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Record W3148443492 · doi:10.18632/oncotarget.27910

Effect of cell microenvironment on the drug sensitivity of hepatocellular cancer cells

2021· article· en· W3148443492 on OpenAlexaffabout
Bhaskar Bhattacharya, Daniel Q. Huang, Sarah Löw, Gim Hwa Tan, Min Ji Han, S Sekharjit Singh, Benny Tang, Sheng Chun Chang, Joey Sze Yun Lim, Mohd Feroz Mohd Omar, Yock Young Dan, Richie Soong

Bibliographic record

VenueOncotarget · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineHepatocellular carcinomaTumor microenvironmentCancerHepatologyLiver cancerInternal medicineCancer researchOncology

Abstract

fetched live from OpenAlex

// Bhaskar Bhattacharya 1 , 2 , Daniel Q. Huang 3 , 4 , Sarah Hong Hui Low 1 , Gim Hwa Tan 1 , Min Ji Han 1 , 5 , Sanamerjit Singh 1 , 5 , Benny Tang 1 , 5 , Sheng Chun Chang 1 , 5 , Joey Sze Yun Lim 1 , 2 , Mohd Feroz Mohd Omar 1 , Yock Young Dan 3 , 4 and Richie Soong 1 , 2 , 3 1 Cancer Science Institute of Singapore, National University of Singapore, Singapore 2 Pascific Laboratories, Singapore 3 Department of Medicine, National University of Singapore, Singapore 4 Division of Gastroenterology and Hepatology, National University Health System, Singapore 5 Integrated Science, University of British Columbia, Vancouver, Canada Correspondence to: Richie Soong, email: mdcrcts@nus.edu.sg Bhaskar Bhattacharya, email: bhaskar@pascific.com Keywords: drug development; microenvironment; glycolysis Abbreviations: HCC: hepatocellular carcinoma; TCGA: The Cancer Genome Atlas Received: September 23, 2020     Accepted: February 19, 2021     Published: March 30, 2021 Copyright: © 2021 Bhattacharya et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT The native hepatocellular cancer (HCC) microenvironment is characterized by more hypoxic, hypoglycemic, and acidic conditions than those used in standard cell culture. This study aimed to investigate whether HCC cells cultured in more native conditions have an altered phenotype and drug sensitivity compared to those cultured in standard conditions. Six HCC cell lines were cultured in “standard” (21% O 2 , 25 mM glucose) or more “native” (1% O 2 , 5 mM glucose, 10 mM lactate) conditions. Cells were assessed for growth rates, cell cycle distribution, relevant metabolite and protein levels, genome-wide gene expression, mitochondrial DNA sequence and sensitivity to relevant drugs. Many differences in cellular and molecular phenotypes and drug sensitivity were observed between the cells. HCC cells cultured in native conditions had slower doubling times, increased HK2 and GLUT, lower PHDA and ATP levels, and mutations in mitochondrial DNA. Thirty-one genes, including the hypoxia-associated NDRG1 , were differentially expressed between the cells. HCC patients in The Cancer Genome Atlas (TCGA) with tumors with a high score based on these 31 genes had a poorer prognosis than those with a low score ( p = 0.002). From 90 comparisons of drug sensitivity, increased resistance and sensitivity for cells cultured in native conditions was observed in 14 (16%) and 8 (9%) comparisons respectively. In conclusion, cells cultured in more native conditions can have a more glycolytic and aggressive phenotype and varied drug sensitivity to those cultured in standard conditions, and may provide new insights to understanding tumor biology and drug development.

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)0.000
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 score0.119
Threshold uncertainty score0.411

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 head0.004
GPT teacher head0.212
Teacher spread0.208 · 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".

Quick stats

Citations6
Published2021
Admission routes2
Has abstractyes

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