Correia, Guilherme Sacchi de Camargo

e13677 Background: The development of AI led to the emergence of tools such as AIS, which have been increasingly adopted in medicine. However, formal evaluation of barriers and clinical care gaps in HemOnc is limited, particularly regarding treatment plan complexities and toxicity documentation. Methods: Structured investigator-developed surveys about AIS availability, adoption, benefits, and challenges were developed on Qualtrics and approved by the IRB. HemOnc faculty physicians (FP), advanced practice providers (APP), and trainees (HOT) were surveyed between 11/14/25-1/16/26. Surveys were distributed in the USA via email, social media (on X), and ASCO myConnection. Descriptive statistics were used for analysis. Results: 132 participants responded to the survey: 55 FP (42%), 14 APP (11%), and 63 HOT (48%). 80% of them reported having AIS at their institutions, and 54% of those reported using these tools in their clinical practice. Among FP and APP, 72% practiced in academic settings, 14% in community, and 13% in hybrid centers. Among those not using AIS, identified barriers were issues with note formatting (56%), lack of training (25%), and concerns that the note content is incorrect or inadequate (25%). 60% are willing to use AIS if note formatting matched their preference, and 42% would try it if contents better reflected the patient encounter. Table 1 details the proportion of encounters using AIS, the portion of documentation it was used for, and the perceived challenges with these tools. Among AIS users, the average satisfaction score was 5.3 on a 7 point scale, corresponding to participants being somewhat satisfied. Participants agreed slightly that AIS had reduced their feeling of work-related burnout, with an average score of 3.6 on a 5 point scale. Overall, participants felt neutral about how well-suited AIS are for HemOnc, with an average score of 4.0 on a 7 point scale. Conclusions: Despite AIS being widely available, 46% of the surveyed HemOnc workforce do not use them in clinical practice. Those who do reported decreased time spent on documentation outside work hours and a slight reduction in the feeling of burnout. Formatting issues and record integration remain barriers, with substantial concerns about AIS not adequately describing HemOnc treatment plans. To bridge the last mile of integration into HemOnc, partnership between AIS developers and the clinical workforce is essential to meet clinical needs, while prioritizing patient safety and data privacy. FP + APP % HOT % Patient encounters where AIS is used 62 44 Used AIS for the subjective portion of note 68 96 Used AIS for the assessment/plan portions of note 40 25 AIS decreased the time on clinical documentation outside work hours 96 93 AIS note formatting needs improvement 68 57 Issues integrating AIS and outside records 46 71 AIS note contents about the plan are suboptimal 32 61

9030 Background: AI use is ubiquitous among HOT and healthcare workers, but with variable base knowledge and comfort level. Its indiscriminate use may be problematic. To address this educational gap, we developed a WS for HOT to assess their use of AI and educate them on how to employ it in MedEd and patient-centered CP based on LSP. Methods: A faculty member developed a WS on how to use AI in MedEd and CP based on LSP of analogy, contrasting cases, elaboration, generation, and question driven learning. The WS was for HOT, but faculty could join. It had 3 sections: introduction to basic concepts of AI; principles of the Health Insurance Portability and Accountability Act and protected health information; AI in MedEd; and AI in CP. Sections had real use case examples of AI, for participants to interact, ask questions, and share their personal use cases. HOT were invited to compare and generate examples during the WS, based on their educational and clinical experience and needs. Participants’ AI use and self-perceived and objective knowledge about it were assessed in a pre activity survey, a post WS survey, and a post 8 week survey to evaluate long term learning. Results: A 2 hour WS with 9 HOT and 2 faculty was completed successfully. 10 participants completed the pre WS survey, and 11 completed the post WS and the post 8 week surveys. 100% of them used generative AI tools before the WS, while 10% had prior training in AI. 90% used AI in personal life and MedEd, 70% used it in CP, and 30% in academic research. Table 1 shows participants’ self-assessed knowledge of AI, comfort level in using AI for MedEd and CP, self-assessed preparedness to implement AI in MedEd and CP, and objective knowledge. 8 weeks post WS, 91% of participants reported increased AI use in CP, leading anywhere from slight to significant decreases in time spent on documentation tasks for 91% of them. In MedEd, 73% reported increased AI use, and 82% described slight to significant improvement in the quality of time dedicated to it. 82% described the WS as extremely relevant to their daily responsibilities, and 91% reported confidence navigating ethical and privacy risks of AI in HemOnc. All participants were interested in having a similar WS in the future. Conclusions: An LSP based WS about AI increased the self-perceived and objective knowledge of HOT about using this tool in MedEd and CP. It also increased HOT comfort level, preparedness, and efficiency using AI. With the ubiquitous use of AI by HOT, ongoing education about it focused on supporting high-quality patient care should be a part of fellowship curriculum. Pre WS % Post WS % Post 8 week % Moderately/Very knowledgeable about AI 50 91 100 Comfortable using AI in MedEd 60 82 82 Prepared to implement AI in MedEd 30 91 73 Comfortable using AI in CP 40 73 82 Prepared to implement AI in CP 0 91 73 Correct answers on objective assessment 53 68 71

PURPOSE Artificial intelligence (AI) has been rapidly evolving in medicine. While there are existing data about the perceptions and concerns of health care workers regarding AI, those of the hematology and oncology (HemOnc) workforce remain unknown. We assessed opinions of physicians (faculty and fellows), advanced practice providers (APPs), and nurses in HemOnc on integrating AI in medical education (MedEd) and clinical practice (CP). METHODS Group-specific electronic surveys were developed. The HemOnc workforce from the three Mayo Clinic sites was invited to participate. Participation was anonymous, with data collection between November 7, 2024, and January 20, 2025. Results were reported as proportions, with 95% binomial CI when appropriate. RESULTS A total of 344 participants responded, 118 physicians (77 faculty, 41 fellows), 49 APPs, and 177 nurses. Most had used AI although less than half felt very or moderately knowledgeable about it. A total of 95% of fellows, 97% of faculty physicians, 96% of APP, and 92% of nurses believe that AI will be integrated in MedEd. A total of 94% of physicians and 88% of nonphysicians believe that this integration would be beneficial. In CP, 98% of fellows, 96% of faculty physicians, 100% of APPs, and 92% of nurses believe in AI's integration. However, 51% of physicians and 68% of nonphysicians had some concerns, including technology time, medical costs, and burnout. Nonetheless, 85% of fellows, 94% of faculty physicians, 98% of APPs, and 86% of nurses would embrace AI. CONCLUSION The majority of this single health system HemOnc's workforce endorsed AI integration into MedEd and CP but highlighted relevant concerns. Proper education, effective partnership among all stakeholders, and well-organized integration are essential for optimizing AI's incorporation into HemOnc's MedEd and CP and ensuring that it fully supports the mission of providing high-quality patient care.

Abstract Introduction: Clinical outcomes for patients (pts) with Philadelphia chromosome positive (Ph+) B-cell precursor Acute Lymphoblastic Leukemia (B-ALL) have significantly improved with the incorporation of tyrosine kinase inhibitors (TKI) and immunotherapy. Although the incidence of central nervous system (CNS) relapse in Ph+ B-ALL is rare, it has become an emerging challenge with chemotherapy-free approaches. While IKZF1, CDKN2A/B and emergence of T315I kinase domain mutations in ABL1 have been associated with worse outcomes (Foà R, JCO, 2024),further characterization of patients with CNS relapse could prove useful in risk stratification and optimizing treatment intensification. Currently, high white blood cell count (WBC) is being assessed as a marker to identify pts who may benefit from addition of CNS penetrant chemotherapy (ex. cytarabine or high-dose methotrexate (HD-MTX)) to TKI and immunotherapy protocols (Short NJ, J Hematol Oncol, 2025). Methods This is a multicenter retrospective study of relapsed/refractory Ph+ B-ALL pts under the COMMAND consortium. Age, gender, induction regimen and TKI of choice during induction were descriptively reported for the entire cohort. Categorical variables were compared, using Fisher's exact test, between pts with CNS relapse and pts with systemic relapse. Variables of interest were the presence of IKZF1 or CDKN2A/B alterations, emergence of T3151 mutation, CNS disease at diagnosis (dx), WBC >70K/microliter at dx, use of high-dose methotrexate (HD-MTX) during induction or consolidation, and use of TKI as part of the induction regimen. Odds ratio (OR) and 95% confidence intervals (CI) were reported for each variable. Results A total of 654 Ph+ B-ALL pts were initially identified across multiple centers in the United States, of whom 20 (3%) experienced a CNS relapse and 157 (24%) experienced a systemic relapse on median follow up of 29 months (range, 0-207). A total of 15 pts with CNS relapse and 114 pts with systemic relapse were used for this analysis after exclusion of pts without molecular data. The median age for the 129 pt cohort was 55 years (range 22-85), of whom 65 pts (50%) were male. Induction regimens used were intensive chemotherapy (IC)+TKI for 79 pts (61%), low-intensity chemotherapy or steroids (LDC-S)+TKI for 40 pts (31%), IC without TKI during induction for 5 pts (4%) and blinatumomab+TKI for 1 pt (1%). TKI of choice during induction included second-generation TKIs (dasatinib, nilotinib) for 77 pts (60%), imatinib for 30 pts (23%), ponatinib for 15 pts (12%) and none during induction for 5 pts (4%). CNS disease at dx was found in 6/15 pts (40%) with CNS relapse and 9/114 pts (8%) with systemic relapse, which was a statistically significant difference (p=0.002, OR= 7.57, 95% CI= 1.81 - 31.08). The systemic treatment regimens for the 15 pts with CNS disease at x were IC+TKI for 10 pts (66%) and LDC-S+TKI for 5 pts (33%), 9 of the pts (60%) received HD-MTX during induction. Intrathecal (IT) chemotherapy administration data at dx was available for 8 pts (53%) with CNS disease at dx, of whom 2 pts received <9 doses, 4 pts received 9-12 doses and 2 pts received >12 doses of IT chemotherapy. Although not statistically significant, pts with CNS relapse were more likely to have IKZF1 or CDKN2A/B alterations (p = 0.648, OR= 1.44, 95% CI= 0.14-7.78), WBC >70K/mcl (p = 0.472, OR= 1.73, 95% CI= 0.34-7.41), emergence of T3151 mutations (p = 0.123, OR= 2.54, 95% CI= 0.72-8.84) and use of HD-MTX during induction or consolidation (p = 0.262, OR= 2.15, 95% CI= 0.61-8.61); while they were less likely to have received a TKI during induction (p = 0.106, OR= 0.18, 95% CI= 0.02-2.34). Conclusion This data confirms that the presence of CNS disease at dx is associated with CNS relapse. Despite recent incorporation into clinical trials, WBC≥70K/mcl and omission of HD-MTX were not seen more frequently in pts with CNS relapse in this cohort. However, this analysis is limited by the small number of pts who experienced CNS relapse. With the rising use of chemotherapy-free regimens, prospectively trialing treatment intensification, such as with additional IT chemotherapy or HD-MTX, could be prospectively trialed in pts with CNS disease at dx to potentially improve outcomes for this subset of pts. The impact of increasing IT chemotherapy doses or additional cycles of systemic chemotherapy in this pt population is yet to be elucidated.

8545 Background: Brain metastases (BM) correlate with poor prognosis, occurring in 10% of non-small cell lung cancer (NSCLC) patients (pts) at diagnosis and up to 40% over the disease course. Immunotherapy (IO) with or without chemotherapy has become the new standard of care for stage IV NSCLC. However, the survival benefit of IO in pts with BM remains unclear as most studies are limited to small sample sizes or highly selected pts with asymptomatic or treated BMs. This study represents the largest real-world data analysis evaluating the survival benefits of IO in stage IV NSCLC pts with BM. Methods: Demographics, clinical features, and survival were analyzed in stage IV NSCLC pts with BM from the National Cancer Database (NCDB) from 2014-2020. A multivariate Cox proportional hazards modeling assessed factors impacting mortality. Results: Of 204,249 pts with stage IV NSCLC, 30% had BM. The mean age was 68 years, with 54% male. Most pts were White (82%), followed by Black (12%) and Asian (3.1%). Government insurance covered 70% of pts, and 26% had private insurance. Adenocarcinoma was the predominant histology (62%), followed by squamous cell carcinoma (SCC) (20%). Liver and bone metastases were observed in 19% and 42% of pts, respectively. Among pts with BM, 18% received immunotherapy, 53% received chemotherapy, 66% received whole-brain radiation, and 18% received limited-brain radiation. Multivariate Cox analysis showed that pts receiving IO had a 46% lower mortality risk compared to not receiving IO (HR: 0.54, 95% CI: 0.51–0.56, p < 0.001), demonstrating the independent benefit of IO in pts with BM, regardless of brain radiation or chemotherapy. Females had a lower mortality risk than males (HR: 0.88, 95% CI: 0.85–0.91, p < 0.001). Asian (HR: 0.71, 95% CI: 0.64–0.79), Hispanic (HR: 0.76, 95% CI: 0.65–0.89), and Black pts (HR: 0.88, 95% CI: 0.84–0.93) had improved survival as compared to White. Pts with private insurance have lower mortality risk (HR: 0.94, 95% CI: 0.90–0.98), compared to lack of insurance (HR: 1.19, 95% CI: 1.08–1.31). SCC was linked to worse survival (HR: 1.28, 95% CI: 1.22–1.35). Conclusions: IO significantly improves survival in pts with NSCLC with BM, regardless of brain radiation therapy or chemotherapy. However, survival disparities based on histology, insurance status, and demographic factors persist, highlighting the need for more equitable treatment strategies.

9029 Background: Addressing guideline concordant FP and TPP with cancer is challenging, especially for OT. SIM, a well-known education tool, has not been traditionally used to teach these topics. As part of the hematology/oncology fellowship curriculum, we designed a SIM applying LSP to bridge this educational gap. Methods: Applying LSP of contrasting cases, elaboration, feedback, generation and just-in-time telling, chief OTs and faculty designed a SIM with 3 clinical scenarios (CS) and 3 standardized pts (SP): FP for a female pt hospitalized for acute lymphoblastic leukemia tx, FP for a male pt in clinic for germ cell tumor tx, and breast cancer tx for a pregnant pt in 2 nd trimester. OT received written educational materials (WEM) and attended a lecture 1 week and 1 day pre SIM, respectively. OT were split into 2 groups; 1 started in the FP CS and 1 in the TPP CS, and then they switched. To reduce cognitive overload, each OT participated in 1 of 2 FP CS: half in the female FP CS and half in the male. Faculty and chiefs led debriefing sessions after all CS. The FP debrief ended with a special “learner as a teacher” part, where OT who attended the female CS taught those from the male CS about their topic and vice versa. The SIM concluded with "take-home" points. Pre (after having WEM) and post SIM anonymous surveys and verbal feedback assessed OT comfort, perceptions, and knowledge. Results: A 3 hour SIM with 14 OT and 5 faculty was completed successfully. SIM ended with all OT verbally sharing a learning point and positive feedback. All OT filled pre and post SIM surveys. Pre SIM, 17% reported having prior FP education, and 42% had prior TPP education. However, only 8% and 25% felt adequately prepared for FP and TPP discussions, respectively. Post SIM survey showed major improvement in comfort and knowledge about FP and TPP (see table 1). 75% of OT favored a combination of SIM and learning by teaching over other SIM formats. 83% supported having a TPP lecture before SIM. 100% reported satisfaction with FP and TPP SIM’s quality and wanted similar activities in the future. 92% were satisfied with the learner as a teacher tool. 100% felt education about FP and TPP with cancer should be part of fellowship training. Moral/cultural concerns were discussed as possible challenges in FP education. Conclusions: The application of LSP through SIM significantly increased OTs’ comfort discussing FP and TPP with cancer, and objectively enhanced their knowledge on these topics compared to after reading WEM. The SIM was largely perceived as a successful activity to educate about challenging topics and should become part of fellowship curriculum. Pre SIM % Post SIM % Comfortable addressing FP 17 92 Comfortable addressing TPP 8 100 Correct answers about female FP 63 83 Correct answers about male FP 67 94 Correct answers about TPP with cancer 68 98

9002 Background: The field of AI is rapidly evolving. With recent development of more user-friendly AI software, its integration into healthcare across different medical specialties, including HemOnc has emerged. Data detailing the perception and concerns of the HemOnc workforce about AI’s roles is lacking and is needed if AI is to be integrated in HemOnc CliPr and MedEd. Methods: Questionnaires about the perception and concerns regarding AI in CliPr and MedEd were created on REDCap and approved by IRB. We surveyed the entire HemOnc workforce at the 3 Mayo Clinic major sites between 11/07/24 and 01/20/25, including physicians, both faculty (FAC) and fellows (FEL), advanced practice providers (APP), and nurses (RN). Participation was voluntary. Simple statistical analyses were employed for the results. Results: 344 participants (PTP) responded to the survey, 118 physicians (41 FEL and 77 FAC), 49 APP, and 177 RN. 64% of PTP report having used AI but only 31% used it in HemOnc MedEd, and 28% in HemOnc CliPr, with 67% considering themselves to have little to no knowledge about AI. 94% of PTP believe AI will be integrated in HemOnc MedEd, with such integration being seen as beneficial by 90%. Among physicians, 85% of FEL and 92% of FAC report that fellowship programs should incorporate AI training into curricula. 95% of PTP believe AI will be incorporated into HemOnc CliPr. Meanwhile, 62% of PTP (50.8% of physicians, and 68% of APP and RN) are concerned about risks it may pose to CliPr. Nevertheless, 90% of PTP would embrace AI’s use in HemOnc. Table 1 details the perceptions and concerns about AI in HemOnc MedEd and CliPr. The main perceived risks are decreased time spent with patients (pts), and inaccuracies or worse pt care. Meanwhile, 33% believe AI would increase efficiency and quality of care, while 30% believe it would increase time spent with pts. 14% of PTP worry their role could be replaced by AI. Conclusions: To the best of our knowledge, this is the largest assessment of HemOnc workforce’s perception and concerns about AI. Based on our survey, the HemOnc workforce, in general, endorses AI use, but with some concerns raised. While incorporation in MedEd is perceived with excitement, many envision the use in CliPr involves risks and challenges. Proper systematic education of the workforce about AI, with well-designed CliPr integration methods are needed to mitigate the legitimate existing concerns. Perceptions & concerns about AI in HemOnc MedEd & CliPr. FEL % APP % RN % FAC % AI will assist documentation in CliPr 98 82 79 92 AI will be used in pt communication 73 80 78 87 AI will screen pts for clinical trial enrollment 85 86 76 96 AI will increase the efficiency and quality of CliPr 43 37 24 46 AI will increase time spent with pts 39 27 25 38 AI will decrease time spent with pts 29 41 48 23 AI will lead to inaccuracies or worse CliPr 12 20 25 20 AI may replace the HemOnc workforce 11 16 19 5

e16610 Background: Adrenocortical carcinoma (ACC) is a rare malignancy with an incidence of 1-2 per million per year. The optimal treatment remains unclear as does the benefit of chemotherapy (chemo) in patients (pts) with resectable ACC. Methods: The SEER database (2000–2021) was used to identify ACC pts > 18 years. Variables of interest included age, race, household income, rural-urban classification, stage, chemo, radiation therapy (RT), and surgery. Statistical analyses were conducted using ANOVA, Kruskal-Wallis, and Kaplan-Meier methods to compare survival outcomes according to variables of interest. Results: Of the 2,598 pts identified, 1,564 (60%) were female. The majority of pts (85%) were white, followed by black (9%). Most pts (87%) resided in metropolitan areas. Pts with localized, regional, or distant metastatic disease comprised 25%, 17% and 36% of the group, respectively. 40% of pts underwent radical or total surgical removal of the primary site disease while 9%, 2%, and 1% underwent partial surgical removal, excision, or debulking surgery, respectively, and 30% did not undergo surgery. 34% of pts received chemo and 8% received RT. The median overall survival (mOS) for the entire cohort was 15 months (m) (95% CI: 14–17 m). No significant differences in OS were observed among pts of different races or household incomes. Distant metastatic disease was significantly associated with worse mortality when compared with regional or localized diseases (mOS: 5 m vs. 20 m vs 60.6 m, respectively, p < 0.001). Surgical intervention of any kind was associated with longer survival when compared to those who did not undergo surgery (18 m vs. 3 m, HR 0.33, p < 0.0001). Among the 971 pts with distant metastatic disease, pts who received chemo had a superior mOS compared to those who did not receive chemo or with unknown chemo status (8 m vs. 2 m, p < 0.0001). This OS advantage remained significant even after excluding pts who underwent surgery (5 m vs. 2 m, p < 0.0001). While chemo was also associated with longer mOS (29 m vs. 27 m, p < 0.0001) in localized disease, this survival advantage was not present in pts with localized disease managed with surgery (27 m vs. 27 m, p = 0.061). Although chemo was associated with numerically longer mOS in pts with regional disease, the difference was not significant. Conclusions: ACC with distant metastatic disease carries a poor prognosis yet demonstrates superior survival in pts who receive chemo. Surgery is associated with better survival outcomes, but there is no additive benefit from chemo in those with localized disease managed with surgical resection.

e20141 Background: TET are rare and challenging entities in clinical practice. Prospective trials in thymoma and thymic carcinoma (TC) are scarce. Limited number of small trials investigated the role of ICI in TET, and showed some clinical efficacy, but also with immune related adverse events (irAE). Guidelines list ICI as a treatment option in the 2 nd line, although no FDA approval was granted. Aside from the small trials, there is limited real world data about the efficacy and toxicity of ICI in TET. Methods: We performed a retrospective chart review of the medical records of all patients (pts) with TET who were treated with ICI between 3/25/2011 and 11/30/2024 at 5 Mayo Clinic sites. We collected data about baseline characteristics, diagnosis, irAE, and outcomes. Kaplan-Meier method was used to calculate median progression free survival (mPFS), and hazard ratio (HR) with Cox proportional hazards regression. Results: 30 pts were included, 28 diagnosed with TC, and 2 with malignant thymoma. 70% of pts were male. Median age at time of diagnosis was 61 years (range: 15 to 82), and median ECOG at the time of diagnosis was 0. 29 pts received Pembrolizumab, and one received Durvalumab. Prior to ICI, 86.67% of patients received chemotherapy. 70% of pts discontinued ICI use, 60% due to progression, and 10% due to irAE. Overall response rate (ORR) was 23.33%, with 3.33% complete response, and 20% partial response. Disease control rate (DCR) was 63.33%. The mPFS was 10.13 months. At the time of analysis 60% of pts were still alive. 40% of patients had irAE. While the two patients with thymoma experienced irAE, only 33.33% of those with TC had these events. 26.67% of pts had thyroiditis. Pancreatitis, pneumonitis, dermatitis, and encephalitis each occurred in 3.33% of pts. The median time to irAE onset was 75 days. 25% of irAE were grade 1, 66.67% grade 2, 0% grade 3, and 8.33% grade 4, represented by the case of encephalitis. Resolution of irAE occurred in 33.33% of cases. When stratified according to the occurrence of irAE, the mPFS was the same in both groups, with or without irAE, being 10.13 months, HR=0.99 (95% CI 0.39 – 2.54). Conclusions: In this real-world cohort of pts with TET, efficacy of ICI matched what has been previously reported, with similar ORR and DCR, but with longer mPFS. However, irAE incidence was higher, but with less grade 3/4 events. Differently than what has been suggested in other diseases, irAE occurrence did not correlate with better outcomes. These results validate the role of ICI in the treatment of TET, especially TC. Nonetheless, improving patient selection, and developing other therapeutic strategies, including combinations of ICI and other drugs, for these malignancies remain essential. Importantly, the high incidence of irAE indicates that future investigations must also focus on safety of interventions and supportive care in TET.

In the rapidly evolving field of oncology, education and knowledge sharing have become essential aspects of oncology practice and must-needed tools to help patients conquer cancer. Oncology education is an art that needs to be mastered by applying scientific learning methods through structured frameworks into it, in order to have an impact. To effectively educate and share knowledge with oncology professionals, we propose following a “chain of education”. This chain consists of five links that are essential for creating a successful educational activity: “who”, “why”, “where”, “what”, and “how”. By following the “chain of education” through all links leading to the final key of how to educate, and guided by learning science principles, educators can optimize and enhance their teaching and knowledge-sharing skills and educate learners with more impact. Two common scenarios of medical education in oncology are the education of trainees and the education of community oncologists. In this article, we review them through the prism of the “chain of education”. We discuss how using effective learning science principles can guide small changes that lead to significant impacts in trainees' education and can also leverage social media platforms in the education of community oncologists. Alongside this described framework, we briefly review some available oncology education resources, and we discuss incorporating the “chain of education” into future technologies.