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Final results of a phase I study evaluating the combination of linsitinib, a dual inhibitor of insulin-like growth factor-1 receptor (IGF-1R), and insulin receptor (IR) with weekly paclitaxel (PAC) in patients (Pts) with advanced solid tumors.

2013· article· en· W2765291642 on OpenAlexaff
Wael A. Harb, Cristiana Sessa, Hal W. Hirte, Stanley B. Kaye, Susana Banerjee, A. Christinat, Ronit Simantov, Margaret Singh, David Sternberg, Rebecca Light, Srinivasu Poondru, R. Wendel Naumann

Bibliographic record

VenueJournal of Clinical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsJuravinski Cancer Centre
Fundersnot available
KeywordsMedicineNeutropeniaInternal medicineNauseaGastroenterologyDysgeusiaChemotherapySurgeryAdverse effect

Abstract

fetched live from OpenAlex

e13502 Background: Linsitinib (OSI-906) is an oral inhibitor of IGF-1R and IR. Increased IGF-1R and IR activity is observed in human cancers and implicated in resistance to chemotherapy. In preclinical studies, linsitinib blocked IGF-1R/IR-AKT pathway activity evoked by PAC treatment. This study combines linsitinib + a cytotoxic agent. Methods: Pts with advanced solid tumors received weekly IV PAC (80mg/m2) in 21-day cycles with intermittent linsitinib (Arm A, d1-3q7d) or continuous linsitinib (Arm B, B2 and B3, twice daily (BID) d1-21). The primary objective was to determine the maximum tolerated dose (MTD) of linsitinib + PAC using a standard 3+3 phase I design. Results: 58 pts were treated (49F:9M, median age 58 yrs). Linsitinib doses of 300mg to 600mg daily (QD) d1-3q7d in Arm A and 75mg to 150 mg BID in Arm B were evaluated. Dose limiting toxicities in Arm A (n=27) were grade G3 neutropenia, G2 neuropathy and G3 deep vein thrombosis (DVT), and in Arm B (n=31) were G3 hyperglycemia, G3 fatigue (n=2) and G4 pulmonary embolism (PE). DVT and PE were reported as unrelated to linsitinib. MTD: Arm A = 600mg QD d1-3q7d Arm B = 150mg BID. Most common drug-related toxicities in ≥20%were (any grade; G3): fatigue (60%; 15.5%), nausea (48%; 0%), alopecia (48%; 0%), diarrhea (36%; 5%), drug eruption (21%; 2%), neuropathy (26%; 2%) and dysgeusia (24%; 0%). The median duration of exposure (days) for Arm A was 64.5, 91.0, 132.0 and 159.5 for the 300mg, 400mg, 450mg and 600mg doses, respectively. In Arm B, median duration of exposure (days) was 232.0 and 87.5 for the 75mg and 150mg doses, respectively. Partial response was achieved in 6 pts (10%)-3 ovarian, 1 primary peritoneal, 1 endometrial, and 1 esophageal. Stable disease was achieved in 25 pts (43%) - 10 ovarian, 2 primary peritoneal, 1 endometrial, and 12 pts in other tumor types. Pharmacokinetic (PK) results suggested no substantial PK interaction when linsitinib was administered 2 hours prior to PAC. Conclusions: Linsitinib + PAC did not show any unexpected safety concerns given the known mechanism of action, at doses up to the single agent MTDs. Clinical trial information: NCT00889382.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.078
GPT teacher head0.402
Teacher spread0.324 · 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 designNon-randomized 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

Citations6
Published2013
Admission routes1
Has abstractyes

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