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Emerging Technologies and Data Science

Studies, methods, and large datasets that employ computational biology, high-throughput techniques, imaging, physical sciences, or engineering to investigate cancer biology

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Latest in Emerging Technologies and Data Science

September 25 2023

HER2-Selective and Reversible Tyrosine Kinase Inhibitor Tucatinib Potentiates the Activity of T-DM1 in Preclinical Models of HER2-positive Breast Cancer

Devra Olson, Janelle Taylor et al.

The oncogenic receptor HER2 is overexpressed in many cancers, including up to 20% of breast cancers. Despite the availability of HER2-targeted treatments, patients’ disease often progresses during therapy, underscoring the need for novel treatment strategies. The addition of tucatinib, a reversible, highly selective HER2 ...

September 21 2023

Chromatin accessibility landscape of human triple-negative breast cancer cell lines reveals variation by patient donor ancestry

Alexandra R Harris, Gatikrushna Panigrahi et al.

African American (AA) women have an excessive risk of developing triple-negative breast cancer (TNBC). We employed ATAC-sequencing to characterize differences in chromatin accessibility between 9 commonly used TNBC cell lines derived from patients of European and African ancestry. Principal component and chromosome ...

September 20 2023

Metastatic competency and tumor spheroid formation are independent cell states governed by RB in lung adenocarcinoma

Nelson F. Freeburg, Nia Peterson et al.

Inactivation of the retinoblastoma (RB) tumor suppressor in lung adenocarcinoma is associated with the rapid acquisition of metastatic ability and the loss of lung cell lineage commitment. We previously showed that restoration of RB in advanced lung adenocarcinomas in the mouse was correlated with a decreased frequency of ...

September 18 2023

Integrated Molecular Characterization of Intraductal Papillary Mucinous Neoplasms: An NCI Cancer Moonshot Precancer Atlas Pilot Project

Alexander Semaan, Vincent Bernard et al.

Intraductal papillary mucinous neoplasms (IPMNs) are cystic precursor lesions to pancreatic ductal adenocarcinoma (PDAC). IPMNs undergo multistep progression from low grade (LG) to high grade (HG) dysplasia, culminating in invasive neoplasia. While patterns of IPMN progression have been analyzed using multi-region ...

September 18 2023

Accelerating Cancer Histopathology Workflows with Chemical Imaging and Machine Learning

Kianoush Falahkheirkhah, Sudipta S. Mukherjee et al.

Histopathology has remained a cornerstone for biomedical tissue assessment for over a century, with a resource-intensive workflow involving biopsy or excision, gross examination, sampling, tissue processing to snap frozen or formalin-fixed paraffin-embedded blocks, sectioning, staining, optical imaging, and microscopic ...

September 13 2023

Serum Free Fatty Acid Changes Caused by High Expression of Stearoyl-CoA Desaturase 1 in Tumor Tissues Are Early Diagnostic Markers for Ovarian Cancer

Kanoko Katoh, Yuki Katoh et al.

Ovarian cancer has a poor prognosis and is difficult to detect in early stages. Therefore, developing new diagnostic markers for early-stage ovarian cancer is critical. Here, we developed a diagnostic marker for early-stage ovarian cancer on the basis of fatty acid metabolism characteristics of cancer cells. The ...

September 12 2023

Effects and Eradication of Mycoplasma Contamination on Patient-Derived Colorectal Cancer Organoid Cultures

Divya L Dayanidhi, Wylie K Watlington et al.

Patient-derived organoids are a useful platform for identification and testing of novel precision oncology approaches. Patient-derived organoids are generated by direct culture of patient samples. However, prior to development into patient-derived organoids, these samples are often processed for clinical use, opening the ...

September 07 2023

A Druggable FOXA1-Glucocorticoid Receptor Transcriptional Axis Drives Tumor Growth in a Subset of Non-Small Cell Lung Cancer

M. Dorso, Payal T. Patel et al.

The FOXA1 pioneer factor is an essential mediator of steroid receptor function in multiple hormone-dependent cancers, including breast and prostate cancers, enabling nuclear receptors such as estrogen receptor (ER) and androgen receptor (AR) to activate lineage-specific growth programs. FOXA1 is also highly expressed in ...

September 05 2023

Single-cell Profiling Uncovers a Muc4-Expressing Metaplastic Gastric Cell Type Sustained by Helicobacter pylori-driven Inflammation

Valerie P. O'Brien, Yuqi Kang et al.

Mechanisms for Helicobacter pylori (Hp)-driven stomach cancer are not fully understood. In a transgenic mouse model of gastric preneoplasia, concomitant Hp infection and induction of constitutively active KRAS (Hp+KRAS+) alters metaplasia phenotypes and elicits greater inflammation than either perturbation alone. Gastric ...

August 30 2023

Whole-genome CpG-resolution DNA Methylation Profiling of HNSCC Reveals Distinct Mechanisms of Carcinogenesis for Fine-scale HPV+ Cancer Subtypes

Tingting Qin, Shiting Li et al.

DNA methylation is a vital early step in carcinogenesis. Most findings of aberrant DNA methylation in head and neck squamous cell carcinomas (HNSCC) are array based with limited coverage and resolution, and mainly explored by human papillomavirus (HPV) status, ignoring the high heterogeneity of this disease. In this ...

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Topics in Emerging Technologies and Data Science

Expand/Collapse Section CHEMISTRY & CHEMICAL BIOLOGY
Expand/Collapse Section PROTEOMICS
Expand/Collapse Section SYSTEMS BIOLOGY
Expand/Collapse Section BIOPHYSICAL TECHNOLOGIES
- Nuclear magnetic resonance
- X-ray crystallography
Expand/Collapse Section BIOSTATISTICS
Expand/Collapse Section COMPUTATIONAL METHODS
- Artificial intelligence & machine learning
- Gene expression profiling
- Algorithms
- Database resources
- Mathematical modeling
- Molecular modeling
- Sequence analysis
- Software
Expand/Collapse Section DRUG DISCOVERY TECHNOLOGIES
- Novel assay technology
- Screening strategies (assays and chemical libraries)
- Natural products
- Synthesis
- Structural studies
- Computational methods
Expand/Collapse Section ENGINEERING
Expand/Collapse Section GENE TECHNOLOGIES
- Cytogenetics
- Comparative genomics
- Mutation detection methods
- Microarrays
- High-throughput sequencing
Expand/Collapse Section IMAGING
- Magnetic resonance imaging (MRI)
- X-ray computed tomography (CT)
- Positron emission tomography (PET)
- Ultrasound/Photoacoustics
- Small animal imaging
- Imaging probes
Expand/Collapse Section LIQUID BIOPSY
Expand/Collapse Section MATERIAL SCIENCE
Expand/Collapse Section PRECLINICAL MODELS
- Animal models of cancer
- In vitro models of cancer
- Organoids
- Xenograft models
Expand/Collapse Section PROTEIN TECHNOLOGIES
Expand/Collapse Section SINGLE CELL TECHNOLOGIES

Emerging Technologies and Data Science

Tweets by @CRC_AACR

Topics in Emerging Technologies and Data Science

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