SEER-17 Five-Year Aggregate Survival Data for 11 Cancer Types

Reference aggregate survival proportions at years 0–5 post-recurrence for both local/regional-recurrence (LR) and distant-recurrence (DR) populations across 11 cancer types, extracted from the Surveillance, Epidemiology, and End Results SEER-17 registry (cases diagnosed before 2021). Also includes sample sizes, proportion male, and mean age for each subgroup.

Usage

tumour_data_seer

Format

A data frame with 22 rows (2 recurrence types × 11 tumours) and 12 columns:

Tumor

Cancer type label.

Recurrence

Recurrence type: "LR" or "DR".

S0

Survival at year 0 (always 1).

S1

Survival at year 1.

S2

Survival at year 2.

S3

Survival at year 3.

S4

Survival at year 4.

S5

Survival at year 5.

prop_male

Proportion of patients who are male.

mean_age

Mean (or median) age at recurrence.

N_LR

Number of LR patients in the SEER cohort.

N_DR

Number of DR patients in the SEER cohort.

Source

Surveillance, Epidemiology, and End Results (SEER) Program (https://seer.cancer.gov/) SEER*Stat Database: SEER 17 Regs Research Data, Nov 2022 Sub (2000–2020).

Details

The 11 tumour types are: Breast, Bladder, Colon & Rectum, Esophageal, Kidney, Liver, Lung, Melanoma, Ovarian, Pancreatic, and Stomach.

See also

run_tumour_analysis

Examples

data(tumour_data_seer)
dplyr::filter(tumour_data_seer, Tumor == "Melanoma")
#> # A tibble: 2 × 12
#>   Tumor  Recurrence    S0    S1    S2    S3    S4    S5 prop_male mean_age  N_LR
#>   <chr>  <chr>      <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>     <dbl>    <dbl> <int>
#> 1 Melan… LR             1 0.996 0.989 0.983 0.978 0.975     0.58        61 64501
#> 2 Melan… DR             1 0.549 0.440 0.394 0.363 0.341     0.692       62 64501
#> # ℹ 1 more variable: N_DR <int>