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. 2025 Oct 24;20(10):e0334897. doi: 10.1371/journal.pone.0334897

Sequencing Therapy for Optimal Response in Mirikizumab (STORM)-study: A tertiary referral center study on patients with therapy-refractory ulcerative colitis

Alica Kubesch 1,#, Raul Lande 1,#, Anna Leutgöb 1, Karima Farrag 1, Iulia Dahmer 2, Katharina Stratmann-Vollrath 1, Antje Dienethal 1, Florian Alexander Michael 1, Kathrin Sprinzl 1, Stefan Zeuzem 1, Irina Blumenstein 1,*
Editor: Vipula Rasanga Bataduwaarachchi,3
PMCID: PMC12551913  PMID: 41134755

Abstract

Background

Optimized drug sequencing is an emerging area of interest in the treatment of ulcerative colitis (UC). Comparative real-world data on treatment response to mirikizumab in a cohort with exposure to multiple biologic agents, particularly tumor necrosis factor (TNF)-naïve versus TNF-treated patients, remain limited. This study evaluated the therapeutic response to mirikizumab treatment in a cohort of patients with UC who were refractory to biologic therapy.

Methods

Consecutive patients with UC treated with mirikizumab between July 01, 2023, and May 31, 2025, at a tertiary university referral center were retrospectively analyzed. The primary endpoint was 12-week clinical remission. The secondary endpoints included clinical remission and biochemical remission between weeks 24 and 50 and between weeks 60 and 80.

Results

This study included 52 patients. Among them, 17 (32.7%) had previous exposure to ≥3 biologic agents/small molecules. The 12-week clinical remission rate was 35 of 52 patients (67.3%). There was a significant association between the treatment duration and clinical and biochemical remission. The likelihood of achieving clinical remission was 5.583 times higher after 12 weeks of intravenous mirikizumab treatment (odds ratio [OR] = 5.583, p = 0.002). Anti-TNF pretreatment had a positive effect on biochemical remission (OR = 3.489, p = 0.021). Janus kinase inhibitor pretreatment had a negative effect on clinical remission (OR = 0.19, p = 0.019).

Conclusion

Mirikizumab treatment had good short- and long-term efficacy in patients with UC who previously received biologic therapy. In particular, patients with prior anti-TNF therapies had favorable biochemical remission outcomes.

Introduction

Ulcerative colitis (UC) is a chronic inflammatory bowel disease (IBD) characterized by continuous mucosal inflammation of the colon and a relapsing–remitting course. UC significantly impairs patients’ quality of life and often requires long-term immunosuppressive therapy.

Several biologic agents and small molecules have become available over the last two decades. However, some patients exhibit inadequate response or loss of efficacy over time, thereby emphasizing the need for novel therapeutic options [15]. Among the currently available treatment options, tumor necrosis factor alpha (TNF-α) antagonists—such as infliximab, adalimumab, and golimumab—have long been a cornerstone in the management of moderate-to-severe UC. However, up to 30%–40% of patients do not respond to induction therapy with TNF-α inhibitors, and another substantial proportion loose response during maintenance therapy [6,7].

The European Crohn’s and Colitis Organization guideline does not specify a ranking order for biologic therapy. Nevertheless, in some countries (such as Belgium and the United Kingdom), anti-TNF therapies must be used as the first-line biologic therapy due to country-specific regulations [8]. In Germany, if conventional therapy (such as mesalamine) is not successful, the treating physician has the medical freedom to select any licensed advanced therapy [9]. Previous studies have shown that treatment-naïve patients have a more favorable response to biologic agents compared with those with previous exposure to anti-TNF agents [10,11]. Therefore, therapeutic sequencing is an emerging concern not only in patients with anti-TNF pretreatment but also in patients refractory to several treatment lines [12].

In particular, this issue is relevant for newer biologic agents targeting the interleukin (IL)-23 pathway. Schmitt et al. have revealed that mucosal IL-23p19 is upregulated under anti-TNF therapy. Thus, anti-TNF failure may positively affect subsequent IL-23 blockade [13]. Due to the widespread use of anti-TNF therapies as the first-line treatment, the response to mirikizumab after failed anti-TNF therapy is relevant.

IL-23 has emerged as a pivotal cytokine in the pathogenesis of UC, promoting the differentiation and maintenance of Th17 cells, which are implicated in mucosal inflammation. Mirikizumab, a humanized IgG4 monoclonal antibody targeting the p19 subunit of IL-23, has been effective in inducing and sustaining remission in patients with UC, including those with prior exposure to biologic therapies. In the LUCENT-1 (induction) and LUCENT-2 (maintenance) phase 3 trials, mirikizumab significantly improved clinical and endoscopic outcomes compared with placebo, with a favorable safety profile [14].

Importantly, post hoc analyses from these trials have revealed that mirikizumab remains highly effective even after failed anti-TNF therapy [15]. Long-term data from the LUCENT-3 extension study confirmed sustained efficacy and safety over a 3-year treatment period [16].

Randomized controlled trials have a strong internal validity. Nonetheless, their generalizability is limited due to strict eligibility criteria. Real-world data are essential for evaluating therapeutic effectiveness and safety in heterogeneous, unselected patient populations, which is typical in routine clinical practice. Further, patients exposed to more than two prior therapies or ustekinumab treatment were excluded from the pivotal trials. In addition, only an extremely limited number of patients with previous Janus kinase (JAK) inhibitor therapy comprising solely of tofacitinib were included (2% in the placebo group vs. 3.9% in the mirikizumab group) in the analysis [14].

The current study aimed to evaluate the real-world treatment outcomes of mirikizumab in patients with moderate-to-severe UC, with a particular focus on the impact of previous therapies, particularly anti-TNF-α and JAK inhibitor exposure and pretreatment with ≥3 treatment lines.

Materials and methods

Study population

All patients with confirmed UC who received induction therapy with mirikizumab, with at least three full on-label infusions, were included in the analysis. The patients were treated at the IBD outpatient clinic of Goethe University Hospital. The inclusion criteria were patients who were diagnosed with UC and aged ≥18 years. The exclusion criteria were patients without a definitive UC diagnosis, those with fewer than three IV mirikizumab infusions, and those aged <18 years. The study protocols were approved by the Medical Ethics Committee of Goethe University, University Hospital Frankfurt (approval no. 2024-1652) and written informed consent was obtained from all participants.

Study design

This was a retrospective observational study on mirikizumab treatment in patients with UC. Consecutive patients who were treated at the IBD clinic of Goethe University Hospital between July 01, 2023, and May 31, 2025, and who met the inclusion criteria were selected for the formal analysis. The patients were followed up at three time points (week 12, between weeks 24 and 50, and between weeks 60 and 80). The data was accessed for research purposes between July 1, 2025, and July 31, 2025.

Ethical considerations

This retrospective study was approved by the local ethics committee of Goethe University, University Hospital Frankfurt (approval no. 2024−1652). Further, it was conducted in accordance with the ethical and data protection regulations.

Study endpoints and assessments

Efficacy.

The primary endpoint was 12-week clinical remission. The secondary endpoints were clinical remission between weeks 24 and 50 and between weeks 60 and 80; biomarker remission at week 12, between weeks 24 and 50, and between weeks 60 and 80; and improvement in clinical and biochemical disease activity parameters at week 12, between weeks 24 and 50, and between weeks 60 and 80. The clinical disease activity was assessed by calculating clinical activity scores (Simple Clinical Colitis Activity Index [SCCAI]) [17]. Biochemical disease activity was assessed by measuring fecal calprotectin (FC) levels. Clinical/biochemical remission was assumed if the clinical/biochemical parameters for disease activity indicated remission (SCCAI ≤4/FC levels ≤250 µg/g) [18,19].

Safety/adverse events.

All adverse events (AEs) that occurred during mirikizumab treatment were documented. The AEs of special interest were major infections, malignancies, progressive multifocal leukoencephalopathy, liver injury, injection site reactions, general reactions, and hypersensitivities. The documentation included AE severity, the possible need for concomitant treatment, or changes within the biologic treatment.

Pharmacokinetics and laboratory testing.

Blood samples were obtained at baseline (week 0), week 12, and between weeks 24 and 50. At the respective time points, general laboratory parameters were measured. All laboratory tests were conducted for routine monitoring. The patients submitted a stool sample to assess biochemical disease activity by measuring FC levels at baseline, week 12, between weeks 24 and 50, and between weeks 60 and 80.

Statistical analyses.

Statistical analyses were conducted using the Statistical Package for the Social Sciences software version 29.0.2.0 (International Business Machine Corporation, Endicott, NY, the USA), RStudio (Posit PBC, Boston, the USA), and R (R Foundation for Statistical Computing, Vienna, Austria, including additional package “lqmm”). P-values ≤ 0.05 indicated statistically significant differences.

Numerical data were expressed as mean ± standard deviation for normally distributed variables, and as median and interquartile range (IQR) for non-normally distributed variables. Categorical data were presented as absolute and relative frequencies.

To compare numeric variables between groups, the t-test was used for normally distributed data and the Mann–Whitney U test (U) for non-normally distributed data. The Shapiro–Wilk test was utilized to examine normality.

Categorical variables such as clinical/biochemical remission (defined by sex, previous biologic therapy or treatment with >1 type of biologic agent) were compared between groups using the chi-square test (χ²).

The McNemar test was employed to examine differences between the use of oral steroids at baseline and week 12.

For the analyses of the variables measured at several time points for each patient, regression models (logistic, median) with mixed effects were used. Mixed-effects models are appropriate for describing the associations between a response variable and covariates (called fixed effects) in data that are grouped according to one or more classification factors (called random effects). By including a common random effect for the data in the same group, the group properties are considered when estimating model parameters. The random factor in all statistic models was the patient identifier (ID) since the data consisted of repeated measurements per patient over time.

For the analysis of the evolution of the proportion of patients with clinical/biochemical remission over time binary logistic regression analyses with mixed effects were used. Further multiple logistic regression analyses were conducted to assess the effect of previous therapies and colonic infestation pattern on clinical/biochemical remission.

The time evolution of FC levels and SCCAI was analyzed using multiple median regressions with mixed effects, using patient as a random effect and time and medication history as fixed effects.

To address missing values in the dataset, the Little’s Missing Completely at Random test was used.

Results

Study population

In total, 52 patients were included in this analysis. Among them, 17 (32.5%) were previously treated with ≥3 biological agents/small molecules, and 35 (67.33%) received <3 biological agents/small molecules. Further, 27 (51.9%) patients were managed with anti-TNF, and 25 (48.1%) were anti-TNF-naïve. Seventeen (32.5%) patients had a previous history of JAK inhibitor treatment, and 35 (67.33%) were JAK inhibitor-naïve. Table 1 shows the characteristics of the patients at baseline.

Table 1. Characteristics of the patients at baseline with percentages for categorical variables, mean ± standard deviation for normally distributed data, and median with interquartile range for non-normally distributed data.

Values
Age

n, median (IQR)
n = 52, 38 (25)
Female sex

n (%)
n = 52, 22 (42.3)
BMI

n, mean (SD)
n = 46, 25.11 (5.75)
Weight

n, median (IQR)
n = 45, 72.0 (24.5)
Disease duration (years)

n, median (IQR)
n = 52, 7.0 (10)
Active disease (clinical)

n (%)
n = 39, 21 (40.4)
Active disease (biochemical)

n (%)
n = 44, 30 (57.7)
Extended induction#

n (%)
n = 52, 27 (51.9)
Re-induction*

n (%)
n = 52, 9 (17.2)
Treatment duration (weeks)

n, median (IQR)
n = 52, 44.36 (33.46)
Oral steroids

n (%)
n = 52, 16 (30.8)
Topical steroids

n (%)
n = 52, 5 (9.6)
Previous therapy with biologic agents/small molecules

n (%)
n = 52, 43 (82.7)
≥3 biologic agent/small molecule therapies

n (%)
n = 52, 17 (32.7)
Anti-TNF treatment

n (%)
n = 52, 27 (51.9)
JAK inhibitor treatment

n (%)
n = 52, 17 (32.7)
Ustekinumab treatment

n (%)
n = 52, 16 (30.8)
Vedolizumab treatment

n (%)
n = 52, 26 (50)
Ozanimod treatment

n (%)
n = 52, 3 (5.8)
FC levels at baseline (µg/g)

n, median (IQR)
n = 45, 644 (1917)
SCCAI at baseline

n, median (IQR)
n = 42, 5.0 (5)
CRP level at baseline (mg/dL)

n, median (IQR)
n = 41, 0.39 (1.4)
Proctitis

n (%)
n = 52, 6 (11.5)
Rectosigmoiditis

n (%)
n = 52, 6 (11.5)
Left-sided colitis

n (%)
n = 52, 12 (23.1)
Pancolitis

n (%)
n = 52, 24 (46.2)
Pouchitis

n (%)
n = 52, 5 (9.6)

BMI, body mass index; CRP, C-reactive protein; FC, fecal calprotectin; IQR, interquartile range; JAK, Janus kinase, SCCAI, Simple Clinical Colitis Activity Index; SD, standard deviation; TNF, Tumor necrosis factor. *Re-induction = on-label switch to intravenous route after subcutaneous therapy, #Extended induction = on induction therapy with a total of six infusions every 4 weeks instead of three in standard induction.

Subgroup analysis of the characteristics of the patients according to the type of pretreatment

Anti-TNF pretreatment.

There was no statistically significant difference between the anti-TNF-treated and anti-TNF-naïve groups in terms of baseline characteristics such as age, sex, BMI (body mass index), disease duration, and FC and C-reactive protein (CRP) levels (S1 Table).

JAK inhibitor pretreatment.

The JAK inhibitor-treated and JAK inhibitor-naïve groups did not significantly differ in terms of baseline characteristics such as age, sex, BMI, disease duration, and FC and CRP levels (S2 Table).

Ustekinumab pretreatment.

A statistically significant difference was observed in terms of sex distribution between the ustekinumab-treated and ustekinumab-naïve group. The ustekinumab-treated group had a significantly higher proportion of female patients than the ustekinumab-naïve group. There was no statistically significant difference between the ustekinumab-treated and ustekinumab-naïve groups regarding other characteristics such as age, BMI, disease duration, and FC and CRP levels (S3 Table).

Vedolizumab pretreatment.

There was no statistically significant difference between the vedolizumab-treated and vedolizumab-naïve groups regarding baseline characteristics such as age, sex, BMI, disease duration, and FC and CRP levels (S4 Table).

Efficacy

Clinical remission at week twelve.

The 12-week clinical remission rate was 35 of the 52 patients (67.3%). Nine patients (17.3%) did not achieve clinical remission at week 12. The data of 8 patients was missing. The likelihood of achieving clinical remission was 5.583 times higher after 12 weeks of intravenous mirikizumab treatment compared with baseline (odds ratio [OR] = 5.583, p = 0.002) (Table 2).

Table 2. Results of the mixed effects logistic regression analysis of time as a predictor associated with clinical remission.
Analysis
Predictor p value OR (95% CI)
Time (week 12) 0.002 5.538 (1.914–16.024)
Time (weeks 24–50) <0.001 16.568 (3.893–70.509)
Time (weeks 60–80) Not evaluable

Clinical remission between weeks 24 and 50.

The clinical remission rate between weeks 24 and 50 was 33 of the 52 patients (63.5%). Four patients (7.7%) did not achieve clinical remission between weeks 24 and 50. The data of 15 patients was missing. The likelihood of achieving clinical remission was 16.568 times higher after 24–50 weeks of intravenous mirikizumab treatment compared with baseline (OR = 5.583, p < 0.001) (Table 2).

Clinical remission between weeks 60 and 80, interims analysis.

Thirteen patients reached the period between weeks 60 and 80. In total, 11 (84.6%) of these 13 patients exhibited clinical remission between weeks 60 and 80. Statistical analysis could not be performed at this point in time (Table 2).

Clinical remission: influence of pretreatment.

Table 3 shows the results of the multiple logistic analysis with clinical remission as a dependent variable and pretreatment as a predictor. There was a statistically significant negative association between JAK inhibitor pretreatment and clinical remission (OR = 0.19, p = 0.019).

Table 3. Results of the multiple logistic regression analysis of the pretreatment associated with clinical remission.
Analysis
Predictors p value OR (95% CI)
Anti-TNF pretreatment 0.108 0.358 (0.102–1.258)
JAK inhibitor pretreatment 0.019 0.190 (0.048–0.759)
Ustekinumab pretreatment 0.970 1.025 (0.272–3.866)
Vedolizumab pretreatment 0.885 1.148 (0.265–3.151)
≥3 biologic agent/small molecule therapies 0.405 0.582 (0.161–2.100)

JAK, Janus kinase, TNF, Tumor necrosis factor.

A statistically significant association was not observed between anti-TNF pretreatment, vedolizumab pretreatment, ustekinumab pretreatment, or ≥3 previous biologic agent/small molecule therapies and clinical remission.

Clinical remission: Effect of colonic infestation pattern.

There was no statistically significant association between the colonic infestation pattern and clinical remission (S5 Table).

Clinical response: Improvement in SCCAI.

Fig 1 shows the evolution of the SCCAI at the observed time points.

Fig 1. Time evolution of the Simple Clinical Colitis Activity Index.

Fig 1

The median SCCAI over the observed periods was lower compared with that at baseline.

A median regression analysis on the time evolution of the SCCAI was performed.

A longer treatment duration was associated with a lower SCCAI (p < 0.001) (S6 Table).

There was no statistically significant association between pretreatment and SCCAI for all tested medications and ≥3 biologic agent/small molecule therapies (S6 Table).

Biochemical remission at week twelve.

The 12-week biochemical remission rate was 13 of the 52 patients (25%). Twenty patients (38.5%) did not achieve biochemical remission at week 12. The data of 19 patients was missing. For patients who received three intravenous mirikizumab doses, there was no statistically significant increase in the biochemical remission rates at week 12 compared with baseline. There was a non-significant trend for the increase in the 12-week biochemical remission (Table 4).

Table 4. Results of the mixed effects logistic regression analysis of time as a predictor associated with biochemical remission.
Analysis
Predictors p value OR (95% CI)
Time (week 12) 0.386 1.592 (0.552–4.587)
Time (weeks 24–50) 0.006 4.343 (1.543–12.223)
Time (weeks 60–80) 0. 0 48 5.371 (1.017–28.361)

Biochemical remission between weeks 24 and 50.

The biochemical remission rate between weeks 24 and 50 was 22 of the 52 patients (42.3%). Thirteen patients (25%) did not achieve biochemical remission between weeks 24 and 50. The data of 17 patients was missing. The likelihood of achieving biochemical remission was 4.34 times higher after 24–50 weeks of intravenous mirikizumab treatment (OR = 4.34, p = 0.006) (Table 4).

Biochemical remission between weeks 60 and 80.

Thirteen patients reached biochemical the period between weeks 60 and 80. The biochemical remission rate between weeks 60 and 80 was 8 of the 13 patients (61.5%). Three of these 13 patients (23.1%) did not achieve biochemical remission between weeks 60 and 80. The data of two patients was missing. The likelihood of achieving biochemical remission was 5.37 times higher after 60–80 weeks of intravenous mirikizumab treatment (OR = 5.37, p = 0.048) (Table 4).

Biochemical remission: Influence of pretreatment.

Table 5 shows the results of the multiple logistic regression analysis of the influence of pretreatment on biochemical remission. The likelihood of achieving biochemical remission in patients with anti-TNF pretreatment was 3.489 times higher than that in anti-TNF-naïve patients (OR = 3.489, p = 0,021). There was no statistically significant association between vedolizumab pretreatment, ustekinumab pretreatment, JAK inhibitor pretreatment, or ≥3previous biologic agent/small molecule therapies and biochemical remission.

Table 5. Results of the multiple logistic regression analysis of pretreatment as a predictor associated with biochemical remission.
Analysis
Predictors p-values OR (95% CI)
Anti-TNF pretreatment 0.021 3.489 (1.209–10.072)
JAK inhibitor pretreatment 0.189 0.462 (0.145–1.471)
Ustekinumab pretreatment 0.104 2.563 (0.821–8.003)
Vedolizumab pretreatment 0.240 0.522 (0.176–1.552)
≥3 biologic agent/small molecule therapies 0.170 2.192 (0.711–6.760)

JAK, Janus kinase, TNF, Tumor necrosis factor.

Biochemical remission: Effect of colonic infestation pattern.

There was a statistically significant association between isolated rectal inflammation and biochemical remission (OR = 6.474, p = 0.041) (S7 Table). No statistically significant association was observed between left-sided colitis or pancolitis and biochemical remission, probably due to the inclusion of a small number of patients. Left-sided inflammation might have a non-significant advantage compared with pancolitis.

Biochemical response: Improvement in FC levels.

Fig 2 shows the evolution of the FC levels at the observed time points. The median FC level at the observed periods was lower than that at baseline.

Fig 2. Time evolution of the fecal calprotectin levels.

Fig 2

A longer treatment duration was associated with lower FC levels (p = 0.003 at week 12 and p < 0.001 between weeks 24 and 50 and between weeks 60 and 80) (S8 Table).

There was no statistically significant association between pretreatment and the FC levels for all tested medications and ≥3 biologic agent/small molecule therapies (S8 Table).

Concomitant oral steroids.

In total, 16 (30.8%) patients were on oral steroids at baseline. The patients taking oral steroids at baseline had a median of 2 (IQR: 2) previous biological therapies. Among them, 8 (50%) were previously treated with anti-TNF therapy, 4 (25%) with JAK inhibitor therapy, 3 (18.8%) with ustekinumab therapy, and 10 (62.5) with vedolizumab therapy.

Only 7 (43.8%) of 16 patients remained on steroid treatment at week 12, which indicated a significant reduction (p = 0.008). However, seven patients who were not on oral steroids at baseline were managed with oral steroids at week 12. Thus, the total number of patients who were taking oral steroids was 14. Seven patients were also managed with biologic agents, with a median of 2 (IQR: 3) previous biological therapies. Among them, 3 (42.9%) had more than two previous biological therapies, and four (57.1%) received anti-TNF therapy.

Safety/adverse events.

After the first infusion and the first infusion of re-induction, one patient exhibited patchy reddish-livid discoloration in both legs and arms and edema in the feet. These symptoms completely regressed after one week. After switching to subcutaneous application, no similar symptoms were observed.

One patient developed pneumococcal pneumonia during the mirikizumab therapy. The condition healed completely after antibiotic therapy, and no inpatient treatment was required. A coincidental occurrence of the infection could be considered, and no further major events were documented.

Analysis of missing data.

Based on the Little’s Missing Completely at Random test, there was no evidence opposing the hypothesis that the data were missing in a completely random manner (χ2 (218) = 211.768, p = 0.606).

Discussion

Due to the increasing number of therapeutic options for IBD, there is a need for smart therapeutic sequencing, which can provide patients with the best personalized early treatment option during the course of their disease.

Current real-world information on mirikizumab has shown encouraging outcomes, including steroid-free remission and favorable safety in both biologic-naïve and biologic-treated patients [20]. Nevertheless, comparative real-world data on treatment response in TNF-naïve versus TNF-treated patients remain limited.

To the best of our knowledge, the current study first provided real-world data on anti-IL-23 treatment with mirikizumab in a UC cohort who had extensive therapeutic experience, with more than one-third of them having been exposed to ≥3 advanced treatment lines. In this study, 32.7% of the patients were pretreated with ≥3 biologic agents/small molecules and 30.8% with ustekinumab prior to mirikizumab therapy. Patients who met the abovementioned criteria would have been excluded from the LUCENT trial [14].

Based on data of the current study, mirikizumab has extremely good clinical and biochemical efficacy in this cohort over a period of >1 year. Further, anti-TNF pretreatment may have a favorable influence on biochemical remission over time.

Twelve-week clinical remission, which was the primary endpoint, was achieved in 35 (67.3%) of the 52 patients. The 12-week clinical remission rate in this cohort was higher compared with that in the LUCENT trial (24.2%). This finding might be caused by the higher remission rates at baseline in the current study. This study included 21 (42%) patients with clinical remission (SCCAI < 5) at baseline. These patients required a treatment switch despite being in clinical remission due to factors such as intolerance and the need for off-label interval shortening of previous therapies. Only patients with clinical activity and endoscopic inflammation were included in the LUCENT trial [14]. Takagi et al. reported that the 12-week clinical remission rate in a Japanese real-world cohort with UC who received mirikizumab treatment was 44.2% (23/52). In their study, only two (3.8%) patients who were in clinical remission at baseline were included [21].

Considering the effect of pretreatment has a high clinical relevance. Therefore, the association between different biological pretreatments and the clinical/biochemical remission rates was explored. Results showed a statistically significant positive association between anti-TNF pretreatment and biochemical remission (odds ratio = 3.49, p = 0.021). In a subsequent LUCENT trial subgroup analysis conducted by Hart et al., a response rate of 78.8% was still observed even after failed anti-TNF therapy, at least in terms of clinical response at week 12 or 24 [15]. These findings are in accordance with those of a study on patients with Crohn’s disease, which showed that the expansion of apoptosis-resistant intestinal TNFR2 + IL23R + T cells is associated with a lack of response to anti-TNF therapy [13]. An optimal treatment sequence or combination therapy of anti-TNF and anti-IL-23 drugs could be based on this theoretical foundation.

Singh et al. performed a network meta-analysis exploring the therapeutic response to ustekinumab and tofacitinib after anti-TNF exposure. Their study showed that the drugs had good efficacy after failed infliximab treatment in UC [22]. Both drugs were superior to vedolizumab or a second anti-TNF drug (adalimumab) [22]. Considering these results, anti-IL-23 therapy with mirikizumab may also be considered efficacious after failed anti-TNF therapy.

Interestingly, the current analysis showed a statistically significant negative association between JAK inhibitor pretreatment and clinical remission (odds ratio = 0.19, p = 0.019). This effect could be explained by the disease severity. The group of patients pretreated with JAK inhibitors (n = 17) had a median of three previous therapies (IQR: 2) and a median FC level of 1421 µg/g (IQR: 1901 µg/g) at baseline. Further, only 3 (17.6%) of the 17 patients were in clinical remission at baseline. In contrast, the median FC level of JAK inhibitor-naïve patients was 525 µg/g (IQR: 1938 µg/g), and 15 (42.9%) of 35 patients were in clinical remission at baseline.

There was no statistically significant association between anti-TNF, vedolizumab, or ustekinumab pretreatment and clinical remission with mirikizumab treatment at any timepoint during the treatment. These findings are consistent with those of Takagi et al.. In their cohort, similar clinical remission rates were also observed at week 12 between patients who had previously been treated with anti-TNF or ustekinumab [21]. Compared with the results obtained from Japan and the current findings, the patients pretreated with anti-TNF in the LUCENT trial had a lower clinical remission rate at week 12 (15.7% vs. 29.3%). However, statistical significance was not reached [14]. In the current cohort, the effect of anti-TNF or ustekinumab pretreatment was not significant, and this finding may also be attributed to the small number of cases.

This study first provided long-term real-world data as the follow-up extended up to 80 weeks. A significant increase in biochemical remission was observed between weeks 60–80 (OR = 5.37, p = 0.048). In total, 11 (84.6%) of 13 patients achieved clinical remission between weeks 60–80. Two patients had missing data. Based on these results, mirikizumab is still effective even in a pretreated cohort after more than 1 year of therapy.

Concomitant steroid use is common in patients with active disease and multiple biological pretreatments. In the current cohort, 16 (30.8%) of 52 patients were taking systemic steroids at baseline. This exceeds the proportion of patients treated with systemic steroids at baseline in the study of Takagi et al. The lower rate of systemic steroid use in the Japanese cohort may be explained by the high intake of calcineurin inhibitors. In their cohort, 16 (30.8%) of 52 patients were receiving concomitant tacrolimus, which is widely used in Japan [21]. In the current study, none of the patients received calcineurin-inhibitor therapy. Further, 56.3% of the patients who were on systemic steroids at baseline achieved complete withdrawal of corticosteroid therapy by week 12. Within 12 weeks, seven patients required systemic corticosteroid. Therefore, it remains debatable whether initiating corticosteroid treatment earlier—unless unavoidable—might facilitate an earlier discontinuation. After 50 weeks, all patients could be weaned off from steroid therapy.

The use of on-label extended induction opens a novel avenue for optimized treatment response in patients treated with mirikizumab. In the current study, induction was extended in 27 (51.9%) of 52 patients. This percentage is slightly higher than that in the study of Takagi et al. (18 [38.3%] of 47) [21]. The high proportion of extended induction in the current cohort could be explained by the higher proportion of patients with historically multiple biological previous therapies. In these patients, therapeutic response is often delayed, and the success rates are reduced.

The limitations of the current study include the absence of endoscopic association and patient reported come, limited long-term follow-up data beyond 1 year, and its single-center, retrospective design. The lack of an endoscopic endpoint is a particular point of criticism. Due to the retrospective nature of the study and the resulting lack of clinical necessity for a follow-up endoscopy in patients whose symptoms had improved, no endoscopic data could be collected. The significance of the results would certainly be higher if endoscopic endpoints of higher quality had been used.

Due to the study design, some data on the respective time points were missing, which has been taken into account in the analysis of missing data. Results showed that the data were missing in a random manner. Isolated proctitis was significantly associated with biochemical remission (OR = 6.47, p = 0.041). However, due to the small number of cases (n = 6), this result should be interpreted with caution. Nevertheless, further studies with a larger number of cases should be performed to validate this possible association.

Conclusions

In conclusion, even in a therapy-refractory UC cohort who received multiple pretreatments, mirikizumab is an effective and low-risk therapeutic option. The current results indicate that patients with anti-TNF pretreatment could benefit from mirikizumab therapy. Moreover, a previous JAK inhibitor therapy might be associated with an unfavorable response to mirikizumab therapy.

Supporting information

S1 Table. Characteristics of the anti-TNF-treated and anti-TNF-naïve patients at baseline.

with percentages for categorical variables, mean ± standard deviation for normally distributed data, and median with interquartile range for non-normally distributed data.

(PDF)

pone.0334897.s001.pdf (113.8KB, pdf)
S2 Table. Characteristics of the JAK inhibitor-treated and JAK inhibitor-naïve patients at baseline.

with percentages for categorical variables, mean ± standard deviation for normally distributed data, and median with interquartile range for non-normally distributed data.

(PDF)

pone.0334897.s002.pdf (113.4KB, pdf)
S3 Table. Characteristics of the ustekinumab-treated and ustekinumab-naïve patients at baseline.

with percentages for categorical variables, mean and standard deviation for normally distributed data, and median with interquartile range for non-normally distributed data.

(PDF)

pone.0334897.s003.pdf (113.6KB, pdf)
S4 Table. Characteristics of the vedolizumab-treated and vedolizumab-naïve patients at baseline.

with percentages for categorical variables, mean ± standard deviation for normally distributed data, and median with interquartile range for non-normally distributed data.

(PDF)

pone.0334897.s004.pdf (113.8KB, pdf)
S5 Table. Results of the multiple logistic regression analysis of colonic infestation pattern associated with clinical remission.

(PDF)

pone.0334897.s005.pdf (52.9KB, pdf)
S6 Table. Results of the multiple median regression analysis with mixed effects for SCCAI as a dependent variable.

(PDF)

pone.0334897.s006.pdf (87KB, pdf)
S7 Table. Results of the multiple logistic regression analysis of colonic infestation pattern associated with biochemical remission.

(PDF)

pone.0334897.s007.pdf (65KB, pdf)
S8 Table. Results of the multiple median regression analysis with mixed effects for FC as a dependent variable.

(PDF)

pone.0334897.s008.pdf (91KB, pdf)

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

Alica Kubesch was funded by the Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR, Federal Ministry of Research, Technology and Space) ‒ 01EO2102 INITIALISE Advanced Clinician Scientist Program. BMFTR (Federal Ministry of Research, Technology and Space) funded the research rotation of Alica Kubesch as a clinician scientist, but did not influence the content of the research. The funder had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

References

  • 1.Honap S, Jairath V, Danese S, Peyrin-Biroulet L. Navigating the complexities of drug development for inflammatory bowel disease. Nat Rev Drug Discov. 2024;23(7):546–62. doi: 10.1038/s41573-024-00953-0 [DOI] [PubMed] [Google Scholar]
  • 2.Vootukuru N, Vasudevan A. Approach to loss of response to advanced therapies in inflammatory bowel disease. World J Gastroenterol. 2024;30(22):2902–19. doi: 10.3748/wjg.v30.i22.2902 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Le Berre C, Honap S, Peyrin-Biroulet L. Ulcerative colitis. Lancet. 2023;402(10401):571–84. doi: 10.1016/S0140-6736(23)00966-2 [DOI] [PubMed] [Google Scholar]
  • 4.State M, Negreanu L. Defining the failure of medical therapy for inflammatory bowel disease in the era of advanced therapies: a systematic review. Biomedicines. 2023;11:544. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Puca P, Capobianco I, Coppola G, et al. Cellular and Molecular Determinants of Biologic Drugs Resistance and Therapeutic Failure in Inflammatory Bowel Disease. Int J Mol Sci. 2024;25(5):2789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Zhao M, Larsen L, Dige A, et al. Clinical Outcomes After First-Line Anti- Tumor-Necrosis-Factor Treatment of Patients With Inflammatory Bowel Disease-A Prospective Multicenter Cohort Study. J Crohns Colitis. 2025;19(5):jjae192. [DOI] [PubMed] [Google Scholar]
  • 7.Marsal J, Barreiro-de Acosta M, Blumenstein I, et al. Management of non-response and loss of response to anti-tumor necrosis factor therapy in inflammatory bowel disease. Front Med. 2022;9:897936. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Raine T, Bonovas S, Burisch J, Kucharzik T, Adamina M, Annese V, et al. ECCO Guidelines on Therapeutics in Ulcerative Colitis: Medical Treatment. J Crohns Colitis. 2022;16(1):2–17. doi: 10.1093/ecco-jcc/jjab178 [DOI] [PubMed] [Google Scholar]
  • 9.Kucharzik T, Dignass A, Atreya R, Bokemeyer B, Esters P, Herrlinger K, et al. Aktualisierte S3-leitlinie colitis ulcerosa (version 6.2). Z Gastroenterol. 2024;62:769–858. [DOI] [PubMed] [Google Scholar]
  • 10.Singh S, George J, Boland BS, Vande Casteele N, Sandborn WJ. Primary Non-Response to Tumor Necrosis Factor Antagonists is Associated with Inferior Response to Second-line Biologics in Patients with Inflammatory Bowel Diseases: A Systematic Review and Meta-analysis. J Crohns Colitis. 2018;12(6):635–43. doi: 10.1093/ecco-jcc/jjy004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bressler B. Is there an optimal sequence of biologic therapies for inflammatory bowel disease? Therap Adv Gastroenterol. 2023;16:17562848231159452. doi: 10.1177/17562848231159452 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Yanofsky R, Rubin DT. A practical approach to positioning therapies in ulcerative colitis. J Can Assoc Gastroenterol. 2025;8(Suppl 2):S6–14. doi: 10.1093/jcag/gwae058 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Schmitt H, Billmeier U, Dieterich W, Rath T, Sonnewald S, Reid S, et al. Expansion of IL-23 receptor bearing TNFR2+ T cells is associated with molecular resistance to anti-TNF therapy in Crohn’s disease. Gut. 2019;68(5):814–28. doi: 10.1136/gutjnl-2017-315671 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.D’Haens G, Dubinsky M, Kobayashi T, Irving PM, Howaldt S, Pokrotnieks J, et al. Mirikizumab as Induction and Maintenance Therapy for Ulcerative Colitis. N Engl J Med. 2023;388(26):2444–55. doi: 10.1056/NEJMoa2207940 [DOI] [PubMed] [Google Scholar]
  • 15.Hart A, Martín-Arranz MD, Laharie D, Matsuoka K, Dhesi E, Redondo I, et al. OP14 Effect of mirikizumab on clinical and endoscopic outcomes after 1 anti-TNF failure in patients with moderately to severely active Ulcerative Colitis. J Crohn’s Colitis. 2024;18(Supplement_1):i27–8. doi: 10.1093/ecco-jcc/jjad212.0014 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sands BE, D’Haens G, Clemow DB, Irving PM, Johns JT, Gibble TH, et al. Three-Year Efficacy and Safety of Mirikizumab Following 152 Weeks of Continuous Treatment for Ulcerative Colitis: Results From the LUCENT-3 Open-Label Extension Study. Inflamm Bowel Dis. 2024;31(7):1876–90. doi: 10.1093/ibd/izae253 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Walmsley RS, Ayres RC, Pounder RE, Allan RN. A simple clinical colitis activity index. Gut. 1998;43(1):29–32. doi: 10.1136/gut.43.1.29 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Dulai PS, Feagan BG, Sands BE, Chen J, Lasch K, Lirio RA. Prognostic Value of Fecal Calprotectin to Inform Treat-to-Target Monitoring in Ulcerative Colitis. Clin Gastroenterol Hepatol. 2023;21(2):456–66.e7. doi: 10.1016/j.cgh.2022.07.027 [DOI] [PubMed] [Google Scholar]
  • 19.Rubin DT, Ananthakrishnan AN, Siegel CA, Barnes EL, Long MD. ACG Clinical Guideline Update: Ulcerative Colitis in Adults. Am J Gastroenterol. 2025;120(6):1187–224. [DOI] [PubMed] [Google Scholar]
  • 20.St-Pierre J, Choi D, Fear E, Choi NK, Mathew AJ, Cohen RD, et al. Mirikizumab in the Treatment of Ulcerative Colitis: Initial Real-World Data in a Population from a Large Tertiary Center. Dig Dis Sci. 2025;70(5):1864–72. doi: 10.1007/s10620-025-08950-y [DOI] [PubMed] [Google Scholar]
  • 21.Takagi Y, Sato T, Nishiguchi T, Nogami A, Igeta M, Yagi S, et al. Real-World Effectiveness and Safety of Mirikizumab Induction Therapy in Patients With Ulcerative Colitis: A Multicentre Retrospective Observational Study. Aliment Pharmacol Ther. 2025;61(12):1923–34. doi: 10.1111/apt.70140 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Singh S, Murad MH, Fumery M, Dulai PS, Sandborn WJ. First- and Second-Line Pharmacotherapies for Patients With Moderate to Severely Active Ulcerative Colitis: An Updated Network Meta-Analysis. Clin Gastroenterol Hepatol. 2020;18(10):2179–91.e6. doi: 10.1016/j.cgh.2020.01.008 [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision Letter 0

Vipula Bataduwaarachchi

25 Sep 2025

Dear Dr.  Blumenstein, 

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Academic Editor

PLOS ONE

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[Note: HTML markup is below. Please do not edit.]

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: No

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously? -->?>

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available??>

The PLOS Data policy

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English??>

Reviewer #1: Yes

Reviewer #2: Yes

**********

Reviewer #1: While the retrospective study is acknowledged, the inclusion criterion of “≥3 infusions” requires further clarification.

Clinical remission was indicated by SCCAI ≤4 and biochemical remission by FC ≤250 µg/g. No endoscopic remission data was included. Even in retrospective settings, lack of endoscopic correlation limits clinical value; this should be addressed in the debate.

The statistical models (mixed effects logistic regression, median regression) are appropriate, however the paper might benefit from more justification and how patient-level random effects were included.

Reviewer #2: Greetings

The subiect of this manuscript is important, this study provided real-world data on anti-IL-23 treatment

with mirikizumab in a UC cohort who had extensive therapeutic experience, with more than

one-third of them having been exposed to ≥3 advanced treatment lines. But dear authors kindly note the minor points and edit them.

Minor points,

1. In this manuscript, the pronoun "Our" (15 times) was used. In scientific writing, it is better to avoid the pronouns. Please replace them with formal scientific expressions such as "This study," "The present study," or "The current study."

2.Several references [ 5,6,17,18 and 19] are old. Please try to cite more recent references.

3- Kindly I suggest to add conclusion section after the discussion section.

Kind regards

**********

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Reviewer #1: No

Reviewer #2: No

**********

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PLoS One. 2025 Oct 24;20(10):e0334897. doi: 10.1371/journal.pone.0334897.r002

Author response to Decision Letter 1


1 Oct 2025

Dear Reviewers,

we thank you for the constructive and important critiques, which helped to improve our revised manuscript significantly. We have reworked the manuscript. The changes are highlighted yellow and we have addressed your comments point by point below.

Reviewer #1 remarks

1. While the retrospective study is acknowledged, the inclusion criterion of “≥3 infusions” requires further clarification.

This indeed seems confusing; we have have adjusted the statement (line 105).

2. Clinical remission was indicated by SCCAI ≤4 and biochemical remission by FC ≤250 µg/g. No endoscopic remission data was included. Even in retrospective settings, lack of endoscopic correlation limits clinical value; this should be addressed in the debate.

Thank you very for this important comment. The issue of the missing endoscopic endpoint has now been emphasized more strongly in the discussion (lines 452-456)

3. The statistical models (mixed effects logistic regression, median regression) are appropriate, however the paper might benefit from more justification and how patient-level random effects were included.

We understand the confusion surrounding the application of the statistical model. We have therefore added a further explanation in the Methods section (lines 170-184).

Reviewer #2 remarks

1. In this manuscript, the pronoun "Our" (15 times) was used. In scientific writing, it is better to avoid the pronouns. Please replace them with formal scientific expressions such as "This study," "The present study," or "The current study."

We agree and have revised the whole manuscript regarding the pronoun “our” and we have replaced it by formal expressions.

2. Several references [ 5,6,17,18 and 19] are old. Please try to cite more recent references.

In fact, we have replaced all sources you mentioned with more recent ones, with the exception of source 17. This is the original work, including validation of the SCCAI score.

3. Kindly I suggest to add conclusion section after the discussion section.

We absolutely agree. The conclusion section has been added (line 465).

we thank you for the constructive and important critiques, which helped to improve our revised manuscript significantly. We have reworked the manuscript. The changes are highlighted yellow and we have addressed your comments point by point below.

We would like to thank you once again for your constructive criticism and would appreciate your positive feedback.

We look forward to hearing from you at your earliest convenience.

Sincerely,

Prof. Dr. Irina Blumenstein

Attachment

Submitted filename: Respone to Reviewers.docx

pone.0334897.s010.docx (51.5KB, docx)

Decision Letter 1

Vipula Bataduwaarachchi

6 Oct 2025

Sequencing Therapy for Optimal Response in Mirikizumab (STORM)-Study: A Tertiary Referral Center Study on Patients with Therapy-Refractory Ulcerative Colitis

PONE-D-25-43407R1

Dear Dr. Blumenstein,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Vipula Rasanga Bataduwaarachchi, MD

Academic Editor

PLOS ONE

Acceptance letter

Vipula Bataduwaarachchi

PONE-D-25-43407R1

PLOS ONE

Dear Dr. Blumenstein,

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on behalf of

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Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Characteristics of the anti-TNF-treated and anti-TNF-naïve patients at baseline.

    with percentages for categorical variables, mean ± standard deviation for normally distributed data, and median with interquartile range for non-normally distributed data.

    (PDF)

    pone.0334897.s001.pdf (113.8KB, pdf)
    S2 Table. Characteristics of the JAK inhibitor-treated and JAK inhibitor-naïve patients at baseline.

    with percentages for categorical variables, mean ± standard deviation for normally distributed data, and median with interquartile range for non-normally distributed data.

    (PDF)

    pone.0334897.s002.pdf (113.4KB, pdf)
    S3 Table. Characteristics of the ustekinumab-treated and ustekinumab-naïve patients at baseline.

    with percentages for categorical variables, mean and standard deviation for normally distributed data, and median with interquartile range for non-normally distributed data.

    (PDF)

    pone.0334897.s003.pdf (113.6KB, pdf)
    S4 Table. Characteristics of the vedolizumab-treated and vedolizumab-naïve patients at baseline.

    with percentages for categorical variables, mean ± standard deviation for normally distributed data, and median with interquartile range for non-normally distributed data.

    (PDF)

    pone.0334897.s004.pdf (113.8KB, pdf)
    S5 Table. Results of the multiple logistic regression analysis of colonic infestation pattern associated with clinical remission.

    (PDF)

    pone.0334897.s005.pdf (52.9KB, pdf)
    S6 Table. Results of the multiple median regression analysis with mixed effects for SCCAI as a dependent variable.

    (PDF)

    pone.0334897.s006.pdf (87KB, pdf)
    S7 Table. Results of the multiple logistic regression analysis of colonic infestation pattern associated with biochemical remission.

    (PDF)

    pone.0334897.s007.pdf (65KB, pdf)
    S8 Table. Results of the multiple median regression analysis with mixed effects for FC as a dependent variable.

    (PDF)

    pone.0334897.s008.pdf (91KB, pdf)
    Attachment

    Submitted filename: Respone to Reviewers.docx

    pone.0334897.s010.docx (51.5KB, docx)

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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