In one paragraphArticle in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
15 authors.
Carrie L Rodriguez *David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
William M RideoutDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Victor Z ChenDepartment of Systems Biology, Vagelos College of Physicians and Surgeons, New York City, NY, USA.
Ileana MurazziDepartment of Systems Biology, Vagelos College of Physicians and Surgeons, New York City, NY, USA.
Phaedra GhaziDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Manyuan LiuDepartment of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
Morgan G HeilemanDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
Marianna TrakalaDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Carla P Concepcion-CrisolDepartment of Molecular Pharmacology and Therapeutics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
Funding
Pre-doctoral Training in Fundamental Approaches to Biochemistry and Cell and Molecular BiologyT32GM136540 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Mary Gehring, Michael Laub · 2021 to 2026
$9.5MTargeting SMARCA2 in SMARCA4-deficient lung cancers in vivoR37CA300526 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Carla P Concepcion · 2025 to 2026
$1.1MDissecting the molecular mechanisms of PRC2 dysregulation in cancerK00CA253687 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Agata Ewa Patriotis · 2023 to 2026
$391kInvestigating splicing-derived antigens in the context of Rbm10-mutant lung adenocarcinomaF30CA278495 · NCI · HARVARD MEDICAL SCHOOL · PI Nicolas Mathey-Andrews · 2023 to 2026
$216kCancer Prevention and Research Institute of Texas (Cancer Prevention Research Institute of Texas) RR240079U.S. Department of Defense (United States Department of Defense) HT9425-25-1-0108U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 1K22CA289207U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) F30CA278495U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) K00CA253687U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30-CA014051U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R37CA300526U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) T32GM136540
6 · The paper itselfAbstract
Primary and acquired resistance to targeted therapy represent significant challenges to durable treatment responses in oncology. In lung adenocarcinoma, KRAS inhibitors are hampered by incomplete clinical responses and acquired resistance. Here we treated genetically engineered mouse models of Kras-driven lung adenocarcinoma with KRAS inhibitors to model these conditions. Initial treatment response was rapid but incomplete, with residual tumor burden transcriptionally resembling alveolar epithelial cells. With continued treatment, we invariably observed genetic Kras amplification as a resistance mechanism. To model oncogene-independent resistance, we used functional CRISPR approaches to promote squamous lineage transformation. We found that ∆Np63 was sufficient to transform alveolar organoids to a squamous state in vitro, conferring insensitivity to KRAS inhibition. In vivo, Nkx2-1 loss and/or ectopic Sox2 expression poised tumors for squamous lineage commitment. Squamous-transformed tumors did not exhibit evidence of KRAS/MAPK reactivation, underscoring the role for lineage transcription factors and histologic transformation in mediating KRAS independence.
Indexed as
Carcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmLung NeoplasmsOncogene Protein p21(ras)Proto-Oncogene Proteins p21(ras)AnimalsCell LineageCell Transformation, NeoplasticDisease Models, AnimalGene Expression Regulation, NeoplasticHumansMiceOncogenesSOXB1 Transcription FactorsThyroid Nuclear Factor 1Trans-ActivatorsHras protein, mouseNkx2-1 protein, mouseOncogene Protein p21(ras)Proto-Oncogene Proteins p21(ras)Sox2 protein, mouseSOXB1 Transcription FactorsThyroid Nuclear Factor 1Trans-ActivatorsTrp63 protein, mouse
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