INFO

2. Select dataset:

Liu_2014 (n=126) TCGA-RPPA (n=873) DeMarchi_2015 (n=112) Tang_2018 (n=118)

Survival options

Survival: INFO
Split patients by
Auto select best cutoff
Trichotomization INFO
Follow up threshold: INFO
Censore at threshold: INFO
Compute median survival: INFO
Export plot data as text:
Exclude samples with a protein expression of 0: INFO

Restrict analysis to subtypes...

ER status: (n=1126)
PGR status: (n=946)
HER2 status: (n=704)

Stage: (n=923)
Grade: (n=160)
Lymph node status: (n=1153)

T: (n=984)
N: (n=859)
M: (n=757)

Restrict analysis to selected cohorts...

Race: (n=930)
Menopausal status: (n=125)

Radiation therapy: (n=122)
Hormone therapy: (n=1111)
Chemotherapy: (n=999)

Compare datasets

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%).

Please note: the generated p value does not include correction for multiple hypothesis testing by default.

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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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