POS0140 PREDICTING OUTCOMES IN SYSTEMIC SCLEROSIS: STRATIFICATION BY AUTO-ANTIBODIES OUTPERFORMS CUTANEOUS SUBSETTING IN THE EUSTAR COHORT

Background

Risk-stratification is key in a heterogeneous disease like systemic sclerosis (SSc). Until now, SSc patients are stratified according to the extent of skin involvement into limited cutaneous, diffuse cutaneous and sine scleroderma subtypes. However, this classification remains inaccurate to capture disease heterogeneity. Autoantibodies are found in more than 90% of the patients and can be detected before onset of the disease. Among them, three predominant and specific antibodies are used: anti-centromere, anti-Scl70 and RNA polymerase III antibodies.

Objectives

To compare the performances of stratification into LeRoy’s cutaneous subtypes versus autoantibody status in SSc versus combination of cutaneous subtypes and autoantibodies status.

Methods

Patients from the EUSTAR database were classified either as (i) limited cutaneous, diffuse cutaneous or sine scleroderma (based on the recording made by the treating physician) or (ii) according to autoantibodies with the following subclassifications: (1) no specific autoantibodies, (2) isolated ANA, (3) anti-centromere antibodies, (4) anti-Scl70 antibodies and (5) anti-RNA polymerase III antibodies or (iii) according to combination of cutaneous subset and auto-antibodies. The respective performance of each model to predict overall survival (OS), progression-free survival (PFS), disease progression and different organ involvements was assessed and the three models were compared by the area under the receiver operating characteristic curve (AUC 95%CI) and the net reclassification improvement (NRI). Missing data were imputed through multiple imputation using chain equations.

Results

In all, 10’711 patients were included: 84.6% females, mean age: 54.4±13.8 years, mean disease duration: 7.9±8.2 years. In the prospective analysis (n= 6’467 to 7’829 according to the outcome), after a mean follow-up of 56 months and a mean of three visits per patient, we did not identify any difference in AUC between the cutaneous-based model and the antibody-based model for prediction of OS and disease progression. However, the NRI showed a significant improvement in prediction of OS (0.57 [0.46-0.71] vs. 0.29 [0.19-0.39]) and disease progression (0.36 [0.29-0.46] vs. 0.21 [0.14-0.28]) at 4 years using the antibody-based model. Regarding prediction of each organ involvement in longitudinal analyses, the antibody-based model showed better performance than the cutaneous-one for renal crisis (AUC: 0.719 [0.696-0.742] vs. 0.664 [0.643-0.685]), with the highest association observed with anti-RNA polymerase III (OR: 7.47 [1.63-34.24], p= 0.010). Similarly, the antibody-based model was better than the cutaneous model in predicting lung fibrosis (AUC 0.719 [0.715-724] vs. 0.653 [0.647-0.659]) and restrictive lung fibrosis (AUC 0.759 [0.749-0.766] vs. 0.711 [0.701-0.721]) which were both associated with anti-Scl70 antibodies (OR: 9.29 [8.17-10.55] and 7.92 [5.37-11.69], respectively, p<0.0001 for both). Although there was no difference in the AUC to predict digital ulcers, NRI showed an improvement using the antibody-based model (0.31 [0.29-0.33] vs. 0.24 [0.22-0.26]) with the highest association with anti-Scl70 antibodies (OR: 3.57 [2.68-4.75], p<0.0001). The two models had similar performances in assessing occurrence of intestinal involvement, heart dysfunction or elevated sPAP. Combining both antibody status and cutaneous subtype did not improve the performance of our models. In the exploratory analysis, there was no change using modified Rodnan skin score to define cutaneous form.

Conclusion

Auto-antibody status outperforms the common cutaneous subsetting to risk-stratify SSc patients in the EUSTAR cohort. This easily performed subclassification using autoantibodies specific status can be used by the clinicians to risk-stratify their patients and to adapt disease monitoring in routine practice.

Disclosure of Interests

Muriel Elhai Speakers bureau: BMS outside of the submitted work, Marouane Boubaya: None declared, Nanthara Sritharan: None declared, Alexandra Balbir-Gurman: None declared, Elise Siegert: None declared, Eric Hachulla: None declared, Jeska de Vries-Bouwstra: None declared, Gabriela Riemekasten: None declared, Jörg H.W. Distler: None declared, Douglas Veale: None declared, Edoardo Rosato: None declared, Francesco Del Galdo: None declared, Fabian A Mendoza: None declared, Daniel Furst Consultant of: Abbvie, Novartis, Pfizer, R-Pharm, Grant/research support from: Emerald, Kadmon, PICORI, Pfizer,Prometheus, Talaris, Mitsubishi, Carlos De la Puente Bujidos: None declared, Anna-Maria Hoffmann-Vold Speakers bureau: Actelion, Boehringer Ingelheim, Jansen, Lilly, Medscape, Merck Sharp & Dohme, Roche, Consultant of: Actelion, ARXX, Bayer, Boehringer Ingelheim, Jansen, Lilly, Medscape, Merck Sharp & Dohme, Roche, Grant/research support from: Boehringer Ingelheim, Armando Gabrielli: None declared, Oliver Distler Speakers bureau: Bayer, Boehringer Ingelheim, Janssen, Medscape, Consultant of: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, 4P Science, Galapagos, Glenmark, Horizon, Inventiva, Kymera, Lupin, Miltenyi Biotec, Mitsubishi Tanabe, MSD, Novartis, Prometheus, Roivant, Sanofi and Topadur, Grant/research support from: Kymera, Mitsubishi Tanabe, Boehringer Ingelheim, Coralie Bloch-Queyrat: None declared, Yannick Allanore Consultant of: Actelion, Bayer, BMS, Boehringer-Ingelheim, Inventiva, Roche, Sanofi-Aventis, Grant/research support from: Actelion, Bayer, BMS, Boehringer-Ingelheim, Inventiva, Roche, Sanofi-Aventis

Abstract P3-15-01: Metastatic breast cancer: A retrospective study of clinical trials versus standard therapy

Background: Breast cancer is a leading cause of death in women. Metastatic breast cancer (MBC) was the leading cause of death among the 41,000 patients with breast cancer who died this year. The number of available clinical trials for breast cancer patients has dramatically increased over the last two decades, yet recruitment to trials remains low.

To better understand the characteristics of women with MBC who agree to participate in clinical trials (CT) as compared to those who do not, control (C), we:

1. Compared the characteristics (age, race, tumor characteristics, and disease course) of women with MBC in the groups CT and C.

2. Compared the outcomes of women with MBC (metastatic survival), who enrolled in a clinical trial vs those who did not.

3. Noted the predictors for poor MBC survival overall

Methods: Patients with MBC, from the year 2000 to 2017, were analysed retrospectively from an established metastatic database at our institution. Characteristics and outcomes were compared for patients enrolled in clinical trials (CT) with patients who were not enrolled in any trials (C). Characteristics included race, receptor status (ER/Her2), site of initial metastasis, presence of visceral and/ or CNS metastasis, number of chemotherapy and metastatic hormonal therapy cycles. Comparison of groups utilized the Chi-square test for proportions and Student's T test for means. Univariable and multivariable associations with survival were analysed using Cox regression.

Results: Of the 660 patients, 249 enrolled in clinical trial (CT) and 411 served as controls (C). Demographic analysis showed that the age at first metastasis was identical in both the groups (52.8 ± 11.4 in CT and 53.8 ± 11.2 in C). Racial distribution was predominantly Caucasian, n= 92% (CT) vs n= 89% (C), with African Americans forming 4.5% (n=11) and 8.3% (n=34) in the respective non-Caucasians in the CT and C groups (p= 0.13). No significant differences were noted between CT and C groups in the proportion of CNS metastasis, receptor status (ER/ Her2), initial site of metastasis (visceral/ non-visceral), number of cycles of chemotherapy or a diagnosis of de novo metastatic disease. The proportion of patients with visceral metastases was higher in the CT patients (82.3%) vs. (71.3%) (p &lt; 0.012). Mortality was noted to be higher in the CT group (85.9%), when compared to C (73.2%), measured over the study duration.

Survival from the diagnosis of metastatic disease was not significantly different between CT and C patients. Worse survival outcome overall was noted in patients with triple negative disease (HR 1.7, p &lt; 0.0001), presence of visceral metastases (HR 1.6, 2.0 and 1.9 for 1, 2 and 3+ visceral metastases respectively (p &lt; 0.0001) and CNS metastases (HR 1.5, p &lt; 0.0001) in the CT group.

Conclusion: No significant demographic differences were identified between the patients enrolled in CT vs C. Higher mortality was noted in the CT group over the study duration of 17 years. The CT group had a higher number of patients with visceral metastases, but lower CNS metastases as expected for clinical trial enrolment. Although no survival difference was identified based on trial enrolment, worse outcomes were seen in patients with triple negative disease, presence of visceral or CNS metastases.

Citation Format: Sritharan N, Tuft M, Rosenzweig MQ, Jankowitz RC. Metastatic breast cancer: A retrospective study of clinical trials versus standard therapy [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-15-01.

Highly immunoreactive antibodies against the rHup-F2 fragment (aa 63-161) of the iron-regulated HupB protein of Mycobacterium tuberculosis and its potential for the serodiagnosis of extrapulmonary and recurrent tuberculosis

HupB is an iron-regulated protein in Mycobacterium tuberculosis that functions as a positive regulator of mycobactin biosynthesis. It is essential for the growth and survival of the pathogen inside macrophages. Previously, using the full-length rHupB of M. tuberculosis, we demonstrated high levels of anti-HupB antibodies in the serum of pulmonary tuberculosis (TB) and, interestingly, extrapulmonary TB patients with negligible levels in household contacts and healthy controls. Here, we used three antigenic fragments of HupB, namely the recombinant HupB-F1 (aa 1-71), HupB-F2 (aa 63-161) and HupB-F3 (aa 164-214), as antigens in enzyme-linked immunosorbent assay (ELISA) to screen serum from TB patients. HupB-F2 showed enhanced immunoreactivity with serum from patients with pulmonary TB (three groups consisting of new cases, defaulters and recurrent cases) and extrapulmonary TB, with negligible levels in normal healthy controls. The negative correlation of the anti-(HupB-F2) antibodies with serum iron was maximal, with a Pearson's correlation coefficient value of -0.415. The study, in addition to strengthening the diagnostic potential of HupB, reflected the superior performance of HupB-F2 as an antigen in screening pulmonary and extrapulmonary TB.