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Genomics England - Cancer

Population Size

Not reported
Population Size statistic card

Years

2014 - 2019

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

Not reported
Geographic coverage statistic card

Lead time

2-6 months

Lead time statistic card

Summary

Cancer data are presented for either the patient-level cancer diagnosis or “disease type” or the tumour-specific sample details of participants in the Cancer arm of the 100,000 Genomes Project.

Documentation

Cancer data are presented for either the patient level cancer diagnosis or “disease type” or the tumour specific sample details of participants in the Cancer arm of the 100,000 Genomes Project.

Data Relating to Cancer Participants:

cancer_participant_disease

For each cancer participant in the 100,000 Genomes Project, this table includes data about their cancer disease type and subtype.

cancer_participant_tumour

For each cancer participant’s tumour in the 100,000 Genomes Project, this table contains data that characterises the tumour, e.g. staging and grading; morphology and location; recurrence at time of enrolment; and the basis of diagnosis.

cancerparticipant_tumour metastatic_site

For each cancer participant in the 100,000 Genomes Project, this table contains the site of their metastatic disease in the body (if applicable) at diagnosis.

cancer_care_plan

For a proportion of cancer participants in the 100,000 Genomes Project, this table contains information from their NHS cancer care plan on their treatment and care intent, in particular outcomes of MDT meetings and coded connected data (e.g. diagnoses from scans).

cancer_surgery

For a proportion of cancer participants in the 100,000 Genomes Project, this table contains details of what surgical procedures were had, as well as the specific location of the intervention.

cancer_risk_factor_general

For a proportion of cancer participants in the 100,000 Genomes Project, this table contains data on general cancer risk factors, namely smoking status, height, weight and alcohol consumption. This table was compiled with input from GeCIP members.

cancer_risk_factor_cancer_specific:

For a proportion of cancer participants in the 100,000 Genomes Project, this table contains data on specific risk factors related to particular cancer types. This table was compiled with input from GeCIP members.

cancer_invest_imaging:

For a proportion of cancer participants in the 100,000 Genomes Project, this table contains: coded data on imaging investigations characterising the scan, its modality, anatomical site and outcome; as well as the outcome of the imaging report in free text form.

Data derived from or relating to tumour samples:

cancer_invest_sample_pathology:

For a proportion of cancer participants in the 100,000 Genomes Project, this table contains full pathology reports and other related data on and from their tumour samples around diagnosis and characterisation of the cancer. Please note that much of this information is also found in the clinic_sample and cancer_participant_tumour tables.

cancer_specific_pathology:

For a proportion tumours from cancer participants in the 100,000 Genomes Project, this table contains pathology data specific to that participant’s cancer type. This may provide additional data to the cancer_invest_sample_pathology and cancer_participant_tumour tables.

cancer_systemic_anti_cancer_therapy:

For a proportion tumour

Dataset type

Health and disease

Dataset sub-type

Not applicable

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

Cancer Tumour - Number of genomes

Not reported

Count

01 Jan 1970

Persons

Rare Disease Participants

Not reported

Count

01 Jan 1970

Persons

Cancer Germline - Number of genomes

Not reported

Count

01 Jan 1970

Persons

Cancer Participants

Not reported

Count

01 Jan 1970

Persons

Rare Disease - Number of genomes

Not reported

Count

01 Jan 1970

Provenance

Patient pathway description

Linked datasets cover secondary care.

Image contrast

Not stated

Biological sample availability

None/not available

Structural Metadata

Details

Publishing frequency

Quarterly

Version

17.0.0

Modified

08/10/2024

Distribution release date

30/03/2023

Citation Requirements

The 100;,;000 Genomes Project Protocol v3;,;Genomics England. doi:10.6084/m9.figshare.4530893.v3. 2017. Publications that use the Genomics England Database should include an author as: Genomics England Research Consortium. Please see publication policy.

Coverage

Start date

01/01/2014

End date

01/01/2019

Time lag

2-6 months

Maximum age range

150

Follow-up

Other

Accessibility

Language

en

Controlled vocabulary

READ, OTHER, SNOMED CT, HPO, NHS NATIONAL CODES, ICD10, OPCS4, ODS

Format

Multiple Formats Available

Data Access Request

Dataset pipeline status

Not available

Time to dataset access

2-6 months

Access request cost

Fees will be dependent on the type of access that is necessary. Raw data is not eligible for export. Summary-level data may be exported provided that it is approved through the Genomics England Airlock Process

Access service description

More information about the Genomics England Research Environment can be found here: https://www.genomicsengland.co.uk/about-genomics-england/research-environment/ https://research-help.genomicsengland.co.uk/display/GERE/1.+The+Genomics+England+Research+Environment Genomics England 100k participants have consented to longitudinal lifetime followup and recontact safely through our clinical network. BRST (Bioinformatics Research Services) are a team of bioinformatics who know the dataset inside out and provide consultancy projects on a case by case basis. Our network of clinical and medical experts can be made available on case by case basis. Researchers have the opportunity to work with our and access the GeCIP network who are a community of world-leading experts in specific cancers and rare diseases.

Jurisdiction

GB-GBN

Data Controller

GENOMICS ENGLAND

Data Processor

GENOMICS ENGLAND

Dataset Types: Health and disease


Collection Sources:

Relationships:

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