Langer, Rupert

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1

Klionsky, D. J., Abdel-Aziz, A. K., Abdelfatah, S., Abdellatif, M., Abdoli, A., Abel, S., Abeliovich, H., Abildgaard, M. H., Abudu, Y. P., Acevedo-Arozena, A., et al. (2021) · Autophagy

Autophagy in Disease and TherapyCalcium signaling and nucleotide metabolism

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Activation of Human Enteric Neurons by Supernatants of Colonic Biopsy Specimens From Patients With Irritable Bowel Syndrome

Buhner, S., Li, Q., Vignali, S., Barbara, G., De Giorgio, R., Stanghellini, V., Cremon, C., Zeller, F., Langer, R., Daniel, H., et al. (2009) · Gastroenterology

Gastrointestinal motility and disordersMast cells and histamine

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Virus-induced senescence is a driver and therapeutic target in COVID-19

Lee, S., Yu, Y., Trimpert, J., Benthani, F., Mairhofer, M., Richter-Pechanska, P., Wyler, E., Belenki, D., Kaltenbrunner, S., Pammer, M., et al. (2021) · Nature

Telomeres, Telomerase, and SenescenceCOVID-19 Clinical Research Studies

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Loss of p53 in enterocytes generates an inflammatory microenvironment enabling invasion and lymph node metastasis of carcinogen-induced colorectal tumors

Schwitalla, S., Ziegler, P. K., Horst, D., Becker, V., Kerle, I., Begus-Nahrmann, Y., Lechel, A., Rudolph, K. L., Langer, R., Slotta-Huspenina, J., et al. (2013) · Cancer Cell

Cancer-related Molecular PathwaysGenetic factors in colorectal cancer

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Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

Wagner, S. J., Reisenbüchler, D., West, N. P., Niehues, J. M., Zhu, J., Foersch, S., Veldhuizen, G. P., Quirke, P., Grabsch, H. I., van den Brandt, P. A., et al. (2023) · Cancer Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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The Impact of Neural Invasion Severity in Gastrointestinal Malignancies: A Clinicopathological Study

Liebl, F., Demir, I. E., Mayer, K., Schuster, T., D'Haese, J. G., Becker, K., Langer, R., Bergmann, F., Wang, K., Rosenberg, R., et al. (2014) · Annals of Surgery

Gastric Cancer Management and OutcomesPancreatic and Hepatic Oncology Research

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Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study

Muti, H. S., Heij, L. R., Keller, G., Kohlruss, M., Langer, R., Dislich, B., Cheong, J.-H., Kim, Y.-W., Kim, H., Kook, M.-C., et al. (2021) · The Lancet Digital Health

AI in cancer detectionGastric Cancer Management and Outcomes

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Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

Echle, A., Ghaffari Laleh, N., Quirke, P., Grabsch, H. I., Muti, H. S., Saldanha, O. L., Brockmoeller, S. F., van den Brandt, P. A., Hutchins, G. G. A., Richman, S. D., et al. (2022) · ESMO Open

AI in cancer detectionGenetic factors in colorectal cancer

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Benchmarking foundation models as feature extractors for weakly supervised computational pathology

Neidlinger, P., El Nahhas, O. S. M., Muti, H. S., Lenz, T., Hoffmeister, M., Brenner, H., van Treeck, M., Langer, R., Dislich, B., Behrens, H. M., et al. (2025) · Nature Biomedical Engineering

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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Association of Pretherapeutic Expression of Chemotherapy-Related Genes with Response to Neoadjuvant Chemotherapy in Barrett Carcinoma

Langer, R., Specht, K., Becker, K., Ewald, P., Bekesch, M., Sarbia, M., Busch, R., Feith, M., Stein, H. J., Siewert, J.-R., et al. (2005) · Clinical Cancer Research

Esophageal Cancer Research and TreatmentGastric Cancer Management and Outcomes

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Benchmarking artificial intelligence methods for end-to-end computational pathology

Laleh, N. G., Muti, H. S., Lavinia Loeffler, C. M., Echle, A., Saldanha, O. L., Mahmood, F., Lu, M. Y., Trautwein, C., Langer, R., Dislich, B., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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