Cited by 70Lung Cancer Treatments and MutationsProtein Kinase Regulation and GTPase SignalingMelanoma and MAPK Pathways

Mechanisms of Response and Tolerance to Active RAS Inhibition in KRAS -Mutant Non–Small Cell Lung Cancer

Open access
Araujo, Haniel A., Pechuan-Jorge, Ximo, Zhou, Teng, Do, Minh Truong, Hu, Xin, Rojas Alvarez, Frank R., Salvatierra, Maria E., Ibarguen, Heladio P. +19 more·2024·Cancer Discovery

Published version of a preprint

Abstract

Resistance to inactive state-selective RASG12C inhibitors frequently entails accumulation of RASGTP, rendering effective inhibition of active RAS potentially desirable. Here, we evaluated the antitumor activity of the RAS(ON) multiselective tricomplex inhibitor RMC-7977 and dissected mechanisms of response and tolerance in KRASG12C-mutant non–small cell lung cancer (NSCLC). Broad-spectrum reversible RASGTP inhibition with or without concurrent covalent targeting of active RASG12C yielded superior and differentiated antitumor activity across diverse comutational KRASG12C-mutant NSCLC mouse models of primary or acquired RASG12C(ON) or RASG12C(OFF) inhibitor resistance. Interrogation of time-resolved single-cell transcriptional responses established an in vivo atlas of multimodal acute and chronic RAS pathway inhibition in the NSCLC ecosystem and uncovered a regenerative mucinous transcriptional program that supports long-term tumor cell persistence. In patients with advanced KRASG12C-mutant NSCLC, the presence of mucinous histologic features portended poor response to sotorasib or adagrasib. Our results have potential implications for personalized medicine and the development of rational RAS inhibitor-anchored therapeutic strategies. Significance: Our work reveals robust and durable antitumor activity of the preclinical RAS(ON) multiselective inhibitor RMC-7977 against difficult-to-treat subsets of KRASG12C-mutant NSCLC with primary or acquired RASG12C inhibitor resistance and identifies a conserved mucinous transcriptional state that supports RAS inhibitor tolerance. See related commentary by Marasco and Misale, p. 2018

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1158/2159-8290.cd-24-0421

Cites

83 of 83 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In NSCLC, KRAS-mutant tumors evade therapy through transition into AT1-like, squamous, or mucinous states.

    “In NSCLC, KRAS-mutant tumors evade therapy through transition into AT1-like,29 squamous,27,28 or mucinous states,29 while pancreatic cancer cells adopt a classical epithelial state to bypass KRAS inhibition.30,31”

    From Paneth-like transition drives resistance to dual targeting of KRAS and EGFR in colorectal cancer (2026) · cites this paper as [29]

    The Results section on mucinous regenerative-homeostatic programs and the Discussion identify a mucinous drug-tolerant state in KRAS-mutant NSCLC. They do not identify an AT1-like state; the paper also says it cannot distinguish expansion of preexisting persister cells from a treatment-induced transition. The squamous-state claim carries different citations (27 and 28), so it is not judged against this source. (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Lineage plasticity is a critical mechanism of non-genetic resistance to KRAS-targeted therapies in NSCLC and PDAC.

    “Lineage plasticity has emerged as a critical mechanism of non-genetic resistance to KRAS-targeted therapies in NSCLC and PDAC.27–31”

    From Paneth-like transition drives resistance to dual targeting of KRAS and EGFR in colorectal cancer (2026) · cites this paper as [29]

    The Discussion identifies a mucinous, plasticity-associated drug-tolerant state under RAS inhibition in KRAS-mutant NSCLC, supporting the NSCLC portion. It does not establish lineage plasticity as a resistance mechanism in PDAC; its PDAC discussion concerns other mechanisms. The authors also say they cannot distinguish selection of preexisting persister cells from treatment-induced plasticity. Page numbers are unavailable in our copy. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • Lineage plasticity has an established role in resistance to KRAS-targeted therapies.

    “Despite the established role of lineage plasticity in resistance to KRAS-targeted therapies,26–31 effective therapeutic interventions targeting drivers of lineage plasticity remain lacking.”
  • Differentiation into AT1-like, squamous, and mucinous states has been implicated in KRAS inhibitor tolerance in lung adenocarcinoma.

    “Differentiation into alveolar type 1 (AT1)-like,26 squamous,27,28 as well as mucinous states29 has been implicated to contribute to KRAS inhibitor tolerance in lung adenocarcinoma, whereas transition into a classical state is observed in PDAC cells surviving KRAS-targeted therapy.30,31”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Araujo, H. A., Pechuan-Jorge, X., Zhou, T., Do, M. T., Hu, X., Rojas Alvarez, F. R., Salvatierra, M. E., Ibarguen, H. P., Lee, R., Raghulan, R., Shah, H., Moreno Ayala, M. A., Chen, K., Tovbis Shifrin, N., Wu, S., Solis Soto, L. M., Negrao, M. V., Gibbons, D. L., Hong, D. S., Roth, J. A., Heymach, J. V., Zhang, J., Jiang, J., Singh, M., Smith, J. A. M., Quintana, E., & Skoulidis, F.
Affiliations
  • 1Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Revolution Medicines (United States) (US)
  • The University of Texas MD Anderson Cancer Center (US)
  • 3Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • 2Revolution Medicines, Redwood City, California.
Corresponding author
Skoulidis, Ferdinandos
Venue
Cancer Discovery
Published
2024-07-05
Volume
14
Issue
11
Pages
2183-2208
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W4400416964
Cited by
70
References
83
Citations by year
2026: 29 · 2025: 34 · 2024: 7
FWCI
20.34
Type
journal article
Language
en
Open access
Locations
  • Cancer Discovery (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Digital Commons-TMC (Texas Medical Center) (submittedVersion)
Funders
  • Cancer Prevention and Research Institute of Texas (RP180684)
  • National Cancer Institute (1R01 CA262469-01, 1R01 CA279194-01, 1R01 CA279452-01A1, Lung Cancer SPORE P50-CA70907-21, P30 CA016672)
  • Rexanna’s Foundation (Tammi Hissom Grant)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
Keywords
KRAS G12C mutation, non-small cell lung cancer, RMC-7977, sotorasib, adagrasib, single-cell transcriptomics, acquired drug resistance, precision oncology
MeSH terms
Animals, Carcinoma, Non-Small-Cell Lung, Humans, Lung Neoplasms, Mutation, Proto-Oncogene Proteins p21(ras), Drug Resistance, Neoplasm, Xenograft Model Antitumor Assays, Cell Line, Tumor, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review