KRAS G12V Research Articles

Abstract A020: Enhanced cell-free RNA (cfRNA) recovery for liquid biopsy applications: Comparative analysis using controlled RNA samples for early and advanced cancer detection

Abstract Introduction: Extracting cfRNA from biological samples is crucial in liquid biopsy applications, particularly for detecting low-frequency mutations like KRAS G12V, essential for early cancer diagnosis and minimal residual disease (MRD) monitoring. Traditional cfRNA extraction methods involve multiple transfer steps, aliquoting, and pooling, leading to cfRNA loss and affecting mutation detection sensitivity and accuracy. The nRichDX Revolution cfTNA Max 20 kit, with its innovative nRicher cartridge, simplifies the extraction process by eliminating these extra steps, potentially enhancing yield and efficiency. This study evaluates the cfRNA recovery efficiency of the nRichDX kit compared to the Qiagen Circulating Total Nucleic Acid kit. Methods: Plasma samples (5 mL each) were spiked with RNA containing KRAS G12V mutation at concentrations ranging from 100 to 2 million copies, mimicking early-stage cancer detection and MRD monitoring, where low copy numbers represent early disease and high copy numbers reflect advanced cancer stages. cfRNA was extracted using the nRichDX and Qiagen kits, with each condition tested in triplicate. cfRNA recovery efficiency was assessed using quantitative reverse transcription PCR (qRT-PCR) to quantify KRAS G12V RNA copies recovered. High-sensitivity RNA ScreenTape Analysis was also used to evaluate cfRNA profile quality. Results: The nRichDX kit recovered significantly higher cfRNA yields than Qiagen across all concentrations. Recovery rates were consistent and reproducible, with over 70% of input RNA recovered, even at lower inputs (100 to 100,000 copies), where recovery rates were approximately 70-85%. High Sensitivity RNA ScreenTape Analysis showed a linear increase in 18S and 28S ribosomal peaks and high RNA Integrity Number (RIN) scores in nRichDX profiles. The ability to robustly recover low copy numbers is significant for early cancer detection and MRD monitoring. In contrast, the kit’s effectiveness in high copy number samples reflects its ability to monitor advanced cancer stages accurately. Conclusion: The nRichDX cfTNA kit demonstrates exceptional efficiency in cfRNA extraction from plasma samples across a broad dynamic range, from as few as 100 copies to as many as 2 million copies of the KRAS G12V mutation. Its versatility makes it suitable for various cancer detection and monitoring applications. The streamlined process offered by the nRicher cartridge minimizes sample handling and reduces cfRNA loss, enhancing performance. This translates to more accurate and sensitive detection of early-stage and high-burden mutations associated with advanced cancer. The high-quality profiles indicated by RNA ScreenTape Analysis further validate the reliability of the nRichDX kit, making it a valuable tool for liquid biopsy applications, with significant advantages in early cancer detection and monitoring disease progression. Citation Format: Nafiseh Jafari, Mayer Saidian, Jason Saenz, Andrew Dunnigan, Carlos Hernandez, Leila Aghili. Enhanced cell-free RNA (cfRNA) recovery for liquid biopsy applications: Comparative analysis using controlled RNA samples for early and advanced cancer detection [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A020.

Abstract B011: Circulating tumor DNA profiling in colorectal cancer to detect guideline-based targeted mutations at a Quebec health care center

Abstract Liquid biopsy is an emerging tool in oncology, providing minimally invasive detection of tumor- specific DNA in body fluids, known as circulating tumor DNA (ctDNA). Colorectal cancer (CRC) has shown a high rate of shedding of ctDNA, making it a promising prognostic and possibly predictive biomarker in the personalized management of patients with CRC. Therefore, the half-life of ctDNA in circulation is estimated to be between 16 minutes and several hours, indicating a need for rapid processing. This study aimed to explore the concordance between the mutational profiles in tumor tissue and ctDNA from plasma obtained using EDTA tubes as well as the correlation between ctDNA and disease stage, to evaluate the potential of implementing liquid biopsy testing in CRC cases, following biobank standards. In this retrospective cohort, 58 patients with CRC stage T1 to T4 were enrolled at the Research Institute McGill University Health Centre (RI-MUHC). Tumor tissue was obtained through surgical resection or biopsies of formalin-fixed paraffin-embedded tissue, and blood samples were drawn pre-surgery using EDTA tubes. Cell-free DNA (cfDNA) was extracted from 1-2mL plasma samples using QIAamp Circulating Nucleic Acids. Next-Generation Sequencing using a 52-gene (AmpliSeq for Illumina Focus Panel) was performed to identify the tumor mutations and subsequently droplet digital PCR (ddPCR) was performed to identify the plasma mutations. Among the 58 patients, the mean age was 62 years (range 29-86), and 29 were women. Forty- one patients had left-sided tumor. At least 1 tumor-specific mutation was detected in all tissue tumor samples. Overall, the most frequently identified mutations in this cohort were: BRAF V600E (22.4%), KRAS G12D (12.1%), KRAS G12V and KRAS G13D (8.6%). Cell-free DNA was obtained from 32 patients and showed a mean concentration of 975 ng/mL (range 400- 1,995) for stage T1, 584 ng/mL (range 228-1,300) for stage T2, 1,127 ng/mL (range 249-4,160) for stage T3 and 2,083 ng/mL (range 860-3,680) for stage T4. ddPCR revealed mutation concordance between ctDNA and matched tumor tissue of 28.1%. When tumors were stratified by stage, the concordance was 0% (n=0/3) in patients with T1 tumors, 16.7% (n=1/6) in patients with T2 tumors, 25% (n=5/20) in patients with T3 tumors and 100% (3/3) in patients with T4 tumors. This study showed that ctDNA detection of mutations has excellent concordance in stage T4 tumors, highlighting the potential of ctDNA in advanced stage disease. However, in T1-3 tumor stages the concordance was low, showing the importance of preanalytical steps such as the use of cell-free DNA preservative tubes for sensitive and accurate detection of ctDNA in patients with earlier stage disease. Citation Format: Monyse de Nobrega, Kyle Dickinson, Saba Alsaddah, Alexandra Bartolomucci, Tadhg Ferrier, Anne Mahalia Olivier Mahalia Olivier, Mina Farag, Gertuda Evaristo, Sophie Camilleri-Broet, Andrea Gomez, Thupten Tsering, Lawrence Lee, Pierre Olivier Fiset, Julia V. Burnier. Circulating tumor DNA profiling in colorectal cancer to detect guideline-based targeted mutations at a Quebec health care center [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B011.

More T cell receptors to the RAScue in cancer?

Treatment with T cells genetically engineered to express tumor-reactive T cell receptors (TCRs), known as TCR-gene therapy (TCR-T), is a promising immunotherapeutic approach for patients with cancer. The identification of optimal TCRs to use and tumor antigens to target are key considerations for TCR-T. In this issue of the JCI, Bear and colleagues report on their use of in vitro assays to characterize four HLA-A*03:01- or HLA-A*11:01-restricted TCRs targeting the oncogenic KRAS G12V mutation. The TCRs were derived from healthy donors or patients with pancreatic cancer who had received a vaccine against mutant KRAS. The most promising TCRs warrant testing in patients with KRAS G12V-positive cancers.

Mutant KRAS in Circulating Tumor DNA as a Biomarker in Localized Pancreatic Cancer in Patients Treated with Neoadjuvant Chemotherapy.

The primary objective was to determine the prognostic significance of circulating tumor DNA (ctDNA) in patients receiving neoadjuvant chemotherapy (NAC) for localized pancreatic ductal adenocarcinoma (PDAC) using digital droplet polymerase chain reaction (ddPCR). Increasingly, ctDNA is being used for clinical decision-making in a variety of solid malignancies. However, the detection and prognostic value of KRAS ctDNA as assessed by ddPCR during NAC has yet to be characterized. Patients with localized PDAC eligible to receive NAC were prospectively enrolled. Peripheral blood samples were obtained at diagnosis, after NAC, and after resection and analyzed for ctDNA using ddPCR. Log-rank tests and Cox proportional hazards model were used to assess for association with OS. 84 patients were included in the analysis. Mutant KRAS ctDNA was detected in 49.3% of patients at diagnosis, 69.6% of patients after NAC, and 69.7% of patients after resection, respectively. There were 15 (17.9%) patients that cleared mutational ctDNA over the course of treatment. Clearance of ctDNA during NAC was associated with improved overall survival (OS) (18.4 mo. vs NR, P<0.05). Detection of mutant KRAS G12V after NAC and resection was associated with shorter OS (18.0 versus NR months, P<0.031). Detection of the KRAS G12V mutation after resection was associated with reduced OS (aHR 36.75, 95% CI 2.93-461.38). Throughout treatment, KRAS ctDNA is detectable by ddPCR in patients with localized PDAC treated with NAC. Detection of mutant KRAS G12V after resection was associated with reduced OS.

Overcoming immune evasion from post-translational modification of a mutant KRAS epitope to achieve TCR-T cell-mediated antitumor activity.

Tumor cell methylation of KRAS G12V epitope in HLA-A2 permits immune evasion, and new TCRs were generated to overcome this with engineered cell therapy.

Brief Report: Not Created Equal: Survival Differences by KRAS Mutation Subtype in NSCLC Treated With Immunotherapy

IntroductionThe predictive and prognostic implications of different KRAS mutation (KRASm) subtypes in metastatic NSCLC have not been clearly defined. We used a nationwide observational database to investigate whether KRASm subtypes differ in their association with survival in metastatic NSCLC treated with immune checkpoint inhibitor (ICI)-based therapy, across programmed death-ligand 1 (PD-L1) levels. MethodsPatients with advanced nonsquamous NSCLC who initiated first-line ICI-based therapy from 2016 to 2021 and had known PD-L1 expression and comprehensive genomic profiling including KRAS, STK11, KEAP1, and TP53 were included. Within PD-L1 expression subgroups (<1%, 1%–49%, ≥50%), Cox multivariable regression was used to evaluate the association between KRASm subtypes (G12C, G12V, G12D, other KRASm) and overall survival, estimated using Kaplan-Meier methodology. ResultsAmong the 1539 patients, 819 patients were KRAS wild type (KRASwt) and 720 were KRASm (296 KRAS G12C, 143 KRAS G12V, 97 KRAS G12D, 184 other KRASm). In the 50% or higher PD-L1 subgroup, patients with KRAS G12V had worse survival (median overall survival [mOS] = 8.2 mo) compared with KRASwt (mOS = 13.3 mo) and other KRAS subgroups (mOS ranging from 13.4 to 19.9 mo). On adjusted Cox multivariable regression in the 50% or higher PD-L1 subgroup, the hazard ratio for death for KRAS G12V ranged from 1.53 to 1.78 compared with KRASwt and other KRASm subtypes (all p < 0.05). ConclusionsAlthough patients with 50% or higher PD-L1 with KRAS G12C, G12D, and other subtypes exhibited similar survival to KRASwt, KRAS G12V was associated with significantly worse survival than KRASwt and other KRASm subtypes. All KRASm should not be regarded as uniform predictors of ICI responsiveness, even with high PD-L1 expression; KRAS G12V tumors may have worse outcomes with ICI-based therapy and benefit from treatment intensification.

U2AF1 S34F enhances tumorigenic potential of lung cells by exhibiting synergy with KRAS mutation and altering response to environmental stress.

Although U2AF1 S34F is a recurrent splicing factor mutation in lung adenocarcinoma (ADC), U2AF1 S34F alone is insufficient for producing tumors in previous models. Because lung ADCs with U2AF1 S34F frequently have co-occurring KRAS mutations and smoking histories, we hypothesized that tumor-forming potential arises from U2AF1 S34F interacting with oncogenic KRAS and environmental stress. To elucidate the effect of U2AF1 S34F co-occurring with a second mutation, we generated human bronchial epithelial cells (HBEC3kt) with co-occurring U2AF1 S34F and KRAS G12V . Transcriptome analysis revealed that co-occurring U2AF1 S34F and KRAS G12V differentially impacts inflammatory, cell cycle, and KRAS pathways. Subsequent phenotyping found associated suppressed cytokine production, increased proliferation, anchorage-independent growth, and tumors in mouse xenografts. Interestingly, HBEC3kts harboring only U2AF1 S34F display increased splicing in stress granule protein genes and viability in cigarette smoke concentrate. Our results suggest that U2AF1 S34F may potentiate transformation by granting precancerous cells survival advantage in environmental stress, permitting accumulation of additional mutations like KRAS G12V , which synergize with U2AF1 S34F to transform the cell.

Abstract B052: Single-cell and spatial analysis of the immune landscape unveils a subset of potentially tumor-reactive T cells in patients with localized PDAC

Abstract Even in its localized stages, pancreatic ductal adenocarcinoma (PDAC) is virtually incurable, characterized by early dissemination and disease recurrence. The liver is the most common site of metastasis, and in most cases hepatic recurrences drive survival outcomes. This underscores the critical need to target and prevent liver metastases. We leveraged a novel biobanking strategy to perform paired single-cell RNA (scRNA-seq) and TCR sequencing (scTCR-seq) to profile multisite immunity in patients with localized PDAC across the tumor, peripheral blood, and premetastatic liver. This analysis of three patients included three tumor, three blood, and nine liver (three per patient from separate segments) samples, and generated 85,748 cells for downstream analysis. We evaluated populations of tumor-expanded T cells as potential indicators of antitumoral immunity, and utilized validated computational approaches to identify tumor-reactive T cells based on key markers of dysfunction and exhaustion. Gene set enrichment analysis was performed on tumor infiltrating lymphocytes (TILs) using signatures specific to tumor-reactive CD4 and CD8 T cells (“NeoTCR4” and “NeoTCR8,” respectively), and scored these using the AUCell package in R. Overall, 153 CD4 and 22 CD8 T cells fit candidate NeoTCR4 and NeoTCR8 signature states, representing 5.6% and 0.8% of the total TIL population respectively. These nominated T cells expressed key marker genes associated with tumor specificity such as CXCL13, TIGIT, PDCD1, ENTPD1, and TOX. Thirteen of these predicted tumor-reactive T cell clones identified within the tumor were also detected within our liver samples, suggestive of a potential antitumoral immune response in the premetastatic liver space. We next performed 10x Xenium in situ spatial transcriptomic analysis of primary tumor, normal adjacent pancreas, and premetastatic liver from two of these patients, using tissue microarrays to incorporate replicate 2mm core biopsies from each of these sites. A custom designed gene panel, guided by our scRNA-seq dataset, targeted tumor-specific mutations (e.g. KRAS G12V, G12D, G12R, and Q61) and immune related genes with a specific focus on markers of T cell activity and exhaustion. Leveraging these latter marker genes, which represent a subset of the NeoTCR4 and NeoTCR8 signatures, we identified a population of exhausted TILs within the tumor microenvironment, representing potentially tumor-reactive T cells whose interactions can now be explored at spatial resolution. Future directions are aimed at experimentally validating the tumor reactivity of the predicted neoantigen-specific TILs within our dataset and characterizing the immune neighborhoods that exist in both the tumor and liver of PDAC patients. This work establishes exciting opportunities for novel T-cell therapy in the treatment of PDAC, and we have already implemented these experimental findings in a forthcoming clinical trial investigating the applicability of this predictive signature score for the generation of TCR-engineered lymphocyte therapy in patients with PDAC. Citation Format: Elishama N Kanu, Ashley A Fletcher, Sri Krishna, Frank J Lowery, Haotian Zhuang, Ethan S Agritelley, Jiayin Bao, Austin M Eckhoff, Karrie Comatas, Tao Wang, Bin-Jin Hwang, Michael E Lidsky, Sabino Zani, Dan G Blazer III, Peter J Allen, Nicholas D Klemen, Zhicheng Ji, Daniel P Nussbaum, Erika J Crosby. Single-cell and spatial analysis of the immune landscape unveils a subset of potentially tumor-reactive T cells in patients with localized PDAC [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr B052.

Abstract PR-21: Temporal stability and chemotherapy responsiveness of classical and basal transcriptional subtypes of pancreatic cancer

Abstract Background: Transcriptional profiling of pancreatic cancers (PC) has defined classical and basal subtypes; basal tumors have worse outcomes. Initial data suggest worse outcomes to FOLFIRINOX (FFX) compared with gemcitabine nab-paclitaxel (GnP) in basal tumors. In addition, it is hypothesized that classical to basal conversion may lead to chemotherapy resistance, although clinical evidence for subtype conversion and subtype specific chemotherapy sensitivity are sparse. Here, we examined the temporal stability and clinical implications of PC transcriptional subtypes in a large, real-world dataset. Methods: We examined patients with metastatic PC, who had outcomes data and RNA sequencing (n=5,335) performed at Caris Life Sciences (Phoenix, AZ). Classical and basal subtypes were identified along a six subtype continuum from strong classical (SC) to strong basal (SB) on either pole using PurIST algorithm. Overall survival (OS) was defined from date of biopsy of metastatic site to date of death or last known contact and estimated using Kaplan-Meier method. Survival was compared between groups using log-rank test and cox proportional hazards regression. Predictors of subtype discordance were assessed in patients who underwent RNA-sequencing of two tumor biopsies using multivariable logistic regression. Results: In patients with metastatic PC, SB tumors (n = 1,579) had significantly worse OS compared to SC tumors (n = 2,118), with a median OS of 5.7 vs. 10.0 months, respectively (hazard ratio [HR] 1.49, 95% confidence interval [CI], 1.39-1.60, p = 2.77e-27) independent of impact of age, gender and mutations in KRAS, TP53, CDKN2A or SMAD4 in cox proportional hazard models. OS was worse in patients with SB tumors who received either 1L GnP [SB (n = 112) vs. SC (n = 178), median OS: 6.0 vs. 10.4 months (HR 1.35 [95% CI, 1.05-1.75], p = 0.02)], or 1L FFX [SB (n = 155) vs. SC (n = 215), median OS: 8.9 vs. 12.5 months (HR 1.35 (95% CI, 1.06-1.72), p = 0.013)]. The prognostic impact of transcriptional subtype within different KRAS-mutant alleles is not well defined. OS was short and not significantly different between the three most frequent KRAS alleles (G12 V/D/R) in SB tumors (median OS, KRAS G12R/V/D: 5.4 vs. 5.4 vs. 5.5 months). In SC tumors, KRAS G12D was associated with a significantly worse OS compared to KRAS G12R (median OS: 8.6 vs. 11.9 months, HR 1.23 (95% CI, 1.04-1.47), p = 0.018). KRAS G12V had a numerically worse survival compared with KRAS G12R in SC tumors (median OS: 9.4 vs. 11.9 months, HR 1.15 (95% CI, 0.96-1.37), p = 0.12). Sixty of 77 cases (78%) maintained their transcriptional subtype between two temporally &amp;/or spatially disparate lesions. The likelihood of transcriptional subtype change was independent of the duration between (p = 0.79) or site of (p = 0.37) the two biopsies. Conclusions: SB subtype is a strong independent predictor of worse outcomes, irrespective of mutant KRAS allele or upfront chemotherapy regimen, and tends to remain stable between biopsies in individual patients Citation Format: Harshabad Singh, Joanne Xiu, Kevin Kapner, Chen Yuan, Raja R Narayan, Matthew Oberley, Alex Farrell, Rishi Surana, Brandon M Huffmann, Kimberly J Perez, James M Cleary, Alexander C Jordan, Andressa Dias Costa, Hannah L Williams, Srivatsan Raghavan, Benjamin Weinberg, Michael J Pishvaian, Rachna T Shroff, Sanjay Goel, Stephanie K Dougan, Jonathan Nowak, David Spetzler, George Sledge, Brian M Wolpin, Andrew J Aguirre. Temporal stability and chemotherapy responsiveness of classical and basal transcriptional subtypes of pancreatic cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr PR-21.

Abstract A009: Mutant KRAS in Circulating Tumor DNA Assessed by Digit Droplet PCR as a Biomarker in Pancreatic Cancer in Patients Treated with Neoadjuvant Chemotherapy

Abstract Introduction: The detectability and prognostic significance of circulating tumor DNA (ctDNA) in patients with pancreatic ductal adenocarcinoma (PDAC) after neoadjuvant chemotherapy (NAC) is unclear. The objective of this study was to investigate the rate of detection and prognostic value of KRAS mutant ctDNA in PDAC patients after treatment with NAC as assessed by digital droplet polymerase chain reaction (ddPCR). Methods: Patients with newly diagnosed, localized, PDAC were enrolled in a prospective cohort study. Peripheral blood samples were collected at diagnosis, after NAC, and after resection. DNA was extracted from patient plasma samples using the QIAamp Circulating Nucleic Acid Kit #55114 (Qiagen N.V., Venlo Netherlands). Each sample was probed (catalog number 10049550) for KRAS codon 12 exon 2 glycine substitutions for aspartic acid (G12D), valine (G12V), and arginine (G12R). Kaplan-Meier, log-rank, and Cox regression survival analyses were performed. Results: 84 patients were included in the analysis. Patients were most commonly male (53.6%) and had tumors that were radiographically resectable (57.1%). After diagnosis, 79.8% of patients received NAC and 57.1% of patients received curative-intent surgical resection. Samples were collected for analysis from 59 (70.2%), 56 (83.6%), and 45 (93.8%) patients at diagnosis, after NAC, and after resection, respectively. Mutant KRAS ctDNA was detected in 49.3% of patients at diagnosis, 69.6% of patients after NAC, and 54.1% of patients after resection, respectively. The median OS of the cohort was 25.1 months (12.0-not reached [NR]). Detection (hazard ratio [HR] 36.8, 95% confidence interval [CI] 2.9-461.4), copy number (HR 4.0 95% CI 1.6-10.2), and percentage mutation (HR 2.9 95% CI 1.2-6.8) of KRAS G12V ctDNA after resection were all independently associated with shorter OS. Mutant KRAS ctDNA detection was not associated with and OS at other study timepoints. There were 15 (17.9%) patients that cleared mutational ctDNA over the course of treatment. Clearance of ctDNA during NAC was associated with improved overall survival (OS) (18.4 mo. vs NR). Conclusions: In patients with PDAC treated with NAC, KRAS mutations are detectable in ctDNA by ddPCR in the majority of patients over the course of treatment. Detection, copy number, and percentage mutation of KRAS G12V after NAC and resection were each independently associated with shorter OS. Clearance of ctDNA is associated with improved OS. The results demonstrate that KRAS mutant ctDNA predicts prognosis after NAC and resection. Citation Format: Dominic Vitello, Dhavan Shah, Amy Wells, Larissa Masnyk, Madison Cox, Lauren Janczewski, John Abad, Kevin Dawravoo, Arlene D'Souza, Grace Suh, Robert Bayer, Massimo Cristofanilli, David Bentrem, Yingzhe Liu, Hui Zhang, Lucas Santana-Santos, Lawrence Jennings, Qiang Zhang, Akhil Chawla. Mutant KRAS in Circulating Tumor DNA Assessed by Digit Droplet PCR as a Biomarker in Pancreatic Cancer in Patients Treated with Neoadjuvant Chemotherapy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research; 2024 Sep 15-18; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl_2):Abstract nr A009.

Clinical characteristics of KRAS mutation subtypes in non-small cell lung cancer population in Xinjiang, China, and their impact on the prognosis of immunotherapy

PurposeNon-small cell lung cancer (NSCLC) is a highly fatal malignancy. The Kirsten rat sarcoma viral oncogene (KRAS) gene profoundly impacts patient prognosis. This study aims to explore the correlation between KRAS mutation subtypes, clinical data, and the impact of these subtypes on immunotherapy.Materials and methodsTumor samples from 269 NSCLC patients at the Affiliated Cancer Hospital of Xinjiang Medical University were analyzed. Patients received first- or second-line therapy without targeted therapy. Molecular and clinical data were used to analysis KRAS mutation subtypes and treatment outcomes.ResultsKRAS mutations predominantly included G12C, G12D, and G12V subtypes. TP53 had the highest mutation frequency among KRAS mutations, followed by MST1, STK11, and KMT2C. Gender differences were noted among KRAS mutation subtypes, with G12C and G12V mutations prevalent in males, while G12D mutations were less common among males. Smokers exhibited varied KRAS mutation subtypes, with G12C and G12V prevalent in smokers and G12D in nonsmokers. KRAS mutations were mainly in lung adenocarcinoma. TTF-1 and PD-L1 expression differed significantly among KRAS mutations. Patients with G12C and G12V mutations showed higher TMB levels and better immunotherapy outcomes compared to those without KRAS mutations. Conversely, patients with G12D mutations had poorer immunotherapy responses.ConclusionsKRAS mutation subtypes exhibit distinct clinical and molecular characteristics and varying responses to immunotherapy. G12C and G12V mutations correlate with better immunotherapy outcomes, while G12D mutations are associated with poorer responses.

Quantitative evaluation of oncogenic KRAS signaling and therapeutic effects of molecular-targeted drugs in living cells by single-molecule imaging.

76 Background: Oncogenic KRAS mutations pose challenges due to their constitutive activation and resistance to drugs in colorectal cancer. However, several aspects remain unresolved. Single-molecule imaging has revealed distinct behaviors of KRAS. Inactive KRAS wild-type (WT) molecules exhibit continuous lateral diffusion on the plasma membrane, while activated or oncogenic KRAS molecules display slower diffusion and transient trapping due to interactions with signaling molecules. These observations suggest that the overall signal intensity of KRAS within a cell is finely regulated by integrating short-term pulse signals during transient trapping. Methods: We conducted single-molecule observations of KRAS (WT, G13D, and G12D/C/V) in living colon cancer cells, both with and without molecular-targeted drugs, before and after EGF stimulation. We quantitatively analyzed their diffusional behavior to evaluate KRAS signaling and the therapeutic effects of molecular-targeted drugs. Results: The temporal fraction of trapped KRAS WT was highest at 2 minutes (6.4%) and decreased to pre-activation level (3.0%) at 5 minutes after EGF stimulation. Although the temporal fractions of trapped KRAS mutants were higher than those of KRAS WT both before stimulation (5%) and after stimulation (10%), their diffusional behaviors were mutation-specific. The temporal fraction of trapped KRAS G13D increased sharply, and those of KRAS G12D and G12C increased at a moderate rate, while that of KRAS G12V did not elevate after EGF stimulation. Cetuximab treatment significantly reduced the temporal fraction of trapped KRAS WT after stimulation, but only moderately decreased those of KRAS mutants. Notably, transient trappings of KRAS G12D and G12C were abrogated by KRAS inhibitors, and the combined therapy of KRAS inhibitors and cetuximab demonstrated additive effects. Conclusions: Our findings indicate that the mutation-specific diffusional behavior of oncogenic KRAS can be quantitatively assessed by single-molecule imaging. This method serves as a powerful tool to uncover the mechanisms underlying oncogenic KRAS signaling and evaluate the therapeutic efficacy of molecular-targeted drugs in living cells.

Synergistic inhibition of CXCL8 following MRTX1133 treatment with ONC212 or 5-FU in KRAS G12D and G12V mutant CRC and PDAC cell lines.

e15196 Background: CXCL8, serves as a crucial multifunctional cytokine that plays a significant role in regulating tumor growth, invasion, and migration. Although in some cancers the critical role of CXCL8 in patient prognosis and disease progression is stablished but its role in CRC &amp; PDAC patients is under investigation. High levels of CXCL8 in tumor microenvironment (TME) and association with cancer stem cell survival, immune surveillance escape &amp; metastasis make it an interesting therapeutic target. Both CRC &amp; PDAC are among the deadliest cancers with dismal prognosis. The need for novel therapeutics with a focus on TME is emerging. MRTX1133 was identified as an inhibitor of KRASG12D. ONC212 is a fluorinated imipridone with strong anti-cancer activity in nM range and preclinical efficacy against pancreatic and other malignancies. Here we report the synergistic inhibition of CXCL8 in both KRAS G12D &amp; KRAS G12V cell lines with use of KRAS G12D inhibitor in combination with 5-FU or ONC212. Methods: Different CRC &amp; PDAC cells were treated with MRTX1133 with 5-FU or ONC212 cytokine profiling at 48h time point was done. Human protein atlas was used for protein and RNA data &amp;TCGA data for survival was used. Results: We previously have shown the synergistic inhibition of pERK and cytokine alteration between MRTX1133 KRAS G12D inhibitor with 5FU or ONC212 in both cell lines with KRAS G12D &amp; KRAS G12V mutation (Tajiknia V et al. AACR 2023 annual meeting). In LS513 KRAS G12D CRC cell line, treatment of ONC212, MRTX1133 and combination of both showed a decrease of 52.36%,58.83% and 71.65% respectively in CXCL8 levels compared to control at 48h time point. In HPAF-II KRAS G12V PDAC cell line, treatment of ONC212, MRTX1133 and combination of both resulted in 38.69%, 64.44%, 57% inhibition of CXCL8 levels respectively compared to control. In SW480 KRAS G12V CRC cell line, treatment of ONC212, MRTX1133 and combination of both demonstrated 25.7%,47.3% and 66.5% inhibition in CXCL8 level respectively compared to control at 48h time point. Single treatment of MRTX1133 caused a decline in CXCL8/IL-8 levels by 30% while single treatment of 5-FU showed a 36% decrease, the combination of both resulted in more than 55% decrease compared to control in LS513 KRAS G12D cell line. In SW480 KRAS G12V cell line, combination of 5-FU &amp; MRTX1133 showed 30% inhibition while in Capan-2 PDAC KRAS G12V cells the same combination showed a 48.2% reduction in CXCL8 compared to control at 48h time point. TCGA data for RNA shows low specificity of CXCL8 for cancer type but it is significantly high in CRC and PDAC. Protein concentration in the Pan-cancer cohort shows significant high level of CXCL8 in CRC. Conclusions: Considering the important role of KRAS mutations and CXCL8 in pathogenesis of CRC &amp; PDAC, the effective inhibition of CXCL8 with the use of targeted therapy in combination could enhance treatment response and patient survival.

Molecular and clinical characteristics of patients with non-small-cell lung cancer (NSCLC) harboring KRAS G12V mutations.

8618 Background: KRAS G12V is one of the most common drivers of non-small cell lung cancer (NSCLC), accounting for around 3 percent of cases. Recently, there have been promising approaches in early clinical research to therapeutically target this mutation. However, this subset of patients is poorly characterized both molecularly and clinically, and data on therapy-dependent outcome are lacking. We performed this real world analysis to gain insight into the genomic and clinical characteristics of a large cohort of NSCLC patients with KRAS G12V mutations. Methods: Molecular data of 662 UICC stage I-IV lung cancer patients diagnosed between 2018 and 2023 and harbouring a KRAS G12V mutation in their tumor tissue were linked to the medical record data in the Network Genomic Medicine (NGM) database. The mutational status was determined by next-generation sequencing (NGS) and further immunohistochemistry (IHC) for PD-L1 status was performed. Results: 662 patients with a KRAS G12V mutation were diagnosed between 01/2018 and 03/2023 (stage I: 33 (6.0%), II: 29 (5.3%), III: 89 (16.3%), IV: 396 (72.4%)), which is a proportion of 15.3% among all registered KRAS-mutated lung cancer patients in this period (n=4332). Among the KRASG12V positive primary lung carcinomas, 605 (94.3%) showed an adenocarcinoma and 17 (2.6%) a squamous cell carcinoma. The median age at diagnosis was 67 years (range: 33-91), of which 338 were men (52.6%) and 304 women (47.4%). The majority of the cohort were active or former smokers (active: 289 (54.9%); former: 208 (39.2%)). In the group of never smokers (n=33, 6.2%), there were 5 men (15.2% of never smokers) and 28 women (84.8% of never smokers). The most common mutation site at initial diagnosis in patients with metastatic disease was brain and bone metastases with 41.5% and 37.4%, respectively. The most common co-mutations with a frequency of ≥ 5% were TP53 (40.2%), STK11 (28.3%), KEAP1 (22.6%) and NTRK1-3 (8.7%). Preliminary median overall survival at UICC stage IV was 525 (95% CI: 427 – 579) days. The first PD-L1-independent analysis showed a response rate of 40.9% (18/44) to initial chemotherapy (CTX)/immune-checkpoint blockade (ICB) combination, 66.7% (8/13) to ICB alone and 18.8% (6/32) to CTX alone. Conclusions: The cohort is characterized by heavy tobacco consumption. Among the never-smokers, the high proportion of women is noteworthy and will be analyzed further. Metastases at first diagnosis and concurrent mutations show clear differences to other KRAS subtypes, which highlights the heterogeneity of KRAS subtypes. We will continue to analyze the overall prognosis as well as the first indications of a PD-L1-independent benefit of immunotherapy compared to chemotherapy alone.

AFNT-211: A phase 1 study of autologous CD4+ and CD8+ T cells engineered to express a high avidity HLA-A*11:01-restricted, KRAS G12V-specific, transgenic TCR, a CD8α/β coreceptor, and a FAS41BB switch receptor in patients with advanced/metastatic solid tumors.

TPS8650 Background: Activating mutations in KRAS (including KRAS G12V) are well-described oncogenic drivers in solid tumors. Patients with KRAS driver mutations have a poor prognosis, and most KRAS-mutated cancers lack effective therapies. T cell receptor (TCR)-T cell therapies targeting mutant KRAS have demonstrated proof of concept in the clinic, but duration of response remains a challenge. AFNT-211 represents a novel strategy to address the immunosuppressive tumor microenvironment and improve response rate and duration in solid tumors. AFNT-211 autologous CD4+ and CD8+ T cells are engineered to express a high avidity HLA-A*11:01-restricted, KRAS G12V-specific, transgenic TCR; the wildtype CD8α/β coreceptor; and a FAS-41BB switch receptor. The intended mechanism of action is recognition and elimination of KRAS G12V-mutated tumor cells by AFNT-211. AFNT-211 is designed to enhance anti-tumor activity via the following mechanisms of action as shown in preclinical models: (1) the CD8α/β coreceptor enables MHC-I– restricted TCR recognition of the KRAS G12V target by CD4+ T cells; (2) engaging CD4+ helper T cell responses drives enhanced CD8+ T cell cytotoxic activity and prevents T cell exhaustion; (3) the FAS-41BB chimeric switch receptor drives increased T cell activity, circumventing native FAS apoptotic signaling. Methods: This ongoing Phase 1, first-in-human, multicenter, open-label study of AFNT-211 (1) evaluates safety/tolerability, (2) determines the optimal biological dose (OBD) and recommended Phase 2 dose (RP2D), and (3) assesses preliminary antitumor activity. The study consists of 2 parts: dose escalation and dose expansion. Dose escalation is guided by the Bayesian optimal interval Phase 1/2 (BOIN12) design to determine the OBD. The BOIN12 design quantifies the desirability of a dose in terms of toxicity-efficacy tradeoff and adaptively allocates patients to the dose with the highest estimated desirability. The RP2D will be selected based on the BOIN12 design and the totality of benefit/risk assessment. Patients enrolling in dose expansion will be treated at the OBD/RP2D in indication-specific cohorts. This study is conducted in patients aged ≥ 18 years who are HLA-A*11:01-positive with advanced/metastatic solid tumors harboring a KRAS G12V mutation, and intolerance of/progression on at least 1 prior systemic therapy. Patients undergo leukapheresis to collect T cells for the manufacturing of AFNT-211 and receive lymphodepleting chemotherapy prior to AFNT-211 infusion. This is followed by a 28-day dose-limiting toxicity observation period (dose escalation only) and a post-treatment follow-up period for 24 months/ until disease progression. The study is open for recruitment in the United States. Clinical trial information: NCT06105021 .

Survey of actionable driver mutations KRAS and EGFR in non–small cell lung cancer to evaluate coexisting splicing gene and pathway mutations: A CBioportal database analysis.

8561 Background: Molecularly targeted therapies have advanced treatment for certain cancers, such as lung cancer with specific EGFR or KRAS mutations. However, oftentimes the tumor becomes eventually treatment resistant. This may be partly because cancers driven by EGFR/KRAS mutations may also harbor additional co-occurring genetic alterations. In non-small cell lung cancer (NSCLC), aberrations in RNA splicing pathways have shown substantial implications for tumor behavior and therapeutic responsiveness. Our study focuses on elucidating the interplay between RNA splicing defects and prominent NSCLC mutations. Methods: In this retrospective, cross-sectional study, we analyzed data from 20,719 NSCLC patients enrolled in participating institutions between 2017 and 2022. The data were sourced from the American Association for Cancer Research Genomics Evidence Neoplasia Information Exchange (version 13.0). EGFR L858R, EGFR E746_750del, KRAS G12C, KRAS G12D and other KRAS G12 mutations cases were identified and individually analyzed to abstract co-occurring RNA splicing genomic alterations. Results: Among 20,719 patients with NSCLC, we identified 1309 patients with EGFR L 858R mutation, 1121 patients with EGFR E746_750del mutation, 2446 with KRAS 12C, 852 with KRAS G12D, 1107 with KRAS G12V, 452 with KRAS G12A, 173 with KRAS G12F, and 109 with KRAS G12S. RBM 10 was the most common co-occurring RNA splicing gene for EGFR L 858R (178, 13.6%), followed by CDK12 (31, 2.3%) and SPEN (27, 2 %). Similarly, the most prevalent co-occurring RNA splicing genes with EGFR E746_750del were RBM 10 (38, 3.4%) and SPEN (23, 2 %). RBM 10 was the most prevalent co-existing RNA splicing gene for KRAS G12C (211, 8.6 %), KRAS G12D (63, 7.4 %), KRAS G12V (80, 7.2%), KRAS G12A (59, 13.1%), KRAS G12F (12, 7.0%), KRAS G12S (11, 10.1%) and KRAS G12R (6, 8%). Conclusions: Our study uncovers a crucial link between EGFR and KRAS mutations in NSCLC and RNA splicing gene dysregulation, particularly involving RBM10. Further research in this field is warranted as targeting RNA splicing, alone or alongside existing targeted inhibitors, could substantially enhance treatment efficacy for EGFR+ or KRAS+ NSCLC patients. [Table: see text]

Association of KRAS G12D vs. G12V circulating tumor DNA variant allele fraction and real-world overall survival in metastatic non-small cell lung and colorectal cancers.

3041 Background: We previously reported KRAS G12D but not G12V variant allele fraction (VAF), as measured in circulating tumor DNA (ctDNA), was associated with overall survival (OS) in metastatic treatment-naïve pancreatic cancer (mPDAC). However, this has not been examined in other RAS-driven cancers. Here we assessed association of real-world OS (rwOS) with KRAS G12D and G12V VAF in metastatic colorectal cancer (mCRC) and non-small cell lung cancer (mNSCLC). Methods: We queriedGuardantINFORM, a real-world evidence database of aggregated commercial payer health claims and de-identified results from Guardant360 (G360) ctDNA testing from 2014 to 2023, to identify mNSCLC/mCRC patients who were treatment-naive and had KRAS G12D or G12V mutations identified &lt; 30 days prior to first-line therapy initiation. Those with co-occurring KRAS alterations, KRAS amplifications, and/or MSI-H were excluded. Outcomes were assessed as above vs. below median VAF and stratified by treatment type. The Cox regression model was run for continuous VAF, adjusting for age, gender, summary comorbidity score [Elixhauser Comorbidity Index (ECI)], and year of G360. Results: For mCRC, KRAS VAF above median was significantly associated with shorter rwOS for both G12D and G12V (Table 1); subgroup analysis of the predominant standard-of-care chemotherapy, FOLFOX, showed similar findings. For mNSCLC, KRAS VAF above median was associated with shorter rwOS for G12V, but not G12D (Table). Subgroup analysis by first-line treatment type revealed this association to be similar for chemotherapy-containing regimens but not immunotherapy (IO) alone. Conclusions: While a variant-specific association of KRAS VAF with rwOS was observed in mNSCLC overall (G12V associated, G12D not), above vs below median VAF was not associated with rwOS for the subset of patients receiving IO only. In contrast, for mCRC both G12D and G12V VAF were associated with rwOS, including for the subset of patients who received chemotherapy. These data suggest a complex interplay between KRAS variant, ctDNA shedding, first-line treatment, and OS that will be important in the interpretation of the prognostic implications of ctDNA-identified KRAS alterations. [Table: see text]

Development of an arenavirus-based immunotherapy for treatment of KRAS mutant cancer.

e14672 Background: Oncogenic mutations in KRAS are prevalent in more than 80% of pancreatic ductal adenocarcinomas (PDAC), approximately 30% of colorectal cancer (CRC) and 15-20% of lung adenocarcinoma (LUAD). It has been demonstrated previously that CD8+ T cell responses specific for KRAS mutations can lead to tumor control and regression of metastasis. Replicating arenavirus vectors are currently evaluated in multiple clinical trials in infectious diseases and oncology and have demonstrated potent induction of target antigen specific CD8+ T cell responses of up to almost 50% of the total CD8+ T cell compartment in peripheral blood. To augment KRAS mutation specific CD8+ T cell responses in patients, we are using replicating arenavirus vectors targeting five prevalent KRAS mutations which are found in approximately 95% (PDAC), 74% (CRC), and 83% (LUAD) of the KRAS mutated tumors, representing a promising off-the-shelf immunotherapy for these indications. Here, we systematically investigate immune responses induced by mutant KRAS targeted arenavirus-vector-based cancer vaccines in HLA transgenic mice and characterize the efficiency of target cell killing of activated KRAS mutation specific CD8+ T cells. Methods: A transgene cassette consisting of peptide stretches including KRAS mutations G12D, G12V, G12C, G12R and G13D was generated by in silico aided antigen design. Vectors encoding peptide stretches of single KRAS mutations as well as the corresponding wildtype KRAS sequence served as controls in preclinical experiments. KRAS mutation specific CD8+ T cell expansion was evaluated in HLA transgenic mice and functionality of induced CD8+ T cells was evaluated by assessing CD8+ T cell mediated killing of mutant KRAS peptide loaded target cells in vivo. Results: All treatment regimens were well tolerated, and no mortalities or major adverse events were observed. Following vector administration, HLA I restricted antigen-specific CD8+ T cell responses were detected against 4 encoded mutant KRAS epitopes in HLA-A*11:01 (KRAS G12D and G12V), or HLA-B*07:02 (KRAS G12C and G12R) transgenic mice. These cells did not cross-react with wildtype KRAS epitopes presented in the same HLA I molecules. Specific cytotoxicity against KRAS G12D/V or KRAS G12C/R pulsed target cells was observed in vivo in HLA transgenic animals, indicating functionality of the induced KRAS mutation specific T cells. No specific cytotoxicity towards target cells pulsed with KRAS WT peptides was observed in any of the groups. Conclusions: This study indicates efficient induction of KRAS mutation specific T cell responses in HLA transgenic mice using an arenavirus vector based vaccine. Expanded CD8+ T cells were capable of killing cells loaded with KRAS mutation specific epitopes in vivo indicating functionality of the induced T cell responses. Based on these results, initiation of a Phase I study for the treatment of KRAS mutated cancers is planned.

Correlation of allele-specific HLA loss of heterozygosity in patients with cancer with driver mutations.

e14658 Background: While immunotherapies have revolutionized cancer treatment, the limited predictability of response and resistance mechanisms present challenges to the development of novel therapeutics for solid tumors. Many of these use a sensitive and specific T cell receptor (TCR)-HLA:peptide interaction as a mechanism of action and can be impacted by HLA loss of heterozygosity (LOH). Allele-agnostic HLA LOH analyses assessing loss of any MHC class I allele are relevant for HLA-agnostic approaches such as immune checkpoint inhibitors; however, context-specific studies remain limited. For example, adoptive TCR T cell therapies and bi-specific TCR T cell engagers target neoantigen peptides derived from oncogenic driver mutations, such as those of KRAS and TP53, presented by a specific HLA allele. Thus, allele-agnostic analyses may overestimate the frequency and relevance of HLA LOH for allele-specific modalities. Methods: A real-world comprehensive genomic profiling dataset consisting of 78,418 cases (1), germline heterozygous for one or more HLA class I locus, was analyzed for HLA LOH in the context of frequent driver mutations (KRAS G12C, G12D, G12V and TP53 R175H), the corresponding HLA alleles (A*02:01, A*03:01, and A*11:01), and within tumor subtypes. Results: Allele-agnostic HLA LOH was observed in 16.6% of all samples and varied between indications. Notably, allele-specific loss of HLAs A*02:01, A*03:01, and A*11:01 across all samples was much lower than allele-agnostic loss (6.3%, 6.6%, and 6.3% cases, respectively). Although, a trend for increased allele-specific HLA LOH was observed when analyzed by driver mutation, the frequency remained low. Specifically, across all cases, A*02:01, A*03:01, and A*11:01 allele-specific LOH ranged between 5.9% - 9.7% in relation to KRAS G12C, G12D, and G12V compared to 5.9% - 6.2% for wild-type (WT). Moreover, it did not achieve statistical significance for any HLA-KRAS mutation pairs in colorectal (CRC), non-small cell lung (NSCLC), and pancreatic (PDAC) cancers, except for A*11:01 and KRAS G12C in NSCLC, which was lower in mutated cases (5.3% for G12C vs 10.1% for WT KRAS, p=0.045). Both allele-agnostic and A*02:01-specific HLA LOH in TP53 WT samples were lower than average. The TP53 R175H mutation was associated with limited increase in HLA-A*02:01 LOH (from 4.4% for WT to 8.1% for TP53 R175H) and varied between indications, e.g. no significant increase was observed in R175H-positive breast cancer and NSCLC cases contrary to CRC and PDAC. Conclusions: Based on this real-world dataset, over 90% of cases retain the TCR-targeted allele and, therefore, preserve the molecular complex necessary for HLA/driver mutation-based therapies. Notably, the database is enriched for advanced cancer patients. Further studies should test correlations with treatments and whether tumors in earlier lines of treatment have an even lower rate of HLA LOH. 1. Montesion et al., PMID: 33127846.

Characterization of BTX-10908, a first-in-class, orally bioavailable SOS1 bifunctional degrader for the treatment of KRAS- and RTK-driven cancers.

e15192 Background: Despite early clinical responses of targeted therapeutics against specific nodes in the RTK-RAS-MAPK pathway, limitations in the depth and duration of efficacy occur due to the emergence of adaptive and acquired resistance mechanisms. Resistance can result from the removal of feedback inhibition to reactivate RTKs, on-target amplification and new mutations. The efficacy of these oncogene-targeted agents in the clinic could be improved by co-treatment with additional therapies that address either type of resistance mechanism. The RAS guanine nucleotide exchange factor, Son of Sevenless 1 (SOS1), represents an ideal target to enhance clinical potency of other pathway inhibitors for two reasons. In addition to mitigating inputs from upstream RTKs to downstream RAS proteins, SOS1’s activity is also regulated by ERK- and RSK-mediated negative feedback inhibition with upstream and downstream inhibitors alleviating this inhibition to reengage pathway activation. Methods: To address this need, we utilized our PRODEGY platform to generate orally bioavailable, Cereblon (CRBN)-based SOS1 bifunctional degrader, BTX-10908, for the treatment of KRAS- and RTK-driven tumors. Results: BTX-10908 demonstrated rapid and potent SOS1 degradation with &lt;10nM DC50 and maximum degradation &gt; 90%. Consistent with BTX-10908’s mechanism of action, SOS1 degradation required CRBN and the proteasome. Not only did it reduce active RAS levels, but BTX-10908 also inhibited downstream signaling proteins (pERK, pRSK, pS6) and lowered ERK-mediated transcripts in KRAS- and EGFR-mutant as well as MET amplified cell lines under anchorage-independent (3D) conditions. Additionally, drug washout experiments demonstrated prolonged suppression of pERK and ERK-regulated transcripts with SOS1 degradation whereas rebound occurred quicker with SOS1 inhibitors. BTX-10908 displayed CRBN- and SOS1-dependent antiproliferative activity with IC50 values ranging from 0.5-20nM. Notably, BTX-10908 was significantly more potent than the clinical SOS1 inhibitor at reducing pERK levels and cell viability in multiple KRAS- and RTK-driven cell lines. Oral administration of BTX-10908 resulted in dose-dependent SOS1 degradation and tumor growth inhibition in H358 (KRAS G12C) and H441 (KRAS G12V) xenografts. The combination of BTX-10908 with KRAS G12C inhibitors (Sotorasib, Adagrasib) and various RTK inhibitors (EGFR, Met, BCR-ABL, and FLT3) prevented pathway reactivation driven by these inhibitors resulting in synergistic effects in in vitro proliferation assays and enhanced tumor growth inhibition in KRAS-mutant xenograft models. Conclusions: Our developmental candidate, BTX-10908, displayed robust in vitro and in vivo activity supporting its further development for monotherapy and combination therapies of KRAS and RTK-driven cancers.