New tool using 2D images to measure cancer risk
the ONA take:
Portuguese researchers developed a method of identifying cancer risk that uses images of a protein in a population of cells to quantify how much of the protein and where it is in the cell. The novel method was tested on cells with mutated e-cadherin, a tumor suppressor protein.
The mutation produces malfunctioning e-cadherin that causes human diffuse gastric cancer (HDGC). Gastric cancer is the fourth most common type of cancer in the world, and up to 3% of cases are HDGC. Mortality rates among patients with HDGC are high because the disease is challenging to diagnose early. E-cadherin functions as an adhesion protein that holds epithelial cells together; however, the mutated protein results in a mass of free-floating cancer cells that move and spread easily. HDGC has nonspecific symptoms, such as stomach acidity and burping, which further complicate diagnosis.
In addition, the malfunctioning e-cadherin leaves the membrane and is destroyed inside the cell. Without clear symptomatology, early diagnosis relies on searching for the lack of e-cadherin on the membrane. Test results for this effect are not reliable. The new method’s algorithm allows researchers to select more representative cells for testing.
How it works is that software designed to compute data from fluorescence images of the protein in a cell population generates a map of the protein distribution. The software then constructs 2D virtual images of a typical cell in that population, allowing researchers—and in the future clinicians—to measure the level of e-cadherin in the cell and predict the patient’s risk for HDGC.
This study focused on HDGC; however, e-cadherin mutations are known to be involved in other cancers as well, including breast, colorectal, thyroid, and ovarian cancers. The results from this study could also be applied to these cancers.
New method of identifying cancer risk that uses images of a protein in a population of cells.
Sign Up for Free e-newsletters
- Avoiding the ED: Planned Strategies for Unplanned Urgent Cancer Care
- NP-Led Clinics Improved Phase 1 Oncology Study Operations, Outcomes
- Art as Palliative Care: Bedside Intervention Improves Pain, Anxiety, Mood in Hospitalized Cancer Patients
- Unprotected Sex After Chemotherapy
- Mindfulness Training May Improve End-of-Life Conversations in Advanced Cancer
- Prognostic Factors for Survival Among Patients With Primary Bone Sarcomas of Small Bones
- Exercise Habits Influence Mortality in Adult Survivors of Childhood Cancer
- A Call for More Tailored Cancer Education Programs to Improve Screening
- Aligning Patient Goals With End of Life Treatment Decisions
- Study Suggests Greater Focus on the Needs of Family Caregivers of Patients With Cancer
Regimen and Drug Listings
GET FULL LISTINGS OF TREATMENT Regimens and Drug INFORMATION
|Head and Neck Cancer||Regimens||Drugs|