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Record W4317862760 · doi:10.1200/jco.2023.41.4_suppl.7

Long-term results from NRG-GI002: A phase II clinical trial platform using total neoadjuvant therapy (TNT) in locally advanced rectal cancer (LARC).

2023· article· en· W4317862760 on OpenAlexaff
Thomas J. George, Greg Yothers, Osama E. Rahma, Theodore S. Hong, Marcia M. Russell, Y. Nancy You, William Parker, Samuel A. Jacobs, Peter C. Lucas, Linda H. Colangelo, Marc J. Gollub, William A. Hall, Lisa A. Kachnic, Madhuri Bajaj, Howard M. Gross, Richard A. Peterson, Jennifer A. Dorth, Namrata Vijayvergia, Norman Wolmark

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsMcGill University Health Centre
FundersNational Institutes of Health
KeywordsMedicineClinical endpointColorectal cancerRandomized controlled trialFOLFOXCapecitabineInternal medicineTotal mesorectal excisionPhases of clinical researchSurgeryGastroenterologyCancerClinical trialOxaliplatin

Abstract

fetched live from OpenAlex

7 Background: This NCTN multi-arm randomized phase II modular clinical trial platform utilizes TNT with parallel experimental arms (EAs) in LARC. EAs are not intended for direct comparison, but rather to concurrently randomized control arm (CA) patients. Primary endpoint (EP) and available secondary EPs (from EA1 using veliparib [V], PARPi; and EA2 using pembrolizumab [P], anti-PD-1) have been previously reported. We present long-term outcomes of all pts enrolled (NCT02921256). Methods: Stage II/III pts with MSS LARC (with any ONE of the following: distal location [cT3-4 ≤5cm from anal verge, any N]; bulky [any cT4 or tumor within 3mm of mesorectal fascia]; high risk for metastatic disease [cN2]; or not a sphincter-sparing surgery [SSS] candidate) were randomized to CA (neoadjuvant FOLFOX [x 4mo] → chemoRT [capecitabine with 50.4Gy] → surgery 8-12 wks later). EA1 added V (400mg PO BID) and EA2 added P (200mg IV Q3 wks x 6 doses) each concurrent with chemoRT. Primary EP: 4-point reduction in Neoadjuvant Rectal Cancer (NAR) score with a one-sided α=0.10, 80% power. NAR compared by linear model controlling for clinical T4 at entry (Y/N). Secondary EPs: OS, DFS. p-values are two-sided. Results: From 10/2016-2/2018, 178 pts were randomized (88 CA, 90 EA1). From 8/2018-5/2019, 185 pts were randomized (95 CA, 90 EA2). Baseline characteristics were previously reported. Median follow-up is 3.50 yrs for the 1st comparison. Median follow-up is 3.15 yrs for the 2nd comparison. Updated primary and long-term secondary outcomes are in the table. Conclusions: With longer follow-up, addition of V to TNT provided no significant differences in the NAR score or 3yr outcomes. The addition of P to TNT was associated with a statistically significant improvement in 3yr OS, but not DFS. Correlative molecular analyses are ongoing. Support: U10CA180868, -180822; UG1-189867; U24-196067; AbbVie; Merck. Clinical trial information: NCT02921256 . [Table: see text]

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)0.003
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.359
GPT teacher head0.573
Teacher spread0.213 · 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

Citations39
Published2023
Admission routes1
Has abstractyes

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