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IMPORTANCEYoung adults aged 18 to 39 years represent the minority of breast cancer diagnoses but are particularly vulnerable to financial hardship. Factors contributing to sustained financial hardship are unknown.OBJECTIVESTo identify financial hardship patterns over time and characterize factors associated with discrete trajectories; it was hypothesized that treatment-related arm morbidity, a key source of expense, would be associated with long-term financial difficulty.DESIGN, SETTING, AND PARTICIPANTSThis cohort study included US young adults aged 40 years or younger treated between 2006 and 2016. Eligible patients were treated for stage 0 to stage III breast cancer at institutions participating in the Young Women’s Breast Cancer Study, which included a specialized cancer institute and 12 other academic and community hospitals. Patients who responded at baseline and returned a 1-year survey were included in analysis. Data were analyzed in March 2024.MAIN OUTCOMES AND MEASURESTrajectory modeling classified patterns of financial difficulty from baseline through 10 years postdiagnosis using the Cancer Rehabilitation Evaluation System (CARES) scale. Multinomial regression examined characteristics, including treatment-related arm morbidity, associated with each trajectory.RESULTSA total 1008 patients were included (median [IQR] age at diagnosis, 36 [33-39] years; 60 Asian [6.0%], 35 Black [3.5%], 47 Hispanic [4.7%], 884 White [87.7%]); 840 patients were college graduates (83.3%), 764 were partnered at baseline (75.8%), 649 were nulliparous (64.4%), and 908 were without comorbidities at enrollment (90.1%). Patients’ tumors were primarily stage I-II (778 [77.2%]), estrogen receptor/progesterone receptor–positive (754 [74.8%]), and ERBB2-negative (formerly HER2) (686 [68.1%]). Patients were more frequently treated with mastectomy than breast conservation (771 [76.5%] vs 297 [29.5%]; P < .001). A majority of patients received radiation therapy (627 [62.2%]), chemotherapy (760 [75.4%]), and endocrine therapy (610 [60.6%]). A total of 727 patients (72.1%) reported arm symptoms within 2 years of surgery. Three distinct trajectories of experiences with finances emerged: 551 patients (54.7%) had low financial difficulty (trajectory 1), 293 (29.1%) had mild difficulty that improved (trajectory 2), and 164 (16.3%) had moderate to severe difficulty peaking several years after diagnosis before improving (trajectory 3). Hispanic ethnicity (OR, 3.71; 95% CI, 1.47-9.36), unemployment at baseline and 1 year (OR, 2.66; 95% CI, 1.63-4.33), and arm symptoms (OR, 1.77; 95% CI, 1.06-2.96) were associated with increased odds of experiencing trajectory 3. Having a college degree (OR, 0.20; 95% CI, 0.12-0.34) or being partnered (OR, 0.24; 95% CI, 0.15-0.38) were associated with increased odds of experiencing trajectory 1.CONCLUSIONIn this cohort study of young adults with breast cancer, we identified a subset of patients who experienced a high degree of financial difficulty persisting into early survivorship. Targeted interventions to mitigate financial toxicity—modifiable factors that include support for the employability or return to work support for those experiencing arm symptoms after treatment—are needed.

Abstract Purpose: To determine the relationship between germline pathogenic variants (PV) in cancer predisposition genes and the risk of ductal carcinoma in situ (DCIS). Experimental Design: Germline PV frequencies in breast cancer predisposition genes (ATM, BARD1, BRCA1, BRCA2, CDH1, CHEK2, PALB2, RAD51C, and RAD51D) were compared between DCIS cases and unaffected controls and between DCIS and invasive ductal breast cancer (IDC) cases from a clinical testing cohort (n = 9,887), a population-based cohort (n = 3,876), and the UK Biobank (n = 2,421). The risk of contralateral breast cancer (CBC) for DCIS cases with PV was estimated in the population-based cohort. Results: Germline PV were observed in 6.5% and 4.6% of women with DCIS in the clinical testing and population-based cohorts, respectively. BRCA1, BRCA2, and PALB2 PV frequencies were significantly lower among women with DCIS than those with IDC (clinical cohort: 2.8% vs. 5.7%; population-based cohort: 1.7% vs. 3.7%), whereas the PV frequencies for ATM and CHEK2 were similar. ATM, BRCA1, BRCA2, CHEK2, and PALB2 PV were significantly associated with an increased risk of DCIS (OR > 2.0), but only BRCA2 PV were associated with high risk (OR > 4) in both cohorts. The cumulative incidence of CBC among carriers of PV in high-penetrance genes with DCIS was 23% over 15 years. Conclusions: The enrichment of PV in ATM, BRCA1, BRCA2, CHEK2, and PALB2 among women with DCIS suggests that multigene panel testing may be appropriate for women with DCIS. Elevated risks of CBC in carriers of PV in high-penetrance genes with DCIS confirmed the utility of testing for surgical decision-making.

Abstract Purpose To assess incidence and risk factors for anthracycline-induced left ventricular dysfunction, and associated mortality in order to inform patients and providers of the risk, as well as for clinical trial endeavours. Background Anthracyclines (ACs) are very effective cancer therapeutics, but their use is confronted by the risk of cardiotoxicity. Estimates of AC-induced cardiotoxicity based on systematic analyses are limited and have not recently been defined. We present here a systematic review and meta-analysis of the incidence of anthracycline induced subclinical (AC-LVD) and clinical LV dysfunction (AC-CHF) and AC-CHF related mortality in non-liposomal AC recipients over the last 3 decades. Methods We searched Ovid MEDLINE(R), Embase, Cochrane Database and other major databases from their inception until June 22, 2023 for studies examining the rate of AC induced cardiomyopathy in patients receiving ACs and anthraquinones for haematologic, breast (BC) and sarcomatous malignancies. Covidence was used to aid with the management of our systematic review. Screening of abstracts and data extraction was independently performed by 2 reviewers. Results 6,365 abstracts were reviewed, of which 74 were included in the final analysis. 72 studies (n=41,138) reported data on AC-LVD, and 47 studies (n=27,012) reported data on AC-CHF. The average age was 53 years and 50% of the patients were female. Data on cardiac function at baseline was available in only 70% of the studies. Overall, AC-LVD occurred in 8.2% (95% CI 6.8%-10.2% I2 97%) (Fig 1). AC-CHF was noted in 2.2% (95% CI 1.6% to 2.9%, I2 91%) (Fig 2A), mortality related to decompensated AC-CHF was 0.5% (95% CI 0.3%-0.9%, I2 88%) (Fig 2B) while total mortality rate among AC recipients was 24.9% (95% CI 14.8-38.7%, I2 99%). Incidence of AC-LVD was higher in doxorubicin recipients (vs other ACs 10.5% vs 5-5.6%), studies from North America & Asia (vs other regions; 9.3-9.6% vs 6.7%), and prospective studies (vs retrospective studies; 8.7% vs 7.5%). AC-LVD was more common in BC patients (vs other cancers; 8.7% vs 3.5-7.2%) while AC-CHF was more common in lymphoma patients (8.5% vs 1.6-4.1%). AC-LVD was 4.6 times (95% CI 1.2-17.1, p=0.02) more likely in patients with a mean age >70 (vs <70). 21 definitions for AC-LVD were used across the studies. The most common definition (15 studies; n=7904) was "any decline in LVEF from baseline" resulting in a 5.8% rate of AC-LVD. Conclusions AC-LVD and AC-CHF has been reported in up to 10% and 3% of AC recipients, respectively. AC-CHF related mortality occurs in <1% of anthracycline recipients and has a 2-3% share in overall mortality among these patients. The type of malignancy and anthracycline can influence the rate of AC-LVD, AC-CHF and AC-CHF related mortality. Global region, age of the patient population and study design also seem to influence incidence rates. There is noteworthy heterogeneity in definitions for cardiotoxicity across studies.

Background: Hormone receptor (HR)–negative, HER2-positive (also called HER2-enriched) breast cancer has no worse prognosis than other breast cancers if it is treated with HER2-targeted therapy. Medicaid expansion under the Affordable Care Act (ACA) has been shown to be associated with improved access to care and outcomes for many cancers, but its association with receipt of care for HR-negative, HER2-positive breast cancer is unknown. We examined the association of Medicaid expansion with receipt of guideline-concordant treatment, time to treatment initiation, and survival among nonelderly women newly diagnosed with HR-negative, HER2-positive breast cancer. Patients and Methods: Women aged 18 to 62 years newly diagnosed with HR-negative, HER2-positive breast cancer between 2010 and 2018 were identified from the National Cancer Database. Outcomes included receipt of stage-based guideline-concordant treatment, timely initiation of treatment (<30 days, <60 days, <90 days from diagnosis), and stage-specific 2-year overall survival. A difference-in-differences (DID) analytic approach compared outcome changes following Medicaid expansion in expansion versus nonexpansion states. Multivariable linear probability models were used to estimate treatment outcomes, and flexible parametric survival models were used to evaluate survival, adjusting for sociodemographic and clinical confounders. Results: A total of 31,401 patients were included. Medicaid expansion was associated with an increase of 0.58 percentage points (ppt; 95% CI, 0.01–1.16) in receipt of guideline-concordant treatment overall, a 2.43-ppt (95% CI, 0.68–4.18) increase in initiating guideline-concordant treatment <60 days after diagnosis, and a 1.17-ppt (95% CI, 0.02–2.32) increase in 2-year survival rate. The increase in 2-year survival associated with Medicaid expansion was most prominent for patients with stage III disease (DID, 3.81; 95% CI, 0.82–6.80). Conclusions: Medicaid expansion was associated with improved care and survival for patients with HR-negative, HER2-positive breast cancer, an aggressive cancer type for which prognosis largely depends on access to effective treatment.

Abstract Purpose: Chemotherapy-induced peripheral neuropathy (CIPN) is a debilitating toxicity of many drugs used in cancer treatment. There are numerous available strategies for preventing or treating CIPN, but few are guideline-recommended, due to limited evidence of their effectiveness. The primary objective of this survey was to understand what strategies patients used to prevent or treat CIPN, and to understand their perceptions around CIPN prevention and treatment. Methods: The Multinational Association of Supportive Care in Cancer (MASCC) Neurological Complications Study Group created a cross-sectional online survey to recruit individuals who are currently or had previously received neurotoxic chemotherapy treatment and self-reported peripheral neuropathy. Descriptive statistics were reported. Results: Most of the 447 survey participants did not use any CIPN prevention strategy (71%), though given options of any strategy the plurality preferred a prescribed medication or supplement (30%). The most common treatment strategy used was exercise (47%), with some patients trying prescription medications including non-guideline recommended gabapentin (33%) or guideline-recommended duloxetine (8%) options. Nearly half of participants (49%) used at least one non-prescribed medication for treating CIPN. Patient’s often followed suggestions of their medical oncology clinical team, but sometimes relied on the internet or other patients to recommend non-prescription strategies. Conclusion: In the absence of many guideline-recommended strategies for CIPN prevention and treatment, some patients use options with minimal evidence of effectiveness. Additional research is needed to determine which strategies are effective for prevention and treatment so these can be implemented in practice to improve treatment outcomes in patients with cancer.

Abstract Disclosure: M.D. Hurtado: None. E. Tama: None. D. Hodge: None. A. Weston: None. S. Fahad: None. K. Ruddy: None. J. Olson: None. F. Coach: None. R. Carter: None. S. D'Andre: None. A. Acosta: Consulting Fee; Self; Amgen Inc. Grant Recipient; Self; Vivus USA, Novo Nordisk. C. Shufelt: None. Background: Breast cancer (BC) is the most common cancer in women. Weight gain after treatment for early-stage BC is associated with a higher risk of recurrence. Excess adiposity is also a major risk factor for cardiovascular disease, the leading cause of non-BC related death in BC survivors. This study aimed to describe weight trends in a large cohort of BC survivors and to identify predictors of weight gain after BC diagnosis. Methods: This was a retrospective study of BC survivors from the prospectively consented Mayo Clinic Breast Cancer Registry, which has enrolled &gt;10,000 patients seen at least once at Mayo Clinic Rochester for a BC diagnosed within the prior year. We extracted data on weights at baseline, and years 1, 4, and 6 after BC diagnosis to generate longitudinal weight trajectory curves on the change from baseline. Weights were either reported by patients in the registry questionnaires or extracted from the electronic health records. We identified BC survivors with weight gain &gt;10% from baseline weight at years 1, 4, and 6. We then conducted univariable logistic regression analyses to identify predictors of &gt;10% weight gain. Variables considered included: demographics, anthropometrics, BC clinical and pathologic characteristics, BRCA 1 and 2 genetic mutation status, and treatment (surgery, neoadjuvant or adjuvant chemotherapy, and/or radiotherapy). Results: We included 4744 BC survivors, mostly white (95%) and non-Hispanic (91%), with a mean age and weight at BC diagnosis of 58 ± 13 years and 76 ± 18 kg. Most patients had clinical stage I (43%) and ER+ and PR+ BC (83% and 76%, respectively). Most patients underwent breast preserving surgery (62%), half received radiation (54%), one third (36%) received systemic chemotherapy, and two thirds (61%) received endocrine therapy. At one year after BC diagnosis the average weight change was negligible compared to baseline (mean difference -0.2 ± 8 kg), but there were small but significant average increases by years 4 and 6 (0.5 ± 9 kg, p=0.002; and 0.8 ± 10 kg, p&lt;0.001; respectively). At years 1, 4, and 6, the percentage of BC survivors gaining &gt;10% of their baseline weight was 10%, 15%, and 18%, respectively. Baseline characteristics associated with &gt;10% weight gain at 6 years included lower baseline weight (p&lt;0.001), younger age at BC diagnosis (p&lt;0.001), more advanced clinical and pathologic BC stage (p=0.008), ER+ and PR+ tumor biology (p=0.02 for both), BRCA2 mutation (p&lt;0.001), mastectomy (compared to breast preserving surgeries, p=0.008), the use of systemic chemotherapy treatment (p&lt;0.001), and the use of endocrine therapy (p=0.03). Conclusion: While most BC survivors do not experience weight gain after survivorship, 1 out 5 may experience excessive weight gain of more than 10%. Baseline anthropometric and BC-related variables are associated with excessive weight gain and could be used as predictors of weight gain in this population. Presentation: 6/3/2024

363 Background: The incidence of BC in young adults is increasing; given their extended survivorship, characterizing healthcare utilization and adherence to surveillance guidelines can inform unmet health needs and gaps in care. Methods: The multi-center Young Women’s BC Cohort Study enrolled 1302 women ≤40 yrs with newly diagnosed (dx) BC from 2006-2016. Participants completed surveys every 6 mos for 3 yrs post-dx, then annually. The current analysis includes patients with Stage 0-III BC without recurrence who completed the 7-yr survey assessing survivorship care, including types of providers visited, BC surveillance, and other health maintenance practices. Multivariate logistic regression evaluated factors (clinical, demographics, concern about recurrence) associated with 1) full transition to a primary care provider (PCP) for follow-up; adherence to 2) mammography (among women who had a unilateral mastectomy or lumpectomy) and 3) bone density scans (among current hormonal therapy [HT] users), per ASCO/ACS guidelines. Results: Of 660 women with Stage 0-III BC, median age at dx was 37 (range: 17-40); 89% identified as White, 5%, Asian, 3%, Black, 3% as other/multiracial, and 4%, Hispanic. Most had received chemotherapy (75%) and radiation (61%) and 35% reported current HT; 12% had a BRCA1/2 mutation. For cancer-related follow-up, 57% reported seeing an oncology provider only, 12%, PCP only, and 29% saw a PCP + oncology provider. Among women with remaining breast(s) (n=348), 90% reported a mammogram in the last year. Adherence to other health maintenance practices varied: 68% reported having had a flu shot, 76% a pap test/pelvic exam, and 56% cholesterol screening within the last 2 yrs. Among current HT users (n=210), 46% reported a bone density scan within the last 2 yrs. In multivariate analyses assessing the odds of seeing a PCP only (vs. oncology + PCP), having stage 0 vs I disease (OR 2.74 95% CI 1.01-6.80) was associated with higher odds while any HT use (OR .31 95% CI .16-.58) and concern about recurrence (OR .23 95% CI .12-.47) were associated with lower odds. The table includes factors significantly associated with non-adherence to mammography and bone density scans. Conclusions: At 7-years post-dx, most young survivors participating in a cohort study receive cancer follow-up care from an oncology provider and have not fully transitioned their care to a PCP. Adherence to recommendations related to bone health among HT users was suboptimal. Additional research to identify barriers/facilitators to receipt of guideline-concordant follow-up care at the patient, provider, and systems levels may inform strategies to optimize survivorship in young BC survivors. Multivariable analysis: factors associated with non-adherence. MammogramOR 95% CI Bone density scanOR 95% CI Her2+ .38, .15 -.98 NS BRCA1/2 + 8.36, 1.38-50.47 .17, .05 -.62 Chemotherapy NS .22, .06 -.78 Unilateral mastectomy vs lumpectomy 6.64, 2.69-16.34 NS

271 Background: Many studies have shown that fatigue is associated with poor outcomes such as quality of life and physical function in breast cancer survivors.Early treatment of symptoms that result in persistent fatigue may be a strategy to mitigate long-term fatigue.As a result, we studied symptoms and developed risk estimates for patients that are most likely to develop fatigue by pre-surgery and follow up among patients treated on the I-SPY 2 neoadjuvant trial. I-SPY 2 is a phase-II adaptive trial for high-risk early-stage breast cancer patients. Methods: In this retrospective cohort study of 306 women undergoing neoadjuvant chemotherapy +/- targeted therapy, patients complete electronic surveys of symptoms via 34 PRO-CTCAE items and QOL via 9 PROMIS instruments. Fatigue is collected as part of the PROMIS survey and scored using Health Measures. Study timepoints are screening (SC), weekly study treatment (ST), 12 weeks (12w), pre-surgery (PS) and at 1, 6, 12 and 24 months (FU1-FU4) following surgery. Correlation between symptoms and fatigue at equal timepoints was quantified using spearman correlations and BH-adjusted p-values. For symptom odds analysis, symptoms were binarized such that those that had an average grade of mild or above (severity), rarely or above (frequency) or a little bit or above (interference) between ST weeks 1-6 were considered present. Clinically significant (CS) increase in fatigue was defined as an increase >=0.5 standard deviation (SD) in mean from baseline. Logistic regression was used to determine odds ratios of factors associated with fatigue. Results: Baseline PROMIS fatigue mean score was 47.14 (SD 9.31) with a median of 47.45. A CS increase in fatigue from baseline was seen in 55% of patients at 12w, and 61% of patients pre-surgery. Of the patients that had a CS increase in fatigue at any point prior to surgery, 45.7% had persistent fatigue through FU1-4. Symptoms associated with Fatigue at 12w were shortness of breath, headache, and nausea (P< 0.03). At PS, fatigue was significantly correlated with GI symptoms, neuropathy, and shortness of breath (P< 0.03). Risk estimates for patients that filled out symptom surveys at early timepoints (weeks 1-6) and also had fatigue were evaluated. Patients with early GU (genitourinary) symptoms had higher risk of fatigue at IR (OR=9.33, p=0.02, 88.9% in cases vs 33.3% in controls). Patients with early GI symptoms at PS (OR=8.56, p=0.03, 90.1% vs 50%), or FU2-4 (OR= 5.88 and 7.36, p= 0.04 and 0.02, 80% vs 39.1% and 81.8% vs 36.3%) also had a higher risk of developing fatigue. Conclusions: A CS increase in fatigue during treatment and follow up is seen in the majority of patients and is associated with a large number of persistent symptoms.

ABSTRACTBackgroundFollowing breast cancer (BC), many young women are interested in future childbearing and some may wish to breastfeed. However, limited information is available regarding their lactation experiences.MethodsParticipants in the Young Women's Breast Cancer Study, a multicenter, prospective cohort study of women ≤40 years diagnosed with stage 0–III BC between 2006–2016 and who reported one or more live births following diagnosis, were surveyed about pregnancy and breastfeeding after BC treatment, including reasons for attempting and stopping breastfeeding, satisfaction, and supports.ResultsOf 143 eligible women sent a survey, 115 responded and 94 were included in the analytic cohort. Breastfeeding was attempted by 55% of women (52 of 94). Among those who had not attempted, 93% noted prior bilateral mastectomies (39 of 42). Among those who attempted breastfeeding, 69% had undergone lumpectomy and radiotherapy (36 of 52), 83% of whom reported no milk production from their treated breast (30 of 36). Most (65%, 34 of 52) were at least somewhat satisfied with their ability to breastfeed. Reasons for stopping breastfeeding included: having completed the planned duration (36%, 19 of 52); to start/resume endocrine therapy (21%, 11 of 52); and to resume breast imaging (8%, 4 of 52). Approximately half (27 of 55) of women who had not undergone bilateral mastectomies recalled receiving specific information about breastfeeding after BC, mostly from the oncology team (59%, 16 of 27), online resources (48%, 13 of 27), or a lactation consultant (44%, 12 of 27).ConclusionMost young BC survivors who attempted to breastfeed were able to and were satisfied with the experience, despite challenges. Specific resources to support BC survivors who wish to breastfeed are needed.

AbstractObjectivesTo report lessons from integrating the methods and perspectives of clinical informatics (CI) and implementation science (IS) in the context of Improving the Management of symPtoms during and following Cancer Treatment (IMPACT) Consortium pragmatic trials.Materials and MethodsIMPACT informaticists, trialists, and implementation scientists met to identify challenges and solutions by examining robust case examples from 3 Research Centers that are deploying systematic symptom assessment and management interventions via electronic health records (EHRs). Investigators discussed data collection and CI challenges, implementation strategies, and lessons learned.ResultsCI implementation strategies and EHRs systems were utilized to collect and act upon symptoms and impairments in functioning via electronic patient-reported outcomes (ePRO) captured in ambulatory oncology settings. Limited EHR functionality and data collection capabilities constrained the ability to address IS questions. Collecting ePRO data required significant planning and organizational champions adept at navigating ambiguity.DiscussionBringing together CI and IS perspectives offers critical opportunities for monitoring and managing cancer symptoms via ePROs. Discussions between CI and IS researchers identified and addressed gaps between applied informatics implementation and theory-based IS trial and evaluation methods. The use of common terminology may foster shared mental models between CI and IS communities to enhance EHR design to more effectively facilitate ePRO implementation and clinical responses.ConclusionImplementation of ePROs in ambulatory oncology clinics benefits from common understanding of the concepts, lexicon, and incentives between CI implementers and IS researchers to facilitate and measure the results of implementation efforts.