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Record W2485015016 · doi:10.1158/1538-7445.am2016-5031

Abstract 5031: Melanoma progression involves a profound nuclear to cytoplasmic shift of the transcription factor SUM-6 (specifically upregulated in melanoma gene six)

2016· article· en· W2485015016 on OpenAlexaff
Laura Graziano, Xue Zhang, Yabin Cheng, Gang Wang, Mingwan Su, Magdalena Martinka, Youwen Zhou

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMelanomaImmunohistochemistryTissue microarrayCarcinogenesisPathologyMetastasisMedicineTranscription factorCancer researchBiologyCancerGeneInternal medicineGenetics

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION: SUM-6 is a human homeobox gene that encodes for a transcription factor, which plays a key role in normal embryogenesis. Overexpression of both the gene and nuclear protein has been shown to occur in a variety of cancers such as breast, colorectal, and pancreatic, and has been demonstrated to promote tumorigenesis. The purpose of the current study was to evaluate the expression of the SUM-6 protein, its clinical relevance, and biological function in melanoma. EXPERIMENTAL PROCEDURES: Immunohistochemistry using a specific SUM-6 antibody was performed on a tissue microarray consisting of 438 patient biopsies, which included benign and malignant melanocytic tumors. Double-blinded scoring of distinct nuclear and cytoplasmic SUM-6 staining was performed. SPSS 16.0 statistical package and Microsoft Excel were used to carry out the analyses of data. Analyses included the χ2 test and univariate analysis by the log-rank test in conjunction with the Kaplan-Meier survival curve for visualization. RESULTS: Nuclear staining of SUM-6 was detected in 100% of normal nevi (n = 19), 81% of dysplastic nevi (n = 32), 87% of melanoma in situ (n = 23), 79% of primary melanoma (n = 219), and 53% of metastatic melanoma (n = 145), whereas cytoplasmic staining was detected in 63%, 94%, 56%, 94%, and 97%, respectively. Univariate analysis revealed that five year disease-specific survival decreased significantly when SUM-6 was excluded from the nucleus and when SUM-6 levels were elevated in the cytoplasm (p = 0.001 and 0.019, respectively). CONCLUSIONS: We concluded that melanoma progression and metastasis is associated with a profound shift of transcription factor SUM-6 from the nucleus to the cytoplasm. It is interesting to note that in most other cancers, the SUM-6 protein was instead overexpressed in the nucleus. The patients in whom SUM-6 was excluded from the nucleus demonstrated a significantly worse prognosis than the patients who retained nuclear expression. These findings suggest that either the absence of nuclear expression or elevated cytoplasmic presence (or both) of SUM-6 may play a role in the progression of malignant melanoma. Citation Format: Laura J. Graziano, Xue Zhang, Yabin Cheng, Gang Wang, Mingwan Su, Magdalena Martinka, Youwen Zhou. Melanoma progression involves a profound nuclear to cytoplasmic shift of the transcription factor SUM-6 (specifically upregulated in melanoma gene six). [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5031.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

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)0.0070.002

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 head0.055
GPT teacher head0.340
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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