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Oncology & Cancer news

Oncology & Cancer

Improving cancer immunotherapy by prolonging T-cell survival

In the past decade, immunotherapy has emerged as the fourth pillar of cancer treatment, joining surgery, radiotherapy and chemotherapy. It is an approved treatment for 15 cancers, including melanoma and some types of lymphomas ...

Oncology & Cancer

Hitchhiking of synthetic antigen stimulates antibody production against cancer cells

Researchers at the Indian Institute of Science (IISc) have designed a synthetic compound (antigen) that can latch on to a protein in blood and hitchhike a ride to the lymph node, where it can boost the production of antibodies ...

Oncology & Cancer

Genetically engineering a treatment for incurable brain tumors

Purdue University researchers are developing and validating a patent-pending treatment for incurable glioblastoma brain tumors. Glioblastomas are almost always lethal with a median survival time of 14 months. Traditional ...

Oncology & Cancer

Expert reviews the current state of retinoblastoma research

Retinoblastoma is a rare pediatric cancer, with approximately 250–300 new cases per year in the United States and 8,000 worldwide. The cancer grows within the retina, a thin layer of cells at the back of the eye, and is ...

Oncology & Cancer

Using AI to trace the origins of metastatic cancer cells

A large team of cancer researchers affiliated with several institutions in China, working with a pair of colleagues in the U.S., has found that artificial intelligence applications can be used to trace the origins of metastatic ...

Oncology & Cancer

Tumor deposits in colorectal and gastric cancers

Tumor deposits (TDs), initially recognized in colorectal cancer, have been identified in various other cancer types, including gastric cancer. It is defined as aggregates of tumor cells found in adipose and fibrous tissues ...

Oncology & Cancer

Researchers identify patterns that predict ovarian cancer relapse

Using spatial analysis of tissue samples, Cedars-Sinai investigators have identified patterns that could predict whether patients with the most common type of ovarian cancer will experience early relapse after treatment. ...