193 results match your criteria: "Center for Biomedical Informatics and Information Technology[Affiliation]"

Purpose Of Review: With growing emphasis on data-driven research in pediatric oncology, particularly in the context of advances in molecular characterization and precision medicine, there is an urgent need for comprehensive data-sharing initiatives. This review explores how the Childhood Cancer Data Initiative (CCDI) addresses this critical need.

Recent Findings: CCDI plays a key role in enhancing pediatric cancer research by improving data integration, sharing, and collaboration.

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Purpose: The NCI-MATCH trial assigned patients with solid tumors, lymphomas, or multiple myeloma to targeted therapies on the basis of identified genetic alterations from tumor biopsies. In preclinical models, ()-inactivated tumors display sensitivity to focal adhesion kinase (FAK) inhibition. The EAY131-U subprotocol evaluated the efficacy of defactinib, a FAK inhibitor, in patients with -altered tumors.

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Machine Learning-based Prognostic Subgrouping of Glioblastoma: A Multi-center Study.

Neuro Oncol

December 2024

Center for Data Science and AI for Integrated Diagnostics (AI2D), and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.

Background: Glioblastoma is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification.

Methods: We developed a highly reproducible, personalized prognostication and clinical subgrouping system using machine learning (ML) on routine clinical data, MRI, and molecular measures from 2,838 demographically diverse patients across 22 institutions and 3 continents. Patients were stratified into favorable, intermediate, and poor prognostic subgroups (I, II, III) using Kaplan-Meier analysis (Cox proportional model and hazard ratios [HR]).

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Usage of the National Cancer Institute Cancer Research Data Commons by Researchers: A Scoping Review of the Literature.

JCO Clin Cancer Inform

November 2024

Informatics and Data Science Program, Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD.

Article Synopsis
  • The National Cancer Institute's Cancer Research Data Commons (CRDC) is a cloud-based platform that facilitates the sharing and analysis of extensive cancer data, aimed at enhancing research efforts.
  • A literature review highlighted how researchers utilize CRDC resources, revealing positive trends in usage but also identifying gaps that need addressing for improved impact.
  • The CRDC is positioned as a key element in a National Cancer Data Ecosystem, helping researchers develop new strategies to effectively address cancer and meet patient needs.
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Ten challenges and opportunities in computational immuno-oncology.

J Immunother Cancer

October 2024

Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA

Article Synopsis
  • Immuno-oncology is revolutionizing cancer treatment, but most patients do not see long-lasting benefits, indicating a need for further advancements in the field.
  • Computational immuno-oncology combines biomedical data science with oncology and immunology to enhance the development of effective immunotherapy treatments from research to clinical application.
  • The review highlights 10 key challenges and opportunities in computational immuno-oncology, stressing the need for strong computational methods and teamwork to adapt to rapid changes in clinical demands and technology.
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Phosphorylation by JNK switches BRD4 functions.

Mol Cell

November 2024

Experimental Immunology Branch, NCI, NIH, Bethesda, MD 20892, USA. Electronic address:

Bromodomain 4 (BRD4), a key regulator with pleiotropic functions, plays crucial roles in cancers and cellular stress responses. It exhibits dual functionality: chromatin-bound BRD4 regulates remodeling through its histone acetyltransferase (HAT) activity, while promoter-associated BRD4 regulates transcription through its kinase activity. Notably, chromatin-bound BRD4 lacks kinase activity, and RNA polymerase II (RNA Pol II)-bound BRD4 exhibits no HAT activity.

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Cellular fate of a plant virus immunotherapy candidate.

Commun Biol

October 2024

Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, CA, USA.

Cowpea mosaic virus (CPMV) is a plant virus that is currently being developed for intratumoral immunotherapy. CPMV relieves the immune system from tumor-induced immunosuppression; reprograms the tumor microenvironment to an activated state whereby the treated and distant tumors are recognized and eradicated. Toward translational studies, we investigated the safety of CPMV, specifically addressing whether pathogenicity would be induced in mammalian cells.

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Purpose: Amplification of cyclin-dependent kinase 4 (CDK4) and CDK6 is a feature of a variety of malignancies, and preclinical evidence suggests that inhibition of CDK4/6 is a plausible treatment strategy in these tumors. Subprotocol Z1C of the NCI-Molecular Analysis for Therapy Choice trial was designed to evaluate the CDK4/6 inhibitor palbociclib in CDK4- or CDK6-amplified tumors.

Patients And Methods: Patients had a solid malignancy or lymphoma with progression on at least one systemic therapy for advanced disease or with no standard-of-care therapy available.

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Purpose: The National Cancer Institute-Children's Oncology Group Pediatric Molecular Analysis for Therapy Choice trial assigned patients age 1-21 years with relapsed or refractory solid tumors, lymphomas, and histiocytic disorders to phase II treatment arms of molecularly targeted therapies on the basis of genetic alterations detected in their tumor. Patients with tumors that harbored prespecified genomic alterations in the cyclinD-CDK4/6-INK4a-Rb pathway with intact Rb expression were assigned and treated with the cdk4/6 inhibitor palbociclib.

Methods: Patients received palbociclib orally once daily for 21 days of 28-day cycles until disease progression, intolerable toxicity, or up to 2 years.

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Purpose: Patients age 1-21 years with relapsed or refractory solid and CNS tumors were assigned to phase II studies of molecularly targeted therapies on the National Cancer Institute-Children's Oncology Group (NCI-COG) Pediatric Molecular Analysis for Therapy Choice (MATCH) trial. Patients whose tumors harbored predefined genetic alterations in the phosphoinositide 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) pathway and lacked mitogen-activated protein kinase pathway activating alterations were treated with the PI3K/mTOR inhibitor samotolisib.

Methods: Patients received samotolisib twice daily in 28-day cycles until disease progression or unacceptable toxicity.

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Sex differences are evident in adverse events (AEs) related to brain tumors, yet sex differences in AEs specific to brain metastases (BrMs) are underexplored. Lung cancer BrMs dominate among BrM, comprising over half of cases. This study examined sex differences in AEs associated with lung cancer BrMs in individuals aged 66 or older using the SEER-Medicare dataset.

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Article Synopsis
  • The study examines gene regulatory changes associated with cancer by analyzing chromatin accessibility across eight different tumor types, revealing the influence of copy number alterations on tumor characteristics.
  • Researchers found specific chromatin signatures in cancer that are closely related to healthy cell types, particularly noting similarities between basal-like breast cancer and secretory-type luminal epithelial cells.
  • Advanced neural network models highlighted the significance of noncoding mutations near cancer-associated genes, suggesting that widely dispersed mutations in cancer have important functional roles in gene regulation.
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Article Synopsis
  • Glioblastoma (GBM) is an aggressive brain tumor that often infiltrates beyond its visible boundaries, making treatment challenging with standard surgical and chemoradiotherapy approaches.
  • A new method was developed that combines expert insights and data augmentation to improve predictions of tumor infiltration using preoperative magnetic resonance imaging (mpMRI) scans from 229 patients.
  • The model was validated through cross-institutional tests, showing varying effectiveness in predicting tumor recurrence, with odds ratios indicating strong potential for guiding targeted treatment strategies.
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Article Synopsis
  • A study examined how molecular features, clinical metrics, and treatment affect the overall survival of glioma patients amidst recent changes in classification and care standards.
  • The research involved analyzing 4,400 gliomas from various sources, finding that 27.2% had updated molecular classifications that differed from their initial diagnoses; survival rates varied significantly between different patient groups.
  • The study identified key prognostic factors for different glioma types and created survival prediction tools based on age, molecular features, and treatment, aiming to enhance understanding and research on gliomas.
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Multi-scale signaling and tumor evolution in high-grade gliomas.

Cancer Cell

July 2024

Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA. Electronic address:

Article Synopsis
  • Despite extensive research on genomic changes in glioblastoma, the survival rate remains under 5% after five years.
  • This study aims to broaden the understanding of high-grade glioma by combining various biological analyses (proteomics, metabolomics, etc.) to identify complex regulatory mechanisms involved in tumor growth and progression.
  • Results from analysis of 228 tumors indicate significant variability in early-stage changes, but they converge on common outcomes affecting protein interactions and modifications, highlighting PTPN11's crucial role in high-grade gliomas.
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Purpose: The National Cancer Institute-Children's Oncology Group (NCI-COG) Pediatric MATCH trial assigns patients age 1-21 years with refractory malignancies to phase II treatment arms of molecularly targeted therapies on the basis of genetic alterations detected in their tumor. Patients with activating alterations in the mitogen-activated protein kinase pathway were treated with ulixertinib, an extracellular signal-regulated kinase (ERK)1/2 inhibitor.

Methods: As there were no previous pediatric data, ulixertinib was initially tested in a dose escalation cohort to establish the recommended phase II dose (RP2D) before proceeding to the phase II cohort.

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Evaluation of somatic copy number variation detection by NGS technologies and bioinformatics tools on a hyper-diploid cancer genome.

Genome Biol

June 2024

Computational Genomics and Bioinformatics Branch, Center for Biomedical Informatics and Information Technology (CBIIT), National Cancer Institute, Rockville, MD, USA.

Background: Copy number variation (CNV) is a key genetic characteristic for cancer diagnostics and can be used as a biomarker for the selection of therapeutic treatments. Using data sets established in our previous study, we benchmark the performance of cancer CNV calling by six most recent and commonly used software tools on their detection accuracy, sensitivity, and reproducibility. In comparison to other orthogonal methods, such as microarray and Bionano, we also explore the consistency of CNV calling across different technologies on a challenging genome.

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Background: This is a phase II subprotocol of the NCI-COG Pediatric MATCH study evaluating vemurafenib, a selective oral inhibitor of BRAF V600 mutated kinase, in patients with relapsed or refractory solid tumors harboring BRAF V600 mutations.

Methods: Patients received vemurafenib at 550 mg/m2 (maximum 960 mg/dose) orally twice daily for 28-day cycles until progression or intolerable toxicity. The primary aim was to determine the objective response rate and secondary objectives included estimating progression-free survival and assessing the tolerability of vemurafenib.

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Background: The National Cancer Institute-Children's Oncology Group Pediatric Molecular Analysis for Therapy Choice (MATCH) precision oncology platform trial enrolled children aged 1-21 years with treatment-refractory solid tumors and predefined actionable genetic alterations. Patients with tumors harboring alterations in DNA damage repair (DDR) genes were assigned to receive olaparib.

Methods: Tumor and blood samples were submitted for centralized molecular testing.

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Shooting the moon: the National Cancer Institute's implementation framework for data sharing policies.

Nat Med

August 2024

Office of Data Sharing, Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.

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Article Synopsis
  • The study aimed to explore sex-based differences in patients with glioblastoma to enhance personalized treatment and improve outcomes, focusing on differences in tumor parameters and survival.
  • Data from 1832 patients was analyzed, revealing that women were diagnosed at an older median age and had lower tumor volumes compared to men, who generally had higher performance scores.
  • Despite these differences in tumor characteristics, the research found no significant discrepancies in survival outcomes or mortality rates between sexes, although certain factors like age and treatment type influenced mortality risk for both genders.
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DNA methylation at cytosine bases of eukaryotic DNA (5-methylcytosine, 5mC) is a heritable epigenetic mark that can regulate gene expression in health and disease. Enzymes that metabolize 5mC have been well-characterized, yet the discovery of endogenously produced signaling molecules that regulate DNA methyl-modifying machinery have not been described. Herein, we report that the free radical signaling molecule nitric oxide (NO) can directly inhibit the Fe(II)/2-OG-dependent DNA demethylases ten-eleven translocation (TET) and human AlkB homolog 2 (ALKBH2).

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Article Synopsis
  • Glioblastoma (GB) is the most common and aggressive brain tumor, primarily affecting older adults with a median age of 64, and treatment increases survival but also leads to adverse side effects.
  • A study using the SEER-Medicare dataset found that males were more likely to receive standard treatment for GB compared to females, who were more often untreated.
  • The research also revealed distinct sex differences in adverse events, with females experiencing more gastrointestinal and blood disorders, while males faced higher rates of cardiac and renal issues after treatment.*
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In recent years, the role of Artificial Intelligence (AI) in medical imaging has become increasingly prominent, with the majority of AI applications approved by the FDA being in imaging and radiology in 2023. The surge in AI model development to tackle clinical challenges underscores the necessity for preparing high-quality medical imaging data. Proper data preparation is crucial as it fosters the creation of standardized and reproducible AI models while minimizing biases.

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