INTRODUCTION: To assess strategies for optimizing participation of underserved minorities in a blood-based early colorectal cancer detection test study (PREEMPT CRC; NCT04369053) at a hospital serving primarily Black individuals. METHODS: Culturally sensitive, racially congruent research staff approached individuals undergoing average-risk screening colonoscopy. Consent/study procedures were synchronized with clinical appointments. Enrolled and not-enrolled patient characteristics were compared. Recruitment was compared with other study sites. RESULTS: In total, 247 of 509 eligible individuals were enrolled; most were identified as Black (88.7%). No baseline characteristics were associated with participation. Recruitment was high compared with other sites (11th centile). DISCUSSION: Recruitment barriers for Black individuals can be overcome when easy, culturally sensitive access is facilitated.
P12.09.A EARLY SAFETY DATA FROM A RANDOMIZED, MULTICENTER, DOUBLE-BLIND, PHASE 2B STUDY OF IGV-001, AN AUTOLOGOUS CELL IMMUNOTHERAPY, VERSUS PLACEBO, IN NEWLY DIAGNOSED GLIOBLASTOMA
Abstract BACKGROUND Glioblastoma (GBM) is the most common primary brain malignancy in adults. Standard of care (SOC) for suspected GBM begins with maximal safe resection followed by adjuvant radiotherapy and temozolomide, and maintenance temozolomide. Imvax has utilized its Goldspire™ platform to create IGV-001, an autologous biologic-device combination product for the treatment of newly diagnosed GBM (ndGBM). IGV-001 consists of autologous GBM tumor cells and an antisense oligonucleotide against IGF-1R mRNA (IMV-001), irradiated and administered via biodiffusion chambers implanted in the abdomen. Together, these components stimulate immunogenic cell death and antigen release. In a phase 1b study in patients with ndGBM, IGV-001 was well tolerated without unexpected adverse events. Multiple efficacy signals were also observed, including significant improvements in progression-free survival, overall survival, radiographic evidence of tumor response, and changes in immune response biomarkers. A phase 2b randomized, multicenter, double-blind, placebo-controlled study to assess the safety and efficacy of IGV-001 in patients with ndGBM (ClinicalTrials.gov identifier: NCT04485949) is ongoing. Here, we present the first safety data from the study. MATERIAL AND METHODS After surgical resection, patients are treated with IGV-001 or placebo followed by SOC. The study will enroll approximately 93 patients at 20 sites in the United States, with a 2:1 randomization favoring IGV-001. The primary outcome is progression-free survival, defined as the time from randomization to first progression, as determined by blinded central radiology review, or death. Secondary outcomes include overall survival, defined as the time from randomization to death due to any cause, and safety. RESULTS As of February 2, 2024, a total of 72 patients have been randomized and 69 have been implanted with IGV-001 or placebo plus SOC. The median age was 60.0 years (range, 24-70 years). Most randomized patients (76.4%) were 51-70 years of age, and the male:female ratio was 2.27. A total of 39/45 (86.7%) patients with enough follow-up time, initiated treatment with concurrent radiation and temozolomide. A total of 9/72 (12.5%) randomized patients discontinued treatment, including 7 patients who discontinued during the SOC treatment period. No patients discontinued treatment for adverse events, protocol deviations, or death. A total of 11/72 (15.3%) randomized patients discontinued the study after randomization. CONCLUSION To date, the review of blinded safety data did not show any emerging risk and supports that there is no change to the benefit-risk profile of treatment with IGV-001 versus placebo. The data will be updated before presentation.
MultiSC: a deep learning pipeline for analyzing multiomics single-cell data
Abstract Single-cell technologies enable researchers to investigate cell functions at an individual cell level and study cellular processes with higher resolution. Several multi-omics single-cell sequencing techniques have been developed to explore various aspects of cellular behavior. Using NEAT-seq as an example, this method simultaneously obtains three kinds of omics data for each cell: gene expression, chromatin accessibility, and protein expression of transcription factors (TFs). Consequently, NEAT-seq offers a more comprehensive understanding of cellular activities in multiple modalities. However, there is a lack of tools available for effectively integrating the three types of omics data. To address this gap, we propose a novel pipeline called MultiSC for the analysis of MULTIomic Single-Cell data. Our pipeline leverages a multimodal constraint autoencoder (single-cell hierarchical constraint autoencoder) to integrate the multi-omics data during the clustering process and a matrix factorization–based model (scMF) to predict target genes regulated by a TF. Moreover, we utilize multivariate linear regression models to predict gene regulatory networks from the multi-omics data. Additional functionalities, including differential expression, mediation analysis, and causal inference, are also incorporated into the MultiSC pipeline. Extensive experiments were conducted to evaluate the performance of MultiSC. The results demonstrate that our pipeline enables researchers to gain a comprehensive view of cell activities and gene regulatory networks by fully leveraging the potential of multiomics single-cell data. By employing MultiSC, researchers can effectively integrate and analyze diverse omics data types, enhancing their understanding of cellular processes.
Multicolumn Nanoflow Liquid Chromatography with Accelerated Offline Gradient Generation for Robust and Sensitive Single-Cell Proteome Profiling
Objectives Liposomal irinotecan (nal-IRI) is a topoisomerase inhibitor proven to improve survival in metastatic pancreatic cancer (mPC). This study describes real-world characteristics of patients treated with nal-IRI for mPC. Methods Patients 18 years or older diagnosed with stage IV mPC and treated with nal-IRI were selected retrospectively from a deidentified electronic health record database of more than 2 million US cancer patients. Demographics, clinical and dosing characteristics, and treatment outcomes were collected. Results Of 257 total patients, 145 (57%) received nal-IRI as first- or second-line therapy. Median nal-IRI treatment duration was 51 days, longer when nal-IRI was used as first/second versus as third-line therapy or later (62 vs 44.5 days). Seventy patients (27.2%) experienced dose modification. Median time to treatment discontinuation was 2.3 versus 1.6 months for first-/second- versus third-line therapy or later, respectively. Median overall survival from nal-IRI initiation was 5.6 versus 4.1 months for first-/second- versus third-line therapy or later, respectively. Prior irinotecan treatment, baseline serum albumin less than 40 g/L, and baseline neutrophil-to-lymphocyte ratio greater than 5 were associated with reduced overall survival. Conclusions This is the first large US study of real-world US mPC patients treated with nal-IRI. These results, comparable to the NAPOLI-1 trial, can help inform future studies and the efficacy of nal-IRI in mPC therapy.
Real world outcomes of metastatic pancreatic cancer (mPC) patients (pts) treated with liposomal irinotecan (nal-IRI) in the US.
Abstract Lung cancer has the highest mortality across all cancers in the world. Epidermal growth factor receptor (EGFR) is commonly mutated in lung adenocarcinomas from Asian non-smoking females. These tumors usually respond to EGFR tyrosine kinase inhibitors (EGFR-TKI), but the outcomes vary in different patients. Though EGFR T790M, amplification of MET and other mechanisms have been shown to confer EGFR-TKI resistance, the molecular mechanisms in around 30% of patients are still unknown. To uncover novel candidate pathways of EGFR-TKI resistance, we analyzed the whole exome mutation profiles of pre-treatment, EGFR T790M-free lung adenocarcinomas with typical activating mutations (L858R, exon 19 deletions). Amongst 19 non-responding (NR) tumors without significant shrinkage after gefitinib or erlotinib treatment, 67 cancer-related genes showed coding region non-synonymous single nucleotide variations (SNV) or insertion-deletions (indels) but they were not detected in 22 responding tumors. Gene set enrichment analysis (GSEA) showed 14 of the 67 genes were involved in the EGFR and WNT signaling network (false discovery rate q=1.14 e-8 for EGFR and q=4.3 e-9 for WNT), including well-known TKI resistance-related genes PIK3CA, PTEN and NF1. Notably, ARID1A, which encodes a subunit of the chromatin remodeling complex, showed nonsense mutations in 2 NR but not responding tumors, which were validated by Sanger sequencing. More than 40% of ARID1A mutations in lung adenocarcinomas recorded in COSMIC were nonsense mutations or frameshift indels. Loss of function mutations of ARID1A have also been reported in various cancers, together suggesting ARID1A might be a tumor suppressor but its involvement in EGFR mutant lung cancers is unknown. To investigate the potential role of ARID1A, its expression was first studied using Kaplan-Meier plotter. Low expression of ARID1A is associated with significantly better overall survival than high expression level in lung adenocarcinoma patients (p=8.5 e-7). To test whether loss of ARID1A could cause TKI resistance, ARID1A was knocked down by shRNA in HCC827 lung cancer cell line harboring EGFR exon19 deletion. MTT cell viability assay using gefitinib showed increase of IC50. Western blot assay further showed ARID1A knockdown increased phosphorylation of AKT at Ser473. Together, the findings suggest loss of ARID1A could lead to EGFR bypass and promote activation of the downstream PI3K/AKT pathway, leading to EGFR TKI resistance. Overall, our findings suggest EGFR-TKI resistance mutations could be detected before TKI drug selection. Resistant gene mutations present in pre-treatment tumors could help to predict the treatment response. More specifically, our study identified a promising gene list involved in EGFR-TKI resistance, and suggested ARID1A loss could be a novel EGFR-TKI resistance mechanism. Citation Format: Xuyuan Gao, Hang Xu, James CM Ho, Oscar SH Chan, Feng Xu, Junwen Wang, Victor HF Lee, Vicky PC Tin, Zhijie Xiao, Siqi Wang, Judy WP Yam, Maria P Wong. EGFR-mutant lung adenocarcinomas mutation profiles reveal ARID1A might be a novel tyrosine kinase resistance pathway [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr LB-196.
Author response: NFATc2 enhances tumor-initiating phenotypes through the NFATc2/SOX2/ALDH axis in lung adenocarcinoma
Abstract Lung cancer is the most lethal malignancy around the world. In Hong Kong, chronic tobacco use is prevalent in male but <20% of female patients smoke. Epidermal growth factor receptor (EGFR) mutations affect 30% and 67% of male and female lung adenocarcinomas, respectively. Treatment responses to tyrosine kinase inhibitors (TKI) are not uniform and all patients eventually develop drug resistance. Mutation screening of immediate pre-treatment tumors is the most ideal for assessing drug targets but in practice, excision specimens of primary or metastatic sites are more efficient in terms of tumor quantity, timeliness and patient acceptance. However, information on the applicability of this approach and correlation with the clinical outcome is limited. For this purpose, we compared the whole exome mutation profiles of 39 excised EGFR mutant cancers treated with first line TKI with the clinical response type, including 15 stage I/II and 24 stage III/IV tumors. They included 16 non-responders (NR) defined clinically as those with stable or progressive disease, and 23 responders (R) defined by partial or complete tumor shrinkage. Considering only the non-synonymous SNV and INDEL mutations of coding regions of known actionable targets and genes listed in both the CGC and COSMIC cancer databases, the tumors harbored 54 mutated genes including 26 recurrently mutated and 28 genes involving only 1 tumor. Excluding EGFR, TP53 was the most commonly mutated gene occurring in 25/39 (64.1%) cases. Most known resistant genes involved in the EGFR and bypass signaling network showed mutations only in the NR group including recurrent mutations of PTEN (3/16), PIK3CA (2/16) and NF1 (2/16), and single case mutations of AKT1, ALK, RAF1 and KDR. Two EGFR network candidates showed mutations in both the NR and R groups, including HGF (2/16 NR, 1/23 R) and ROS1 (1 case in either group). Four post-treatment (post-TKI) tumors of acquired resistance were also analyzed, all of which showed EGFR T790M while no pre-treatment NR or R tumor harbored this mutation. Notably, mutations in the β-catenin pathway were prominent in the NR and post-TKI tumors, including APC (2/16 NR), CTNNB1 (1/16 NR, 1/4 post-TKI) and c-MYC (1/16 NR, 1/4 post-TKI) while they were not detected in the R tumors. Also, nonsense mutations of ARID1A was observed in 2/16 NR but none of the R tumors. In summary, our findings revealed candidate TKI resistant mutations involving the EGFR and bypass signaling networks in pre-treatment excision specimens particularly in non-responding patients. The EGFR T790M was not detectable in pre-treatment samples but was prevalent in post-TKI treated cancers. While this study is limited by its small cohort size, the findings indicate deep sequencing analysis of pre-treatment excision specimens of EGFR-mutant lung adenocarcinomas is warranted for detection of resistant mutations and predicting treatment response. Note: This abstract was not presented at the meeting. Citation Format: Xu-yuan Gao, Hang Xu, James CM Ho, Oscar SH Chan, Feng Xu, Junwen Wang, Victor HF Lee, Vicky PC Tin, Zhijie Xiao, Siqi Wang, Judy WP Yam, Maria P. Wong. Whole-exome sequencing reveals tyrosine kinase-resistant mutations in pretreatment EGFR-mutant lung adenocarcinomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr LB-274. doi:10.1158/1538-7445.AM2017-LB-274