This trial aims to study the effectiveness of two different wellness-based mobile apps on blood cancer patient outcomes, including sleep, fatigue, anxiety, depression, and blood biomarkers of inflammation (TNF-a, IL-6, IL-8, CRP). The findings of this study may help physicians and researchers better understand how mobile wellness mobile apps can help in managing symptom burden and inflammation in blood cancer patients.

This screening and multi-sub-study randomized phase II/III trial will establish a method for genomic screening of similar large cancer populations followed by assigning and accruing simultaneously to a multi-sub-study hybrid ?Master Protocol? (S1400). The type of cancer trait (biomarker) will determine to which sub-study, within this protocol, a participant will be assigned to compare new targeted cancer therapy, designed to block the growth and spread of cancer, or combinations to standard of care therapy with the ultimate goal of being able to approve new targeted therapies in this setting. In addition, the protocol includes a ?non-match? sub-study which will include all screened patients not eligible for any of the biomarker-driven sub-studies. This sub-study will compare a non-match therapy to standard of care also with the goal of approval.

To examine whether rapamycin can reduce malignant markers and aberrant mammary stem/progenitor cells (MaSCs) number in surgical specimens

TLI and UTHSCSA will be participating in projects 2 and 4 ,To examine cirrhotic patients and their risk factors for developing liver cancer . Researchers hope to improve ability to prevent liver cancer , and to better identify patients at higher risk for developing liver cancer at an early stage. C. Early detection of HCC in patients with cirrhosis remains suboptimal. The efficacy of HCC surveillance for the early detection of HCC is a subject of intense debate due to the lack of sensitive and specific biomarkers that are well validated in prospective studies. Further, implementation of surveillance in practice is very low. The MIRA aims to develop novel, urgently needed, and highly effective surveillance biomarkers of patients with cirrhosis, and improve the utilization of currently available surveillance strategies. Project 2: Metabolic Syndrome and Risk Prediction of Hepatocellular Carcinoma (PI: H El-Serag). This project will develop risk stratification algorithms based on demographic, clinical, molecular and epidemiological risk profiles to identify cirrhotic patients who might benefit from chemoprevention or intensive surveillance. Our proposed multicenter prospective cohort study of >4000 patients with cirrhosis and up to 4 year follow up (a conservative estimate of 300 new HCC cases) will be the largest cohort study of cirrhotic patients assembled in Texas (and U.S). We will evaluate phenotypic (including molecular endophenotypes) and genotypic aspects of MetS as well as established risk factors.Project 4: Novel Biomarkers for Hepatocellular Carcinoma (PI: L Beretta). This project will identify and validate novel biomarkers for risk stratification and early HCC detection. Although several biomarkers have supporting pre-clinical (phase 1) and case-control (phase 2) data, few have been evaluated in retrospective cohort (phase 3) or prospective cohort (phase 4) studies. The prospective Texas multicenter cohort study of cirrhosis patients (i.e. Phase 3) in which 300 HCC cases will be compared to 600 controls nested in this cohort. We will validate several promising existing markers as well as aim to discover novel biomarkers for HCC detection.