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AB1455 (2024)
EXPLORING THE RISK, CAUSALITY RELATIONSHIP AND MOLECULAR MECHANISM BETWEEN SYSTEMIC LUPUS ERYTHEMATOSUS AND THYROID CANCER: A META, MENDELIAN RANDOMIZATION AND TRANSCRIPTOME ANALYSES
Keywords: Malignancy, Genetics, Prognostic factors, Artificial Intelligence
S. Liu1, H. Chen2, Q. Sun3, Y. Liu4, X. Yuan1, D. Wang1, L. Sun1
1Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, China, Department of Rheumatology and Immunology, Nanjing, China
2Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, China, Department of Rheumatology and Immunology, Nanjing, China
3Nanjing Medical University,, Nanjing, China
4Peking University, Beijing, China

Background: The relationship between Systemic Lupus Erythematosus (SLE) and Thyroid Cancer (TC) has been extensively explored through numerous studies, however, the results of the different observational cohorts are still controversial. Existing research predominantly relies on clinical findings, with limited insight into the genetic aspect. Further investigation at the genetic level is crucial for a comprehensive understanding of the SLE-TC relationship.


Objectives: To determine the causal relationship between SLE and TC risk, and to investigate the co-pathogenesis between them.


Methods: Meta-analysis was first performed to investigate the association between SLE and the risk of TC. MR analysis was then conducted to determine the potential causality between SLE and TC. Sensitivity analyses were applied to validate the reliability of MR results. Transcriptomic data analyses based on the databases were finally performed to identify and construct a SLE-related gene signature (SLEscore).


Results: The pooled estimate showed a significantly increased overall SIR for TC in SLE of 1.66 (95% CI: 1.35-2.04). The MR analysis demonstrated that genetic predisposition to SLE was casually associated with the increased risk of TC in the European cohort (OR= 1.388, 95% CI: 1.072-1.798, P=0.013). However, no casual associations were observed in the East Asian population. Furthermore, sensitivity analyses proved the robustness of the present MR results. A prognostic SLEscore consisting of four SLE-related genes (IFITM1, RAP1GAP, MT1A, and ALAS2) could distribute patients with TC into the high- and low-risk groups according to survival rates with good predictive ability both in training group and validation group (P<0.05).


Conclusion: Our MR study provided evidence that genetic changes in SLE were significantly associated with the increased risk of thyroid cancer in the European population, while no causality was found in the East Asian cohorts. Transcriptome data analyses indicated that the SLEscore could serve as a novel biomarker for predicting prognosis when TC and SLE coexisted in patients.


REFERENCES: NIL.

Overview of study design.

Details of GWASs analyzed in the present MR analyses.

Data source Phenotype Sample size Number of patients Ethnicity
ebi-a-GCST003156 Systemic lupus erythematosus 14,267 5,201 European
ebi-a-GCST90011866 Systemic lupus erythematosus 12,653 4,222 East Asian
ieu-a-1082 Thyroid cancer 1,080 649 European
ebi-a-GCST90018709 Thyroid cancer 178,723 361 East Asian

MR estimates of the casual relationships between SLE and TC.

Exposure Ethnicity nSNPs IVW method
OR (95% CI) P value
Systemic lupus erythematosus European 8 1.388 (1.072-1.798) 0.013
Systemic lupus erythematosus East Asian 292 1.000 (0.997-1.003) 0.999
Thyroid cancer European 28 1.053 (0.942-1.178) 0.361
Thyroid cancer East Asian 2 970 (0.894-1.052) 0.464

Identification of SLE−related DEGs in patients with TC, construction and verification of the prognostic model


Acknowledgements: NIL.


Disclosure of Interests: None declared.


DOI: 10.1136/annrheumdis-2024-eular.1117
Keywords: Malignancy, Genetics, Prognostic factors, Artificial Intelligence
Citation: , volume 83, supplement 1, year 2024, page 2087
Session: Across diseases (Publication Only)