ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022
RASGRF1 Fusions Activate Oncogenic RAS Signaling and Confer Sensitivity to MEK Inhibition.
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Discovery of Novel RASGRF2 Fusions as a Therapeutic Target in Lung Adenocarcinoma of Never or Light Smokers.Cancer science · 2025Article
- FTO-mediated the destabilization of RASGRF1 mRNA impedes thyroid cancer progression and suppresses macrophage M2 polarization.Cell biology and toxicology · 2025Article
- Genetic and oncogenic features of RASGRF fusions.NPJ precision oncology · 2025Article
- Advances in molecular pathology and therapy of non-small cell lung cancer.Signal transduction and targeted therapy · 2025Review
- Identification of critical genes associated with oxidative stress pathways in benzene-induced hematotoxicity.Heliyon · 2024Article
- Precision oncology: Artificial intelligence, circulating cell-free DNA, and the minimally invasive detection of pancreatic cancer-A pilot study.Cancer medicine · 2023Article
- Rare molecular subtypes of lung cancer.Nature reviews. Clinical oncology · 2023Review
- Acquired BRAF gene fusions in Osimertinib resistant EGFR-mutant non-small cell lung cancer.Translational cancer research · 2023Article
- Recent progress in targeted therapy for non-small cell lung cancer.Frontiers in pharmacology · 2023Review
- Correlation between High Myopia Susceptibility and Polymorphisms of RASGRF1 Gene among College Students in Zhejiang.Journal of environmental and public health · 2023Article
- All About That Ras: Novel Fusion Drives Ras Pathway Activation in Lung Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Article
- Targeting Oncogenic Gene Fusions in Lung Cancer.Cancer journal (Sudbury, Mass.)Review
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
purposeThe identification of actionable oncogenic alterations has enabled targeted therapeutic strategies for subsets of patients with advanced malignancies, including lung adenocarcinoma (LUAD). We sought to assess the frequency of known drivers and identify new candidate drivers in a cohort of LUAD from patients with minimal smoking history. EXPERIMENTAL
designWe performed genomic characterization of 103 LUADs from patients with ≤10 pack-year smoking history. Tumors were subjected to targeted molecular profiling and/or whole-exome sequencing and RNA sequencing in search of established and previously uncharacterized candidate drivers.
resultsWe identified an established oncogenic driver in 98 of 103 tumors (95%). From one tumor lacking a known driver, we identified a novel gene rearrangement between OCLN and RASGRF1. The encoded OCLN-RASGRF1 chimera fuses the membrane-spanning portion of the tight junction protein occludin with the catalytic RAS-GEF domain of the RAS activator RASGRF1. We identified a similar SLC4A4-RASGRF1 fusion in a pancreatic ductal adenocarcinoma cell line lacking an activating KRAS mutation and an IQGAP1-RASGRF1 fusion from a sarcoma in The Cancer Genome Atlas. We demonstrate these fusions increase cellular levels of active GTP-RAS, induce cellular transformation, and promote in vivo tumorigenesis. Cells driven by RASGRF1 fusions are sensitive to targeting of the RAF-MEK-ERK pathway in vitro and in vivo.
conclusionsOur findings credential RASGRF1 fusions as a therapeutic target in multiple malignancies and implicate RAF-MEK-ERK inhibition as a potential treatment strategy for advanced tumors harboring these alterations. See related commentary by Moorthi and Berger, p. 2983.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.