Skip Nav Destination

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

SUBMIT TO JOURNAL

Latest in Emerging Technologies and Data Science

January 23 2025

Clinical Proteomics Reveals Vulnerabilities in Noninvasive Breast Ductal Carcinoma and Drives Personalized Treatment Strategies

Georgia Mitsa, Livia Florianova et al.

Ductal carcinoma in situ (DCIS) is the most common type (80%) of noninvasive breast lesions in women. The lack of validated prognostic markers, limited patient numbers, and variable tissue quality have a significant impact on the diagnosis, risk stratification, patient enrollment, and results of clinical studies. In this ...

January 20 2025

A melanoma brain metastasis CTC signature and CTC:B cell clusters associate with secondary liver metastasis: a melanoma brain-liver metastasis axis

Tetiana Y Bowley, Mireya C Ortiz et al.

Melanoma brain metastasis (MBM) is linked to dismal prognosis, low overall survival, and is detected in up to 80% of patients at autopsy. Circulating tumor cells (CTCs) are the smallest functional units of cancer and precursors of fatal metastasis. We previously employed an unbiased multilevel approach to discover a ...

January 16 2025

Single-Cell RNA Sequencing before and after Light Chain Escape Reveals Intrapatient Multiple Myeloma Subpopulations with Divergent Osteolytic Gene Expression

Denis Ohlstrom, Zachary J. Walker et al.

High-risk multiple myeloma is genomically unstable, comprising heterogeneous populations of tumor cells that evolve over time. Light chain escape (LCE) is a clinical phenomenon observed when light chains rise separately from M-spike values, which implies divergent tumor evolution. We sought to understand LCE by performing ...

January 13 2025

Ternary complex components responsible for rapid LDL internalization as biomarkers for breast cancer associated with proliferation and early recurrence.

Elizabeth S McDonald, Tien-Chi Pan et al.

January 13 2025

Loss of NF1 accelerates uveal and intra-dermal melanoma tumorigenesis and oncogenic GNAQ transforms Schwann cells

Anne Nathalie Longakit, Oscar Urtatiz et al.

NF1 encodes the multifunctional tumour suppressor protein, neurofibromin, which is best known for its causative role in Neurofibromatosis type 1 and in regulating MAPK signaling. Neurofibromin, in a context-specific manner, is involved in various tumorigenic processes, including those in melanocytes. This study ...

January 09 2025

Clonal Hematopoiesis of Indeterminate Potential and its Association with Treatment Outcomes and Adverse Events in Patients with Solid Tumors

Tharani Krishnan, Joao Paulo Solar Vasconcelos et al.

Clonal hematopoiesis of indeterminate potential (CHIP) is the clonal expansion of hematopoietic stem cells from somatic mutations. It is a common incidental finding in cell-free DNA (cfDNA). We investigated the incidence of CHIP in cfDNA from patients with solid tumors and explored its association with treatment outcomes ...

January 09 2025

Targeting pancreatic cancer cell stemness by blocking fibronectin-binding integrins on cancer-associated fibroblasts

Chengsheng Wu, Tami von Schalscha et al.

Cancer-associated fibroblasts (CAF) generate an extracellular matrix (ECM) which provides a repository for factors that promote pancreatic cancer progression. Here, we establish that CAF contribution to pancreatic tumor initiation, i.e. stemness, depends on fibronectin (FN) as a scaffold required for assembly of a ...

January 06 2025

Serially quantifying TERT rearrangement breakpoints in circulating tumor DNA enables minimal residual disease monitoring in patients with neuroblastoma

Jan F. Hollander, Annabell Szymansky et al.

December 31 2024

A cost-effective two-step approach for multi-cancer early detection in high-risk populations

Shuaipeng Geng, Shiyong Li et al.

In population-wide cancer screening, three key issues need to be focused on: number of cancer cases identified, number of false positives, and cost. OncoSeek is a multi-cancer early detection (MCED) test using seven protein tumor markers (PTMs) and artificial intelligence (AI). SeekInCare is an MCED test that integrates ...

December 30 2024

Tumor Expression of CD83 Reduces Glioma Progression and Is Associated with Reduced Immunosuppression

Malcolm F. McDonald, Rachel Naomi Curry et al.

Malignant glioma, the most lethal form of brain cancer, presents with an immunosuppressive microenvironment that obstructs tumor cell clearance and hampers immunotherapeutic interventions. Despite advancements in characterizing cellular and extracellular profiles in cancer, the immunosuppressive mechanisms specific to ...

View all Emerging Technologies and Data Science articles

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

Topics in Emerging Technologies and Data Science

AACR Journals

This Feature Is Available To Subscribers Only