Fox Chase Cancer Center News

Through collaboration between Fox Chase Cancer Center and Temple Health, patients have more hope and are living longer thanks to advanced screening, precision medicine, and a level of multidisciplinary expertise that’s setting new standards nationwide.

A new type of treatment called tumor-infiltrating lymphocyte (TIL) therapy is offering patients with melanoma more hope and another chance.

A Fox Chase Cancer Center study found that outpatient observation cut hospital stays dramatically, with no adverse safety events reported. It also freed up inpatient beds and cut healthcare costs.

A Fox Chase Cancer Center study found that measuring a patient’s absolute lymphocyte count can predict how well they’ll respond to the therapy for non-Hodgkin lymphoma. It could offer a practical tool for guiding treatment decisions.

Using the first-ever prostate cancer cell line from an Afro-Caribbean patient, investigators at Fox Chase Cancer Center and other members of the African Caribbean Cancer Consortium uncovered significant differences in how cancer drugs work across ancestries. These differences may help explain why, despite advances in treatment, Black men die from prostate cancer at twice the rate of White men.

For more than a decade, a class of drugs called spliceosome inhibitors has been studied as a strategy for killing cancer cells. Now, new research by Fox Chase Cancer Center scientists suggests that these drugs may be more effective as a tool to supercharge immunotherapy, drugs that harness the power of the body’s immune system, in small cell lung cancer.

Fox Chase Cancer Center’s Namrata ‘Neena’ Vijayvergia, MD, an expert in gastrointestinal cancers and rare neuroendocrine tumors, was recently recognized by two neuroendocrine tumor advocacy groups for her contributions to the field.

Researchers at Fox Chase Cancer Center, Temple University’s College of Engineering, and the Lewis Katz School of Medicine at Temple University have developed a new method that enhances the ability of artificial intelligence models to detect and diagnose skin cancer in individuals with darker skin.