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Record W4406705341 · doi:10.1093/ecco-jcc/jjae190.0031

OP31 Phase 1b study of SOR102, a novel, orally delivered bispecific anti-TNF/anti-IL-23 domain antibody in patients with mild to severe ulcerative colitis

2025· article· en· W4406705341 on OpenAlexaff
Vipul Jairath, Silvio Danese, Geert D’Haens, Brian G. Feagan, Laurent Peyrin‐Biroulet, B E Sands, Pamela Wedel, Sara Barbat, Carlos Sattler

Bibliographic record

VenueJournal of Crohn s and Colitis · 2025
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineUlcerative colitisTumor necrosis factor alphaAntibodyBispecific antibodyImmunologyGastroenterologyInternal medicineMonoclonal antibody

Abstract

fetched live from OpenAlex

Abstract Background SOR102 is a novel, orally delivered, bispecific antibody construct containing two humanized single domain antibodies (SDA) targeting TNFα and IL-23p19 connected by a trypsin-labile linker, enabling monomer separation within the small intestine and inhibition of TNFα and IL-23 activity within GI tissue. SOR102 SDAs were engineered for stability to intestinal and inflammatory proteases. The Phase 1, first-in-human study (SOR102-101; NCT06080048) had 3 parts. Parts 1 and 2 enrolled healthy subjects. Here, we present results for Part 3, a Phase 1b randomized, double-blind, placebo-controlled study in patients (pts) with mild to severe UC. Methods Pts with Mayo endoscopy score (ES) ≥2, rectal bleeding score (RBS) ≥1 and stool frequency score (SFS) ≥1 were randomized 1:1:1 to receive SOR102 810mg BID, SOR102 810mg QD, or placebo for 6 weeks. The primary objective was safety and tolerability of SOR102. Secondary objectives were the concentration of SOR102 and monomers in serum, urine and feces, and antidrug antibodies. Exploratory efficacy endpoints were Mayo Score (MS) and modified MS (mMS) clinical response, symptomatic remission (SR), and mean change from baseline in MS, mMS, UC-100 score, SFS, RBS, fecal calprotectin (FC), C-reactive protein (CRP), and Robarts Histopathology Index (RHI). Safety and efficacy were evaluated in pts who received ≥1 dose of SOR102 or placebo. Efficacy was also evaluated in pts who completed the study. Results Twenty-two pts were randomized (SOR102 810mg BID=9; SOR102 810mg QD=7; placebo=6); 17 pts completed the study. Reasons for discontinuation were worsening of UC (N=2), study schedule non-compliance (N=2) and consent withdrawal (N=1). Mean age was 50 yrs; 45% were male; median MS was 8 (range 6-11). Most pts were advanced therapy-naïve. TEAEs were reported in 57%, 29%, and 50% of pts receiving SOR102 810mg BID, SOR102 810mg QD, or placebo, respectively (Table 1); most were mild-to-moderate in severity. One AE (SOR102 810mg BID arm) was considered possibly related to SOR102 (abdominal pain of mild severity). One serious AE of worsening of UC that led to hospitalization occurred in the SOR102 810mg BID arm. Figure 1 shows exploratory efficacy results. Higher rates of MS and mMS clinical response and SR, and greater decreases from baseline in MS, mMS, UC-100, combined SFS+RBS, and RHI were observed in the SOR102 BID arm compared with QD and placebo. There were no significant differences in FC and CRP between the treatment groups. Conclusion SOR102 was safe and well tolerated. Efficacy across multiple endpoints was observed in the SOR102 BID arm compared to QD and placebo, despite the short treatment duration. Further clinical development of SOR102 is warranted. References 1.Roberts KJ et al. Preclinical development of a bispecific TNFα/IL-23 neutralising domain antibody as a novel oral treatment for inflammatory bowel disease. Sci Rep 2021;11:19422. 2.Feagan BG et al. Guselkumab plus golimumab combination therapy versus guselkumab or golimumab monotherapy in patients with ulcerative colitis (VEGA): a randomised, double-blind, controlled, phase 2, proof-of-concept trial. Lancet Gastroenterol Hepatol 2023;8:307-320.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.320
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.307
Teacher spread0.291 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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