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Abstract Number: 2901

Standardized Incidence Ratios For Cancer After Renal Transplant In Systemic Lupus Erythematosus and Non-Systemic Lupus Erythematosus Recipients

Rosalind Ramsey-Goldman1, Amarpali Brar2, Moro Salifu2, Ann E. Clarke3, Rahul M. Jindal4 and Sasha Bernatsky3, 1Medicine/Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, 2Medicine, SUNY Downstate, Brooklyn, NY, 3McGill University, Montreal, QC, Canada, 4Surgery, Uniformed Services University and George Washington University, Washington, DC

Meeting: 2013 ACR/ARHP Annual Meeting

Keywords: Lupus, Malignancy, renal disease and transplantation

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Session Information

Title: Systemic Lupus Erythematosus - Clinical Aspects: Cardiovascular and Other Complications of Lupus

Session Type: Abstract Submissions (ACR)

Background/Purpose: Differentiating between effects of drugs vs. disease activity on cancer risk in SLE is difficult. Because all renal transplant recipients are on similar immunomodulatory medications, we hypothesize that additional cancer risk due to SLE itself would manifest as a higher cancer risk in SLE vs. non-SLE transplant recipients.  

Methods: A cohort of 143,652 renal transplant recipients contributing 585,420 patient-years of follow-up were identified between 2001-2009 from the United States Renal Data System, USRDS.  Patients were stratified by primary cause of renal failure: SLE (n=4289 [3%], contributing 18,435 patient-years) and non-SLE (n=139,361 [97%], contributing 566,985 patient-years).  ICD 9 cancer codes were identified from Medicare physician claims. All cancers and individual cancer types were expressed as incidence per 100,000 patient-years.  The expected number of cancers was derived from SEER general population cancer data from 2000-2009, accounting for age and sex. Standardized incidence ratios, SIRs, were calculated by dividing the observed by the expected number of cancers and 95% confidence intervals were generated.

Results: We identified 10,160 cancers occurring 3 months post transplant in this cohort.  Tables 1 and 2, indicate a 3-4 fold increased cancer risk over-all in renal transplant recipients, vs. the general population. SIRs were similar in SLE vs. non-SLE transplant recipients  for many specific cancers, with increased risks (compared to the general population) for lip/oropharyngeal, Kaposi, renal, lymphoma, colorectal, breast, and decreased risk (compared to the general population) for prostate.  The SIRs for neuroendocrine and melanoma were increased in SLE vs. non-SLE transplant recipients.  In contrast, the SIR for lung was decreased in SLE vs. non-SLE transplant recipients. 

Conclusion: Cancer risk in transplant recipients is high and surveillance may need to be tailored to the indication for transplant. Different methods of cancer ascertainment using physician claims data vs. tumor registries and inclusion of different SLE patient populations, restriction to those with severe SLE renal disease vs. our multinational cohort, may explain higher SIRs for cancer seen in SLE renal transplant recipients than in our previous multinational SLE cohort study evaluating cancer risk.

Table 1. SIRs for Cancer in SLE Renal Transplant Recipients vs. General Population

Cancer

Observed Cases/100,000 person-years

Expected

Cases/100,000 person-years

Standardized Incidence Ratio (SIR)

95% Confidence Interval (CI)

All Cancers

1622

466

3.5

2.1-5.7

Lip/Oropharyngeal

781

11

72.6

57.3-92.0

Kaposi

38

0.6

62.2

35.2-141.1

Neuroendocrine*

163

5

42.8

30.7-50.2

Renal

217

14

15.4

12.3-21.7

Lymphoma

293

22

13.1

9.0-14.6

Colorectal           

222

49

4.5

3.2-6.1

Melanoma

27

20

2.1

1.6-2.8

Breast

255

127

2.0

1.1-3.1

Lung

43

65

0.7

0.6-1.0

Prostate

54

163

0.7

0.01-1.0

Table 2. SIRs for Cancer in Non-SLE Renal Transplant Recipients vs. General Population

Cancer

Observed Cases/100,000 person-years

Expected

Cases/100,000 person-years

Standardized Incidence Ratio (SIR)

95% Confidence Interval (CI)

All Cancers

1739

469

4.0

2.4-5.7

Lip/Oropharyngeal

665

11

58.1

36.2-80.1

Kaposi

0.6

42

72.5

55.2-89.9

Neuroendocrine*

74

5

14.3

4.1-24.6

Renal

142

14

10.1

7.6-12.6

Lymphoma

194

22

9.0

7.4-10.5

Colorectal           

150

50

2.8

2.2-3.4

Melanoma

22

20

1.0

0.7-1.25

Breast

280

127

2.1

1.3-2.8

Lung

90

64

1.4

1.0-1.7

Prostate

65

163

0.4

0.2-0.5

* Neuroendocrine tumors include carcinoid tumors, islet cell tumors, medullary thyroid carcinoma, Merkel cell, secondary neuroendocrine,pheochromocytoma


Disclosure:

R. Ramsey-Goldman,
None;

A. Brar,
None;

M. Salifu,
None;

A. E. Clarke,
None;

R. M. Jindal,
None;

S. Bernatsky,
None.

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