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Record W2055922098 · doi:10.1158/1538-7445.am2011-4718

Abstract 4718: A randomized phase 2 study of the cyclin-dependent kinase (CDK) inhibitor dinaciclib (SCH 727965) in patients with advanced breast cancer

2011· article· en· W2055922098 on OpenAlexaff
Monica Mita, Anil A. Joy, Alain C. Mita, Kamalesh K. Sankhala, Jennifer L. Moseley, Da Zhang, Paul Statkevich, Ying‐Ming Jou, Siu‐Long Yao, Mark Navarro, Stephen L. Warren, Rajat Bannerji, Charles L. Shapiro

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsAlberta Cancer Foundation
Fundersnot available
KeywordsCapecitabineMedicineInternal medicineTaxaneAnthracyclineClinical endpointFebrile neutropeniaNeutropeniaOncologyBreast cancerCancerChemotherapyRandomized controlled trialColorectal cancer

Abstract

fetched live from OpenAlex

Abstract Dinaciclib is a potent, selective inhibitor of CDKs 1, 2, 5, and 9 with preclinical activity in breast cancer cell lines and tumor xenografts. A randomized, multicenter, open-label phase 2 study was conducted to compare the efficacy of dinaciclib and capecitabine (1250 mg PO) in patients (pts) with advanced, previously treated breast cancer (BC). Dinaciclib 50 mg/m2 was administered by 2-hour i.v. infusion once every 21 days. Key inclusion criteria included ≤2 prior chemotherapy regimens, prior treatment with a taxane and anthracycline, and measurable disease. According to the original design, 20 pts were to be randomized 1:1 and thereafter pts were to be randomized using an adaptive Bayesian algorithm that adjusts the randomization ratio in favor of the more active arm. The protocol was amended to continue 1:1 randomization in lieu of the adaptive approach to obtain more experience with upfront dinaciclib. Patients were allowed to cross-over to dinaciclib after progressing on capecitabine. This design provides a comparison of dinaciclib versus capecitabine and an assessment of dinaciclib activity in patients who progressed on capecitabine. Time-to-progression (TTP) was the primary endpoint for pts receiving upfront treatment, and response rate (RR) was the primary endpoint for pts who crossed over to dinaciclib. Twenty-eight pts were treated (13 dinaciclib, 15 capecitabine). Data on 19 dinaciclib treated pts, including 6 that crossed over, are presented. Their median age was 53 (34-80) with a median of 2 (1-2) prior chemotherapy regimens and median ECOG performance status of 1(0-1). ER+/PR+/Her2 receptor status is available for 10/13 pts treated with dinaciclib, including five with ER+/PR+/Her2-, one with ER-/PR-/Her2-, two with ER-/PR-/Her2+ and two with ER+/PR-/Her2-. The median number of treatment cycles was 3 (1-11). 17 pts received more than one cycle of dinaciclib treatement. Investigators reported partial responses (PR) in 2/12 (17%) evaluable subjects receiving upfront dinaciclib; both with ER+/HER2- tumors. One confirmed PR had a complete resolution of a 4 cm chest wall mass. No responses were reported on the cross over arm. Four of fifteen (27%) evaluable subjects receiving capecitabine were reported to have PR. Analysis of TTP will be presented at the meeting. Treatment-related grade 1 and 2 toxicities, occurring in >30% of pts, included diarrhea (67%), nausea (67%), vomiting (61%), neutropenia (50%) and decreased appetite (44%). The most common treatment-related grade 3 and 4 toxicities, occurring in 2 or more pts, were neutropenia (64%), leukopenia (29%), AST increased (14%) and febrile neutropenia (14%). PK results will be included in the final abstract. Dinaciclib monotherapy showed some anti-tumor activity, with acceptable safety and tolerability, in patients with ER+/Her2- BC, warranting further exploration in the combination setting. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4718. doi:10.1158/1538-7445.AM2011-4718

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.047
GPT teacher head0.389
Teacher spread0.342 · 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 designRandomized trial
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

Citations1
Published2011
Admission routes1
Has abstractyes

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