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Abstract PO-100: <i>Fusobacterium nucleatum</i> promotes epithelial-mesenchymal transition (EMT) of oral squamous cell carcinoma (OSCC) via INHBA-dependent SMAD/Laminin332/PI3K/AKT pathway

2023· article· en· W4386784566 on OpenAlexaboutno aff
Hengyan Zhu, Liuyang Cai, Zigui Chen, Jason Y. K. Chan

Bibliographic record

VenueClinical Cancer Research · 2023
Typearticle
Languageen
FieldDentistry
TopicOral Health Pathology and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsFusobacterium nucleatumTranscriptomeBiologyCancer researchCarcinogenesisEpithelial–mesenchymal transitionSNAI1MicrobiologyDownregulation and upregulationGene expressionCancerGenePorphyromonas gingivalisGeneticsBacteria

Abstract

fetched live from OpenAlex

Abstract Introduction The enrichment of Fusobacterium nucleatum has been reported in both oral rinses and lesion samples from oral squamous cell carcinoma (OSCC) patients based on several case-control sequencing analyses, but studies on the potential role of F. nucleatum in OSCC tumorigenesis are still limited. In this study, we sought to elucidate the relationship between F. nucleatum and host transcriptome dysregulation in potentially carcinogenic pathways. Method The association between microbiota dysbiosis and host gene transcriptome was profiled by bacterial 16S rRNA V3-V4 amplicon sequencing and host gene long non-coding RNA sequencing (lncRNA-seq) for tumor and adjacent normal (AN) tissues from OSCC patients. Cell migration and invasion assays were performed using the in vitro bacteria-cell co-culture model. EMT-related molecular mechanisms induced by F. nucleatum were further validated by IncRNA-seq, real-time PCR, and western blot for bacteria-infected cells, respectively, at the genetic and proteomic levels. Result Significant enrichment of Fusobacterium was observed in OSCC tumor samples when compared to the paired AN samples. Correlation analysis between mucosal oral bacteria and host transcriptome in the OSCC tumor microenvironment elucidated the positive relationship between Fusobacterium and EMT pathways including significantly upregulated genes INHBA, SNAI2, and LAMC2. Using in-vitro cell models, we further observed that F. nucleatum significantly promoted cell migration and invasion, and significantly dysregulated the expression of several EMT factors including the increased inducer inhibin beta A (INHBA), core regulators SNAI1 (snai1) and SLUG (snai2), effectors vimentin (VIM) and N-cadherin (CDH2), and decreased E-cadherin (CDH1). Following the INHBA/SMAD pathway induced by F. nucleatum infection, the expression of an essential extracellular matrix glycoprotein, Laminin 332, was dramatically enhanced, which may trigger the phosphorylation of phosphatidylinositol 3-kinase and AKT kinase in the downstream PI3K/AKT pathway for the promoted cell migration and invasion ability. Conclusion Our study confirms the enrichment of Fusobacterium in the OSCC tumor microenvironment and reveals that F. nucleatum infection induces the INHBA/SAMD pathway and subsequently increases Laminin 332 expression, which may further promote the phosphorylation of PI3K/AKT and enhance OSCC migration and invasion. Citation Format: Hengyan Zhu, Liuyang Cai, Zigui Chen, Jason Y. K. Chan. Fusobacterium nucleatum promotes epithelial-mesenchymal transition (EMT) of oral squamous cell carcinoma (OSCC) via INHBA-dependent SMAD/Laminin332/PI3K/AKT pathway [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-100.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.003

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 head0.167
GPT teacher head0.459
Teacher spread0.291 · 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; both teacher heads agree on what is shown here.

Study designObservational
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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Citations1
Published2023
Admission routes1
Has abstractyes

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