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Record W2397753309 · doi:10.18632/oncotarget.9409

Up-regulation of SERPINA3 correlates with high mortality of melanoma patients and increased migration and invasion of cancer cells

2016· article· en· W2397753309 on OpenAlex
Jiaying Zhou, Yabin Cheng, Liren Tang, Magdalena Martinka, Sunil Kalia

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtease and Inhibitor Mechanisms
Canadian institutionsWelichem Biotech (Canada)University of British Columbia
FundersCanadian Cancer Society Research InstituteCanadian Institutes of Health Research
KeywordsMelanomaMedicineTissue microarrayProportional hazards modelSurvival analysisImmunohistochemistryPathologyInternal medicineOncologyCancer research

Abstract

fetched live from OpenAlex

// Jiaying Zhou 1, * , Yabin Cheng 2, 3, * , Liren Tang 4 , Magdalena Martinka 5 , Sunil Kalia 3 1 Faculty of Science, University of British Columbia, Vancouver, BC, Canada 2 School of Pharmaceutical Sciences, Xiamen University, Xiamen, China 3 Department of Dermatology and Skin Science, University of British Columbia, Vancouver, BC, Canada 4 Welichem Biotech Inc, Burnaby, BC, Canada 5 Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada * These authors have contributed equally to this work Correspondence to: Yabin Cheng, email: chengyb@xmu.edu.cn Sunil Kalia, email: sunil.kalia@vch.ca Keywords: SERPINA3, melanoma, AACT (alpha-1 antichymotrypsin), tissue micro array, cell migration and invasion Received: November 14, 2015     Accepted: March 28, 2016     Published: May 17, 2016 ABSTRACT Serpin Peptidase Inhibitor, clade A member 3 (SERPINA3) was found to be abnormally overexpressed in a subset of melanoma tissue biopsies. High SERPINA3 expression was also associated with poor patient survival. In this study, we set out to test SERPINA3 protein’s prognostic potential with a larger-sized and independent patient cohort, and to explore SERPINA3’s function in melanoma cells. Tissue microarray-based immunohistochemistry analysis showed a significant increase in SERPINA3 expression in invasive and metastatic melanomas compared to normal nevi and melanoma-in-situ ( P < 0.001, Chi-square test). In melanoma patients, high SERPINA3 expression was strongly associated with worse overall and disease specific survival at 5 years. Multivariate Cox regression analysis showed that SERPINA3 expression is an independent prognostic factor to predict melanoma patient clinical outcome. When SERPINA3 expression was selectively silenced using small interfering RNA molecules (siRNA) in cultured melanoma cell lines, cell migration and matrix invasion was significantly decreased, but no change in cell proliferation was observed. This study confirms the prognostic potential of SERPINA3 expression in human cutaneous melanoma and reveals the pro-migration and pro-invasion functions of this protein on melanoma cells.

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.

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 score0.078
Threshold uncertainty score0.176

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 head0.005
GPT teacher head0.210
Teacher spread0.204 · 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