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Record W1554155783 · doi:10.18632/oncotarget.3635

3′-Phosphoadenosine 5′-phosphosulfate synthase 1 (PAPSS1) knockdown sensitizes non-small cell lung cancer cells to DNA damaging agents

2015· article· en· W1554155783 on OpenAlexafffundabout
Ada W.Y. Leung, Wieslawa H. Dragowska, Daniel Ricaurte, Brian Kwok, Veena Mathew, Jeroen Roosendaal, Amith Ahluwalia, Corinna Warburton, Janessa Laskin, Peter C. Stirling, Mohammed A. Qadir, Marcel B. Bally

Bibliographic record

VenueOncotarget · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNitrogen and Sulfur Effects on Brassica
Canadian institutionsUniversity of British ColumbiaCentre for Drug Research and DevelopmentTerry Fox Research InstituteBC Cancer Agency
FundersUniversity of British ColumbiaCanadian Institutes of Health ResearchCancer Research Society
KeywordsGene knockdownCancer researchDNA damageLung cancerCellCancerChemistryDNABiologyMolecular biologyMedicineBiochemistryApoptosisPathologyGenetics

Abstract

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// Ada W. Y. Leung 1, 2 , Wieslawa H. Dragowska 1 , Daniel Ricaurte 1 , Brian Kwok 1 , Veena Mathew 3 , Jeroen Roosendaal 1, 4 , Amith Ahluwalia 1 , Corinna Warburton 1 , Janessa J. Laskin 5, 6 , Peter C. Stirling 3, 7 , Mohammed A. Qadir 1 , Marcel B. Bally 1, 2, 8, 9 1 Experimental Therapeutics, BC Cancer Research Centre, Vancouver, BC, V5Z 1L3, Canada 2 Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, V6T 2B5, Canada 3 Terry Fox Laboratory, BC Cancer Research Centre, Vancouver, BC, V5Z 1L3, Canada 4 Department of Pharmaceutical Sciences, Utrecht University, Utrecht, TB, 3508, The Netherlands 5 Medical Oncology, BC Cancer Research Centre, Vancouver, BC, V5Z1L3, Canada 6 Department of Medicine, University of British Columbia, Vancouver, BC, V5Z 1M9, Canada 7 Department of Medical Genetics, University of British Columbia, Vancouver, BC V6H 3N1, Canada 8 Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada 9 Centre for Drug Research and Development, Vancouver, BC, V6T 1Z3, Canada Correspondence to: Ada Leung e-mail: aleung@bccrc.ca Keywords: PAPSS1, sensitization, non-small cell lung cancer, siRNA screen, DNA damage Received: November 19, 2014 Accepted: March 23, 2015 Published: April 11, 2015 ABSTRACT Standard treatment for advanced non-small cell lung cancer (NSCLC) with no known driver mutation is platinum-based chemotherapy, which has a response rate of only 30–33%. Through an siRNA screen, 3′-phosphoadenosine 5′-phosphosulfate (PAPS) synthase 1 (PAPSS1), an enzyme that synthesizes the biologically active form of sulfate PAPS, was identified as a novel platinum-sensitizing target in NSCLC cells. PAPSS1 knockdown in combination with low-dose (IC 10 ) cisplatin reduces clonogenicity of NSCLC cells by 98.7% ( p < 0.001), increases DNA damage, and induces G1/S phase cell cycle arrest and apoptosis. PAPSS1 silencing also sensitized NSCLC cells to other DNA crosslinking agents, radiation, and topoisomerase I inhibitors, but not topoisomerase II inhibitors. Chemo-sensitization was not observed in normal epithelial cells. Knocking out the PAPSS1 homolog did not sensitize yeast to cisplatin, suggesting that sulfate bioavailability for amino acid synthesis is not the cause of sensitization to DNA damaging agents. Rather, sensitization may be due to sulfation reactions involved in blocking the action of DNA damaging agents, facilitating DNA repair, promoting cancer cell survival under therapeutic stress or reducing the bioavailability of DNA damaging agents. Our study demonstrates for the first time that PAPSS1 could be targeted to improve the activity of multiple anticancer agents used to treat NSCLC.

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 score0.004
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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.259
Teacher spread0.248 · 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

Citations23
Published2015
Admission routes3
Has abstractyes

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