AIMC Topic: Neoplasms

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The Icarian flight of antibody-drug conjugates: target selection amidst complexity and tackling adverse impacts.

Protein & cell
Antibody-drug conjugates (ADCs) represent a promising class of targeted cancer therapeutics that combine the specificity of monoclonal antibodies with the potency of cytotoxic payloads. Despite their therapeutic potential, the use of ADCs faces signi...

Bacterial Therapeutics: Addressing the Affordability Gap in Cancer Therapy.

Cancer research
The global cancer care burden is projected to reach $25 trillion by 2050, with the United States experiencing increasing costs from $57 billion to $209 billion. The application of expensive cellular immunotherapies (exceeding $300,000 per treatment) ...

Pan-Cancer Spatial Profiling Reveals Conserved Subtypes and Niches of Cancer-Associated Fibroblasts.

Cancer research
Solid cancers are complex "ecosystems" comprised of diverse cell types and extracellular molecules, in which heterotypic interactions significantly influence disease etiology and therapeutic response. However, our current understanding of tumor micro...

Real-Time Dose-Guided Radiation Therapy.

International journal of radiation oncology, biology, physics
Dramatic strides have been made in real-time adaptive radiation therapy, where treating single tumors as dynamic but rigid bodies has demonstrated a halving of toxicities for prostate cancer. However, the human body is much more complex than a rigid ...

Target identification of natural products in cancer with chemical proteomics and artificial intelligence approaches.

Cancer biology & medicine
Natural products (NPs) have long been recognized for their therapeutic potential, especially in cancer treatment, due to an ability to interact with multiple cellular pathways. The identification of molecular targets for NPs is a critical step in und...

Cancer-on-a-chip for precision cancer medicine.

Lab on a chip
Many cancer therapies fail in clinical trials despite showing potent efficacy in preclinical studies. One of the key reasons is the adopted preclinical models cannot recapitulate the complex tumor microenvironment (TME) and reflect the heterogeneity ...

Iterative clustering algorithm G-DESC-E and pan-cancer key gene analysis based on single-cell sequencing data.

Briefings in bioinformatics
Single-cell sequencing technology has profoundly revolutionized the field of cancer genomics, enabling researchers to explore gene expression profiles at the resolution of individual cells. Despite its extensive applications in the study of cancer ge...

Paving a Path to Clinical Impact with Radiomics: Enabling Reproducibility and Reach.

Cancer research
Radiomics, the extraction of quantitative data from images, holds promise for noninvasively characterizing tumor phenotypes. Tools like LIFEx have improved the accessibility, transparency, and reproducibility of radiomic feature extraction by offerin...

Leveraging Whole-Exome Sequencing and Mutational Signatures to Detect Homologous Recombination Deficiency in Cancer.

Cancer research
Homologous recombination is a high-fidelity DNA repair mechanism essential for maintaining genome stability. Impairment of this pathway, often due to BRCA1 or BRCA2 inactivation, leads to homologous recombination deficiency (HRD), forcing cells to re...

Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality.

Cancer research
The integration of artificial intelligence (AI) in cancer research has significantly advanced radiology, pathology, and multimodal approaches, offering unprecedented capabilities in image analysis, diagnosis, and treatment planning. AI techniques pro...