Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 225

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Oncogene Amplification in Growth Factor Signaling Pathways Renders Cancers Dependent on Membrane Lipid Remodeling

Open access
Bi, Junfeng, Ichu, Taka-Aki, Zanca, Ciro, Yang, Huijun, Zhang, Wei, Gu, Yuchao, Chowdhry, Sudhir, Reed, Alex, Ikegami, Shiro, Turner, Kristen M., Zhang, Wenjing, Villa, Genaro R., Wu, Sihan, Quehenberger, Oswald, Yong, William H., Kornblum, Harley I., Rich, Jeremy N., Cloughesy, Timothy F., Cavenee, Webster K., Furnari, Frank B., Cravatt, Benjamin F., Mischel, Paul S.·2019·Cell Metabolism

Abstract

Summary Advances in DNA sequencing technologies have reshaped our understanding of the molecular basis of cancer, providing a precise genomic view of tumors. Complementary biochemical and biophysical perspectives of cancer point towards profound shifts in nutrient uptake and utilization that propel tumor growth and major changes in the structure of the plasma membrane of tumor cells. The molecular mechanisms that bridge these fundamental aspects of tumor biology remain poorly understood. Here, we show that the lysophosphatidylcholine acyltransferase LPCAT1 functionally links specific genetic alterations in cancer with aberrant metabolism and plasma membrane remodeling to drive tumor growth. Growth factor receptor-driven cancers are found to depend on LPCAT1 to shape plasma membrane composition through enhanced saturated phosphatidylcholine content that is, in turn, required for the transduction of oncogenic signals. These results point to a genotype-informed strategy that prioritizes lipid remodeling pathways as therapeutic targets for diverse cancers.

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.cmet.2019.06.014

Cites

10 of 10 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 10 references

Cited by

See all 225

Metadata

Authors
Bi, J., Ichu, T.-A., Zanca, C., Yang, H., Zhang, W., Gu, Y., Chowdhry, S., Reed, A., Ikegami, S., Turner, K. M., Zhang, W., Villa, G. R., Wu, S., Quehenberger, O., Yong, W. H., Kornblum, H. I., Rich, J. N., Cloughesy, T. F., Cavenee, W. K., Furnari, F. B., Cravatt, B. F., & Mischel, P. S.
Venue
Cell Metabolism
Publisher
Elsevier BV
Published
2019-09
Volume
30
Issue
3
Pages
525-538.e8
ISSN
1550-4131 (ISSN-L)
OpenAlex
W2956607536
Cited by
225
References
10
FWCI
6.29
Type
journal article
Language
en
Open access
bronze

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: Oncogene Amplification in Growth Factor Signaling Pathways Renders Cancers Dependent on Membrane Lipid Remodeling. https://app.cochat.ai/papers/10.1016/j.cmet.2019.06.014
The paper
Bi, J., Ichu, T.-A., Zanca, C., Yang, H., Zhang, W., Gu, Y., Chowdhry, S., Reed, A., Ikegami, S., Turner, K. M., Zhang, W., Villa, G. R., Wu, S., Quehenberger, O., Yong, W. H., Kornblum, H. I., Rich, J. N., Cloughesy, T. F., Cavenee, W. K., . . . Mischel, P. S. (2019). Oncogene Amplification in Growth Factor Signaling Pathways Renders Cancers Dependent on Membrane Lipid Remodeling. Cell Metabolism. https://doi.org/10.1016/j.cmet.2019.06.014

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.