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BOLD-100-001 (TRIO039): A phase 2 study of BOLD-100 in combination with FOLFOX in patients with advanced mCRC previously treated with FOLFOX/CAPOX—Efficacy and safety analysis.

2024· article· en· W4391096243 on OpenAlexaff
Jennifer L. Spratlin, Grainne M. O’Kane, Do‐Youn Oh, Sun Young Rha, Elaine McWhirter, Elena Elimova, Petr Kavan, Moon Ki Choi, Dae Won Kim, Rachel Goodwin, J. Randolph Hecht, Seung Tae Kim, Dong‐Hoe Koo, Khalif Halani, E. Russell McAllister, Michelle Jones, Malcolm Snow, Yasmin Lemmerick, Gonzalo Spera, Jim Pankovich

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsTranslational Research in OncologyMcGill UniversityJewish General HospitalOttawa HospitalPrincess Margaret Cancer CentreHamilton Health SciencesUniversity Health NetworkHealth Sciences Centre
Fundersnot available
KeywordsFOLFOXMedicineColorectal cancerInternal medicinePhases of clinical researchProgressive diseaseSurgeryOncologyGastroenterologyOxaliplatinCancerChemotherapy

Abstract

fetched live from OpenAlex

143 Background: BOLD-100 is a first-in-class metallotherapeutic with a unique multimodal mechanism of action currently in phase 2 clinical development for the treatment of advanced gastrointestinal cancers. Standard treatment options for patients (pts) with metastatic colorectal cancer (mCRC) include FOLFOX or CAPOX in first or second line therapy. This study explored the benefit of BOLD-100 + FOLFOX in previously treated mCRC patients. Methods: This prospective, phase 2 study evaluates BOLD-100 + FOLFOX in pts with mCRC. All pts received prior standard treatment, including FOLFOX or CAPOX. Pts received 625 mg/m2 of BOLD-100 + FOLFOX on day 1 of each 14-day cycle and treated until progressive disease or unacceptable toxicity. The primary objective is to evaluate PFS, OS, and ORR in treated patients. Disease Control Rate (DCR) was also determined. Results: As of 31Aug2023, 36 pts with advanced mCRC were treated. Median age was 62 years (range 40-78), 56% were women, all pts were ECOG 0 (25%) or 1 (75%). Enrolled pts had a median of 4 prior systemic therapies, including FOLFOX/CAPOX. All but one patient had stage IV disease. On study, pts received a median of 6 cycles of BOLD-100 + FOLFOX [range 1-17]. Five pts remain on treatment with 19 in follow-up. Median PFS was 3.9 [2.7, 5.7] months, median OS 9.6 [6.0, 17] months, ORR 7% [1,20] and DCR 76% [58, 88] in the 29 evaluable pts. Two pts achieved a partial response, and 2 pts had target tumor lesion decreases between 20-29%. Study treatment was well tolerated. Of the 36 treated pts, 33 had 1 or more treatment-emergent adverse events (AEs), most common neutropenia (n=17, 47%), nausea (n=15, 42%), vomiting (n=8, 22%), fatigue (n=7, 19%), infusion related reaction (n=7, 19%), and pruritus (n=6, 17%). Most related AEs were grade (G) 1-2. 15 pts (42%) had G3/4 neutropenia. Despite previous oxaliplatin treatment, fewer than 6% of pts reported peripheral neuropathy or peripheral sensory neuropathy and all were G1/2. Conclusions: BOLD-100 + FOLFOX is an active and well-tolerated treatment in this heavily pre-treated Stage IV mCRC study population. There were no new safety signals. The mPFS, mOS, ORR and DCR data demonstrate significant clinical benefit and improvement over the currently available therapies, with minimal treatment emergent neuropathy or significant toxicities. This promising treatment combination should be further studied. Clinical trial information: NCT04421820 .

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)0.002
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.043
GPT teacher head0.432
Teacher spread0.389 · 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

Citations11
Published2024
Admission routes1
Has abstractyes

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