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Record W4254237205 · doi:10.1158/1538-7445.am2019-4594

Abstract 4594: Cytoplasmic LOXL2 regulates actin cytoskeletal organization in esophageal squamous cell carcinoma progression

2019· article· en· W4254237205 on OpenAlexaff
Xiu-Hui Zhan, Jiwei Jiao, Haifeng Zhang, Jianzhong He, Run-Liu Li, Haiying Zou, Zhiyong Wu, Shaohong Wang, Xiu‐E Xu, Jian‐Yi Wu, Lian‐Di Liao, Yinwei Cheng, Kai Zhang, Gera Neufeld, Liyan Xu, En‐Min Li

Bibliographic record

VenueCancer Research · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial metabolism and enzyme function
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologyGene knockdownActin cytoskeletonCytoskeletonCell migrationPlectinVimentinCancer researchCell biologyMolecular biologyCellIntermediate filamentCell cultureGeneticsImmunologyImmunohistochemistry

Abstract

fetched live from OpenAlex

Abstract Background: Lysyl oxidase-like 2 (LOXL2), a copper-dependent enzyme of the lysyl oxidase family, promotes tumor progression and metastasis. We previously revealed that the tumor-promoting role of LOXL2 is mediated by perturbing the architecture of the actin cytoskeleton in esophageal squamous cell carcinoma (ESCC). However, the molecular mechanisms underlying LOXL2-driven ESCC progression remain elusive, and the cytoskeletal proteins that directly interact with LOXL2 remain uncharacterized. Methods: Knockdown LOXL2 in ESCC cells was used by a lentivirus shRNA targeting LOXL2 and analyzed by RNA-sequencing and bioinformatics analysis. Proteomic analysis following by co-immunoprecipitation and immunofluorescence were applied for identification and validation of interacting partners of LOXL2 and its splicing isoform L2Δ13. Cell migration and invasion were measured by wound healing and transwell assays. By risk score calculations, immunohistochemistry of tissue microarrays were adopted to evaluate the prognosis of ESCC patients. Results: We found that knockdown of LOXL2 in ESCC cells suppresses cell migration and invasion, whereas re-expressions of LOXL2 and its non-enzymatic splicing isoform L2Δ13 rescue these cell behaviors. Silencing of LOXL2 inhibits filopodia formation, and induces changes in the expression of cytoskeleton-associated genes. Our interactome analysis identified four actin-binding proteins, i.e. ezrin (EZR), facsin (FSCN1), heat shock protein beta-1 (HSPB1) and tropomodulin-3 (TMOD3), as novel interactors of LOXL2 and L2Δ13. These novel LOXL2/L2Δ13 interaction networks carry important prognostic values in ESCC, as molecular signatures of combinations of LOXL2/L2Δ13 and their cytoskeletal interactors are associated with clinical outcome in ESCC patients. Mechanistically, the ezrin-LOXL2 interaction promotes PKCα-stimulated phosphorylation of ezrin at Thr 567 (T567), an essential residue for ezrin activation, which enhances cell motility and cell invasion in ESCC. Correlating with this, double-high expression of LOXL2 and phosphorylated ezrin-T567 predicts significantly shorter overall survival in ESCC patients. Conclusion: In conclusion, our findings have uncovered a novel molecular mechanism underlying the tumor-promoting role of cytoplasmic LOXL2, which may open new avenues for the therapeutic targeting of LOXL2 in ESCC. (This study is supported by the Natural Science Foundation of China (No. 81472613) and Li Ka Shing Foundation). Citation Format: Xiuhui Zhan, Jiwei Jiao, Haifeng Zhang, Jianzhong He, Runliu Li, Haiying Zou, Zhiyong Wu, Shaohong Wang, Xiue Xu, Jianyi Wu, Liandi Liao, Yinwei Cheng, Kai Zhang, Gera Neufeld, Liyan Xu, Enmin Li. Cytoplasmic LOXL2 regulates actin cytoskeletal organization in esophageal squamous cell carcinoma progression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4594.

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 score0.056
Threshold uncertainty score0.610

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)0.0010.000

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 head0.014
GPT teacher head0.304
Teacher spread0.290 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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