Citations

Abstract Background: Identifying pts with HR-positive/HER2-negative breast cancer (BC) who benefit from adjuvant chemotherapy (ACT) has been a major research focus over the past 20 years. Development and clinical application of genomic classifiers such as the 21-gene recurrence score (RS) has contributed to the biologic understanding of BC and has refined pt selection for ACT. The TAILORx and RxPONDER clinical trials demonstrated that RS identifies many postmenopausal pts with node-negative and node-positive BC and RS < 25, who do not benefit from the addition of ACT to endocrine therapy (ET). However, both trials also showed that certain subsets of premenopausal pts (node-negative/high clinical risk/RS 16-20, node-negative/RS 21-25, and node-positive/RS < 25) benefited from the addition of ACT to ET. Most premenopausal pts in these two trials did not receive ovarian function suppression (OFS) as part of their ET regimen. Given the observed benefit from OFS in high-risk premenopausal pts with HR-positive/HER2-negative BC in the SOFT and TEXT trials, many questioned whether all or part of the observed ACT benefit in the TAILORx/RxPONDER trials may have been the result of chemotherapy-induced OFS. To address this question, OFSET is a Phase III, multicenter clinical trial evaluating the addition of ACT to OFS+ET vs. OFS+ET alone. Methods: We hypothesize that the addition of ACT to OFS+ET is superior to OFS+ET in improving invasive breast cancer-free survival (IBCFS) among premenopausal, early-stage BC pts with HR-positive/HER2-negative tumors, and a 21-gene RS between 16-25 (for pN0 pts) and 0-25 (for pN1 pts). Secondary objectives include invasive disease-free survival (IDFS), overall survival (OS), distant recurrence-free interval (DRFI), breast cancer-free interval (BCFI), and health-related quality of life (HRQOL). Eligible pts must be node-negative with RS 16-20 (plus high clinical risk), or RS 21-25, or have 1-3 positive nodes with RS < 25. Stratification is by nodal status/RS status (pN0 RS 16-25 vs pN1 RS 0-15 and pN1 RS 16-25), intent to receive CDK4/6 inhibitor (yes; no), and age (18-39 vs ≥40). Pts are randomized after surgery to either OFS+ET or ACT followed by OFS+ET. ET is an aromatase inhibitor per investigator discretion, but tamoxifen is allowed if pts do not tolerate the AI or if OFS is incomplete. Radiation therapy will be administered per investigator discretion according to protocol guidelines. The HRQOL sub-study will assess differences in severe menopausal symptoms, measured by the FACT ESS-19 score, between the arms, as well as increased pain severity (PROMIS) during ACT+OFS+ET compared to OFS+ET. Blood and tumor specimens will be collected for future research. The accrual of 3,960 pts is anticipated to be completed in seven years and seven mos. Based on data from NSABP B-28 and RxPONDER, the 5-year IBCFS of pN1 pts on the ACT+OFS+ET arm is estimated at 92.3%. Based on data from TAILORx, the 5-year IBCFS of pN0 pts on the ACT arm is ~95%. Assuming 56% of the pts to be pN0 and 44% pN1, a 0.5% annual loss-to-follow-up rate, the definitive analyses to detect a hazard ratio: 0.75 with ACT+OFS+ET vs. OFS+ET, with one-sided alpha of 0.025 and 80% power will require 380 IBCFS events, which are expected to occur ~11 years after study initiation. The OFSET study is expected to be activated in the third quarter of 2023. Current accrual (06-19-2023) is 0/3,960 Support: U10CA180868, U10CA180822, UG1CA189867, U24CA196067. NCT05879926. Citation Format: Eleftherios Mamounas, Gong Tang, Shannon Puhalla, Sandra Swain, Patricia Ganz, N. Lynn Henry, Reena Cecchini, Sonya Reid, Priya Rastogi, Charles Geyer, Julia White, Amy Clark, Tufia Haddad, Gregory Vidal, Norman Wolmark. NRG-BR009: Phase III Trial Evaluating Addition of Adjuvant Chemotherapy to Ovarian Function Suppression + Endocrine Therapy in Premenopausal Women with pN0-1, HR+/HER2- Breast Cancer and Oncotype Recurrence Score ≤25 (OFSET) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-19-02.

Abstract Background: SPPADE symptoms (Sleep disturbance, Pain, Physical function impairment, Anxiety, Depression/distress, and Energy deficits/fatigue) may result from cancer and its treatment. The aim of this analysis was to characterize SPPADE symptoms in patients with breast cancer. Methods. SPPADE data were drawn from the Enhanced, EHR-facilitated Cancer Symptom Control (E2C2) study, a stepped-wedge pragmatic cluster-randomized trial designed to evaluate a symptom management intervention in routine practice (NCT03892967). Symptom severity was measured on a 0-10 scale via a survey administered by patient portal, in-clinic tablet, or interactive voice response system (by phone) prior to, during, or soon after an outpatient oncology encounter. Scores of 4-6 were categorized as “moderate” and ≥7 as “severe.” In this analysis, only the data from each patient’s initial survey were included. Results. A total of 9,651 patients with breast cancer completed an initial E2C2 survey between March 2019 and January 2023. The proportion of patients with moderate or severe SPPADE symptoms were as follows: 22% moderate and 10% severe for insomnia; 18% moderate and 7% severe for pain; 17% moderate and 7% severe for anxiety; 15% moderate and 5% severe for emotional distress; 25% moderate and 12% severe for fatigue; and 22% moderate and 8% severe for impaired physical function. Table 1 presents score means and standard deviations by demographic subgroup. Conclusions. SPPADE symptoms are common in patients with breast cancer. These observations warrant routine implementation of symptom surveillance and management in breast oncology. Funding acknowledgement: The Improving the Management of symPtoms during And following Cancer Treatment (IMPACT) Consortium is a Cancer Moonshot Research Initiative under the authorization of the 2016 United States 21st Century Cures Act. This research was supported by the National Cancer Institute of the NIH, UM1CA233033 (Mayo Clinic, Rochester, MN). Insomnia, Pain, Anxiety, Distress, Fatigue, and Functional Impairment in Patients with Breast Cancer Citation Format: Kathryn Ruddy, Veronica Grzegorczyk, Deirdre Pachman, Sandra Mitchell, Bolun Liu, Deanne Smith, Ciara O'Sullivan, Shawna Ehlers, Jeph Herrin, Parvez Rahman, Andrea Cheville. Insomnia, Pain, Anxiety, Distress, Fatigue, and Functional Impairment in Patients with Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-12-09.

Abstract Purpose To report historical patterns of pharmaceutical expenditures, to identify factors that may influence future spending, and to predict growth in drug spending in 2024 in the United States, with a focus on the nonfederal hospital and clinic sectors. Methods Historical patterns were assessed by examining data on drug purchases from manufacturers using the IQVIA National Sales Perspectives database. Factors that may influence drug spending in hospitals and clinics in 2024 were reviewed—including new drug approvals, patent expirations, and potential new policies or legislation. Focused analyses were conducted for biosimilars, cancer drugs, endocrine drugs, generics, and specialty drugs. For nonfederal hospitals, clinics, and overall (all sectors), estimates of growth of pharmaceutical expenditures in 2024 were based on a combination of quantitative analyses and expert opinion. Results In 2023, overall pharmaceutical expenditures in the US grew 13.6% compared to 2022, for a total of $722.5 billion. Utilization (a 6.5% increase), new drugs (a 4.2% increase) and price (a 2.9% increase) drove this increase. Semaglutide was the top drug in 2023, followed by adalimumab and apixaban. Drug expenditures were $37.1 billion (a 1.1% decrease) and $135.7 billion (a 15.0% increase) in nonfederal hospitals and clinics, respectively. In clinics, increased utilization drove growth, with a small impact from price and new products. In nonfederal hospitals, a drop in utilization led the decrease in expenditures, with price and new drugs modestly contributing to growth in spending. Several new drugs that will influence spending are expected to be approved in 2024. Specialty, endocrine, and cancer drugs will continue to drive expenditures. Conclusion For 2024, we expect overall prescription drug spending to rise by 10.0% to 12.0%, whereas in clinics and hospitals we anticipate an 11.0% to 13.0% increase and a 0% to 2.0% increase, respectively, compared to 2023. These national estimates of future pharmaceutical expenditure growth may not be representative of any health system because of the myriad of local factors that influence actual spending.

Introduction: We validated the “Familial Hypercholesterolemia (FH) Decision Aid” to promote shared decision making (SDM) about lipid lowering therapy, based on patient-clinician encounters. Methods: Validation of the DA included an assessment of whether the content and design of the tool facilitated SDM and patient engagement and to determine how well the tool integrated with clinical workflow. Validation was conducted during patient-clinician encounters in the Mayo preventive cardiology clinic. As inclusion criteria we considered an upcoming appointment in the clinic, an LDL-C level ≥ ~160 mg/dL, and no prior diagnosis of FH. Prior to the encounters, each clinician viewed a demonstration of the online, interactive DA. During the encounters, the DA was shared with patients using the clinic room computer screen, either in-person or virtually. Patient-clinician encounters were video recorded for further analysis by two design researchers and experts in SDM. Results: Ten patients were enrolled in the study (7 male; average age 51 years). The average patient LDL-C level was 207 mg/dL, range 157 - 248 mg/dL. Review and qualitative analysis of the encounter recordings yielded 4 key findings: i) clinicians primarily used the cardiovascular risk estimate in the DA to guide conversation with patients; ii) highly trained specialists needed to change their usual approach to care and conversation to integrate the DA with their clinical workflows; iii) as clinicians became more familiar with the DA, they moved through the tool at a more efficient pace; and iv) each clinician developed his/her own style of navigating the DA, either moving through it one screen at a time or focusing on one specific section for the duration of the conversation. The DA effectively guided conversation and facilitated active patient engagement in 6 of 10 encounters. Social distancing and use of telemedicine encounters, due to the COVID-19 pandemic, limited patient engagement in 2 of 10 encounters. Overall, the DA promoted SDM regarding FH management in 9 of 10 encounters. Conclusion: Using patient-clinician encounters, we found the FH DA to facilitate SDM regarding lipid-lowering therapy. The tool has potential to improve care of FH patients and increase patient engagement and knowledge.

Brain arteriovenous malformations (bAVMs) are complex, and rare arteriovenous shunts that present with a wide range of signs and symptoms, with intracerebral hemorrhage being the most severe. Despite prior societal position statements, there is no consensus on the management of these lesions. ARISE (Aneurysm/bAVM/cSDH Roundtable Discussion With Industry and Stroke Experts) was convened to discuss evidence-based approaches and enhance our understanding of these complex lesions. ARISE identified the need to develop scales to predict the risk of rupture of bAVMs, and the use of common data elements to perform prospective registries and clinical studies. Additionally, the group underscored the need for comprehensive patient management with specialized centers with expertise in cranial and spinal microsurgery, neurological endovascular surgery, and stereotactic radiosurgery. The collection of prospective multicenter data and gross specimens was deemed essential for improving bAVM characterization, genetic evaluation, and phenotyping. Finally, bAVMs should be managed within a multidisciplinary framework, with clinical studies and research conducted collaboratively across multiple centers, harnessing the collective expertise and centralization of resources.

Peripartum cardiomyopathy (PPCM) is an idiopathic form of pregnancy-induced heart failure associated with preeclampsia. Circulating factors in late pregnancy are thought to contribute to both diseases, suggesting a common underlying pathophysiological process. However, what drives this process remains unclear. Using serum proteomics, we identified the senescence-associated secretory phenotype (SASP), a marker of cellular senescence associated with biological aging, as the most highly up-regulated pathway in young women with PPCM or preeclampsia. Placentas from women with preeclampsia displayed multiple markers of amplified senescence and tissue aging, as well as overall increased gene expression of 28 circulating proteins that contributed to SASP pathway enrichment in serum samples from patients with preeclampsia or PPCM. The most highly expressed placental SASP factor, activin A, was associated with cardiac dysfunction or heart failure severity in women with preeclampsia or PPCM. In a murine model of PPCM induced by cardiomyocyte-specific deletion of the gene encoding peroxisome proliferator–activated receptor γ coactivator-1α, inhibiting activin A signaling in the early postpartum period with a monoclonal antibody to the activin type II receptor improved heart function. In addition, attenuating placental senescence with the senolytic compound fisetin in late pregnancy improved cardiac function in these animals. These findings link senescence biology to cardiac dysfunction in pregnancy and help to elucidate the pathogenesis underlying cardiovascular diseases of pregnancy.

PURPOSE Patients diagnosed with advanced-stage Hodgkin lymphoma (aHL) have historically been risk-stratified using the International Prognostic Score (IPS). This study investigated if a machine learning (ML) approach could outperform existing models when it comes to predicting overall survival (OS) and progression-free survival (PFS). PATIENTS AND METHODS This study used patient data from the Danish National Lymphoma Register for model development (development cohort). The ML model was developed using stacking, which combines several predictive survival models (Cox proportional hazard, flexible parametric model, IPS, principal component, penalized regression) into a single model, and was compared with two versions of IPS (IPS-3 and IPS-7) and the newly developed aHL international prognostic index (A-HIPI). Internal model validation was performed using nested cross-validation, and external validation was performed using patient data from the Swedish Lymphoma Register and Cancer Registry of Norway (validation cohort). RESULTS In total, 707 and 760 patients with aHL were included in the development and validation cohorts, respectively. Examining model performance for OS in the development cohort, the concordance index (C-index) for the ML model, IPS-7, IPS-3, and A-HIPI was found to be 0.789, 0.608, 0.650, and 0.768, respectively. The corresponding estimates in the validation cohort were 0.749, 0.700, 0.663, and 0.741. For PFS, the ML model achieved the highest C-index in both cohorts (0.665 in the development cohort and 0.691 in the validation cohort). The time-varying AUCs for both the ML model and the A-HIPI were consistently higher in both cohorts compared with the IPS models within the first 5 years after diagnosis. CONCLUSION The new prognostic model for aHL on the basis of ML techniques demonstrated a substantial improvement compared with the IPS models, but yielded a limited improvement in predictive performance compared with the A-HIPI.

Abstract Background: We have previously reported that 177Lu-PSMA-617 given as a single-cycle, dose-intense regimen for patients (pts) with pretreated mCRPC is efficacious even without selection by PSMA (ESMO 2021). Quantitative analyses of pre-treatment PSMA PET may allow for better patient selection and prediction of toxicities. Analyses of sequential PET images may also provide insights that may be associated with longer term outcomes. Our previous analysis of 13 patients demonstrated association of PSMA PET signal with overall survival (OS) and PSA responses, as well as trends with adverse events (Nauseef GU ASCO 2022). Here we present long-term follow up data and expanded imaging correlatives from our completed phase I/II study. MethodsEntry criteria: progressive mCRPC after at least one prior potent AR pathway inhibitor and prior chemotherapy (excepting men ineligible for or refusing of chemotherapy) with allowance for prior radionuclides (incl. Ra223 and PSMA-TRTs). Treatment was fractionated-dose (D1 and D15) 177Lu-PSMA-617 (7.4-22.2 GBq). TRAQinform IQ (AIQ Solutions) was used to identify, track, and quantify regions of interest suspicious of cancer (lesion-ROI) on PSMA PET/CT images and quantify uptake in normal organs outside of lesion-ROI. Measurements included SUVmean across all lesion-ROI, volume of lesion-ROI, and SUVtotal (sum of SUV in all lesion-ROI), as well as changes after treatment, including in PSMA-expressing healthy tissues. Associations with survival were tested via Cox proportional hazard models in univariate analyses and associations with adverse events (AEs) and PSA responses were via assessed via Wilcoxon rank sum tests. Results32 pts (of 50 total in the study between 1/2017-2/2021) had pre- and post-treatment imaging suitable TRAQinform IQ analysis and associated survival analyses. Baseline characteristics were similar to the entire study cohort. PSA response of 50% was observed in 21/32 (66%) of which 16 were confirmed. No imaging variable predicted PSA30 or PSA50, although an association was observed in pretreatment SUVmean and lesion-ROI volume reduction. No imaging variable was significantly associated with OS (e.g., pretx SUVmean HR 0.9, p=0.10, pretx Volume HR 1.00, p=0.052). Pretx SUVmean was associated with mPFS (HR 0.85, 95% CI 0.74, 0.98, p=0.023). Among select AEs, anemia was associated with non-lesion-ROI skeleton SUVtotal in pre- (p=0.027) and post-tx (p=0.007). Higher pre-treatment salivary gland uptake (SUVmean) was associated with more xerostomia (p=0.11). Fatigue was associated with a variety of variables including salivary SUVs (mean, max, and total) and post-tx bowel SUVmax (p=0.030). ConclusionsPre-treatment and pre- to post-treatment 68Ga-PSMA11-PET data analyzed may be associated with outcome. While a strength of this study is the prospective nature of patient enrollment and fixed imaging timepoints, our associations are limited by small sample size. Expansion of this analysis to larger datasets may improve our ability to predict treatment response and toxicity by body-wide PSMA detection. Citation Format: Jones Trevor Nauseef, Charlene Thomas, Michael Sun, Nicole Jacobs, Andrés Ricaurte Fajardo, Sam Ruder, Escarleth Fernandez, Zachary Davidson, Amie Patel, A. Oliver Sartor, Shankar Vallabhajosula, Ana Molina, Cora N. Sternberg, David M. Nanus, Sandra Huicochea Castellanos, Joseph Osborne, Neil H. Bander, Timothy Perk, Scott Tagawa. Quantitative assessment of PSMA imaging before and after 177Lu-PSMA-617 treatment in a Ph I/II trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr CT225.