Citations

BMT CTN 1506 ("MORPHO") was a phase 3 study of post-hematopoietic cell transplantation (HCT) maintenance with gilteritinib versus placebo for patients with FLT3-ITD-mutated acute myeloid leukemia (AML) in first remission. Subgroup analysis indicated a significant benefit of post-HCT gilteritinib for participants in North America, but no benefit for those in Europe or Asia. We conducted a post-hoc analysis of the data focusing on days from AML diagnosis to HCT, pre-HCT FLT3 inhibitor use, and FLT3-ITD measurable residual disease (MRD). Participants transplanted < 120 days from AML diagnosis and/or those treated with FLT3 inhibition pre-HCT were more likely to have improved survival from post-HCT gilteritinib. Pre-HCT MRD levels were higher (P = 0.001) in participants transplanted within 120 days from diagnosis and in those treated with a FLT3 inhibitor pre-HCT and transplanted within 120 days (P = 0.008). Pre-HCT MRD was dependent on both FLT3 inhibitor use and time to HCT, as participants treated with successive courses of chemotherapy + FLT3 inhibition had successively lower MRD by the time of HCT. Time from AML diagnosis to HCT and pre-HCT FLT3 inhibitor use both appeared to impact MRD levels immediately prior to HCT, and geographic differences in these two practice patterns likely accounted for the observed regional differences in benefit from post-HCT gilteritinib. Increasing the number of courses of treatment pre-HCT may lower MRD sufficiently to eliminate the need for post-HCT inhibition, but with a presumed risk of some patients experiencing early progression. This trial was registered at www.clinicaltrials.gov as #NCT02997202.

PURPOSE Systematic integration of tobacco cessation treatment within cancer centers is needed to improve smoking cessation outcomes among cancer patients and survivors. The current study characterizes baseline rates of tobacco use, use of cessation support, and changes in tobacco use over time among 756 participants diagnosed with cancer and enrolled in 9 ECOG-ACRIN Cancer Research Group trials. MATERIALS AND METHODS Participants completed surveys at trial enrollment and at 3- and 6-month follow-ups. Descriptive statistics were used to characterize patient characteristics and selected items from the Cancer Patient Tobacco Use Questionnaire (C-TUQ). Generalized estimating equations were used to examine the time point effect on tobacco product use. RESULTS At baseline, 11% of participants (n = 740) currently smoked cigarettes. Among participants with data available at all time points (n = 443), prevalence of current smoking was stable over time, with 7.2% of participants (n = 32) reporting current smoking at baseline, 7.0% (n = 31) at the 3-month follow-up assessment, and 6.8% (n = 30) at the 6-month follow-up assessment. Most participants (n = 77/104) who smoked cigarettes within the year prior to their cancer diagnosis continued smoking after their diagnosis, and during (n = 44/72) and following completion (n = 30/46) of their treatment. Sixty-two percent of participants (n = 81) who were currently smoking at baseline reported using smoking cessation medication and 32.1% reported use of nonpharmacologic smoking cessation support since their cancer diagnosis. In longitudinal analyses, the odds of using cigarettes since their cancer diagnosis, 3-month follow-up, and 6-month follow-up was higher than the odds of using cigarettes for the past 30 days at baseline (odds ratio [OR] = 1.97, OR = 1.62, and OR = 1.50, respectively; all p s < .01). CONCLUSION Smoking persists over time among patients with cancer enrolled in therapeutic cancer trials. Findings highlight the importance of increasing access to integrated and longitudinal smoking cessation support.

Abstract Background Breast cancer is etiologically heterogeneous, but which risk factors differ in their associations across tumor subtypes remains unclear. We conducted a large, pooled analysis to evaluate independent, dose-response associations between breast cancer risk factors and quantitative tumor features. Methods Analyses of 15,731 invasive breast cancers from 24 studies evaluated associations (p-trend) between reproductive and hormonal factors, body mass index (BMI), alcohol, smoking, and family history in relation to quantitative immunohistochemistry measures on tissue microarrays (ER, PR, HER2, KI67, TP53) and tumor grade. Analyses in a subset of 10 population-based studies estimated subtype-specific odds ratios (ORs) comparing cases to controls. A Bayesian False Discovery Probability (BFDP) &lt;0.2 was used to identify associations with strong statistical evidence. Results Nulliparity and later age at menopause were associated with higher ER-positivity (p-trend=0.021 and 0.001, respectively), with corresponding OR[ER+] (95% CI) = 1.49 (1.16-1.90) for nulliparous vs. parous and 1.07 (1.03-1.11) per 5 years. Current combined menopausal hormone therapy (MHT) use was associated with lower grade (p-trend&lt;0.001), with OR [grade1] = 3.37 (2.69-4.21) for current vs. never users. Higher BMI was associated with lower ER-positivity and higher grade in premenopausal women (p-trend&lt;0.001 and &lt;0.001), with OR[ER+] = 0.80 (0.74-0.87) and OR[grade1] = 0.75 (0.63-0.88) per 5 units, and with higher PR-positivity and higher grade in postmenopausal women (p-trend&lt;0.001 and &lt;0.001), with OR[PR+] = 1.08 (1.03-1.14) and OR[grade 3] = 1.10 (1.04-1.17) per 5 units. Conclusion This pooled analysis of 15,731 cases showed that nulliparity, age at menopause, MHT, and BMI have independent, dose-response associations with ER, PR, and grade, clarifying patterns of etiologic heterogeneity. Associations with HER2, KI67 and TP53, or other risk factors did not meet our threshold for strong evidence.

Abstract Purpose: The addition of MEK inhibition (MEKi) to programmed cell death ligand 1 (PD-L1) blockade improves progression-free survival (PFS) in patients with advanced biliary tract cancer. Although MEK inhibitors may increase tumor cell immunogenicity, they can impair T-cell priming/effector function, limiting combination efficacy. We hypothesized that the addition of a CD27 agonist could restore T-cell function and enhance antitumor immunity in this combination. Patients and Methods: We conducted a randomized, phase II trial evaluating atezolizumab (840 mg, intravenously, days 1 and 15) in combination with the CD27 costimulatory monoclonal antibody [CDX-1127/varlilumab (3 mg/kg, intravenously, days 1 and 15)], with/without the addition of an MEK inhibitor [cobimetinib (60 mg, orally, daily, days 1–21, off days 22–28)] in unresectable biliary tract cancer following at least one metastatic therapy. Overall response rate (ORR) and PFS were coprimary endpoints. Treatment-related changes in CD8+ tumor-infiltrating lymphocytes (TIL) were the primary correlative outcomes. Results: The trial was closed early following interim preplanned ORR analysis. At closure, 57 patients had been enrolled [n = 29 in the cobimetinib + atezolizumab + varlilumab (CAV) arm; n = 28 in the atezolizumab + varlilumab (AV) arm]. A majority (67%) had intrahepatic cholangiocarcinoma, and 32% were immunotherapy experienced. Both regimens were well tolerated without new safety signals. Objective responses were rare [0% (CAV); 3.8% (AV)]. The median PFS (mPFS) was 2.40 (CAV) and 1.84 (AV) months [hazard ratio (HR), 0.67; 95% confidence interval (CI), 0.38–1.18]. Among immunotherapy-experienced patients, the mPFS was 3.62 (CAV) and 1.84 (AV) months (HR, 0.54; 95% CI, 0.18–1.62). Treatment with CAV increased intratumoral CD8+ T-cell density compared with treatment with AV. Conclusions: The combinations of atezolizumab and varlilumab with/without cobimetinib were safe, but neither meaningfully improved outcomes in biliary tract cancer treated in the later lines. Correlative tissue studies validated preclinical work that MEKi increases CD8+ TILs.

ABSTRACT Hypomethylating agents (HMA) and allogeneic hematopoietic stem cell transplantation (alloHSCT) have both demonstrated remissions in VEXAS; however, comparative data is lacking. We conducted a multicenter, retrospective analysis of 66 patients diagnosed with VEXAS syndrome treated with HMA ( n = 35) or alloHSCT ( n = 31). Baseline characteristics such as genetics, co‐morbidities, and performance status were balanced between the groups, except older age in the HMA group. Median follow‐up from therapy initiation was 18 months (95% CI: 11–26), and 14 (21%) deaths were reported (alloHSCT n = 3; HMA n = 11). Among all evaluable patients within the alloHSCT cohort, all patients achieved molecular remission, and a substantial proportion of patients discontinued glucocorticoids (58%). In contrast, HMA therapy was associated with lower but meaningful rates of molecular remission (22%) and glucocorticoid discontinuation (6%). In a real‐world setting, HMA therapy was associated with a high discontinuation rate related to toxicity or lack of response. On multivariable analysis adjusted for age and Charlson Comorbidity Index, alloHSCT was associated with improved overall survival (HR = 0.20, 95% CI: 0.05–0.81; p = 0.024). This association remained consistent across multiple ancillary sensitivity analyses, including restriction to transplant‐eligible patients, patients aged ≤ 75 years, 1:1 matching, and propensity score‐based weighted analyses. Although limited by retrospective design, these findings suggest that alloHSCT remains an attractive and potentially curative strategy in selected patients with VEXAS. Prospective validation of these findings is warranted.

LBA514 Background: Preclinical and clinical data show that antibody-drug conjugates (ADCs) such as T-DXd may synergize with immunotherapy. Rilvegostomig (R) is a monovalent, Fc-reduced, dual checkpoint bispecific IgG1 monoclonal antibody against PD-1 and TIGIT receptors. R + T-DXd was evaluated as neoadjuvant therapy for up to 4 cycles. Methods: I-SPY2.2 is a phase II neoadjuvant trial with three neoadjuvant sequences (Blocks A/B/C). All HER2-negative subtypes were eligible for R + T-DXd in Block A. Predicted responders at the end of Block A or B could undergo surgery; otherwise, they continued to Block B +/- C. Block B pts received paclitaxel +/- carboplatin +/- pembrolizumab and Block C pts doxorubicin + cyclophosphamide (AC) +/- pembrolizumab, HR+ immune+ received IO in Blocks B/C. Results are analyzed by receptor and response predictive subtypes (RPS), that include expression-based immune, and luminal signatures with hormone receptor (HR) and HER2 status. Some pts were randomized to a control regimen (skipping R + T-DXd in block A and starting in block B). To minimize risk of interstitial lung disease (ILD) that could lead to treatment discontinuation, pts underwent pulmonary function tests and high-resolution chest CTs every 6 weeks. Abnormalities were reviewed in real time. The primary endpoint was pathologic complete response (pCR), within each RPS and HR/HER2 signature, with estimated pCR (EpCR) rates compared to subtype-specific block A goal rates and control pts in those groups. Other endpoints included safety and treatment discontinuation. Results: 105 pts were treated with R + T-DXd in block A, while 31 pts were randomized to the control regimen. Block A EpCR rate was 57% in the 12 HR+Immune+ pts vs a pre-specified goal of 15% (posterior probability, PP > .99). In 35 HR-Immune+ pts EpCR was 52% vs a pre-specified goal of 40% (PP = .87). No other groups (Immune-) had a PP > .85 for their respective pCR goal rate. HER2-IHC was 0 (27.6%), 1+ (49.5%) and 2+ (22.9%) in the treatment arm vs. 37.7%, 37.7%, and 24.7% in the control arm, with no difference in distribution between arms in immune subtypes. The most common adverse events in Block A were fatigue (84.8%), nausea (81.0%) and alopecia (58.1%). ILD was the most common adverse event of special interest in Block A and overall, occurring in 12 pts (11.4%; 7G1, 4G2, 1G3) during Block A and in 3 pts (G1, 2.9%) in other Blocks. 8 pts discontinued T-DXd + R due to ILD and proceeded to the next Block. Conclusions: When considering the full treatment strategy including block B and C regimens, experimental strategies had similar EpCR rates vs. controls in immune+ subtypes but block A rates exceeded pre-defined goal thresholds. This infers that treatment beginning with R + T-DXd has equivalent efficacy to standard of care for immune+ pts, but 64% pts with pCR skip chemotherapy (Block B) and 97% avoid AC (Block C). R + T-DXd participants avoided persistent ILD. Clinical trial information: NCT01042379 .

Importance Preoperative and perioperative nivolumab improve event-free survival in resectable non–small cell lung cancer. The role of adjuvant nivolumab after upfront surgery is unknown. Objective To determine whether adjuvant nivolumab improves disease-free survival and overall survival in patients with resected non–small cell lung cancer with any tumor programmed death-ligand 1 (PD-L1) expression and in those with at least 50% PD-L1 expression. Design, Setting, and Participants This open-label, randomized phase 3 study enrolled participants from May 2016 through September 2019, with median follow-up of 72.6 months at the data cutoff in December 2025. The study was conducted at 378 centers in the US National Clinical Trials Network. Patients were identified through a screening trial. Those with resected tumors at least 4 cm and/or who were lymph node positive (N1/N2) were eligible for inclusion after completion of planned standard adjuvant therapy if the tumor was adenocarcinoma without sensitizing sequence variants in EGFR and ALK or squamous cell carcinoma. Intervention Patients were randomized in a 1:1 ratio to receive nivolumab 480 mg intravenously every 4 weeks for up to 1 year or standard care observation. Main Outcomes and Measures Co–primary end points were disease-free survival in the intention-to-treat population and in those with tumoral PD-L1 expression at least 50%. Overall survival was examined if the corresponding test of disease-free survival was statistically significant. Results A total of 466 patients (median age, 66 years; 241 [52%] male) were assigned to receive nivolumab and 469 (median age, 67 years; 245 [52%] male) to undergo standard care observation. The median duration of follow-up was 72.6 months. The trial was stopped for futility at 75% information. In the intention-to-treat population, median disease-free survival was 71.3 months with nivolumab and 68.8 months with observation (hazard ratio for progression or death, 0.97 [97% CI, 0.79-1.20]; [95% CI, 0.81-1.17]; 1-sided P = .39). In the subset of participants with PD-L1 of at least 50%, median disease-free survival was 89.8 months with nivolumab and 78.5 months with observation (hazard ratio for progression or death, 0.86 [98% CI, 0.55-1.34]; [95% CI, 0.59-1.25]; 1-sided P = .22). Conclusions and Relevance Adjuvant nivolumab was not associated with improved disease-free survival in patients with resected non–small cell lung cancer without sensitizing EGFR and ALK alterations when given after planned adjuvant chemotherapy and/or radiotherapy. Trial Registration Clinicaltrials.gov Identifier: NCT02595944

TPS3678 Background: Advanced and metastatic colorectal cancer (CRC) remains an area of significant unmet clinical need, particularly for patients with MSS/MSI-L tumors. In recent years, there have been several advancements in the treatment of solid tumors with T cell engagers. Our ATLAS scRNA-seq based discovery platform identified LY6G6D as a highly-specific tumor-associated antigen in advanced and metastatic CRC. CBI-1214, a CD3 bispecific T cell engager targeting LY6G6D with potent in vitro and in vivo activity even at low LY6G6D expression levels of ~300 copies/cell ( Yigit B et al, AACR 2025 ), is being developed for the treatment of patients with advanced or metastatic MSS/MSI-L CRC. Methods: This ongoing, open-label FIH study (CBI-1214-001) is being conducted to evaluate the safety, tolerability, pharmacokinetics (PK), and anti-tumor activity of CBI-1214 and to determine the maximum tolerated dose (MTD) and/or optimal biological dose (OBD) in participants with advanced or metastatic MSS/MSI-L CRC who have exhausted at least one prior line of systemic treatment and do not qualify for available targeted treatment options for actionable genomic alterations. Additional eligibility criteria include: at least 18 years of age, measurable disease (as defined by RECIST v1.1), available archival tumor tissue sample or a fresh tumor sample, ECOG PS 0 or 1, as well as adequate hematologic and organ functions. Patients whose CRC tumor tissues have been identified as dMMR or MSI-H are excluded. The study is conducted in two parts: Part 1 dose escalation, which starts with Part 1a as accelerated dose escalation, followed by Part 1b escalation, which is based on a modified toxicity probability interval (mTPI-2) design, and Part 2, which is designed as a randomized dose optimization study to select the final recommended phase 2 dose (RP2D). For both parts of the study, the study intervention is administered as monotherapy, given as an intravenous (IV) infusion, in 21-day treatment cycles, with a step-up option. After an up-to-28-day screening period, eligible patients receive study medication and are followed for their entire treatment period plus a follow-up period of approximately 90 days. The study is open for recruitment in the United States (NCT07321106). Clinical trial information: NCT07321106 .

e13656 Background: Effective multidisciplinary cancer care is bottlenecked by the cognitive burden of synthesizing fragmented electronic health records across different specialties. Current AI tools often function as isolated chatbots rather than integrated workflow assistants. We developed and validated "OncoSphere AI," an Agentic AI multidisciplinary clinical workflow support tool designed to autonomously orchestrate the multidisciplinary review process by deconstructing complex cases into domain-specific insights. Methods: OncoSphere AI is a novel, multi-agent large language model–driven platform that simulates a multidisciplinary tumor board for cancer care. The architecture uses a parallel reasoning framework in which eight virtual specialty agents—Medical Oncology, Radiation Oncology, Surgical Oncology, Pathology, Radiology, Pharmacy, Clinical Research, and Nurse Navigation—independently analyze structured and unstructured patient data against specialty specific guidelines and contemporary peer-reviewed literature. System performance was assessed via built-in telemetry (task completion, latency, inter-agent agreement) and blinded review by eight expert oncologists using a structured survey to rate data extraction fidelity, guideline concordance, safety, and clinical utility compared with standard manual review. Results: The study cohort (n=20, median age 59.5 years; 55% female) had a median of 2.5 (range 0-7) prior lines of therapy and multiorgan metastatic disease (median: 2, range 1–4), including lung, breast, gastrointestinal (CRC, pancreatic, hepatobiliary), and genitourinary (prostate, renal) malignancies. OncoSphere AI demonstrated high workflow utility (mean rating: 4/5) and strong extraction fidelity, with more than 90% of biomarker extractions rated as a “perfect match” by expert reviewers. Operational efficiency gains were substantial with AI processing averaged 4.7 minutes per case versus 29.3 minutes for manual review, corresponding to an 84% reduction in time (p<0.001). System telemetry revealed adaptive compute behavior, with the platform autonomously allocating 1.73-fold more reasoning tokens to complex, refractory cases than to standard scenarios. Safety review identified only one critical contraindication issue in a heavily pretreated, multi-line setting. Conclusions: OncoSphere AI effectively automates the clinical “perception layer,” consistently transforming heterogeneous longitudinal data into decision-grade insights with high fidelity and marked time savings. By operating as a coordinated ensemble of domain-specialized AI agents rather than a single generic model, it offers a scalable approach to reduce physician cognitive burden and to standardize guideline-concordant care planning in diverse, heavily pretreated oncology populations.

8534 Background: Immunotherapy (IO) has transformed treatment for non–small cell lung cancer (NSCLC), but not all patients (pts) benefit, underscoring the need for predictive biomarkers to guide IO versus chemotherapy (Ch). CheckMate 227 (CM227; NCT02477826) showed a survival benefit of first-line nivolumab plus ipilimumab (nivo+ipi) over Ch in stage IV NSCLC. CD8⁺ T cells are key mediators of antitumor immunity and are associated with IO benefit. We developed an artificial intelligence (AI)–based pipeline (VIGOR-CD8) that predicts spatial CD8⁺ immune signatures from routine baseline H&E whole-slide images using histopathology foundation model embeddings (H-Optimus-0) and virtual gene expression modeling (HE2Gene), and evaluated its ability to identify pts who do and do not derive IO benefit over Ch in CM227. Methods: 1,598 pts with advanced NSCLC were analyzed, including multi-institutional retrospective cohorts (n = 487; 65 for patch-level CD8⁺ prediction and overall survival (OS), 422 for patient-level OS) and a blinded CM227 validation subset (n = 1,111). For orthogonal validation, 86,470 H&E patches were co-registered with quantitative CD8⁺ immunofluorescence. H-Optimus-0 and HE2Gene immune-related embeddings were used to train a random forest classifier to predict patch-level CD8⁺ probability. Patch-level probabilities were aggregated into a patient-level CD8⁺ signature and dichotomized into biomarker-positive (B⁺) and biomarker-negative (B⁻) groups by the training-set median. Cox models assessed the impact of VIGOR-CD8 on OS. In CM227, prognostic and predictive utility were evaluated using treatment-specific analyses; investigators were blinded to outcomes, and models were trained on independent, non-overlapping cohorts. Results: VIGOR-CD8 was associated with longer OS in the testing cohort (n = 422; HR 0.68, 95% CI 0.53–0.87, p = 0.00163) and CM227 (n = 1,111; HR 0.8, 95% CI 0.67–0.96, p = 0.016), irrespective of treatment type and PD-L1 expression. Among pts with evaluable PD-L1, B⁺ pts treated with nivo+ipi had superior OS versus Ch (n = 617; HR 0.72, 95% CI 0.58–0.90, p = 0.003), while in B⁻ pts there was no significant OS difference between treatment arms (n = 130; HR 1.18, 95% CI 0.79–1.75, p = 0.436), supporting a predictive rather than purely prognostic role for VIGOR-CD8. Conclusions: An AI-derived CD8⁺ immune signature from routine baseline H&E slides was associated with favorable OS in CM227 and predicted differential benefit from nivo+ipi versus Ch. VIGOR-CD8 may help identify advanced NSCLC pts most likely to benefit from first-line dual IO, but further validation in independent and prospective trials is warranted.