78 results match your criteria: "DKFZ (German Cancer Research Center)[Affiliation]"

Background: Magnetic resonance neurography (MRN) is increasingly used as a diagnostic tool for peripheral neuropathies. Quantitative measures enhance MRN interpretation but require nerve segmentation which is time-consuming and error-prone and has not become clinical routine. In this study, we applied neural networks for the automated segmentation of peripheral nerves.

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Spatially fractionated radiation therapy (SFRT) is a therapeutic approach with the potential to disrupt the classical paradigms of conventional radiation therapy. The high spatial dose modulation in SFRT activates distinct radiobiological mechanisms which lead to a remarkable increase in normal tissue tolerances. Several decades of clinical use and numerous preclinical experiments suggest that SFRT has the potential to increase the therapeutic index, especially in bulky and radioresistant tumors.

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Article Synopsis
  • The study focuses on predicting lymph node metastasis (LNM) in testicular cancer to improve treatment decisions and prognosis, using a sample of 91 early-stage patients.
  • Researchers developed predictive models by combining clinical risk factors such as age, tumor markers, histotype, and BMI with lymph node radiomics features using various machine learning methods.
  • The Random Forest model showed the best predictive performance (AUC of 0.95), indicating that integrating machine learning with radiomics and clinical factors can enhance precision in oncology for testicular cancer treatment.
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Background: Although the associations between genetic variations and lung cancer risk have been explored, the epigenetic consequences of DNA methylation in lung cancer development are largely unknown. Here, the genetically predicted DNA methylation markers associated with non-small cell lung cancer (NSCLC) risk by a two-stage case-control design were investigated.

Methods: The genetic prediction models for methylation levels based on genetic and methylation data of 1595 subjects from the Framingham Heart Study were established.

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Background: Idiopathic pulmonary fibrosis (IPF) is an irreversible disorder with a poor prognosis. The incomplete understanding of IPF pathogenesis and the lack of accurate animal models is limiting the development of effective treatments. Thus, the selection of clinically relevant animal models endowed with similarities with the human disease in terms of lung anatomy, cell biology, pathways involved and genetics is essential.

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Proton therapy is highly sensitive to range uncertainties due to the nature of the dose deposition of charged particles. To ensure treatment quality, range verification methods can be used to verify that the individual spots in a pencil beam scanning treatment fraction match the treatment plan. This study introduces a novel metric for proton therapy quality control based on uncertainties in range verification of individual spots.

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Article Synopsis
  • * Results indicated that the combination treatment (FLAVIDA) had a significantly higher overall response rate (78% vs. 47%) compared to FLA-IDA alone, with similar rates of measurable residual disease in patients who responded.
  • * After treatment, a high percentage of patients proceeded to further therapies like allogeneic stem cell transplants, and while recovery times for neutrophils and platelets were similar, FLA-IDA showed better salvage potential for refractory patients.
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Controlling transgene expression through an externally administered inductor is envisioned as a potent strategy to improve safety and efficacy of gene therapy approaches. Generally, inducible ON systems require a chimeric transcription factor (transactivator) that becomes activated by an inductor, which is not optimal for clinical translation due to their toxicity. We generated previously the first all-in-one, transactivator-free, doxycycline (Dox)-responsive (Lent-On-Plus or LOP) lentiviral vectors (LVs) able to control transgene expression in human stem cells.

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Clonogenic assays are routinely used to evaluate the response of cancer cells to external radiation fields, assess their radioresistance and radiosensitivity, estimate the performance of radiotherapy. However, classic clonogenic tests focus on the number of colonies forming on a substrate upon exposure to ionizing radiation, and disregard other important characteristics of cells such their ability to generate structures with a certain shape. The radioresistance and radiosensitivity of cancer cells may depend less on the number of cells in a colony and more on the way cells interact to form complex networks.

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Article Synopsis
  • Treatment concepts in oncology are becoming personalized and diverse, requiring continuous monitoring of patient care through real-world data, which the DKTK's Clinical Communication Platform (CCP) facilitates.
  • The CCP connects 14 cancer centers and analyzes data from over 600,000 patients, focusing on diverse demographic details, diagnoses, treatment responses, and extensive biosample collections.
  • Through its sizable and detailed dataset, the cohort aids translational cancer research, enhances understanding of various cancers, and supports clinical trial design and evaluation in real-world settings.
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Changes in DNA methylation identified by epigenome-wide association studies (EWAS) have been recently linked to increased lung cancer risk. However, the cellular effects of these differentially methylated positions (DMPs) are often unclear. Therefore, we investigated top differentially methylated positions identified from an EWAS study.

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To identify new susceptibility loci to lung cancer among diverse populations, we performed cross-ancestry genome-wide association studies in European, East Asian and African populations and discovered five loci that have not been previously reported. We replicated 26 signals and identified 10 new lead associations from previously reported loci. Rare-variant associations tended to be specific to populations, but even common-variant associations influencing smoking behavior, such as those with CHRNA5 and CYP2A6, showed population specificity.

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Human lung-cancer-cell radioresistance investigated through 2D network topology.

Sci Rep

July 2022

Department of Experimental and Clinical Medicine, Nanotechnology Research Center, University of Magna Graecia, 88100, Catanzaro, Italy.

Radiation therapy (RT) is now considered to be a main component of cancer therapy, alongside surgery, chemotherapy and monoclonal antibody-based immunotherapy. In RT, cancer tissues are exposed to ionizing radiation causing the death of malignant cells and favoring cancer regression. However, the efficiency of RT may be hampered by cell-radioresistance (RR)-that is a feature of tumor cells of withstanding RT.

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Article Synopsis
  • - The proposed mechanism suggests that cancer cells can lower nuclear oxygen levels by manipulating cholesterol levels in their membranes, which affects oxygen diffusion without relying on hypoxic conditions, potentially aiding resistance to chemotherapy and radiotherapy.
  • - High cholesterol content in cell membranes leads to more rigid structures, impeding oxygen diffusion and enabling cells to consume oxygen more rapidly than it can be replenished, thereby decreasing nuclear oxygen concentration.
  • - Experimental analysis of bladder cancer cells during the cell cycle uses gene analysis and radiation response tests to demonstrate a correlation between cellular and nuclear oxygen levels, showing that oxygen presence significantly influences DNA damage from radiation.
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Identification of ZBTB26 as a Novel Risk Factor for Congenital Hypothyroidism.

Genes (Basel)

November 2021

Department of Human Molecular Genetics, Institute of Human Genetics, Ruprecht-Karls-University Heidelberg, 69120 Heidelberg, Germany.

Congenital primary hypothyroidism (CH; OMIM 218700) is characterized by an impaired thyroid development, or dyshormonogenesis, and can lead to intellectual disability and growth retardation if untreated. Most of the children with congenital hypothyroidism present thyroid dysgenesis, a developmental anomaly of the thyroid. Various genes have been associated with thyroid dysgenesis, but all known genes together can only explain a small number of cases.

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Recently,deep learning (DL)-based methods for the generation of synthetic computed tomography (sCT) have received significant research attention as an alternative to classical ones. We present here a systematic review of these methods by grouping them into three categories, according to their clinical applications: (i) to replace computed tomography in magnetic resonance (MR) based treatment planning, (ii) facilitate cone-beam computed tomography based image-guided adaptive radiotherapy, and (iii) derive attenuation maps for the correction of positron emission tomography. Appropriate database searching was performed on journal articles published between January 2014 and December 2020.

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Background: Proton computed tomography (pCT) and radiography (pRad) are proposed modalities for improved treatment plan accuracy and treatment validation in proton therapy. The pCT system of the Bergen pCT collaboration is able to handle very high particle intensities by means of track reconstruction. However, incorrectly reconstructed and secondary tracks degrade the image quality.

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Differential Glycosite Profiling-A Versatile Method to Compare Membrane Glycoproteomes.

Molecules

June 2021

Department of Applied Tumor Biology, Institute of Pathology, Heidelberg University Hospital, Im Neuenheimer Feld 224, 69120 Heidelberg, Germany.

Glycosylation is the most prevalent and varied form of post-translational protein modifications. Protein glycosylation regulates multiple cellular functions, including protein folding, cell adhesion, molecular trafficking and clearance, receptor activation, signal transduction, and endocytosis. In particular, membrane proteins are frequently highly glycosylated, which is both linked to physiological processes and of high relevance in various disease mechanisms.

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Background: To develop an international, multi-site nomogram for side-specific prediction of extraprostatic extension (EPE) of prostate cancer based on clinical, biopsy, and magnetic resonance imaging- (MRI) derived data.

Methods: Ten institutions from the USA and Europe contributed clinical and side-specific biopsy and MRI variables of consecutive patients who underwent prostatectomy. A logistic regression model was used to develop a nomogram for predicting side-specific EPE on prostatectomy specimens.

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Article Synopsis
  • The study explores the limitations of DNA-based microbiome analysis, particularly regarding the inability to distinguish between live and dead microorganisms.
  • A Benzonase-based approach (BDA) was tested, which effectively digests DNA from dead cells, thus providing a clearer picture of the living microbiome in skin samples.
  • The findings suggest that while BDA improves the accuracy of living microbiota assessments and reduces host DNA interference, it does not completely eliminate bias from low biomass samples.
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Autophagy is a cellular degradation process that has been implicated in diverse disease processes. The authors provide evidence that FYCO1, a component of the autophagic machinery, is essential for adaptation to cardiac stress. Although the absence of FYCO1 does not affect basal autophagy in isolated cardiomyocytes, it abolishes induction of autophagy after glucose deprivation.

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Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers.

PLoS Genet

March 2021

Section of Genetics, Genetic Epidemiology Group, International Agency for Research on Cancer, World Health Organization, Lyon, France.

Squamous cell carcinomas (SqCC) of the aerodigestive tract have similar etiological risk factors. Although genetic risk variants for individual cancers have been identified, an agnostic, genome-wide search for shared genetic susceptibility has not been performed. To identify novel and pleotropic SqCC risk variants, we performed a meta-analysis of GWAS data on lung SqCC (LuSqCC), oro/pharyngeal SqCC (OSqCC), laryngeal SqCC (LaSqCC) and esophageal SqCC (ESqCC) cancers, totaling 13,887 cases and 61,961 controls of European ancestry.

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Hydroxamic acid-modified peptide microarrays for profiling isozyme-selective interactions and inhibition of histone deacetylases.

Nat Commun

January 2021

Center for Biopharmaceuticals & Department of Drug Design and Pharmacology, University of Copenhagen, Universitetsparken 2, DK-2100, Copenhagen, Denmark.

Histones control gene expression by regulating chromatin structure and function. The posttranslational modifications (PTMs) on the side chains of histones form the epigenetic landscape, which is tightly controlled by epigenetic modulator enzymes and further recognized by so-called reader domains. Histone microarrays have been widely applied to investigate histone-reader interactions, but not the transient interactions of Zn-dependent histone deacetylase (HDAC) eraser enzymes.

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The co-occurrence of cancer and heart failure (HF) represents a significant clinical drawback as each disease interferes with the treatment of the other. In addition to shared risk factors, a growing body of experimental and clinical evidence reveals numerous commonalities in the biology underlying both pathologies. Inflammation emerges as a common hallmark for both diseases as it contributes to the initiation and progression of both HF and cancer.

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At the time of cancer diagnosis, body mass index (BMI) is inversely correlated with lung cancer risk, which may reflect reverse causality and confounding due to smoking behavior. We used two-sample univariable and multivariable Mendelian randomization (MR) to estimate causal relationships of BMI and smoking behaviors on lung cancer and histological subtypes based on an aggregated genome-wide association studies (GWASs) analysis of lung cancer in 29 266 cases and 56 450 controls. We observed a positive causal effect for high BMI on occurrence of small-cell lung cancer (odds ratio (OR) = 1.

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