Cancer research faces challenges due to the genetic diversity within tumors and individual variability. Precision medicine aims to identify genomic and molecular factors linked to clinical outcomes, leveraging large datasets for drug discovery and patient stratification. We introduce PANDA (PAN-cancer Data Analysis web tool) (https://panda.bio.uniroma2.it), a web server designed for analyzing TCGA genomic data. A total of 32 tumor types and 10,711 samples were selected for this analysis. PANDA simplifies complex tasks such as differential expression, survival analysis, and patient stratification, incorporating clinical factors like sex, stage, and treatment history. It also enables the exploration of biological pathways and immune cell type proportion, providing insights into tumor progression. PANDA is user-friendly, designed for researchers with limited informatics expertise, and supports diverse analyses to advance cancer research.
Pepe, G., Notturno Granieri, C., Appierdo, R., Ausiello, G., Helmer Citterich, M., Gherardini, P.f. (2025). PANDA: PAN Cancer Data Analysis Web Tool. JOURNAL OF MOLECULAR BIOLOGY [10.1016/j.jmb.2025.169158].
PANDA: PAN Cancer Data Analysis Web Tool
Pepe, G
;Notturno Granieri, C;Appierdo, R;Ausiello, G;Helmer Citterich, M
;Gherardini, P F
2025-04-16
Abstract
Cancer research faces challenges due to the genetic diversity within tumors and individual variability. Precision medicine aims to identify genomic and molecular factors linked to clinical outcomes, leveraging large datasets for drug discovery and patient stratification. We introduce PANDA (PAN-cancer Data Analysis web tool) (https://panda.bio.uniroma2.it), a web server designed for analyzing TCGA genomic data. A total of 32 tumor types and 10,711 samples were selected for this analysis. PANDA simplifies complex tasks such as differential expression, survival analysis, and patient stratification, incorporating clinical factors like sex, stage, and treatment history. It also enables the exploration of biological pathways and immune cell type proportion, providing insights into tumor progression. PANDA is user-friendly, designed for researchers with limited informatics expertise, and supports diverse analyses to advance cancer research.File | Dimensione | Formato | |
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