Olson, Janet E.

Abstract Background: The Pancreatic Cancer Detection Consortium (PCDC) is an NCI-sponsored initiative to improve detection of early-stage pancreatic ductal adenocarcinoma (PDAC). A key strategy in this initiative is to develop prospective, multi-center, longitudinal biospecimen collections from individuals without PDAC who are at high-risk of PDAC due to family history, germline variants, or the presence of pancreatic cystic lesions. The biospecimen collections, linked to clinically relevant data, will enable Phase 3 biomarker validation studies. Methods: The PCDC currently includes 10 funded Research Units (RUs): City of Hope/TGen, Dana Farber Cancer Institute, Johns Hopkins Medical Institute, Mayo Clinic/University of Pennsylvania, MD Anderson Cancer Center, Oregon Health and Science University, University of Nebraska, University of Pittsburgh Medical Center, University of California (UC) San Diego, UC San Franciso. Non-protected patient health information and biospecimen data is logged into a central Medidata Rave® database managed by a Management and Data Coordination Unit (MDCU) at Mayo Clinic (NCT06271291). Biospecimens collected include blood and pancreatic cyst fluid. Two options for blood collections exist: 1) 20 mL EDTA, 10 mL no additive if samples can be frozen within 4 hours of collection; 2) 10 mL EDTA, 10 mL Streck, 10 mL no additive if samples cannot be frozen within 4 (but less than 12) hours. Cyst fluid (up to 1000 uL), if available as clinical residual, will be obtained at the time of clinically indicated operative resection or endoscopic ultrasound guided aspiration procedures. All samples must be processed per standardized methods outlined in the lab manual and aliquoted into 500 uL (blood) or 100 uL (cyst fluid) units and frozen (-70oC). Long-term biospecimen storage will be set up at NCI Frederick National Laboratory (FNL). Single Institutional Review Board (sIRB) oversight is provided by Mayo Clinic. A collaborative research agreement has been executed to allow sharing of data and biospecimens between and within PCDC RU members, the MDCU, NCI and NCI FNL. Results: The enrollment of patients began February 7, 2025 with additional sites joining as necessary sIRB reliance documents and training is completed. The protocol is approved for up to 30,000 patients, age 18 years and older. 14 have been enrolled from 1 site as of July 10, 2025. Study endpoints include diagnosis of PDAC, death or complete pancreatectomy for non-PDAC reasons. Biospecimens and questionnaires will be collected annually. Summary and Future Plans: The PCDC has designed a Phase 3 biobank following EDRN study design principles. Biospecimens will be stored at NCI FNL. Access to the biobank resource will be overseen by the PCDC Steering Committee. We anticipate this being a rich Phase 3 biospecimen resource for the pancreatic cancer early detection research community. Citation Format: Janet E. Olson, Shounak Majumder, Jennifer J. Brooks, Emily J. Kirsch, Bridget H. Schmidt, Bill R. Bamlet, Erin E. Carlson, Ann L. Oberg. On the development of the Pancreatic Cancer Detection Consortium (PCDC) Prospective Cohorts biobank [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research—Emerging Science Driving Transformative Solutions; Boston, MA; 2025 Sep 28-Oct 1; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_3):Abstract nr B069.

Abstract Purpose: Germ cell tumors (GCTs) pose significant diagnostic challenges due to the limited sensitivity and specificity of current tumor markers. Hereby we utilize phage immunoprecipitation sequencing (PhIP-Seq) technique to develop a unique immunosignature panel (iSIGN) with high sensitivity and specificity to improve the diagnosis and differentiation of GCTs. Patients and Methods: Serum samples from patients with confirmed gonadal or extragonadal GCTs and controls were collected from Mayo Clinic repositories. Controls included benign testicular lesions, autoimmune diseases, neurodegenerative disorders, and other cancers. Samples were randomized into development and validation cohorts. PhIP-Seq identified antigen-autoantibody interactions, and enrichment scores were calculated to develop a biomarker panel distinguishing GCT from non-GCT cases. A second biomarker panel was developed to predict seminoma from nonseminoma cases. Results: A total of 427 serum samples were analyzed, including 150 from GCT patients and 277 controls. For our primary model to distinguish GCT cases (GCT-iSIGN), 24 peptides from 16 antigens were identified based on significant differential autoantibody binding enrichment in GCT patients (p < 0.05), ≥2 peptides per antigen, and enrichment scores ≥ 2.5-fold. GCT-iSIGN was highly sensitive (93%) and specific (99%) for identifying GCT cases from controls with an area under curve (AUC) of 0.93 and 9% Unknown Case Rate (UCR). The secondary panel (Sem-iSIGN) included 17 peptides corresponding to 5 unique proteins with high specificity (93%), moderate sensitivity (65%) and AUC of 0.77 to distinguish seminoma from nonseminoma GCT cases. Conclusion: This study demonstrates the potential use of PhIP-Seq to identify unique immunosignature panels that can serve as reliable biomarkers for GCT. These panels address the limitations of traditional markers and other proteomic techniques. This immunosignature model represents a cost-effective, stable, and scalable approach to enhancing GCT diagnosis and management. Citation Format: M Bakri Hammami, Andrew Knight, Haidara Kherbek, Brian Costello, Silvana De Lorenzo, Bradley C. Leibovich, John C. Cheville, Yong Guo, Jessica Sagen, Janet E. Olson, Alicia Algeciras-Schimnich, Sean J. Pittock, John R. Mills, Surendra Dasari, Divyanshu Dubey. iSIGN panel identifies germ cell tumors via whole-proteome phage immunoprecipitation sequencing [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Mechanisms of Cancer Immunity and Cancer-related Autoimmunity; 2025 Sep 24-27; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(9 Suppl):Abstract nr B027.

Abstract Background Breast cancer (BC) survivors frequently experience sleep disturbances, which may persist for many years after treatment. This study aimed to describe trends in sleep-related symptoms over time and identify factors that may be associated with sleep disturbances in BC survivors. Patients and Methods Adult patients from the Mayo Clinic Breast Disease Registry were surveyed annually for up to 7 years post-diagnosis. Sleep disturbance severity was assessed using numeric rating scales for difficulty falling and staying asleep. Data from 3354 unique patients were analyzed, excluding those with metastatic disease or recurrence. Univariable and multivariable analyses were performed at the 1-year survey timepoint to evaluate disease and patient-related factors that were associated with increased sleep-related symptoms, and these factors were also assessed in relationship to sleep-related symptoms over time. Results In multivariable analyses, more trouble falling asleep was associated with financial insecurity, higher clinical stage, more cigarettes smoked per day, and less weekly exercise. More trouble staying asleep was associated with older age, race, advanced education, financial insecurity, and higher clinical stage. Over time, there was a nonsignificant trend toward increased trouble falling asleep and fluctuations in trouble staying asleep. Higher clinical stage and receipt of radiotherapy were associated with decreased severity in trouble falling asleep over time, while more cigarettes smoked per day was linked to increased severity in trouble staying asleep. Conclusions These findings highlight the complex interplay of clinical, lifestyle, and demographic factors in sleep disturbances among BC survivors, underscoring the need for tailored sleep management strategies.

Background/Objectives: This study aims to evaluate the quality of life (QoL) and oncological outcomes in premenopausal women diagnosed with hormone receptor-positive breast cancer who are receiving either bilateral oophorectomy (BO) or gonadotropin-releasing hormone agonist (GnRH) therapy. Both methods serve to inhibit ovarian function, which is essential for the management of estrogen-dependent tumors; however, their effects on QoL have yet to be fully clarified. Methods: Data were analyzed from the Mayo Clinic Breast Disease Registry, focusing on women under 55 diagnosed with estrogen receptor-positive breast cancer who received either BO or GnRH within one year of diagnosis. QoL was assessed using the Patient-Reported Outcomes Measurement Information System Global-10 (PROMIS-10) at baseline and annually for five years. Results: A total of 181 patients were enrolled in the study; 40 into the BO group and 141 to the GnRH group. Both groups exhibited similar levels of sexual dysfunction after a one-year period; however, the BO group stated a higher frequency of hot flashes. PROMIS-10 scores improved in both mental and physical health over time, with no significant differences between the groups. Within the BO group, one recurrence was observed, in contrast to the GnRH group, which had six events. Nonetheless, the difference in recurrence rates did not reach statistical significance. Conclusions: The long-term QoL and oncologic outcomes for premenopausal women with hormone receptor-positive breast cancer were similar for BO and GnRH therapy. These findings emphasize the need for individualized treatment decisions, considering patient preferences and side effects.

11114 Background: Advances in early detection and treatment of breast cancer (BC) have significantly improved survival outcomes. In this growing survivor population, addressing modifiable lifestyle factors such as alcohol intake (AI), a known risk factor for BC and BC recurrence, is critical to improving prognosis and health-related quality of life (HRQoL). This study examines AI patterns and their associations with mental and physical HRQoL in early BC survivorship. Methods: Adult patients newly diagnosed (≤1 year) with stage I–III BC at Mayo Clinic Rochester were invited to enroll in the Mayo Clinic Breast Disease Registry. Of the 3252 patients who consented, 1997 completed surveys approximately one-year post-diagnosis, capturing weekly AI, demographic factors, and PROMIS-10 scores. PROMIS-10 (a 10-item measure of health, well-being, and distress) physical and mental health T-scores (mean = 50, SD = 10) are standardized to the U.S. population. Weekly AI was categorized as minimal/none (<1 drink), mild (1–4 drinks), moderate (5–14 drinks), or high (≥15 drinks). Univariate analyses were performed with Monte Carlo-based Fisher exact tests. Multivariate multinomial logistic regression models using a glogit link function assessed AI as the outcome and PROMIS-10 scores as independent variables, adjusting for financial status, smoking, chemotherapy, and moderate exercise because those were associated with AI at year 1 in prior analyses. Results: Univariate analyses revealed statistically significant associations between AI and PROMIS-10 scores (Table 1). Adjusted multivariate analyses identified that patients with better physical health were more likely to drink 1–4 or 5–14 drinks/week and less likely to abstain (<1 drink/week) than those with poorer physical health (p=0.027). There was no statistically significant association between AI and mental health QoL after adjustment for covariates. Conclusions: Better physical HRQoL during early survivorship was associated with higher AI, suggesting that patients who are feeling physically unwell may be less likely to drink alcohol. Additional public health messaging about the relationship between AI and breast cancer risk and recurrence may be needed, especially for those who are feeling well enough to consume alcohol. Univariate analyses of year 1 PROMIS-10 scores with year 1 alcohol consumption using Monte Carlo-based Fisher exact test. Alcoholic drinks per week at year 1 < 1(N=1204) 1-4(N=600) 5-14(N=175) 15+(N=18) Total(N=1997) P-value PROMIS global mental health T score, Year 1, n (%) 0.008 < 50 466 (63.8%) 200 (27.4%) 54 (7.4%) 10 (1.4%) 730 (37.1%) 50+ 718 (57.9%) 394 (31.8%) 120 (9.7%) 7 (0.6%) 1239 (62.9%) Missing 20 6 1 1 28 PROMIS global physical health T score, Year 1, n (%) <0.001 < 50 440 (66.5%) 165 (24.9%) 50 (7.6%) 7 (1.1%) 662 (33.6%) 50+ 740 (56.7%) 432 (33.1%) 124 (9.5%) 10 (0.8%) 1306 (66.4%) Missing 24 3 1 1 29

12083 Background: Fatigue and sleep disturbance are prevalent during and after cancer treatment; sleep-related symptoms affect 30-50% of patients with cancer, and sleep-wake disruptions persist beyond the immediate post-surgical period in breast cancer (BC) survivors. Identifying demographic- and treatment-related factors associated with sleep-related symptoms during survivorship is critical to inform interventions for those at highest risk of sleep disturbance. Methods: Patients who were seen at least once at Mayo Clinic Rochester following an initial diagnosis of BC at age 18 or older and provided informed consent were prospectively enrolled in the Mayo Clinic Breast Disease Registry. Surveys mailed to this cohort included two 11-point numeric rating scale questions regarding difficulty falling asleep and staying asleep in the past week, with values for each ranging from 0 (no problem) to 10 (as severe as you can imagine). Participants who provided sleep-related information on the Year 1 survey (answered approximately one year after cancer diagnosis) were included. Participants were excluded if they had clinical or pathologic metastatic disease and/or recurrence prior to the Year 1 survey. Associations of sleep-related symptoms with demographic and clinical characteristics were assessed using multivariate linear regression models, fitting the sleep difficulty rating scale as the outcome and clinical and demographic factors as exposures. Results: In total, 3,354 participants met inclusion criteria. The average age at BC diagnosis was 59, and most participants were female (99.3%), White (95.4%), non-Hispanic (96.2%), married (78.1%), had at least some college education (80.4%), did not report financial insecurity (76.2%), did not consume alcohol (60.6%) or smoke tobacco (93.2%), and reported at least some weekly exercise (76,6%). Sixty-two percent of participants had clinical stage 0 or I disease; 50.3% underwent lumpectomy (not mastectomy), 59.2% received radiotherapy, 34.1% received chemotherapy, and 67.2% received endocrine therapy. Overall, sleep-related symptoms were relatively low (mean rating for falling asleep = 2.1, mean rating for staying asleep = 3.1). In multivariate analyses, more difficulty falling asleep was associated with higher clinical stage (p < 0.001), more cigarettes smoked per day (p = 0.012), less moderate and/or strenuous exercise (p = 0.001), and more financial hardship (p < 0.001). More difficulty staying asleep was associated with higher clinical stage (0.003), older age (p < 0.001), more education (p = 0.011), and more financial hardship (p < 0.001). Conclusions: In our cohort of BC survivors, factors associated with both increased difficulty with falling and staying asleep at one year after diagnosis are higher clinical stage and more financial hardship. Future research should explore the course of these symptoms over time and across varied treatment trajectories.

12038 Background: CIPN, primarily associated with sensory neuropathy rather than motor or autonomic dysfunction, is a potentially long-term complication of cancer treatment including taxanes and platinums (T/Ps), and can negatively impact quality of life for breast cancer (BC) survivors. This project aims to quantify the severity of neuropathic symptoms at one and three years after diagnosis in BC survivors, comparing recipients of T/P to non-recipients. Methods: In the Mayo Clinic Breast Registry (MCBDR), a longitudinal cohort, surveys and medical record data from patients with stage 1-3 BC were used to understand the burden of neuropathic symptoms at 1- and 3-years post-diagnosis (denoted as Y1 and Y3). Y1 and Y3 raw scores from The Quality of Life Questionnaire-Chemotherapy-Induced Peripheral Neuropathy 20 (CIPN20) composite (CIPN20-C) and sensory subscale (CIPN-S) were converted to a 0-100 point scale, with lower scores corresponding to worse symptoms. Patients with BC recurrence prior to Y3 or incomplete surveys were excluded. We used two sample t-tests and multivariable linear regression modeling to compare recipients of T/P to non-recipients of T/P (with threshold for statistical significance p <0.05). Results: 786 patients were included, 112 of whom (14.2%) received T/P. T/P recipients were younger (p<0.001), more likely to have Stage II/III disease (p<0.001), and less likely to have received endocrine therapy (p<0.001). Univariate analyses revealed worse CIPN20-C score at Y1 (p=0.02) and worse CIPN20-S scores (p=0.004) at Y1 and Y3 in T/P recipients compared to non-recipients (Table). However, differences between the groups were no longer statistically significant after adjustment for age, stage and endocrine therapy. Conclusions: In this cohort, neuropathic symptom severity at Y1 and Y3 after a breast cancer diagnosis did not differ between recipients of taxane and/or platinum agents and nonrecipients after adjustment for age, stage, and endocrine therapy. These data may reassure patients and clinicians who are concerned about CIPN and considering use of these chemotherapies in this setting. Patient demographics and CIPN20 results. Clinical characteristic T/P recipients Non-recipients of T/P Age at diagnosis, mean (SD) 55.3 (11.6)* 59.8 (11.9) White race, N (%) 108 (96.4%) 660 (97.9%) Clinical stage II/III, N (%) 76 (68.5%)* 250 (37.5%) Endocrine therapy, N (%) 73 (65.2%)* 636 (94.4%) Diabetes mellitus, N (%) 9 (8.9%) 52 (8.6%) Y1 CIPN20-C score, mean (SD) 89.6 (10.9)* 92.0 (9.7) Y3 CIPN-C score, mean (SD) 89.4 (11.4) 91.1 (9.7) Y1 CIPN20- S score, mean (SD) 87.3 (15.1)* 91.3 (13.0) Y3 CIPN20-S score, mean (SD) 88.2 (14.1)* 91.1 (11.7) *Statistically significant (p <0.05) on univariate analysis.

Abstract Clonal hematopoiesis (CH) of indeterminate potential (CHIP), driven by somatic mutations in leukemia-associated genes, confers increased risk of hematologic malignancies, cardiovascular disease, and all-cause mortality. In blood of healthy individuals, small CH clones can expand over time to reach 2% variant allele frequency (VAF), the current threshold for CHIP. Nevertheless, reliable detection of low-VAF CHIP mutations is challenging, often relying on deep targeted sequencing. Here, we present UNISOM, a streamlined workflow for enhancing CHIP detection from whole-genome and whole-exome sequencing data that are underpowered, especially for low VAFs. UNISOM utilizes a meta-caller for variant detection, in couple with machine learning models which classify variants into CHIP, germline, and artifact. In whole-exome sequencing data, UNISOM recovered nearly 80% of the CHIP mutations identified via deep targeted sequencing in the same cohort. Applied to whole-genome sequencing data from Mayo Clinic Biobank, it recapitulated the patterns previously established in much larger cohorts, including the most frequently mutated CHIP genes and predominant mutation types and signatures, as well as strong associations of CHIP with age and smoking status. Notably, 30% of the identified CHIP mutations had &lt; 5% VAFs, demonstrating its high sensitivity toward small mutant clones. This workflow is applicable to CHIP screening in population genomic studies. The UNISOM pipeline is freely available at https://github.com/shulanmayo/UNISOM and https://ngdc.cncb.ac.cn/biocode/tool/7816.

Abstract Background: Epidemiologic studies commonly obtain important exposure and outcome information from patient self-report although these may be influenced by imperfect understanding and/or faulty recall. The Voyage Study is a large-scale, prospective cohort study of long-term health outcomes among participants with a valid multi-target stool DNA (mt-sDNA) test order (N=150, 047). The purpose of this analysis was to evaluate the validity of participant reported mt-sDNA tests, colorectal cancer (CRC), and/or aerodigestive cancers (ADC, including cancers of the head, neck, oral, esophageal, lung, liver, stomach, pancreas, anus) among respondents. Methods: Participants from across the Unites States enrolled in the study completing questionnaires at enrollment and 1 year. The year 1 questionnaire collected data on completion and outcome of their mt-sDNA test, follow up colonoscopies and other procedures as well as a diagnosis of CRC or ADC. The study team contacts those who reported either CRC or ADC for permission to obtain copies of medical records. Records are then reviewed by a trained nurse abstractor and evaluated for validity. Mt-sDNA test results were available from Exact Sciences. Results: At the time of this analysis, year 1 questionnaire data were available on 135, 035 participants. Abnormal mt-sDNA results (n=12, 928) were self-reported by 13, 420 participants with 96.3% accuracy. Of the 111, 556 self-reported normal results, 93.4% (n=104, 150) were reported correctly. The validation process for the Voyage Study is ongoing with 860 self-reported CRC and 318 self-reported aerodigestive cancer diagnoses to date. Complete data are available on 155 individuals with a self-report of a new CRC diagnosis and 63 individuals with a self-report of aerodigestive cancer. Abstraction confirmed 47% (n=73) of those reported as true CRC diagnoses. Participants were better at correctly reporting at least one aerodigestive cancer (73%, n=46). Discussion and Conclusions: Patient reported medical record validation poses a unique challenge in today’s world. The process of requesting participant authorization followed by institutional requests to release the medical records to the research team is slow and painstaking. We found that patients are able to correctly report their mt-sDNA tests but found a relatively low proportion of reported cancer diagnoses reported correctly. This underscores the need to continue to validate key outcomes rather than relying solely on participant responses. As the number of outcomes validated increases, the study team will look at a variety of social and economic factors to better understand what contributes to or hinders an accurate self-report. Citation Format: Emily J. Kirsch, Jessica A. Grimm, Shawn M. Stoddard, Winnie Z. Fan, Kandace A. Bohn, Kathleen J. Yost, Lila J. Finney Rutten, Janet E. Olson. Patient reported outcome validation within the Voyage Study cohort [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 7354.

Abstract Monoclonal gammopathy of undetermined significance (MGUS) is a precursor to multiple myeloma (MM). Clonal hematopoiesis of indeterminate potential (CHIP) is a precursor to either myeloid or lymphoid malignancy, depending on whether the mutation is in a gene associated with lymphoid (L-CHIP) or myeloid (M-CHIP) outcome. Little is known about the association between CHIP and MGUS and their combined effect on risk of MM. We examined this question within Mayo Clinic Biobank cohort of participants aged 50 years or older with no prior history of hematological malignancies. Using whole blood, individuals were screened for MGUS using a matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry assay. M-CHIP and L-CHIP were defined based on mutations in 56 genes associated with myeloid malignancies or mutations in 235 genes associated with lymphoid malignancies, respectively, using whole-exome-sequencing. Incident MM was identified using International Classification of Diseases (ICD) codes and confirmed via medical record review. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals for the association of CHIP and MGUS. Cox proportional hazards regression was used to estimate hazard ratios (HR), with time defined as date between blood sample and the first incident MM, date of death, or 12/31/2023. All models were adjusted for age and sex. Of the 16, 479 individuals (median age 65 years, 45% male) screened, 12.3% were positive for MGUS, 9.8% were positive for M-CHIP, and 1.5% were positive for L-CHIP. There was no evidence of an association between M-CHIP and MGUS (OR=0.97, 95% CI:0.83-1.12) nor L-CHIP and MGUS (OR=1.12, 95% CI:0.78-1.57), including with any MGUS isotype (IgA, IgG, or IgM; P-values&gt;0.22). Next, we investigated the association of these precursors on risk of MM. Median follow-up was 11.7 years (range 0.1-15.1), and 46 individuals developed incident MM. Both MGUS (HR=29.7, 95% CI: 14.1-62.4) and L-CHIP (HR=4.1, 95% CI: 1.3-13.2) were significantly associated with incident MM, but not M-CHIP (HR-1.0, 95% CI: 0.4-2.5). Investigating the combined effect of MGUS and L-CHIP, we found those with MGUS alone had a 27.5-fold (95% CI: 13.0-58.2) increased risk of incident MM compared to those with no precursors. No individuals with L-CHIP only developed MM, but those with both L-CHIP and MGUS had a 129.4-fold (95% CI: 34.4-486.4) increased risk of incident MM. In the largest cohort with screened MGUS and CHIP, we found no evidence of an association between either definition of CHIP with MGUS. However, individuals with both L-CHIP and MGUS were at the highest risk of developing MM. Citation Format: Nicholas J. Boddicker, Cristine Allmer, Danelle H. Moonen, Aaron D. Norman, Angelica Macauda, Alyssa Clay-Gilmour, Janet E. Olson, Mrinal S. Patnaik, Vincent Rajkumar, Esteban Braggio, David L. Murray, Shaji Kumar, Susan L. Slager, Celine M. Vachon. The association between MGUS and CHIP and their impact on multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 4917.