Citations

Abstract Metabolic reprogramming is a fundamental determinant of immune cell fate and effector function during inflammation, yet how distinct metabolic pathways regulate pathogenic lung macrophage activity and contribute to fibrotic remodeling remains incompletely understood. Here, we integrated single-cell RNA sequencing, lineage-specific genetic mouse models, and fate-mapping approaches to define the metabolic pathways that regulate the pro-fibrotic activity of lung macrophages. We found that such cells undergo pronounced aerobic glycolysis in the bleomycin-induced mouse model of pulmonary fibrosis. Myeloid cell-specific depletion of lactate dehydrogenase A (Ldha), but not of mitochondrial pyruvate carrier (Mpc), markedly attenuated lung fibrosis and improved survival. Mechanistically, enhanced glycolytic flux increased lactate production, which promoted histone lysine lactylation and facilitated Arginase 1 (Arg1) expression in lung macrophages, thereby driving fibrotic progression. Using monocyte fate-mapping, we further demonstrated that Arg1 expression is largely restricted to recruited monocyte-derived macrophages rather than lung-resident macrophages. Notably, selective deletion of Ldha in granulocyte-monocyte progenitors and their progeny was sufficient to suppress Arg1 expression and reduce fibrosis severity. In human lung samples, we observed significantly elevated expression of ARG1 and key glycolytic enzymes in patients with idiopathic pulmonary fibrosis, despite species-specific differences in the immune cell types expressing ARG1. Together, these findings identify an aerobic glycolysis–lactate–histone lactylation axis that regulates pro-fibrotic myeloid cell function and represents a potential therapeutic target in pulmonary fibrosis.

Abstract Objective: This study aimed to develop a machine learning model for the diagnosis of chronic renal failure (CRF) with spleen–kidney qi deficiency (SKQD) syndrome by investigating facial chromatic biomarkers based on traditional Chinese medicine (TCM) theory. Materials and Methods: This cross-sectional study analyzed TCM-defined facial regions in 303 patients with CRF (166 SKQD and 137 non-SKQD) and 25 healthy controls using active appearance models and RGB/Lab color spaces. Key chromatic features were selected using Chi-square automatic interaction detection (CHAID) decision trees to construct a multibranch deep convolutional neural network (CNN), nomogram, and hybrid model. The model performances were compared using the DeLong test. Results: The SKQD group showed a higher glomerular filtration rate, albumin level, and facial R-value with a lower serum creatinine level (all P < 0.05), accompanied by a higher prevalence of shortness of breath with reluctance to speak, and cold extremities ( P < 0.05) compared with the non-SKQD group. Chromatic analysis revealed elevated R/a values in the kidney region using the natural facial color region method ( P < 0.05), and distinctively higher R -values in the bladder-uterus region and a -values in the right small intestine region using the Mingtang facial color region method ( P < 0.05). The CHAID algorithm selected four diagnostic determinants, including the overall facial R -values. The CNN achieved superior discriminative performance (test area under the receiver operating characteristic curve = 0.74 vs. nomogram 0.68, DeLong test P < 0.001) with no added benefit from model integration ( P > 0.05). Conclusions: Facial chromatic biomarkers effectively differentiated SKQD in patients with CRF when analyzed using TCM-defined regions. The superior performance of the CNN validates AI-driven TCM diagnostics as a clinically actionable tool for precise syndrome classification.

Abstract Background: The Breast Cancer Index (BCI) is clinically validated to stratify patients with hormone receptor-positive (HR+), early-stage BC based on the risk of overall (0-10 years [y]) and late (5-10 y) distant recurrence (DR) with N0/N1 lymph node involvement. Validation of BCI in patients with HR+ HER2+ BC has been limited, especially in patients treated with adjuvant trastuzumab-based chemotherapy. The HOXB13 and IL17BR genes constitute the predictive component of BCI and are known to exhibit an ER-dependent correlation pattern with HER2. We evaluated the prognostic performance of BCI in patients with HR+ HER2+ disease enrolled in the NCCTG N9831 (Alliance) trial treated with the combination of chemotherapy and trastuzumab. Methods: All available tumor specimens from patients with HR+ HER2+ N0/N1 BC in arms B (sequential trastuzumab) and C (concurrent trastuzumab) of the trial were included. BCI testing was performed blinded to clinical outcomes. The primary endpoint was distant recurrence-free interval (DRFI). BCI (N0) and BCIN+ (N1) risk groups were calculated based on prespecified cut points. Kaplan-Meier analysis and log-rank testing were used to assess the prognostic significance of BCI/BCIN+ risk groups based on DR. Cox proportional hazard models with and without clinical covariates were used to estimate hazard ratios (HRs), and the associated 95% confidence intervals (CIs). Results: A total of 454 HR+ patients (234 arm B, 220 arm C), including 69 N0 and 385 N1 patients, were analyzed (median age was 47 y, 85% N1, 55% T2, 63% G3). BCIN+ scores were available for 378 of the 385 N1 patients due to missing tumor grade for 7 patients. The median follow-up was 12.7 years. In the overall cohort, BCI/BCIN+ stratified 51 (11%), 24 (5%) and 372 (83%) patients as low-, intermediate- and high-risk with 10-y DRFI rates of 96% (95% CI: 84-99%), 100% (100-100%) and 89% (86-92%), respectively. Since the low and intermediate risk groups had few patients and a similar risk of 10-y DRFI, they are combined into a single low-risk group hereafter. Thus, for overall 10-y DR, 75 (17%) and 372 (83%) of patients were classified by BCI/BCIN+ as low and high risk with 10-y DRFI rates of 97% (95% CI: 89-99%) and 89% (95% CI: 86-92%), respectively (HR=4.50, 95% CI: 1.09-18.61; p = 0.038). BCI/BCIN+ remained statistically significant in the multivariable analysis, adjusting for age, treatment, and nodal status (HR=7.54, 95% CI: 1.34-42.64; p = 0.022). For 69 N0 patients, BCI stratified 54 (78%) and 15 (22%) patients as low and high risk with 10-y DRFI rates of 100% (95% CI, 100-100%) and 77% (95% CI, 44-92%), respectively (p = 0.012). For 378 N1 patients, BCIN+ stratified 21 (6%) and 357 (94%) of patients as low and high risk with 10-y DRFI of 90% (95% CI, 66-97%) and 90% (95% CI, 86-93%), respectively (p = 0.07). Of the 21 patients classified as BCIN+ low-risk, two had BCIN+ scores of 6.75 and 6.73 in close proximity to the cut point (6.93) and experienced DR after 5 years, resulting in the same 10-y DRFI for both BCIN+ low- and high-risk patients. Conclusions: BCI is significantly prognostic for the risk of overall DR (0-10 y) in patients with HR+ HER2+ disease treated with adjuvant trastuzumab-based chemotherapy. Optimization of BCI cut points may further improve prognostic performance in HR+ HER2+. Additional validation in other HR+ HER2+ cohorts treated in the modern setting with anti-HER2-based therapy is warranted, given the small sample size of N0 patients and relatively low DR rate in the late recurrence cohort. In summary, these results provide further evidence of BCI’s utility to support clinical decision-making for adjuvant endocrine therapies for HR+ HER2+ BC. Support: U10CA180821, U10CA180882, U24CA196171, Genentech; Clinicaltrials.gov Id: NCT00005970; https://acknowledgments.alliancefound.org. Citation Format: S. Chumsri, E. Liu, K. Edwards, Y. Wen, Y. Zhang, A. K. Anderson, A. H. Partridge, L. Carey, K. Ballman, E. Perez, K. Treuner, M. Goetz, E. Thompson. Prognostic performance of Breast Cancer Index in patients with early-stage HR+ HER2+ breast cancer (BC) treated with adjuvant trastuzumab: NCCTG N9831 (Alliance) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-08-08.

Abstract Background: Tertiary lymphoid structures (TLS), which are organized ectopic lymphoid aggregates resembling secondary lymphoid organs, have been associated with improved outcomes across various cancer types. However, limited data exist on the prognostic relevance of TLS in HER2+ BC pts treated with trastuzumab. In our prior work, we demonstrated that the presence of functional TLS, defined by lymphoid aggregates with elevated expression of BCL6 or IL21R, correlated with improved outcomes in the NCCTG N9831 trial. In this study, we evaluated TLS-related gene and outcomes in the real-world database. Methods: 1344 HER2+ (HR-HER2+: 560; HR+HER2+: 784) BC samples were analyzed via NGS (592-gene panel, NextSeq; WES/WTS, NovaSeq; Caris Life Sciences). Above (high) or below (low) the 50th percentile expression levels of TLS-related genes were used to calculate overall survival (OS). IL21R-high (H) and -low (L) tumors were classified by RNA expression above or below the 50th percentile. Real-world OS was derived from insurance claims and calculated from date of biopsy to last contact using Kaplan-Meier. Statistical significance was assessed using chi-square and Mann-Whitney U with multiple comparison adjustments (q &lt; 0.05). Results: Among pts with HR-HER2+ BC, high expression of IL21R, CXCL9, CD38, and CXCL10 were associated with improved OS (Table). In contrast, among pts with HR+HER2+ BC, high expression of CXCR3, PDCD1, TBX21, CD200 and IL21R, were associated with improved OS. In both HR-HER2+ and HR+HER2+, IL21R-H groups had 1) higher infiltration of B cells (HR-HER2+: 4.4% vs 2.9%; HR+HER2+: 5.6% vs 4.2%), M1 MΦ (HR-HER2+: 3.9% vs 2.6%; HR+HER2+: 3% vs 2.1%), M2 MΦ (HR-HER2+: 4% vs 3.2%; HR+HER2+: 5.7% vs 4.4%), NK cells (HR-HER2+: 2.8% vs 2.5%; HR+HER2+: 2.7% vs 2.4%), CD8+ T cell (HR-HER2+: 0.9% vs 0%; HR+HER2+: 0.7% vs 0%), Tregs (HR-HER2+: 2.9% vs 1.4%; HR+HER2+: 2.8% vs 1.5%), all q&lt;.05; 2) higher T cell inflamed score (HR-HER2+: 87.5 vs -95; HR+HER2+: 71 vs -86), IFNy score (HR-HER2+: -0.19 vs -0.48; HR+HER2+: -0.27 vs -0.49), all q&lt;.05; 3) higher expression levels of MHC class I genes (HLA-A, HLA-B, HLA-C, HLA-E, FC: 1.6-2.3; all q&lt;.05), MHC class II genes (HLA-DQA1, HLA-DOA, HLA-DPA1, HLA-DMA, FC: 2.2-3.2; all q&lt;.05) compared to IL21R-L group. Conclusion: Consistent with our prior findings, overexpression of TLS-related genes was associated with improved outcomes in HER2+ BC in real-world data. Notably, the prognostic impact of TLS-related genes differed by hormone receptor (HR) status. Among these, IL21R emerged as the only gene significantly associated with clinical outcomes across both datasets and HR subgroups. Higher IL21R expression is associated with more B cell, M1 MΦ, CD8 T cell and NK cells. These findings underscore the potential importance of the IL21/IL21R axis in HER2+ BC and warrant further investigation to validate its role and therapeutic relevance. Citation Format: S. Chumsri, S. Deshmukh, Y. Liu, S. Wu, J. Xiu, N. Norton, S. Shipra Gandhi, E. Torres, M. Lustberg, E. Perez, A. Nassar, G. Sledge, E. Thompson, K. Knutson. Tertiary lymphoid structure (TLS)-related gene expression and outcomes in HER2-Positive (HER2+) breast cancer (BC) in the Real-World Database [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-09-08.

ABSTRACT Background Optimal management of direct oral anticoagulants (DOAC) prior to implantation of cardiac implantable electronic devices (CIED) remains controversial. Objective To determine whether a strategy of minimal interruption of DOAC before cardiac CIED implantation is associated with improved clinical outcomes compared to uninterrupted DOAC use. Methods The electronic clinical records of 310 patients who were on DOAC and underwent CIED implantation were evaluated. The patients were separated into 2 groups: patients in Group 1 had minimal DOAC interruption (DOAC held < 24 h before procedure), while patients in Group 2 continued DOAC before procedure. Resumption of DOAC in both groups was on the same day of the procedure or the next morning at the operator's discretion. Clinically significant pocket hematoma and thromboembolic events were compared. Results Among the 310 patients, 71 (22.9%) of them had DOAC held < 24 h before procedure, while DOAC was continued without interruption in 239 (77.1%) in the periprocedural period. Clinically significant pocket hematomas were found in 1 patient (1.4%) in the DOAC interrupted group and 24 (10.0%) in the DOAC continuous group ( p = 0.046). Low thromboembolic events were observed in both groups: 0 in the minimally interrupted group and 1 (0.4%) in the un‐interrupted group ( p > 0.05). Conclusion The bleeding risk in our cohort of patients who underwent CIED implantation with the uninterrupted DOAC approach is higher than previously reported in the literature. A minimally interrupted approach appears to mitigate this risk without significantly increasing the risk of thromboembolism.

Abstract Background The ability of large language models (LLMs) to work collaboratively and screen studies in a systematic review (SR) is under-explored. Hence, we aimed to evaluate the effectiveness of LLMs in automating the process of screening in systematic reviews. Methods This is an observational study which included labeled data (title and abstracts) for five SRs. Originally, two reviewers screened the citations independently for eligibility. A third reviewer cross-checked each citation for quality assurance. GPT-4, Claude-3-Sonnet, and Gemini-Pro-1.0 were used using zero-shot chain-of-thought prompting. Collaborative approaches included (i): conflict resolution using benefit of the doubt, (ii) majority voting using an independent third LLM and (iii) conflict resolution using an informed third LLM. Performance was assessed using accuracy, precision for exclusion, and recall for inclusion. Work saved over samples (WSS) was computed to estimate the reduction in manual human effort. Results A total of 11300 articles were included in this study. The individual models, GPT-4, Claude-3-Sonnet, and Gemini-Pro-1.0 exhibited a high precision for exclusion, achieving 99.7%, 99.7%, and 99.2% and high recall for inclusion achieving 95.5%, 96.6% and 85.7%, respectively. However, the collaborative approach utilizing the two best-performing models (GPT-4 and Claude-3S) achieved an average precision of 99.9% and a recall of 98.5% (across all collaborative approaches). Furthermore, the proposed collaborative approach resulted in an average WSS of 63.5%, compared to the average WSS of 45.2% for individual models. Conversational LLM interactions showed a consistent pattern of results. Limitations This study was limited due to reliance on proprietary models, and evaluation on oncology datasets. Conclusion Evidence shows that collaborative LLMs enable efficient, high-performing screening in systematic reviews, supporting continuous evidence updates. Primary funding source NIH (U24CA265879-01-1) and Carolyn-Ann-Kennedy-Bacon Fund.

Abstract Background: PALLAS (PALbociclib CoLlaborative Adjuvant Study, NCT02513394) is a randomized phase III trial comparing two years of the CDK4/6 inhibitor palbociclib combined with the physician’s choice of adjuvant endocrine therapy, versus endocrine therapy alone for patients with Stage II-III hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer. Molecular residual disease (MRD) detection via circulating tumor DNA (ctDNA) testing was a predefined biomarker analysis to identify patients at highest risk of recurrence. Methods: PALLAS participants with available tumor block, at least a baseline (pre-study treatment) plasma sample, and either whole blood or buffy coat were randomly selected from the overall study population. Plasma samples on cycle 1 day 1 (C1D1), cycle 6 day 1 (C6D1), and at the end of treatment (EOT) were collected, processed, and stored. Nucleic acids were extracted from primary tumor tissue or, when primary tissue was insufficient, from post-neoadjuvant tumor tissue, provided the sample had sufficient material and tumor cellularity (&gt;25 mm2 tissue area with ≥20% tumor nuclei). Data from next generation sequencing of tumor tissue and matched normal DNA were used to create a personalized ctDNA SignateraTM assay (Natera, Inc.) for MRD assessment in the peripheral blood. ctDNA was reported as mean tumor molecules/mL (MTM/mL) of plasma. The primary endpoint was distant recurrence-free interval (DRFI) based on ctDNA status. Cox Proportional Hazards models were used to evaluate prognosis and predictive interactions. To minimize bias, the biorepository and laboratory teams were blinded to participant identity. Results: In total, 1280 participants were randomly selected for inclusion in this preplanned ctDNA sub-study. WES and WGS are being conducted on tissue, and Signatera results will be generated. Results for association of MRD status (positive/negative) and MTM/mL with DRFI in the context of 7 year median follow up of this study cohort will be reported. Conclusions: The planned analysis is ongoing and the presented work will provide data from the first randomized phase 3 adjuvant study in HR+/HER2- breast cancer to report MRD status by treatment arm. Citation Format: H. A. Parsons, K. Ballman, E. Heitzer, M. Watson, M. Balic, D. Hlauschek, D. Renner, E. Kalashnikova, G. Steger, J. M. Balko, Y. Novik, M. Martin, A. A. Rodriguez, Z. Dayao, A. Chan, E. Nili Gal-Yam, M. C. Liu, C. Isaacs, M. Los, M. Gil Gil, B. Felder, C. Denkert, P. Fasching, F. Liu, T. O'Donnell, E. L. Mayer, M. Gnant, W. F. Symmans, A. DeMichele. Tumor-informed circulating tumor DNA analysis to assess molecular residual disease for prognosis and prediction of benefit from palbociclib in the PALLAS trial [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr RF3-04.

Abstract Uptake of tamoxifen is limited to 5-15% of all eligible women due to concerns regarding medication side effects combined with the lack of ability to predict which women will benefit from the therapies. We used a unique retrospective sample of n=92 high-risk women with paired benign biopsies obtained before (PreTam) and during tamoxifen (OnTam) to discover tissue gene expression biomarkers of biologic response, defined as change (Δ) in lobular Ki67. Ki67 was digitally quantified in normal lobules from PreTam and OnTam benign tissue samples and samples with PreTam Ki67 = 0 were excluded. Data were analyzed from 51 women with both PreTam and OnTam Ki67 (median age = 49 years and median BMI = 25.5 kg/m2 at PreTam biopsy). OnTam biopsies were collected a median of 11.5 months after PreTam biopsy (median 6.5 months after starting tamoxifen; dose 20 mg/day in 86%). Median Ki67 significantly decreased overall (Δ Ki67 = -0.29%, p=0.003), but the effect was restricted to women with baseline Ki67 ≥ 0.5% (n=38, Δ Ki67 = -0.78%, p=0.0002); no significant change occurred with baseline Ki67 &lt; 0.5 (Δ Ki67 = 0.19%, p=0.23). Δ Ki67 was inversely proportional to baseline Ki67. RNA-seq was successful for 171 benign tissue samples (including 53 PreTam-OnTam pairs). After edgeR normalization (&gt;14,600 genes), PreTam vs OnTam comparison across 33 pairs with baseline Ki67 ≥ 0.5% yielded 66 differentially expressed genes (fold-change &gt; 2 and p&lt;0.01). At p&lt;0.01, ranked gene set enrichment analysis revealed 27 gene sets enriched for reduced expression with Tam (with top-ranked gene set related to steroid hormone biosynthesis) and 59 gene sets enriched for increased expression with Tam (with top-ranking gene sets related to B cell and T cell receptor signaling, regulation of cell cycle, and other immune-related pathways). To identify predictors of response, we correlated baseline PreTam gene expression with Δ Ki67 in 37 women with available baseline PreTam RNAseq and Δ Ki67 data. Partial correlation analysis (via ‘ppcor’ package, adjusted for library qubit) revealed 73 genes with significant positive correlation (rho &gt; 0.50) and 14 genes with significant negative correlation (rho &lt; -0.50) with Δ Ki67 (p&lt;0.01). At p&lt;0.01, ranked gene set enrichment analysis yielded 67 gene sets enriched with negative correlation (i.e. increased expression associated with a reduction in Ki67), including pathways related to ribosome biogenesis, DNA recombination, and nucleic acid metabolic processes; there were 62 gene sets enriched for positive correlation (i.e. decreased expression associated with a reduction in Ki67), including pathways such as VEGF and ERBB signaling. Our data support (i) baseline Ki67 ≥ 0.5 % and (ii) an 87-gene baseline signature as complementary biomarkers of tamoxifen response. Prospective validation of this combined assay could target tamoxifen to the women most likely to benefit, potentially overcoming a major barrier to chemoprevention uptake. Citation Format: S. J. Winham, C. Wang, Y. Liu, B. M. McCauley, D. J. Tabrizi, D. L. Gehling, J. L. Fischer, L. R. Seymour, M. H. Solanki, M. E. Sherman, K. R. Lohani, T. L. Hoskin, D. C. Radisky, A. C. Degnim. Gene expression signatures of beneficial response to tamoxifen for breast cancer prevention [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-01-18.