Implementing liquid biopsies into clinical decision making for cancer immunotherapy.

During the last decade, novel immunotherapeutic strategies, in particular antibodies directed against immune checkpoint inhibitors, have revolutionized the treatment of different malignancies leading to an improved survival of patients. Identification of immune-related biomarkers for diagnosis, prognosis, monitoring of immune responses and selection of patients for specific cancer immunotherapies is urgently required and therefore areas of intensive research. Easily accessible samples in particular liquid biopsies (body fluids), such as blood, saliva or urine, are preferred for serial tumor biopsies.Although monitoring of immune and tumor responses prior, during and post immunotherapy has led to significant advances of patients' outcome, valid and stable prognostic biomarkers are still missing. This might be due to the limited capacity of the technologies employed, reproducibility of results as well as assay stability and validation of results. Therefore solid approaches to assess immune regulation and modulation as well as to follow up the nature of the tumor in liquid biopsies are urgently required to discover valuable and relevant biomarkers including sample preparation, timing of the collection and the type of liquid samples. This article summarizes our knowledge of the well-known liquid material in a new context as liquid biopsy and focuses on collection and assay requirements for the analysis and the technical developments that allow the implementation of different high-throughput assays to detect alterations at the genetic and immunologic level, which could be used for monitoring treatment efficiency, acquired therapy resistance mechanisms and the prognostic value of the liquid biopsies.

High-throughput transfection and engineering of primary cells and cultured cell lines - an invaluable tool for research as well as drug development.

The manipulation of eukaryotic cells by introducing nucleic acids and other substrates using chemical, physical or viral methods is one of the ground-breaking tools in the life sciences. Changes in the molecular equipment of a cell induced by introducing different molecules not only enable the dissection of signal transduction and metabolic pathways, but also allow the exploitation of engineered cells as bio-factories for the production of proteins in the processes of target research and drug development. In addition to the application of engineered cells for modern cell-based assays, medically relevant engineered cells can be used in clinical settings for adoptive immunotherapy or gene therapy. With the advent of methods exploiting RNA interference (RNAi), gene identification and functional validation in eukaryotic cells have clearly become one of the most exciting methods in life sciences during the past few years. To accelerate research and development in these areas, high-quality, high-throughput approaches (i.e., using sample formats of at least 96 wells) for cell engineering are needed with increasing demand. Recent developments, especially in the field of electroporation, now allow the efficient, high-throughput engineering of virtually any cell type, including primary cells, many of which were previously considered difficult or even impossible to transfect. Primary cells freshly isolated from native tissues are gaining more and more interest, as data obtained with these cells are considered to be of higher physiological relevance than data obtained with immortalized cell lines that have been cultured for extensive periods. In this review, the various methods for cell engineering (with focus on higher eukaryotic cells) are summarized and their impact for high-throughput applications in research and drug development is discussed.

High throughput functional genomics: identification of novel genes with tumor suppressor phenotypes.

We have used a combination of high throughput functional genomics, computerized database mining and expression analyses to discover novel human tumor suppressor genes (TSGs). A genome-wide high throughput cDNA phenotype screen was established to identify genes that induce apoptosis or reduce cell viability. TSGs are expressed in normal tissue and frequently act by reduction of growth of transformed cells or induce apoptosis. In agreement with that and thus serving as platform validation, our pro-apoptotic hits included genes for which tumor suppressing activities were known, such as kangai1 and CD81 antigen. Additional genes that so far have been claimed as putative TSGs or associated with tumor inhibitory activities (prostate differentiation factor, hRAS-like suppressor 3, DPH2L1-like and the metastasis inhibitor Kiss1) were confirmed in their proposed TSG-like phenotype by functionally defining their growth inhibitory or pro-apoptotic function towards cancer cells. Finally, novel genes were identified for which neither association with cell growth nor with apoptosis were previously described. A subset of these genes show characteristics of TSGs because they (i) reduce the growth or induce apoptosis in tumor cells; (ii) show reduced expression in tumor vs. normal tissue; and (iii) are located on chromosomal (LOH-) loci for which cancer-associated deletions are described. The pro-apoptotic phenotype and differential expression of these genes in normal and malignant tissue make them promising target candidates for the diagnosis and therapy of various tumors.

High-throughput functional genomics identifies genes that ameliorate toxicity due to oxidative stress in neuronal HT-22 cells: GFPT2 protects cells against peroxide.

We describe a novel genetic screen that is performed by transfecting every individual clone of an expression clone collection into a separate population of cells in a high-throughput mode. We combined high-throughput functional genomics with experimental validation to discover human genes that ameliorate cytotoxic responses of neuronal HT-22 cells upon exposure to oxidative stress. A collection of 5,000 human cDNAs in mammalian expression vectors were individually transfected into HT-22 cells, which were then exposed to H(2)O(2). Five genes were found that are known to be involved in pathways of detoxification of peroxide (catalase, glutathione peroxidase-1, peroxiredoxin-1, peroxiredoxin-5, and nuclear factor erythroid-derived 2-like 2). The presence of those genes in our "hit list" validates our screening platform. In addition, a set of candidate genes was found that has not been previously described as involved in detoxification of peroxide. One of these genes, which was consistently found to reduce H(2)O(2) -induced toxicity in HT-22, was GFPT2. This gene is expressed at significant levels in the central nervous system (CNS) and encodes glutamine-fructose-6-phosphate transaminase (GFPT) 2, a rate-limiting enzyme in hexosamine biosynthesis. GFPT has recently also been shown to ameliorate the toxicity of methylmercury in Saccharomyces cerevisiae. Methylmercury causes neuronal cell death in part by protein modification as well as enhancing the production of reactive oxygen species (ROS). The protective effect of GFPT2 against H(2)O(2) toxicity in neuronal HT-22 cells may be similar to its protection against methylmercury in yeast. Thus, GFPT appears to be conserved among yeast and men as a critical target of methylmercury and ROS-induced cytotoxicity.