mitigating tumor aggressiveness by targeting novel molecular targets and ii) predicting treatment response based on metabolic profiles. In this study, I evaluated the molecular signatures associated with tumor aggressiveness in TNBC and QNBC. The levels of forkhead box protein M1, kinesin family member C1 (KIFC1), and survivin were positively correlated in TNBC. Upregulation of these molecules enhanced TNBC cell proliferation and migration in vitro and in preclinical animal models, whereas their ablation had the opposite effects. CCAAT/enhancer-binding protein beta (C/EBPβ), a marker linked to tumor aggressiveness, was upregulated in QNBC. C/EBPβ negatively correlated with AR expression and transcriptionally upregulated KIFC1. The C/EBPβ-KIFC1 axis contributed to the high aggressiveness of QNBC.
The second part of the study focused on the determinants of resistance to neoadjuvant chemotherapy (NAC), which is common in patients with BC. Exosomes are small extracellular vesicles that transport their cargo into recipient cells and promote drug resistance. In this study, I found that patients with residual disease (RD) had higher exosome concentrations than those with pathological complete response (pCR). The exosomal metabolic pathways also differed between the two groups.
These findings suggest that i) combination therapy targeting survivin and KIFC1 could serve as a promising treatment alternative for patients with TNBC; ii) inhibition of KIFC1 could help reduce tumor aggressiveness in QNBC; and iii) the relative exosomal levels of succinate and lactate are higher in patients with RD than those with pCR. Collectively, these findings reveal novel strategies for improving targeted therapies for patients with BC
Epigenetic Determinants of Racial Disparity in Breast Cancer: Looking beyond Genetic Alterations
Breast cancer (BC) is the most commonly diagnosed cancer in women. Despite advancements in BC screening, prevention, and treatment, BC incidence and mortality remain high among African American (AA) women. Compared with European American (EA) women, AA women tend to be diagnosed with more advanced and aggressive tumors and exhibit worse survival outcomes. Most studies investigating the determinants of racial disparities in BC have focused on genetic factors associated with African ancestry. However, various environmental and social stressors over an individual’s life course can also shape racial stratification in BC. These social and environmental exposures result in long-term changes in gene expression mediated by epigenetic mechanisms. Epigenetics is often portrayed as an intersection of socially patterned stress and genetic expression. The enduring nature of epigenetic changes makes them suitable for studying the effects of different environmental exposures over an individual’s life course on gene expression. The role of differential social and environmental exposures in racial disparities in BC suggests varied epigenetic profiles or signatures associated with specific BC subtypes in AA and EA women. These epigenetic profiles in EA and AA women could be used as biomarkers for early BC diagnosis and disease prognosis and may prove valuable for the development of targeted therapies for BC. This review article discusses the current state of knowledge regarding epigenetic differences between AA and EA women with BC. We also discuss the role of socio-environmental factors, including psychosocial stress, environmental toxicants, and dietary factors, in delineating the different epigenetic profiles in AA and EA patients with BC
Epigenetic Determinants of Racial Disparity in Breast Cancer: Looking beyond Genetic Alterations
Breast cancer (BC) is the most commonly diagnosed cancer in women. Despite advancements in BC screening, prevention, and treatment, BC incidence and mortality remain high among African American (AA) women. Compared with European American (EA) women, AA women tend to be diagnosed with more advanced and aggressive tumors and exhibit worse survival outcomes. Most studies investigating the determinants of racial disparities in BC have focused on genetic factors associated with African ancestry. However, various environmental and social stressors over an individual’s life course can also shape racial stratification in BC. These social and environmental exposures result in long-term changes in gene expression mediated by epigenetic mechanisms. Epigenetics is often portrayed as an intersection of socially patterned stress and genetic expression. The enduring nature of epigenetic changes makes them suitable for studying the effects of different environmental exposures over an individual’s life course on gene expression. The role of differential social and environmental exposures in racial disparities in BC suggests varied epigenetic profiles or signatures associated with specific BC subtypes in AA and EA women. These epigenetic profiles in EA and AA women could be used as biomarkers for early BC diagnosis and disease prognosis and may prove valuable for the development of targeted therapies for BC. This review article discusses the current state of knowledge regarding epigenetic differences between AA and EA women with BC. We also discuss the role of socio-environmental factors, including psychosocial stress, environmental toxicants, and dietary factors, in delineating the different epigenetic profiles in AA and EA patients with BC
Ceramic Matrix Composites: Classifications, Manufacturing, Properties, and Applications
Ceramic matrix composites (CMCs) are a significant advancement in materials science and engineering because they combine the remarkable characteristics of ceramics with the strength and toughness of fibers. With their unique properties, which offer better performance and endurance in severe settings, these advanced composites have attracted significant attention in various industries. At the same time, lightweight ceramic matrix composites (LCMCs) provide an appealing alternative for a wide range of industries that require materials with excellent qualities such as high-temperature stability, low density, corrosion resistance, and excellent mechanical performance. CMC uses will expand as production techniques and material research improve, revolutionizing aerospace, automotive, and other industries. The effectiveness of CMCs primarily relies on the composition of their constituent elements and the methods employed in their manufacturing. Therefore, it is crucial to explore the functional properties of various global ceramic matrix reinforcements, their classifications, and the manufacturing techniques used in CMC fabrication. This study aims to overview a diverse range of CMCs reinforced with primary fibers, including their classifications, manufacturing techniques, functional properties, significant applications, and global market size
A novel role for KIFC1-MYH9 interaction in triple-negative breast cancer aggressiveness and racial disparity
Abstract African American (AA) women are twice as likely to develop triple-negative breast cancer (TNBC) as women of European descent. Additionally, AA women with TNBC present a much more aggressive disease course than their European American (EA) counterparts. Thus, there is an unmet clinical need to identify race-specific biomarkers and improve survival outcomes in AA patients with TNBC. The minus-end directed microtubule motor protein kinesin family member C1 (KIFC1) promotes centrosome clustering and chromosomal instability and is often overexpressed in TNBC. Previous findings suggest that KIFC1 plays a role in cell proliferation and migration in TNBC cells from AAs and that the levels of nuclear KIFC1 (nKIFC1) are particularly high in AA patients with TNBC. The nuclear localization of KIFC1 in interphase may underlie its previously unrecognized race-specific association. In this study, we found that in TNBC cells derived from AAs, nKIFC1 interacted with the tumor suppressor myosin heavy chain 9 (MYH9) over EA cells. Treatment of AA TNBC cells with commercial inhibitors of KIFC1 and MYH9 disrupted the interaction between KIFC1 and MYH9. To characterize the racial differences in the KIFC1-MYH9-MYC axis in TNBC, we established homozygous KIFC1 knockout (KO) TNBC cell lines. KIFC1 KO significantly inhibited proliferation, migration, and invasion in AA TNBC cells but not in EA TNBC cells. RNA sequencing analysis showed significant downregulation of genes involved in cell migration, invasion, and metastasis upon KIFC1 KO in TNBC cell lines from AAs compared to those from EAs. These data indicate that mechanistically, the role of nKIFC1 in driving TNBC progression and metastasis is stronger in AA patients than in EA patients, and that KIFC1 may be a critical therapeutic target for AA patients with TNBC. Graphical abstrac
Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms
Constructing the human reference atlas requires integration and analysis of massive amounts of data. Here the authors report the setup and results of the Hacking the Human Body machine learning algorithm development competition hosted by the Human Biomolecular Atlas and the Human Protein Atlas teams. The development of a reference atlas of the healthy human body requires automated image segmentation of major anatomical structures across multiple organs based on spatial bioimages generated from various sources with differences in sample preparation. We present the setup and results of the Hacking the Human Body machine learning algorithm development competition hosted by the Human Biomolecular Atlas (HuBMAP) and the Human Protein Atlas (HPA) teams on the Kaggle platform. We create a dataset containing 880 histology images with 12,901 segmented structures, engaging 1175 teams from 78 countries in community-driven, open-science development of machine learning models. Tissue variations in the dataset pose a major challenge to the teams which they overcome by using color normalization techniques and combining vision transformers with convolutional models. The best model will be productized in the HuBMAP portal to process tissue image datasets at scale in support of Human Reference Atlas construction
PLK1 and AURKB phosphorylate survivin differentially to affect proliferation in racially distinct triple-negative breast cancer
Abstract Protein diversity due to alternative mRNA splicing or post-translational modifications (PTMs) plays a vital role in various cellular functions. The mitotic kinases polo-like kinase 1 (PLK1) and Aurora B (AURKB) phosphorylate survivin, an inhibitor of apoptosis (IAP) family member, thereby regulating cell proliferation. PLK1, AURKB, and survivin are overexpressed in triple-negative breast cancer (TNBC), an aggressive breast cancer subtype. TNBC is associated with high proliferative capacity, high rates of distant metastasis, and treatment resistance. The proliferation-promoting protein survivin and its activating kinases, PLK1 and AURKB, are overexpressed in TNBC. In this study, we investigated the role of survivin phosphorylation in racial disparities in TNBC cell proliferation. Analysis of TCGA TNBC data revealed higher expression levels of PLK1 (P = 0.026) and AURKB (P = 0.045) in African Americans (AAs; n = 41) than in European Americans (EAs; n = 86). In contrast, no significant racial differences in survivin mRNA or protein levels were observed. AA TNBC cells exhibited higher p-survivin levels than EA TNBC cells. Survivin silencing using small interfering RNAs significantly attenuated cell proliferation and cell cycle progression in AA TNBC cells, but not in EA TNBC cells. In addition, PLK1 and AURKB inhibition with volasertib and barasertib significantly inhibited the growth of AA TNBC xenografts, but not of EA TNBC tumors. These data suggest that inhibition of PLK1 and AURKB suppresses cell proliferation and tumor growth, specifically in AA TNBC. These findings suggest that targeting survivin phosphorylation may be a viable therapeutic option for AA patients with TNBC
Exosomal Metabolic Signatures Are Associated with Differential Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer
Neoadjuvant chemotherapy (NAC) is commonly used in breast cancer (BC) patients to increase eligibility for breast-conserving surgery. Only 30% of patients with BC show pathologic complete response (pCR) after NAC, and residual disease (RD) is associated with poor long-term prognosis. A critical barrier to improving NAC outcomes in patients with BC is the limited understanding of the mechanisms underlying differential treatment outcomes. In this study, we evaluated the ability of exosomal metabolic profiles to predict NAC response in patients with BC. Exosomes isolated from the plasma of patients after NAC were used for metabolomic analyses to identify exosomal metabolic signatures associated with the NAC response. Among the 16 BC patients who received NAC, eight had a pCR, and eight had RD. Patients with RD had 2.52-fold higher exosome concentration in their plasma than those with pCR and showed significant enrichment of various metabolic pathways, including citrate cycle, urea cycle, porphyrin metabolism, glycolysis, and gluconeogenesis. Additionally, the relative exosomal levels of succinate and lactate were significantly higher in patients with RD than in those with pCR. These data suggest that plasma exosomal metabolic signatures could be associated with differential NAC outcomes in BC patients and provide insight into the metabolic determinants of NAC response in patients with BC
Prognostic role of Oct4, CD44 and c-Myc in radio-chemo-resistant oral cancer patients and their tumourigenic potential in immunodeficient mice
In the present study, we have investigated the prognostic value of known stem cell-associated molecules such as Oct4, CD44 and c-Myc in patients with oral SCC who had received post-surgery radio- and/or chemotherapy.
Immunohistochemistry was performed to analyse the expression of Oct4, CD44 and c-Myc in 87 tumour tissues, and the expression profile obtained was correlated with clinicopathological parameters of the patients with oral cancer. Tumourigenic potential of these molecules was also evaluated by in vivo studies.
Our results showed significant correlation of Oct4 (OS, p = 0.003; DFS, p = 0.001) and c-Myc (OS, p = 0.01; DFS, p = 0.03) with overall survival and disease-free survival independently. Furthermore, all the three markers in combinations of two markers each, i.e. Oct4 + CD44 (OS, p = 0.003; DFS, p = 0.001), Oct4 + c-Myc (OS, p = 0.0001; DFS, p = 0.0001), CD44 + c-Myc (OS, p = 0.008; DFS, p = 0.02) and in combinations of three markers each, i.e. Oct4 + CD44 + c-Myc (OS, p = 0.0001; DFS, p = 0.0001) also significantly correlated with overall survival and disease-free survival. Univariate and multivariate analyses further established the independent prognostic value of Oct4. Oct4-, CD44- and c-Myc-enriched populations independently induced sarcomatoid carcinomas whereas primary keratinocytes developed poorly differentiated carcinomas in immunodeficient mice.
Oct4 and c-Myc independently as well as in combination with CD44 might be useful for the prediction of local recurrence and poor survival of patients with oral cancer which is the novel finding of this study.
Oct4, c-Myc and CD44 can be used to predict local recurrence and the outcome of treatment in oral cancer patients. In addition, these molecules may find use as molecular targets for effective therapy