Browse Articles

Identification of potential therapeutic targets for multiple myeloma by gene expression analysis

Kochenderfer et al. | Apr 26, 2024

Identification of potential therapeutic targets for multiple myeloma by gene expression analysis
Image credit: The authors

A central challenge of cancer therapy is identifying treatments that will effectively target cancer cells while minimizing effects on healthy cells. To identify potential targets for treating a multiple myeloma, a frequently incurable cancer, Kochenderfer and Kochenderfer analyze RNA sequencing data from the Cancer Cell Line Encyclopedia to find genes with high expression in multiple myeloma cells and low expression in normal tissues

Read More...

The Role of a Mask - Understanding the Performance of Deep Neural Networks to Detect, Segment, and Extract Cellular Nuclei from Microscopy Images

Dasgupta et al. | Jul 06, 2021

The Role of a Mask - Understanding the Performance of Deep Neural Networks to Detect, Segment, and Extract Cellular Nuclei from Microscopy Images

Cell segmentation is the task of identifying cell nuclei instances in fluorescence microscopy images. The goal of this paper is to benchmark the performance of representative deep learning techniques for cell nuclei segmentation using standard datasets and common evaluation criteria. This research establishes an important baseline for cell nuclei segmentation, enabling researchers to continually refine and deploy neural models for real-world clinical applications.

Read More...

Herbal formulation, HF1 diminishes tumorigenesis: a cytokine study between MCF-7 and BM-MSCs.

Guru et al. | Apr 11, 2022

Herbal formulation, HF1 diminishes tumorigenesis: a cytokine study between MCF-7 and BM-MSCs.

The authors use HF-1, an herbal formation, on bone marrow derived cells as well as breast cancer cells to assess HF-1's ability to prevent tumorigenesis. As metastasis requires coordination of multiple cells in the tumor microenvironment, their findings that HF-1 augments cytokine expression such as VEGF & TGF-B show that HF-1 has potential application to therapeutics.

Read More...

In vitro Comparison of Anticancer and Immunomodulatory Activities of Resveratrol and its Oligomers

Zhang et al. | Sep 02, 2020

<em>In vitro</em> Comparison of Anticancer and Immunomodulatory Activities of Resveratrol and its Oligomers

Resveratrol is a type of stillbenoid, a phenolic compound produced in plants, that is known for its anti-inflammatory and anticancer effects. Many oligomers of resveratrol have recently been isolated their bioactivities remain unknown. Here, authors compared the bioactivities of resveratrol with natural dimers (ε-viniferin and gnetin H) and trimers (suffruticosol B and C). Results provide preliminary evidence that resveratrol oligomers could be potential preventive or therapeutic agents for cancers and other immune-related diseases

Read More...

Application of gene therapy for reversing T-cell dysfunction in cancer

Hyun Lee et al. | Aug 25, 2022

Application of gene therapy for reversing T-cell dysfunction in cancer

Since cancer cells inhibit T-cell activity, the authors investigated a method to reverse T-cell disfunction with gene therapy, so that the T-cells would become effective once again in fighting cancer cells. They used the inhibition of proprotein convertases (PCSK1) in T cells and programmed death-ligand 1 (CD274) in cancer cells. They observed the recovery of IL-2 expression in Jurkat cells, with increased recovery noted in a co-culture sample. This study suggests a novel strategy to reactivate T cells.

Read More...