Cited by 29Cancer Cells and MetastasisLung Cancer Treatments and MutationsProtein Kinase Regulation and GTPase Signaling

Non-genetic adaptive resistance to KRASG12C inhibition: EMT is not the only culprit

Open access
Ning, Wenjuan, Marti, Thomas M., Dorn, Patrick, Peng, Ren-Wang·2022·Frontiers in Oncology

Abstract

Adaptions to therapeutic pressures exerted on cancer cells enable malignant progression of the tumor, culminating in escape from programmed cell death and development of resistant diseases. A common form of cancer adaptation is non-genetic alterations that exploit mechanisms already present in cancer cells and do not require genetic modifications that can also lead to resistance mechanisms. Epithelial-to-mesenchymal transition (EMT) is one of the most prevalent mechanisms of adaptive drug resistance and resulting cancer treatment failure, driven by epigenetic reprogramming and EMT-specific transcription factors. A recent breakthrough in cancer treatment is the development of KRAS G12C inhibitors, which herald a new era of therapy by knocking out a unique substitution of an oncogenic driver. However, these highly selective agents targeting KRAS G12C, such as FDA-approved sotorasib (AMG510) and adagrasib (MRTX849), inevitably encounter multiple mechanisms of drug resistance. In addition to EMT, cancer cells can hijack or rewire the sophisticated signaling networks that physiologically control cell proliferation, growth, and differentiation to promote malignant cancer cell phenotypes, suggesting that inhibition of multiple interconnected signaling pathways may be required to block tumor progression on KRAS G12C inhibitor therapy. Furthermore, the tumor microenvironment (TME) of cancer cells, such as tumor-infiltrating lymphocytes (TILs), contribute significantly to immune escape and tumor progression, suggesting a therapeutic approach that targets not only cancer cells but also the TME. Deciphering and targeting cancer adaptions promises mechanistic insights into tumor pathobiology and improved clinical management of KRAS G12C-mutant cancer. This review presents recent advances in non-genetic adaptations leading to resistance to KRAS G12C inhibitors, with a focus on oncogenic pathway rewiring, TME, and EMT.

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 · 10.3389/fonc.2022.1004669

Cites

75 of 75 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?

  • Drug-Tolerant Persister (DTP) cells can derive from pre-treatment stochastic expression variability in cell populations, or from treatment-induced changes in transcriptional profiles or epigenetic markers.

    “Drug-Tolerant Persister (DTP) cells can derive from pre-treatment stochastic expression variability in cell populations, or from treatment-induced changes in transcriptional profiles or epigenetic markers [115,117,118].”

    From KRAS: Biology, Inhibition, and Mechanisms of Inhibitor Resistance (2024) · cites this paper as [117]

    The Introduction (page unavailable) distinguishes preexisting resistant cancer cells from resistance that develops during treatment, and the Abstract (page unavailable) links adaptive drug resistance through EMT to epigenetic reprogramming and transcription factors. The paper does not identify these cells as drug-tolerant persisters or describe pre-treatment stochastic expression variability; searches for “persister” and “stochastic” found no such passages. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

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
Ning, W., Marti, T. M., Dorn, P., & Peng, R.-W.
Affiliations
University of Bern (CH)
Corresponding author
  • Dorn, Patrick
  • Peng, Ren-Wang
Venue
Frontiers in Oncology
Published
2022-11-22
Volume
12
Pages
1004669-1004669
ISSN
2234-943X (ISSN-L)
OpenAlex
W4309738696
Cited by
29
References
75
Citations by year
2026: 8 · 2025: 8 · 2024: 9 · 2023: 4
FWCI
0.64
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Oncology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • BORIS (University Library Bern) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Open Access CRIS of the University of Bern
Funders
  • National Science Foundation
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (192648, 310030)
  • China Scholarship Council
Topics
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • 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
Keywords
KRAS G12C inhibitors, adaptive drug resistance, non-genetic resistance, epithelial-mesenchymal transition, epigenetic reprogramming, sotorasib, adagrasib, tumor microenvironment, tumor-infiltrating lymphocytes, immune evasion, KRAS-mutant cancer

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