Cited by 135PI3K/AKT/mTOR signaling in cancerMetabolism, Diabetes, and CancerProtein Kinase Regulation and GTPase Signaling

Regulation of PTEN translation by PI3K signaling maintains pathway homeostasis

Open access
Mukherjee, Radha, Vanaja, Kiran G., Boyer, Jacob A., Gadal, Sunyana, Solomon, Hilla, Chandarlapaty, Sarat, Levchenko, Andre, Rosen, Neal·2021·Molecular Cell

Abstract

The PI3K pathway regulates cell metabolism, proliferation, and migration, and its dysregulation is common in cancer. We now show that both physiologic and oncogenic activation of PI3K signaling increase the expression of its negative regulator PTEN. This limits the duration of the signal and output of the pathway. Physiologic and pharmacologic inhibition of the pathway reduces PTEN and contributes to the rebound in pathway activity in tumors treated with PI3K inhibitors and limits their efficacy. Regulation of PTEN is due to mTOR/4E-BP1-dependent control of its translation and is lost when 4E-BP1 is deleted. Translational regulation of PTEN is therefore a major homeostatic regulator of physiologic PI3K signaling and plays a role in reducing the pathway activation by oncogenic PIK3CA mutants and the antitumor activity of PI3K pathway inhibitors. However, pathway output is hyperactivated in tumor cells with coexistent PI3K mutation and loss of PTEN function.

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 · 10.1016/j.molcel.2021.01.033

Cites

61 of 61 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?

  • Dephosphorylation of PTEN, which inhibits cap-dependent translation, is necessary for combined therapy to work.

    “Similarly, cap-dependent translation is necessary for the transformed phenotype and we have shown previously that dephosphorylation of PTEN, which inhibits cap-dependent translation, is necessary for combined therapy to work48.”

    From Combined inhibition of KRASG12C and mTORC1 kinase is synergistic in non-small cell lung cancer (2024) · cites this paper as [48]

    In Results (‘mTOR controls PTEN expression’; page not available), the paper says dephosphorylated 4E-BP1—not PTEN—inhibits cap-dependent translation and reduces PTEN expression. In Results (‘Inhibition of PTEN translation by PI3K inhibitors’; page not available), it reports that reduced PTEN translation makes tumor cells less sensitive to combined PI3K-inhibitor treatment, contrary to the claim that this process is necessary for treatment to work. (LLM, conf=0.90)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured
  • Cap-dependent translation is necessary for the transformed phenotype.

    “Similarly, cap-dependent translation is necessary for the transformed phenotype and we have shown previously that dephosphorylation of PTEN, which inhibits cap-dependent translation, is necessary for combined therapy to work48.”

    From Combined inhibition of KRASG12C and mTORC1 kinase is synergistic in non-small cell lung cancer (2024) · cites this paper as [48]

    The Results section on mTOR-dependent PTEN expression shows that PTEN undergoes cap-dependent translation, and the section on 4E-BP1-dependent regulation links this mechanism to PI3K-inhibitor responses and tumor growth (page numbers unavailable). The paper does not establish that cap-dependent translation is necessary for the transformed phenotype. (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

1 of the 62 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Mukherjee, R., Vanaja, K. G., Boyer, J. A., Gadal, S., Solomon, H., Chandarlapaty, S., Levchenko, A., & Rosen, N.
Affiliations
  • Memorial Sloan Kettering Cancer Center (US)
  • Yale University (US)
Corresponding author
  • Levchenko, Andre
  • Rosen, Neal
Venue
Molecular Cell
Publisher
Elsevier BV
Published
2021-02
Volume
81
Issue
4
Pages
708-723.e5
ISSN
1097-2765 (ISSN-L)
OpenAlex
W3127889439
Cited by
135
References
62
Citations by year
2026: 18 · 2025: 31 · 2024: 36 · 2023: 23 · 2022: 19 · 2021: 8
FWCI
6.82
Type
journal article
Language
en
Open access
Locations
  • Molecular Cell (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Breast Cancer Research Foundation (BCRF-20-141)
  • National Institutes of Health (P01 CA094060, R35 CA210085)
  • AstraZeneca
  • National Cancer Institute (R01 GM072024, P30 CA008748, U54 CA209992)
  • Boehringer Ingelheim
  • Eli Lilly and Company
  • Daiichi-Sankyo
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
Keywords
PTEN, PI3K signaling, translational regulation, PI3K inhibitors, PIK3CA mutation, PTEN loss
MeSH terms
Animals, Cricetulus, Homeostasis, Humans, Mutation, Neoplasms, Protein Biosynthesis, Signal Transduction, CHO Cells, Cell Cycle Proteins, Adaptor Proteins, Signal Transducing, PTEN Phosphohydrolase, Class I Phosphatidylinositol 3-Kinases, TOR Serine-Threonine Kinases

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