Lymphoma Clinical Trials in Pittsburgh, PA

Cancer is amongst the leading causes of disease-related morbidity and mortality. A major challenge in cancer treatment is the development of biology-informed, personalised treatment strategies. Recent advances in artificial intelligence (AI) and next-generation sequencing (NGS) technologies have shed further insights into disease biology and treatment pathways, thus identifying new, precision medicine-based therapeutic opportunities. The biological mechanisms leading to cancer development and progression arise from complex and plastic networks of dysregulated cellular programs involving many signalling pathways and effector molecules. Cancer cells alter their surrounding environment via cell-cell interactions with non-tumor cells or by secreting cytokines, chemokines and other factors. This reprogramming of the tumour microenvironment (TME) is critical for cancer progression, invasion, and metastasis. Moreover, there are increasing studies that show that both innate and adaptive immune cell types contribute to tumorigenesis and treatment resistance when present within the TME. Understanding the crosstalk between cancer cells and the surrounding TME will inform on mechanisms of sensitivity and resistance to treatment, including immunotherapy (IO) and targeted therapies. Spatially resolved-Omics is an emerging field that characterises cell types by gene/protein expressions within their spatial context in the tissue organisation. Recent high profile spatial transcriptomics studies have uncovered specific cell identities that define the surrounding TME. The MOSAIC study, a collaborative initiative across industry and top oncology hospitals, proposes to go way beyond current cancer molecular profiling projects by combining the generation and analysis of multiple data modalities (3 essential mandatory modalities: Clinical Data, Hematoxylin and Eosin (H\&E) microscopic image, Spatial transcriptomics; up to 3 high priority data modalities depending on technical feasibility and sample size: bulk Ribonucleic Acid Sequencing (RNAseq), bulk Whole Exome Sequencing (WES), Single-cell transcriptomics; and potentially other optional data modalities and follow-up experiments such as single-cell omics, immunohistochemistry and spatial proteomics or other molecular profiling of proteins and molecules) on a minimum of 2,000 tumour samples across a different cancer indications. This will generate broad molecular and cellular profiling data of the tumour and its microenvironment from cancer patients, integrated with clinical data, at an unprecedented scale and resolution. This study will enroll patients diagnosed with one of the eligible cancer indications and for which a formalin fixed paraffin embedded (FFPE) tumor sample from already performed biopsy and/or surgical resection is available within their local pathology archive or their affiliate centers archives. The MOSAIC study expects to have a strong impact for patients in terms of new targeted therapeutic drug discovery, identification of patient subgroups requiring either specific treatment or broader clinical care and identification of novel treatment response and resistance mechanisms. Read Less

The purpose of the study is to develop a prognostic index model for the rare disease of mycosis fungoides and sezary syndrome. This will be done by collecting standardized clinical data at various institutions. The investigators hope this will enable the identification of low- and high-risk groups for survival in order to improve patient care and outcome. Read Less

This is a 2-part, phase 1/2, open-label, multicenter study designed to evaluate the safety, tolerability, pharmacokinetics, pharmacodynamics, pharmacogenomics, and efficacy of CYC140 administered orally daily. This study consists of Phase 1 and Phase 2 components in subjects with advanced solid tumors and lymphoma who have progressed despite having standard therapy or for which no standard therapy exists. Read Less

This is a Phase 2b, randomized, open label study to assess the safety and efficacy of DPX-Survivac and pembrolizumab, with and without low-dose cyclophosphamide (CPA) in subjects with relapsed or refractory DLBCL. Read Less