Publications by authors named "Ana C deCarvalho"

Glioblastoma multiforme (GBM) is the most common and aggressive form of primary brain malignancy for which there is no cure. The blood-brain barrier is a significant hurdle in the delivery of therapies to GBM. Reported here is an image-guided, iron oxide-based therapeutic delivery nano platform capable of bypassing this physiological barrier by virtue of size and accumulating in the tumor region, delivering its payload.

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  • Glioblastoma (GBM) tumors show diverse genetic and transcriptional profiles, leading to significant variations in how cancer stem cells (CSCs) respond to standard treatments like radiation and temozolomide (TMZ).
  • Through targeted proteomics and RNA sequencing, the study found that while differentiating CSCs to an astrocytic state activates certain oncogenic pathways and retains some "stemness," it also increases resistance to TMZ treatment.
  • The transcriptional response to treatments was largely influenced by the p53 status of the cells, revealing that both mutant and wild-type p53 models activated a DNA-damage related immune response, indicating potential pathways for improving GBM treatment strategies.
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  • The study analyzed the epigenetic changes in gliomas from 132 patients over time, comparing initial and recurrent tumors in both IDH-wildtype (IDHwt) and IDH-mutant (IDHmut) types.
  • IDHwt gliomas remained stable in their epigenetic profile, while IDHmut gliomas showed a notable decrease in DNA methylation, making their profiles more similar to IDHwt tumors.
  • The research identified HOXD13 as crucial for the evolution of IDHmut tumors and found that treatment led to changes in the tumor microenvironment, like increased blood vessel formation and T-cell presence, mimicking the characteristics of IDHwt gliomas.
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  • Recurrence of meningiomas is hard to predict with current methods, making it important to find noninvasive ways to identify patients at risk of recurrence.
  • This study examines DNA methylation in blood and tissue samples from 155 meningioma patients, discovering unique markers and utilizing artificial intelligence to create models for predicting recurrence.
  • The findings suggest that using liquid biopsy could provide a reliable and noninvasive method for diagnosis and predicting outcomes in meningioma patients, enhancing personalized treatment strategies.
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Glioblastoma is one of the most aggressive types of cancer with success of therapy being hampered by the existence of treatment resistant populations of stem-like Tumour Initiating Cells (TICs) and poor blood-brain barrier drug penetration. Therapies capable of effectively targeting the TIC population are in high demand. Here, we synthesize spherical diketopyrrolopyrrole-based Conjugated Polymer Nanoparticles (CPNs) with an average diameter of 109 nm.

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  • DNA methylation abnormalities are common in pituitary neuroendocrine tumors (PitNETs), and this study aimed to use liquid biopsy to detect specific methylation patterns to differentiate PitNETs from other diseases in the sellar region.
  • The researchers analyzed circulating cell-free DNA (cfDNA) from 59 serum and 41 plasma samples of patients with PitNETs and various non-PitNET conditions, finding significant differences in methylome profiles between the two groups.
  • The findings showed that methylation-based profiling from liquid biopsies can potentially serve as a noninvasive diagnostic tool, with machine-learning models achieving over 93% accuracy in distinguishing PitNETs from other conditions, thereby impacting diagnosis and treatment strategies.
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Homozygous deletion of methylthioadenosine phosphorylase (MTAP) in cancers such as glioblastoma represents a potentially targetable vulnerability. Homozygous MTAP-deleted cell lines in culture show elevation of MTAP's substrate metabolite, methylthioadenosine (MTA). High levels of MTA inhibit protein arginine methyltransferase 5 (PRMT5), which sensitizes MTAP-deleted cells to PRMT5 and methionine adenosyltransferase 2A (MAT2A) inhibition.

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Extrachromosomal, circular DNA (ecDNA) is emerging as a prevalent yet less characterized oncogenic alteration in cancer genomes. We leverage ChIA-PET and ChIA-Drop chromatin interaction assays to characterize genome-wide ecDNA-mediated chromatin contacts that impact transcriptional programs in cancers. ecDNAs in glioblastoma patient-derived neurosphere and prostate cancer cell cultures are marked by widespread intra-ecDNA and genome-wide chromosomal interactions.

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Background: Distinct genome-wide methylation patterns cluster pituitary neuroendocrine tumors (PitNETs) into molecular groups associated with specific clinicopathological features. Here we aim to identify, characterize, and validate methylation signatures that objectively classify PitNET into clinicopathological groups.

Methods: Combining in-house and publicly available data, we conducted an analysis of the methylome profile of a comprehensive cohort of 177 tumors (Panpit cohort) and 20 nontumor specimens from the pituitary gland.

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Models of human cancer, to be useful, must replicate human disease with high fidelity. Our focus in this study is rat xenograft brain tumors as a model of human embedded cerebral tumors. A distinguishing signature of such tumors in humans, that of contrast-enhancement on imaging, is often not present when the human cells grow in rodents, despite the xenografts having nearly identical DNA signatures to the original tumor specimen.

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Background: The detection of somatic mutations in cell-free DNA (cfDNA) from liquid biopsy has emerged as a noninvasive tool to monitor the follow-up of cancer patients. However, the significance of cfDNA clinical utility remains uncertain in patients with brain tumors, primarily because of the limited sensitivity cfDNA has to detect real tumor-specific somatic mutations. This unresolved challenge has prevented accurate follow-up of glioma patients with noninvasive approaches.

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There is a compelling need for new therapeutic strategies for glioblastoma multiforme (GBM). Preclinical target and therapeutic discovery for GBMs is primarily conducted using cell lines grown in serum-containing media, such as U-87 MG, which do not reflect the gene expression profiles of tumors found in GBM patients. To address this lack of representative models, we sought to develop a panel of patient-derived GBM models and characterize their genomic features, using RNA sequencing (RNA-seq) and growth characteristics, both when grown as neurospheres in culture, and grown orthotopically as xenografts in mice.

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Marked progress has been made recently in the treatment of patients with central nervous system (CNS) tumors, especially gliomas. However, because of the relative rarity of these tumors compared with other malignancies, advances in the molecular/genetic analysis leading to future targeted treatments rely on systematic, organized tissue banking. Several large multi-institutional efforts have utilized major tissue banks that have yielded valuable information that may lead to a better understanding of the pathogenesis of CNS tumors.

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Introduction of polymeric nanoparticles in cancer therapeutics is widely investigated since nanomedicine often enables the intratumoral delivery of drugs with increased efficacy with minimal side effects. In this study MRI monitoring was employed to study the therapeutic effect of nanocombretastatin (G3-CA4) in an orthotopic glioma model. Water insoluble combretastatin (CA4) was conjugated to a small-sized water soluble G3-succinamic acid PAMAM dendrimer.

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  • This study investigates how genetic diversity in glioblastoma (GBM) affects treatment responses by analyzing DNA and RNA from GBM samples and derived models.
  • The researchers discovered that specific genetic changes, including mutations and amplifications, were primarily passed from tumors to model systems, with different inheritance patterns observed.
  • They found that extrachromosomal DNA (ecDNA) plays a significant role in increasing genetic variability in GBM, maintaining oncogenic potential throughout the disease progression, regardless of chromosomal DNA changes.
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Transition metals are essential, but deregulation of their metabolism causes toxicity. Here, we report that the compound NSC319726 binds copper to induce oxidative stress and arrest glioblastoma-patient-derived cells at picomolar concentrations. Pharmacogenomic analysis suggested that NSC319726 and 65 other structural analogs exhibit lethality through metal binding.

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Glioblastoma is an aggressive primary brain tumor predominantly localized to the cerebral cortex. We developed a panel of patient-derived mouse orthotopic xenografts (PDOX) for preclinical drug studies by implanting cancer stem cells (CSC) cultured from fresh surgical specimens intracranially into 8-wk-old female athymic nude mice. Here we optimize the glioblastoma PDOX model by assessing the effect of implantation location on tumor growth, survival, and histologic characteristics.

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We leveraged IDH wild-type glioblastomas, derivative neurospheres, and single-cell gene expression profiles to define three tumor-intrinsic transcriptional subtypes designated as proneural, mesenchymal, and classical. Transcriptomic subtype multiplicity correlated with increased intratumoral heterogeneity and presence of tumor microenvironment. In silico cell sorting identified macrophages/microglia, CD4 T lymphocytes, and neutrophils in the glioma microenvironment.

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Glioblastoma (GBM) is a highly invasive brain tumor. Perivascular invasion, autovascularization and vascular co-option occur throughout the disease and lead to tumor invasion and progression. The molecular basis for perivascular invasion, i.

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Identifying drugs for the treatment of glioblastoma (GBM), a rapidly fatal disease, has been challenging. Most screening efforts have been conducted with immortalized cell lines grown with fetal bovine serum, which have little relevance to the genomic features found in GBM patients. Patient-derived neurosphere cultures, while being more physiologically relevant, are difficult to screen and therefore are only used to test a few drug candidates after initial screening efforts.

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As glioma cells infiltrate the brain they become associated with various microanatomic brain structures such as blood vessels, white matter tracts, and brain parenchyma. How these distinct invasion patterns coordinate tumor growth and influence clinical outcomes remain poorly understood. We have investigated how perivascular growth affects glioma growth patterning and response to antiangiogenic therapy within the highly vascularized brain.

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The high-mobility group-box transcription factor sex-determining region Y-box 2 (Sox2) is essential for the maintenance of stem cells from early development to adult tissues. Sox2 can reprogram differentiated cells into pluripotent cells in concert with other factors and is overexpressed in various cancers. In glioblastoma (GBM), Sox2 is a marker of cancer stemlike cells (CSCs) in neurosphere cultures and is associated with the proneural molecular subtype.

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The selective Aurora-A kinase inhibitor MLN8237 is in clinical trials for hematologic malignancies, ovarian cancer and other solid tumors. We previously showed that MLN8237 is potently antiproliferative toward standard monolayer-cultured glioblastoma cells. We have now investigated the effect of MLN8237 with and without temozolomide or ionizing radiation on the proliferation of glioblastoma tumor stem-like cells (neurospheres) using soft agar colony formation assays and normal human astrocytes by MTT assay.

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The heterogeneity of brain cancers, as most solid tumors, complicates diagnosis and treatment. Identifying and targeting populations of cells driving tumorigenesis is a top priority for the cancer biology field. This is not a trivial task; considerable variance exists in the driving mutations, identifying markers, and evolutionary pressures influencing initiating cells in different individual tumors.

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