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zadetkov: 184
1.
  • Gastric cancer Gastric cancer
    Smyth, Elizabeth C; Nilsson, Magnus; Grabsch, Heike I ... The Lancet (British edition), 08/2020, Letnik: 396, Številka: 10251
    Journal Article
    Recenzirano

    Gastric cancer is the fifth most common cancer and the third most common cause of cancer death globally. Risk factors for the condition include Helicobacter pylori infection, age, high salt intake, ...
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2.
  • Deep learning can predict m... Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
    Kather, Jakob Nikolas; Pearson, Alexander T; Halama, Niels ... Nature medicine, 07/2019, Letnik: 25, Številka: 7
    Journal Article
    Recenzirano
    Odprti dostop

    Microsatellite instability determines whether patients with gastrointestinal cancer respond exceptionally well to immunotherapy. However, in clinical practice, not every patient is tested for MSI, ...
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3.
  • Individual Patient Data Meta-Analysis of the Value of Microsatellite Instability As a Biomarker in Gastric Cancer
    Pietrantonio, Filippo; Miceli, Rosalba; Raimondi, Alessandra ... Journal of clinical oncology, 12/2019, Letnik: 37, Številka: 35
    Journal Article
    Recenzirano
    Odprti dostop

    In the CLASSIC and MAGIC trials, microsatellite instability (MSI)-high status was a favorable prognostic and potential negative predictive factor for neoadjuvant/adjuvant chemotherapy in resectable ...
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4.
  • EORTC-1203-GITCG - the "INN... EORTC-1203-GITCG - the "INNOVATION"-trial: Effect of chemotherapy alone versus chemotherapy plus trastuzumab, versus chemotherapy plus trastuzumab plus pertuzumab, in the perioperative treatment of HER2 positive, gastric and gastroesophageal junction adenocarcinoma on pathologic response rate: a randomized phase II-intergroup trial of the EORTC-Gastrointestinal Tract Cancer Group, Korean Cancer Study Group and Dutch Upper GI-Cancer group
    Wagner, Anna Dorothea; Grabsch, Heike I; Mauer, Murielle ... BMC cancer, 05/2019, Letnik: 19, Številka: 1
    Journal Article
    Recenzirano
    Odprti dostop

    10-20% of patients with gastric cancer (GC) have HER2+ tumors. Addition of trastuzumab (T) to cisplatin/fluoropyrimidine-based chemotherapy (CT) improved survival in metastatic, HER2+ GC. When ...
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5.
  • Peri-operative chemotherapy... Peri-operative chemotherapy with or without bevacizumab in operable oesophagogastric adenocarcinoma (UK Medical Research Council ST03): primary analysis results of a multicentre, open-label, randomised phase 2–3 trial
    Cunningham, David, Prof; Stenning, Sally P, Prof; Smyth, Elizabeth C, MBBCh ... The lancet oncology, 03/2017, Letnik: 18, Številka: 3
    Journal Article
    Recenzirano
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    Summary Background Peri-operative chemotherapy and surgery is a standard of care for patients with resectable oesophagogastric adenocarcinoma. Bevacizumab, a monoclonal antibody against VEGF, ...
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6.
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7.
  • Pan-cancer image-based detection of clinically actionable genetic alterations
    Kather, Jakob Nikolas; Heij, Lara R; Grabsch, Heike I ... Nature cancer, 08/2020, Letnik: 1, Številka: 8
    Journal Article
    Recenzirano
    Odprti dostop

    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 ...
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8.
  • AQP5 enriches for stem cell... AQP5 enriches for stem cells and cancer origins in the distal stomach
    Tan, Si Hui; Swathi, Yada; Tan, Shawna ... Nature (London), 02/2020, Letnik: 578, Številka: 7795
    Journal Article
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    LGR5 marks resident adult epithelial stem cells at the gland base in the mouse pyloric stomach , but the identity of the equivalent human stem cell population remains unknown owing to a lack of ...
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9.
  • Weakly supervised annotatio... Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology
    Schrammen, Peter Leonard; Ghaffari Laleh, Narmin; Echle, Amelie ... The Journal of pathology, January 2022, 2022-01-00, 20220101, Letnik: 256, Številka: 1
    Journal Article
    Recenzirano
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    Deep learning is a powerful tool in computational pathology: it can be used for tumor detection and for predicting genetic alterations based on histopathology images alone. Conventionally, tumor ...
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10.
  • Deep learning detects genet... Deep learning detects genetic alterations in cancer histology generated by adversarial networks
    Krause, Jeremias; Grabsch, Heike I; Kloor, Matthias ... The Journal of Pathology, 20/May , Letnik: 254, Številka: 1
    Journal Article
    Recenzirano
    Odprti dostop

    Deep learning can detect microsatellite instability (MSI) from routine histology images in colorectal cancer (CRC). However, ethical and legal barriers impede sharing of images and genetic data, ...
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zadetkov: 184

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