HTAN Clinical Data

Numeric count of sentinel lymph nodes.

The indicator to determine extranodal involvement or extent of the disease.

A description of the location on or within the human body where the surgical biopsy/resection procedure was performed (Not covered under HTAN Clinical Data Tier 1)

Text term used to describe the mode of cancer detection, like standard of care screening or random detection

The indicator that describes whether or not a COVID-19 infectious disorder occurred.

The indicator that describes whether or not there was a COVID-19 positive test result.

Text term that retrospectively indicates the worst complications during COVID-19 infectious disorder in the patient.

Use of non-traditional cigarette nicotine delivery device (electronic cigarette, ENDS - electronic nicotine delivery system)

e-cig frequency of use (times per day—one “time” consists of around 15 puffs or lasts around 10 minutes)

The quantity of daily use of tobacco, in the form of a plug, usually flavored, for chewing rather than smoking.

The response indicates whether the family member of the patient with a history of cancer is alive. (Extension to GDC attributes in Family History Tier 1)

History of presence of inherited genetic predisposition syndrome that confers heightened susceptibility to cancer in the patient.

Label to identify the time point at which the clinical data or biospecimen was obtained (e.g. Baseline, End of Treatment, Overall survival, Final). NO PHI/PII INFORMATION IS ALLOWED.

Mutational signatures identified in the patient, includes signatures linked to selected exogenous carcinogens, endogenous and enzymatic modification of DNA or defective DNA repair. Note: Include only outputs of tests that were completed clinically for the participant and only include data from a diagnostic array that was completed prior to research sequencing was done.

Laboratory tests used to evaluate the status of mismatch repair pathways

The indicator that describes whether or not immunosuppressive therapy was administered.

Highest level of education that the patient completed (direct patient-derived information)

Areas or populations designated by HRSA as having too few primary care providers, high infant mortality, high poverty or a high elderly population: Use patient zip code to find the county the patient lives in by going to https://www.unitedstateszipcodes.org/ - enter the zip code in the main text field and use the associated county on the right side of the result field. Go to data.hrsa.gov website and select "Query Data". Pick the Medically Underserved Areas/Populations (MUA/P) data source in the step 1 menu and select "View Data". Enter the name of the county (_______ county) in the first "Service Area" column, adding the state in the 5th column may help direct you to the data. If the designation type in the third column is "medically underserved area" enter "Yes" as the value. If the county generates a "No data available in table" enter "No" as the value. A value of "Unknown" indicates that sufficient data was not available to look up the value. If value is yes, complete the Medically_underserved_score data element.

Incidence of specific cancer type in a defined area (a number between 0 and 100). The rate of incident cases per population of 100,000 persons of a specific type of cancer as designated in the "primary_diagnosis" data element in the county where the patient resides, using the most recent 2013-2017 NCI Cancer Atlas derived data. Use patient zip code to find the county the patient lives in by going to https://www.unitedstateszipcodes.org/. Enter the zip code in the main text field and use the asociated county on the right side of the result field. On the https://gis.cancer.gov/canceratlas/tableview/ website, choose "Incidence" from the Topic dropdown menu, state of interest from the Area menu, "All Races" from the Race menu, and the cancer type ("Both Sexes" when possible) from the Statistic menu. Find the county of interest and enter the numeric Age-Adjusted Rate per 100,000 as the value.

Patient's zip code is in a medically underserved area

Insufficient data to look up the Medically Underserved Area value