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Record W2485401423 · doi:10.1158/1538-7445.am2016-935

Abstract 935: Oral cancer cells may hijack stem cell altruism to survive during extreme hypoxia, and exposure to chemotherapeutic drugs

2016· article· en· W2485401423 on OpenAlexaff
Rashmi Bhuyan, Hong Li, Sukanya Gayan, Bidisha Pal, Reza Bayat‐Mokhtari, Jyotirmoy Phukan, Debabrata Baishya, Anupam Sarma, Joyeeta Talukdar, Manaf Muhammad Alkurdi, Wael Tasabehji, Seema Bhuyan, Gayatri Gogoi, Ista Pulu, Herman Yeger, Bikul Das

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsHomeobox protein NANOGCancer cellStem cellCancer stem cellBiologyReprogrammingCancer researchPopulationHypoxia (environmental)Embryonic stem cellApoptosisCancerCell biologyImmunologyCellInduced pluripotent stem cellMedicineGeneticsChemistryGene

Abstract

fetched live from OpenAlex

Abstract The mechanism of tumor hypoxia induced reprogramming of cancer cells are not understood well. Hypoxia might activate evolutionary preserved cellular defense mechanism that could contribute to tumor progression and metastasis. We recently described that during hypoxia/oxidative stress, human embryonic stem cells (hES) exhibit an altruistic defense mechanism, where a few cells reprogram to a highly undifferentiated state, and secrete glutathione to protect rest of the community of cells from oxidative stress induced DNA damage (Das B et al, Stem Cells, 2012). The altruistic stem cells phenotype exhibited high HIF-2alpha and low p53 activity. After a few weeks, the reprogrammed cells, although highly fit to survives, underwent spontaneous apoptosis/differentiation by re-activating the p53/MDM2 oscillation. Thus, the reprogrammed cells sacrificed its own fitness to enhance the fitness of the rest of the community, an altruistic behavior (Das B et al. Stem Cells, 2012). Here, we investigated the potential hijacking of the altruistic defense mechanism by oral cancer cells during exposure to hypoxia. We exposed the four oral cancer cell lines SCC-25, SCC-15, SCC-9 and SCC-5 to extreme hypoxia followed by re-oxygenation for 72 hours. We found that while majority of cancer cells underwent apoptosis, a few cancer cell lines survived, exhibited side-population (SP) phenotype, high level of HIF-2alpha, Nanog, Sox-2 and MYC. The SP cells exhibited migratory activity, as well as high tumorigenic and metastatic activity in NOD/SCID mice. ChIP assay indicated that HIF-2alhpa interact with MYC and NOTCH1. The conditioned media of SP cells exhibited high level of glutathione, and ability to protect non-SP cells from cisplatin-induced toxicity. These results indicate that HIF-2alpha and MYC may cooperate to reprogram a few oral cancer cells to altruistic stemness phenotype. The altruistic phenotype that exhibited cytoprotective activity against cisplatin mediated toxicity. Thus, similar to bacteria, where altruistic biofilm exhibit novel drug resistance mechanism, stem cell altruism may serve as a novel drug resistance mechanism in oral cancer. Citation Format: Rashmi Bhuyan, Hong Li, Sukanya Gayan, Bidisha Pal, Reza Bayat-Mokhtari, Jyotirmoy Phukan, Debabrata Baishya, Anupam Sarma, Joyeeta Talukdar, Manaf Muhammad Alkurdi, Wael Tasabehji, Seema Bhuyan, Gayatri Gogoi, Ista Pulu, Herman Yeger, Bikul Das. Oral cancer cells may hijack stem cell altruism to survive during extreme hypoxia, and exposure to chemotherapeutic drugs. [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 935.

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 score0.003
Threshold uncertainty score0.009

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)0.0030.000

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 head0.052
GPT teacher head0.335
Teacher spread0.283 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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