Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 190

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

The PI3K-Akt-mTOR pathway in initiation and progression of thyroid tumors

Open access
Saji, Motoyasu, Ringel, Matthew D.·2010·Molecular and Cellular Endocrinology

Abstract

The Phosphoinositide 3 (OH) kinase (PI3K) signaling cascade is involved in regulating glucose uptake and metabolism, growth, motility, and other essential functions for cell survival. Unregulated activation of this pathway commonly occurs in cancer through a variety of mechanisms, including genetic mutations of kinases and regulatory proteins, epigenetic alterations that alter gene expression and translation, and posttranslational modifications. In thyroid cancer, constitutive activation of PI3K signaling has been shown to play a role in the genetic predisposition for thyroid neoplasia in Cowden’s syndrome, and is recognized to be frequently overactivated in sporadic forms of thyroid cancer including those with aggressive clinical behaviors. In this review, the key signaling molecules in the PI3K signaling cascade, the abnormalities known to occur in thyroid cancer, and the potential for therapeutic targeting of PI3K pathway members will be discussed.

Overview

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.mce.2009.10.016

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Show all 8 references

Cited by

See all 190

Metadata

Authors
Saji, M., & Ringel, M. D.
Venue
Molecular and Cellular Endocrinology
Publisher
Elsevier BV
Published
2010-05
Volume
321
Issue
1
Pages
20-28
ISSN
0303-7207 (ISSN-L)
OpenAlex
W2061440500
Cited by
190
References
8
FWCI
4.20
Type
journal article
Language
en
Open access
green

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The PI3K-Akt-mTOR pathway in initiation and progression of thyroid tumors. https://app.cochat.ai/papers/10.1016/j.mce.2009.10.016
The paper
Saji, M., & Ringel, M. D. (2010). The PI3K-Akt-mTOR pathway in initiation and progression of thyroid tumors. Molecular and Cellular Endocrinology. https://doi.org/10.1016/j.mce.2009.10.016

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.