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McAllister, Florencia

https://orcid.org/0000-0002-9915-0943

Mayo Clinic

The University of Texas MD Anderson Cancer Center

Citations 6

Whole Metagenomic Profiling Identifies a Gut Microbial Signature for Chronic Pancreatitis via Machine Learning
Bartelli, Thais F., Sahin, Ismet, Hoffman, Kristi L. , Petrosino, Joseph, Zhao, Jing, Wood, Amy, Ayvaz, Tulin, Surathu, Anil , Cagigas, M. Navarro , Barcenas, Erick Carrasco, Mata, Tomera, Nguyen, Vincent Kim, Zulbaran-Rojas, Alejandro, White, James R., Ajami, Nadim, Yadav, Dhiraj, Conwell, Darwin L., Serrano, Jose, Pandol, Stephen J., Fogel, EL, Eden, Stephen K Van Den, Vege, S. S., Topazian, Mark D., Park, Walter G., Hart, Phil A., Forsmark, Chris, Bellin, Melena D., Maitra, Anirban, Kim, Michael, Buren, George Van , Fisher, William E., McAllister, Florencia , Behalf, on, Park, Walter G. , Bartelli, Thais Fernanda , Baydogan, Seyda , Petrosino, Joseph F. , Blackburn, Kyle Warren , Zulbaran‐Rojas, Alejandro , Li, Li , Faraoni, Erika Yanil , White, James R., Ajami, Nadim J. , Yadav, Dhiraj, Conwell, Darwin L. , Serrano, José , Pandol, Stephen J , Vege, Santhi Swaroop , Topazian, Mark , Forsmark, Chris E. , Bellin, Melena D. , Maitra, Anirban , Bhutani, Manoop S.

Pancreas | March 30, 2026 | Volume: 55 | Issue: 5 | Pages: e458-e468

10.1097/mpa.0000000000002618 Get It

Background: Pancreatitis significantly alters the microbial composition of the oral and intestinal compartments, causing dysbiosis that may contribute to disease mechanisms and potentially serve as a basis for diagnosis or treatment. Objective: To determine whether the oral or gut microbial signature can classify chronic pancreatitis (CP). Methods: Stool samples (n=707) were collected from participants in the Prospective Evaluation of Chronic Pancreatitis for Epidemiologic and Translational Studies (PROCEED). Samples were distributed among 200 healthy (HC), 310 CP, 49 acute pancreatitis (AP), and 148 recurrent acute pancreatitis (RAP). In addition, saliva samples were collected for a subset of participants (n=156). Whole genome sequencing was performed to assess microbiome composition. Machine learning algorithms were utilized to identify a signature with microbial features predictive of CP. Results: Gut alpha diversity was significantly decreased in AP, RAP, and CP compared with HC, with CP exhibiting the lowest diversity. In contrast, oral microbial diversity showed no significant variation across groups. Beta diversity analysis revealed distinct gut microbiome compositions between HC and pancreatitis subtypes, with CP showing the most pronounced differences. Random forest models using gut microbial species demonstrated robust predictive performance for CP using a minimum of 10 species (Area under the curve—AUC: 0.834; accuracy: 0.774). Despite similarities in gut microbiome composition across pancreatitis subtypes, a unique gut microbial signature for CP was identified highlighting the microbiome’s potential in CP diagnosis. Conclusion: Our study reveals a gut microbial signature predictive of CP using machine learning models in a large US multi-institutional cohort.
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
Rodriguez, Nicolette J. , Furniss, C. Sloane , Yurgelun, Matthew B. , Constantinou, Pamela E., Fortes, Ileana, Caruso, Alyson , Stopfer, Jill E. , Underhill‐Blazey, Meghan , Kenner, Barbara , Nelson, Scott H., Okumura, Sydney, Coffin, Tara B. , Ocean, Allyson J. , McAllister, Florencia , Lowy, Andrew M. , Lippman, Scott M. , Madlensky, Lisa , Petersen, Gloria M. , Ukaegbu, Chinedu I. , Schwartz, Alison , Nelson, Scott H., Zhou, Alicia Yiran , Uno, Hajime , Horiguchi, Miki , Klein, Alison P. , Garber, Judy E. , Goggins, Michael , Maitra, Anirban , Syngal, Sapna

Cancer Research | November 15, 2022 | Volume: 82 | Issue: 22_Supplement | Pages: A029-A029

10.1158/1538-7445.panca22-a029 Get It

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.
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
Rodriguez, Nicolette J. , Furniss, C. Sloane , Yurgelun, Matthew B. , Constantinou, Pamela E., Stopfer, Jill E. , Kenner, Barbara , Nelson, Scott H., Okumura, Sydney, Law, Sherman , Coffin, Tara B. , Ocean, Allyson J. , McAllister, Florencia , Lowy, Andrew M. , Lippman, Scott M. , Madlensky, Lisa , Petersen, Gloria M. , Ukaegbu, Chinedu I. , Schwartz, Alison , Underhill‐Blazey, Meghan , Nelson, Scott, Zhou, Alicia Yiran , Uno, Hajime , Klein, Alison P. , Garber, Judy E. , Goggins, Michael , Maitra, Anirban , Syngal, Sapna

Cancer Research | November 15, 2021 | Volume: 81 | Issue: 22_Supplement | Pages: PO-013-PO-013

10.1158/1538-7445.panca21-po-013 Get It

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.
Novel Models of Genetic Education and Testing for Pancreatic Cancer Interception: Preliminary Results from the GENERATE Study
Furniss, C. Sloane , Yurgelun, Matthew B. , Constantinou, Pamela E., Lafferty, Catherine C., Talcove-Berko, Eliana R., Schwartz, Alison , Stopfer, Jill E. , Underhill‐Blazey, Meghan , Kenner, Barbara , Nelson, Scott H., Okumura, Sydney, Law, Sherman , Coffin, Tara B. , Rodriguez, Nicolette J. , Uno, Hajime , Ocean, Allyson J. , McAllister, Florencia , Lowy, Andrew M. , Lippman, Scott M. , Madlensky, Lisa , Petersen, Gloria M. , Uno, Hajime , Lowy, Andrew M , Klein, Alison P , Garber, J. E. , Syngal, Sapna , Ukaegbu, Chinedu I. , Nelson, Scott H., Zhou, Alicia Yiran , Klein, Alison P. , Garber, Judy E. , Goggins, Michael , Maitra, Anirban

Cancer Prevention Research | October 8, 2021 | Volume: 14 | Issue: 11 | Pages: 1021-1032

10.1158/1940-6207.capr-20-0642 Get It

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.
Improving cascade genetic testing for families with inherited pancreatic cancer (PDAC) risk: The GENetic Education, Risk Assessment and TEsting (GENERATE) study.
Yurgelun, Matthew B. , Furniss, C. Sloane , Kenner, Barbara , Lowy, Andrew M. , McAllister, Florencia , Mork, Maureen E. , Nelson, Scott H., Robertson, Alison, Stopfer, Jill E. , Ocean, Allyson J. , Madlensky, Lisa , Petersen, Gloria M. , Lippman, Scott M. , Ukaegbu, Chinedu I. , Klein, Alison P. , Nelson, Scott H., Underhill‐Blazey, Meghan , Garber, Judy E. , Goggins, Michael , Maitra, Anirban , Syngal, Sapna

Journal of Clinical Oncology | February 4, 2020 | Volume: 38 | Issue: 4_suppl | Pages: TPS779-TPS779

10.1200/jco.2020.38.4_suppl.tps779 Get It

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.
Improving cascade genetic testing for families with inherited pancreatic cancer (PDAC) risk: The genetic education, risk assessment and testing (GENERATE) study.
Yurgelun, Matthew B. , Furniss, C. Sloane , Kenner, Barbara , Lafferty, Catherine C., Lowy, Andrew M. , McAllister, Florencia , Mork, Maureen E. , Nelson, Scott H., Robertson, Alison, Stopfer, Jill E. , Ocean, Allyson J. , Madlensky, Lisa , Petersen, Gloria M. , Lippman, Scott M. , Goggins, Michael, Klein, Alison P. , Nelson, Scott H., Underhill‐Blazey, Meghan , Garber, Judy E. , Maitra, Anirban , Syngal, Sapna

Journal of Clinical Oncology | May 27, 2019 | Volume: 37 | Issue: 15_suppl | Pages: TPS4162-TPS4162

10.1200/jco.2019.37.15_suppl.tps4162 Get It

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.