The Physicians Committee

Breaking Research News - cancer

Computational Method for Cancer Drug Development

Researchers used a mathematical method to convert genome-wide data on gene expression and epigenetic modifications (i.e., DNA modifications that regulate gene expression) from a human cancer stem cell line to a readily analyzable format and applied it to identify critical genes relating to cancer development and drug resistance. 

New Method to Predict Survival for Gastric Cancer Patients

Using gastric cancer biopsies from 77 patients, scientists recently identified a panel of proteins (BRF1, BRCA1/2, and MPO) induced by alcohol consumption that can predict the recurrence of the cancer, the overall survival, and the response to platinum-based adjuvant chemotherapy.

Blueberries May Boost Cancer-Fighting Power of Radiation Treatment

Using a cervical cancer cell line, scientists demonstrated that nutrients from blueberries can boost the cancer-fighting power of radiation treatments from 20-70 percent by increasing cancer cell death and inhibiting cancer cell growth.

Human Lung-on-Chip Model Reveals How Breathing Regulates Lung Cancer

Researchers recently used a lung-on-chip model to study human lung cancer cell growth in response to drugs and breathing.

Faster, Cheaper Test for Guiding Breast Cancer Treatment

Chemotherapy is a nonspecific way of killing off cancer cells with drugs that is often accompanied by many toxic side effects. About 70 percent of breast cancer patients are diagnosed with a tumor containing estrogen receptors (ER), which requires treatment with hormones but not necessarily chemotherapy. Whether a patient needs chemotherapy depends on the aggressiveness of the tumor, which is currently determined by an expensive laboratory test that requires tissue biopsy and time to ship and run the test.

Cellular/Computational Model Could Predict Breast Cancer Metastasis

Defining in advance whether breast cancer might invade other organs of the body (a process called metastasis) will help guide treatment options (i.e., conservative versus aggressive treatments). A group of researchers has recently developed a new cellular (in vitro) and computational model that could help predict the risk of metastasis for patients affected by breast cancer.

Microsensor Array May Diagnose Breast Cancer Early

Breast cancer is characterized by progressive modifications of the microenvironment of mammary tissue. Being able to monitor these tissue changes can be critical to improving clinicians’ diagnoses and designing early intervention strategies.