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FRI0293 Characterization and risk estimate of cancer in primary sjÖgren syndrome: analysis in 1300 patients
  1. P Brito-Zerόn1,2,
  2. B Kostov3,
  3. G Fraile4,
  4. D Caravia-Durán5,
  5. B Maure6,
  6. F-J Rascόn7,
  7. M Zamora8,
  8. A Casanovas9,
  9. M Lopez-Dupla10,
  10. M Ripoll11,
  11. B Pinilla12,
  12. E Fonseca13,
  13. M Akasbi14,
  14. G de la Red15,
  15. M-A Duarte-Millán16,
  16. P Fanlo17,
  17. P Guisado-Vasco18,
  18. R Pérez-Alvarez19,
  19. AJ Chamorro20,
  20. C Morcillo1,
  21. I Jiménez-Heredia21,
  22. I Sánchez-Berná2,8,
  23. M Ramos-Casals2,
  24. on behalf of the GEAS-SEMI
  1. 1Autoimmune Diseases Unit, Hosp CIMA-Sanitas
  2. 2Laboratory of Autoimmune Diseases Josep Font, Hosp Clínic
  3. 3IDIBAPS, Barcelona
  4. 4Hosp Ramόn y Cajal, Madrid
  5. 5Hosp Universitario Central de Asturias, Oviedo
  6. 6Complejo Hosp Universitario, Vigo
  7. 7Hosp Son Espases, Palma de Mallorca
  8. 8Hosp Virgen de las Nieves, Granada
  9. 9Hosp Parc Taulí, Sabadell
  10. 10Hosp Joan XXIII, Tarragona
  11. 11Hosp Infanta Sofía
  12. 12Hosp Gregorio Marañόn, Madrid
  13. 13Hosp de Cabueñes, Gijόn
  14. 14Hosp Infanta Leonor, Madrid
  15. 15Hosp Esperit Sant, Santa Coloma de Gramenet
  16. 16Hosp de Fuenlabrada, Fuenlabrada
  17. 17Hosp Virgen del Camino, Pamplona
  18. 18Complejo Hosp Ruber Juan Bravo, Madrid
  19. 19Hosp Alvaro Cunqueiro, Vigo
  20. 20Hosp de Salamanca, Salamanca
  21. 21Hosp de Sagunto, Valencia, Spain

Abstract

Objectives To characterize the risk of solid and hematological cancer in a large, well-characterized cohort of patients with primary Sjögren syndrome (SjS).

Methods The GEAS-SS multicenter registry is a network of Spanish reference centers with specific clinical experience in the management of SjS patients. By January 2016, we had analyzed the development of cancer in 1300 consecutive patients fulfilling the 2002 SjS classification criteria. Multivariate Cox proportional-hazards regression analysis allowed adjustment for age at diagnosis, gender and the statistically-significant baseline variables associated with cancer in the univariate analysis. The sex- and age-specific incidence rates (SIR) of cancer were estimated from 2012 Spanish mortality data modeling, using a set of age-, sex- and site-specific incidence:mortality ratios.

Results After a mean follow-up of 91 months (9922.3 person-years), 127 (9.8%) patients developed 133 cancers. The most frequent type of cancer was B-cell lymphoma (34% of cancers, including 27 MALT and 19 non-MALT B-cell lymphomas). Systemic activity at diagnosis of primary SjS correlated with the risk of hematological neoplasia (HR 1.06, p<0.001). Positive cryoglobulins at SjS diagnosis were associated with a high risk of either B-cell or non-B-cell lymphoma subtypes. Patients with cytopenias had a high risk of non-MALT B-cell and non-B-cell cancer, while those with low C3 levels had a high risk of MALT lymphomas and those with monoclonal gammopathy and low C4 levels had a high risk of non-MALT B-cell lymphomas. The estimated SIR for solid cancer was 1.13 (95% CI 0.88–1.46) and 11.02 (95% CI 8.35–14.54) for hematological cancer. SIRs for specific cancers were 36.17 (95% CI 25.44–51.43) for multiple myeloma and immunoproliferative diseases, 19.41 (95% CI 7.29–51.72) for Hodgkin lymphoma, 6.04 (95% CI 3.43–10.64) for other non-Hodgkin lymphomas, 5.17 (95% CI 1.94–13.79) for thyroid cancer, 4.81 (95% CI 1.81–12.83) for cancers of the lip and oral cavity and 2.53 (95% CI 1.05–6.07) for stomach cancer.

Conclusions One third of cancers developed by patients with primary SjS are B-cell lymphomas. The prognostic factors identified at SjS diagnosis differed according to the subtype of B-cell lymphoma developed. Primary SjS is also associated with an enhanced risk of development of some types of non-hematological cancers (thyroid, oral cavity and stomach).

Disclosure of Interest None declared

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