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| ID | Type | Description | Link |
|---|---|---|---|
| NCI-2018-01707 | Registry Identifier | CTRP (Clinical Trial Reporting Program) | |
| EAQ161CD | Other Identifier | ECOG-ACRIN Cancer Research Group | |
| ECOG-ACRIN-EAQ161CD | Other Identifier | DCP | |
| EAQ161CD | Other Identifier | CTEP | |
| UG1CA189828 | U.S. NIH Grant/Contract | View source |
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Study closed before patients enrolled
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| Name | Class |
|---|---|
| National Cancer Institute (NCI) | NIH |
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This trial assesses current biomarker testing practices for common solid cancers in precision oncology in the community setting. Cancer biomarkers are used for diagnosing the disease, determining prognosis, predicting response to a targeted therapy, or monitoring response to therapy. Testing quality, including accuracy and timeliness, is imperative for correct disease prognosis and identification of patients who may or may not benefit from a targeted therapy. Assessing current biomarker testing practices may help doctors identify gaps and variations in testing as well as on potential ?best practices? that may be informative and generalizable to community oncology programs.
PRIMARY OBJECTIVES:
I. Determine capacity of pathology practices within National Cancer Institute (NCI) Community Oncology Research Program (NCORP) components/subcomponents for testing guideline-recommended biomarkers, including whether these biomarkers are tested, and how, i.e. what technologies are used and what ordering and testing processes / protocols have been implemented.
II. Determine capacity for testing for novel biomarkers and tumor molecular profiling, i.e. whether these biomarkers are tested and how, i.e. what technologies are used what ordering and testing processes/protocols have been implemented.
III. For findings in Objectives 1 and 2, determine factors influencing the heterogeneity of capacity for biomarker testing, particularly those factors that are modifiable (based on the conceptual framework above), such as cost, complexity, technologic complexity, lack of familiarity, physician and patient demand.
OUTLINE:
Participants complete a self-administered web-based Biomarker Survey and may also complete an Outcome Validation Survey.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Observational (survey) | Participants complete a self-administered web-based Biomarker Survey and may also complete an Outcome Validation Survey. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Survey Administration | Other | Complete surveys |
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| Measure | Description | Time Frame |
|---|---|---|
| Presence of reflexive testing protocols for guideline-recommended biomarkers | Defined as standing protocols that do not require an oncologist order for each of the following: 1) EGFR and ALK testing in lung cancer; 2) KRAS testing in colorectal cancer; 3) BRAF testing in melanoma; and 4) HER2 testing in breast cancer. Will itemize each guideline recommendation and determine whether each pathology practice has reflexive testing protocols through self-report on the assessment. The proportion of pathology practices and exact 95% two-sided confidence intervals with reflexive-testing protocols will be calculated. | Up to 9 months |
| Average turnaround time of no more than 10 business days for combined EGFR and ALK results reporting in lung cancer | The pathology practices will indicate the average number of business days between the day the tumor tissue is available and the day that all the test results are reported to the physician. Pathology practices will be considered meeting guidelines if the average is less than or equal to 10 days. The proportion of pathology practices and exact 95% two-sided confidence intervals with average turnaround time within 10 business days will be calculated. | Up to 9 months |
| Factors influencing heterogeneity of capacity for biomarker testing, from among modifiable testing practice-related factors, e.g. cost, complexity, technologic complexity, lack of familiarity, physician and patient demand | For each biomarker-cancer combination being investigated, univariate and multivariate logistic regression modelling will be performed. There will be variables collected at the oncology component/subcomponent level and variables collected at the pathology practice level. The analysis will be completed at the level of the pathology practice, so characteristics of the oncology component/subcomponent will have to be adapted to that of the pathology practice: repeated for all of pathology practices used by one oncology component/subcomponent, or consolidated for pathology practices that service multiple oncology component/subcomponent. Variables used to assess heterogeneity will be (a) component/subcomponent characteristics: geography (census region), size (number of adult oncology beds), safety-net hospital, minority/underserved National Cancer Institute (NCI) Community Oncology Research Program (NCORP) component/subcomponent, academic hospital, public-ownership type. |
| Measure | Description | Time Frame |
|---|---|---|
| Use of genotyping or broad molecular profiling/next generation tumor sequencing for EGFR and ALK testing in lung cancer | Will determine whether each pathology practice is using genotyping or broad molecular profiling / next-generation tumor sequencing through self reported behavior. The proportion of pathology practices and exact 95% two-sided confidence intervals testing in this manner will be calculated. |
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Inclusion Criteria:
The study population is all onsite pathology practices within NCORP components and subcomponents that provide services to adult oncology groups.
An onsite pathology practice is a laboratory (lab) that is financially administered and operated by an NCORP component or subcomponent. This excludes commercial reference laboratories, such as Quest and LabCorp. To describe biomarker testing practices across NCORP components/subcomponents, we will use the pathology practice as the unit of analysis. Participating components/subcomponents should meet [element A] AND [at least one element of B OR C OR D] AND element E.
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Onsite pathology practices within NCORP components and subcomponents that provide services to adult oncology groups
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| Name | Affiliation | Role |
|---|---|---|
| Julia Trosman | ECOG-ACRIN Cancer Research Group | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Center for Business Models in Healthcare | Chicago | Illinois | 60625 | United States |
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| Up to 9 months |
| Up to 9 months |
| Use of MMR protein expression testing by immunohistochemistry (IHC) or microsatellite instability (MSI) in colorectal cancer | For colorectal cancer, will determine whether each pathology practice is using MMR protein expression testing by IHC or MSI through self-reported behavior. The proportion of pathology practices and exact 95% two-sided confidence intervals testing in this manner will be calculated. | Up to 9 months |
| Capacity to test for cMET or PTEN in lung cancer | Will determine whether each pathology practice has the capacity to test for cMET or PTEN through self-reported behavior. The proportion of pathology practices and exact 95% two-sided confidence intervals with the capacity will be calculated. | Up to 9 months |
| Capacity to test for HRAS, AKT1, PTEN or PIK3CA in colorectal cancer | For colorectal cancer, will determine whether each pathology practice has the capacity to test for HRAS, AKT1, PTEN or PIK3CA through self-reported behavior. The proportion of pathology practices and exact 95% two-sided confidence intervals with the capacity will be calculated. | Up to 9 months |
| Reason for testing novel biomarkers (used for clinical care, clinical trials, or both) | For novel biomarkers, will determine whether each pathology practice tests for novel biomarkers to be used for clinical care, clinical trials, or both through self-reported behavior. The proportion of pathology practices and exact 95% two-sided confidence intervals for each time point will be calculated. | Up to 9 months |
| Number of days between sample availability and report availability for all biomarkers tested | Each pathology practice will report the number of days until all biomarkers tested are completed. The average number of days across all pathology practices and 95% two-sided confidence intervals will be calculated. | Up to 9 months |
| Proportion of pathology practices testing for novel biomarkers using a standard reflexive testing protocol | Will determine whether each pathology practice tests for novel biomarkers using a standard reflexive testing protocol through self-reported behavior. The proportion of pathology practices and exact 95% two-sided confidence intervals for each characteristic will be calculated. | Up to 9 months |
| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| D015179 | Colorectal Neoplasms |
| D008175 | Lung Neoplasms |
| D008545 | Melanoma |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D018358 | Neuroendocrine Tumors |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009380 | Neoplasms, Nerve Tissue |
| D018326 | Nevi and Melanomas |
| D012878 | Skin Neoplasms |
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