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Record W2566984511 · doi:10.1158/1940-6215.prev-14-a11

Abstract A11: Airway gene expression indicates an increase in oxidative phosphorylation in the field of injury of individuals with premalignant lesions

2015· article· en· W2566984511 on OpenAlexaff
Sarah A. Mazzilli, Gang Liu, Xiaohui Zhang, Huiqing Si, Stephen Lam, Marc E. Lenburg, Avrum Spira, Jennifer Beane

Bibliographic record

VenueCancer Prevention Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsCanadian Centre for Applied Research in Cancer Control
Fundersnot available
KeywordsBiologyGeneCancer researchLung cancerLungOxidative phosphorylationMicroarrayPathologyInternal medicineMedicineGene expressionGenetics

Abstract

fetched live from OpenAlex

Abstract Lung squamous cell carcinoma (SCC) claims the lives of approximately 50,000 individuals in the United States annually due to late stage diagnosis and lack of effective treatment options. Lung SCC arises in the epithelial layer of the bronchial airways and is preceded by the development of premalignant lesions (PMLs). The molecular events involved in the progression of PMLs to lung SCC are not clearly understood as not all PMLs that develop go on to form carcinoma. Our group is now using high-throughput genomic techniques to characterize the process of premalignant progression by examining PMLs and non-lesion areas in the airway of individuals with lesions (i.e. the “field of injury”,) to identify events that lead to the development of SCC. mRNA-Seq was conducted on cytologically-normal proximal airway epithelium collected by brushing the mainstem bronchus from current and former smokers with (n=43) and without (n=32) PMLs (metaplatic lesions excluded). Linear modeling strategies were used to identify genes altered between subjects with and without PMLs (n=801 out of 13,916 genes at FDR<0.01). Genes were significantly concordantly enriched (FDR<0.01) in an overlapping sample set profiled by microarray (n=57 out of the 75 samples, 33/57 with PMLs) and enriched among up-regulated genes in the independent sample set (n=158, 38/158 with PMLs). Pathway analysis by GSEA revealed enrichment (FDR<0.05) of oxidative phosphorylation (OXPHOS) /respiratory electron transport among genes up-regulated in the airways of subjects with PMLs. OXPHOS is the most efficient metabolic pathway that generates energy in the form of ATP by utilizing the structures and enzymes of the mitochondria and OXPHOS is often elevated during repair epithelial tissue. However, OXPHOS metabolism is often superseded in the development of cancer by glycolysis. To validate these computational findings related to the OXPHOS pathway, we examined oxygen consumption rates (OCR) and extracellular acidification rates (ECAR) in lung cell lines. These cell lines have either high OXPHOS and low glycolytic gene expression (H1299) or low OXPHOS and high glycolytic gene expression (HCC4006). Consistent with the gene expression pattern in these cell lines, The OCR for H1299s and HBECs were 10% higher than HCC4006 cells reflecting higher OXPHOS activity (p = 0.06). Whereas the ECAR was 39% higher in HCC4006 than H1299 cells and 46 % higher than HBECs (p<0.001and p<0.001 respectively), reflecting higher glycolytic metabolism corresponding to the gene expression. Next, we measured protein expression of genes that were elevated in the field of injury of PMLs, which included: mitochondrial membrane protein, translocase of the outer membrane (TOMM 22) and a subunit of complex IV of the electron transport chain, cytochrome C oxidase (COX-IV), in FFPE sections of lung tissue from the N-nitroso-tris-chloroethylurea (NTCU) mouse model of lung SCC. The NTCU model develops PMLs in the bronchial epithelium that progress to lung SCC in a histologically similar pattern to that observed in humans; it is important to note the carcinogen is administered cutaneously and not inhaled thus the field of injury may differ from inhaled carcinogens such as tobacco smoke. Protein levels of TOMM 22, and COX-IV were found to be elevated in dysplastic lesions compared to untreated controls. Together these data suggest that metabolism-associated gene expression is correlated with cellular metabolism and furthermore there is an increase in OXPHOS associated with the development of PMLs. While we are currently in the process of validating these findings in human normal and PMLs, our results suggest that there is potential that therapeutically increasing or maintaining OXPHOS in premalignant lesions or the field of injury may be a mechanism of prevention for lung cancer. Citation Format: Sarah A. Mazzilli, Gang Liu, Xiaohui Zhang, Huiqing Si, Stephen Lam, Marc Lenburg, Avrum Spira, Jennifer E. Beane. Airway gene expression indicates an increase in oxidative phosphorylation in the field of injury of individuals with premalignant lesions. [abstract]. In: Proceedings of the Thirteenth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2014 Sep 27-Oct 1; New Orleans, LA. Philadelphia (PA): AACR; Can Prev Res 2015;8(10 Suppl): Abstract nr A11.

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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)0.002
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 score0.031
Threshold uncertainty score0.193

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.061
GPT teacher head0.415
Teacher spread0.354 · 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
Published2015
Admission routes1
Has abstractyes

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