Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 336

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Elucidating cancer metabolic plasticity by coupling gene regulation with metabolic pathways

Open access
Jia, Dongya, Lu, Mingyang, Jung, Kwang Hwa, Park, Jun Hyoung, Yu, Linglin, Onuchic, José N., Kaipparettu, Benny Abraham, Levine, Herbert·2019·Proceedings of the National Academy of Sciences

Abstract

Significance: Metabolic plasticity allows cancer cells to adjust their metabolic phenotypes to adapt in hostile environments. There is an urgent need to understand the cross-talk between gene regulation and metabolic pathways underlying cancer metabolic plasticity. We establish a theoretical framework to decode the coupling of gene regulation and metabolic pathways. Our work characterizes a hybrid metabolic state where cells can use both glycolysis and oxidative phosphorylation (OXPHOS) and a possible metabolically inactive state where cells have low activity of both glycolysis and OXPHOS. We show that targeting both OXPHOS and glycolysis may be necessary to eliminate cancer aggressiveness. Our work serves as a platform to target abnormal metabolism in cancer by modulating both genes and metabolic pathways.

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 · 10.1073/pnas.1816391116

Cites

56 of 56 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 56 references

Cited by

See all 336

Metadata

Authors
Jia, D., Lu, M., Jung, K. H., Park, J. H., Yu, L., Onuchic, J. N., Kaipparettu, B. A., & Levine, H.
Venue
Proceedings of the National Academy of Sciences
Published
2019-02-07
Volume
116
Issue
9
Pages
3909-3918
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2911915561
Cited by
336
References
56
FWCI
12.09
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: Elucidating cancer metabolic plasticity by coupling gene regulation with metabolic pathways. https://app.cochat.ai/papers/10.1073/pnas.1816391116
The paper
Jia, D., Lu, M., Jung, K. H., Park, J. H., Yu, L., Onuchic, J. N., Kaipparettu, B. A., & Levine, H. (2019). Elucidating cancer metabolic plasticity by coupling gene regulation with metabolic pathways. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1816391116

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.