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Record W2180785957 · doi:10.1158/1538-7445.am2015-1529

Abstract 1529: MYC and HIF-2alpha cooperates in oral squamous carcinoma cell self-renewal during hypoxia

2015· article· en· W2180785957 on OpenAlexaff
Hong Li, Joyeeta Talukdar, Sora Sandhya, Seema Bhuyan, Sukanya Gayan, Anupam Sarma, Reza Bayat Mokhtari, Dean W. Felsher, Herman Yeger, Bikul Das

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsCancer researchOncogeneBiologyMetastasisCancerPopulationCellHypoxia (environmental)Cell cultureCarcinogenesisMedicineCell cycleChemistryGenetics

Abstract

fetched live from OpenAlex

Abstract Oral squamous cell carcinoma (OSCC) is a global health challenge. The overall survival rate of this devastating disease has not significantly changed, and the biology of this type of cancer also remain largely unexplored. To enhance the understanding of this disease through global heath cancer research collaborative effort, we have set up an international collaboration between Forsyth Institute, Cambridge, and KaviKrishna laboratory, which is located in Kamrup district of Assam, having highest incidence of oral cancer in the world. Through this collaborative effort we intend to explore the role of hypoxia in oral cancer progression, metastasis and therapy resistance. Method: We used an oral squamous cell carcinoma cell line SSC25 for this purpose, and performed several experiments using a well-described in vitro assay of CSC self-renewal under hypoxia. Results: We identified a rare ABCG2+ expressing, highly tumorigenic cell population in SSC-25 having cancer stem cell (CSC) like characteristics in the in vivo serial transplantation assay, as well as high metastatic activity to bone marrow of NOD/SCID mice. The ABCG2+ cells, when exposed to hypoxia (<0.1% O2, 24 hours), exhibited enhanced expression and transcriptional activity of MYC, and HIF-2alpha. ChIP assay revealed that HIF-2alpha directly binds to MYC in ABCG2+ cells. siRNA inhibition of HIF-2alpha significantly reduced hypoxia-induced MYC expression and transcriptional activity in ABCG2+ cells. Finally, in clinical OSCC specimens, we confirmed the expression of MYC, HIF-2alpha and ABCG2 expression by immunohistochemistry. Conclusion: These data indicate that MYC oncogene play important role in the self-renewal of oral cancer cells during hypoxia. Citation Format: Hong Li, Joyeeta Talukdar, Sora Sandhya, Seema Bhuyan, Sukanya Gayan, Anupam Sarma, Reza Bayat Mokhtari, Dean W. Felsher, Herman Yeger, Bikul Das. MYC and HIF-2alpha cooperates in oral squamous carcinoma cell self-renewal during hypoxia. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1529. doi:10.1158/1538-7445.AM2015-1529

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

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)0.0020.001

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 head0.057
GPT teacher head0.353
Teacher spread0.296 · 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 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".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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