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A phase II clinical trial platform for sensitization testing using total neoadjuvant therapy (TNT) in rectal cancer: Nrg-GI002.

2019· article· en· W2914549990 on OpenAlexaff
Thomas J. George, Greg Yothers, Osama E. Rahma, Theodore S. Hong, Marcia M. Russell, Y. Nancy You, William A. Parker, Samuel A. Jacobs, Peter C. Lucas, Marc J. Gollub, William A. Hall, Lisa A. Kachnic, Namrata Vijayvergia, Norman Wolmark

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineCapecitabineColorectal cancerNeoadjuvant therapyTotal mesorectal excisionClinical endpointOncologyInternal medicineChemoradiotherapyPopulationFOLFOXCancerClinical trialSurgeryOxaliplatinBreast cancer

Abstract

fetched live from OpenAlex

TPS721 Background: Locally advanced rectal cancer (LARC) improvements have plateaued due to an inability to consistently deliver adjuvant therapy and effective novel therapies. Systematic testing of new chemotherapy and radiation sensitizers is needed to advance treatment outcomes. This NCTN multi-arm randomized phase II modular clinical trial platform utilizes TNT with parallel experimental arms (EA) in LARC. The EAs are not intended for direct comparison, but rather to test a variety of sensitizers or hypotheses in a consistent and homogenous high-risk patient (pt) population with correlative biomarkers. Success of any EA will be determined by achievement of pathologic endpoints compared to a control arm. Methods: The NRG-GI002 trial serves as a modular platform to assess novel sensitizers to neoadjuvant chemotherapy and/or chemoradiotherapy (chemoRT) in LARC. Eligibility includes LARC with any ONE of the following: distal location (cT3-4 ≤ 5 cm from anal verge, any N); bulky (any cT4 or tumor within 3 mm of the mesorectal fascia); high risk for metastatic disease (cN2); or not a candidate for sphincter-sparing surgical resection. After randomization, pts receive neoadjuvant FOLFOX x 4 mo→chemoRT (capecitabine with 50.4 Gy)→surgical resection 8-12 wks later. The first EA will assess activity of veliparib with standard chemoRT. Enrollment to this EA is complete (results anticipated late 2019). The second EA, testing pembrolizumab concurrently with and following chemoRT, is currently active, with several other EAs in development. Primary endpoint is demonstrated improvement in Neoadjuvant Rectal Cancer score for the EA v control representing a 20% relative risk reduction in DFS HR and 3-4% absolute OS improvement. Secondary endpoints include comparisons of OS, DFS, toxicity, pCR, cCR, therapy completion, negative surgical margins, sphincter preservation, sphincter function including QOL, and exploratory assessments of molecular and radiographic predictors of response and distant failure. Target accrual is 79 evaluable pts/arm with additional EAs added through protocol amendments. NCT02921256. Support: U10CA180868, -180822, UG1-189867, U24-196067; AbbVie, Merck. Clinical trial information: NCT02921256.

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)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.431
GPT teacher head0.576
Teacher spread0.144 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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