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Immunohistochemical Detection of Autophagy‐Related Proteins in Canine Appendicular Osteosarcoma

2016· article· en· W4389008586 on OpenAlexaff
Courtney R. Schott, Geoffrey A. Wood

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicVeterinary Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsOsteosarcomaAutophagyImmunohistochemistryChemotherapyTissue microarrayPathologyMedicineCancer researchPI3K/AKT/mTOR pathwayBiologyOncologyInternal medicineApoptosisSignal transductionCell biology

Abstract

fetched live from OpenAlex

Dogs diagnosed with appendicular osteosarcoma commonly succumb to metastatic disease despite undergoing the standard of care treatment for curative intent: amputation of the affected limb, followed by adjuvant chemotherapy. Post‐surgical chemotherapy improves one‐ and two‐year survival rates, but prognosis is still poor. In response to adverse environmental conditions normal cells are capable of undergoing autophagy, a survival mechanism involving self‐degradation and recycling of cellular components. Neoplastic cells take advantage of this mechanism to enhance their survival during chemotherapy. Autophagy's role in osteosarcoma has been investigated in humans however similar studies in dogs are rare. Our objective was to examine the expression patterns of a select group of autophagy‐related proteins in canine osteosarcoma amputation samples and to identify potential correlations with survival. Immunohistochemistry for beclin‐1, LC3, phospho‐mTOR, phospho‐AKT1, phospho‐S6 ribosomal protein, and p62 was performed on a tissue microarray containing naïve canine appendicular osteosarcoma cores from dogs who began the standard of care treatment (≥1 dose of chemotherapy). For survival analyses, Kaplan‐Meier survival curves for different expression patterns were compared using the log‐rank test and interactions were considered significant if p < 0.05. The median survival time from the date of diagnosis was 250 days and survival time ranged from 67–897 days (n=20, 95% CI: 122–381). Intense phospho‐S6 ribosomal protein labeling was identified most consistently adjacent to osteoid matrix. Phospho‐mTOR labeling was most evident in the nuclear compartment, however cells undergoing mitosis displayed strong cytoplasmic labeling. Canine osteosarcoma cells exhibited a mixture of diffuse and punctate LC3 cytoplasmic labeling, potentially distinguishing between free cytoplasmic LC3‐I and autophagosome anchored LC3‐II, respectively. Western blot analysis of the beclin‐1 antibody produced a 58 kDa band as predicted. Three distinct intensities of cytoplasmic labeling were observed for beclin‐1 in canine osteosarcoma cells. Strong cytoplasmic beclin‐1 labeling in the majority of neoplastic cells was not observed in any cases with greater than one‐year survival (0/6); this pattern was observed only in cases with less than one‐year survival (5/14). Dogs with tumours having light (n=4), moderate (n=9), and strong (n=5) cytoplasmic labeling had median survival times of 294, 301, and 122 days, respectively. Strong cytoplasmic labeling was a significantly correlated with decreased survival time (Chisq=6.9, 2 df, p < 0.05). This preliminary study provides evidence that canine osteosarcoma cells undergo autophagy in vivo , with a similar LC3 labeling pattern to that described in other tumour types in various species. Additionally, it identifies beclin‐1 as a promising candidate biomarker of chemoresponsiveness in canine appendicular osteosarcoma. Support or Funding Information Funded by Pet Trust

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)0.001
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 score0.070
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.018
GPT teacher head0.298
Teacher spread0.280 · 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
Published2016
Admission routes1
Has abstractyes

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