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Record W2346657233 · doi:10.1158/1538-7445.am2015-2947

Abstract 2947: Pharmacodynamic (PD) and pharmacokinetic (PK) results of the second-generation hypomethylating agent, SGI-110, in patients with hepatocellular carcinoma (HCC) after progression on sorafenib

2015· article· en· W2346657233 on OpenAlexaff
Anthony B. El-Khoueiry, Mary F. Mulcahy, Tanios Bekaii‐Saab, Richard D. Kim, Crystal S. Denlinger, Rakesh Goel, Shweta Gupta, Simone Jueliger, Aram Oganesian, Harold Keer, John Nemunaitis

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsDecitabineSorafenibMedicineHepatocellular carcinomaInternal medicineOncologyHypomethylating agentCancerPharmacodynamicsProgressive diseaseGastroenterologyPharmacologyPharmacokineticsDNA methylationDiseaseBiology

Abstract

fetched live from OpenAlex

Abstract Background: HCC is the sixth most common cancer and the third most common cause of cancer death worldwide. Sorafenib treatment improves survival in advanced disease, but no therapy has demonstrated significant activity after progression on sorafenib. Increased methylation of genes implicated in tumorigenesis has been described in HCC and has been associated with outcome and etiology. We evaluated the therapeutic and biologic effects of SGI-110, a hypomethylating agent in patients with HCC. SGI-110, a dinucleotide of decitabine and deoxyguanosine, increases decitabine exposure by protecting it from deamination due to slow release on subcutaneous (SC) injection. PK and PD results of an open-label, phase 2 study in patients with HCC are presented here. Methods: Adults with histologically confirmed, advanced-stage HCC who had received sorafenib, had evidence of disease progression, and ECOG PS 0-1 were enrolled. SGI-110 (SC) was given on D1-5 of a 28-day cycle. Blood samples were taken for PK/PD analysis and, when possible, paired tumor biopsies were taken for analysis of global DNA (LINE-1) and gene-specific methylation and gene expression. Patients were imaged every 8 weeks and allowed to continue treatment after radiologic but not clinical progression. End points include disease control rate (DCR) at 16 weeks, overall response rate, progression-free survival, and overall survival. Results: 50 HCC patients (43M/7F; median age 60 years [range 32-82]; ECOG PS 0/1: 21/29) were enrolled. The initial dose of SGI-110 was 60 mg/m2 (4 patients treated), but due to grade 4 neutropenia, the dose was decreased to 45 mg/m2 for subsequent patients. SGI 110 was well tolerated at 45 mg/m2; myelosuppression was the major adverse event. Full PK was available from 16 patients (3F/13M). The PK profile for SGI-110 after 45 mg/m2 showed protracted conversion to deliver active metabolite decitabine with exposure window lasting beyond 8-hr and mean(SD) decitabine AUC exposures of 94(22) ng*hr/mL that were comparable to those achieved in AML/MDS after 60 mg/m2. Potent LINE-1 demethylation was observed in blood (-35.6%, n = 27) and in tumor (-12.9%, n = 10) DNA; significant demethylation (-27.4%, n = 6) was also observed on promoter of tumor suppressor gene MZB1 which is frequently hypermethylated and silenced in HCC. Conclusions: SGI-110 was well tolerated at a dose of 45 mg/m2 administered SC on D1-5 of a 28-day cycle. PK was consistent with that seen in another solid tumor study and provided more persistent decitabine exposures compared with PK in hematologic malignancies. The PD changes in blood and tumor LINE-1 and MZB-1 methylation are promising and consistent with the desired biologic effect of SGI-110. Analysis for clinical efficacy is ongoing. Citation Format: Anthony El-Khoueiry, Mary F. Mulcahy, Tanios Bekaii-Saab, Richard Kim, Crystal Denlinger, Rakesh Goel, Shweta Gupta, Simone Jueliger, Aram Oganesian, Harold Keer, John Nemunaitis. Pharmacodynamic (PD) and pharmacokinetic (PK) results of the second-generation hypomethylating agent, SGI-110, in patients with hepatocellular carcinoma (HCC) after progression on sorafenib. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2947. doi:10.1158/1538-7445.AM2015-2947

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)0.001
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 score0.195
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.060
GPT teacher head0.357
Teacher spread0.297 · 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

Citations9
Published2015
Admission routes1
Has abstractyes

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