Citations

e24015 Background: Anthracyclines are effective cancer therapeutics but can cause cardiotoxicity. Recent studies suggest a connection between efficacy and toxicity in that the effects of anthracyclines on cancer cells leads to the release of interleukin 1-alpha (IL-1⍺), which negatively impacts cardiomyocyte metabolism and thereby cardiac function. This observation was made in in vivo and in vitro models of acute myeloid leukemia (AML); whether this holds true for other cancer cell lines remains unclear. Methods: Herein we characterized the cytokine profile of 9 cancer cell lines exposed to doxorubicin (1 µM for 24 hours) and then tested the effects of interleukin 1-alpha (IL-1⍺, 50-150 ng/mL) on the viability and metabolism of neonatal cardiomyocyte. We used Seahorse to assess cardiomyocyte glycolysis via extracellular acidification rate (ECAR) and mitochondrial oxidative phosphorylation based on the oxygen consumption rate (OCR). Results: As outlined in Table 1, different hematological and breast cancer cell lines showed a range of cytokine profile in response to doxorubicin exposure. Of the cytokines with putative action on cardiomyocyte metabolism IL-1⍺was one of the most induced in 3 out of 5 murine breast cancer, murine B- and T-cell lymphoma, as well as murine and human AML human and murine cell lines. Doxorubicin did not induce IL-1⍺ expression in macrophage cell lines (RAW) or directly in cardiomyocytes. Exposing neonatal cardiomyocytes to different concentrations of IL-1⍺ did not decrease but rather increased OCR and especially ECAR. Conclusions: These data confirm the release of IL-1⍺ from AML as well as several, but not all breast cancer cell lines. Furthermore, purified IL-1⍺ increased oxidative phosphorylation and glycolysis in murine neonatal cardiomyocytes. These data point out heterogeneity in the cytokine release pattern from anthracycline-treated cancer cell lines and their impact on cardiomyocyte metabolism. Further studies are required to define the nuances of crosstalk between cancer and the heart and its contribution to the variation in cardiotoxicity risk. Cytokine profile of cancer cell lines. Cytokines RAW Neonatal MC38HuPD-L1 EMT6 JC E0771 4T1 B Lymphoma: A20 T Lymphoma: E.G7-OVA AML Human: THP-1 AML mouse: C1498 ICAM-1, CD54 ++ ++ ++ ++ ++ ++ IL-1α IL-1F1 + + + + + + + IL-10 + + IL-16 ++ ++ ++ CXCL10/CRG-2 ++ + ++ ++ ++ ++ ++ ++ ++ M-CSF ++ ++ ++ + ++ ++ ++ ++ + RANTES CCL5 + ++ ++ ++ ++ TNF-α +++ + ++ + + + + +

e13656 Background: Evidence-based medicine is crucial for clinical decision-making, yet studies suggest that a significant proportion of treatment decisions do not fully incorporate the latest evidence. Large Language Models (LLMs) show promise in bridging this gap, but their reliability for medical recommendations remains uncertain. Methods: We conducted an evaluation study comparing five LLMs’ recommendations across 50 clinical scenarios related to multiple myeloma diagnosis, staging, treatment, and management. The evaluation included three general-purpose LLMs (OpenAI o1-preview, Claude 3.5 Sonnet, Gemini 1.5 Pro), one retrieval-augmented generation (RAG) system (Myelo), and one agentic workflow-based system (HopeAI). General-purpose LLMs generated responses based solely on their internal knowledge, while the RAG system enhanced these capabilities by incorporating external knowledge retrieval. The agentic workflow system extended the RAG approach by implementing multi-step reasoning and coordinating with multiple tools and external systems for complex task execution. Three independent hematologist-oncologists evaluated the LLM-generated responses using standardized scoring criteria developed specifically for this study. Performance assessment encompassed five dimensions: accuracy, relevance, comprehensiveness, hallucination rate, and clinical use readiness. Results: HopeAI demonstrated superior performance across accuracy (82.0%), relevance (85.3%), and comprehensiveness (74.0%), compared to OpenAI o1-preview (64.7%, 57.3%, 36.0%), Claude 3.5 Sonnet (50.0%, 51.3%, 29.3%), Gemini 1.5 Pro (48.0%, 46.0%, 30.0%), and Myelo (58.7%, 56%, 32.7%). Hallucination rates were consistently low across all systems: HopeAI (5.3%), OpenAI o1-preview (3.3%), Claude 3.5 Sonnet (10.0%), Gemini 1.5 Pro (8.0%), and Myelo (5.3%). Clinical use readiness scores were relatively low for all systems: HopeAI (25.3%), OpenAI o1-preview (6.0%), Claude 3.5 Sonnet (2.7%), Gemini 1.5 Pro (4.0%), and Myelo (4.0%). Conclusions: This study demonstrates that while current LLMs show promise in medical decision support, their recommendations require careful clinical supervision to ensure patient safety and optimal care. Further research is needed to improve their clinical use readiness before integration into oncology workflows. These findings provide valuable insights into the capabilities and limitations of LLMs in oncology, guiding future research and development efforts toward integrating AI into clinical workflows.

TPS5130 Background: Patients with prostate cancer and deleterious HRRa have poorer prognosis but derive benefit from poly (ADP-ribose) polymerase (PARP) inhibition. However, prevalence of HRRa and response to PARP inhibition are less well defined in racial/ethnic minorities. We designed the HARMONY trial to evaluate the efficacy of N/AA/P in HL and NHB patients with mHSPC and deleterious HRRa. Methods: This multicenter, open label, phase II study is open through the Hoosier Cancer Research Network in the United States. The trial enrolls patients who self-identify as HL or NHB and have mHSPC with HRRa including BRCA 1/2, BRIP1, CHEK2, FANCA, PALB2, RAD51B, and/or RAD54L. Eligible patients will have hormone sensitive, treatment naïve or minimally treated prostate cancer (i.e., bicalutamide ≤ 45 days, androgen deprivation therapy [ADT] ± AA plus P ≤ 45 days allowed). Prostate cancer variants, other therapy in mHSPC setting, or symptomatic brain metastases are exclusionary. Enrolled patients will receive 24 weeks (w) of ADT plus N/AA dual action tablet (DAT) plus P, followed by an adaptive approach based on prostate specific antigen (PSA) response. Subjects in Arm A (PSA > 4.0 ng/mL at 24 w) can continue ADT/N/AA/P for max 2 years or stop N and escalate therapy to ADT/AA/P plus 6 cycles of docetaxel followed by standard of care (SOC) therapy. Subjects in Arm B (PSA ≤ 4.0 ng/mL at 24 w) will continue ADT/N/AA/P for a total of 12 months. At 12 months in Arm B, subjects with PSA ≥ 0.2 ng/mL will continue ADT/N/AA/P for max 2 years, and subjects achieving PSA < 0.2 ng/mL have the option to continue ADT/N/AA/P for max 2 years or discontinue all therapy with the option to start SOC treatment at disease progression. PSA decline to < 0.2 ng/mL at 24w (primary endpoint) will be evaluated for each racial/ethnicity group against a historic rate of 50%. Thirty patients per racial/ethnic cohort will give 80% power at 0.1 significance to determine noninferiority with a no-inferiority margin of 0.185. Estimating 5% drop out, 64 patients will be enrolled (n=32 HL and n=32 NHB). Key secondary/exploratory endpoints include PSA reduction ≥ 90%, overall response rate, PSA/radiographic progression free survival, overall survival, time to subsequent anti-cancer therapy, quality of life and safety. Key genomic correlatives will be evaluated. ClinicalTrials.gov: NCT06392841. Study support of drug and funding: Janssen Scientific Affairs LLC. Clinical trial information: NCT06392841 .

6506 Background: NPM1 -m drives leukemogenesis in ~30% of AML. Despite current risk stratification, nearly half will have R/R disease within a year, after which outcomes are poor with <10% complete response following chemotherapy. Ziftomenib – a potent, highly selective, oral, investigational menin inhibitor – has shown clinical activity as monotherapy and in combination for adults with R/R NPM1 -m and KMT2A -r AML, with 600 mg once-daily (QD) as the recommended phase 2 monotherapy dose for NPM1 -m. Here we present the primary analysis for NPM1 -m patients (pts) treated with ziftomenib 600 mg QD in the pivotal KOMET-001 study. Methods: KOMET-001 (NCT04067336) is a multicenter, open-label phase 1/2 study of ziftomenib in adults with R/R AML. In phase 2, pts with NPM1 -m R/R AML received ziftomenib 600 mg QD. Phase 2 primary endpoint: complete remission with full/partial hematologic recovery (CR/CRh); key secondary endpoints: composite complete remission (CRc), durations of CR/CRh and CRc, and safety. The analyses below include NPM1 -m pts pooled from phase 1b/2. Results: The phase 2 primary endpoint was met ( p =0.0058). As of 20 Dec 2024, 112 pts were enrolled (51% US/Canada, 49% Europe/UK) in phase 1b/2 and treated with ziftomenib 600 mg QD, with a median follow-up of 4.2 months. Median age was 69 yrs (range 22–86), 56% female, 83% ECOG PS 0–1, median of 2 prior therapies (range 1–7), including 60% prior venetoclax (VEN) and 23% prior transplant. CR/CRh rate in all phase 1b/2 pts was 25% (28/112; 95% CI 17–34) and overall response rate was 35% (39/112; 95% CI 26–44). In phase 2 pts, 23% (21/92; 95% CI 15–33) achieved CR/CRh (Table), with 67% (10/15) MRD negativity among CR/CRh responders tested (local). Comparable CR/CRh rates were observed in both VEN-naïve and exposed pts (21% vs. 24%). Ziftomenib was well tolerated with 3% (3/112) discontinuing due to treatment-related adverse events (TRAEs). 40% (45/112) of pts had Grade (Gr) ≥3 TRAEs, including 13% differentiation syndrome (all Gr3), ≤5% each anemia, febrile neutropenia and thrombocytopenia, and 2% QTc prolongation (Gr3). Updated clinical activity and safety data will be presented. Conclusions: In the pivotal KOMET-001, the phase 2 primary endpoint was met: Ziftomenib achieved deep and durable responses in R/R NPM1 -m AML, regardless of prior VEN. Ziftomenib was well tolerated with limited myelosuppression and only 3% ziftomenib-related discontinuations. Taken together, these data support the potential use of ziftomenib monotherapy as a new treatment option for R/R NPM1 -m AML. Clinical trial information: NCT04067336 . Response, n (%) Phase 2600 mg QDN=92 Phase 1b/2600 mg QDN=112 CR 13 (14) 20 (18) CR/CRh 21 (23) 28 (25) CRc 24 (26) 32 (29) Median duration, months (95% CI) CR/CRh 3.7 (1.9–NE) 3.7 (1.9–7.7) CRc 4.6 (2.8–11.4) 5.1 (2.8–8.1) Restricted mean duration, months (95% CI) CR/CRh 4.3 (3.1–5.6) 5.2 (3.6–6.7) CRc 5.9 (4.0–7.7) 6.4 (4.6–8.1)

7506 Background: IV Isa-Pd is approved to treat RRMM patients (pts) based on the ICARIA-MM study. A Phase 1b study showed safety and efficacy of Isa SC via an OBDS, an investigational wearable bolus injector, plus Pd, in RRMM pts. Isa SC offers shorter duration, fixed dose and smaller administration volume. Here, we report results of the IRAKLIA trial (NCT05405166); Isa SC vs IV + Pd in RRMM pts, the first Phase 3 myeloma trial reporting the use of an OBDS. Methods: This multicenter, open-label study enrolled pts aged ≥18 years with ≥1 prior line of therapy (LOT). Pts were randomized 1:1 to Isa SC (1400 mg) or Isa IV (10 mg/kg) weekly in Cycle (C)1, then every 2 weeks + P (4 mg/day, Day [D]1–21) + d (40 mg [20 mg if age ≥75 years] weekly). Pts had 4-week cycles until progression, unacceptable toxicity or patient request. Co-primary endpoints were overall response rate (ORR; non-inferiority [NI] margin of 0.839) and Isa trough level (C trough ) at steady state (predose at C6D1; NI if lower limit of 90% CI of geometric mean ratio ≥0.8). Results: 531 pts (SC n=263; IV n=268 [4 not treated]) were randomized. Baseline characteristics were balanced (median age 66 years; median 2 prior LOT). After median 12 months follow-up, ORR was 71% (SC arm) and 71% (IV arm; relative risk [95% CI] = 1.008 [0.903–1.126]; lower CI > NI margin). Mean (SD) C trough at C6D1 was 499 (259) μg/mL for SC and 340 (169) μg/mL for IV. C trough geometric mean ratio (90% CI) was 1.532 (1.316–1.784); lower CI > NI margin. Co-primary and all 4 key secondary endpoints including pt experience are in the Table. Grade ≥3 treatment-emergent adverse events occurred in 82% (SC) and 76% (IV) of pts; with treatment discontinuation rates of 8% and 9%. Injection site reactions (ISRs) occurred in 4% (11/263) of the SC arm and in 19 (0.4%) of 5145 SC injections (all Grade 1–2). 99.9% of OBDS injections were completed without interruption. Conclusions: IRAKLIA met its co-primary endpoints, showing efficacy and pharmacokinetic NI between Isa SC vs IV + Pd. No new safety signal besides a low ISR incidence was observed, showing excellent Isa SC tolerability. Far fewer infusion reactions and higher pt satisfaction were also noted for SC vs IV. Efficacy and safety are comparable to Isa IV in ICARIA-MM. These results support potential use of Isa SC delivered via the OBDS, designed to improve pt experience and practice efficiency. Clinical trial information: NCT05405166 . Isa SC + Pd Isa IV + Pd Efficacy, % N=263 N=268 ORR 71 71 ≥VGPR 46 46 PK*, µg/mL N=131/121 N=126/121 Geometric mean Isa C trough at C2D1 / C6D1 360/426 277/278 Safety, % N=263 N=264 All grade IR 2 25 Pt satisfaction with injection method at C5D15, % 70 53 *PK was analyzed at C6D1 with PP PK population and at C2D1 with PP CT4W population. CT4W, C trough at 4 weeks; IR, infusion reaction; PK, pharmacokinetics; PP, per protocol; VGPR, very good partial response.

5064 Background: FoundationOneCDx (F1CDx) supports two FDA-approved biomarkers to guide treatment decisions for ICI for patients with mCRPC: MSI status and TMB. MSI-H and TMB-H (10+ mut/MB) have strongly overlapping prevalence. We sought to better characterize ICI outcome associations of TMB-H / non-MSI-H population and relative effectiveness of taxanes & ICI among patients who received these agents in sequence. Methods: Following a prespecified analysis plan, this study used the nationwide (US-based) de-identified Flatiron Health-Foundation Medicine mCRPC clinico-genomic database (FH-FMI CGDB), with data originating from ~280 US cancer clinics (~800 sites of care). Inclusion criteria included patients with mCRPC treated with single-agent anti-PD(L)1 therapy in the FH network between 1/1/2011 - 3/30/2024. This study used the MSI and TMB algorithms from the tissue based F1CDx. Time to next treatment (TTNT) and OS were assessed with Kaplan-Meier plots and in multivariable Cox models adjusted for ECOG performance score, socioeconomic status, prior treatment history, and baseline PSA. Among patients who received taxanes in a prior line of therapy, the effectiveness (TTNT1 vs. TTNT2) of taxane and ICI were compared. Results: Among 2995 prostate cancer tissue specimens in the database, 95 (3.1%) were MSI-H and 142 (4.7%) were TMB-H. 94 (3.1%) were MSI-H & TMB-H, 1 was MSI-H & TMB-L, and 48 (1.6%) were TMB-H & not MSI-H. Among these, 84 patients with mCRPC were treated with ICI and met inclusion criteria, including MSI-H & TMB-H (n = 30), non-MSI-H & TMB-H (n = 8), and non-MSI-H and TMB-L (n = 46). The respective median TTNT on ICI was 8.0 vs. 9.6 vs. 3 months. The respective median OS from initiation of ICI was 10.9 vs. not reached vs. 4.4 months. In multivariable models evaluating ICI only, compared to non-MSI-H & TMB-L, the MSI-H & TMB-H group had more favorable TTNT (HR: 0.20, 95%CI: 0.10 – 0.41, p < 0.001) and OS (HR: 0.33, 95%CI: 0.16 – 0.70, p = 0.004), and the non-MSI-H & TMB-H group also had more favorable TTNT (HR: 0.13, 95%CI: 0.04 – 0.45, p = 0.002) and OS (HR: 0.20, 95%CI: 0.05 – 0.75, p = 0.017). 50 of the 84 (60%) patients treated with ICI had prior mCRPC taxane treatment. Better TTNT2 on subsequent ICI vs. prior taxane was observed for MSI-H (HR: 0.49, 95%CI: 0.23 – 1.01, p = 0.051) and TMB-H (0.54, 95%CI: 0.30 – 0.98, p = 0.044), but the opposite was true for non-MSI-H and TMB-L subgroups, with significant treatment interactions for each (p = 0.0018, p = 0.00052). Conclusions: TMB-H (4.7%) is more prevalent than MSI-H (3.1%) by F1CDx in mCRPC. Non-MSI-H / TMB-H (1.6%) in the routine practice cohort have similar outcome associations on ICI to MSI-H. Both MSI-H and TMB-H by F1CDx are predictive of differential benefit for ICI vs. taxanes in later mCRPC treatment lines.

4185 Background: Elraglusib is a first-in-class inhibitor of GSK-3ß, a well-credentialed target in cancer implicated in intrinsic oncologic processes and tumor immune response. Preliminary results of the 1801 Part 3B trial (NCT03678883) showed statistically significant benefits for elraglusib+GnP versus GnP for 1-year survival and mOS in mPDAC (companion abstract: Mahalingam et al.). We investigated plasma levels of cytokines/chemokines/soluble cell receptors/growth factors (CCSG) as potential biomarkers of favorable outcomes on elraglusib. Methods: Forty CCSGs were evaluated in pre-dose plasma from patients with previously untreated mPDAC enrolled in 1801 Part 3B treated with GnP (n = 78) or elraglusib+GnP (n = 155) using a Luminex immunoassay. Using Kaplan-Meier statistics and cutpoint determination, CCSGs were assessed for OS predictive ability in the elraglusib+GnP arm. Multivariate models were constructed to predict binarized survival at 12 months using machine learning (ML). Fivefold cross-validation was used in both analyses, and all methods were applied to the GnP arm to identify elraglusib+GnP specific predictors. Results: Data shown as of November 15, 2024. Multiple CCSGs significantly stratified elraglusib+GnP patients. The most extreme prognosticators were IFN-ß (average HR = 2.34), and PD-L1 (average HR = 0.52) (HR shown as high CCSG vs low CCSG). Screening of different ML approaches ranked logistic regression at the top, and hyperparameter grid search identified stochastic gradient solver with ridge regularization as the optimal method. The model had an accuracy of 88% (SD: 3.9%) and a balanced accuracy of 80% (SD: 8.5%). IFN-beta had the most substantial effect size (odds ratio (OR) = 72.28), followed by IL-18 (OR = 23.38) and PD-L1 (OR = 15.32). All other CCSGs had an OR between 0.03 and 6.71. When this model was applied to patients in the GnP arm, accuracy was 68.4%, and balanced accuracy was 43.1%. Conclusions: Many CCSG biomarkers were identified as promising predictors of survival benefit in mPDAC patients treated with elraglusib+GnP. Both univariate statistical and multivariate ML approaches show predictive significance with high interpretability. The initial ML model is specific to elraglusib treatment, not GnP alone. These results indicate that patients’ initial immune state plays a role in response to elraglusib+GnP. However, single CCSGs for enrichment currently exclude too many patients ( > 75%), and thus, panels of biomarkers are being investigated with ML to overcome this limitation. The 1801 Part 3B clinical trial recruitment has been completed, and updated biomarker models reflective of topline OS data, available by April 2025, will be presented.

3145 Background: SnoRNAs are non-coding RNAs that primarily guide the chemical modification of ribosomal RNA. Emerging evidence suggests snoRNAs play critical roles in cancer, including CRC, by regulating cell proliferation, apoptosis and tumor progression. Aberrant snoRNA expression has been linked to CRC development and poor prognosis, offering potential as diagnostic biomarkers and therapeutic targets. We investigated whether the tumor expression levels of 3 types of snoRNAs (SCARNA, SNORA, SNORD) affect treatment response in pts enrolled in CALGB/SWOG 80405 (NCT00265850). Methods: 433 mCRC pts treated with bevacizumab (bev, n = 226) or cetuximab (cet, n = 207) in combination with first-line chemotherapy were analyzed. RNA was isolated from FFPE tumor samples and sequenced on the HiSeq 2500 (Illumina). 422 snoRNAs were evaluated (23 SCARNA, 140 SNORA, 259 SNORD). Overall survival (OS) and progression-free survival (PFS) were compared across tertiles of gene expression (high [H], medium [M], low [L]) by multivariable Cox proportional hazards models adjusted for age, sex, ECOG performance status, tumor side, number of metastatic sites, KRAS , CMS subtypes, and treatment. Interaction tests for the predictive effect (bev vs cet) were performed. P -values were corrected for multiple testing using the Benjamini-Hochberg approach ( q < 0.05). Results: Only SCARNA21 achieved statistical significance for OS after false discovery rate (FDR) adjustment. Tumors with H levels of SCARNA21 had shorter survival compared to tumors with M or L expression (median OS 24.4 vs 32.4 vs 33.9 months, respectively; P = 0.0015, q = 0.033), independent of treatment. No snoRNAs achieved FDR significance for PFS. However, several snoRNAs showed significant treatment interactions with biologic agents. SCARNA6-H and SCARNA5-H tumors had longer PFS and OS when treated with cet, but shorter PFS and OS when treated with bev, compared to the M and L expression groups (PFS interaction q = 0.0067 and 0.045, respectively; OS interaction q = 0.022 and 0.034, respectively). SCARNA7 also showed significant treatment interaction for OS, favoring cet in the H expression group ( q = 0.018); the opposite was observed for SNORA63B, SNORA63D, SNORA35B, and SNORA36C ( q = 0.027, 0.027, 0.027 and 0.047, respectively). No significant results were observed for any of the tested SNORDs. Conclusions: SnoRNAs dysregulation affects key pathways such as cell cycle control and immune evasion, making them promising players in CRC biology. Our study highlights the prognostic and predictive potential of specific snoRNAs in mCRC. Notably, high SCARNA21 expression was linked to shorter OS, while SCARNA5 and 6 showed predictive value for treatment response, indicating their potential for guiding treatment decisions. Further validation is needed to confirm these findings, and mechanistic studies are warranted.

3128 Background: LncRNAs have emerged as key regulators of cancer progression and therapeutic responses. In CRC, several lncRNAs have been implicated in modulating tumor growth, metastasis and treatment resistance by interacting with critical tumorigenic pathways. Here, we investigate the potential prognostic and predictive value of lncRNA expression in patients (pts) with mCRC enrolled in CALGB/SWOG 80405 (NCT00265850) trial. Methods: We analyzed 433 mCRC pts treated with either bevacizumab (bev, n = 226) or cetuximab (cet, n = 207) plus first-line chemotherapy. Tumor RNA expression (Illumina HiSeq 2500) of 13 candidate lncRNAs (SNHG11, HOTAIR, FGF14-AS2, H19, YWHAE, NEAT1, MIR100HG, UCA1, LINC00973, SLCO4A1-AS1, POU5F1P4, MALAT1, HCG18) was explored. Median overall survival (mOS) and progression-free survival (mPFS) in months (mo) were compared between pts grouped by tertiles (low [L] vs medium [M] vs high [H]) of gene expression. Likelihood ratio tests, hazard ratios and 95% confidence intervals were computed from multivariable Cox proportional hazards models, adjusting for age, sex, ECOG PS, tumor location, number of metastatic sites, KRAS , Consensus Molecular Subtypes (CMS), and treatment. Results: Overall, SNHG11 was strongly associated with OS and PFS after adjusting for multiple tests (Benjamini-Hochberg False Discovery Rate < 0.05). High SNHG11 expression (H group, n = 144) was associated with improved mPFS (H: 14.3 vs M: 11.2 vs L: 8.3 mo; p = 0.038) and mOS (H: 39.6 vs M: 31.1 vs L: 20.5 mo; p = 0.033) in the combined treatment analysis. Among cet-treated pts, SNHG11-H showed a numerically longer mPFS (H: 14.2 vs M: 11.1 vs L: 7.6 mo; p = 0.19) and significantly longer mOS (H: 41.1 vs M: 32.4 vs L: 14.3 mo; p = 0.012). In contrast, no statistically significant OS or PFS differences were observed in bev-treated pts. SNHG11-H tumors had a significant OS benefit from cet compared to bev (mOS 41.1 vs 36.5 mo, respectively; p = 0.016), with a nominally significant treatment interaction observed for OS (p = 0.030). No significant differences were observed in the L or M expression groups. Additional analyses showed that SNHG11 expression was high in the CMS2 (canonical) subtype and substantially lower in CMS1 (immune). Conclusions: LncRNA SNHG11 plays a significant role in CRC progression and metastasis via tumorigenic pathways, including c-Myc and HIF-1α. Moreover, elevated circulating SNHG11 levels show promise as a non-invasive biomarker for early CRC detection. In CALGB/SWOG 80405, high SNHG11 expression correlated with improved PFS and OS, particularly in cet-treated pts, supporting its role as a prognostic and predictive biomarker. Its strong association with CMS2 aligns with its reported involvement in c-Myc-driven pathways. Further validation is needed to confirm the clinical utility of this biomarker and elucidate underlying mechanisms.