Citations

Background Screening for monoclonal gammopathy (MG) is often performed in the evaluation of anemia. While certain MGs may be associated with anemia, these are rare conditions. Monoclonal gammopathy of undetermined significance (MGUS; prevalence of 8% among age >50 years) is common, but rarely causes anemia in isolation. Therefore, abnormal results from MG screening may be unrelated to patient symptoms and result in both financial and psychological harm. Limited data exist to guide clinicians regarding the utility of MG testing for anemia. Aims This study aims to describe both the clinical utility of MG screening during the evaluation of anemia and the most common etiologies for anemia in patients whose workup included MG screening. Methods We reviewed medical records of patients who received MG screening to evaluate anemia at Mayo Clinic in 2021. Patients with a previously diagnosed MG were excluded. MG testing included serum protein electrophoresis and free light chain assessments. The following data were extracted: hemoglobin, hematocrit, mean corpuscular volume (MCV), calcium, creatinine, eGFR, and the final hematologic diagnosis related to the monoclonal protein. Clinician documentation was evaluated to determine the attributed etiology of anemia. Results Among the 271 patients with anemia who were screened for MG, 33 (12.2%) were found to have a newly diagnosed MG. Only 2 patients screened for MG were ultimately found to have anemia caused by MG. These included a case of multiple myeloma and one patient with cold agglutinin disease and secondary hemolysis. In all patients screened, their anemia was ultimately thought to be due to iron deficiency (31.7%), B12 deficiency (3.0%), anemia of chronic disease (ACD)/inflammatory anemia (14.4%), chronic kidney disease (CKD) (3.7%), hemolysis (1.5%), hypogonadism (1.9%), idiopathic (21.0%), multifactorial: iron deficiency + ACD/inflammatory (3.0%), multifactorial: nutritional; iron deficiency + B12 deficiency (3.0%), multifactorial: ACD + CKD (5.2%), multifactorial: iron deficiency + CKD (1.8%), multifactorial: not otherwise specified (NOS) (6.6%), medications (0.4%), and other (2.6%). Both patients with newly diagnosed MG associated anemia presented with peripheral neuropathy as their primary symptom. Among these 2 patients diagnosed with dysproteinemia associated anemia, only one (0.4%) was placed on therapy for their MG. Summary/Conclusions In the evaluation of anemia, routine MG screening has low clinical utility. Less than 1 in 100 patients were found to have anemia attributable to MG. Furthermore, only 0.4 in 100 patients received MG-directed therapy. Most patients screened with SPEP for undifferentiated anemia were found to have anemia attributable to common causes including iron/nutritional deficiency, inflammatory processes, and CKD. Most patients with undifferentiated anemia would benefit from an anemia evaluation that focuses on the most common causes up front. Given the cost to healthcare and potential psychological harm to the patient of incidental MG diagnosis, further study is warranted to guide clinicians and limit the ordering of MG testing to individuals who are most likely to derive benefit.

Abstract Introduction: The Patient Engagement-Cancer Genome Sequencing Research Center (PE-CGS; NCI U2C CA252973) based at the University of New Mexico Comprehensive Cancer Center (UNMCCC) with partners at Mayo Clinic Comprehensive Cancer Center, the Translational Genomics Research Institute, and the Black Hills for American Indian Health Research Center are developing culturally appropriate strategies and methods to address the underrepresentation of American Indians (AIs) in genomic research. Our efforts are directed towards the implementation of tailored cancer prevention, diagnosis, and treatment strategies that reduce cancer health disparities in Tribal communities. Methods: The PE-CGS Center has three units, each tasked with specific research components to engage AI participants in participatory, clinically-meaningful genomic research: 1) the Participant Engagement Unit; 2) the Genomics Characterization Unit; and 3) the Engagement Optimization Unit (EOU). The Center also has a Tribal Advisory Committee, composed of Tribal Governors, Presidents, and tribal health advocates and experts, who provide direction on all research matters. The PE-CGS EOU uses iterative rapid-cycle research techniques to optimize engagement and shares these strategies with other units for timely implementation. To date, the EOU has developed and implemented three key efforts. First, to aid in recruiting participants for the study, the EOU tailored a series (6) of participant-facing informational materials that include artwork from a local AI artist who combined her traditional and scientific knowledge to prepare complementary imagery. Second, the EOU is currently implementing a series of semi-structured discussions to document participant perceptions on criteria including engagement, communication, and education. Lastly, the EOU implemented a survey among UNMCCC providers on their return of results processes. Results: EOU discussions are ongoing and have provided important perspectives on participant satisfaction and areas for improvement. Participants have commended study staff on their efforts to make enrollment straightforward. Participants report discussing the study with family prior to enrolling, highlighting the importance of continuing to engage with the entire community on the goals of the study. The provider return of results survey is complete (n=42/62, response rate=68%); one key finding was that providers who return somatic test results rarely provide participants with a hard copy of the results or utilize complementary materials that might enhance their explanation of the test findings. Conclusion: The EOU serves an innovative function through its rapid-cycle methods to optimize participant engagement. Although participants are generally pleased with their study participation, there are numerous opportunities for improvement. The informational materials represent a novel contribution to the field of genomic research. Efforts will continue to implement optimized processes for effective engagement of AI communities in genomic research and cancer care delivery. Citation Format: Shoshana Adler Jaffe, Kendal Jacobson, Joseph Rodman, Cindy Blair, Debra MacKenzie, Mallery Quetawki, Tamar Ginossar, V. Shane Pankratz, Andrew Sussman, Ursa Brown-Glabermen, Jeffrey Trent, Cheryl Willman, Shiraz I. Mishra. The art of science: Painting a new image of genomic research in the indigenous communities of the Southwest [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr B134.

ObjectiveMicrotubule‐associated protein tau (MAPT) mutations cause frontotemporal lobar degeneration, and novel biomarkers are urgently needed for early disease detection. We used task‐free functional magnetic resonance imaging (fMRI) mapping, a promising biomarker, to analyze network connectivity in symptomatic and presymptomatic MAPT mutation carriers.MethodsWe compared cross‐sectional fMRI data between 17 symptomatic and 39 presymptomatic carriers and 81 controls with (1) seed‐based analyses to examine connectivity within networks associated with the 4 most common MAPT‐associated clinical syndromes (ie, salience, corticobasal syndrome, progressive supranuclear palsy syndrome, and default mode networks) and (2) whole‐brain connectivity analyses. We applied K‐means clustering to explore connectivity heterogeneity in presymptomatic carriers at baseline. Neuropsychological measures, plasma neurofilament light chain, and gray matter volume were compared at baseline and longitudinally between the presymptomatic subgroups defined by their baseline whole‐brain connectivity profiles.ResultsSymptomatic and presymptomatic carriers had connectivity disruptions within MAPT‐syndromic networks. Compared to controls, presymptomatic carriers showed regions of connectivity alterations with age. Two presymptomatic subgroups were identified by clustering analysis, exhibiting predominantly either whole‐brain hypoconnectivity or hyperconnectivity at baseline. At baseline, these two presymptomatic subgroups did not differ in neuropsychological measures, although the hypoconnectivity subgroup had greater plasma neurofilament light chain levels than controls. Longitudinally, both subgroups showed visual memory decline (vs controls), yet the subgroup with baseline hypoconnectivity also had worsening verbal memory and neuropsychiatric symptoms, and extensive bilateral mesial temporal gray matter decline.InterpretationNetwork connectivity alterations arise as early as the presymptomatic phase. Future studies will determine whether presymptomatic carriers' baseline connectivity profiles predict symptomatic conversion. ANN NEUROL 2023;94:632–646