Findings may guide doctors to choose better therapies for patients with myeloma

The "molecular mail" sent by multiple myeloma cells provides clues to how well patients with the disease are likely to respond to treatment, according to a study being presented at the annual meeting of the American Society of Hematology (ASH) by researchers at Dana-Farber Cancer Institute.

The findings - to be presented in poster form on December 6, from 5:30 PM to 7:30 PM, in the West Building, Level 1 - may ultimately guide doctors in deciding which therapies are best for individual patients with myeloma, the study authors say.

The study focused on exosomes, tiny sacs that cells release into the bloodstream as a way of communicating with other cells. The exosomes contain microRNA molecules, fragments of RNA that help control the activity of genes. The type of microRNA molecule in each exosome holds a specific message - an order to be conveyed to another cell.

In the study, researchers isolated exosomes from the blood of 10 patients with myeloma and five healthy volunteers, and extracted the microRNA molecules. They found the two groups harbored sharp differences in the levels of many microRNAs.

The researchers then tested for 24 specific types of microRNAs in blood samples from 112 myeloma patients who were participating in a French clinical trial of a new drug. By tracking the results against several years of patients' health data, they explored whether high or low levels of any of these microRNAs were associated with a particularly good or bad prognosis.

They found that patients with low amounts of two microRNAs - known as let-7e and 106b/25 - survived for less time before their disease began to worsen than did the other patients.

"Our results indicate that blood levels of these two microRNAs can help predict progression-free survival - the average amount of time before the disease advances - in myeloma patients who have yet to be treated," said the study's lead author, Salomon Manier, MD, of Dana-Farber. In addition to serving as a prognostic tool, the level of these microRNAs may eventually help doctors determine which patients are likely to have the best responses to different types of therapy, he comments.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Deep learning revolutionizes RNA 3D structure prediction with RhoFold+