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001     168179
005     20240229123236.0
024 7 _ |a 10.1038/s43018-020-0087-6
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037 _ _ |a DKFZ-2021-00719
041 _ _ |a English
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100 1 _ |a Kather, Jakob Nikolas
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245 _ _ |a Pan-cancer image-based detection of clinically actionable genetic alterations.
260 _ _ |a London
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520 _ _ |a Molecular alterations in cancer can cause phenotypic changes in tumor cells and their micro-environment. Routine histopathology tissue slides - which are ubiquitously available - can reflect such morphological changes. Here, we show that deep learning can consistently infer a wide range of genetic mutations, molecular tumor subtypes, gene expression signatures and standard pathology biomarkers directly from routine histology. We developed, optimized, validated and publicly released a one-stop-shop workflow and applied it to tissue slides of more than 5000 patients across multiple solid tumors. Our findings show that a single deep learning algorithm can be trained to predict a wide range of molecular alterations from routine, paraffin-embedded histology slides stained with hematoxylin and eosin. These predictions generalize to other populations and are spatially resolved. Our method can be implemented on mobile hardware, potentially enabling point-of-care diagnostics for personalized cancer treatment. More generally, this approach could elucidate and quantify genotype-phenotype links in cancer.
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700 1 _ |a Heij, Lara R
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700 1 _ |a Grabsch, Heike I
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700 1 _ |a Loeffler, Chiara
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700 1 _ |a Echle, Amelie
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700 1 _ |a Muti, Hannah Sophie
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700 1 _ |a Krause, Jeremias
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700 1 _ |a Niehues, Jan M
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700 1 _ |a Sommer, Kai A J
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700 1 _ |a Bankhead, Peter
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700 1 _ |a Kooreman, Loes F S
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700 1 _ |a Schulte, Jefree J
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700 1 _ |a Cipriani, Nicole A
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700 1 _ |a Buelow, Roman D
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700 1 _ |a Boor, Peter
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700 1 _ |a Ortiz-Brüchle, Nadi-Na
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700 1 _ |a Hanby, Andrew M
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700 1 _ |a Speirs, Valerie
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700 1 _ |a Kochanny, Sara
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700 1 _ |a Patnaik, Akash
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700 1 _ |a Srisuwananukorn, Andrew
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700 1 _ |a Brenner, Hermann
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700 1 _ |a Hoffmeister, Michael
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700 1 _ |a van den Brandt, Piet A
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700 1 _ |a Jäger, Dirk
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700 1 _ |a Trautwein, Christian
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700 1 _ |a Pearson, Alexander T
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700 1 _ |a Luedde, Tom
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773 _ _ |a 10.1038/s43018-020-0087-6
|g Vol. 1, no. 8, p. 789 - 799
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