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Record W2955954677 · doi:10.1158/1538-7445.am2019-2699

Abstract 2699: Targeting an ubiquitin-activating enzyme in small-cell lung cancer (SCLC)

2019· article· en· W2955954677 on OpenAlexaff
Safa Majeed, Mansi K. Aparnathi, Lifang Song, Aaron D. Schimmer, Ming‐Sound Tsao, Geoffrey Liu, Benjamin H. Lok

Bibliographic record

VenueCancer Research · 2019
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsEtoposideCancer researchCancerLung cancerCisplatinMedicineViability assayCell cultureCancer cellChemotherapyCellBiologyOncologyInternal medicineGenetics

Abstract

fetched live from OpenAlex

Abstract Background: Despite valiant efforts to improve patient outcomes, small cell lung cancer (SCLC) (~15-17% of lung cancer) remains an aggressive lung cancer, with an overall five-year survival of 7%. Current first-line therapy (chemotherapy+/-radiation) has not changed in 30+ years. TAK-243, an inhibitor of the ubiquitin activating enzyme (UAE), E1 (encoded by UBA1), poses a novel approach for cancer therapy. TAK-243 limits the formation of ubiquitin conjugates that ultimately mediate many cellular processes, including DNA repair signalling and protein degradation. Consequently, TAK-243 may disrupt cancer-specific dependencies of UAE to induce malignant cell death, and potentiate radiation-induced DNA damage. The discovery publication revealed that TAK-243 is especially potent in 2 SCLC cell-lines compared to healthy breast and fibroblastic tissues. With these limited data, the potential benefit of this novel agent as monotherapy and in combination with chemotherapy for SCLC has yet to be elucidated. Methods: We assessed the anti-proliferative effect of TAK-243 monotherapy in a large panel (n = 10) of variant and classical SCLC cell-lines, including assorted MYC family member amplifications and different UBA1 mRNA expression levels. TAK-243 EC50 single agent doses were determined by treating cell-lines with incremental concentrations of TAK-243 (0-1μM). For combinatorial analysis, TAK-243 (0-1μM) was administered to cell-lines alongside cisplatin/etoposide (CE) at cell-line specific optimized doses yielding 30-35% kill by CE. Short-term efficacy was determined by a cell viability resazurin assay, 48 hours after treatment initiation. ΔEC50 was measured as the single agent EC50 subtracted by the EC50 of TAK-243+CE. Positive ΔEC50 values show potential synergy between TAK-243 and CE. Results: Single-agent therapy. SCLC cell-lines demonstrated a range of sensitives to TAK-243 monotherapy after 48 hours. The cell-lines tested are ranked from highest to lowest sensitivity: NCI-H82, NCI-H69, NCI-H1618, LX22 (ex-vivo cultured PDX), NCI-H1092, NCI-H446, SHP77 and NCI-H196; with EC50 values ranging from 18nM to 80nM. However, NCI-H526, NCI-H889, and SBC-5 were non-responsive to therapy at 1μM. Combination therapy. TAK-243 upon combination treatment with CE revealed ΔEC50 values ranging from 5.23-14.54nM. NCI-H82, NCI-H69, SHP77 and NCI-H1092 demonstrated potential chemosensitivity to combination treatment. Conclusions: These data begin to hint at synergy between TAK-243 and CE, where lower doses of TAK-243 may be required for certain SCLC cell-lines when used in combination. These preliminary results suggest that TAK-243 may have the potential to improve the current SCLC standard therapies in molecular defined subgroups. These results are being confirmed in additional cell-lines and through in vivo experiments using patient-derived xenograft models of SCLC. *S.M and M.K.A contributed equally to this work Citation Format: Safa Majeed, Mansi K. Aparnathi, Lifang Song, Aaron D. Schimmer, Ming S. Tsao, Geoffrey Liu, Benjamin H. Lok. Targeting an ubiquitin-activating enzyme in small-cell lung cancer (SCLC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2699.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.024
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.087
GPT teacher head0.454
Teacher spread0.367 · 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.

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

Citations4
Published2019
Admission routes1
Has abstractyes

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