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Endocrine Abstracts (2025) 116 P5 | DOI: 10.1530/endoabs.116.P5

NANETS2025 18th Annual Multidisciplinary NET Medical Symposium NANETS 2025 Population Science Section (10 abstracts)

Treatment Decision Concerns: A Latent Class Analysis in Young-Onset Neuroendocrine Tumors

Tao Xu, PhD1,4, Udhayvir S Grewal, MD2, Rhonda R DeCook, PhD1, Bradley D McDowell, PhD1,4, Brian M Gryzlak, MSW, MA1, Nicholas J Rudzianski, BS1, Kimberly C Serrano, BA1, Abigayle M Wehrheim, BS1, Chandrikha Chandrasekharan, MBBS3,5, Joseph S Dillon, MB, BCh3,4, Thorvardur R Halfdanarson MD6, Michael J Schnell, MS6, Carrie L Witter, BS6, T Clark Gamblin, MD7, Lindsay G Cowell, PhD8, Tobias Else, MD9, Heloisa P Soares, MD, PhD10, Vineeth Sukrithan, MD11, Sravani Chandaka, PhD12, Hanna K Sanoff, MD13, Fiona C He, MD14, David Geller, MD15, Robert A Ramirez, DO16, Mei Liu, PhD17, William Lancaster, MD18, Josh A Mailman, MBA19, Heather Moran, Med20, Maryann Wahmann21, Elyse Gellerman, MHS22, Elizabeth A Chrischilles, PhD1,4, Michael A O’Rorke, PhD1,4 & on behalf of the NET-PRO Study Investigators


1College of Public Health, Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA; 2Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia, USA; 3Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA; 4Holden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa, USA; 5Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA; 6Mayo Clinic, Rochester, Minnesota, USA; 7Medical College of Wisconsin, Milwaukee, Wisconsin, USA; 8O’Donnell School of Public Health, UT Southwestern Medical Center, Dallas, Texas, USA; 9Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, Michigan, USA; 10Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA; 11Division of Medical Oncology, Department of Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA; 12University of Kansas Medical Center, Kansas City, Kansas, USA; 13Division of Oncology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; 14Allina Health Cancer Institute, Minneapolis, Minnesota, USA; 15University of Pittsburgh, Pittsburgh, Pennsylvania, USA; 16Department of Internal Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA; 17Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA; 18Department of Surgery, Medical University of South Carolina, Charleston, South Carolina, USA; 19NorCal CarciNET Community, Oakland, California, USA; 20The Healing NET Foundation, Los Angeles, California, USA; 21Neuroendocrine Cancer Awareness Network, Fort Mill, South Carolina, USA; 22Neuroendocrine Tumor Research Foundation, Boston, Massachusetts, USA


Background: With the increasing incidence of neuroendocrine tumors (NETs), patients often face multiple worries about treatment decisions, including side-effects, costs, and disruptions to daily life. This study aimed to identify distinct worry profiles and examine their associations with sociodemographic and clinicopathological factors.

Methods: Baseline survey data were analyzed from patients, diagnosed between January 2018 and September 2024, in a multi-institutional U.S. cohort study - Neuroendocrine Tumors–Patient Reported Outcomes (NET-PRO), funded by the Patient-Centered Outcomes Research Institute (PCORI). The latent class analysis included five binary indicators reflecting whether participants reported being “at least a little worried” versus “not worried” about the following: (1) treatment side effects, (2) treatment costs, (3) time away from family, (4) time away from work, and (5) transportation to treatment facilities. We selected a three-class model that showed the best statistical fit and clear separation between classes. Multivariable multinomial logistic regression was used to examine associations between patient characteristics and worry profile membership.

Results: Among 2,198 participants (57.2% female) who completed five worry items, 261 (11.9%) were younger adults (aged 18-39 years at diagnosis). Classes identified were: (1) low-worry (10.8% overall [n = 238]; 6.5% younger [n = 17] vs 11.4% older adults [n = 221]), characterized by consistently low responses across items; (2) moderate-worry (52.6% overall [n = 1156]; 34.9% younger [n = 91] vs 55.0% older adults [n = 1065]), marked by concerns primarily about treatment side-effects (84.8%) and time away from family (58.4%); and (3) high-worry (36.6% overall [n = 804]; 58.6% younger [n = 153] vs 33.6% older adults [n = 651]), characterized by widespread worry across all domains. In multivariable multinomial logistic regression, Being female, having an advanced cancer stage, lower household income, greater distance to treatment, lower perceived quality of care, employer-sponsored or Medicaid coverage, limited health literacy, having carcinoid syndrome, and tumor location in the pancreas, lung, or unknown primary were all significantly associated with higher odds of belonging to the moderate- to high-worry latent classes (P < 0.05). The association between advanced disease stage and higher worry was stronger among younger individuals, who had significantly higher odds of belonging to the moderate- to high-worry latent classes compared to older individuals (interaction P < 0.001).

Conclusions: Higher levels of worries about decision-making were associated with key sociodemographic and clinicopathological factors. Younger adults may face unique challenges and greater levels of worry when navigating treatment decisions in the context of advanced disease. Routine assessment of treatment-related worries may facilitate supportive care and help reduce decisional distress in this growing population.

Abstract ID #33435

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