Cancer Registry - Tumor Characteristics

This cancer registry dataset provides detailed, standardized information on tumor characteristics, including primary site, histology, stage, grade, size, lymph node involvement, metastasis, biomarker results, and treatment details for SEER reporting and outcomes tracking. It enables comprehensive analysis of cancer patterns, treatment efficacy, and patient outcomes across diverse populations.

  • opened 5 times
  • last updated 2 Nov 2025
  • by GoMask
The brief that made it

Population-level cancer surveillance and epidemiology

Sample rows

preview · 8 of 100 rows · all 23 columns
tumor_idstringtreatment_typestringnumber_of_lymph_nodes_positiveintegerlymph_node_involvementbooleanmetastasis_sitesstringpatient_idstringprimary_sitestringhistology_typestringstagestringgradestringtumor_size_mmfloatnumber_of_lymph_nodes_examinedintegermetastasis_presentbooleanbiomarker_1_namestringbiomarker_1_resultstringbiomarker_2_namestringbiomarker_2_resultstringbiomarker_3_namestringbiomarker_3_resultstringtreatment_start_datedatetreatment_end_datedateoutcome_statusstringlast_followup_datedate
TUM001Surgery2trueblankPAT1001BreastInvasive ductal carcinomaIIAModerately differentiated32.412falseERPositiveHER2NegativePRPositive2022-01-142022-02-05Remission2023-10-24
TUM002Surgery0falseblankPAT1002LungAdenocarcinomaIBWell differentiated20.19falseEGFRNegativeALKNegativeblankblank2021-07-082021-07-20Alive2023-12-09
TUM003Chemotherapy6trueLiverPAT1003ColonAdenocarcinomaIIIBPoorly differentiated45.717trueKRASPositiveNRASNegativeBRAFNegative2022-04-152022-08-01Recurrence2023-09-17
TUM004Radiation3trueblankPAT1004ProstateAdenocarcinomaIIIModerately differentiated34.810falsePSAPositiveblankblankblankblank2021-10-022021-11-18Alive2023-08-29
TUM005Chemotherapy8trueLiver, LungPAT1005OvarySerous carcinomaIIICPoorly differentiated77.520trueCA-125PositiveBRCA1NegativeBRCA2Negative2023-01-112023-05-25Deceased2023-07-31
TUM006Surgery0falseblankPAT1006RectumAdenocarcinomaIIBModerately differentiated38.28falseKRASNegativeMSINegativeblankblank2022-09-052022-09-22Remission2023-10-12
TUM007Immunotherapy5trueBonePAT1007LungSquamous cell carcinomaIIIAPoorly differentiated37.915trueEGFRNegativePD-L1Positiveblankblank2023-03-032023-07-16Recurrence2023-11-02
TUM008Surgery0falseblankPAT1008BladderTransitional cell carcinomaIWell differentiated19.25falseFGFR3Negativeblankblankblankblank2022-02-192022-03-07Remission2023-06-15

What the 100 rows show

from the 100-row sample

Chemotherapy (treatment type) stands out: mean number_of_lymph_nodes_positive is 5.6, against 1.4 for the rest.

  • 62%lymph_node_involvement = true
  • 2median number_of_lymph_nodes_positive
  • 4biomarker 3 results
  • 4outcome statuses
  • 5grades
  • 5biomarker 2 results
Mean number_of_lymph_nodes_positive by treatment_type100 rows
0482.8chem…23 ro…0.41Surg…22 ro…0.06surg…18 ro…5.6Chem…17 ro…1.4radi…9 rows2.1Radi…8 rows4.0Immu…3 rows
number_of_lymph_nodes_positive100 rows, in bands of 1
02040387221165524lymph_node_involvement from 1159number_of_lymph_nodes_positive →

Every row with number_of_lymph_nodes_positive of 1 or more has lymph_node_involvement = true. None below it.

metastasis_sites34 rows with a value · 66 left blank
  1. liver5
  2. Liver, Lung4
  3. Lung4
  4. Liver2
  5. Bone2
  6. Bone, Liver2
  7. Brain, Liver2
  8. lung2
  9. liver,lung2
  10. bone2
23 columns by typefrom the column list below
  • string 15
  • integer 2
  • float 1
  • date 3
  • boolean 2

Columns

23 columns in four groups
blueprint · 23 columns
columntypedescriptionexample
Text 15 columns
tumor_idstringUnique identifier for each tumor recorduniqueTUM001
patient_idstringUnique identifier for the patient associated with the tumorPAT1001
primary_sitestringAnatomical location where the tumor originated (e.g., breast, lung, colon)Breast
histology_typestringMicroscopic classification of tumor cells (e.g., adenocarcinoma, squamous cell carcinoma)Adenocarcinoma
stagestringTumor stage according to a standardized system (e.g., TNM, SEER Summary Stage)IIA
gradestringTumor grade indicating degree of differentiation (e.g., well, moderate, poor)5 values · optionalWell differentiated
metastasis_sitesstringComma-separated list of anatomical sites where metastasis is present (e.g., liver, bone)optionalLiver
biomarker_1_namestringName of the first biomarker tested (e.g., ER, HER2, KRAS)optionalER
biomarker_1_resultstringResult of the first biomarker test (e.g., positive, negative, equivocal)6 results · optionalPositive
biomarker_2_namestringName of the second biomarker tested (if applicable)11 names · optionalHER2
biomarker_2_resultstringResult of the second biomarker test5 results · optionalNegative
biomarker_3_namestringName of the third biomarker tested (if applicable)5 names · optionalPR
biomarker_3_resultstringResult of the third biomarker test4 results · optionalPositive
treatment_typestringType of initial treatment administered (e.g., surgery, chemotherapy, radiation, immunotherapy)7 types · optionalSurgery
outcome_statusstringCurrent outcome status of the patient (e.g., alive, deceased, remission, recurrence)Alive · Deceased · Remission · Recurrence · Unknown · optionalRemission
Numbers 3 columns
tumor_size_mmfloatSize of the tumor in millimeters0 or more · optional32.4
number_of_lymph_nodes_examinedintegerNumber of lymph nodes examined for involvement0 or more · optional12
number_of_lymph_nodes_positiveintegerNumber of lymph nodes found positive for metastasis0 or more · optional2
Dates and times 3 columns
treatment_start_datedateDate when initial treatment startedoptional2022-01-14
treatment_end_datedateDate when initial treatment endedoptional2022-02-05
last_followup_datedateDate of last follow-up for the patientoptional2023-10-24
True or false 2 columns
lymph_node_involvementbooleanIndicates whether lymph nodes are involved (true/false)optionaltrue
metastasis_presentbooleanIndicates whether distant metastasis is present (true/false)optionalfalse

Use it for

  • lymph node inv…62%62 of 100 rowsmean number of lymph …2.8chem…0.41Surg…0.06surg…5.6Chem…

    A healthcare dashboard

    The lymph_node_involvement rate, number_of_lymph_nodes_positive by treatment_type and a breakdown of metastasis_sites. Excel, Power BI or Tableau.

  • Why do the 17 Chemotherapy rows have a mean number_of_lymph_nodes_positive of 5.6?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable tumors with patient_id, primary_site and histology_type to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 23 columns, your size and your rules. See 20 rows before you pay.

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This dataset100 rows23 columns
Yours1,000 rows23 columnsprimary_site: UK only

blueprint · cancer-registry-tumor-characteristics

Behind this dataset

Same schema. As many rows as you need.

These 100 rows came out of a blueprint — 23 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Registry ID unique per cancer diagnosis
  • Patient demographics and medical record number
  • Primary site: ICD-O-3 topography code
  • Histology: ICD-O-3 morphology code
  • Behavior: benign, uncertain, in situ, malignant
  • Grade: well, moderately, poorly differentiated, undifferentiated
  • TNM staging: clinical stage and pathologic stage
  • AJCC stage group (I, II, III, IV)
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
cancer-registry-tumor-characteristics

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