Preoperative gadoxetic acid-enhanced MRI predicts aggressive pathological features in LI-RADS category 5 hepatocellular carcinoma

AIM

To investigate whether Liver Imaging Reporting and Data System (LI-RADS) imaging features and non-LI-RADS imaging features can predict aggressive pathological features in adult patients with hepatocellular carcinoma (HCC).

MATERIALS AND METHODS

From February 2018 to September 2021, 236 adult patients with cirrhosis or hepatitis B virus infection in which liver cancer was suspected underwent MRI within 1 month before surgery. Significant MRI findings and alpha-fetoprotein (AFP) level predicted high-grade HCC and microvascular invasion (MVI) by univariate and multivariate logistic regression models.

RESULTS

The study included 112 patients with histopathologically confirmed liver cancer (≤5 cm), 35 of whom (31.3%) high-grade HCC and 42 of 112 (37.5%) patients had MVI. Mosaic architecture (odds ratio [OR] = 6.031; 95% confidence interval [CI]: 1.366, 26.626; p=0.018), coronal enhancement (OR=5.878; 95% CI: 1.471, 23.489; p=0.012), and intratumoural vessels (OR=5.278; 95% CI: 1.325, 21.020; p=0.018) were significant independent predictors of high-grade HCC. A non-smooth tumour margin (OR=10.237; 95% CI: 1.547, 67.760; p=0.016), coronal enhancement (OR=3.800; 95% CI: 1.152, 12.531; p=0.028), and peritumoural hypointensity on the hepatobiliary phase (HBP; OR=10.322; 95% CI: 2.733, 38.986; p=0.001) were significant independent predictors of MVI.

CONCLUSION

In high-risk adult patients with single LR-5 HCC (≤5 cm), mosaic architecture, coronal enhancement, and intratumoural vessels are independent predictors of high-grade HCC. Non-smooth tumour margin, coronal enhancement, and peritumoural hypointensity on HBP independently predicted MVI.

Integrative Genomic Profiling Uncovers Therapeutic Targets of Acral Melanoma in Asian Populations

PURPOSE

Acral melanoma is the major subtype of melanoma seen in Asian patients with melanoma and is featured by its insidious onset and poor prognosis. The genomic study that elucidates driving mutational events is fundamental to the development of gene-targeted therapy. However, research on genomic profiles of acral melanoma in Asian patients is still sparse.

EXPERIMENTAL DESIGN

We carried out whole-exome sequencing (WES) on 60 acral melanoma lesions (with 55 primary samples involved), targeted deep sequencing in a validation cohort of 48 cases, RNA sequencing in 37 acral melanoma samples (all from the 60 undergoing WES), and FISH in 233 acral melanoma specimens (54 of the 60 undergoing WES included). All the specimens were derived from Asian populations.

RESULTS

BRAF, NRAS, and KIT were discerned as significantly mutated genes (SMG) in acral melanoma. The detected COSMIC signature 3 related to DNA damage repair, along with the high genomic instability score, implied corresponding pathogenesis of acral melanoma. Moreover, the copy number gains of EP300 were associated with the response of acral melanoma to targeted therapy of A485 (a p300 inhibitor) and immune checkpoint blockade treatment. In addition, the temporal order in mutational processes of the samples was reconstructed, and copy-number alterations were identified as early mutational events.

CONCLUSIONS

Our study provided a detailed view of genomic instability, potential therapeutic targets, and intratumoral heterogeneity of acral melanoma, which might fuel the development of personalized strategies for treating acral melanoma in Asian populations.

POS1050 UPADACITINIB VERSUS ADALIMUMAB ON ROUTINE ASSESSMENT OF PATIENT INDEX DATA 3 (RAPID3) IN PATIENTS WITH PSORIATIC ARTHRITIS

Background

RAPID3 (Routine Assessment of Patient Index Data 3) is a disease activity index that is calculated from 3 patient-reported measures: physical function, pain, and patient global assessment. A fast and convenient tool, RAPID3 can be easily used in clinical practice and is applicable to multiple rheumatic diseases, including psoriatic arthritis (PsA), and was shown to correlate with other clinical composite measures of disease activity1. Here, we assessed the long-term effect of upadacitinib (UPA), an oral JAK inhibitor, and adalimumab (ADA) on RAPID3 scores in patients with PsA via a post hoc analysis from the SELECT-PsA 1 phase 3 trial2,3.

Objectives

To evaluate the impact of treatment with UPA vs ADA on RAPID3 through 56 weeks in SELECT-PsA 1, as well as the association of RAPID3 with other disease measures used in PsA.

Methods

Data are from the double-blind SELECT-PsA 1 trial, in which patients with PsA and an inadequate response or intolerance to ≥1 non-biologic DMARD received UPA 15 mg or 30 mg once daily, ADA 40 mg every other week (wk), or placebo (PBO; switched at wk 24 to either UPA 15 mg or 30 mg). This analysis included data from the UPA 15 mg, ADA, and PBO treatment arms. RAPID3 endpoints were calculated using pain scores, patient’s global assessment of disease activity, and HAQ-DI (each rescaled to 0–10 in this analysis); summed together, RAPID3 scores range from 0 (no disease activity) to 30 (severe activity). Mean change from baseline (BL) in RAPID3 as well as the proportions of patients reporting minimal clinically important differences (MCID) in RAPID3 and RAPID3 remission (≤3), low (LDA, >3 to ≤6), moderate (MDA, >6 to ≤12), and high disease activity (HDA, >12) were assessed through wk 56. Associations between RAPID3 scores and disease activity in psoriatic arthritis (DAPSA) and Minimal Disease Activity (MDA)/Very Low Disease Activity (VLDA) were determined by Mantel-Haenszel chi-square test. All data are as observed.

Results

A total of 1,274 patients (PBO: n=421; UPA 15 mg: n=425; ADA: n=428) were included from SELECT-PsA 1. RAPID3 scores at BL were comparable across all treatment arms, and most patients were in HDA. Patients receiving UPA showed a greater improvement from BL in RAPID3 vs ADA at all visits from wk 16 to wk 56 as well as better responses compared with PBO at all assessments (Figure 1). Similarly, a higher proportion of patients treated with UPA achieved MCID in RAPID3 scores than those on ADA from wk 24 to wk 56. By wk 56, approximately half of patients on either therapy were in RAPID3 remission or LDA, with UPA showing a slight numerical improvement relative to ADA (30/21/31/18% of patients were in remission/LDA/MDA/HDA on UPA vs 28/17/30/25% on ADA). RAPID3 disease categories were strongly associated with DAPSA and MDA/VLDA status at wk 56 across all treatment arms pooled together (Table 1) and for the UPA 15 mg arm alone (nominal P <0.0001 for all associations).

Table 1.

Association of RAPID3 With DAPSA and MDA/VLDA Across All Treatment Arms at Week 56a

RAPID3n (%)Moderate-High [>6]Low [3 - ≤6]Remission [≤3]DAPSA (n=879) Moderate-High [>14]292 (33)33 (4)14 (2) Low [4 - ≤14]154 (18)122 (14)87 (10) Remission [≤4]6 (1)21 (2)150 (17)MDA/VLDA (n=907) Not in MDA410 (45)39 (4)5 (1) MDA but not VLDA63 (7)129 (14)80 (9) VLDA013 (1)168 (19)

aDAPSA vs RAPID3 and MDA/VLDA vs RAPID3 were nominally significant at P <0.0001. Data were pooled across UPA 15 mg, ADA, and PBO to UPA 15 mg groups.

Conclusion

UPA 15 mg treatment led to greater improvements over PBO in RAPID3 scores over 56 wks in patients with PsA, and greater improvements over ADA from wk 16 to 56. The majority of patients achieved MCID in RAPID3 after 12 wks of UPA or ADA, with higher proportions achieving MCID on UPA vs ADA by wk 24. RAPID3 was strongly associated with other joint-focused (DAPSA) or multiple manifestation (MDA/VLDA) composite measures, further supporting the utility of RAPID3 in assessing disease activity in PsA.

References

[1]Coates LC, et al. Arthritis Care Res 2018; 70:1198-1205.

[2]McInnes IB, et al. N Engl J Med 2021; 384:1227-39.

[3]McInnes IB, et al. RMD Open 2021; 7: e001838.

Acknowledgements

AbbVie and the authors thank the patients, study sites, and investigators who participated in these clinical trials. AbbVie funded these studies and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing support was provided by Matthew Eckwahl, PhD, of AbbVie.

Disclosure of Interests

Laura Coates Speakers bureau: AbbVie, Amgen, Biogen, Celgene, Eli Lilly, Galapagos, Gilead, GSK, Janssen, Medac, Novartis, Pfizer and UCB., Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Gilead, Galapagos, Janssen, Moonlake, Novartis, Pfizer and UCB, Grant/research support from: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Novartis, Pfizer and UCB, Arthur Kavanaugh Consultant of: AbbVie, Amgen, AstraZeneca, BMS, Celgene, Centocor-Janssen, Pfizer, Roche, and UCB., Grant/research support from: AbbVie, Amgen, AstraZeneca, BMS, Celgene, Centocor-Janssen, Pfizer, Roche, and UCB., Erin McDearmon-Blondell Shareholder of: AbbVie, Employee of: AbbVie, Arthur Mandelin Speakers bureau: AbbVie, Pfizer, BMS, and Horizon, Consultant of: Served on advisory board at CVS Caremark, Tianming Gao Shareholder of: AbbVie, Employee of: AbbVie, William Tillett Speakers bureau: AbbVie, Amgen, Celgene, Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Celgene, Lilly, Janssen, MSD, Novartis, Pfizer, and UCB

Nanoparticle delivery of miR-21-3p sensitizes melanoma to anti-PD-1 immunotherapy by promoting ferroptosis

Background

Although anti-programmed cell death protein 1 (PD-1) immunotherapy is greatly effective in melanoma treatment, low response rate and treatment resistance significantly hinder its efficacy. Tumor cell ferroptosis triggered by interferon (IFN)-γ that is derived from tumor-infiltrating CD8⁺ T cells greatly contributes to the effect of immunotherapy. However, the molecular mechanism underlying IFN-γ-mediated ferroptosis and related potentially promising therapeutic strategy warrant further clarification. MicroRNAs (miRNAs) participate in ferroptosis execution and can be delivered systemically by multiple carriers, which have manifested obvious therapeutic effects on cancer.

Methods

MiRNAs expression profile in IFN-γ-driven ferroptosis was obtained by RNA sequencing. Biochemical assays were used to clarify the role of miR-21-3p in IFN-γ-driven ferroptosis and the underlying mechanism. MiR-21-3p-loaded gold nanoparticles were constructed and systemically applied to analyze the role of miR-21-3p in anti-PD-1 immunotherapy in preclinical transplanted tumor model.

Results

MiRNAs expression profile of melanoma cells in IFN-γ-driven ferroptosis was first obtained. Then, upregulated miR-21-3p was proved to facilitate IFN-γ-mediated ferroptosis by potentiating lipid peroxidation. miR-21-3p increased the ferroptosis sensitivity by directly targeting thioredoxin reductase 1 (TXNRD1) to enhance lipid reactive oxygen species (ROS) generation. Furthermore, miR-21-3p overexpression in tumor synergized with anti-PD-1 antibody by promoting tumor cell ferroptosis. More importantly, miR-21-3p-loaded gold nanoparticles were constructed, and the systemic delivery of them increased the efficacy of anti-PD-1 antibody without prominent side effects in preclinical mice model. Ultimately, ATF3 was found to promote miR-21-3p transcription in IFN-γ-driven ferroptosis.

Conclusions

MiR-21–3 p upregulation contributes to IFN-γ-driven ferroptosis and synergizes with anti-PD-1 antibody. Nanoparticle delivery of miR-21–3 p is a promising therapeutic approach to increase immunotherapy efficacy without obvious systemic side effects.

POS1025 COMPARISON OF COMPOSITE INDICES FOR DISEASE ACTIVITY IN PATIENTS WITH PSORIATIC ARTHRITIS TREATED WITH UPADACITINIB: A POST-HOC ANALYSIS FROM SELECT-PsA 1

Background

Achieving low disease activity (LDA) or remission is a main treatment target in PsA. Composite indices used to assess disease activity include Disease Activity index for PsA (DAPSA) and PsA Disease Activity Score (PASDAS), which both have cut points for the states of remission and LDA. In addition, LDA and remission can be assessed by the pure state instrument Minimal Disease Activity (MDA)/Very Low Disease Activity (VLDA).

Objectives

These analyses aim to identify overlap and differences between these composite indices in PsA patients treated with upadacitinib (UPA), a Janus kinase inhibitor, or adalimumab (ADA) in the phase 3 SELECT-PsA 1 trial.

Methods

In SELECT-PsA 1 (phase 3, randomized controlled trial, with long-term extension up to 5 years), patients with moderate to severely active PsA with prior inadequate response or intolerance to ≥1 non-biologic DMARD were randomized to oral UPA at doses of 15 mg or 30 mg (once daily), subcutaneous ADA 40 mg (every other week), or placebo.1 LDA was assessed using MDA (threshold: 5/7 criteria), DAPSA (≤14), PASDAS (≤3.2), and Patient Global Assessment of Disease Activity (PtGA; ≤3).2,3 These post-hoc descriptive analyses include 1-year (cut off: week 56) as observed data from UPA 15 mg and ADA.

Results

In total, 858 patients (UPA 15 mg: n=429; ADA: n=429) were included in these analyses. Patients receiving UPA and ADA were on average 52 years of age, 54% were female, with an average disease duration of approximately 6 years.1 With both UPA and ADA, there was a high degree of overlap in the proportion of patients achieving LDA thresholds in MDA, DAPSA, and PASDAS (Figure 1), with reported PtGA improvements showing a similar trend. Defining LDA according to MDA or respective cut points for DAPSA, PASDAS, or PtGA, the proportion of “non-responders” (ie, patients who did not reach such states) is shown in Figure 2. Of the individual components included in these indices, fewer patients reported low levels of SF-36 Physical Component Summary (SF36-PCS), Patient Assessment of Pain Numeric Rating Scale (Pain NRS), and Health Assessment Questionnaire - Disability Index (HAQ-DI) scores, as well as Tender Joint Count 68 (TJC68), with similar responses observed across all indices.

Conclusion

In this post-hoc analysis from the SELECT-PsA 1 trial, there was a high degree of overlap between patients in LDA across the composite indices, including MDA, DAPSA, and PASDAS, irrespective of treatment with UPA 15 mg or ADA and despite variability in inclusion of certain components in some indices but not others. Across all indices, fewer patients reported low levels of SF36-PCS, Pain NRS, and HAQ-DI scores, and TJC68. These data show that improvements in (subjective) “patient-driven” components were the most challenging to achieve. These data indicate a similar pattern of residual disease activity, or influence by residual damage or external factors, regardless of composite endpoint utilized.

References

[1]McInnes IB et al. N Engl J Med. 2021; 384(13):1227-39

[2]Kerschbaumer et al. Baillieres Best Pract Res Clin Rheumatol. 2018; 32:401-14

[3]Gorlier et al. Ann Rheum Dis. 2019; 78:201-208

Acknowledgements

AbbVie funded these studies and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. No honoraria or payments were made for authorship. Medical writing support was provided by Monica R.P. Elmore, PhD of AbbVie.

Disclosure of Interests

Josef S. Smolen Consultant of: AbbVie, BMS, Celgene, Chugai, Eli Lilly, Gilead, Janssen, MSD, Novartis-Sandoz, Pfizer, Roche, Samsung, Sanofi, and UCB, Grant/research support from: AbbVie, BMS, Celgene, Chugai, Eli Lilly, Gilead, Janssen, MSD, Novartis-Sandoz, Pfizer, Roche, Samsung, Sanofi, and UCB, Ennio Lubrano Speakers bureau: AbbVie, Celgene, Galapagos, Janssen, MSD, Novartis, and Pfizer, Consultant of: AbbVie, Celgene, Galapagos, Janssen, MSD, Novartis, and Pfizer, Grant/research support from: AbbVie, Celgene, Galapagos, Janssen, MSD, Novartis, and Pfizer, Mitsumasa Kishimoto Speakers bureau: AbbVie, Amgen-Astellas BioPharma, Asahi-Kasei Pharma, Astellas, Ayumi Pharma, BMS, Celgene, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead, Janssen, Kyowa Kirin, Novartis, Ono Pharma, Pfizer, Tanabe-Mitsubishi, and UCB, Consultant of: AbbVie, Amgen-Astellas BioPharma, Asahi-Kasei Pharma, Astellas, Ayumi Pharma, BMS, Celgene, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead, Janssen, Kyowa Kirin, Novartis, Ono Pharma, Pfizer, Tanabe-Mitsubishi, and UCB, Andra Balanescu Speakers bureau: AbbVie, Amgen, Angellini, Astra-Zeneca, Berlin-Chemie, BMS, MSD, Novartis, Pfizer, Roche, Sandoz, Teva, UCB, and Zentiva, Consultant of: AbbVie, Pfizer, and Ewopharma, Vibeke Strand Consultant of: AbbVie, Amgen, Arena, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Celltrion, Eli Lilly, Genentech/Roche, Gilead, GlaxoSmithKline, Ichnos, Inmedix, Janssen, Kiniksa, Merck, Myriad Genetics, Novartis, Pfizer, Regeneron Pharmaceuticals, Inc., Samsung, Sandoz, Sanofi, Setpoint, and UCB, Tianming Gao Shareholder of: AbbVie Inc., Employee of: AbbVie Inc., Nancy Vranich Shareholder of: AbbVie Inc., Employee of: AbbVie Inc., Ralph Lippe Shareholder of: AbbVie Inc., Employee of: AbbVie Inc., William Tillett Shareholder of: AbbVie Inc., Employee of: AbbVie Inc.

AB0904 Evaluating Numeric Rating Scale Versions of the 3 and 4 Visual Analog Scale (3/4-VAS) Composite Measures in Patients with Active Psoriatic Arthritis from the SELECT-PsA Program

Background

The multifaceted nature of psoriatic arthritis (PsA) can make it challenging to evaluate treatment targets and disease activity. Moreover, most existing assessment tools are time-consuming and not always feasible in routine clinical care, indicating a need for new disease measures that are easy to perform and calculate. Composite measures using 3-visual analog scale (VAS; physician’s global assessment, patient’s global assessment, and skin) or 4-VAS (physician’s global assessment, joints, skin, and pain) have been proposed as simpler alternatives.1 Given potential advantages of numeric rating scales (NRS) over VAS, we here adapted 3/4-VAS for use with NRS components and tested its validity via post hoc analysis of the upadacitinib (UPA) SELECT-PsA program.

Objectives

Evaluate the ability of 3/4-NRS scores to assess treatment response in SELECT-PsA 1 and 2, as well as the correlation of 3/4-NRS with other common disease activity measures.

Methods

Data are from the SELECT-PsA 1 and 2 phase 3 trials in patients with prior inadequate response or intolerance to ≥1 non-biologic DMARD or ≥1 biologic DMARD, respectively. In both trials, patients received once daily UPA 15 mg, UPA 30 mg, or placebo (PBO); SELECT-PsA 1 also included the active comparator adalimumab (ADA) 40 mg every other week (wk). 3-NRS scores were determined using the mean of SAPS questions 1–10, physician’s global assessment of disease activity, and patient’s global assessment of disease activity; 4-NRS scores were determined using the mean of SAPS questions 1–10, physician’s global assessment of disease activity, patient’s assessment of pain, and BASDAI question 3 related to joint pain and swelling. The 3/4-NRS scale ranges from 0 (no disease activity) to 10 (severe activity). 3/4-NRS and cDAPSA (DAPSA without the CRP component) were assessed at all available visits through wk 56. Correlations between 3/4-NRS with PsA disease activity score (PASDAS), routine assessment of patient index data 3 (RAPID3), DAPSA, cDAPSA, and other disease activity measures were determined by nonparametric Spearman rank correlation coefficient for UPA 15 mg patients from both trials and ADA for SELECT-PsA 1. All data are shown as observed; nominal p-values are provided throughout.

Results

A total of 1281 and 423 patients were included from SELECT-PsA 1 and 2, respectively. For both cDAPSA and 3/4-NRS scores, patients receiving UPA 15 mg showed clear numerical improvements compared with PBO at wk 24 in both trials (Table 1). 3/4-NRS scores were highly correlated with RAPID3 and PASDAS measures (r >0.6, P <0.0001) for UPA 15 mg patients at baseline (Figure 1). Moderate correlations were observed between 3/4-NRS and DAPSA/cDAPSA (r = ~0.4, P <0.0001), as well as physical function (HAQ-DI) and quality of life measures (SF-36). Nominally significant but weaker correlations were detected for joints, skin, and other disease activity assessments. Similar overall results were observed for patients receiving ADA.

Table 1.

3/4-NRS and cDAPSA Disease Activity Scores at Week 24 and 56 (As Observed)

SELECT-PsA 1Wk 24Wk 56Mean score [n]PBOUPA 15 mgADAUPA 15 mgADA3-NRS3.7 [370]2.2 [398]2.4 [398]1.8 [372]2.0 [359]4-NRS3.8 [367]2.3 [392]2.6 [395]1.9 [367]2.2 [357]cDAPSA24.0 [372]14.9 [399]16.6 [400]10.2 [372]11.3 [358]SELECT-PsA 2Wk 24Wk 56Mean score [n]PBOUPA 15 mgUPA 15 mg3-NRS4.7 [172]2.9 [190]2.4 [164]4-NRS4.9 [170]3.1 [188]2.7 [162]cDAPSA37.1 [172]21.6 [190]15.3 [166]

3/4-NRS ranges from 0–10; cDAPSA ranges from 0–154. Lower scores indicate decreased disease activity.

Conclusion

3/4-NRS was able to successfully discriminate between PBO and therapeutic groups in SELECT-PsA 1 and 2. 3/4-NRS scores correlated well with other clinical and patient reported outcome measures, including those focused on joints (DAPSA) or multiple manifestations (PASDAS), supporting 3/4-NRS as a viable and easy to use tool in daily clinical practice.

References

[1]Tillett W, et al. J Rheumatol 2021; 201675.

Acknowledgements

AbbVie and the authors thank the patients, study sites, and investigators who participated in these clinical trials. AbbVie funded these studies and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing support was provided by Matthew Eckwahl, PhD, of AbbVie.

Disclosure of Interests

William Tillett Speakers bureau: AbbVie, Amgen, Celgene, Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Celgene, Lilly, Janssen, MSD, Novartis, Pfizer, and UCB., Laura Coates Speakers bureau: AbbVie, Amgen, Biogen, BMS, Boehringer Ingelheim, Celgene, Galapagos, Gilead, GSK, Janssen, Lilly, Medac, Novartis, Pfizer, Serac, and UCB., Consultant of: AbbVie, Amgen, Biogen, BMS, Boehringer Ingelheim, Celgene, Galapagos, Gilead, GSK, Janssen, Lilly, Medac, Novartis, Pfizer, Serac, and UCB., Mitsumasa Kishimoto Consultant of: AbbVie, Amgen-Astellas BioPharma, Asahi-Kasei Pharma, Astellas, Ayumi Pharma, BMS, Celgene, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead, Janssen, Kyowa Kirin, Novartis, Ono Pharma, Pfizer, Tanabe-Mitsubishi, Teijin Pharma, and UCB Pharma., Arathi Setty Shareholder of: AbbVie, Employee of: AbbVie, Tianming Gao Shareholder of: AbbVie, Employee of: AbbVie, Ralph Lippe Shareholder of: AbbVie, Employee of: AbbVie, Philip Helliwell Paid instructor for: Educational services: Abbvie, Amgen, Novartis, Janssen, Consultant of: Eli Lilly

POS0934 EFFICACY OF UPADACITINIB ON PSORIATIC ARTHRITIS WITH AXIAL INVOLVEMENT DEFINED BY INVESTIGATOR ASSESSMENT AND PRO-BASED CRITERIA: RESULTS FROM TWO PHASE 3 STUDIES

Background

Patients with PsA and axial involvement have higher disease activity and greater reductions in quality of life;1 however, there are no accepted criteria for identifying axial involvement in PsA.

Objectives

The objective of this post-hoc analysis is to assess the efficacy of upadacitinib (UPA), a Janus kinase inhibitor, on axial symptoms in patients with active PsA and axial involvement defined by investigator assessment and PRO-based criteria from two phase 3 SELECT trials.2,3

Methods

Patients with active PsA (≥3 swollen joints and ≥3 tender joints) and prior inadequate response or intolerance to ≥1 non-biologic (SELECT-PsA 1) or ≥1 biologic (SELECT-PsA 2) DMARD were randomly assigned to once daily oral UPA 15 mg or 30 mg, placebo (PBO), or every other week subcutaneous adalimumab (ADA) 40 mg (SELECT-PsA 1 only).2,3 At baseline, axial involvement in PsA was determined by investigator assessment based on the totality of clinical information, such as duration and character of back pain, age of onset, and previous imaging. In addition to investigator assessment, PRO-based criteria for axial involvement (BASDAI ≥4 and BASDAI Question 2 ≥4 at baseline) were applied for this analysis to identify patients with active disease. Efficacy in the sub-group of patients defined using both investigator assessment and PRO-based criteria was evaluated at week 24 for UPA 15 mg vs PBO and ADA (SELECT-PsA 1 only). Data were analyzed using mixed-effect model repeated measures (MMRM) or non-responder imputation (NRI), with nominal P-values shown.

Results

Based on investigator assessment alone, 31.3% (n=534/1704) of patients in SELECT-PsA 1 and 34.2% (n=219/641) in SELECT-PsA 2 were defined as having axial involvement. When both investigator assessment and PRO-based criteria were applied, 23.1% (n=393/1704) of patients in SELECT-PsA 1, or 73.6% (n=393/534) of those defined using investigator assessment alone, and 27.5% (n=176/641) in SELECT-PsA 2, or 80.4% (n=176/219) using investigator assessment alone, met the combined criteria for axial involvement. In both studies, UPA 15 mg showed significantly greater clinical responses vs PBO at week 24 across all endpoints assessed (Figure 1). In SELECT-PsA 1, UPA showed numerically greater responses than ADA at week 24 across all BASDAI and Ankylosing Spondylitis Disease Activity Score (ASDAS) endpoints. The proportion of patients achieving ASDAS clinically important improvement (CII) at week 24 was significantly greater with UPA vs ADA based on nominal P-value.

Conclusion

Patients with active PsA and axial involvement defined by both investigator assessment and PRO-based criteria demonstrated statistically greater clinical responses related to their axial involvement with UPA 15 mg compared to PBO, and consistently numerically higher responses compared to ADA, at week 24 in the SELECT-PsA trials. Findings from this post-hoc analysis are consistent with previous data based on investigator assessment alone.4

References

[1]Mease PJ et al. J Rheumatol. 2018; 45(10):1389-96

[2]McInnes IB et al. N Engl J Med. 2021; 384(13):1227-39

[3]Mease PJ et al. Ann Rheum Dis. 2020; 80(3):312-20

[4]Deodhar A et al. Arthritis Rheumatol. 2020; 72(Suppl 10)

Acknowledgements

AbbVie funded these studies and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. No honoraria or payments were made for authorship. Medical writing support was provided by Monica R.P. Elmore, PhD of AbbVie.

Disclosure of Interests

Xenofon Baraliakos Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Chugai, Eli Lilly, Galapagos, Gilead, MSD, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Chugai, Eli Lilly, Galapagos, Gilead, MSD, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Chugai, Eli Lilly, Galapagos, Gilead, MSD, Novartis, Pfizer, and UCB, R Ranza Speakers bureau: AbbVie, Janssen, Novartis, and Pfizer, Consultant of: AbbVie, Janssen, Novartis, and Pfizer, Andrew Ostor Speakers bureau: AbbVie, Bristol-Myers Squibb, Eli Lilly, Gilead, MSD, Novartis, Pfizer, and Roche, Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Gilead, MSD, Novartis, Pfizer, and Roche, francesco ciccia Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, MSD, Novartis, Pfizer, Janssen, Sanofi, Sandoz, Galapagos, Sobi, and UCB, Grant/research support from: AbbVie, Celgene, Pfizer, Roche, and UCB, Laura Coates Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, MSD, Novartis, Pfizer, Janssen, Sanofi, Sandoz, Galapagos, Sobi, and UCB, Grant/research support from: AbbVie, Celgene, Pfizer, Roche, and UCB, Simona Rednic Consultant of: AbbVie, Boehringer Ingelheim, Eli Lilly, MSD, Novartis, and Pfizer, Grant/research support from: AbbVie, Boehringer Ingelheim, Eli Lilly, MSD, Novartis, Pfizer, and UCB, Jessica A. Walsh Consultant of: AbbVie, Amgen, Eli Lilly, Merck, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Amgen, Eli Lilly, Merck, Novartis, Pfizer, and UCB, Tianming Gao Shareholder of: AbbVie Inc., Employee of: AbbVie Inc., Apinya Lertratanakul Shareholder of: Formerly of AbbVie, Employee of: Former employee of AbbVie, In-Ho Song Shareholder of: AbbVie Inc., Employee of: AbbVie Inc., Fabiana Ganz Shareholder of: AbbVie Inc., Employee of: AbbVie Inc., Kevin Douglas Shareholder of: AbbVie Inc., Employee of: AbbVie Inc., Atul Deodhar Consultant of: AbbVie, Amgen, Aurinia, BMS, Boehringer Ingelheim, GSK, Janssen, Lilly, MoonLake, Novartis, Pfizer and UCB, Grant/research support from: AbbVie, GSK, Lilly, Novartis, Pfizer and UCB

BIN1 is a key regulator of proinflammatory and neurodegeneration-related activation in microglia

BACKGROUND

The BIN1 locus contains the second-most significant genetic risk factor for late-onset Alzheimer's disease. BIN1 undergoes alternate splicing to generate tissue- and cell-type-specific BIN1 isoforms, which regulate membrane dynamics in a range of crucial cellular processes. Whilst the expression of BIN1 in the brain has been characterized in neurons and oligodendrocytes in detail, information regarding microglial BIN1 expression is mainly limited to large-scale transcriptomic and proteomic data. Notably, BIN1 protein expression and its functional roles in microglia, a cell type most relevant to Alzheimer's disease, have not been examined in depth.

METHODS

Microglial BIN1 expression was analyzed by immunostaining mouse and human brain, as well as by immunoblot and RT-PCR assays of isolated microglia or human iPSC-derived microglial cells. Bin1 expression was ablated by siRNA knockdown in primary microglial cultures in vitro and Cre-lox mediated conditional deletion in adult mouse brain microglia in vivo. Regulation of neuroinflammatory microglial signatures by BIN1 in vitro and in vivo was characterized using NanoString gene panels and flow cytometry methods. The transcriptome data was explored by in silico pathway analysis and validated by complementary molecular approaches.

RESULTS

Here, we characterized microglial BIN1 expression in vitro and in vivo and ascertained microglia expressed BIN1 isoforms. By silencing Bin1 expression in primary microglial cultures, we demonstrate that BIN1 regulates the activation of proinflammatory and disease-associated responses in microglia as measured by gene expression and cytokine production. Our transcriptomic profiling revealed key homeostatic and lipopolysaccharide (LPS)-induced inflammatory response pathways, as well as transcription factors PU.1 and IRF1 that are regulated by BIN1. Microglia-specific Bin1 conditional knockout in vivo revealed novel roles of BIN1 in regulating the expression of disease-associated genes while counteracting CX3CR1 signaling. The consensus from in vitro and in vivo findings showed that loss of Bin1 impaired the ability of microglia to mount type 1 interferon responses to proinflammatory challenge, particularly the upregulation of a critical type 1 immune response gene, Ifitm3.

CONCLUSIONS

Our convergent findings provide novel insights into microglial BIN1 function and demonstrate an essential role of microglial BIN1 in regulating brain inflammatory response and microglial phenotypic changes. Moreover, for the first time, our study shows a regulatory relationship between Bin1 and Ifitm3, two Alzheimer's disease-related genes in microglia. The requirement for BIN1 to regulate Ifitm3 upregulation during inflammation has important implications for inflammatory responses during the pathogenesis and progression of many neurodegenerative diseases.

Treatment of cutaneous Balamuthia mandrillaris infection with diminazene aceturate: a report of 4 cases

Four cases of cutaneous Balamuthia mandrillaris infection were treated with diminazene aceturate. One patient was cured with mainly monotherapy, 2 patients were cured with diminazene aceturate and excision, and 1 patient died of drug induced liver damage. This is the first report of Balamuthia mandrillaris infection treated with diminazene aceturate.

Novel insights into heat tolerance using metabolomic and high-throughput sequencing analysis in dairy cows rumen fluid

Heat stress influences rumen fermentative processes with effects on the physiology and production of dairy cows. However, the underlying relationship between rumen microbiota and its associated metabolism with heat tolerance in cows have not been extensively described yet. Therefore, the main objective of this study was to investigate differential heat resistance in Holstein cows using rumen bacterial and metabolome analyses. We performed both principal component analysis and membership function analysis to select seven heat-tolerant (HT) and seven heat-sensitive (HS) cows. Under heat stress conditions, the HT cows had a significantly (P < 0.05) higher propionic acid content than the HS cows; while measures of the respiratory rate, acetic, and butyric acid in the HT cows were significantly (P < 0.05) lower compared with the HS cows. Also, the HT cows showed lower (P < 0.01) rectal temperature and acetic acid to propionic acid ratio than the HS group of cows. Omics sequencing revealed that the relative abundances of Muribaculaceae, Rikenellaceae, Acidaminococcaceae, Christensenellaceae, Rikenellaceae_RC9_gut_group, Succiniclasticum, Ruminococcaceae_NK4A214_group and Christensenellaceae_R-7_group were significantly (P < 0.01) higher in the HT cows; whereas Prevotellaceae, Prevotella_1, Ruminococcaceae_UCG-014, and Shuttleworthia were significantly (P < 0.01) lower in HT cows compared to HS cows. Substances mainly involved in carbohydrate metabolism, including glycerol, mannitol, and maltose, showed significantly higher content in the HT cows (P < 0.05) compared to that in the HS cows. Simultaneously, distinct metabolites were significantly correlated with differential bacteria, suggesting that glycerol, mannitol, and maltose could serve as potential biomarkers for determining heat resistance that require further study. Overall, distinct changes in the rumen microbiota and metabolomics in the HT cows may be associated with a better adaptability to heat stress. These findings suggest their use as diagnostic tools of heat tolerance in dairy cattle breeding schemes.

Long Non-Coding RNA CD27-AS1-208 Facilitates Melanoma Progression by Activating STAT3 Pathway

Melanoma is the most lethal skin cancer that originates from epidermal melanocytes. Recently, long non-coding RNAs (lncRNAs) are emerging as critical regulators of cancer pathogenesis and potential therapeutic targets. However, the expression profile of lncRNAs and their role in melanoma progression have not been thoroughly investigated. Herein, we firstly obtained the expression profile of lncRNAs in primary melanomas using microarray analysis and unveiled the differentially-expressed lncRNAs compared with nevus. Subsequently, a series of bioinformatics analysis showed the great involvement of dysregulated lncRNAs in melanoma biology and immune response. Further, we identified lncRNA CD27-AS1-208 as a novel nuclear-localized factor with prominent facilitative role in melanoma cell proliferation, invasion and migration. Mechanistically, CD27-AS1-208 could directly interact with STAT3 and contribute to melanoma progression in a STAT3-dependent manner. Ultimately, the role of CD27-AS1-208 in melanoma progression in vivo was also investigated. Collectively, the present study offers us a new horizon to better understand the role of lncRNAs in melanoma pathogenesis and demonstrates that CD27-AS1-208 up-regulation contributes to melanoma progression by activating STAT3 pathway. Targeting CD27-AS1-208 in melanoma cells can be exploited as a potential therapeutic approach that needs forward validation in clinical trials in the future.

Characteristics and diversity of microbial communities in lead-zinc tailings under heavy metal stress in north-west China

High-throughput 16S rRNA and 18S rRNA sequencing were performed to study the changes of soil microbial diversity and community structure under different heavy metal pollution levels in Chengxian lead-zinc mining area, Gansu Province. In this study, we characterized the main physicochemical properties, multiple heavy metal pollution, and microbial community structure of the soil in the tailings. The results show that the soil near the tailings pond was alkaline, barren and the heavy metals were seriously polluted. The microbial diversity and richness of S1 and S2 sites were significantly lower than that of CK2 site (P < 0·05), indicating that the heavy metal pollution could change the physicochemical properties and microbial community structure in soil. Among 97 identified core operating taxa of fungal communities, Ascomycota, Teguta and Basidiomycota were dominant at the phylum level, while among 1523 identified core operating taxa of bacterial communities, Actinomycota was dominant at the phylum level. In addition, the redundancy analysis and Spearman correlation analysis showed that the physicochemical properties and the heavy metal concentration had significant effects on the composition and distribution of soil microbial community. The basic characteristics of soil physicochemical properties, multiple heavy metal pollution and microbial community structure in the tailings were revealed, hoping to provide a basis for ecological rehabilitation of tailings by revealing the variance rule of microbial community diversity in the future.

[Evaluation of developmental toxicity of ammonium dinitramide by micromass culture and embryonic stem cells models]

Objective: To evaluated the potential developmental toxicity and teratogenicity of ammonium dinitroamide (ADN) by micromass test (MM Test) and embryonic stem cell test models. Methods: In September 2018, rat embryos were isolated and limb bud cells were collected. The limb bud cells were treated with different concentrations of ADN (0, 312.50, 625.00, 1250.00, 2500.00, 5000.00, 10000.00 μg/ml) . Half proliferation inhibitory concentration and half differentiation inhibitory concentration were calculated and the teratogenic effects were evaluated according to the criteria. For the embryonic stem cell test, the effects of different concentrations of ADN (0, 39.06, 78.13, 156.25, 312.50, 625.00, 1250.00, 2500.00 μg/ml) on the differentiation of mouse embryonic stem cells (mESCs) into myocardial cells and the cytotoxicity of mESCs and 3T3 cells were detected. The embryonic toxicity was evaluated according to the criteria. In this study, both 5-fluorouracil (5-FU) , a known strong embryonic toxic drug, and penicillin-G (P-G) , a non-embryonic toxic drug, were used to verify the effectiveness of the model, and the validated test model was applied to evaluate the embryonic toxicity of ADN. Results: In the MM Test, the inhibition rates of proliferation and differentiation of limb bud cells in ADN groups were higher than that in control group (P<0.05) . And the half proliferation inhibitory concentration and half differentiation inhibitory concentration of ADN on limb bud cells were 7480.32 and 4526.09 μg/ml, respectively. ADN was determined to be non-teratogenic by standard. In the embryonic stem cell test, the inhibition rates of mESCs proliferation in ADN groups were higher than that in control group, and the inhibition rates of 3T3 cells in 156.25, 312.50, 625.00, 1250.00, 2500.00 μg/ml ADN groups were higher than that in control group (P<0.05) . The half proliferation inhibitory concentration and half differentiation inhibitory concentration of ADN on mESCs were 1851.73 and 1796.39 μg/ml, respectively, and the half proliferation inhibitory concentration on 3T3 cells was 3334.35 μg/ml. ADN was determined to be non-embryotoxic by standard. Conclusion: After evaluation by MM Test and embryonic stem cell models, ADN has no embryo toxicity and is a non-teratogenic substance.

Whole genome survey and genetic markers development of crocodile flathead Cociella crocodilus

Flatheads in family Platycephalidae are ecologically and commercially important marine fish species in the Indo-West Pacific. Due to similar morphological characters, the taxonomy and phylogenetics of flatheads are in confusion. Studies on phylogenetics and molecular marker development are required to discriminate congeners of flatheads. In the present study, we performed whole genome survey sequencing of crocodile flathead Cociella crocodilus to provide genomic information and genetic markers of this species. In total, 54.03 Gb of clean genomic data were generated. The genome size was estimated to be 732.99 Mb with the heterozygosity ratio of 0.73% and the repeat sequence ratio of 33.48%. The preliminary assembled genome sequences were 794.07 Mb with contig N50 of 1504 bp. We detected 2 624 875 genome-wide SNPs with transition/transversion ratio of 1.422. A total of 313 842 microsatellite motifs were identified, most of which were dinucleotide motifs with a frequency of 74.89%. In addition, we assembled the complete mitogenome of C. crocodilus and subsequent phylogenetic analysis were performed. Phylogenetic analyses revealed numbers of polyphyletic groups in family Platycephalidae. The reported genomic data and genetic markers in our study should be useful in further phylogeny and phylogenomics studies of flathead species.

Balamuthia mandrillaris infection in China: a retrospective report of 28 cases

Balamuthia mandrillaris infection is a rare and fatal disease. We have recorded 28 cases of Balamuthia mandrillaris infection during the past 20 years. Eighteen patients (64%) were male and 10 (36%) were female. Patient age ranged from 3 to 74 (mean, 27) years. Patient locations were distributed among 12 Provinces in China. Twenty-seven (96%) patients lived in rural areas, and 17 (61%) patients reported a history of trauma before the appearance of skin lesions. All cases presented with skin lesions as the primary symptom, and 16 (57%) cases developed encephalitis. Histopathology of skin lesions revealed granulomatous changes with histiocytes, lymphocytes, and plasma cells infiltration. Amebas were identified in all cases with immunohistochemical staining. Follow-up information was available in 27 (96%) cases. Fifteen (56%) patients died due to encephalitis and 12 (44%) were free of disease after treatment. Our results show that the clinical characteristics of Balamuthia mandrillaris infection in China are very different from those in the US. Infection of traumatized skin may play an important role in the pathogenesis of the disease in China. Encephalitis usually develops 3–4 years after skin lesions in Chinese cases. Patients with only skin lesions have a higher cure rate than patients with encephalitis.

POS0905 ACHIEVEMENT OF PARTIAL REMISSION AND INACTIVE DISEASE IN UPADACITINIB-TREATED PATIENTS WITH ANKYLOSING SPONDYLITIS

Background:

Assessment of SpondyloArthritis international Society (ASAS) response criteria and AS Disease Activity Score (ASDAS) are both commonly used, rigorous composite indices consisting of components with relevance to patients. Clinically meaningful thresholds for these measures have been defined to reflect partial remission (PR), inactive disease (ID), and low disease activity (LDA).

Objectives:

To study the association of ASAS PR and ordinal ASDAS disease categories (including ASDAS ID, which is the most stringent category of this composite score) in upadacitinib (UPA)-treated patients with AS.

Methods:

In the SELECT-AXIS 1 (NCT03178487) study, biologic DMARD naïve-patients (pts; ≥18 y) with active AS and intolerance/contraindication or inadequate response to ≥2 NSAIDs were randomized 1:1 to UPA 15 mg once daily (QD) or placebo (PBO).1 At wk 14, pts entered an open-label extension (OLE) of UPA 15 mg QD; pts randomized to PBO were switched to UPA. This post hoc analysis assessed the responsiveness of individual ASAS and ASDAS core components among pts who achieved ASAS PR. The association of ASAS PR with achievement of ASDAS ID (ASDAS <1.3), ASDAS LDA (ASDAS <2.1 but ≥1.3) or ASDAS high disease activity (HDA)/very HDA (VHDA) (ASDAS ≥2.1 for HDA/VHDA) was also assessed by measures including Youden index, distance to perfect point, and sensitivity/specificity equality. These evaluations were performed in pts randomized to UPA from baseline (BL; continuous UPA, assessed at wk 14) and those who were randomized to PBO and switched to UPA upon entry in the OLE (PBO to UPA; re-baselined at wk 14 and assessed at wk 32, representing 18 wks of UPA exposure).

Results:

At wk 14, for the continuous UPA group, 16 pts (19%) achieved ASAS PR. At wk 32, following 18 wks of UPA exposure for the PBO-to-UPA group, 28 pts (33%) achieved ASAS PR. Among both groups (continuous UPA and PBO-to-UPA), improvements were seen across all core components (Figure 1). Of the 44 total pts who achieved ASAS PR, 91% achieved either ASDAS ID or LDA. The majority of patients who achieved ASAS PR achieved ASDAS ID in the continuous UPA and PBO-to-UPA groups: 11/16 (69%) and 16/28 (57%), respectively. For the continuous UPA group, the remaining 5 pts who achieved ASAS PR also achieved ASDAS LDA (Table 1). ASAS PR was associated with ASDAS categories in the following manner: the highest rate of ASAS PR was achieved for ASDAS ID followed by ASDAS LDA followed by ASDAS HDA/VHDA. The cutoff of 1.3 (the upper threshold for ASDAS ID) was a better discrimination threshold for ASAS PR than the cutoff of 2.1 (the upper threshold for ASDAS LDA).

Conclusion:

Nineteen percent of pts receiving UPA from BL achieved ASAS PR after 14 wks of treatment, with similar results seen in pts who were originally randomized to PBO and switched to UPA at wk 14. A consistent improvement was seen across all core components of ASAS among those who achieved ASAS PR with UPA treatment. The achievement of ASAS PR was most closely associated with the achievement of ASDAS ID, providing further clarity on the reduction of disease activity in AS pts treated with UPA.

References:

[1]van der Heijde, et al. Lancet. 2019;394(10214):2108-2117.

Table 1.

Association Between ASAS PR and ASDAS Clinical Thresholds (ID/LDA/HDA or VHDA)

ASDAS ID(<1.3)ASDAS LDA(1.3 to <2.1)ASDAS HDA or VHDA(≥2.1)Continuous UPA Groupn=15n=31n=39 ASAS PR Responders (n=16)1150 ASAS PR Non-responders (n=69)42639PBO to UPA Groupn=25n=35n=25 ASAS PR Responders (n=28)1684 ASAS PR Non-responders (n=57)92721

P<0.001 for association of ASAS PR with the ordered ASDAS categories of ID-LDA-HDA, for both Continuous UPA Group and PBO to UPA Group. P-value calculated from Cochran-Armitage trend test for association of ordinal categories.

ASAS, Assessment of SpondyloArthritis international Society response criteria; ASDAS, AS Disease Activity Score; HDA, high disease activity; ID, inactive disease; LDA, low disease activity; PBO, placebo; PR, partial remission; UPA, upadacitinib; VHDA, very high disease activity.

Acknowledgements:

AbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing support was provided by J Urbanik of AbbVie and M Hovenden and J Matsuura of Complete Publication Solutions, LLC (funded by AbbVie).

Disclosure of Interests:

Atul Deodhar Speakers bureau: Novartis and Pfizer, Consultant of: Novartis, Pfizer, AbbVie, Eli Lilly, UCB Pharma, GlaxoSmithKline, Galapagos, Janssen, Boehringer Ingelheim and Celgene, Amgen., Grant/research support from: AbbVie, Eli Lilly, UCB Pharma, GlaxoSmithKline, Andrew Ostor Consultant of: AbbVie, BMS, Roche, Janssen, Lilly, Novartis, Pfizer, UCB, Gilead, and Paradigm, anna maniccia Shareholder of: AbbVie, Employee of: AbbVie, Fabiana Ganz Shareholder of: AbbVie, Employee of: AbbVie, Tianming Gao Shareholder of: AbbVie, Employee of: AbbVie, Alvina Chu Shareholder of: AbbVie, Employee of: AbbVie, Denis Poddubnyy Speakers bureau: AbbVie, BMS, Lilly, MSD, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Biocad, Gilead, GSK, Lilly, MSD, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Lilly, MSD, Novartis, and Pfizer

POS0924 PREDICTORS OF 1-YEAR TREATMENT RESPONSE AMONG UPADACITINIB-TREATED PATIENTS WITH ANKYLOSING SPONDYLITIS: A POST HOC ANALYSIS OF SELECT-AXIS 1

Background:

Upadacitinib (UPA) is an oral Janus kinase inhibitor that has demonstrated efficacy and safety among patients with ankylosing spondylitis (AS) in the phase 2/3 SELECT-AXIS 1 study.1 If identified, early predictors of treatment response may inform treat-to-target strategies and optimize patient outcomes in AS.

Objectives:

To determine whether baseline (BL) characteristics or early responses predict clinical response at 1 year in UPA-treated patients with AS.

Methods:

In the double-blind, randomized, placebo (PBO)-controlled SELECT-AXIS 1 study, patients received UPA 15 mg once daily or PBO until Week 14.1 At Week 14, PBO-treated patients switched to UPA 15 mg; patients originally randomized to UPA continued UPA therapy. Data from patients in the PBO and UPA arms were combined based on overall exposure to UPA; in the switch arm, exposure was defined as current visit minus 14 weeks (time of switch). The following outcomes were assessed at 1 year: Ankylosing Spondylitis Disease Activity Score with C-reactive protein (ASDAS[CRP]) inactive disease (ID; <1.3) and low disease activity (LDA; <2.1), Assessment of SpondyloArthritis International Society (ASAS) partial remission (PR), and ≥40% improvement in ASAS criteria (ASAS40) response. The ability of BL characteristics, efficacy at Week 12, and back pain at Week 12 to predict 1-year outcomes was assessed using a univariable logistic regression model generating odds ratios (ORs; 95% confidence intervals). LASSO regression was used to select the best-fitted multivariable model at Week 12 for each outcome measure.

Results:

Among 187 patients who received or switched to UPA 15 mg, 70 (37.4%), 134 (71.7%), 73 (39.0%), and 131 (70.1%) achieved ASDAS(CRP) ID, ASDAS(CRP) LDA, ASAS PR, and ASAS40, respectively, following 1 year of UPA treatment. No meaningful predictors of 1-year efficacy outcomes were identified based on BL demographics (including disease duration, gender, and human leukocyte antigen B27 status) or BL disease characteristics (including ASDAS, Bath Ankylosing Spondylitis Disease Activity Index, and CRP levels). In univariable analyses, Week 12 responses based on several disease activity measures and patient-reported outcomes (PROs), including reductions (much better improvement [MBI], ≥30/≥50/≥70% reduction, or improvement) in back pain score, along with lower scores for back pain at Week 12, were associated with the achievement of ASDAS(CRP) ID, ASDAS(CRP) LDA, ASAS PR, and ASAS40 at 1 year (Figure 1). In a multivariable analysis, improvement from BL to Week 12 in back pain score consistently predicted several efficacy outcomes at 1 year.

Conclusion:

In upadacitinib-treated patients with AS, improvement in PROs and reduction in back pain score at 12 weeks predicted clinical outcomes at 1 year.

References:

[1]van der Heijde D, et al. Lancet 2019;394:2108–17.

Figure 1.

Association between Week 12 response or back pain at Week 12 and achievement of efficacy outcomes at 1 year (univariable analysis)

All ASDAS scores are calculated using C-reactive protein

ASDAS CII: change from BL ≥1.1; ASDAS MI: change from BL ≥2.0; MBI back pain: ≥2-point reduction in absolute score and ≥33% reduction from BL on a 0–10 NRS

ASAS, Assessment of SpondyloArthritis International Society; ASAS40, ≥40% improvement in ASAS criteria; ASDAS, Ankylosing Spondylitis Disease Activity Score; BASDAI50, ≥50% improvement in the Bath Ankylosing Spondylitis Disease Activity Index; BL, baseline; CI, confidence interval; CII, clinically important improvement; ID, inactive disease; LDA, low disease activity; MBI, much better improvement; MI, major improvement; NRS, numeric rating scale; OR, odds ratio; PR, partial remission

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Laura Chalmers, PhD, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Marina Magrey Consultant of: Consultant for Janssen and Novartis; member of advisory boards for Eli Lilly, Janssen, Novartis, and UCB, Grant/research support from: AbbVie, Sofia Ramiro Consultant of: AbbVie, Eli Lilly, MSD, Novartis, Sanofi, and UCB, Grant/research support from: MSD, Marcelo Pinheiro Consultant of: AbbVie, Eli Lilly, Janssen, and Novartis, Tianming Gao Employee of: AbbVie employee and may own stock or options, Fabiana Ganz Employee of: AbbVie employee and may own stock or options, In-Ho Song Employee of: AbbVie employee and may own stock or options, Ana Biljan Employee of: AbbVie employee and may own stock or options, Nigil Haroon Consultant of: AbbVie, Amgen, Eli Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Martin Rudwaleit Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, and UCB

POS0923 INFLUENCE OF BASELINE DEMOGRAPHICS ON IMPROVEMENTS IN DISEASE ACTIVITY MEASURES IN PATIENTS WITH ANKYLOSING SPONDYLITIS RECEIVING UPADACITINIB: A POST HOC SUBGROUP ANALYSIS OF SELECT-AXIS 1

Background:

Upadacitinib (UPA), an oral Janus kinase inhibitor, has demonstrated efficacy and safety through 14 weeks in the SELECT-AXIS 1 study in biologic disease-modifying antirheumatic drug-naïve patients with active ankylosing spondylitis (AS).1

Objectives:

To evaluate the efficacy of UPA 15 mg once daily (QD) in selected subgroups of patients with AS based on different baseline characteristics.

Methods:

In SELECT-AXIS 1, patients were randomized to 14 weeks of blinded treatment with UPA 15 mg QD or placebo (PBO). This post hoc analysis evaluated the proportions of patients achieving ≥40% improvement in Assessment of SpondyloArthritis International Society criteria (ASAS40), ≥50% improvement in the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI50), and change from baseline in Ankylosing Spondylitis Disease Activity Score with C-reactive protein (ASDAS[CRP]) at Week 14 across subgroups based on the following baseline patient characteristics: gender, age, body mass index, AS symptom duration, C-reactive protein (CRP) levels, Spondyloarthritis Research Consortium of Canada Magnetic Resonance Imaging index, and human leukocyte antigen B27 status. For missing data, non-responder imputation analysis was used for ASAS40 and BASDAI50, and mixed model repeated measures analysis was used for ASDAS(CRP).

Results:

Baseline disease characteristics were balanced between the treatment groups at randomization, as previously reported.1 ASAS40 and BASDAI50 response rates at Week 14 were numerically higher with UPA 15 mg versus PBO across the demographic and disease characteristic subgroups evaluated (Figure 1), including some subgroups with small sample sizes, such as patients with disease duration <5 years and female patients. Improvements from baseline in ASDAS(CRP) were also consistently greater with UPA 15 mg versus PBO across the subgroups evaluated (Table 1).

Conclusion:

Within subgroups evaluated, most patients with active AS receiving UPA 15 mg demonstrated greater improvements versus PBO in disease activity measures assessed by ASAS40, BASDAI50, and change from baseline in ASDAS(CRP). There was some evidence that gender, AS symptom duration, and baseline CRP levels seemed to influence outcomes, though results should be interpreted with caution due to small sample sizes for some subgroups.

References:

[1]van der Heijde D, et al. Lancet 2019;394:2108–17.

Table 1.

PBO-corrected mean change from baseline (95% CI) in ASDAS(CRP) at Week 14 in patients receiving UPA 15 mg by baseline subgroups (MMRM)

nASDAS(CRP)SubgroupUPA15 mgPBOPBO-corrected mean change from baseline (95% CI)GenderMale5862–1.11 (–1.37, –0.84)Female2622–0.44 (–0.92, 0.03)Age<40 years2436–1.00 (–1.42, –0.58)40–<65 years5146–0.88 (–1.17, –0.59)Body mass index<25 kg/m23237–0.92 (–1.30, –0.55)≥25 kg/m25247–0.89 (–1.20, –0.59)AS symptom duration<5 years1617–0.90 (–1.46, –0.34)≥5 years6867–0.92 (–1.18, –0.66)Baseline hsCRP≤2.8 mg/L2319–0.59 (–1.02, –0.15)>2.8–<10 mg/L3934–0.59 (–0.95, –0.23)≥10 mg/L2231–1.64 (–2.01, –1.27)Inflammation based on SPARCC MRI scoresPositivea5657–0.98 (–1.27, –0.69)Negativeb2116–0.60 (–1.08, –0.12)HLA-B27 statusPositive6266–0.97 (–1.24, –0.71)Negative2017–0.73 (–1.28, –0.17)

aSpine SPARCC score ≥2 or sacroiliac joint SPARCC score ≥2. bSpine SPARCC score <2 and sacroiliac joint SPARCC score <2

ASDAS(CRP), Ankylosing Spondylitis Disease Activity Score with C-reactive protein; CI, confidence interval; HLA-B27, human leukocyte antigen B27; hsCRP, high-sensitivity C-reactive protein; MMRM, mixed model repeated measures; MRI, magnetic resonance imaging; PBO, placebo; SPARCC, Spondyloarthritis Research Consortium of Canada; UPA, upadacitinib

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Laura Chalmers, PhD, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Filip van den Bosch Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Janssen, and UCB, Denis Poddubnyy Speakers bureau: AbbVie, Celgene, Eli Lilly, MSD, Novartis, Pfizer, Roche, and UCB, Consultant of: AbbVie, Celgene, Eli Lilly, MSD, Novartis, Pfizer, Roche, and UCB, Jayne Stigler Employee of: AbbVie employee and may own stock or options, Andrew Ostor Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Salvatore D’Angelo Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, and UCB, Victoria Navarro-Compán Speakers bureau: AbbVie, Bristol-Myers Squibb, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche, and UCB, In-Ho Song Employee of: AbbVie employee and may own stock or options, Tianming Gao Employee of: AbbVie employee and may own stock or options, Fabiana Ganz Employee of: AbbVie employee and may own stock or options, Lianne S. Gensler Consultant of: AbbVie, Eli Lilly, Gilead, GSK, Novartis, Pfizer, and UCB, Grant/research support from: Pfizer and UCB

POS0235 COMPARISON OF AXIAL AND PERIPHERAL MANIFESTATIONS IN PATIENTS WITH PSORIATIC ARTHRITIS AND ANKYLOSING SPONDYLITIS IN UPADACITINIB CLINICAL TRIALS

Background:

Axial, peripheral, and other disease manifestations often overlap between psoriatic arthritis (PsA) and ankylosing spondylitis (AS). Upadacitinib (UPA) is an oral Janus kinase inhibitor under evaluation for the treatment of PsA and AS.

Objectives:

To describe and compare baseline characteristics and UPA efficacy across 4 subgroups of patients (pts) from clinical trials: active PsA (with/without axial involvement) and active AS (with/without peripheral involvement).

Methods:

Baseline characteristics and efficacy of UPA in reducing axial and peripheral signs and symptoms were assessed via an integrated analysis across the 4 pt subgroups from the SELECT-PsA 1,1 SELECT-PsA 2,2 and SELECT-AXIS3 studies. Analyses of baseline characteristics included pts in the UPA 15 mg once daily (QD), UPA 30 mg QD, and placebo (PBO) groups; efficacy analyses included pts in the UPA 15 mg QD group only. Axial involvement in PsA (axial PsA) was determined by investigator assessment. Peripheral involvement in AS was defined based on presence of tender or swollen joints (TJC68 >0 or SJC66 >0), or presence of enthesitis at baseline (Maastricht Ankylosing Spondylitis Enthesitis Score >0).

Results:

2102 pts (UPA 15 mg; UPA 30 mg; PBO) were evaluated across the 4 subgroups (PsA [with/without axial involvement]: 626/1289; AS [with/without peripheral involvement]: 135/52). 33% of pts with PsA had axial PsA; 72% of pts with AS had peripheral symptoms. Pts with axial PsA had higher peripheral joint (TJC68 and SJC66) and skin (psoriasis) burden than pts with AS with peripheral involvement (p<0.0001). Pts with AS with peripheral involvement had significantly greater overall pain (pt’s assessment of pain; p=0.0002) and back pain (BASDAI Q2; p<0.0001) scores, and higher total BASDAI (p=0.0076) and ASDAS (p=0.0351) scores than pts with axial PsA; physician’s global assessment of disease activity, and peripheral pain and tenderness (BASDAI Q3 and Q4) were numerically similar for these 2 subgroups (Table 1). The efficacy of UPA 15 mg (measured using ASDAS and BASDAI) was generally consistent across the 4 pt subgroups regardless of peripheral or axial involvement (Figure 1).

Table 1.

Baseline demographics, medical history, and disease characteristics

Mean (SD), unless otherwise specifiedPsA with axial involvementn=626PsA without axial involvementn=1289AS with peripheral involvementn=135AS without peripheral involvementn=52p-value(PsA with axial involvement versus AS with peripheral involvement)Male, n (%)300 (47.9)583 (45.2)88 (65.2)44 (84.6)0.0003Age, years50.7 (12.6)52.0 (12.0)46.6 (12.7)42.2 (11.4)0.0008Body mass index, kg/m230.3 (7.1)30.7 (6.8)a26.7 (4.9)26.8 (5.2)*Duration of disease symptoms, years11.2 (9.3)b10.4 (9.5)a14.6 (10.9)14.0 (10.6)0.0009Duration of disease since diagnosis, years7.7 (8.0)7.3 (8.0)7.0 (9.2)6.8 (8.4)0.3738TJC6823.6 (16.4)20.6 (14.6)5.3 (8.2)0*SJC6611.9 (9.0)11.2 (8.2)1.5 (3.2)0*Psoriasis, n (%)616 (98.4)1269 (98.4)7 (5.2)0*Uveitis, n (%)1 (0.2)5 (0.4)3 (2.2)1 (1.9)0.0191Inflammatory bowel disease, n (%)10 (1.6)13 (1.0)2 (1.5)2 (3.8)1.0000PhGA6.7 (1.7)6.5 (1.7)6.7 (1.5)c6.9 (1.7)b0.6960Pain, VAS 0–106.3 (2.0)b6.1 (2.2)d6.9 (1.6)a6.8 (1.7)a0.0002ASDAS(CRP)3.4 (1.0)e3.1 (1.0)f3.5 (0.7)a3.7 (0.8)a0.0351BASDAI (Total score)6.0 (2.1)e5.5 (2.2)f6.4 (1.6)6.3 (1.8)a0.0076BASDAI Q2 (Back pain)6.1 (2.7)e4.8 (3.2)f7.2 (1.7)7.2 (1.6)a*BASDAI Q3 (Peripheral pain/ swelling)6.3 (2.4)e6.0 (2.6)f5.9 (2.4)5.5 (2.4)a0.0747BASDAI Q4 (Tenderness)5.8 (2.6)e5.6 (2.7)f6.1 (2.5)5.7 (2.4)a0.3196

*p<0.0001

Data missing for an=1, bn=3, cn=6, dn=11, en=4, fn=14

Conclusion:

Pts with PsA with axial involvement and pts with active AS showed some differences in baseline characteristics but similar improvements versus placebo with UPA 15 mg QD.

References:

[1]McInnes I, et al. Ann Rheum Dis 2020;79(Suppl 1):16–17; 2. Genovese MC, et al. Ann Rheum Dis 2020;79(Suppl 1):139; 3. van der Heijde D, et al. Lancet 2019;394:2108–17.

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Grant Thomas Kirkpatrick, MSc, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Xenofon Baraliakos Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Chugai, Eli Lilly, Galapagos, Gilead, MSD, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Chugai, Eli Lilly, Galapagos, Gilead, MSD, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Chugai, Eli Lilly, Galapagos, Gilead, MSD, Novartis, Pfizer, and UCB, Atul Deodhar Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lilly, GSK, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lilly, GSK, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, and UCB, R Ranza Speakers bureau: AbbVie, Janssen, Novartis, and Pfizer, Consultant of: AbbVie, Janssen, Novartis, and Pfizer, Simona Rednic: None declared, francesco ciccia Speakers bureau: AbbVie, Bristol-Myers Squibb, Celgene, Novartis, Pfizer, UCB, and Werfen, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, MSD, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Celgene, Chugai, Pfizer, and UCB, Fabiana Ganz Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Tianming Gao Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Apinya Lertratanakul Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, In-Ho Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Andrew Ostor Speakers bureau: AbbVie, Bristol-Myers Squibb, Eli Lilly, Gilead, MSD, Novartis, Pfizer, and Roche, Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Gilead, MSD, Novartis, Pfizer, and Roche, Laura C Coates: None declared.

OP0233 EFFICACY AND SAFETY OF UPADACITINIB IN PATIENTS WITH PSORIATIC ARTHRITIS AND AXIAL INVOLVEMENT

Background:

Patients (pts) with psoriatic arthritis (PsA) and axial involvment exhibit greater disease activity and quality of life impairments compared with those without axial involvment.

Objectives:

To characterize PsA pts with and without axial involvement and compare efficacy of UPA vs placebo (PBO) in PsA pts with axial involvement.

Methods:

In SELECT-PsA 1 (NCT03104400; N=1705, non-biologic DMARD IR) and SELECT-PsA 2 (NCT03104374; N=642, biologic DMARD IR), pts with active PsA (≥3 swollen and ≥3 tender joints), active or historical psoriasis, and on ≤2 non-biologic DMARDs were randomized to once daily UPA 15 mg, UPA 30 mg, adalimumab 40 mg every other week (SELECT-PsA 1 only), or PBO. Efficacy was assessed in pts with axial involvement (diagnosed by investigators based on totality of information) pooled from the 2 studies. Assessments included change from BL in BASDAI, BASDAI Q2 (neck/back/hip pain) and Q3 (joint swelling/pain), and the AS Disease Activity Score (ASDAS-CRP), and percentage with BASDAI 50 response, ASDAS inactive disease (ID), ASDAS low disease activity (LDA), ASDAS major improvement (MI), and ASDAS clinically important improvement (CII). Uveitis and inflammatory bowel disease (IBD) adverse events were reviewed. Data on 24-week PBO-controlled period are presented.

Results:

Prevalence of axial involvment was 31.3% in SELECT-PsA 1 and 34.2% in SELECT-PsA 2 (Table). Treatment with UPA 15 mg and 30 mg resulted in significantly greater improvements from BL in the BASDAI, BASDAI Q2 (neck/back/hip pain) and Q3 (joint swelling/pain) and ASDAS-CRP at weeks 12 and 24 vs PBO (Figure). Similarly, significantly higher percentages of pts on UPA 15 mg and 30 mg achieved BASDAI 50, ASDAS ID, LDA, MI, and CII at weeks 12 and 24 vs PBO (Figure). One pt on UPA 30 mg had incident uveitis, and no IBD was reported on UPA.

Table 1.

Demographics and Baseline Characteristics

SELECT-PsA 1SELECT-PsA 2Parameter, mean (SD)With Psoriatic Spondylitis(n=534)Without Psoriatic Spondylitis(n=1170)Pvalue*With Psoriatic Spondylitis(n=219)Without Psoriatic Spondylitis(n=421)Pvalue*BMI (kg/m2)29.9 (6.5)30.5 (6.9).081031.6 (8.0)31.3 (6.9).6226TJC6821.6 (15.1)19.2 (13.5).002227.5 (18.0)23.3 (16.2).0027SJC6611.7 (9.4)11.0 (7.9).118412.9 (9.2)11.7 (8.7).0804Physician’s Global Assessment (NRS 0–10)6.7 (1.6)6.5 (1.7).04376.6 (1.8)6.5 (1.7).1897HAQ-DI1.2 (0.6)1.1 (0.6).01701.2 (0.6)1.2 (0.7).2049n=531n=1164n=218n=416Presence of dactylitis, n (%)†188 (35.2)328 (28.0).002869 (31.5)100 (23.8).0348Presence of enthesitis, n(%)‡432 (80.9)884 (75.6).0147189 (86.3)337 (80.0).0125ASDAS–CRP3.4 (0.9)3.1 (1.0)<.00013.3 (1.0)3.2 (1.1).1032n=530n=1161n=217n=416BASDAI5.8 (2.0)5.3 (2.2)<.00016.2 (2.2)5.8 (2.2).0673n=530n=1161n=217n=416Morning Stiffness Duration (NRS 0–10; BASDAI Q6)5.0 (3.0)4.7 (3.0).03685.6 (3.2)5.1 (3.0).0454n=530n=1161n=217n=416Patient’s Assessment of Inflammatory Neck, Back, or Hip Pain (NRS 0–10; BASDAI Q2)5.8 (2.7)4.6 (3.2)<.00016.4 (2.8)5.4 (3.1).0001n=530n=1161n=217n=416

*Calculated by t-test for continuous variables and chi-square test for categorical values. Bolded if <0.05.

Defined as †LDI>0 and ‡total enthesitis count >0

Conclusion:

PsA pts with axial involvement had higher BL disease burden compared with those without axial involvement. UPA was efficacious in treating axial symptoms in pts with psoriatic spondylits.

References:

[1]van der Heijde D, et al. Lancet. 2019;394(10214):2108-2117.

Acknowledgements:

Abbvie funded the study. AbbVie participated in study design, research, analysis, data collection, interpretation of the data, reviewing, and approval. All authors had access to the relevant data and participated in the drafting, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by M Mehta, and J Matsuura of ICON plc (North Wales, PA) and was funded by AbbVie.

Disclosure of Interests:

Atul Deodhar Speakers bureau: Novartis and Pfizer, Consultant of: Novartis, Pfizer, AbbVie, Eli Lilly, UCB Pharma, GlaxoSmithKline, Galapagos, Janssen, Boehringer Ingelheim and Celgene, Grant/research support from: Novartis, Pfizer, AbbVie, Eli Lilly, UCB Pharma, GlaxoSmithKline, R Ranza Speakers bureau: AbbVie, Janssen, Lilly, Novartis, and Pfizer, Consultant of: AbbVie, Janssen, Lilly, Novartis, and Pfizer, Grant/research support from: AbbVie, Janssen, Fabiana Ganz Shareholder of: AbbVie, Employee of: AbbVie, Tianming Gao Shareholder of: AbbVie, Employee of: AbbVie, Jaclyn Anderson Shareholder of: AbbVie, Employee of: AbbVie, Andrew Ostor Consultant of: AbbVie, BMS, Roche, Janssen, Lilly, Novartis, Pfizer, UCB, Gilead, and Paradigm