Warning: Use of undefined constant filterByMrna - assumed 'filterByMrna' (this will throw an Error in a future version of PHP) in /var/www/html/analysis/index.php on line 121 AMLBreast cancerColon cancerGastric cancerLung cancerMyelomaOvarian cancerPancreatic cancer Warning: Use of undefined constant filterByRnaseq - assumed 'filterByRnaseq' (this will throw an Error in a future version of PHP) in /var/www/html/analysis/index.php on line 124 Breast cancerLiver cancerPan-cancer Warning: Use of undefined constant filterByMirna - assumed 'filterByMirna' (this will throw an Error in a future version of PHP) in /var/www/html/analysis/index.php on line 127 Breast cancerLiver cancerPan-cancer Warning: Use of undefined constant filterByProtein - assumed 'filterByProtein' (this will throw an Error in a future version of PHP) in /var/www/html/analysis/index.php on line 130 Breast cancer Warning: Use of undefined constant filterByCustom - assumed 'filterByCustom' (this will throw an Error in a future version of PHP) in /var/www/html/analysis/index.php on line 133 Custom Warning: Use of undefined constant filterByDna - assumed 'filterByDna' (this will throw an Error in a future version of PHP) in /var/www/html/analysis/index.php on line 136 Pan-cancer DNA Warning: Use of undefined constant filterByImmun - assumed 'filterByImmun' (this will throw an Error in a future version of PHP) in /var/www/html/analysis/index.php on line 139 Immunotherapy
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METABRIC: long follow-up (median: 94 months), average characteristics (78% ER positive, 12% HER2 positive), treatment data available for this dataset only! TCGA: very short follow-up (median only 25 months), no grade. GSE40267: almost exclusively ER negative patients (92%). GSE19783: nodal status not available, 38% ER negative, high proportion of HER2 positive patients (18%).
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Please note: the generated p value does not include correction for multiple hypothesis testing by default.
Please kindly cite our latest paper to support further development: Győrffy B. Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancer, Computational and Structural Biotechnology Journal, 2021;19:4101-4109, https://doi.org/10.1016/j.csbj.2021.07.014
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