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• Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma

  Background: Cancer patients with advanced disease exhaust available clinical regimens and lack actionable genomic medicine results, leaving a large patient population without effective treatments options when their disease inevitably progresses. To address the unmet clinical need for evidence-based therapy assignment when standard clinical approaches have failed, we have developed a probabilistic computational modeling approach which integrates sequencing data with functional assay data to develop patient-specific combination cancer treatments. Methods: Tissue taken from a murine model of alveolar rhabdomyosarcoma was used to perform single agent drug screening and DNA/RNA sequencing experiments; results integrated via our computational modeling approach identified a synergistic personalized two-drug combination. Cells derived from the tumor were allografted into mouse models and used to validate the personalized two-drug combination. Computational modeling of single agent drug screening and RNA sequencing of multiple heterogenous sites from a single patient’s epithelioid sarcoma identified a personalized two-drug combination effective across all tumor regions. The heterogeneity-consensus combination was validated in a xenograft model derived from the patient’s primary tumor. Cell cultures derived from human and canine undifferentiated pleomorphic sarcoma were assayed by drug screen; computational modeling identified a resistance-abrogating two-drug combination common to both cell cultures. This combination was validated in vitro via a cell regrowth assay. Results Our computational modeling approach addresses three major challenges in personalized cancer therapy: synergistic drug combination predictions (validated in vitro and in vivo in a genetically engineered murine cancer model), identification of unifying therapeutic targets to overcome intra-tumor heterogeneity (validated in vivo in a human cancer xenograft), and mitigation of cancer cell resistance and rewiring mechanisms (validated in vitro in a human and canine cancer model). Conclusions These proof-of-concept studies support the use of an integrative functional approach to personalized combination therapy prediction for the population of high-risk cancer patients lacking viable clinical options and without actionable DNA sequencing-based therapy.

  Study EGAS00001003564

• Chondrosarcoma_Targeted_Sequencing_Study

  This Study uses a focused bait pull down library method to target findings of Chondrosarcoma whole genome and whole exome sequencing studies in order to validate findings. This method will also be used on a larger set of tumour only samples in order to find precedence of these finding in a larger set of patients.

  Study EGAS00001000277

• Evaluation of the Efficacy and Safety of a Clinical Grade Human Induced Pluripotent Stem Cell-Derived Cardiomyocyte Patch: A Pre-Clinical Study

  Cardiomyocyte-derived induced pluripotent stem cells (iPSCs) may represent a promising therapeutic strategy for severely damaged myocardium. This study aimed to assess the efficacy and safety of clinical grade human iPSC-derived cardiomyocyte (hiPSC-CM) patches and conduct a pre-clinical proof-of-concept analysis.

  Study EGAS50000000189

• A mutation in VPS15 (PIK3R4) causes a ciliopathy and affects IFT20 release from the cis-Golgi

  VPS15 is known as a VPS34-associated protein that functions in intracellular trafficking and autophagy. Here the authors identify a role for VPS15 in cilopathy and ciliary phenotypes, and show that it interacts with GM130 and functions in IFT20-dependent cis-Golgi to cilium trafficking.

  Study EGAS00001002075

• Pediatric B-cell precursor acute lymphoblastic leukemia samples with very early relapse

  In this study we performed a genomic analysis of diagnosis-relapse pairs of 12 children who relapsed very early, followed by a deep-sequencing validation of all identified mutations. In addition, we included one case with a good initial treatment response and on-treatment relapse at the end of upfront therapy.

  Study EGAS00001005615

• Germline genome sequencing samples from the Hereditary Cancer Syndromes (ICCon) Cancer Flagship

  A prospective study of individuals with suspicion of a hereditary cancer syndrome for whom previous clinical targeted genetic testing was either not informative or was not available. To identify pathogenic disease-causing variants explaining participant presentation, germline whole-genome sequencing and a comprehensive cancer virtual gene panel analysis were undertaken.

  Study EGAS00001007045

• TK-EPN862 - Patient-derived xenograft model of Posterior Fossa A Ependymoma - RNAseq

  In Vivo Loss of Tumorigenicity in a Patient-Derived Orthotopic Xenograft Mouse Model of Ependymoma. Whitehouse et al. 2023 Frontiers in Oncology. We describe the establishment of a patient-derived orthotopic xenograft (PDOX) model of posterior fossa A (PFA) EPN, derived from a metastatic cranial lesion. Patient and PDOX tumors were analyzed using RNA sequencing. RNAseq data (paired end) provided here correspond to Primary tumour, two metastatic lesions (one spinal, one cranial), and a patient-derived xenograft derived from the patient.

  Dataset EGAD00001009870

• Multiomic Dissection of Movement and Neurocognitive Toxicity Following BCMA-Targeting CAR T Therapy

  We report a case of parkinsonism following treatment with ciltacabtagene autoleucel. To investigate underlying mechanisms, we performed a multi-pronged longitudinal analysis using single-cell RNA/TCR-sequencing including both cerebrospinal fluid (CSF) and peripheral blood samples, spanning a time frame over 6 month after CAR T cell therapy.

  Study EGAS50000001634

• CAGE Profiling of ncRNAs in Hepatocellular Carcinoma Reveals a Strong Activation of Retroviral LTR Promoters in Virus-Induced Tumors

  The ncRNA transcriptome of human hepatocellular carcinoma (HCC) is largely unexplored. We used CAGE to characterize transcription start sites across different etiologies of human HCCs with emphasis on ncRNAs. Here we report that retroviral LTR promoters, expressed in healthy tissues such as testis and placenta but not liver, are widely activated in HCC. Despite HCC heterogeneity, a subset of LTR-derived ncRNAs were more than 10-fold up-regulated in the vast majority of samples. HCCs with a high LTR activity mostly had a viral etiology, were less differentiated and showed higher risk of recurrence. CAGE enabled us to build a promoter map for HCC, which uncovers a new layer of complexity in HCC genomics.

  Study phs000885

• INdiana GENomics: Implementing an Opportunity for the Under Served (INGENIOUS)

  The INGenious trial planed to enroll a total of 6,000 patients, with 2,000 patients assigned to a pharmacogenetic testing arm and 4,000 to a control arm who will be followed, but not tested. It is randomized between an intervention arm and one that receives no intervention in order that the genotyped group can be compared with one in which undisturbed, routine clinical care is carried out in patients taking the same drugs. Both arms will be followed for a year after being prescribed a targeted medication. Patients randomized into the intervention arm that are prescribed one or more of the 27 targeted index medication will receive pharmacogenomic testing using a custom micro-array measuring 43 Single nucleotide polymorphisms in 14 genes. The study is being conducted by the Indiana University School of Medicine and the Indiana University Institute of Personalized Medicine in collaboration with the Eskenazi and Indiana University Health Systems and will evaluate the economic and clinical outcomes associated with embedding a pharmacogenomics program in a system that serves as the primary health care safety-net in Indianapolis, Indiana. By successfully implementing a pharmacogenomics program and integrating it with the Electronic Health Record and Clinical Decision Support system, physicians will be able to optimize patient care by delivering tailored therapeutic decisions based on the patient's individual genetics.

  Study phs001701