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Tag: immuno-oncology

Improving the selection of candidate CD8+ T cell epitopes for immunotherapy

Alongside the talks at our conferences, the poster presentations are a huge part of the knowledge sharing that takes place. We’re thrilled to be able to take a closer look at this poster from the Research & Technology Series, presented by Wim van Esch and the team at Sanquin.

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Deep Learning based detection of tumor tissue compartments improves prognostic immunoprofiling in muscle-invasive bladder cancer

Worldwide, bladder cancer (BC) is the 11th most commonly diagnosed cancer. In men, BC is the 7thmost commonly diagnosed cancer worldwide.[1]Although men are more likely to develop BC than women, women present with more advanced disease and have worse survival rates.[2]

Muscle-invasive bladder cancers (MIBC) are cancers that have grown into or through the muscle layers of the bladder wall.

Dr. Katharina Nekolla and Ansh Kapil and their team applied Deep Learning enabled pathology to better understand prognostic factors in MIBC. Here we review the significance of the research and share their original poster.

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Strategic screening enables effective biomarker discovery

During my eight years at the Max Planck Institute for Molecular Genetics in Berlin, I led a protein technologies group. We developed a protein expression library, and then high-content protein arrays. In total, we made arrays with 10,000 different human proteins.

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Flow Cytometry: A powerful tool in drug discovery

Flow cytometry is a powerful tool in drug discovery because it provides a way to understand the drug’s mechanism of action. In order to stratify a better target for patients, you often need to know where the drug is working, and what kind of pathway it is operating along.

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Why do biomarkers fail?

When conducting an experiment to identify biomarkers, it is crucial to design the experiment properly. 80-90% of all biomarker populations for the last 20 years have not and cannot be reproduced, and the main reason that biomarkers fail is that these experiments are not designed properly. In this post, I will outline two ways in which experiments are poorly designed, and then outline the technological and methodological solution in a later blog.

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A 14 colour antibody panel: developing a tool and demonstrating a process

One of the frustrations I have with Flow Cytometry is when companies present their amazing new findings at conferences, and it’s quite often about TMB cells. In my case, I work on these cells perhaps 20% of the time. The rest of the time I work on cells from other parts of the human body – bone marrow, lung, bronchoalveolar lavage, spleen – and in diverse animals such as mice, rats, and even sparrow, chicken, and mosquito.

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Determining the fate of cells with Flow Cytometry

The ability to measure multiple forms of cell death simultaneously represents a significant development for such techniques. I have been using antibodies and more specific forms of dyes to identify mitochondrial activity and reactive oxygen in roughly fifty populations, whereas normally it would only be able to measure one at a time. I will be discussing this work at the Flow Cytometry Congress, and it could prove enormously beneficial to drug and immunotherapy development.

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How to cope with an evolving Immuno-Oncology field and changes in pathology

2018 will be remembered as a decisive year for immuno-oncology. In particular, Nobel Prize winners James Allison of MD Anderson Cancer Center in Houston, Texas, and Tasuku Honjo of Kyoto University in Japan lifted the field of immunotherapy to international recognition for those outside the scientific and medical communities. For the patient, these new alternatives to standard oncology therapies offer new hope for life-extending treatments using immunotherapy.

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