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Record W4282971845 · doi:10.1158/1538-7445.am2022-1062

Abstract 1062: Antiproliferative activity of EC359, an inhibitor of leukemia inhibitory factor receptor (LIF-R), singly and in combination with chemotherapy drugs against pancreatic cancer cell lines

2022· article· en· W4282971845 on OpenAlexaff
Peter J. Ferguson, Hareesh B. Nair, Mark Vincent, James Koropatnick

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsGemcitabinePancreatic cancerDocetaxelIrinotecanCancer researchCancerChemotherapyMedicineInternal medicineCancer cellOncologyChemistryColorectal cancer

Abstract

fetched live from OpenAlex

Abstract Although combination chemotherapy treatments such as FOLFIRINOX (5-fluorouracil, oxaliplatin, irinotecan), gem-abraxane (gemcitabine and nab-paclitaxel) and GTX (gemcitabine, docetaxel and capecitabine) have improved survival of pancreatic cancer patients incrementally, 5-year-survival for this disease remains dismal. New and more effective treatments are needed. Pancreatic stellate cells (PSCs), a form of fibroblasts that comprise much of the pancreatic tumor microenvironment, interact with the cancer cells via the cytokine leukemia inhibitory factor (LIF) and its receptor, LIF-R. This interaction contributes to tumor progression, survival, and resistance to various therapies, and is an important target for novel therapy. A small molecule inhibitor of LIF-R, EC359, inhibits growth of breast cancer cell line tumor explants in mice (Mol Cancer Ther 18: 1341-1354, 2019) and potentially modulates the activity of gemcitabine against such explants (Genes Cancer 10: 1-10, 2019). Given the involvement of the LIF axis in pancreatic cancer, EC359 was tested for its ability to inhibit proliferation of the human pancreatic cancer cell lines PANC-1, Capan-1, and Capan-2, and its possible influence on activity of chemotherapy drugs against these cell lines. Five-day drug exposures were conducted in 96-well plates. Relative cell density determined using vital stains (alamarBlue©, neutral red) was reported as a percent of the fluorescence/absorbance of control cultures. The 3 cell lines exhibited different sensitivities to EC359, with IC50 values ranging from 5 nM (Capan-1) to 150 nM (Capan-2). When combined with anti-pancreatic cancer standard-of-care drugs, EC359 yielded synergistic interactions in a concentration-dependent manner. Depending on the cell line, EC359 decreased the IC50 value for oxaliplatin by as much as 83%. Such enhancements of cytotoxicity for other drugs were up to 84% for docetaxel, 67% for paclitaxel, and 50% for irinotecan. EC359 was also synergistic with IBR120 (a novel small molecule inhibitor of RAD51) against PANC-1 cells. EC359 additively inhibited proliferation in combination with irinotecan or 5-FUdR. The nanomolar activity of EC359 against pancreatic cancer cell lines makes it a good candidate for potential treatment of this generally refractory disease. The synergistic interaction of EC359 with standard-of-care drugs provides an opportunity for increasing the therapeutic index for these agents, and ultimately improving clinical outcomes for pancreatic cancer and other cancers against which EC359 is currently in clinical trial. Citation Format: Peter J. Ferguson, Hareesh Nair, Mark D. Vincent, James Koropatnick. Antiproliferative activity of EC359, an inhibitor of leukemia inhibitory factor receptor (LIF-R), singly and in combination with chemotherapy drugs against pancreatic cancer cell lines [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1062.

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 score0.022
Threshold uncertainty score0.730

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.360
Teacher spread0.313 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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