There is an unmet need for new therapies in metastatic ovarian cancer and basal-like breast cancer since no curative therapies are currently available. Immunotherapy has shown to be active in several solid tumors, but particularly more in those where a pre-activated immune state does exist. In this work, we aim to identify biomarkers that could distinguish immune-activated tumors and predict response to therapies in ovarian and basal-like breast cancer, as well as their association with the level of tumor immune infiltration. We found that the combined expression of IFNG, CD30, CXCL13, and PRF1 correlated with better overall survival (OS) in advanced stage ovarian cancer. This was confirmed using an independent dataset from TCGA. Interestingly, we observed that this gene combination also predicted for better prognosis in ovarian tumors with low mutational load, which typically respond less to immunotherapy. Expression of IFNG, CD30, CXCL13, and PRF1 was associated with increased level of immune infiltrates (CD8 T cells, dendritic cells, and neutrophils) within the tumor. Moreover, we found that these gene signature also correlated with an increased OS and with a higher level of tumor immune infiltrates (B cells, CD8 T cells, CD4 T cells, neutrophils, and dendritic cells) in basal-like breast cancer. In conclusion, our analysis identifies genes signatures with potential to recognize immune activated ovarian and basal-like breast cancers with favorable prognosis and with a remarkable predictive capacity in tumors with low mutational burden. The presented results led to a hypothesis being formulated, but prospective clinical studies are needed to support a potential clinical application.Copyright © 2020 Alcaraz-Sanabria, Baliu-Piqué, Saiz-Ladera, Rojas, Manzano, Marquina, Casado, Cimas, Pérez-Segura, Pandiella, Gyorffy and Ocana.
Relationship between occupational dust exposure levels and mental health symptoms among Korean workers.
February 18, 2020
Diabetes mellitus is associated with high sleep-time systolic blood pressure and non-dipping pattern.
March 30, 2020
Machine learning-based automated classification of headache disorders using patient-reported questionnaires.
August 24, 2020
- ASCO – Lung CancerASCO.20 Virtual Scientific Program, held May 29 - 31, brought professionals from all over the world together to hear the brightest minds in oncology present state-of-the-art treatment modalities and new therapies.
- AACR-2020The American Association for Cancer Research is the world's oldest and largest professional association related to cancer research.
- ACC 2020The American College of Cardiology decided to cancel ACC.20/WCC due to COVID-19, which was scheduled to take place March 28-30 in Chicago. However, ACC.20/WCC Virtual Meeting continues to release cutting edge science and practice changing updates for cardiovascular professionals on demand and free through June 2020.
- ASCO 2019The 2019 ASCO Annual Meeting, taking place May 31-June 4 in Chicago, will bring together more than 32,000 oncology professionals from across the globe. The theme of this year’s conference is Caring for Every Patient, Learning From Every Patient.