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Record W4285820651 · doi:10.7150/thno.66230

Lipid phosphate phosphatase-2 promotes tumor growth through increased c-Myc expression

2022· article· en· W4285820651 on OpenAlexafffund
Xiaoyun Tang, Christopher R. Cromwell, Rong‐Zong Liu, Roseline Godbout, Basil P. Hubbard, Todd McMullen, David N. Brindley

Bibliographic record

VenueTheranostics · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchCure Brain Cancer FoundationUniversity of AlbertaCancer Research Institute
KeywordsCell cycleCyclin D1Cell growthCancer researchTriple-negative breast cancerBiologyChemistryCellFlow cytometryCancerBreast cancerMolecular biologyBiochemistry

Abstract

fetched live from OpenAlex

LPP2 is one of three enzymes in the lipid phosphate phosphatase family (LPP1-3) that dephosphorylate extracellular and intracellular bioactive lipid phosphates and pyrophosphates. LPP2 increases cell growth and LPP2 expression is elevated in a variety of malignancies, implying that LPP2 is a pro-tumorigenic factor. Methods: LPP2 expression in human breast tumors and normal breast tissue was measured by qPCR. To understand the role of LPP2, we knocked out its expression in multiple cell lines using CRISPR/Cas9. Cell proliferation and migration were compared between wild type and LPP2 knockout cells. Cell cycle was measured by flow cytometry, and cell cycle proteins were determined by western blotting. Effects of LPP2 on tumor growth were investigated using syngeneic and xenograft mouse breast cancer models. Results: LPP2 mRNA levels were higher in ER/PR positive, ER/HER2 positive, and triple negative human breast tumors, relative to normal breast tissue. Higher levels of LPP2 in breast tumors, hepatocellular carcinoma, pancreatic adenocarcinoma, and melanomas were prognostic of poorer survival. LPP2 mRNA expression is also increased in Hs-578T, MDA-MB-231, MCF7 and MDA-MB-468 breast cancer cell lines, relative to non-malignant Hs-578Bst, MCF10A and MCF-12A cells. LPP2 knockout in breast cancer cells decreased cell growth by inhibiting G1/S transition, whereas, increasing LPP2 levels in Hs-578Bst and MCF10A cells promoted proliferation. The effects of LPP2 on cell cycle were associated with changes in cyclin A2, cyclin B1, and cell cycle inhibitors, p27 or p21. The level of c-Myc was downregulated by knocking out LPP2, and it was partly restored by re-expressing LPP2. The positive correlation between the expression of LPP2 and c-Myc exists in multiple cancer cell lines including breast, lung, upper aerodigestive tract and urinary tract cancer. LPP2 knockout in MDA-MB-231 or 4T1 cells suppressed tumor formation in mouse breast cancer models, and decreased the in vivo expression of Ki67 and c-Myc of the cancer cells. Conclusion: Targeting LPP2 could provide a new strategy for decreasing c-Myc expression and tumor growth.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.237
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2022
Admission routes2
Has abstractyes

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