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5076 Background: C and Lu are both life-prolonging therapies for pts with mCRPC after progression on androgen receptor pathway inhibitor (ARPI) and docetaxel (D). Herein, our objective was to assess the comparative effectiveness of C vs. Lu in pts with mCRPC with prior progression on D and ARPI in real-world pts in the USA. Methods: A de-identified nationwide Flatiron Health electronic health record (EHR)-derived database was used to extract pt-level data. Eligibility: pts with mCRPC who progressed on D and ARPI and received for the first-time single-agent C or Lu. Pts who received alternative Lu or C in a later line of therapy (LOT) were excluded. Endpoints: real-world time to next therapy (rwTTNT) and real-world overall survival (rwOS). These were summarized via Kaplan-Meier survival estimates with a 95% confidence interval (CI) and compared in the context of propensity score (PS) matching weighted analysis using the Cox proportional hazard model. PS model included the following covariates: age, race-ethnicity, socioeconomic status, treatment year, Gleason score, ECOG performance status, log2PSA, alkaline phosphatase, hemoglobin, creatinine, LOT, insurance, and practice type. All the covariates achieved balance after PS matching weighting. Results: Among 24,105 pts with metastatic prostate cancer in the dataset, 1,445 met the eligibility criteria and were included (1,227 treated with C, 218 treated with Lu). In C cohort: median age was 73 (IQR 67 – 78), 66.9% had Gleason score ≥ 8, and median LOT was 4 (IQR 3-4). In Lu cohort: median age was 75 (IQR 67.25 – 80), 68.1% had Gleason score ≥ 8, and median LOT was 4 (IQR 3-5). In PS matching weighting analysis, there was evidence that pts receiving Lu had a significantly improved rwTTNT (median 8.3 months [mo], 95% CI 6.3 – 9.8) compared to those receiving C (median 4.7 mo, 95% CI 4.2 – 5.4) (HR 0.49, 95% CI 0.37 – 0.63, p < 0.001), which persisted after adjusting for covariates (HR 0.43, 95% CI 0.32 – 0.57, p < 0.001). Additionally, there was evidence that rwOS was longer in pts receiving Lu (median 10.3, 95% CI 8.9 – 12.8) compared to those receiving C (median 8.8 mo, 95% CI 6.6 – 10.8) (HR 0.69, 95% CI 0.51 – 0.92, p = 0.01). This improvement in rwOS with Lu compared to C persisted after adjusting for covariates (HR 0.61, 95% CI 0.44 – 0.84, p < 0.001). Conclusions: This is the largest real-world data to date assessing the comparative effectiveness of Lu vs. C, and it showed significantly longer rwTTNT and rwOS with Lu compared to C in pts with mCRPC pretreated with ARPI and D. Limitations: retrospective nature, selection bias, missingness, lack of randomization, etc. and residual confounding in real-world datasets. Upon external validation, these findings could guide treatment selection in the clinic and design of clinical trials.

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

7018 Background: CAR-T cell therapy represents a notable advancement in treating relapsed/refractory (R/R) hematological malignancies. Adverse events include CRS, infections, and neurological and cardiac complications. While there are reports from major academic institutions on the adverse effects of CAR-T therapy, we used data from the National Inpatient Sample (NIS) to gather national estimates of complications related to CAR-T therapy. Methods: A retrospective study was conducted to analyze patients who underwent CAR-T cell therapy by utilizing appropriate ICD-10-PCS procedure codes (XW033C3, XW043C3, XW23346, XW24346, XW23376, and XW24376) from NIS 2019 to 2021. Data regarding infections, toxic encephalopathy (a surrogate for neurological toxicity), and adverse cardiac events were extracted using relevant ICD-10-CM diagnostic codes. Patients experiencing various grades of CRS were identified through specific ICD-10 codes available in 2021 (Grades 1-5: D89.831-D89.835). Results: This study analyzed 6515 patients who underwent CAR-T cell therapy from January 2019 to December 2021. Among them, 60.7% were male. 74.6% were Caucasian, 11.7% were Asian and 6.7% were African American. 49.8% of patients had private insurance, 36.2% had Medicare, and 8.6% had Medicaid. 6.8% of patients were diagnosed with pneumonia, while sepsis occurred in 7.4% of patients and 3% experienced septic shock. 19.4% of patients experienced cardiac arrhythmias, and major cardiovascular events were recorded in 4.7% of the cohort. Acute myocardial infarction and stroke were documented in 0.6 and 1.2% of patients, respectively. Toxic encephalopathy was reported in 19.7% of patients. Among 2235 patients identified to have received CAR-T in 2021, 59.7% developed CRS. Grade 1 and grade 2 CRS were reported in 32% and 21% of patients, respectively, while grade 3 and grade 4 reactions were noted in 4.7% and 2% of patients, with no cases of grade 5 identified. The mean total cost of hospitalization was 308,364$, and the mean length of hospital stay was 19.5 days. The overall in-hospital mortality rate was 3.4%. Conclusions: Our study describes real-world outcomes from a large dataset of CAR-T patients. Infections pose a significant challenge with CAR-T therapy, highlighting the importance of early detection and timely antimicrobial treatment. CRS is common, with a 60% incidence, similar to previous clinical trials (55%). Immediate management is crucial for addressing CRS toxicity. Adverse neurological and cardiovascular incidents are often reported, emphasizing the need for meticulous monitoring and coordinating multidisciplinary care plans. The financial burdens also bear mentioning: CAR-T therapy costs significantly higher than autologous stem cell transplants. Further studies to address these issues are warranted.

e15628 Background: Total neoadjuvant therapy (TNT) with cytotoxic chemotherapy and chemoradiation followed by surgical resection is a standard treatment for locally advanced rectal cancer (LARC). In a limited number of LARC patients with deficient mismatch repair (dMMR), treatment with an immune checkpoint inhibitor (ICI) resulted in all patients achieving complete clinical response (cCR) (median follow-up of 29 months) such that radiotherapy and surgery were avoided. These and other data have resulted in the routine use of neoadjuvant ICI for dMMR LARC. Here we report a multicenter series of patients with dMMR LARC treated with neoadjuvant ICI. Methods: Adult patients (N = 21) with dMMR LARC who received neoadjuvant ICI at Mayo Clinic, MD Anderson Cancer Center, Duke University or University of Pittsburgh were identified from the electronic medical record (EMR) and relevant data were abstracted. All patients were staged with pelvic MRI; clinical response was evaluated by repeat pelvic MRI and sigmoidoscopy. Data were summarized using descriptive statistics. This study was approved by the Mayo Clinic IRB. Results: Patients with clinical stage I (n = 2), II (n = 3) or III (n = 15) dMMR LARC were treated with neoadjuvant PD-1 monotherapy (n = 20) or combination (n = 1, ipilimumab+ nivolumab). Median age was 46 years (IQR 39, 65), 15 (71%) were male, 10 (48%) had distal tumors, and 14 had Lynch Syndrome. Median duration of ICI treatment was 7 mos (IQR 6, 12); one patient remains on dostarlimab at data cut-off. Clinical complete response (cCR) was achieved in 11 (52%) patients, partial response (PR) in 7 (33%), stable disease (SD) in 1 (5%), and progressive disease (PD) in 2 (10%) patients. Median time from first dose of ICI to best clinical response was 6 mos (IQR 5, 8) months. All partial or non-responders received salvage TNT with (n = 6) or without (n = 3) surgery. At a median follow up of 19 mos (range 6 to 56), tumor regrowth occurred in 1 patient who was subsequently treated with TNT. Any grade immune-related adverse event occurred in 6 (29%) patients; one grade 3 hepatitis occurred in the patient on Ipi+Nivo (Table1). Conclusions: Neoadjuvant ICI treatment of dMMR LARC resulted in half of treated patients achieving cCR. Careful monitoring is necessary to identify non responders who will require salvage TNT. Patient characteristics and clinical response to ICI. ID Sex Age Stage ICI Response to ICI ID Sex Age Stage ICI Response to ICI 1 M 62 T3N+ Pembro cPR 12 M 37 T3N+ Pembro cCR 2 M 60 T2N0 Pembro cCR 13 M 41 T3N0 Pembro cCR 3 M 80 T2N0 Pembro cPD 14 M 46 T4N+ Pembro cPR 4 M 36 T3N+ Ipi+Nivo cCR 15 M 68 T3N+ Pembro cPR 5 M 57 T3N+ Dostarli cCR 16 M 77 T3N0 Pembro cPR 6 M 39 T3N+ Dostarli cPR 17 M 40 T4Nx Pembro cCR 7 F 44 T2N+ Dostarli cPD 18 F 35 T3N+ Dostarli cCR 8 M 74 T3N+ Pembro cCR 19 M 60 T2N+ Pembro cPR 9 M 43 T3N+ Nivo cCR 20 F 65 T3N+ Pembro cCR 10 F 81 T3N0 Dorstali cPR 21 F 39 T4N+ Dorstali cSD 11 F 32 T2N+ Pembro cCR

e19008 Background: Cytokine release syndrome (CRS) is typically reversible in CAR-T therapy, while hyperinflammatory syndromes like macrophage activation-like syndrome (MAS-L) and high-grade immune effector cell-associated hemophagocytic syndrome (IEC-HS) are associated with significant morbidity and mortality. Early interventions are critical for improving outcomes. We aim to analyze clinical cytokine assays and cellular phenotypes early in hyperinflammatory syndromes to identify profiles for severe cases to inform management decisions. Methods: This study included 113 CAR-T patients (pt) (September 2019-March 2024) with cytokine profiles (CP) performed at the second tocilizumab dose or with suspected hyperinflammatory states (CP1), followed by assessments at 24 hours (CP24) and 48 hours (CP48). 52 pts consented to blood (PB) and bone marrow (BM) cell immune phenotyping at pre-treatment (pre-LD) and day 1 for PB. Results: Among the 113 pts, CRS pts (N=74), when compared to MAS-L(N=19) & IEC-HS (N=20) at CP1, had lower levels of TNF (median in pg/mL; 31, 62.9, 47.7) , IL-18 (794, 1353, 2011), and MCP-1 (689, 2722, 2485.5). While MAS-L and IEC-HS had similar CP1 profiles, CP24 and CP48 differed between them: TNF & MCP-1 levels decreased in MAS-L but remained elevated or increased in IEC-HS. IL-18 was stable in MAS-L but increased steadily daily in IEC-HS. Infections were more frequent in IEC-HS (CRS: 43%; MAS-L: 58%; IEC-HS: 85%; p=0.002). Notably, patients who died with persistent E. faecium bacteremia had higher IL-18 in CP48. In the 52 pts with cell phenotypes available by flow, 33 had CRS, 18 MAS-L and 8 IEC-HS. The correlation between cell phenotypes and cytokine levels showed that elevated TNF at CP1 correlated with increased non-classical monocytes in pre-LD BM and higher NK and NK-T cells in pre-LD PB. Similarly, elevated IL-18 CP48 levels correlated with increased CD8 T-cells, NK-T cells, and intermediate monocytes in pre-LD PB, as well as increased NK cells at both pre-LD and day 1 (Table). Conclusions: We report distinct cytokine profiles in IEC-HS early in the inflammatory course post-CAR-T therapy. These elevated cytokines correlate with specific immune cell subsets, including BM-resident monocytes, intermediate monocytes with heightened cytokine trafficking and inflammatory capacity. This study demonstrates the feasibility for identifying potential biomarkers for early risk stratification and targeted interventions. Cytokine Sample source Immune cells R P value TNF CP1 BM pre-LD Non-classical monocytes (CD14loCD16+) 0.38 0.025 PB pre-LD Monocytes (All) 0.47 0.022 NK cells (CD56+CD16+) 0.34 0.024 NK-T cells (CD3+CD56+CD16-) 0.29 0.04 IL-18 CP48 PB pre-LD CD8+ T-cells 0.59 0.0093 NK-T cells (CD3+CD56+CD16-) 0.53 0.023 Intermediate monocytes (CD14+CD16+) 0.58 0.012 PB pre-LD NK cells (CD56+CD16+) 0.56 0.49 0.015 0.024

4558 Background: In the past 7 years, 4 immuno-oncology (IO) based combinations have been approved for mRCC. However, QOL data on these combinations are limited to trials in which collection and reporting was not standardized, which further limits cross trial comparisons. Real-world QOL data with multiple treatment regimens are needed to understand how these regimens are tolerated in practice. Methods: ODYSSEY is a multi-site, prospective observational study of 500 US pts with mRCC. Pts must have mRCC (any histology), no prior ST, and follow up at a PCORnet study site. Exclusion criteria include treatment for cancer except mRCC. The primary objective is to determine patterns of change in QOL and symptom burden of pts with mRCC. Minimally important differences (MID) are 3 points for FKSI-19 total score, 1 point for the FKSI-Disease Related Symptoms (DRS) subscale and 7 points for FACT-G. Results: As of 1/6/25, 392 pts were enrolled of whom 299 were managed with ST. Of pts on ST, 114 were treated with IO-IO, 108 with IO-TKI, 33 with IO alone, 27 with Other, and 18 with TKI alone. Median follow up for all pts is 8.8 months (IQR 2.9, 16.2). IO-IO pts are median age 64 yrs, 81% male, 84% white, 56% prior nephrectomy, 84% clear cell; IO-TKI pts median age 66 yrs, 76% male, 92% white, 43% prior nephrectomy, 66% clear cell; IMDC risk profiles are similar. IO-IO pts are more likely to be KPS 100; whereas, IO-TKI pts have a higher median number of metastatic sites and are more likely to have bone or liver metastasis. With median follow-up of 6.0 (IQR 1.8, 14.9) and 8.8 months (4.5, 17.8) in the IO-IO and IO-TKI cohorts, 17 (15%) and 21 (19%) pts had died with a median time to death of 5.4 (2.5, 6.4) and 5.7 months (4.4, 12.8), respectively. 20 (18%) and 16 (15%) pts on IO-IO and IO-TKI had discontinued therapy at a median of 3.0 (IQR 2.0, 4.0) and 6.4 months (2.4, 13.0), respectively. Rates of discontinuation for disease progression and toxicity are similar. Baseline PROs for pts on ST are shown in the Table (higher score indicates better QOL), with RCT data for reference (NA, not assessed). Conclusions: In our prospective multi-center ODYSSEY study, we demonstrate that real world pts treated with contemporary ST have worse baseline QOL than those enrolled on pivotal RCTs. One-third of IO-IO and IO-TKI pts died or discontinued therapy within 6 months of initiation. Our data on real world vs RCT differences in baseline QOL may partially explain the limitations of current IO combination regimens in practice and support development of alternative treatment approaches. Instrument, Mean (SD) ODYSSEYIO-IO(N=114) CheckMate214(N=425) ODYSSEYIO-TKI(N=108) KEYNOTE426(N=402) CheckMate9ER(N=323) CLEAR(N=351) FKSI-19 total 56.0 (12.5) 60.1 (9.8) 53.8 (11.8) NA 58.7 (10.6) NA FKSI-DRS 27.5 (6.3) 30.7 (4.5) 27.0 (5.8) 32 (4.2) 30.2 (5.2) 31.3 (4.4) FACT-G 82.4 (16.7) 82.6 (15.0) 78.5 (16.0) NA NA NA

4553 Background: AS is a recognized strategy in select pts with mRCC to maximize QOL and delay potential toxicity of systemic therapy (ST); however, only 2 prospective studies of AS in mRCC have been published: only 1 with patient-reported outcomes (PRO) and none in the IO-TKI era. Methods: ODYSSEY is a prospective observational study of 500 US pts with mRCC. Eligible pts must have mRCC (any histology), no prior ST, age ≥19. Pts were excluded if treated for non-mRCC cancers or if not followed at a PCORnet study site. Pts completed QOL surveys at baseline, by phone every 3 months for 2 years and then every 6 months until end of follow up. The primary objective is to determine patterns of change in QOL and symptom burden of pts with mRCC. Minimally important differences (MID) are 3 points for FKSI-19 total score, 1 point for the FKSI-Disease Related Symptoms (DRS) subscale and 7 points for FACT-G. Here we report baseline pt characteristics in AS pts compared to ST pts, and baseline QOL differences between these cohorts. Results: As of 1/6/25, 392 pts were enrolled of whom 299 were managed with ST, and 93 pts deferred ST; of these, 53 pts (57%) were classified as AS. Pts on AS are median age 68 yrs, 66% male, 94% white, 81% clear cell, 50% favorable risk, 44% intermediate risk. Compared with ST pts, AS pts were more likely to have undergone nephrectomy (91% vs 53%), favorable risk profile (50% vs 15%), pancreatic metastasis (15% vs 5%), and longer time since RCC diagnosis (median 58 vs 3.3 months); and less likely to have bone, brain, or liver metastasis. After median 8.8 months follow-up (IQR 2.9, 16.2), 2 pts (4%) on AS had died compared with 45 pts (15%) on ST. One pt (2%) on AS started first-line therapy and 45 pts (15%) discontinued ST. Mean baseline QOL (FKSI-19 total, DRS and FACT-G) for AS and ST ODYSSEY pts is shown in the Table (higher score indicates better QOL), with RCT data for reference (NA, not assessed). ODYSSEY pts on AS had higher QOL for all measures compared with ODYSSEY pts on ST. FSKI-DRS was the same or lower for pts on AS compared to the pivotal trials, while ODYSSEY pts on ST had both lower FKSI-19 total and DRS. Conclusions: In our large prospective cohort from ODYSSEY, pts on AS had higher median QOL scores than pts on ST, but similar to those included in RCTs. These results suggest that some RCT pts could have benefitted from AS. Further follow up is needed to determine long term outcomes in pts on AS and how they respond to deferred ST. Clinical trial information: NCT04919122 . Instrument, Mean (SD) ODYSSEY AS (N=53) ODYSSEY ST (N=299) ODYSSEY Difference, AS vs ST (95% CI) CheckMate 214 (N=425) KEYNOTE 426 (N=402) CheckMate 9ER (N=323) CLEAR (N=351) FKSI-19 total 63.4 (9.2) 56.3 (12.5) 7.0(4.0, 10.1) 60.1 (9.8) NA 58.7 (10.6) NA FKSI-DRS 30.8 (4.2) 27.9 (6.0) 2.9(1.5, 4.7) 30.7 (4.5) 32 (4.2) 30.2 (5.2) 31.3 (4.4) FACT-G 87.9 (14.0) 82.4 (16.7) 5.6(1.1, 10.0) 82.6 (15.0) NA NA NA

Importance Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure. Objective To estimate the worldwide burden of SAH. Design, Setting, and Participants Based on the repeated cross-sectional Global Burden of Disease (GBD) 2021 study, the global burden of SAH in 1990 to 2021 was estimated. Moreover, the SAH burden was compared with other diseases, and its associations with 14 individual risk factors were investigated with available data in the GBD 2021 study. The GBD study included the burden estimates of nontraumatic SAH among all ages in 204 countries and territories between 1990 and 2021. Exposures SAH and 14 modifiable risk factors. Main Outcomes and Measures Absolute numbers and age-standardized rates with 95% uncertainty intervals (UIs) of SAH incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) as well as risk factor–specific population attributable fractions (PAFs). Results In 2021, the global age-standardized SAH incidence was 8.3 (95% UI, 7.3-9.5), prevalence was 92.2 (95% UI, 84.1-100.6), mortality was 4.2 (95% UI, 3.7-4.8), and DALY rate was 125.2 (95% UI, 110.5-142.6) per 100 000 people. The highest burden estimates were found in Latin America, the Caribbean, Oceania, and high-income Asia Pacific. Although the absolute number of SAH cases increased, especially in regions with a low sociodemographic index, all age-standardized burden rates decreased between 1990 and 2021: the incidence by 28.8% (95% UI, 25.7%-31.6%), prevalence by 16.1% (95% UI, 14.8%-17.7%), mortality by 56.1% (95% UI, 40.7%-64.3%), and DALY rate by 54.6% (95% UI, 42.8%-61.9%). Of 300 diseases, SAH ranked as the 36th most common cause of death and 59th most common cause of DALY in the world. Of all worldwide SAH-related DALYs, 71.6% (95% UI, 63.8%-78.6%) were associated with the 14 modeled risk factors of which high systolic blood pressure (population attributable fraction [PAF] = 51.6%; 95% UI, 38.0%-62.6%) and smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%) had the highest attribution. Conclusions and Relevance Although the global age-standardized burden rates of SAH more than halved over the last 3 decades, SAH remained one of the most common cardiovascular and neurological causes of death and disabilities in the world, with increasing absolute case numbers. These findings suggest evidence for the potential health benefits of proactive public health planning and resource allocation toward the prevention of SAH.

Atopic dermatitis affects 20% to 25% of children and has significant impact on quality of life of patients and families. Recent studies of the pathogenesis of AD highlight the interplay between a defective skin barrier, immune dysfunction, and the cutaneous microbiome. Standard of care for AD treatment includes topical corticosteroids for active disease and moisturization to repair the barrier defect. Emerging treatments include dupilumab and Janus kinase (JAK) inhibitors. Reduction of triggers and proactive treatment with topical corticosteroids and/or topical calcineurin inhibitors can reduce flares. Treatment plans should be clear and as simple as possible to maximize adherence.

Abstract Pulmonary large cell neuroendocrine carcinoma (LCNEC) is a rare, aggressive lung tumor marked by significant molecular heterogeneity. In a study of 590 patients across two independent cohorts, we observed comparable overall survival across treatment regimens (chemotherapy, chemoimmunotherapy, immunotherapy) without unexpected adverse events. Genomic analysis identified distinct NSCLC-like (KEAP1, KRAS, STK11 mutations) and SCLC-like (RB1, TP53 mutations) LCNEC subtypes, with 80% aligning with SCLC transcriptional profiles. Serial sampling revealed stable mutational but shifting transcriptomic landscapes over time. NSCLC-like LCNECs showed elevated FGL-1 (a LAG-3 ligand) and SPINK1 expression, while SCLC-like subtypes expressed higher levels of DLL3. Immunofluorescence confirmed FGL-1 in NSCLC-like LCNECs, and H&E slide analyses indicated fewer tumor-infiltrating lymphocytes in LCNECs versus other lung cancers. These findings highlight LCNEC’s distinct immunogenomic profile, supporting future investigations into LAG-3, SPINK1, and DLL3-targeted therapies.