melanoma

Administering immunotherapy when the tumor microenvironment is most susceptible to T cells enhances treatment efficacy in mice.

A nutrient-based nanomedicine stopped runaway tumor growth in mice by firing up a latent metabolic pathway.

In this webinar, Evelyn Lattmann will discuss how she examined melanoma cell morphology without labels using an AI-based microscope system.  

Researchers at KU Leuven specialize in performing a multiplex immunohistochemistry method that uses conventional antibodies and pathologist-driven data analysis.

Researchers turn to high resolution sequencing to explain recurrent melanoma mutations caused by UV exposure.

Scientists present the latest research on immune cell responses to cancer, the role of epigenetics in cancer, and molecular imaging of the tumor microenvironment.

Two studies in mice now show that researchers can control when and where CAR T cells are active, potentially overcoming previous hurdles for CAR T–based treatments.

This year’s fourth-place winner of the 2022 Nikon Small World in Motion competition shows dying melanoma cells.

When coated with positively charged particles, the bacteria shuttled antigens out of tumors and activated the immune system, a study finds.

Scientists combine medical care with biobanking and research to develop personalized treatments for cancer patients.

Targeted cancer therapy may jeopardize the effectiveness of subsequent immunotherapy by reducing dendritic cell numbers and activation, according to study of mice and patient samples.

After controlling for high levels of bacterial contamination in their lab and reagents, researchers detect microbial genetic material in plasma samples from healthy people and cancer patients.

The color morph’s bright yellow hue and its propensity for skin tumors both likely stem from a gene implicated in a dangerous form of human skin cancer, suggesting the animals could make an ideal model for studying the disease.

Researchers say evidence of hybridization between leukocytes and cancer indicates that this is a primary means of metastasis. Others disagree.

While machine learning could improve detection of tumors at their earliest stages, it also risks identifying malignancies that would never cause the patient any harm.

Download this research summary to learn about how single-cell proteomics and metabolomics methods unlock drug resistance mechanisms!

Over nearly 50 years, the Monell Chemical Senses Center chemist investigated a range of topics, from the smell of cancer to body odor’s effects on human physiology and behavior.

A deep neural network can help determine how likely cancer cells are to metastasize.

The field is young, but predicting antigens produced by patients’ malignant cells could yield successful treatments for individuals with a range of cancer types.