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1098 Background: Leucine-rich repeat-containing protein 15 ( LRRC15) has emerged as a potential biomarker and therapeutic target for various cancers due to its high expression in cancer-associated fibroblasts (CAFs) and role in tumor progression. High LRRC15 expression is associated with poor prognosis in TNBC. This study aims to define the multiomic profile of LRRC15 in TNBC. Methods: 3,038 TNBC samples were analyzed via Next-Generation Sequencing (592, NextSeq; Whole Exome Sequencing, NovaSeq) and Whole Transcriptome Sequencing (NovaSeq; Caris Life Sciences, AZ). Immune cell fractions were estimated using WTS deconvolution (Quantiseq). Stromal cell abundance in the tumor microenvironment (TME) was estimated from RNA expression profiles using MCP Counter. LRRC15 -high (H) and -low (L) tumors were classified by RNA expression above or below the 25th percentile. Real-world overall survival (OS) and treatment-related survival were derived from insurance claims and calculated from tissue collection or treatment initiation to last contact using Kaplan-Meier. Statistical significance was assessed using chi-square and Mann-Whitney U tests with multiple comparison adjustments (q < .05). Results: LRRC15 -H TNBC tumors had higher frequency of PIK3CA (25.9% vs 16.8), PIK3R1 (6.2% vs 1.6%), PTEN (11.3% vs 5.8%), but lower frequency of RB1 (7.8% vs 12.1%) and KMT2D (2% vs 4.4%) compared to LRRC15 -L, all q < 0.05. LRRC15 -H had higher PD-L1 positivity (32.3% vs 24.5%, q < 0.05). Analysis of immune cells showed LRRC15 -H TNBC had higher infiltration of B cells (4.2% vs 3.5%), M1 macrophages (4.3% vs 2%), M2 macrophages (4% vs 2.5%), Tregs (1.9% vs 1.1%), neutrophils (4.9% vs 3.9%), CD8 + T cells (0.4% vs 0.1%), but lower dendritic cells (2.5% vs 3%), all q < 0.05. LRRC15 -H tumors had greater abundance of CAFs (575.6 vs 93.78, 6.14 fold change (FC)) and endothelial cells (7.3 vs 3.7, 1.97 FC), all q < 0.05. LRRC15 -H had higher T-cell inflamed score (71.5 vs -77) and IFNg score (-0.14 vs -1.72), all q < 0.05. LRRC15 -H tumors had higher expression of immune checkpoint genes ( CD274, PDCD1, PDCD1LG2, CTLA4, LAG3, HAVCR2, FOXP3, IDO1, TNFSF14, TIGIT, BTLA, CEACAM1, CD47, CD80, CD86, CD160, CD274 ; FC 1.2-2.5, q < 0.05). LRRC15 -H was associated with better OS (mOS: 24.7 vs 13.6 months; HR 0.61, 95% CI 0.53-0.7, p < 0.001). Post-pembrolizumab survival was longer for LRRC15 -H patients (mOS: 27.2 vs 19.4 months; HR 0.61, 95% CI 0.42-0.89, p = 0.01). Conclusions: LRRC15 -H TNBC exhibited better outcomes with pembrolizumab, likely due to higher immune cell fractions and increased CAFs. These findings highlight TNBC heterogeneity and position LRRC15 as a potential biomarker for tumor stratification, a possible adverse prognostic biomarker and a positive predictive biomarker. Ongoing phase I trials targeting LRRC15 show promise. Combining LRRC15 -targeted therapies with immunotherapy may improve TNBC outcomes, warranting further validation in breast cancer models.

1051 Background: Hispanics or Latinos (HL) and African Americans or Black (AA) have a higher prevalence of advanced-stage breast cancer (BC) at diagnosis compared to Non-Hispanic Whites (NHW). To understand the role of immune system, we evaluated the tumor immune microenvironment (TIME) by race/ethnicity among HL, AA, and NHW BC patients. Methods: 15544BC samples were tested by NGS (592, NextSeq; WES, NovaSeq) and WTS (NovaSeq; Caris Life Sciences, Phoenix, AZ). Race/ethnicity data is self-reported. Immune cell were estimated using WTS deconvolution (Quantiseq). Gene expression profiles were analyzed for T-cell inflammation score (TIS) and interferon-gamma (IFN-gamma) score. Real-world overall survival (OS) was obtained from insurance claims and calculated from date of tumor biopsy to last contact using Kaplan-Meier estimates. Statistical significance was determined by chi-square and Mann-Whitney U test with p -values adjusted for multiple comparisons (q < .05). Results: 7170 NHW (35.3%, N = 2528) biopsied (bx) from primary breast cancer (pBC), 64.7% (N = 4642) metastatic bx (mBC), 1,508 AA (pBC 39.3% N = 592, mBC 60.7% N = 916), and 1,754 HL (pBC 44.1% N = 774, mBC 55.9% N = 980) cases were included. By subtype, there were 1,956 (60.4% NHW, 20.7% NHB, 18.9% HL) TNBC, 3425 HR+/HER2- (72.6% NHW, 11.9% NHB, 15.6% HL), and 694 HER2+ (64.6% NHW, 15.7% NHB, 19.7% HL). Across all cases, AA (20.5%) and HL (20.4%) had greater incidence (%) of PD-L1+ cases versus (vs) NHW (17.4%), all q < .05. TMB-High (³10 mut/Mb) was similar in NHW (11.5%), AA (10.8%), and HL (10.9%). AA tumors had lower median % cell infiltration of M2-like macrophages (M2 Mφ), B cells, and neutrophils vs NHW (Table). HL had a lower fraction of M2 Mφ and higher CD8+ T cells (Table). AA had lower TIS (-8 vs 1, p = .02) while HL had lower IFN-gamma (-0.38 vs. -0.35, q < .05) vs NHW. By subtype, AA had lower neutrophils (4% vs 4.3%) and increased DC fractions (3.1% vs 2.8%) in TNBC vs NHW, all q < .05; no significant changes seen in HL vs NHW. AA had worse mOS than NHW overall (31.8 vs 36.8 months (mo)), HR 1.1, 95% CI 1 – 1.2, p = < .01), in pBC (40.3 vs 49.9 mo, HR 1.3, 95% CI 1.1 – 1.5, p = < .01), but not mBC (27.4 vs 29.1 mo, HR 1, p = 0.2). HL had similar mOS vs NHW overall (37.4 vs 36.8 mo, HR 0.9, p = 0.9) and in mBC (29.1 vs 31 mo, HR 0.96, p = 0.4), but worse mOS in pBC (44.7 vs 50.0 mo, HR 1.1, 95% CI 1 – 1.3, p = .01). Conclusions: Our study shows worse mOS in AA and HL pBC cases vs NHW, possibly from a less inflamed TIME in AA and HL and lower fraction of neutrophils and M2 Mφ despite higher % of PD-L1+. Targeting Mφ and CD8+ T cells and converting cold to hot TIME may lessen race/ethnic disparities, especially in early-stage BC. Immune cell fraction of NHW, AA and HL BC. NHW (median %) AA (median %) HL (median %) q-valueNHW vs AA q-value NHW vs HL B cell 5.2 4.8 5.0 <.05 0.7 DC 2.6 2.7 2.6 0.08 0.4 M1 Mφ 2.5 2.4 2.4 0.4 0.9 M2 Mφ 4.6 3.7 4.2 <.05 <.05 Neutrophils 3.7 3.5 3.4 <.05 <.05 NK cell 2.9 2.9 2.9 0.7 0.6 CD8+ T cell 0.1 0.15 0.26 0.8 <.05 Treg 1.5 1.5 1.6 0.6 <.05

570 Background: Major histocompatibility complex class I (MHC I) plays a critical role in immune surveillance by binding peptides derived from intracellular proteins and presenting them on the cell surface for recognition by CD8+ T cells. Loss or downregulation of MHC I expression has been identified as a key mechanism of immune evasion in cancers. Here, we evaluated MHC I expression and outcomes in all subtypes of breast cancer (BC). Methods: 9,038 BC samples were analyzed via NGS (592-gene panel, NextSeq; WES/WTS, NovaSeq; Caris Life Sciences, Phoenix, AZ), including triple-negative BC (TNBC) 3,038, HER2-positive (HER2+) 1,082, and hormone receptor-positive (HR+HER2-) 4,918. Immune cell fractions were estimated using WTS deconvolution (Quantiseq). MHC I ( HLA-A / HLA-B / HLA-C )-high (H) and -low (L) were classified by RNA expression above or below the 25th percentile. Real-world overall survival (OS) was derived from insurance claims and calculated from tissue collection to last contact using Kaplan-Meier. NanoString IO360 was performed in 114 samples from the FinXX trial (NCT00114816). Statistical significance was assessed using chi-square, Mann-Whitney U, ANOVA, and Cox regression with multiple comparison adjustments (q<.05). Results: TNBC had higher expression of HLA-A and HLA-B (median TPM: 169 and 191) compared to HER2+ (146.6 and 170, q<0.05) and HR+HER2- (141.7 and 157.5, q<0.05). However, there was no significant difference in HLA-C expression across 3 BC subtypes. In TNBC, MHC I-H tumors had higher frequencies of PD-L1 positivity (66.2% vs. 13.1%) as well as higher infiltration of B cells (4.5% vs. 3.2%), M1 macrophages (5% vs. 1.5%), M2 macrophages (4% vs. 2.1%), Tregs (2.8% vs. 0.8%), CD8 + T cells (1.8% vs. 0%), dendritic cells (3.2% vs. 2.8%), higher T-cell inflamed score (137 vs. -144), and IFN g score (0.02 vs. -0.49) compared to MHC I-L TNBC (all q<.05). MHC I-H TNBC was associated with significant improvement in median OS (30.1 vs. 15.2 months, HR 0.55, 95% CI 0.46-0.65, p<0.0001). However, this survival difference was not observed in patients with MHC I-H vs. MHC I-L in HER2+ (HR 1.04, 95% CI 0.74-1.47, p = 0.81) and HR+HER2- (HR 0.87, 95% CI 0.75-1.02, p= 0.09) BC subtypes. We further validated the MHC I expression in the FinXX trial. Similarly, patients with MHC I-H had significant improvement in recurrence-free survival (HR 0.27, 95%CI 0.11-0.66, p = 0.002) and OS (HR 0.23, 95% CI 0.09-0.57, p = 0.0005) compared to MHC I-L. Conclusions: Our findings demonstrate that higher MHC I expression is associated with higher immune infiltration and improved outcomes in TNBC but not in HER2+ or HR+HER2- BC subtypes. These results suggest that MHC I expression plays a critical role in the tumor microenvironment of TNBC. Future studies are needed to evaluate the prognostic value and potential therapeutic target of MHC I in TNBC. Support: Breast Cancer Research Foundation, Bankhead Coley, W81XWH-18-1-0564. Clinical trial information: NCT00114816 .

TPS2695 Background: The SMARCB1/A4 gene products are core subunits of the SWItch/Sucrose Non Fermentable (SWI/SNF) chromatin remodeling complex. Tumors with defects in SWI/SNF are histologically distinct aggressive cancers occurring in children and young adults. SMARCB1/A4 deficient tumors, particularly malignant rhabdoid tumor (MRT), atypical teratoid rhabdoid tumor (ATRT), poorly differentiated chordoma (PDC), epithelioid sarcoma (ES), and renal medullary carcinoma (RMC), have immune cell infiltrates and programmed death ligand 1 (PD-L1) expression. Responses to immune checkpoint inhibition (CI) have been observed in SMARCB1/A4 deficient tumors; however, responses are not durable. T cell immunoreceptor with Ig and ITIM domains (TIGIT) is a novel inhibitory receptor expressed on multiple immune cells. TIGIT inhibits T and NK cells by binding to its ligand poliovirus receptor (PVR) and Nectin2 on both tumor and antigen-presenting cells. Utilizing RNAseq data, SMARCB1/A4 deficient tumors demonstrate high expression of PVR and Nectin2. Tiragolumab is an antibody to the TIGIT receptor. The combination of tiragolumab and atezolizumab has shown promising activity in early phase studies, and phase 3 studies are ongoing in multiple adult indications. Thus, there is rationale that the addition of tiragolumab to CI may also enhance response rates in patients with SMARCB1/A4 deficient tumors. Methods: This is a phase 1/2 trial of tiragolumab monotherapy (300 mg if ≤ 15 kg; 420 mg if > 15 kg to ≤ 40 kg; 600 mg if > 40 kg or ≥ 18 years) and in combination with atezolizumab (15 mg/kg [max 1200 mg]) if < 18 yrs or 1200 mg if ≥ 18 years) administered IV on Day 1 of 21-day cycles in patients > 12 months of age with SMARCB1/A4 deficient tumors. Part A evaluating the safety of tiragolumab monotherapy in patients < 18 years based on cycle 1 dose limiting toxicities is complete. Part B estimates the antitumor activity of tiragolumab in combination with atezolizumab in 6 histology-specific cohorts (RMC, MRT, ATRT, PDC, ES, and other SMARCB1/A4 deficient tumors) and is now open to all eligible age groups. Each cohort is conducted using a 6+4 Simon’s two stage design. Enrollment for each cohort is as follows: Part A 6/6, Part B RMC 1/6, MRT 1/6, ATRT 4/6, PDC 2/6, ES 3/6, other 6/6. Radiographic imaging central response assessment for the first stage of the “other” cohort is ongoing. Cycle 1 toxicities of the combination therapy are monitored in Part B patients < 12 yrs using a Bayesian Optimal INterval (BOIN) design with a target toxicity of 17%. Secondary objectives are to characterize the pharmacokinetics/anti-drug antibody development and to estimate progression free survival, overall survival, and duration of response. Enrollment is open at all Pediatric Early Phase Clinical Trial Network sites. Data cutoff: Jan 10, 2025. Clinical trial information: NCT05286801 .

5022 Background: Racial disparities are evident in PCa, with Black men experiencing a higher incidence and worse survival compared to NHW patients (pts). The molecular alterations that distinguish these groups remain incompletely characterized. Herein, we investigate the clinical-genomic features that potentially contribute to the differences in outcomes between Black and NHW pts with PCa. Methods: Comprehensive next-generation sequencing of DNA (592-gene panel/whole exome) and RNA (whole transcriptome) was performed at Caris Life Sciences on PCa tissue samples (n = 5,412), collected from 2015 to 2023. Transcriptomic signatures – Androgen Receptor (AR), Neuroendocrine PCa (NEPC) scores – were calculated. Real-world overall survival (OS) data was obtained from insurance claims and was analyzed using Kaplan-Meier estimation. Results: Overall, 1,078 pts with PCa identified as Black, while 4,334 were NHW. Black pts were younger at biopsy collection than NHW pts (median age 66 vs 71 years, P < 0.001). The proportion of metastatic samples was higher in Black pts compared to NHW pts (43% vs 38%, P < 0.01). The prevalence of castrated PCa specimens was similar between Black and NHW pts (26.0% vs 25.4%, P = 0.72). Among non-castrated PCa tumors, tumors from NHW pts had more frequent alterations in TP53 , PTEN , PIK3CA , and CHEK2 , while tumors from Black pts had more SPOP and CTNNB1 mutations. In the castrate setting, TP53 and PTEN alterations were more frequent in tissue samples from NHW pts, while CDK12 and SPOP mutations were more frequent in tumors from Black pts. TMPRSS2 fusions were more prevalent in the NHW cohort across both castrated and non-castrated tumors. Tumors from Black pts had higher FOLH1 / PSMA and STEAP1 expression, elevated AR scores, but lower CD276 / B7H3 expression and NEPC scores. In the overall cohort, Black pts demonstrated a shorter median OS from diagnosis compared to NHW pts (86 vs 94 mos, P = 0.03). Black pts had a significantly longer time on treatment with enzalutamide in both the non-castrate (HR 0.82, P= 0.04) and castrate subgroups (HR 0.77, P= 0.03). Among pts with homologous recombination repair (HRR) deficiency-harboring tumors, PARP inhibitors provided a numerically longer survival benefit in Black pts than in NHW pts (21 vs 13 mos, P = 0.09). Conclusions: This multi-institutional study reveals distinct molecular profiles between Black and NHW pts with PCa. Despite having molecular features associated with better prognosis, Black men demonstrated worse survival outcomes, pointing to multifaceted determinants of disease outcomes. Notably, Black pts had improved outcomes on enzalutamide and showed potential benefit from PARP inhibitors in the presence of HRR mutations. These findings highlight genomic differences in diverse PCa populations and suggest therapeutic opportunities to address outcome disparities.

4166 Background: GN is a front-line therapy for aPDAC. A Phase I/II study demonstrated that GCN has a higher overall response rate and median overall survival (mOS). Our previous study found no difference in outcomes among patients with DNA damage repair gene mutations; however, stromal gene expression correlated with mOS in patients receiving GCN. Here, we further evaluate differences in the outcomes with GCN and GN by site of biopsy. Methods: PDAC samples (n = 4,463) were analyzed by NGS (NextSeq/NovaSeq) or RNA (NovaSeq) (Caris Life Sciences, Phx, AZ). Expression of stromal and related genes ( ACTA2, ADIRF, HAS2, IL-6, MMP-2, MMP-9, SPARC, STAT3, TBGB1, TGFB2, TGFBR3, IDO1, HLA-DRB4, VEGFB) from different biopsy sites [high expression (H) >50% of RNA transcripts per million] was correlated with outcomes to GCN or GN. mOS was obtained from insurance claims and calculated from first treatment to last contact. The hazard ratio (HR) was calculated by the Cox proportional hazards model, and p-values were calculated using the log-rank test. Results: 4325 patients [primary biopsy (PT), n = 1,878; non-liver metastatic biopsy (N-LM), n = 818; Liver biopsy (LM), n = 1,629] received GN while 138 patients (PT, n = 45; N-LM, n = 28; LM, n = 65) received GCN. GCN was associated with longer mOS than GN [∆: 5.2 months (m), HR: 0.76, 95% CI 0.63-0.92, p = 0.01]. GCN was associated with longer mOS compared to GN in LM (∆: 5.6 m, HR: 0.66, 95% CI 0.50-0.87, p = 0.003), but it was not significant in PT (∆: 4.6 m, p = 0.13) and N-LM (∆: 4.4 m, p = 0.35). Median MMP2 (38.5 vs. 163.1 vs. 162.2), VEGFB (14.4 vs. 16.9 vs. 16.2) and TGFBR3 (11.4 vs. 15 vs. 16.4) expression were lower in LM compared to PT and N-LM while TGFB1 (41.6 vs. 34.5 vs. 39.8) and IL6 (1.61 vs. 1.19 vs. 1.41) expression were highest in LM (p < 0.05). In LM, IL6 -H (∆: -11 m, p = 0.037) and TGFB1 -H (∆: -5.9 m, p = 0.10) were associated with worse post-GCN survival compared to GN (p = 0.82 and p = 0.57). Whereas, in N-LM, TGFBR3 -H trended towards longer post-GCN survival (∆: 12 m, p = 0.18), while ADIRF -H trended towards shorter post-GCN survival (∆: -12 m, p = 0.056) compared to GN (p = 0.42 and p = 0.10). While in PT, MMP2 -H (∆: 11.3m, HR: 0.46, p = 0.16), TGFB1 -H (∆: 11.3 m, HR: 0.33, p = 0.09), HLA-DRB4 -H (∆: 12.9 m, HR: 0.44, p = 0.11) and VEGFB -H (∆: 10.7, HR: 0.34, p = 0.09) trended towards longer post-GCN survival compared to GN ( MMP2 -H, ∆: 3.4 m, p = 0.03, TGFB1 -H, p = 0.661, HLA-DRB4 -H, p = 0.67, VEGFB-H , ∆: 1.3 m, p = 0.03). Conclusions: GCN is associated with improved mOS compared to GN, especially in LM.Stromal gene expression in the liver differs from that in N-LM and the pancreas. While high stromal gene expression trends towards worse post-GCN survival in LM, it is associated with improved survival in N-LM and PT. Further validation is needed to understand the impact of stromal gene expression in different tumor sites on survival outcomes and signature development.

12005 Background: Young adults (YAs) diagnosed with cancer between the ages of 18 and 39 face unique psychosocial challenges and are at risk of experiencing significant emotional distress and poor health-related quality of life (HRQOL). This randomized trial evaluated the efficacy of Bright IDEAS-YA, a problem-solving skills training intervention, on reducing distress and improving HRQOL of YAs newly diagnosed with cancer. A secondary aim examined change in problem-solving ability as a potential mediator of treatment effects. Methods: A three-site randomized trial of Bright IDEAS-YA compared with enhanced usual care (EUC) enrolled YA survivors within four months of a first diagnosis of cancer. Participants were randomized 1:1 to Bright IDEAS-YA or EUC (NCT04585269). Bright IDEAS-YA is a 6-session, one-on-one intervention that teaches a systematic approach to overcome personal challenges across any life domain. EUC involved usual psychosocial care plus AYA resources. Participants completed surveys at 0 (baseline), 3, 6, 12, and 24 months, with 6 months as the primary endpoint. Validated measures included the PROMIS Depression Short Form and Anxiety Short Form (primary outcomes), the Functional Assessment of Cancer Therapy – General (FACT-G; primary outcome), and Social Problem-Solving Inventory-Revised Short Form (SPSI-R; mediator). Efficacy was tested using linear mixed effects models, run in R, examining the group x time interaction effects. Mediation was tested using the R multiple mediation analysis. Results: 344 YA (34.2% acceptance rate, M age = 30.3 years, SD = 6.3; 63% female, 37% male, < 1% non-binary) participated (100% planned enrollment), with 86% and 81% completing surveys at 3 and 6 months, respectively. Compared to baseline, the intervention arm showed statistically significant improvements in depression, anxiety, and HRQOL relative to the control group at 6 months. The intervention arm demonstrated an average reduction of 3.2 T-score points reduction in depression (95% CI [-4.9, -1.5], p < 0.001), 2.4 T-score points in anxiety (95% CI [-4.0, -0.81], p = 0.003), and 3.4 points improvement in total FACT-G (95% CI [0.34, 6.5], p = 0.029) relative to the control. These differences reflect clinically meaningful changes per published reports. Across all three models, change in total problem-solving ability (SPSI-R) was shown to mediate treatment effects, primarily due to change in the negative problem-orientation subscale. Conclusions: Bright IDEAS-YA was efficacious in reducing symptoms of depression and anxiety and improving HRQOL compared with enhanced usual care among YAs with cancer. Improvements are attributable to increased problem-solving ability, particularly by reducing the tendency to view problems as significant threats and doubt one’s ability to successfully solve problems. Clinical trial information: NCT04585269 .

Abstract Osteogenic differentiation is essential for bone development, metabolism, and repair; however, the underlying regulatory relationships among genes remain poorly understood. To elucidate the transcriptomic changes and identify novel regulatory genes involved in osteogenic differentiation, we differentiated mesenchymal stem cells (MSCs) derived from 20 human iPSC lines into preosteoblasts (preOBs) and osteoblasts (OBs). We then performed transcriptome profiling of MSCs, preOBs and OBs. The iPSC-derived MSCs and OBs showed similar transcriptome profiles to those of primary human MSCs and OBs, respectively. Differential gene expression analysis revealed global changes in the transcriptomes from MSCs to preOBs, and then to OBs, including the differential expression of 840 genes encoding transcription factors (TFs). TF regulatory network analysis uncovered a network comprising 451 TFs, organized into five interactive modules. Multiscale embedded gene co-expression network analysis (MEGENA) identified gene co-expression modules and key network regulators (KNRs). From these analyses, KLF16 emerged as an important TF in osteogenic differentiation. We demonstrate that overexpression of Klf16 in vitro inhibited osteogenic differentiation and mineralization, while Klf16+/- mice exhibited increased bone mineral density, trabecular number, and cortical bone area. Our study underscores the complexity of osteogenic differentiation and identifies novel regulatory genes such as KLF16, which plays an inhibitory role in osteogenic differentiation both in vitro and in vivo.

Abstract Osteogenic differentiation is essential for bone development, metabolism, and repair; however, the underlying regulatory relationships among genes remain poorly understood. To elucidate the transcriptomic changes and identify novel regulatory genes involved in osteogenic differentiation, we differentiated mesenchymal stem cells (MSCs) derived from 20 human iPSC lines into preosteoblasts (preOBs) and osteoblasts (OBs). We then performed transcriptome profiling of MSCs, preOBs and OBs. The iPSC-derived MSCs and OBs showed similar transcriptome profiles to those of primary human MSCs and OBs, respectively. Differential gene expression analysis revealed global changes in the transcriptomes from MSCs to preOBs, and then to OBs, including the differential expression of 840 genes encoding transcription factors (TFs). TF regulatory network analysis uncovered a network comprising 451 TFs, organized into five interactive modules. Multiscale embedded gene co-expression network analysis (MEGENA) identified gene co-expression modules and key network regulators (KNRs). From these analyses, KLF16 emerged as an important TF in osteogenic differentiation. We demonstrate that overexpression of Klf16 in vitro inhibited osteogenic differentiation and mineralization, while Klf16+/- mice exhibited increased bone mineral density, trabecular number, and cortical bone area. Our study underscores the complexity of osteogenic differentiation and identifies novel regulatory genes such as KLF16, which plays an inhibitory role in osteogenic differentiation both in vitro and in vivo.

Background Right ventricular (RV) maladaptation to elevated pulmonary afterload is the primary determinant of outcomes in pulmonary artery (PA) hypertension; however, the pathobiological mechanisms underlying RV decompensation remain poorly understood. Methods We performed global untargeted metabolomics on plasma from 55 patients who underwent gold‐standard RV‐PA coupling measurements using multibeat pressure volume loop assessment in a single‐center cohort and from 1027 patients with coupling surrogate measurements in a larger multicenter cohort, the PVDOMICS (Pulmonary Vascular Disease Phenomics) study. Age and sex‐adjusted linear regression was performed to identify associations between metabolites and coupling metrics. Additionally, we performed a metabolic flux analysis using gene expression data from RV tissue in an independent cohort of 32 patients. Partial least squares–discriminant analysis was used to identify metabolites and reactions characteristic of the decompensated RV. Results RV‐PA coupling was negatively associated with tricarboxylic acid (TCA) cycle intermediate levels. Specifically, plasma α‐ketoglutarate and fumarate were significantly associated with all coupling metrics in both cohorts. Metabolic flux analysis indicated that decompensated RVs exhibited aberrant TCA cycle activity, including reduced acetyl coenzyme A entry and increased lactate elimination, suggesting a shift from the TCA cycle toward glycolysis at the RV tissue level. Conclusions We identify an association between circulating TCA cycle intermediate levels and RV‐PA uncoupling in 2 independent cohorts, and dysregulated TCA cycle metabolism in decompensated PA hypertension RVs, suggesting that aberrant TCA cycle metabolism could represent a hallmark of RV maladaptation in PA hypertension. Further study of this pathway is warranted to develop novel biomarkers of RV function or RV‐targeted therapies.