Project description:Breast cancer (BC) recovery has considerably increased thanks to the advances achieved from research in this field. However, despite the important results obtained, BC remains a complex multifactorial disease with distinct subtypes associated with different outcomes.So, many efforts from radiobiological research are needed to help clinicians in understanding molecular features of a specific tumor subtype, in order to better define the most successful treatment plan, including the choice of the best Radiation Teraphy (RT) modality and schedule in clinical practice. The aim of the present study was to analyze the GEPs in primary breast cancer cells following irradiation with doses of 9 Gy and 23 Gy electron beam delivered by IOERT treatment, in order to define gene signatures of response to high doses of IR.
Project description:Today, Radiation therapy (RT) regimens are often used for many types of cancer including breast cancer (BC) disease. BC is an heterogeneous disease, at both clinical and molecular levels, presenting distinct subtypes associated with different clinical outcomes. This variability response may be caused by some factors linked to radiation or dependent to BC specific features such as tumor stage and hormone receptor (HR) status. We analyze and compare molecular responses, in term of gene expression profile (GEP) changes, induced by 9 and 23Gy of ionizing radiation (IR) in immortalized and primary cell cultures grouped according their Estrogen (ER) and Progesteron (PR) receptors positive or negative expression. Our explorative study gives some comprehensive hallmarks of the effects of the irradiation in BC cells. We trust that this study could have a role in driving RT towards personalised treatments, based also on the molecular characterization in BC.
Project description:This SuperSeries is composed of the following subset Series: GSE6871: Gene expression signatures that predict radiation exposure (human) GSE6873: Gene expression signatures that predict radiation exposure (mouse) Keywords: SuperSeries Refer to individual Series
Project description:Several molecular signatures are able to predict the activity of adjuvant chemotherapy in breast cancer patients. However, no molecular data are already available to detect microenvironment molecular signature that can identify patients who are good candidates for treatment with immune checkpoint inhibitors (ICIs). For this reason, in a series of women with operable high grade breast cancer (HGBC), we tried to combine the ECM3 and IFN molecular signatures reflecting different aspects of tumor microenvironment that can better draw the picture of the tumor microenvironment in which the immune cells are in close contact with extracellular matrix. Grade 3 primary tumors
Project description:Expression profile of human GEP-NET tumors, including 113 fresh frozen biopsies of primary and metastatic tumours originating from pancreas (P-NET, 83 primary and 30 metastasis), 81 from small intestine (SI-NET, 44 primary and 37 metastasis), and 18 from rectum (RE-NET, 3 primary and 15 metastasis).