| Literature DB >> 34834546 |
Tia L Kauffman1, Yolanda K Prado1, Ana A Reyes1, Jamilyn M Zepp1, Jennifer Sawyer2, Larissa Lee White2, Jessica Martucci3, Suzanne Bianca Salas4, Sarah Vertrees1, Alan F Rope1,5, Sheila Weinmann1, Nora B Henrikson6, Sandra Soo-Jin Lee7, Heather Spencer Feigelson2, Jessica Ezzell Hunter1,8.
Abstract
Guidelines currently state that genetic testing is clinically indicated for all individuals diagnosed with ovarian cancer. Individuals with a prior diagnosis of ovarian cancer who have not received genetic testing represent missed opportunities to identify individuals with inherited high-risk cancer variants. For deceased individuals, post-mortem genetic testing of pathology specimens allows surviving family members to receive important genetic risk information. The Genetic Risk Assessment in Ovarian Cancer (GRACE) study aims to address this significant healthcare gap using a "traceback testing" approach to identify individuals with a prior diagnosis of ovarian cancer and offer genetic risk information to them and their family members. This study will assess the potential ethical and privacy concerns related to an ovarian cancer traceback testing approach in the context of patients who are deceased, followed by implementation and evaluation of the feasibility of an ovarian cancer traceback testing approach using tumor registries and archived pathology tissue. Descriptive and statistical analyses will assess health system and patient characteristics associated with the availability of pathology tissue and compare the ability to contact and uptake of genetic testing between patients who are living and deceased. The results of this study will inform the implementation of future traceback programs.Entities:
Keywords: cascade testing; hereditary breast; ovarian cancer; pathology; post-mortem genetic testing; traceback testing
Year: 2021 PMID: 34834546 PMCID: PMC8625870 DOI: 10.3390/jpm11111194
Source DB: PubMed Journal: J Pers Med ISSN: 2075-4426
Genetic Risk Assessment in Ovarian Cancer (GRACE) inclusion and exclusion criteria.
| Study Participants | |
|---|---|
| Inclusion Criteria | Exclusion Criteria |
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Female sex in EHR. One of the following ICD-O codes documented between 2008 and 2019: C481 Peritoneum, specified parts; C482 Peritoneum, NOS; C569 Ovary; C570 Fallopian tube. No evidence of prior genetic testing in the EHR or prior genetic testing for Must have available pathology tissue at a KPNW or KPCO affiliated hospital from resection/excision or have a biobanked sample if the patient is too sick to provide consent, in hospice care, or deceased or be living and able to submit a saliva sample. Age 18 years or older. Patient needs to be a KPNW or KPCO member at the time of ovarian cancer diagnosis. The patient does not need to be a current KPNW or KPCO member. Available personal representative to provide consent for testing of the patient’s pathology tissue or biobanked sample if the patient is too sick to provide consent or in hospice care or deceased. |
Prior diagnosis of a hereditary cancer syndrome. Not a KPNW or KPCO member at the time of diagnosis. Unable to consent in English (KPCO only). Unable to provide informed consent. Opted out of research activities. |
| Cascade testing | |
| Inclusion criteria | Exclusion criteria |
|
First or second degree relative of a study participant with a pathogenic or likely pathogenic variant. Age 18 years or older at the time they are approached for testing. |
Known carrier of the same variant identified in the patient. Unable to consent in English (KPCO only). |
Figure 1Genetic Risk Assessment in Ovarian Cancer (GRACE) study flow.
GRACE gene list.
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Figure 2GRACE cascade testing flow.
Interview domains.
| Topics | Domains |
|---|---|
| Background knowledge and baseline opinions |
Culture/kinship ties, practices, and beliefs about hereditary disease risk. Genetic literacy. Perceived risks and benefits of genetic testing. Decision-making process. |
| Participant’s experience in the study |
Response to method of contact. Preferences for communication of familial risk. Decision-making process. Perceived risks and benefits of genetic testing. Preferences for communication of personal risk. |
Feasibility metrics.
| Accuracy of tumor registries and pathology reports to identify patients with a correct diagnosis |
| Number of deceased patients with contact information for next of kin in EHR |
| Success rate to locate patients or contact next of kin for deceased patients |
| Uptake of genetic testing among contacted patients or next of kin |
| Availability of archived pathology specimens for germline genetic testing |
| Uptake of cascade testing among at-risk relatives |