Schilling, Bastian

Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade

McGranahan, N., Furness, A. J. S., Rosenthal, R., Ramskov, S., Lyngaa, R., Saini, S. K., Jamal-Hanjani, M., Wilson, G. A., Birkbak, N. J., Hiley, C. T., et al. (2016) · Science

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

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Genomic correlates of response to CTLA-4 blockade in metastatic melanoma

Van Allen, E. M., Miao, D., Schilling, B., Shukla, S. A., Blank, C., Zimmer, L., Sucker, A., Hillen, U., Geukes Foppen, M. H., Goldinger, S. M., et al. (2015) · Science

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

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A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade

Jerby-Arnon, L., Shah, P., Cuoco, M. S., Rodman, C., Su, M.-J., Melms, J. C., Leeson, R., Kanodia, A., Mei, S., Lin, J.-R., et al. (2018) · Cell

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 1,429

Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma

Liu, D., Schilling, B., Liu, D., Sucker, A., Livingstone, E., Jerby-Arnon, L., Zimmer, L., Gutzmer, R., Satzger, I., Loquai, C., et al. (2019) · Nature Medicine

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 1,039

Genomic correlates of response to immune checkpoint blockade in microsatellite-stable solid tumors

Miao, D., Margolis, C. A., Vokes, N. I., Liu, D., Taylor-Weiner, A., Wankowicz, S. M., Adeegbe, D., Keliher, D., Schilling, B., Tracy, A., et al. (2018) · Nature Genetics

Cancer Immunotherapy and BiomarkersCancer Genomics and Diagnostics

Cited by 620

Baseline Biomarkers for Outcome of Melanoma Patients Treated with Pembrolizumab

Weide, B., Martens, A., Hassel, J. C., Berking, C., Postow, M. A., Bisschop, K., Simeone, E., Mangana, J., Schilling, B., Di Giacomo, A. M., et al. (2016) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 589

Baseline Peripheral Blood Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab

Martens, A., Wistuba-Hamprecht, K., Foppen, M. G., Yuan, J., Postow, M. A., Wong, P., Romano, E., Khammari, A., Dreno, B., Capone, M., et al. (2016) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 541

Deep neural networks are superior to dermatologists in melanoma image classification

Brinker, T. J., Hekler, A., Enk, A. H., Berking, C., Haferkamp, S., Hauschild, A., Weichenthal, M., Klode, J., Schadendorf, D., Holland-Letz, T., et al. (2019) · European Journal of Cancer

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 415

RETRACTED ARTICLE: sFRP2 in the aged microenvironment drives melanoma metastasis and therapy resistance

Kaur, A., Webster, M. R., Marchbank, K., Behera, R., Ndoye, A., Kugel, C. H., Dang, V. M., Appleton, J., O’Connell, M. P., Cheng, P., et al. (2016) · Nature

Melanoma and MAPK PathwaysWnt/β-catenin signaling in development and cancer

Cited by 398

Age Correlates with Response to Anti-PD1, Reflecting Age-Related Differences in Intratumoral Effector and Regulatory T-Cell Populations

Kugel, C. H., Douglass, S. M., Webster, M. R., Kaur, A., Liu, Q., Yin, X., Weiss, S. A., Darvishian, F., Al-Rohil, R. N., Ndoye, A., et al. (2018) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 367

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

Haggenmüller, S., Maron, R. C., Hekler, A., Utikal, J. S., Barata, C., Barnhill, R. L., Beltraminelli, H., Berking, C., Betz-Stablein, B., Blum, A., et al. (2021) · European Journal of Cancer

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 267

Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks.

Maron, R. C., Weichenthal, M., Utikal, J. S., Hekler, A., Berking, C., Hauschild, A., Enk, A. H., Haferkamp, S., Klode, J., Schadendorf, D., et al. (2019) · European Journal of Cancer

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 219

Increases in Absolute Lymphocytes and Circulating CD4+ and CD8+ T Cells Are Associated with Positive Clinical Outcome of Melanoma Patients Treated with Ipilimumab

Martens, A., Wistuba-Hamprecht, K., Yuan, J., Postow, M. A., Wong, P., Capone, M., Madonna, G., Khammari, A., Schilling, B., Sucker, A., et al. (2016) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

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Genetic evolution of T-cell resistance in the course of melanoma progression

Sucker, A., Zhao, F., Real, B., Heeke, C., Bielefeld, N., Maβen, S., Horn, S., Moll, I., Maltaner, R., Horn, P. A., et al. (2014) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

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Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark

Brinker, T. J., Hekler, A., Hauschild, A., Berking, C., Schilling, B., Enk, A. H., Haferkamp, S., Karoglan, A., von Kalle, C., Weichenthal, M., et al. (2019) · European Journal of Cancer

Cutaneous Melanoma Detection and ManagementAI in cancer detection

Cited by 157

Peripheral CD8 effector-memory type 1 T-cells correlate with outcome in ipilimumab-treated stage IV melanoma patients

Wistuba-Hamprecht, K., Martens, A., Heubach, F., Romano, E., Geukes Foppen, M., Yuan, J., Postow, M., Wong, P., Mallardo, D., Schilling, B., et al. (2017) · European Journal of Cancer

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

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Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification

Höhn, J., Krieghoff-Henning, E., Jutzi, T. B., von Kalle, C., Utikal, J. S., Meier, F., Gellrich, F. F., Hobelsberger, S., Hauschild, A., Schlager, J. G., et al. (2021) · European Journal of Cancer

AI in cancer detectionCutaneous Melanoma Detection and Management

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Effects of Label Noise on Deep Learning-Based Skin Cancer Classification

Hekler, A., Kather, J. N., Krieghoff-Henning, E., Utikal, J. S., Meier, F., Gellrich, F. F., Upmeier zu Belzen, J., French, L., Schlager, J. G., Ghoreschi, K., et al. (2020) · Frontiers in Medicine

Cutaneous Melanoma Detection and ManagementAI in cancer detection

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