Review
Biochemistry & Molecular Biology
Kavita Mallya, Shailendra K. Gautam, Abhijit Aithal, Surinder K. Batra, Maneesh Jain
Summary: Mouse models have played a central role in understanding and optimizing therapeutic modalities for PDAC, evolving from simple cell line-based xenografts to complex genetically engineered models. They provide new insights and understanding about the pathobiology of PDAC, and have been extensively used for evaluating immunotherapies and other treatments to guide clinical trials.
BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER
(2021)
Article
Oncology
Eline S. Zwart, Thomas van Ee, Alsya J. Affandi, Lenka N. C. Boyd, Ernesto Rodriguez, Joke M. M. den Haan, Arantza Farina, Nicole C. T. van Grieken, Laura L. Meijer, Yvette van Kooyk, Reina E. Mebius, Geert Kazemier
Summary: This study examined the immune microenvironment composition in different sites of resected pancreas specimens from pancreatic ductal adenocarcinoma (PDAC) patients. The results showed a decreased ratio of lymphoid and myeloid cells, as well as M1 and M2 macrophages, in the tumor tissue compared to non-tumorous tissue. Additionally, an increase in CD169+ macrophages was observed in patients undergoing neoadjuvant therapy, and the PDAC area had more immune-suppressive cells and a lower ratio of CD8 to M2 macrophages compared to adjacent non-tumorous tissue. Furthermore, there were more immune-suppressive cells in the central tumor area compared to the invasive front.
CANCER IMMUNOLOGY IMMUNOTHERAPY
(2023)
Article
Chemistry, Multidisciplinary
Jingchao Li, Ningyue Yu, Dong Cui, Jiaguo Huang, Yu Luo, Kanyi Pu
Summary: This study presents the construction of semiconducting polymer pro-nanomodulators (SPpMs) for deep-tissue sono-immunotherapy of orthotopic pancreatic cancer. Through ultrasound treatment, SPpMs can generate singlet oxygen molecules to ablate tumors and release immunomodulators, enhancing antitumor immune response.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2023)
Article
Oncology
Fabrice Barlesi, Pascale Tomasini, Maryam Karimi, Stefan Michiels, Judith Raimbourg, Catherine Daniel, Henri Janicot, Anne Madroszyk, Clarisse Audigier-Valette, Elisabeth Quoix, Julien Mazieres, Denis Moro-Sibilot, Eric Dansin, Olivier Molinier, Hugues Morel, Eric Pichon, Alexis Cortot, Josiane Otto, Francois Chomy, Pierre-Jean Souquet, Nicolas Cloarec, Etienne Giroux-Leprieur, Ivan Bieche, Ludovic Lacroix, Sandrine Boyault, Valery Attignon, Isabelle Soubeyran, Alain Morel, Alicia Tran-Dien, Alexandra Jacquet, Filippo Gustavo Dall'Olio, Marta Jimenez, Jean-Charles Soria, Benjamin Besse
Summary: Targeted therapies and immune checkpoint blockers have revolutionized the treatment of non-small cell lung cancer. This study investigated the use of targeted therapies and immune checkpoint blockers as maintenance therapy based on molecular characterization. The results showed no significant differences in progression-free survival between targeted therapies and standard-of-care, and immune checkpoint blockers showed enhanced benefits in patients with PD-L1 >= 1%.
CLINICAL CANCER RESEARCH
(2022)
Article
Medicine, Research & Experimental
Hongqiao Cai, Ruobing Wang, Xingren Guo, Meiyu Song, Fei Yan, Bai Ji, Yahui Liu
Summary: The combination of gemcitabine-loaded PLGA nanoparticles with a macrophage membrane coating showed promising results in reducing drug toxicity, improving tumor accumulation, and inhibiting pancreatic cancer cell proliferation through targeting signaling pathways. This approach provides potential synergistic anti-tumor efficacy for treating pancreatic cancer.
MOLECULAR PHARMACEUTICS
(2021)
Article
Biodiversity Conservation
Jussi Makinen, Elina Numminen, Pekka Niittynen, Miska Luoto, Jarno Vanhatalo
Summary: Our study investigates the impact of spatial confounding on the estimation accuracy of SDMs. We conduct simulation studies and analyze real vegetation data to explore how different types of spatial confounding affect model estimates. Our results show that model estimates for coarse scale covariates are likely to be biased if a species distribution depends on unobserved covariates with finer spatial scale. We provide recommendations for assessing and reducing the chance of biased model estimates due to spatial confounding.
Article
Oncology
Toni T. Seppala, Jacquelyn W. Zimmerman, Reecha Suri, Haley Zlomke, Gabriel D. Ivey, Annamaria Szabolcs, Christopher R. Shubert, John L. Cameron, William R. Burns, Kelly J. Lafaro, Jin He, Christopher L. Wolfgang, Ying S. Zou, Lei Zheng, David A. Tuveson, James R. Eshlemann, David P. Ryan, Alec C. Kimmelman, Theodore S. Hong, David T. Ting, Elizabeth M. Jaffee, Richard A. Burkhart
Summary: Patient-derived organoids (PDO) derived from surgical resection or endoscopic biopsies can improve clinical next-generation sequencing (NGS) and ex vivo chemotherapeutic screening. Sequencing PDOs after biomass expansion improves detection of somatic mutations and enables quantification of copy number variants. Furthermore, PDO pharmacotyping can predict clinical therapeutic response and prognosis.
CLINICAL CANCER RESEARCH
(2022)
Article
Oncology
Ifeanyichukwu Ogobuiro, Amber L. Collier, Khadeja Khan, Iago de Castro Silva, Deukwoo Kwon, Gregory C. Wilson, Patrick B. Schwartz, Alexander A. Parikh, Chet Hammill, Hong J. Kim, David A. Kooby, Daniel Abbott, Shishir K. Maithel, Rebecca A. Snyder, Syed A. Ahmad, Nipun B. Merchant, Jashodeep Datta
Summary: This study investigated whether there are racial disparities in MPR rates following NAT in PDAC patients undergoing resection. The results showed that Black patients had significantly lower rates of MPR compared to non-Black patients, but there was no significant difference in DFS or OS.
ANNALS OF SURGICAL ONCOLOGY
(2023)
Article
Oncology
Ifeanyichukwu Ogobuiro, Amber L. Collier, Khadeja Khan, Iago de Castro Silva, Deukwoo Kwon, Gregory C. Wilson, Patrick B. Schwartz, Alexander A. Parikh, Chet Hammill, Hong J. Kim, David A. Kooby, Daniel Abbott, Shishir K. Maithel, Rebecca A. Snyder, Syed A. Ahmad, Nipun B. Merchant, Jashodeep Datta
Summary: Black patients undergoing pancreatectomy are less likely to experience major pathologic response (MPR) following neoadjuvant therapy (NAT). Black race is independently associated with worse MPR, but there is no significant difference in disease-free survival (DFS) or overall survival (OS) between Black and non-Black patients.
ANNALS OF SURGICAL ONCOLOGY
(2023)
Article
Medicine, General & Internal
K. Hoyer, R. Hablesreiter, Y. Inoue, K. Yoshida, F. Briest, F. Christen, N. Kakiuchi, T. Yoshizato, Y. Shiozawa, Y. Shiraishi, J. K. Striefler, S. Bischoff, P. Lohneis, H. Putter, O. Blau, U. Keilholz, L. Bullinger, U. Pelzer, M. Hummel, H. Riess, S. Ogawa, M. Sinn, F. Damm
Summary: The study identified five biologically distinct patient clusters in PDAC, revealing an association between SMAD4 alteration status and the effectiveness of erlotinib. These findings may guide treatment choices for early-stage PDAC patients.
Review
Health Care Sciences & Services
Darren Cowzer, Mohammed Zameer, Michael Conroy, Walter Kolch, Austin G. Duffy
Summary: This article reviews therapeutic innovations targeting RAS signaling in pancreatic cancer from a clinical perspective. Despite the strong resistance of pancreatic cancer to treatment, new approaches such as inhibiting mutated KRAS, KRAS activators, and effectors show promise in breaking this therapeutic deadlock.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Review
Oncology
Yangchun Xie, Jiao Liu, Rui Kang, Daolin Tang
Summary: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive solid malignancy with poor response to current therapies and low overall survival rate, often associated with oncogenic KRAS mutations. Autophagy plays a dual role in the regulation of PDAC initiation and progression, while mitophagy is crucial for understanding the occurrence and treatment of PDAC.
FRONTIERS IN ONCOLOGY
(2021)
Article
Multidisciplinary Sciences
Zhiyuan Yuan, Yisi Li, Minglei Shi, Fan Yang, Juntao Gao, Jianhua Yao, Michael Q. Zhang
Summary: SOTIP is a versatile method that incorporates microenvironments and their interrelationships into a unified graph, allowing for spatial heterogeneity quantification, spatial domain identification, and differential microenvironment analysis across multiple spatial omics datasets. Validation on various datasets shows that SOTIP outperforms existing methods in accuracy and interpretability for spatial omics data analysis.
NATURE COMMUNICATIONS
(2022)
Article
Oncology
Benjamin Schoeps, Celina Eckfeld, Olga Prokopchuk, Jan Boettcher, Daniel Haeussler, Katja Steiger, Ihsan Ekin Demir, Percy Knolle, Oliver Soehnlein, Dieter E. Jenne, Chris D. Hermann, Achim Krueger
Summary: The study found that TIMP1 is associated with neutrophil activation in PDAC patients and directly triggers the formation of NETs, impacting the progression of PDAC. By combining plasma levels of TIMP1 and NETs, different prognostic subgroups of PDAC patients can be better identified.
Article
Oncology
George Noid, Garrett Godfrey, William Hall, Jainil Shah, Eric Paulson, Paul Knechtges, Beth Erickson, X. Allen Li
Summary: This study found a correlation between extracellular volume fraction (ECVf) calculated from dual-energy CT data and treatment response measured by changes in CA19-9 levels in pancreatic cancer patients undergoing chemoradiation therapy. The ECVf could be used to predict treatment response after neoadjuvant chemoradiation therapy for pancreatic cancer.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2023)
Article
Oncology
Sied Kebir, Vivien Ullrich, Pia Berger, Celia Dobersalske, Sarah Langer, Laurel Rauschenbach, Daniel Trageser, Andreas Till, Franziska K. Lorbeer, Anja Wieland, Timo Wilhelm-Buchstab, Ashar Ahmad, Holger Froehlich, Igor Cima, Shruthi Prasad, Johann Matschke, Verena Jendrossek, Marc Remke, Barbara M. Gruener, Alexander Roesch, Jens T. Siveke, Christel Herold-Mende, Tobias Blau, Kathy Keyvani, Frank K. H. van Landeghem, Torsten Pietsch, Jorg Felsberg, Guido Reifenberger, Michael Weller, Ulrich Sure, Oliver Bruestle, Matthias Simon, Martin Glas, Bjoern Scheffler
Summary: This study aimed to identify and target tumor cells that can survive, adapt, and expand under primary therapy in glioblastoma. The researchers found that ALDH1A1+/pAKT+ subclones accumulate and acquire drug resistance in response to temozolomide treatment. They propose a combination therapy of temozolomide and AKT inhibitors as a potential treatment strategy.
CLINICAL CANCER RESEARCH
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sean McTavish, Anh T. Van, Johannes M. Peeters, Kilian Weiss, Marcus R. Makowski, Rickmer F. Braren, Dimitrios C. Karampinos
Summary: The study aimed to assess the impact of respiratory motion and cardiac driven pulsation on renal DWI and investigate the use of asymmetrical velocity-compensated diffusion encoding waveforms for robust ADC mapping in the kidneys. The results showed that short trigger delays in respiratory-triggered scans could cause higher ADC values, especially in the right kidney. The asym-vc waveform was found to reduce ADC variation due to respiratory motion, although at the cost of reduced SNR compared to the pgse waveform.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Oncology
Franziska Erlmeier, Na Sun, Jian Shen, Annette Feuchtinger, Achim Buck, Verena M. Prade, Thomas Kunzke, Peter Schraml, Holger Moch, Michael Autenrieth, Wilko Weichert, Arndt Hartmann, Axel Walch
Summary: In this study, high mass resolution matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was used to classify and detect biomarkers for four common primary renal tumors. By analyzing tissue specimens, the metabolic pathways and profiles of different renal tumor subtypes were determined. This method has a high accuracy in tumor discrimination and can be a useful tool in differential diagnosis and biomarker detection.
Article
Oncology
Juan I. Pisula, Rabi R. Datta, Leandra Boerner Valdez, Jan-Robert Avemarg, Jin-On Jung, Patrick Plum, Heike Loeser, Philipp Lohneis, Monique Meuschke, Daniel Pinto dos Santos, Florian Gebauer, Alexander Quaas, Axel Walch, Christiane J. Bruns, Kai Lawonn, Felix C. Popp, Katarzyna Bozek
Summary: This study presents a deep-learning method based on convolutional neural networks (CNNs) for scoring microscopy images of gastroesophageal adenocarcinoma (GEA) patients. The method accurately detects HER2 overexpression and offers automated detection without the need for manual assessment and costly in situ hybridisation (ISH) tests. The approach shows high accuracy, precision, and recall, and exhibits superior performance in cases that require additional ISH testing.
BRITISH JOURNAL OF CANCER
(2023)
Article
Medical Laboratory Technology
Masanori Murakami, Na Sun, Fengxia Li, Annette Feuchtinger, Celso Gomez-Sanchez, Martin Fassnacht, Martin Reincke, Irina Bancos, Axel Walch, Matthias Kroiss, Felix Beuschlein
Summary: Recent advances in omics techniques have allowed detailed genetic characterization of cortisol-producing adrenal adenoma (CPA). The current study conducted a comprehensive mass spectrometry imaging (MSI) map of CPAs in relation to clinical phenotypes and immunohistochemical profiles of steroidogenic enzymes. The results revealed novel metabolic links between endocrine function and tumorigenesis, which will further support the understanding of CPA pathophysiology.
CLINICAL CHEMISTRY
(2023)
Article
Immunology
Emma Morrish, Tim Wartewig, Andreas Kratzert, Marc Rosenbaum, Katja Steiger, Juergen Ruland
Summary: VAV1-MYO1F is a newly identified fusion protein that is frequently detected in T-cell non-Hodgkin's lymphoma (T-NHL) patients. The pathophysiological functions of VAV1-MYO1F in lymphomagenesis are not well defined. In this study, transgenic mouse models were generated to conditionally express VAV1-MYO1F in T-cells. The results demonstrate that VAV1-MYO1F triggers cell autonomous activation of T-cell signaling and induces aberrant T-cell differentiation, proliferation, and neoplastic transformation.
EUROPEAN JOURNAL OF IMMUNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Patrick Bilic, Patrick Christ, Hongwei Bran Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohoefer, Julian Walter Holch, Wieland Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipkova, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Huelsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giro-I-Nieto, Felix Gruen, Xu Han, Pheng-Ann Heng, Jurgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jaeger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John Lowengrub, Jun Ma, Klaus Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern Menze
Summary: This study reports the setup and results of the Liver Tumor Segmentation Benchmark (LiTS), which involved diverse image datasets and evaluated multiple segmentation algorithms. The best algorithms achieved high scores for liver segmentation, but varied performance for tumor segmentation. Further research is needed for tumor detection. LiTS remains an active benchmark and resource for liver-related segmentation tasks.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Acoustics
Anna Barner, Egon Burian, Alexander Simon, Katty Castillo, Birgit Waschulzik, Rickmer Braren, Uwe Heemann, Joseph Osterwalder, Alexander Spiel, Markus Heim, Konrad Friedrich Stock
Summary: This study investigated the localisation-dependent lesion patterns in COVID-19 using lung ultrasonography (LUS) and their correlation with thoracic computed tomography (CT) and clinical parameters. The LUS score showed an association with respiratory status and C-reactive protein, but weak correlation with the CT score. LUS could reflect the clinical condition of patients, although its prognostic value remains uncertain.
ULTRASCHALL IN DER MEDIZIN
(2023)
Article
Public, Environmental & Occupational Health
Daniel Maier, Joerg Janne Vehreschild, Barbara Uhl, Sandra Meyer, Karin Berger-Thuermel, Melanie Boerries, Rickmer Braren, Viktor Gruenwald, Boris Hadaschik, Stefan Palm, Susanne Singer, Martin Stuschke, David Juarez, Pierre Delpy, Mohamed Lambarki, Michael Hummel, Caecilia Engels, Stefanie Andreas, Nicola Goekbuget, Kristina Ihrig, Susen Burock, Dietmar Keune, Angelika Eggert, Ulrich Keilholz, Hagen Schulz, Daniel Buettner, Steffen Loeck, Mechthild Krause, Mirko Esins, Frank Ressing, Martin Schuler, Christian Brandts, Daniel P. Brucker, Gabriele Husmann, Thomas Oellerich, Patrick Metzger, Frederik Voigt, Anna L. Illert, Matthias Theobald, Thomas Kindler, Ursula Sudhof, Achim Reckmann, Felix Schwinghammer, Daniel Nasseh, Wilko Weichert, Michael von Bergwelt-Baildon, Michael Bitzer, Nisar Malek, Oeznur Oener, Klaus Schulze-Osthoff, Stefan Bartels, Joerg Haier, Raimund Ammann, Anja Franziska Schmidt, Bernd Guenther, Melanie Janning, Bernd Kasper, Sonja Loges, Stephan Stilgenbauer, Peter Kuhn, Eugen Tausch, Silvana Runow, Alexander Kerscher, Michael Neumann, Martin Breu, Martin Lablans, Hubert Serve
Summary: The Clinical Communication Platform of the German Cancer Consortium is a potential catalyst for translational cancer research, providing comprehensive patient groups and improving understanding of the clinical course of various malignancies. It serves as a decision-making tool for clinical trial design and contributes to the evaluation of scientific findings in real-world conditions.
EUROPEAN JOURNAL OF EPIDEMIOLOGY
(2023)
Article
Veterinary Sciences
Alexandra Kehl, Mario Valkai, Anna-Lena van de Weyer, Maria Brockmann, Katja Steiger, Benjamin Schusser, Heike Aupperle-Lellbach
Summary: Carcinomas and lymphomas are common intestinal tumors in dogs. Non-invasive biomarkers like microRNAs could help distinguish them from intestinal inflammation. This study measured the expression of specific microRNAs in different types of intestinal tumors and tissues, and observed significant changes in microRNA expression patterns. However, further research is needed to understand the role of different microRNAs in various types of tissue and cancer.
VETERINARY SCIENCES
(2023)
Article
Biology
Ivona Mateska, Anke Witt, Eman Hagag, Anupam Sinha, Canelif Yilmaz, Evangelia Thanou, Na Sun, Ourania Kolliniati, Maria Patschin, Heba Abdelmegeed, Holger Henneicke, Waldemar Kanczkowski, Ben Wielockx, Christos Tsatsanis, Andreas Dahl, Axel Karl Walch, Ka Wan Li, Mirko Peitzsch, Triantafyllos Chavakis, Vasileia Ismini Alexaki
Summary: In this study, the researchers found that IL-1β reduced SDHB expression by upregulating DNMT1 and methylation of the SDHB promoter, disrupting the TCA cycle and leading to succinate accumulation and disturbed steroidogenesis. These findings provide a mechanistic explanation for adrenal dysfunction in severe inflammation and offer a potential target for therapeutic intervention.
Article
Oncology
Zoe Strand, Finn Schrickel, Sophie Dobiasch, Andreas R. Thomsen, Katja Steiger, Jens Gempt, Bernhard Meyer, Stephanie E. Combs, Daniela Schilling
Summary: A new 3D model was established to study the growth, radiosensitivity, and DNA repair of glioblastoma multiforme (GBM) cells. Compared to traditional 2D cultures, this 3D model allows for more accurate measurement of tumor cell size and shows active DNA repair mechanisms.
Article
Cell Biology
Fei Wang, Ali Bashiri Dezfouli, Mohammad Khosravi, Wolfgang Sievert, Stefan Stangl, Melissa Schwab, Zhiyuan Wu, Katja Steiger, Hu Ma, Gabriele Multhoff
Summary: This study reveals a new pathway in which CBD induces apoptosis and macroautophagy in human colorectal cancer cells by regulating the interactions between p53 and Hsp70.
CELL DEATH DISCOVERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Friederike Jungmann, Sebastian Ziegelmayer, Fabian K. Lohoefer, Stephan Metz, Christina Mueller-Leisse, Maximilian Englmaier, Marcus R. Makowski, Georgios A. Kaissis, Rickmer F. Braren
Summary: This study evaluated the perception of different types of AI-based assistance and the interaction of radiologists with the algorithm's predictions and certainty measures. Four radiologists classified Breast Imaging-Reporting and Data System 4 (BI-RADS4) lesions and the effect of different AI-based assistance on their performance was measured. The results showed that trust in the algorithm's performance was mostly dependent on the certainty of the predictions in combination with a plausible heatmap, and the human-AI interaction varied widely and was influenced by personality traits.
EUROPEAN RADIOLOGY
(2023)
