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Rodriguez NJ, Furniss CS, Yurgelun MB, Ukaegbu C, Constantinou PE, Fortes I, Caruso A, Schwartz AN, Stopfer JE, Underhill-Blazey M, Kenner B, Nelson SH, Okumura S, Zhou AY, Coffin TB, Uno H, Horiguchi M, Ocean AJ, McAllister F, Lowy AM, Klein AP, Madlensky L, Petersen GM, Garber JE, Lippman SM, Goggins MG, Maitra A, Syngal S. A Randomized Trial of Two Remote Health Care Delivery Models on the Uptake of Genetic Testing and Impact on Patient-Reported Psychological Outcomes in Families With Pancreatic Cancer: The Genetic Education, Risk Assessment, and Testing (GENERATE) Study. Gastroenterology 2024; 166:872-885.e2. [PMID: 38320723 PMCID: PMC11034726 DOI: 10.1053/j.gastro.2024.01.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 01/22/2024] [Accepted: 01/29/2024] [Indexed: 02/15/2024]
Abstract
BACKGROUND & AIMS Genetic testing uptake for cancer susceptibility in family members of patients with cancer is suboptimal. Among relatives of patients with pancreatic ductal adenocarcinoma (PDAC), The GENetic Education, Risk Assessment, and TEsting (GENERATE) study evaluated 2 online genetic education/testing delivery models and their impact on patient-reported psychological outcomes. METHODS Eligible participants had ≥1 first-degree relative with PDAC, or ≥1 first-/second-degree relative with PDAC with a known pathogenic germline variant in 1 of 13 PDAC predisposition genes. Participants were randomized by family, between May 8, 2019, and June 1, 2021. Arm 1 participants underwent a remote interactive telemedicine session and online genetic education. Arm 2 participants were offered online genetic education only. All participants were offered germline testing. The primary outcome was genetic testing uptake, compared by permutation tests and mixed-effects logistic regression models. We hypothesized that Arm 1 participants would have a higher genetic testing uptake than Arm 2. Validated surveys were administered to assess patient-reported anxiety, depression, and cancer worry at baseline and 3 months postintervention. RESULTS A total of 424 families were randomized, including 601 participants (n = 296 Arm 1; n = 305 Arm 2), 90% of whom completed genetic testing (Arm 1 [87%]; Arm 2 [93%], P = .014). Arm 1 participants were significantly less likely to complete genetic testing compared with Arm 2 participants (adjusted ratio [Arm1/Arm2] 0.90, 95% confidence interval 0.78-0.98). Among participants who completed patient-reported psychological outcomes questionnaires (Arm 1 [n = 194]; Arm 2 [n = 206]), the intervention did not affect mean anxiety, depression, or cancer worry scores. CONCLUSIONS Remote genetic education and testing can be a successful and complementary option for delivering genetics care. (Clinicaltrials.gov, number NCT03762590).
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Affiliation(s)
- Nicolette J Rodriguez
- Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Brigham and Women's Hospital, Boston, Massachusetts
| | - C Sloane Furniss
- Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Matthew B Yurgelun
- Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Brigham and Women's Hospital, Boston, Massachusetts
| | - Chinedu Ukaegbu
- Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Pamela E Constantinou
- Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas, MD Anderson Cancer Center, Houston, Texas
| | | | | | | | | | | | | | - Scott H Nelson
- Pancreatic Cancer Action Network Volunteer, Patient Advocate, and Pancreatic Cancer Survivor
| | | | | | - Tara B Coffin
- WIRB-Copernicus Group Institutional Review Board, Puyallup, Washington
| | - Hajime Uno
- Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Miki Horiguchi
- Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | | | - Florencia McAllister
- Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Andrew M Lowy
- Moores Cancer Center, UC San Diego, San Diego, California
| | - Alison P Klein
- Johns Hopkins University, Sol Goldman Pancreatic Cancer Research Center, Baltimore, Maryland
| | - Lisa Madlensky
- Moores Cancer Center, UC San Diego, San Diego, California
| | | | - Judy E Garber
- Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Michael G Goggins
- Johns Hopkins University, Sol Goldman Pancreatic Cancer Research Center, Baltimore, Maryland
| | - Anirban Maitra
- Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Sapna Syngal
- Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Brigham and Women's Hospital, Boston, Massachusetts.
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Rodriguez NJ, Furniss CS, Yurgelun MB, Ukaegbu C, Constantinou PE, Fortes I, Caruso A, Schwartz AN, Stopfer JE, Underhill-Blazey M, Kenner B, Nelson SH, Okumura S, Zhou AY, Coffin TB, Uno H, Horiguchi M, Ocean AJ, McAllister F, Lowy AM, Lippman SM, Klein AP, Madlensky L, Petersen GM, Garber JE, Goggins MG, Maitra A, Syngal S. Abstract A029: A randomized study of two Strategies of remote Genetic Education, Risk Assessment, and Testing (GENERATE) for family members of patients with pancreatic cancer. Cancer Res 2022. [DOI: 10.1158/1538-7445.panca22-a029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Abstract
Background: Uptake of genetic testing for cancer susceptibility in family members of cancer patients is suboptimal. The GENetic Education, Risk Assessment, and TEsting (GENERATE) study evaluated two strategies of remote genetic education and testing in relatives of pancreatic ductal adenocarcinoma (PDAC) patients. Methods: Eligible participants had: a first-degree relative with PDAC or had a known pathogenic germline variant (PGV) in one of thirteen PDAC predisposition genes (APC, ATM, BRCA1, BRCA2, CDKN2A, EPCAM, MLH1, MSH2, MSH6, PALB2, PMS2, STK11, or TP53) and a first- or second-degree relative with PDAC. Participants were cluster-randomized by family into one of two arms. Arm 1 included an interactive telemedicine session with a genetic counselor, followed by genetic testing at a commercial laboratory. Arm 2 involved remote online genetic education and testing at the commercial laboratory without the interactive session. The primary outcome was uptake of genetic testing across study arms, which was compared by permutation tests and mixed-effects logistic regression models. Results: Between 5/8/2019 and 6/1/2021, 424 families were randomized, including 601 participants (n=296 Arm 1; n=305 Arm 2). The uptake of genetic testing was 87% (257/296) in Arm 1 and 93% (284/305) in Arm 2 (p=0.014). Participants in Arm 1 were significantly less likely to obtain genetic testing compared to Arm 2 (Adjusted ratio [Arm1/Arm2] 0.90, 95% confidence interval 0.78-0.98). BRCA2, ATM, CDKN2A and PALB2 were the most common PDAC susceptibility genes in which PGVs were identified. Conclusions: Remote methods of genetic education and testing are successful alternatives to traditional germline susceptibility testing.
Citation Format: Nicolette J. Rodriguez, C. Sloane Furniss, Matthew B. Yurgelun, Chinedu Ukaegbu, Pamela E. Constantinou, Ileana Fortes, Alyson Caruso, Alison N. Schwartz, Jill E. Stopfer, Meghan Underhill-Blazey, Barbara Kenner, Scott H. Nelson, Sydney Okumura, Alicia Y. Zhou, Tara B. Coffin, Hajime Uno, Miki Horiguchi, Allyson J. Ocean, Florencia McAllister, Andrew M. Lowy, Scott M. Lippman, Alison P. Klein, Lisa Madlensky, Gloria M. Petersen, Judy E. Garber, Michael G. Goggins, Anirban Maitra, Sapna Syngal. A randomized study of two Strategies of remote Genetic Education, Risk Assessment, and Testing (GENERATE) for family members of patients with pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr A029.
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Affiliation(s)
- Nicolette J. Rodriguez
- 1Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA,
| | | | - Matthew B. Yurgelun
- 3Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,
| | | | - Pamela E. Constantinou
- 5Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas MD Anderson Cancer Center, Houston, TX,
| | | | | | | | | | | | | | | | | | | | | | - Hajime Uno
- 2Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA,
| | - Miki Horiguchi
- 2Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA,
| | | | - Florencia McAllister
- 5Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas MD Anderson Cancer Center, Houston, TX,
| | | | | | - Alison P. Klein
- 13Johns Hopkins University Sol Goldman Pancreatic Cancer Research Center, Baltimore, MD,
| | | | | | - Judy E. Garber
- 3Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,
| | - Michael G. Goggins
- 13Johns Hopkins University Sol Goldman Pancreatic Cancer Research Center, Baltimore, MD,
| | - Anirban Maitra
- 5Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas MD Anderson Cancer Center, Houston, TX,
| | - Sapna Syngal
- 3Dana-Farber Cancer Institute, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,
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Zhao YQ, Chari ST, Maitra A, Matrisian LM, Shrader EE, Wu BU, Kambadakone A, Kenner B, Rinaudo JAS, Srivastava S, Huang Y, Feng Z. Abstract A028: The Early Detection Initiative trial version 2: A platform trial to test novel approaches to pancreatic cancer screening in patients with new onset hyperglycemia and diabetes. Cancer Res 2022. [DOI: 10.1158/1538-7445.panca22-a028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Abstract
The Early Detection Initiative (EDI) is an innovative study designed to build a platform that will evaluate novel approaches to early detection of resectable pancreatic ductal adenocarcinoma (PDAC) in patients over age 50 with new onset hyperglycemia and diabetes (NOD). This randomized controlled trial (RCT) of algorithm-based screening for PDAC uses a modified Zelen’s design with post-randomization consent. Eligible subjects are identified through electronic medical record (EMR) surveillance and randomized 1:1 to the Observation or Intervention Arm. The Enriching New-onset Diabetes for Pancreatic Cancer (ENDPAC) score, an algorithm that further risk stratifies NOD based on age and changes in weight and glycemic parameters, is calculated in the Intervention Arm. Consenting subjects with ENDPAC >0 have Computerized Tomography (CT) scan imaging for PDAC detection; potential harm, including over-diagnosis, is also estimated. At the time of abstract submission >2000 individuals have been randomized and >50 subjects consented for CT imaging. EDI version 2 adds several innovations in response to challenges encountered and experience gained so far. Most significantly, EDI v2 has a platform design with a common control arm and allows for multiple intervention arms. This opens the door for evaluating future new biomarkers for PDAC early detection in a high–risk NOD population, including new blood-based biomarkers for the early detection of cancer that are now commercially available. EDI v2 focuses primarily on co-efficacy endpoints (PDAC stage shift in ENDPAC >0 group, and in all patients, excluding non-consented patients); effectiveness evaluation becomes a secondary objective. This addresses the challenges of low consent rate (~25%) due to lack of awareness of connection between NOD and PDAC and low acceptance for a novel research screening modality. The analyses of primary endpoints were adjusted to accommodate potential over-diagnosis due to screening and imbalance between ENDPAC >0 and ENDPAC ≤0 groups due to low consent rate and likely imperfect enrichment by ENDPAC, when evaluating all patients. Electronic eligibility checks and consent shorten the recruitment time, a critical factor for stage shift due to rapid progression of PDAC. A pre-randomization screening pilot study is planned to enhance the post-randomization consent rate. Intervention to Control randomization ratio is changed to 2:1, allowing more rapid recruitment and, when factoring the consent rate, doubling the sample size of the observation arm. Through these innovations, EDI v2 maintains the full advantage of Zelen’s design that made the trial feasible in sample size and cost. Simulation studies demonstrate that our approach correctly controls the type-1 error and the trial has adequate statistical power. The EDI trial represents an innovative and contemporary approach to developing and refining an early detection strategy for pancreatic cancer.
Citation Format: Ying-Qi Zhao, Suresh T. Chari, Anirban Maitra, Lynn M. Matrisian, Eva E. Shrader, Bechien U. Wu, Avinash Kambadakone, Barbara Kenner, Jo Ann S. Rinaudo, Sudhir Srivastava, Ying Huang, Ziding Feng. The Early Detection Initiative trial version 2: A platform trial to test novel approaches to pancreatic cancer screening in patients with new onset hyperglycemia and diabetes [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr A028.
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Affiliation(s)
| | - Suresh T. Chari
- 2University of Texas M.D. Anderson Cancer Center, Houston, TX,
| | - Anirban Maitra
- 2University of Texas M.D. Anderson Cancer Center, Houston, TX,
| | | | | | - Bechien U. Wu
- 4Kaiser Permanente Southern California, Los Angeles, CA,
| | | | | | - Jo Ann S. Rinaudo
- 7Division of Cancer Prevention, National Cancer Institute, Bethesda, MD
| | - Sudhir Srivastava
- 7Division of Cancer Prevention, National Cancer Institute, Bethesda, MD
| | - Ying Huang
- 1Fred Hutchinson Cancer Center, Seattle, WA,
| | - Ziding Feng
- 1Fred Hutchinson Cancer Center, Seattle, WA,
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Chari ST, Maitra A, Matrisian LM, Shrader EE, Wu BU, Kambadakone A, Zhao YQ, Kenner B, Rinaudo JAS, Srivastava S, Huang Y, Feng Z. Early Detection Initiative: A randomized controlled trial of algorithm-based screening in patients with new onset hyperglycemia and diabetes for early detection of pancreatic ductal adenocarcinoma. Contemp Clin Trials 2022; 113:106659. [PMID: 34954100 PMCID: PMC8844106 DOI: 10.1016/j.cct.2021.106659] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 11/24/2021] [Accepted: 12/18/2021] [Indexed: 02/03/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is the only leading cause of cancer death without an early detection strategy. In retrospective studies, 0.5-1% of subjects >50 years of age who newly develop biochemically-defined diabetes have been diagnosed with PDAC within 3 years of meeting new onset hyperglycemia and diabetes (NOD) criteria. The Enriching New-onset Diabetes for Pancreatic Cancer (ENDPAC) algorithm further risk stratifies NOD subjects based on age and changes in weight and diabetes parameters. We present the methodology for the Early Detection Initiative (EDI), a randomized controlled trial of algorithm-based screening in patients with NOD for early detection of PDAC. We hypothesize that study interventions (risk stratification with ENDPAC and imaging with Computerized Tomography (CT) scan) in NOD will identify earlier stage PDAC. EDI uses a modified Zelen's design with post-randomization consent. Eligible subjects will be identified through passive surveillance of electronic medical records and eligible study participants randomized 1:1 to the Intervention or Observation arm. The sample size is 12,500 subjects. The ENDPAC score will be calculated only in those randomized to the Intervention arm, with 50% (n = 3125) expected to have a high ENDPAC score. Consenting subjects in the high ENDPAC group will undergo CT imaging for PDAC detection and an estimate of potential harm. The effectiveness and efficacy evaluation will compare proportions of late stage PDAC between Intervention and Observation arm per randomization assignment or per protocol, respectively, with a planned interim analysis. The study is designed to improve the detection of sporadic PDAC when surgical intervention is possible.
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Affiliation(s)
| | - Anirban Maitra
- University of Texas M.D. Anderson Cancer Center, Houston TX
| | | | | | - Bechien U. Wu
- Kaiser Permanente Southern California, Los Angeles CA
| | | | - Ying-Qi Zhao
- Fred Hutchinson Cancer Research Center, Seattle WA
| | | | - Jo Ann S. Rinaudo
- Division of Cancer Prevention, National Cancer Institute, Bethesda MD
| | - Sudhir Srivastava
- Division of Cancer Prevention, National Cancer Institute, Bethesda MD
| | - Ying Huang
- Fred Hutchinson Cancer Research Center, Seattle WA
| | - Ziding Feng
- Fred Hutchinson Cancer Research Center, Seattle WA
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Rodriguez NJ, Furniss CS, Yurgelun MB, Ukaegbu C, Constantinou PE, Schwartz AN, Stopfer J, Underhill-Blazey M, Kenner B, Nelson S, Okumura S, Law S, Zhou AY, Coffin TB, Uno H, Ocean A, McAllister F, Lowy AM, Lippman SM, Klein AP, Madlensky L, Petersen GM, Garber JE, Goggins MG, Maitra A, Syngal S. Abstract PO-013: Comparison of novel healthcare delivery models on the uptake of genetic education and testing in families with a history of pancreatic cancer: The GENetic Education, Risk Assessment and TEsting (GENERATE) study. Cancer Res 2021. [DOI: 10.1158/1538-7445.panca21-po-013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Roughly 7–10% of patients with pancreatic ductal adenocarcinoma (PDAC) have a deleterious germline variant. Although identification of germline variants in family members has implications for cancer surveillance and can lead to early cancer detection and interception for PDAC, as well as other cancers, cascade genetic testing rates are low. The GENetic Education, Risk Assessment and TEsting (GENERATE) study evaluates novel methods of providing genetic education and testing for individuals at risk for hereditary PDAC. Methods: Eligible participants had: (1) a first- or second-degree relative with a diagnosis of PDAC and a known familial germline variant in APC, ATM, BRCA1, BRCA2, CDKN2A, EPCAM, MLH1, MSH2, MSH6, PALB2, PMS2, STK11, or TP53 (Known Familial Mutation (KFM)), (2) or were first-degree relatives of PDAC patients (no KFM). Participants were recruited through six academic centers, patient advocacy organizations and online outreach. Enrollment occurred through the study website (www.GENERATEstudy.org). All study participation, including genetic testing via a at home saliva sample kit, was done remotely. Participants were cluster randomized at the family level into one of two arms. Arm 1 (Doxy.me plus Color Genomics) included remote genetic education and testing through a video-based telemedicine platform (Doxy.me) and physician-mediated testing through Color Genomics. Arm 2 included remote genetic education and testing through Color Genomics only. Results: Between 5/8/2019–6/01/2021, 423 families were randomized, comprising 595 participants. Recruitment occurred through patient invitation via healthcare providers (n=128, 21.5%), family members (n=271, 45.5%), friends, advocacy groups, and online outreach (n=223, 37.5%). Participants were referred from the six GENERATE academic centers (n=270, 45.4%) and other institutions (n=325, 54.6%). Study participants were 52.5 years on average, primarily identified as White (n=577, 97%) and from the Northeast (n=184, 30.9%), Midwest (n=154, 25.9%), South (n=158, 26.6%) and West (n=99, 16.6%). Participants were randomized into each arm (n=296 Doxy.me plus Color Genomics; n=299 Color Genomics only). To date, 527 (88.6%) participants have ordered genetic testing. The uptake of genetic testing was 253/296 (85.5%) in the Doxy.me plus Color Genomics arm and 274/299 (91.6%) in the Color Genomics only arm (p=0.049, generalized mixed-effects model). A total of 82 PDAC associated pathogenic variants were identified. The most frequently detected variants were BRCA2 (n=32), ATM (n=25) and PALB2 (n=6). Additionally, 13 non-PDAC associated pathogenic variants and 20 low penetrance variants were detected. Conclusions: Remote methods of genetic education and testing are successful alternatives to traditional cascade testing, with genetic testing rates nearly 90%. Participant follow up will assess if satisfaction with decision making, cancer-risk distress, knowledge gained, family communication, and uptake of surveillance were impacted by the mode of delivery of pre-test genetic education.
Citation Format: Nicolette J. Rodriguez, Constance S. Furniss, Matthew B. Yurgelun, Chinedu Ukaegbu, Pamela E. Constantinou, Alison N. Schwartz, Jill Stopfer, Meghan Underhill-Blazey, Barbara Kenner, Scott Nelson, Sydney Okumura, Sherman Law, Alicia Y. Zhou, Tara B. Coffin, Hajime Uno, Allyson Ocean, Florencia McAllister, Andrew M. Lowy, Scott M. Lippman, Alison P. Klein, Lisa Madlensky, Gloria M. Petersen, Judy E. Garber, Michael G. Goggins, Anirban Maitra, Sapna Syngal. Comparison of novel healthcare delivery models on the uptake of genetic education and testing in families with a history of pancreatic cancer: The GENetic Education, Risk Assessment and TEsting (GENERATE) study [abstract]. In: Proceedings of the AACR Virtual Special Conference on Pancreatic Cancer; 2021 Sep 29-30. Philadelphia (PA): AACR; Cancer Res 2021;81(22 Suppl):Abstract nr PO-013.
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Affiliation(s)
- Nicolette J. Rodriguez
- 1Dana-Farber Cancer Institute/Brigham and Women's Hospital/Harvard Medical School, Boston, MA,
| | | | - Matthew B. Yurgelun
- 3Dana-Farber Cancer Institute/Brigham and Women’s Hospital/Harvard Medical School, Boston, MA,
| | | | - Pamela E. Constantinou
- 5Sheikh Ahmed Center for Pancreatic Cancer Research/University of Texas MD Anderson Cancer Center, Houston, TX,
| | | | | | | | | | - Scott Nelson
- 8Pancreatic Cancer Action Network Volunteer, Manhattan Beach, CA,
| | | | | | | | | | - Hajime Uno
- 2Dana-Farber Cancer Institute/Harvard Medical School, Boston, MA,
| | | | - Florencia McAllister
- 5Sheikh Ahmed Center for Pancreatic Cancer Research/University of Texas MD Anderson Cancer Center, Houston, TX,
| | | | | | - Alison P. Klein
- 13Johns Hopkins University/Sol Goldman Pancreatic Cancer Research Center, Baltimore, MD,
| | | | | | - Judy E. Garber
- 1Dana-Farber Cancer Institute/Brigham and Women's Hospital/Harvard Medical School, Boston, MA,
| | - Michael G. Goggins
- 13Johns Hopkins University/Sol Goldman Pancreatic Cancer Research Center, Baltimore, MD,
| | - Anirban Maitra
- 5Sheikh Ahmed Center for Pancreatic Cancer Research/University of Texas MD Anderson Cancer Center, Houston, TX,
| | - Sapna Syngal
- 3Dana-Farber Cancer Institute/Brigham and Women’s Hospital/Harvard Medical School, Boston, MA,
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Furniss CS, Yurgelun MB, Ukaegbu C, Constantinou PE, Lafferty CC, Talcove-Berko ER, Schwartz AN, Stopfer JE, Underhill-Blazey M, Kenner B, Nelson SH, Okumura S, Law S, Zhou AY, Coffin TB, Rodriguez NJ, Uno H, Ocean AJ, McAllister F, Lowy AM, Lippman SM, Klein AP, Madlensky L, Petersen GM, Garber JE, Goggins MG, Maitra A, Syngal S. Novel Models of Genetic Education and Testing for Pancreatic Cancer Interception: Preliminary Results from the GENERATE Study. Cancer Prev Res (Phila) 2021; 14:1021-1032. [PMID: 34625409 PMCID: PMC8563400 DOI: 10.1158/1940-6207.capr-20-0642] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 04/20/2021] [Accepted: 07/09/2021] [Indexed: 12/13/2022]
Abstract
Up to 10% of patients with pancreatic ductal adenocarcinoma (PDAC) carry underlying germline pathogenic variants in cancer susceptibility genes. The GENetic Education Risk Assessment and TEsting (GENERATE) study aimed to evaluate novel methods of genetic education and testing in relatives of patients with PDAC. Eligible individuals had a family history of PDAC and a relative with a germline pathogenic variant in APC, ATM, BRCA1, BRCA2, CDKN2A, EPCAM, MLH1, MSH2, MSH6, PALB2, PMS2, STK11, or TP53 genes. Participants were recruited at six academic cancer centers and through social media campaigns and patient advocacy efforts. Enrollment occurred via the study website (https://GENERATEstudy.org) and all participation, including collecting a saliva sample for genetic testing, could be done from home. Participants were randomized to one of two remote methods that delivered genetic education about the risks of inherited PDAC and strategies for surveillance. The primary outcome of the study was uptake of genetic testing. From 5/8/2019 to 5/6/2020, 49 participants were randomized to each of the intervention arms. Overall, 90 of 98 (92%) of randomized participants completed genetic testing. The most frequently detected pathogenic variants included those in BRCA2 (N = 15, 17%), ATM (N = 11, 12%), and CDKN2A (N = 4, 4%). Participation in the study remained steady throughout the onset of the Coronavirus disease (COVID-19) pandemic. Preliminary data from the GENERATE study indicate success of remote alternatives to traditional cascade testing, with genetic testing rates over 90% and a high rate of identification of germline pathogenic variant carriers who would be ideal candidates for PDAC interception approaches. PREVENTION RELEVANCE: Preliminary data from the GENERATE study indicate success of remote alternatives for pancreatic cancer genetic testing and education, with genetic testing uptake rates over 90% and a high rate of identification of germline pathogenic variant carriers who would be ideal candidates for pancreatic cancer interception.
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Affiliation(s)
- C Sloane Furniss
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Matthew B Yurgelun
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Pamela E Constantinou
- Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas, MD Anderson Cancer Center, Houston, Texas
| | | | | | | | | | | | | | - Scott H Nelson
- Pancreatic Cancer Action Network Volunteer, Patient Advocate, and Pancreatic Cancer Survivor, St. Anthony, Minnesota
| | | | | | | | | | - Nicolette J Rodriguez
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Brigham and Women's Hospital, Boston, Massachusetts
| | - Hajime Uno
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | | | - Florencia McAllister
- Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Andrew M Lowy
- Moores Cancer Center, UC San Diego, San Diego, California
| | | | - Alison P Klein
- Johns Hopkins University, Sol Goldman Pancreatic Cancer Research Center, Baltimore, Maryland
| | - Lisa Madlensky
- Moores Cancer Center, UC San Diego, San Diego, California
| | | | - Judy E Garber
- Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Brigham and Women's Hospital, Boston, Massachusetts
| | - Michael G Goggins
- Johns Hopkins University, Sol Goldman Pancreatic Cancer Research Center, Baltimore, Maryland
| | - Anirban Maitra
- Sheikh Ahmed Center for Pancreatic Cancer Research, University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Sapna Syngal
- Dana-Farber Cancer Institute, Boston, Massachusetts.
- Harvard Medical School, Boston, Massachusetts
- Brigham and Women's Hospital, Boston, Massachusetts
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7
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Kenner B, Chari ST, Kelsen D, Klimstra DS, Pandol SJ, Rosenthal M, Rustgi AK, Taylor JA, Yala A, Abul-Husn N, Andersen DK, Bernstein D, Brunak S, Canto MI, Eldar YC, Fishman EK, Fleshman J, Go VLW, Holt JM, Field B, Goldberg A, Hoos W, Iacobuzio-Donahue C, Li D, Lidgard G, Maitra A, Matrisian LM, Poblete S, Rothschild L, Sander C, Schwartz LH, Shalit U, Srivastava S, Wolpin B. Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review. Pancreas 2021; 50:251-279. [PMID: 33835956 PMCID: PMC8041569 DOI: 10.1097/mpa.0000000000001762] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
ABSTRACT Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly nonspecific. The premise of improved survival through early detection is that more individuals will benefit from potentially curative treatment. Artificial intelligence (AI) methodology has emerged as a successful tool for risk stratification and identification in general health care. In response to the maturity of AI, Kenner Family Research Fund conducted the 2020 AI and Early Detection of Pancreatic Cancer Virtual Summit (www.pdac-virtualsummit.org) in conjunction with the American Pancreatic Association, with a focus on the potential of AI to advance early detection efforts in this disease. This comprehensive presummit article was prepared based on information provided by each of the interdisciplinary participants on one of the 5 following topics: Progress, Problems, and Prospects for Early Detection; AI and Machine Learning; AI and Pancreatic Cancer-Current Efforts; Collaborative Opportunities; and Moving Forward-Reflections from Government, Industry, and Advocacy. The outcome from the robust Summit conversations, to be presented in a future white paper, indicate that significant progress must be the result of strategic collaboration among investigators and institutions from multidisciplinary backgrounds, supported by committed funders.
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Affiliation(s)
| | - Suresh T. Chari
- Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - David S. Klimstra
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Stephen J. Pandol
- Basic and Translational Pancreas Research Program, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | - Anil K. Rustgi
- Division of Digestive and Liver Diseases, Department of Medicine, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, NY
| | | | - Adam Yala
- Department of Electrical Engineering and Computer Science
- Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA
| | - Noura Abul-Husn
- Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine, Mount Sinai, New York, NY
| | - Dana K. Andersen
- Division of Digestive Diseases and Nutrition, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD
| | | | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Marcia Irene Canto
- Division of Gastroenterology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Yonina C. Eldar
- Department of Math and Computer Science, Weizmann Institute of Science, Rehovot, Israel
| | - Elliot K. Fishman
- Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, MD
| | | | - Vay Liang W. Go
- UCLA Center for Excellence in Pancreatic Diseases, University of California, Los Angeles, Los Angeles, CA
| | | | - Bruce Field
- From the Kenner Family Research Fund, New York, NY
| | - Ann Goldberg
- From the Kenner Family Research Fund, New York, NY
| | | | - Christine Iacobuzio-Donahue
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Debiao Li
- Biomedical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | - Anirban Maitra
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | - Lawrence H. Schwartz
- Department of Radiology, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, NY
| | - Uri Shalit
- Faculty of Industrial Engineering and Management, Technion—Israel Institute of Technology, Haifa, Israel
| | - Sudhir Srivastava
- Division of Cancer Prevention, National Cancer Institute, Bethesda, MD
| | - Brian Wolpin
- Gastrointestinal Cancer Center, Dana-Farber Cancer Institute, Boston, MA
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Yurgelun MB, Ukaegbu CI, Furniss CS, Kenner B, Klein A, Lowy AM, McAllister F, Mork ME, Nelson SH, Robertson A, Stopfer JE, Underhill M, Ocean AJ, Madlensky L, Petersen GM, Garber JE, Lippman SM, Goggins M, Maitra A, Syngal S. Improving cascade genetic testing for families with inherited pancreatic cancer (PDAC) risk: The GENetic Education, Risk Assessment and TEsting (GENERATE) study. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.4_suppl.tps779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
TPS779 Background: 4-10% of PDAC patients harbor pathogenic germline variants in cancer susceptibility genes, including APC, ATM, BRCA1, BRCA2, CDKN2A, EPCAM, MLH1, MSH2, MSH6, PALB2, PMS2, STK11, and TP53. For families with such pathogenic variants, the greatest potential impact of germline testing is to identify relatives with the same variant (cascade testing), thereby providing the opportunity for early detection and interception of PDAC and other associated cancers. Numerous factors limit cascade testing in real-world practice, including family dynamics, widespread geographic distribution of relatives, access to genetic services, and misconceptions about the importance of germline testing, such that the preventive benefits of cascade testing are often not fully realized. The primary aim of this study is to analyze two alternative strategies for cascade testing in families with inherited PDAC risk. Methods: 1000 individuals with a confirmed pathogenic germline variant in any of the above genes in a 1st/2nd degree relative and a 1st/2nd degree relative with PDAC will be remotely enrolled through the study website (www.GENERATEstudy.org) and randomized between two methods of cascade testing (individuals with prior genetic testing will be ineligible): Arm 1 will undergo pre-test genetic education with a pre-recorded video and live interactive session with a genetic counselor via a web-based telemedicine platform (Doxy.me), followed by germline testing through Color Genomics; Arm 2 will undergo germline testing through Color Genomics without dedicated pre-test genetic education. Color Genomics will disclose results to study personnel and directly to participants in both arms. All participants will have the option of pursuing additional telephone-based genetic counseling through Color Genomics. The primary outcome will be uptake of cascade testing. Secondary outcomes will include self-reported genetic knowledge, cancer worry, distress, decisional preparedness, familial communication, and screening uptake, which will be measured via longitudinal surveys. Enrollment is underway nationwide as of May, 2019. Clinical trial information: NCT03762590.
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Affiliation(s)
| | | | | | | | - Alison Klein
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD
| | | | | | - Maureen E Mork
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Jill E. Stopfer
- Center for Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | - Judy Ellen Garber
- Center for Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Anirban Maitra
- University of Texas MD Anderson Cancer Center, Houston, TX
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9
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Yurgelun MB, Furniss CS, Kenner B, Klein A, Lafferty CC, Lowy AM, McAllister F, Mork ME, Nelson SH, Robertson A, Stopfer JE, Underhill M, Ocean AJ, Madlensky L, Petersen GM, Garber JE, Lippman SM, Goggins M, Maitra A, Syngal S. Improving cascade genetic testing for families with inherited pancreatic cancer (PDAC) risk: The genetic education, risk assessment and testing (GENERATE) study. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.tps4162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
TPS4162 Background: 4-10% of PDAC patients harbor pathogenic germline variants in cancer susceptibility genes, including APC, ATM, BRCA1, BRCA2, CDKN2A, EPCAM, MLH1, MSH2, MSH6, PALB2, PMS2, STK11, and TP53. For families with such pathogenic variants, the greatest potential impact of germline testing is to identify relatives with the same pathogenic variant (cascade testing), thereby providing the opportunity for early detection and cancer interception of PDAC and other associated malignancies. Numerous factors limit cascade testing in real-world practice, including family dynamics, widespread geographic distribution of relatives, access to genetic services, and misconceptions about the importance of germline testing, such that the preventive benefits of cascade testing are often not fully realized. The primary aim of this study is to analyze two alternative strategies for cascade testing in families with inherited PDAC susceptibility. Methods: 1000 individuals (from approximately 200 families) with a confirmed pathogenic germline variant in any of the above genes in a 1st/2nd degree relative and a 1st/2nd degree relative with PDAC will be remotely enrolled through the study website (www.generatestudy.org) and randomized between two different methods of cascade testing (individuals with prior genetic testing will be ineligible): Arm 1 will undergo pre-test genetic education with a pre-recorded video and live interactive session with a genetic counselor via a web-based telemedicine platform (Doxy.me), followed by germline testing through Color Genomics; Arm 2 will undergo germline testing through Color Genomics without dedicated pre-test genetic education. Color Genomics will disclose results to study personnel and directly to participants in both arms. Participants in both arms will have the option of pursuing additional telephone-based genetic counseling through Color Genomics. The primary outcome will be uptake of cascade testing. Secondary outcomes will include participant self-reported genetic knowledge, cancer worry, distress, decisional preparedness, familial communication, and screening uptake, which will be measured via longitudinal surveys. Enrollment will begin February, 2019. Clinical trial information: NCT03762590.
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Affiliation(s)
| | | | | | - Alison Klein
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD
| | | | | | | | - Maureen E Mork
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Jill E. Stopfer
- Center for Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA
| | | | | | | | | | - Judy Ellen Garber
- Center for Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Anirban Maitra
- University of Texas MD Anderson Cancer Center, Houston, TX
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