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      Evaluation of KRAS G12C inhibitor responses in novel murine KRAS G12C lung cancer cell line models

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          Abstract

          Introduction

          The KRAS(G12C) mutation is the most common genetic mutation in North American lung adenocarcinoma patients. Recently, direct inhibitors of the KRAS G12C protein have been developed and demonstrate clinical response rates of 37-43%. Importantly, these agents fail to generate durable therapeutic responses with median progression-free survival of ~6.5 months.

          Methods

          To provide models for further preclinical improvement of these inhibitors, we generated three novel murine KRAS G12C-driven lung cancer cell lines. The co-occurring NRAS Q61L mutation in KRAS G12C-positive LLC cells was deleted and the KRAS G12V allele in CMT167 cells was edited to KRAS G12C with CRISPR/Cas9 methods. Also, a novel murine KRAS G12C line, mKRC.1, was established from a tumor generated in a genetically-engineered mouse model.

          Results

          The three lines exhibit similar in vitro sensitivities to KRAS G12C inhibitors (MRTX-1257, MRTX-849, AMG-510), but distinct in vivo responses to MRTX-849 ranging from progressive growth with orthotopic LLC-NRAS KO tumors to modest shrinkage with mKRC.1 tumors. All three cell lines exhibited synergistic in vitro growth inhibition with combinations of MRTX-1257 and the SHP2/PTPN11 inhibitor, RMC-4550. Moreover, treatment with a MRTX-849/RMC-4550 combination yielded transient tumor shrinkage in orthotopic LLC-NRAS KO tumors propagated in syngeneic mice and durable shrinkage of mKRC.1 tumors. Notably, single-agent MRTX-849 activity in mKRC.1 tumors and the combination response in LLC-NRAS KO tumors was lost when the experiments were performed in athymic nu/nu mice, supporting a growing literature demonstrating a role for adaptive immunity in the response to this class of drugs.

          Discussion

          These new models of murine KRAS G12C mutant lung cancer should prove valuable for identifying improved therapeutic combination strategies with KRAS G12C inhibitors.

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          Most cited references54

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          Cancer statistics, 2022

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes. Incidence data (through 2018) were collected by the Surveillance, Epidemiology, and End Results program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2019) were collected by the National Center for Health Statistics. In 2022, 1,918,030 new cancer cases and 609,360 cancer deaths are projected to occur in the United States, including approximately 350 deaths per day from lung cancer, the leading cause of cancer death. Incidence during 2014 through 2018 continued a slow increase for female breast cancer (by 0.5% annually) and remained stable for prostate cancer, despite a 4% to 6% annual increase for advanced disease since 2011. Consequently, the proportion of prostate cancer diagnosed at a distant stage increased from 3.9% to 8.2% over the past decade. In contrast, lung cancer incidence continued to decline steeply for advanced disease while rates for localized-stage increased suddenly by 4.5% annually, contributing to gains both in the proportion of localized-stage diagnoses (from 17% in 2004 to 28% in 2018) and 3-year relative survival (from 21% to 31%). Mortality patterns reflect incidence trends, with declines accelerating for lung cancer, slowing for breast cancer, and stabilizing for prostate cancer. In summary, progress has stagnated for breast and prostate cancers but strengthened for lung cancer, coinciding with changes in medical practice related to cancer screening and/or treatment. More targeted cancer control interventions and investment in improved early detection and treatment would facilitate reductions in cancer mortality.
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            User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability.

            Active contour segmentation and its robust implementation using level set methods are well-established theoretical approaches that have been studied thoroughly in the image analysis literature. Despite the existence of these powerful segmentation methods, the needs of clinical research continue to be fulfilled, to a large extent, using slice-by-slice manual tracing. To bridge the gap between methodological advances and clinical routine, we developed an open source application called ITK-SNAP, which is intended to make level set segmentation easily accessible to a wide range of users, including those with little or no mathematical expertise. This paper describes the methods and software engineering philosophy behind this new tool and provides the results of validation experiments performed in the context of an ongoing child autism neuroimaging study. The validation establishes SNAP intrarater and interrater reliability and overlap error statistics for the caudate nucleus and finds that SNAP is a highly reliable and efficient alternative to manual tracing. Analogous results for lateral ventricle segmentation are provided.
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              IFN-γ–related mRNA profile predicts clinical response to PD-1 blockade

              Programmed death-1–directed (PD-1–directed) immune checkpoint blockade results in durable antitumor activity in many advanced malignancies. Recent studies suggest that IFN-γ is a critical driver of programmed death ligand-1 (PD-L1) expression in cancer and host cells, and baseline intratumoral T cell infiltration may improve response likelihood to anti–PD-1 therapies, including pembrolizumab. However, whether quantifying T cell–inflamed microenvironment is a useful pan-tumor determinant of PD-1–directed therapy response has not been rigorously evaluated. Here, we analyzed gene expression profiles (GEPs) using RNA from baseline tumor samples of pembrolizumab-treated patients. We identified immune-related signatures correlating with clinical benefit using a learn-and-confirm paradigm based on data from different clinical studies of pembrolizumab, starting with a small pilot of 19 melanoma patients and eventually defining a pan-tumor T cell–inflamed GEP in 220 patients with 9 cancers. Predictive value was independently confirmed and compared with that of PD-L1 immunohistochemistry in 96 patients with head and neck squamous cell carcinoma. The T cell–inflamed GEP contained IFN-γ–responsive genes related to antigen presentation, chemokine expression, cytotoxic activity, and adaptive immune resistance, and these features were necessary, but not always sufficient, for clinical benefit. The T cell–inflamed GEP has been developed into a clinical-grade assay that is currently being evaluated in ongoing pembrolizumab trials.
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                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                08 February 2023
                2023
                : 13
                : 1094123
                Affiliations
                [1] 1 Department of Craniofacial Biology, University of Colorado Anschutz Medical Campus , Aurora, CO, United States
                [2] 2 Eastern Colorado VA Healthcare System, Rocky Mountain Regional VA Medical Center , Aurora, CO, United States
                [3] 3 Department of Medicine, University of Colorado Anschutz Medical Campus , Aurora, CO, United States
                Author notes

                Edited by: Matiullah Khan, AIMST University, Malaysia

                Reviewed by: Esra Akbay, University of Texas Southwestern Medical Center, United States; Darren R. Tyson, Vanderbilt University, United States

                *Correspondence: Lynn E. Heasley, lynn.heasley@ 123456cuanschutz.edu

                This article was submitted to Cancer Molecular Targets and Therapeutics, a section of the journal Frontiers in Oncology

                Article
                10.3389/fonc.2023.1094123
                9945252
                f66b1fc2-570c-4e62-9a31-5baea87f1b40
                Copyright © 2023 Sisler, Hinz, Le, Kleczko, Nemenoff and Heasley

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 09 November 2022
                : 03 January 2023
                Page count
                Figures: 6, Tables: 0, Equations: 0, References: 54, Pages: 13, Words: 7548
                Funding
                Funded by: Veterans Administration Medical Center , doi 10.13039/100019592;
                Award ID: 1BX004751
                Funded by: National Cancer Institute , doi 10.13039/100000054;
                Award ID: P30 CA046934
                Funded by: U.S. Department of Defense , doi 10.13039/100000005;
                This study was supported by VA Merit award 1BX004751 to LEH, DOD/LCRP grant W81XWH1910220 to LEH and RAN, research funds provided by the University of Colorado Thoracic Oncology Research Initiative and the University of Colorado Cancer Center Core Grant P30 CA046934.
                Categories
                Oncology
                Original Research

                Oncology & Radiotherapy
                kras,mrtx-1257,amg-510,lung cancer,orthotopic model
                Oncology & Radiotherapy
                kras, mrtx-1257, amg-510, lung cancer, orthotopic model

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