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  1. Article ; Online: TRAIL-induced apoptosis and proteasomal activity - Mechanisms, signalling and interplay.

    Boccellato, Chiara / Rehm, Markus

    Biochimica et biophysica acta. Molecular cell research

    2024  Volume 1871, Issue 4, Page(s) 119688

    Abstract: Programmed cell death, in particular apoptosis, is essential during development and tissue homeostasis, and also is the primary strategy to induce cancer cell death by cytotoxic therapies. Precision therapeutics targeting TRAIL death receptors are being ... ...

    Abstract Programmed cell death, in particular apoptosis, is essential during development and tissue homeostasis, and also is the primary strategy to induce cancer cell death by cytotoxic therapies. Precision therapeutics targeting TRAIL death receptors are being evaluated as novel anti-cancer agents, while in parallel highly specific proteasome inhibitors have gained approval as drugs. TRAIL-dependent signalling and proteasomal control of cellular proteostasis are intricate processes, and their interplay can be exploited to enhance therapeutic killing of cancer cells in combination therapies. This review provides detailed insights into the complex signalling of TRAIL-induced pathways and the activities of the proteasome. It explores their core mechanisms of action, pharmaceutical druggability, and describes how their interplay can be strategically leveraged to enhance cell death responses in cancer cells. Offering this comprehensive and timely overview will allow to navigate the complexity of the processes governing cell death mechanisms in TRAIL- and proteasome inhibitor-based treatment conditions.
    MeSH term(s) Humans ; Antineoplastic Agents/pharmacology ; Apoptosis ; Cell Death ; Neoplasms/drug therapy ; Proteasome Inhibitors/pharmacology ; Receptors, TNF-Related Apoptosis-Inducing Ligand/metabolism ; TNF-Related Apoptosis-Inducing Ligand/metabolism
    Chemical Substances Antineoplastic Agents ; Proteasome Inhibitors ; Receptors, TNF-Related Apoptosis-Inducing Ligand ; TNFSF10 protein, human ; TNF-Related Apoptosis-Inducing Ligand
    Language English
    Publishing date 2024-02-16
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 60-7
    ISSN 1879-2596 ; 1879-260X ; 1872-8006 ; 1879-2642 ; 1879-2618 ; 1879-2650 ; 0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
    ISSN (online) 1879-2596 ; 1879-260X ; 1872-8006 ; 1879-2642 ; 1879-2618 ; 1879-2650
    ISSN 0006-3002 ; 0005-2728 ; 0005-2736 ; 0304-4165 ; 0167-4838 ; 1388-1981 ; 0167-4889 ; 0167-4781 ; 0304-419X ; 1570-9639 ; 0925-4439 ; 1874-9399
    DOI 10.1016/j.bbamcr.2024.119688
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  2. Article: Auf der Suche nach dem perfekten Sprung. Interview mit Markus Rehm

    Rehm, Markus

    Orthopädie-Technik

    2021  Volume 72, Issue 2, Page(s) 18

    Language German
    Document type Article
    ZDB-ID 207441-2
    ISSN 0340-5591
    Database Current Contents Medicine

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    Zs.B 887: Show issues Location:
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  3. Article ; Online: Glioblastoma, from disease understanding towards optimal cell-based in vitro models.

    Boccellato, Chiara / Rehm, Markus

    Cellular oncology (Dordrecht)

    2022  Volume 45, Issue 4, Page(s) 527–541

    Abstract: Background: Glioblastoma (GBM) patients are notoriously difficult to treat and ultimately all succumb to disease. This unfortunate scenario motivates research into better characterizing and understanding this disease, and into developing novel research ... ...

    Abstract Background: Glioblastoma (GBM) patients are notoriously difficult to treat and ultimately all succumb to disease. This unfortunate scenario motivates research into better characterizing and understanding this disease, and into developing novel research tools by which potential novel therapeutics and treatment options initially can be evaluated pre-clinically. Here, we provide a concise overview of glioblastoma epidemiology, disease classification, the challenges faced in the treatment of glioblastoma and current novel treatment strategies. From this, we lead into a description and assessment of advanced cell-based models that aim to narrow the gap between pre-clinical and clinical studies. Such in vitro models are required to deliver reliable and meaningful data for the development and pre-validation of novel therapeutics and treatments.
    Conclusions: The toolbox for GBM cell-based models has expanded substantially, with the possibility of 3D printing tumour tissues and thereby replicating in vivo tissue architectures now looming on the horizon. A comparison of experimental cell-based model systems and techniques highlights advantages and drawbacks of the various tools available, based on which cell-based models and experimental approaches best suited to address a diversity of research questions in the glioblastoma research field can be selected.
    MeSH term(s) Brain Neoplasms/pathology ; Cell Line, Tumor ; Glioblastoma/pathology ; Humans
    Language English
    Publishing date 2022-06-28
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2595109-9
    ISSN 2211-3436 ; 1875-8606 ; 2211-3428
    ISSN (online) 2211-3436
    ISSN 1875-8606 ; 2211-3428
    DOI 10.1007/s13402-022-00684-7
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  4. Article ; Online: Applying a GAN-based classifier to improve transcriptome-based prognostication in breast cancer.

    Guttà, Cristiano / Morhard, Christoph / Rehm, Markus

    PLoS computational biology

    2023  Volume 19, Issue 4, Page(s) e1011035

    Abstract: Established prognostic tests based on limited numbers of transcripts can identify high-risk breast cancer patients, yet are approved only for individuals presenting with specific clinical features or disease characteristics. Deep learning algorithms ... ...

    Abstract Established prognostic tests based on limited numbers of transcripts can identify high-risk breast cancer patients, yet are approved only for individuals presenting with specific clinical features or disease characteristics. Deep learning algorithms could hold potential for stratifying patient cohorts based on full transcriptome data, yet the development of robust classifiers is hampered by the number of variables in omics datasets typically far exceeding the number of patients. To overcome this hurdle, we propose a classifier based on a data augmentation pipeline consisting of a Wasserstein generative adversarial network (GAN) with gradient penalty and an embedded auxiliary classifier to obtain a trained GAN discriminator (T-GAN-D). Applied to 1244 patients of the METABRIC breast cancer cohort, this classifier outperformed established breast cancer biomarkers in separating low- from high-risk patients (disease specific death, progression or relapse within 10 years from initial diagnosis). Importantly, the T-GAN-D also performed across independent, merged transcriptome datasets (METABRIC and TCGA-BRCA cohorts), and merging data improved overall patient stratification. In conclusion, the reiterative GAN-based training process allowed generating a robust classifier capable of stratifying low- vs high-risk patients based on full transcriptome data and across independent and heterogeneous breast cancer cohorts.
    MeSH term(s) Humans ; Female ; Transcriptome/genetics ; Biomarkers, Tumor/genetics ; Breast Neoplasms/diagnosis ; Breast Neoplasms/genetics ; Neoplasm Recurrence, Local ; Algorithms
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2023-04-03
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2193340-6
    ISSN 1553-7358 ; 1553-734X
    ISSN (online) 1553-7358
    ISSN 1553-734X
    DOI 10.1371/journal.pcbi.1011035
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  5. Book ; Thesis: Beobachtungen zum Verhalten des Plasmavolumens und abgeleiteter Größen in der perioperativen Phase bei Patientinnen mit benignen und malignen Ovarialtumoren

    Rehm, Markus

    1996  

    Author's details vorgelegt von Markus Rehm
    Language German
    Size 202 S. : graph. Darst.
    Document type Book ; Thesis
    Thesis / German Habilitation thesis München, Univ., Diss., 1996
    HBZ-ID HT007497770
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    97 D 1339 order for loan Magazin

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  6. Article ; Online: Mitochondrial genome variations, mitochondrial-nuclear compatibility, and their association with metabolic diseases.

    Ludwig-Słomczyńska, Agnieszka H / Rehm, Markus

    Obesity (Silver Spring, Md.)

    2022  Volume 30, Issue 6, Page(s) 1156–1169

    Abstract: Two genomes regulate the energy metabolism of eukaryotic cells: the nuclear genome, which codes for most cellular proteins, and the mitochondrial genome, which, together with the nuclear genome, coregulates cellular bioenergetics. Therefore, ... ...

    Abstract Two genomes regulate the energy metabolism of eukaryotic cells: the nuclear genome, which codes for most cellular proteins, and the mitochondrial genome, which, together with the nuclear genome, coregulates cellular bioenergetics. Therefore, mitochondrial genome variations can affect, directly or indirectly, all energy-dependent cellular processes and shape the metabolic state of the organism. This review provides a current and up-to-date overview on how codependent these two genomes are, how they appear to have coevolved, and how variations within the mitochondrial genome might be associated with the manifestation of metabolic diseases. This review summarizes and structures results obtained from epidemiological studies that identified links between mitochondrial haplogroups and individual risks for developing obesity and diabetes. This is complemented by findings on the compatibility of mitochondrial and nuclear genomes and cellular bioenergetic fitness, which have been acquired from well-controlled studies in conplastic animal models. These elucidate, more mechanistically, how single-nucleotide variants can influence cellular metabolism and physiology. Overall, it seems that certain mitochondrial genome variations negatively affect mitochondrial-nuclear compatibility and are statistically linked with the onset of metabolic diseases, whereas, for others, greater uncertainty exists, and additional research into this exciting field is required.
    MeSH term(s) Animals ; DNA, Mitochondrial/genetics ; Energy Metabolism/genetics ; Genome, Mitochondrial/genetics ; Metabolic Diseases/genetics ; Metabolic Diseases/metabolism ; Mitochondria/genetics ; Mitochondria/metabolism
    Chemical Substances DNA, Mitochondrial
    Language English
    Publishing date 2022-05-02
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2230457-5
    ISSN 1930-739X ; 1071-7323 ; 1930-7381
    ISSN (online) 1930-739X
    ISSN 1071-7323 ; 1930-7381
    DOI 10.1002/oby.23424
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    Zs.MG 87: Show issues

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  7. Article ; Online: Linking hyperosmotic stress and apoptotic sensitivity.

    Stöhr, Daniela / Rehm, Markus

    The FEBS journal

    2020  Volume 288, Issue 6, Page(s) 1800–1803

    Abstract: Cellular responses to hypertonic stress and how these are linked to the induction of or sensitisation to cell death signals are incompletely understood and rarely studied in cancer. Using cell lines derived from head and neck squamous cell carcinoma ( ... ...

    Abstract Cellular responses to hypertonic stress and how these are linked to the induction of or sensitisation to cell death signals are incompletely understood and rarely studied in cancer. Using cell lines derived from head and neck squamous cell carcinoma (HNSCC), Heimer et al. demonstrate that hypertonic environments neutralise the antiapoptotic Bcl-2 family member Mcl-1 by upregulating its antagonist Noxa. Consequently, hypertonically stressed HNSCC cells rely solely on Bcl-xL for survival and succumb to apoptosis when challenged by pharmacological Bcl-xL inhibition. Similar findings were reported in colorectal cancer cells in related manuscripts, suggesting that a common and conserved mechanistic link might exist between hyperosmotic stress and cellular sensitisation to apoptosis.
    Language English
    Publishing date 2020-08-31
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 2173655-8
    ISSN 1742-4658 ; 1742-464X
    ISSN (online) 1742-4658
    ISSN 1742-464X
    DOI 10.1111/febs.15520
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  8. Book ; Online ; Thesis: Auswirkungen einer balancierten Infusionslösung mit Phosphatzusatz auf den Säure-Basen-Haushalt nach Stewart-Analytik bei großen gynäkologischen Abdominaleingriffen

    Maschmann, Christian [Verfasser] / Rehm, Markus [Akademischer Betreuer]

    2023  

    Author's details Christian Maschmann ; Betreuer: Markus Rehm
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language German
    Publisher Universitätsbibliothek der Ludwig-Maximilians-Universität
    Publishing place München
    Document type Book ; Online ; Thesis
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  9. Book ; Online ; Thesis: Prognostication and prediction of cancer patient outcomes using AI-based classifiers

    Guttà, Cristiano [Verfasser] / Rehm, Markus [Akademischer Betreuer]

    2023  

    Author's details Cristiano Guttà ; Betreuer: Markus Morrison
    Keywords Biowissenschaften, Biologie ; Life Science, Biology
    Subject code sg570
    Language English
    Publisher Universitätsbibliothek der Universität Stuttgart
    Publishing place Stuttgart
    Document type Book ; Online ; Thesis
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  10. Book ; Online ; Thesis: Auswirkung der Einführung einer Blutverlustberechnung: eine vergleichende Analyse zum geschätzten Blutverlust, der Infusionstherapie und der Kreislaufstabilität

    Schelten, Rowan [Verfasser] / Rehm, Markus [Akademischer Betreuer]

    2023  

    Author's details Rowan Schelten ; Betreuer: Markus Rehm
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language German
    Publisher Universitätsbibliothek der Ludwig-Maximilians-Universität
    Publishing place München
    Document type Book ; Online ; Thesis
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