Abstract
Purpose
Lymphoproliferative disease in common variable immunodeficiency disease (CVID) is heterogeneous in pathogenesis and ranges from non-malignant lymphoid hyperplasia to lymphoma.
Methods
The United States Immunodeficiency Network (USIDNET) patient registry was queried for lymphoproliferative diseases reported in CVID patients. Diagnoses included as possible manifestations of lymphoproliferation included lymphadenopathy, lymphoid hyperplasia, lymphocytic inflammation, lymphocytosis, and gammopathy.
Results
Among 1091 CVID patients, lymphoproliferative conditions were reported in 17.2% (N = 188). These conditions included lymphadenopathy (N = 192, 12.3%), lymphoid hyperplasia or lymphocytic inflammation (N = 50, 4.6%), lymphocytosis (N = 3, 0.3%), and gammopathies (N = 3, 0.3%). Of the 188 patients with lymphoproliferative conditions, 15 (8%) also had a diagnosis of lymphoma, while the remaining 173 (92%) did not. Nine (4.8%) had a diagnosis of non-lymphomatous malignancy including basal cell carcinoma (N = 3, 1.6%), thyroid carcinoma (N = 2, 1.1%), gynecologic cancer (N = 2, 1.1%), testicular cancer (N = 1), and vocal cord carcinoma (N = 1). CVID patients with lymphoma were older than patients with lymphoproliferative disease who did not have a diagnosis of lymphoma at the time of analysis (median age 49 vs. 35 years, p = 0.005). CVID patients with lymphoproliferative disease had 2.5 times higher odds of having chronic lung disease compared with those with lymphoma (OR = 0.4, p = 0.049). There were no significant differences in the frequency of autoimmune, gastrointestinal, hepatic, or granulomatous disease between these populations.
Conclusions
While CVID patients are at increased risk for lymphoma, lymphoproliferation may be observed in the absence of a concurrent hematologic or solid tumor malignancy.
Keywords: CVID, common variable immunodeficiency, lymphoproliferation, lymphoproliferative disease, lymphoproliferative disorder, lymphoma
Introduction
Common variable immunodeficiency (CVID) is a heterogeneous group of disorders characterized by markedly reduced serum IgG with low IgA and/or IgM, as well as poor or absent specific antibody responses to immunization [1–3]. Absence of other defined immunodeficiency states or causes of hypogammaglobulinemia is an additional diagnostic criterion. CVID is the most prevalent symptomatic primary immunodeficiency disease (PIDD) in adults in the USA [4].
Although the practice of regular immunoglobulin replacement has decreased morbidity and mortality from infection in CVID patients, non-infectious comorbidities remain a significant burden on this population [5–7]. CVID patients have an inherently increased risk of lymphoproliferation ranging from non-malignant lymphoid hyperplasia to lymphoma. This lymphoproliferative disease is heterogeneous in nature with several contributing factors including impaired immunosurveillance, chronic infections, and genetic predisposition [8]. When compared with the age-matched general population, it has been shown that CVID patients have a higher incidence of lymphoma as well as leukemia, gastric cancer, and skin cancer [5, 9, 10]. Other known comorbidities of CVID include autoimmunity, interstitial lung disease, bronchiectasis, enteropathy, hepatic disease, and granulomatous disease [6, 7, 11].
The purpose of this study was to report the types and frequency of lymphoproliferative disease in CVID patients in the USIDNET registry, to report the frequency of having associated lymphoma or other malignancy occurring in association with lymphoproliferative disease, and lastly, to evaluate whether certain patient characteristics might be predictive of increased odds of having a diagnosis of lymphoma than with having lymphoproliferation alone.
Methods
The United States Immunodeficiency Network (USIDNET) registry is a multi-site registry of data from patients with primary immunodeficiency disease in the USA and Canada, formed in 2003 and funded by an NIH resource grant awarded to the Immune Deficiency Foundation. The registry was established to advance research in primary immunodeficiency disease and allows investigators to submit queries to obtain de-identified patient data for analysis.
For this study, the USIDNET registry was queried for lymphoproliferative disease as well as any other reported medical conditions, demographics, ages at diagnosis and at last data entry, immunoglobulin (Ig) levels, infections, and genetics in CVID patients enrolled in the registry as of May 30, 2018. Patients with thymoma were excluded. Patients with genetic testing supportive of a primary immunodeficiency other than CVID were excluded. Lastly, for this study, we only included patients with evidence of at least one IgA or IgM value less than 2 standard deviations (SD) below the standard laboratory mean for age (for adults, IgA < 70 mg/dL; IgM < 40 mg/dL). We did not exclude patients with normal IgG levels as patients may have been on IgG replacement therapy at the time of registry enrollment, and baseline levels were not always reported.
For data on lymphoproliferative disease, all conditions were examined individually, and diagnoses that qualified as lymphoproliferative disease were classified into the following categories as listed in Table 1: gammopathies (monoclonal gammopathy and one patient who developed multiple myeloma), lymphocytic inflammation (lung-specific including follicular bronchiolitis, lymphoid interstitial pneumonia, and pulmonary nodular lymphoid hyperplasia; gastrointestinal-specific including lymphocytic-plasmacytic colitis and nodular lymphoid hyperplasia of the intestine; or not organ-specific including lymphoid hyperplasia, autoimmune lymphoproliferative syndrome, chronic lymphocytic inflammation, and relapsing febrile nodular non-suppurative panniculitis), lymphocytosis, and lymphadenopathy. Demographics, ages at diagnosis and at most recent data entry in the registry, autoimmune disease, and additional CVID-associated conditions were compared between patients with lymphoma and patients with lymphoproliferative disease without lymphoma. Specifically, autoimmune conditions that were compared between the two cohorts included autoimmune cytopenias (immune thrombocytopenia, autoimmune hemolytic anemia, autoimmune neutropenia, and Evans syndrome), systemic autoimmune conditions (rheumatoid arthritis, systemic lupus erythematosus, vasculitis, and others including mixed connective tissue disease, spondyloarthropathies, juvenile arthritis, dermatomyositis, and inflammatory polyarthropathies), and organ-specific autoimmune conditions (integumentary, including psoriasis, vitiligo, lichen planus, and alopecia areata; enteropathic, including autoimmune enteritis or celiac disease; autoimmune hepatitis; endocrine, including type 1 diabetes mellitus, thyroiditis; and ocular, including uveitis and iritis). Additional CVID-associated conditions that were compared between the two cohorts were categorized, as detailed in Table 3. Of note, it is unknown whether the diagnosis of CVID preceded or followed other diagnoses (including lymphoproliferation and lymphoma) in these patients.
Table 1.
Lymphoproliferative disease | N (%) |
---|---|
Any lymphoproliferative disease | 188 (17.2) |
Gammopathies | 3 (0.3) |
Multiple myeloma | 2 (0.2) |
Monoclonal gammopathy | 1 |
Lymphocytic inflammation | 50 (4.6) |
Organ-specific: lung | 23 (2.1) |
Organ-specific: gastrointestinal | 14 (1.3) |
Not organ-specific | 18 (1.6) |
Lymphocytosis | 3 (0.3) |
Lymphadenopathy | 150 (13.7) |
Lymphoma | N (%) |
Any lymphoid neoplasm | 45 (4.1) |
Hodgkin lymphoma | 5 (11.1) |
Mature B cell lymphoid neoplasm | 11 (24.4) |
Mature T cell lymphoid neoplasm | 2 (4.4) |
Lymphoid neoplasm NOS | 28 (62.2) |
NOS not otherwise specified
Diagnoses are presented as reported by contributors to the USIDNET registry. Of note, some patients were reported to have multiple lymphoproliferative conditions and one patient was reported to have both Hodgkin and non-Hodgkin lymphoma
Table 3.
CVID cohort (N = 1091) N (%) | +Lymphoma (N = 45) N (%) | +LPD −Lymphoma (N = 173) N (%) | OR | 95% CI | p* | |
---|---|---|---|---|---|---|
Any autoimmune condition | 268 (24.6) | 14 (31.1) | 61 (35.3) | 0.8 | (0.4–1.7) | 0.602 |
Autoimmune cytopeniab | 98 (9) | 5(11.1) | 35 (20.2) | 0.5 | (0.2–1.3) | 0.166 |
Systemic autoimmunityc | 64 (5.9) | 4 (8.9) | 8 (4.6) | 2 | (0.6–7.0) | 0.272 |
Organ-specific conditionsd | 143 (13.1) | 6 (13.3) | 26 (15) | 0.9 | (0.3–2.3) | 0.775 |
Other CVID-associated conditions | 143 (13.1) | 6 (13.3) | 26 (15) | 0.9 | (0.3–2.3) | 0.775 |
Chronic lung disease | 257 (16.4) | 7 (15.6) | 53 (30.6) | 0.4 | (0.2–1.0) | 0.049 |
Interstitial lung disease | 58 (5.3) | 3 (6.7) | 32 (18.5) | 0.3 | (0.1–1.1) | 0.066 |
Bronchiectasis | 148 (13.6) | 4 (8.9) | 33 (19.1) | 0.4 | (0.1–1.2) | 0.114 |
Gastrointestinal disease | 20 (1.8) | 2 (4.4) | 5 (2.9) | 1.6 | (0.3–8.3) | 0.601 |
Enteropathy | 7 (0.6) | 1 | 3 (1.7) | 1.3 | (0.1–12.7) | 0.828 |
IBD | 13 (1.2) | 1 | 2 (1.2) | 1.9 | (0.2–21.9) | 0.591 |
Hepatic diseasee | 17 (1.6) | 1 | 9 (5.2) | 0.4 | (0.1–3.4) | 0.409 |
Granulomatous disease | 11 (1.0) | 0 | 7 (4.0) | n/a | n/a | n/a |
Leukemia | 7 (0.6) | 0 | 0 | n/a | n/a | n/a |
CVID Cohort all patients included in the study, +Lymphoma CVID patients with lymphoma, +LPD −Lymphoma CVID patients with lymphoproliferative disease, but not lymphoma, OR odds ratio, CI confidence interval, NOS not otherwise specified, IBD inflammatory bowel disease, n/a p value cannot be calculated with at least one of the values being zero
Diagnoses are presented as reported by contributors to the USIDNET registry
Diagnoses include immune thrombocytopenia alone, autoimmune hemolytic anemia alone, and Evans syndrome; there were no patients with autoimmune neutropenia
Diagnoses include rheumatoid arthritis, systemic lupus erythematosus, vasculitis, and others including mixed connective tissue disease, spondyloarthropathies, juvenile arthritis, dermatomyositis, and inflammatory polyarthropathies
Diagnoses include psoriasis, vitiligo, lichen planus, alopecia areata, autoimmune enteritis or celiac disease, autoimmune hepatitis, type 1 diabetes mellitus, thyroiditis, uveitis, and iritis
Diagnoses include nodular regenerative hyperplasia of the liver, autoimmune hepatitis, granulomatous hepatitis, hepatomegaly, and liver function abnormalities
p value was determined using chi-square calculation (categorical variables) and Student’s t test (continuous variables)
Patients with lymphoproliferative disease had a significantly higher reported frequency of chronic lung disease than patients with lymphoma (p = 0.049)
Statistical Analysis
The demographics of patients with lymphoma were compared with those of patients with lymphoproliferative disease excluding lymphoma using “N-1” chi-squared test for categorical variables (MedCalc ® Software © 2017) and two-tailed, heteroscedastic t test for continuous variables (Microsoft ® Excel for Mac © 2018). The frequency of autoimmune disease and other CVID-associated conditions were compared between these two populations using the odds ratio with mid-P calculation (MedCalc ® Software © 2017) [12].
Results
In total, 1565 patients with a diagnosis of CVID were registered in the USIDNET Registry as of May 30, 2018. Nine with a diagnosis of thymoma and 11 with genetic testing supportive of PIDD other than CVID or genes with known increased susceptibility to oncologic/autoimmune disease were excluded. Specifically, 11 patients were excluded for the following gene mutations: TRNT1, UNG deficiency, TNFRSF5, DEL22q11.2, duplication of 22q11.2, BTK, CREBBP, IFIH1, ARTEMIS, RAD50, and AIRE. Another 454 subjects were excluded as they were without at least one IgM or IgA value < 2 SD below standard laboratory mean. After these exclusions, the analysis included 1091 patients.
Lymphoproliferative Disease in CVID
Of the 1091 CVID patients in this study, 188 (17.2%) had at least one diagnosis of lymphoproliferative disease (Table 1). The most commonly reported condition was lymphadenopathy (N = 150; 13.7%), followed by lymphocytic inflammation (N = 50; 4.6%), lymphocytosis (N = 3; 0.3%), and gammopathy (N = 3; 0.3%). Of those with lymphocytic inflammation, 23 (2.1%) had conditions that were lung-specific, 14 (1.3%) had conditions that were gastrointestinal-specific, and 18 (1.6%) had conditions that were not organ-specific. None of the patients was reported to have EBV infection.
Lymphoproliferative Disease and Cancer in CVID
Of the 188 CVID patients with lymphoproliferative disease, 15 (8.0%) also had a diagnosis of lymphoma, while 173 (92.0%) did not have a diagnosis of lymphoma reported at the time of analysis. Nine (4.8%) were diagnosed with solid tumors, including basal cell carcinoma (N = 3, 1.6%), thyroid cancer (N = 2, 1.1%), gynecologic cancer (N = 2, 1.1%), testicular cancer (N = 1), and vocal cord carcinoma (N = 1).
Lymphoma in CVID
Of the total of 1091 patients with CVID included in this study, 45 (4.1%) carried a diagnosis of lymphoma (Table 1). Most commonly, the specific type of lymphoid neoplasm was not specified (N = 28; 62.2%). Based on the WHO classification of lymphoid neoplasms [13], 11 (24.4%) had a mature B cell neoplasm, 5 (11.1%) had Hodgkin lymphoma, and 2 (4.4%) had a mature T cell neoplasm. One patient was reported to have both Hodgkin lymphoma and non-Hodgkin lymphoma. There were 7 (0.6%) CVID patients in the study without lymphoma or lymphoproliferative disease who had a diagnosis of leukemia. CVID patients with lymphoproliferative disease had 2.5 times increased odds of having a diagnosis of lymphoma than CVID patients without lymphoproliferative disease were (p = 0.005).
Comparison of CVID Patients with Lymphoma and Those with Lymphoproliferative Disease
There were no significant differences in race (p = 0.139, p = 0.396, and p = 0.685) or ethnicity (p = 0.828, p = 0.448 and p = 0.479) between CVID patients with lymphoma and those with lymphoproliferative disease without lymphoma (Table 2). For both cohorts, the majority of patients were Caucasian and non-Hispanic. There were more males in the lymphoma cohort (N = 24, 53.3%) and more females in the lymphoproliferative disease cohort (N = 89, 51.4%); this difference was not statistically significant (p = 0.569). However, patients with lymphoma had a significantly higher age at CVID diagnosis (median age 33 years) and age at last entry (median age of 49 years) compared with those with lymphoproliferative disease without lymphoma (median age of 26 years and 35 years, respectively; p = 0.005 and p < 0.001, respectively.)
Table 2.
CVID cohort (N = 1091) | +Lymphoma (N = 45) | +LPD −lymphoma (N = 173) | p* | ||
---|---|---|---|---|---|
Gender, N (%) | Male | 483 (44.3) | 24 (53.3) | 84 (48.6) | 0.569 |
Female | 608 (55.7) | 21 (46.7) | 89 (51.4) | 0.569 | |
Race, N (%) | Caucasian | 923 (84.6) | 40 (88.9) | 137 (79.2) | 0.139 |
African American | 28 (2.6) | 1 | 9 (5.2) | 0.396 | |
American Indian | 3 (0.3) | 0 | 1 | n/a | |
Asian | 6 (0.5) | 0 | 3 (1.7) | n/a | |
Other or multiracial | 18 (1.6) | 0 | 4 (2.3) | n/a | |
Not reported | 113 (10.4) | 4 (8.9) | 19 (11.0) | 0.685 | |
Ethnicity, N (%) | Hispanic | 28 (2.6) | 1 | 3 (1.7) | 0.828 |
Not Hispanic | 619 (56.7) | 28 (62.2) | 118 (68.2) | 0.448 | |
Not reported | 444 (40.7) | 16 (35.6) | 52 (30.1) | 0.479 | |
Age in years | Age of diagnosis | 28 (11–44) | 33 (24–48) | 26 (13–40) | 0.005 |
Median (IQR) | Age at last entry | 38 (19–54) | 49 (42–61) | 35 (22–50) | < 0.001 |
CVID Cohort all patients included in the study, +Lymphoma CVID patients with lymphoma, +LPD −Lymphoma CVID patients with lymphoproliferative disease, but not lymphoma, n/a p value cannot be calculated with at least one of the values being zero
p value was determined using chi-square calculation (categorical variables) and Student’s t test (continuous variables)
Patients with lymphoma had a significantly higher age of diagnosis and age at last entry than patients with lymphoproliferative disease (p = 0.005 and p < 0.001, respectively)
Autoimmune disease was reported in 14 (31.1%) of the 45 patients with lymphoma and in 61 (35.3%) of the 173 patients with lymphoproliferative disease (Table 3). There was no significant difference between the overall frequency of autoimmune disease between these two cohorts (p = 0.602), or of specific subtypes of autoimmune disease including autoimmune cytopenia (p = 1.66), systemic autoimmune conditions (p = 0.272), or organ-specific autoimmune conditions (p = 0.775).
When comparing additional CVID-associated comorbidities between patients with lymphoma and patients with lymphoproliferative disease, frequency of chronic lung disease was significantly higher in those with lymphoproliferative disease without lymphoma compared with those with lymphoma (p = 0.485) (Table 3). There were no significant differences in the reported frequency of enteropathy (p = 0.828), irritable bowel disease (p = 0.591), and hepatic disease (p = 0.409) between these two populations. Granulomatous disease was reported in 7 (4%) patients with lymphoproliferative disease, but was not in patients with lymphoma.
Genetic Testing
There were 50 CVID patients with genetic testing reported (Table 4). The most commonly reported gene mutation was TNFRSF13B (N = 27), followed by NFKB2 (N = 5), CD19 (N = 3), TNFSF12 (N = 2), and PIK3CD (N = 2). Of these CVID patients with genetic testing, 2 had lymphoma (each with mutations in TNFRSF13B) and 13 had lymphoproliferative disease (8 with mutations in TNFRSF13B, and the remaining mutations in NFKB2, PIK3CD, CTLA4, HLA-DQ, and SMC3.)
Table 4.
Gene | Total (N = 50) | +Lymphoma (N = 2) | +LPD −Lymphoma (N = 13) |
---|---|---|---|
TNFRSF13B (TACI) | 27 | 2 | 8 |
NFKB2 | 5 | 0 | 1 |
CD19 | 3 | 0 | 0 |
TNFSF12 (TWEAK) | 2 | 0 | 0 |
PIK3CD | 2 | 0 | 1 |
NFKB1 | 1 | 0 | 1 |
CR2 (CD21) | 1 | 0 | 0 |
ICOS | 1 | 0 | 0 |
TLR9 | 1 | 0 | 0 |
IRF2BP2 | 1 | 0 | 0 |
CD86 | 1 | 0 | 0 |
HLA-DQ | 1 | 0 | 0 |
CTLA4 | 1 | 0 | 1 |
F5 (factor V Leiden) | 1 | 0 | 0 |
SMC3 | 1 | 0 | 1 |
IFT140 | 1 | 0 | 0 |
Total all CVID patients included in the study that were found to have a genetic mutation, +Lymphoma CVID patients with lymphoma, +LPD −Lymphoma CVID patients with lymphoproliferative disease, but not lymphoma, TACI transmembrane activator and calcium-modulating cyclophilin ligand, TWEAK cytokine tumor necrosis factor-like weak inducer of apoptosis, CD21 human complement receptor type 2
Gene mutations are presented as reported by contributors to the USIDNET registry
Discussion
Lymphoproliferative disease was reported in 17.2% of the 1091 CVID patients included in this study (Table 1). Although it has been shown that the prevalence of CVID-associated complications including lymphoproliferative disease varies among countries [6], lymphoid hyperplasia and splenomegaly are typically found in at least 20% of CVID patients [14]. The EUROclass trial reported lymphadenopathy in 26.2% and splenomegaly in 40.5% of 303 CVID patients studied [15].
A US-based study of 473 CVID patients found that lymphoma (N = 39; 8.2%) was the second most common cause of mortality in CVID, after chronic lung disease (N = 135; 28.5%) [7]. It has also been shown that of the patients carrying a diagnosis of CVID in the USIDNET, there was a higher incidence rate of lymphoma compared with the age-matched general population [9]. Of the 1091 CVID patients included in our study, lymphoma was reported in 4% (N = 45) (Table 1). These findings are consistent with those of previous studies showing that lymphoma occurs in an estimated 2–8% of CVID patients [11] and that the majority are non-Hodgkin [16]. Of the 188 CVID patients with lymphoproliferative conditions, lymphoma was reported in 8% (N = 15). These patients were significantly more likely to have a diagnosis of lymphoma compared with CVID patients without other lymphoproliferative conditions (OR = 2.5; p = 0.005).
When comparing CVID patients with lymphoma to CVID patients with other lymphoproliferative conditions, we found that patients with lymphoma had a significantly higher age at CVID diagnosis and age at last registry entry (p = 0.005 and p < 0.001, respectively.) These findings are consistent with previous studies that have shown CVID patients with older age of onset more often had lymphoma [17]. There was a significantly higher frequency of chronic lung disease in patients with lymphoproliferative disease (N = 53) when compared with patients with lymphoma (N = 3); this appears to be due to lymphoproliferative disease frequently manifesting in the lung on this cohort of patients, with 23 of 188 patients with lymphoproliferation reporting lung-specific lymphoproliferative conditions.
There was no significant difference in the frequency of autoimmune disease, gastrointestinal disease, and hepatic disease among CVID patients with lymphoma compared with those with other lymphoproliferative conditions without lymphoma (Table 3). Of these known CVID-associated complications, autoimmune disease was most commonly reported, occurring in 25% (N = 268) of CVID patients included in this study. This is comparable to previous studies showing autoimmunity in 25–30% of CVID patients [1, 5, 7, 14].
Of the 50 CVID patients with genetic testing included in our study, there were 15 mutated genes identified (Table 4). Of the mutated genes identified in this study, those that have been associated with monogenic CVID include TNFRSF13B, NFKB2, CD19, TNFSF12 (TWEAK), PIK3CD, NFKB1, CR2 (CD21), ICOS, IRF2BP2, and CTLA4 [18]. Certain HLA haplotypes, including HLA-DQ/DR, have also been associated with susceptibility to CVID as modifier genes [18–20]. The remaining mutated genes reported in this study (MTHFR, F5 (factor 5 Leiden), SMC3) are not associated with CVID to our knowledge and may represent incidental findings.
Limitations of our study include the exclusion of patients who did not have Ig levels reported in the registry. It is possible that the resulting decrease in N limited our ability to detect differences between the patients with lymphoma and those with lymphoproliferative disease. Additionally, as this was a registry-based study, there is no consensus on diagnostic criteria for the condition of lymphoma or other lymphoproliferative disease. Although we were able to report the age of CVID diagnosis for most patients in this study, we did not have data on age of disease onset, delay in diagnosis, and which co-morbidities were present at the time of CVID diagnosis vs. at follow-up.
In conclusion, while CVID patients are at increased risk for certain cancers compared to the age-matched population, lymphoproliferative disease may be appreciated in this population in the absence of concurrent hematologic or solid tumor malignancy. Those with lymphoma had older age at time of CVID diagnosis and at time of last registry entry, compared with those with lymphoproliferation without lymphoma. There were otherwise no significant differences between CVID patients with lymphoproliferative disease and those with lymphoma. Future studies are needed to further assess if it is phenotypically or genetically possible to identify which CVID patients with lymphoproliferative disease may be at an increased lifetime risk of developing hematologic or solid tumor malignancy and thus warrant closer monitoring.
Acknowledgments
We acknowledge Hannah Wright (USIDNET Registry Manager) and Marla Goldsmith (Former USIDNET Registry Manager) for their expertise in registry data management and for their assistance in obtaining and analyzing registry data.
Abbreviations
- CVID
Common variable immunodeficiency
- Ig
Immunoglobulin
- PIDD
Primary immunodeficiency disease
- SD
Standard deviation
- TACI
Transmembrane activator and calcium-modulating cyclophilin ligand interactor
- USIDNET
United States Immunodeficiency Network
Footnotes
Conflict of Interest The authors declare that they have no conflict of interest.
References
- 1.Bonilla FA, Barlan I, Chapel H, Costa-Carvalho BT, Cunningham-Rundles C, de la Morena MT, et al. International consensus document (ICON): common variable immunodeficiency disorders. J Allergy Clin Immunol Pract. 2016;4(1):38–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Conley ME, Notarangelo LD, Etzioni A. Diagnostic criteria for primary immunodeficiencies. Representing PAGID (Pan-American Group for Immunodeficiency) and ESID (European Society for Immunodeficiencies). Clin Immunol. 1999;93(3):190–7. [DOI] [PubMed] [Google Scholar]
- 3.Notarangelo LD, Fischer A, Geha RS, Casanova JL, Chapel H, Conley ME, et al. Primary immunodeficiencies: 2009 update. J Allergy Clin Immunol. 2009;124:1161–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Boyle JM, Buckley RH. Population prevalence of diagnosed primary immunodeficiency diseases in the United States. J Clin Immunol. 2007;27(5):497–502. [DOI] [PubMed] [Google Scholar]
- 5.Quinti I, Soresina A, Sparado G, et al. Long-term follow-up and outcome of a large cohort of patients with common variable immunodeficiency. J Clin Immunol. 2007;27:308–16. [DOI] [PubMed] [Google Scholar]
- 6.Chapel H, Lucas M, Lee M, Bjorkander J, Webster D, Grimbacher B, et al. Common variable immunodeficiency disorders: division into distinct clinical phenotypes. Blood. 2008;112:277–86. [DOI] [PubMed] [Google Scholar]
- 7.Resnick ES, Moshier EL, Godbold JH, Cunningham-Rundles C. Morbidity and mortality in common variable immune deficiency over 4 decades. Blood. 2012;119(7):1650–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Gangemi S, Allegra A, Musolino C. Lymphoproliferative disease and cancer among patients with common variable immunodeficiency. Leuk Res. 2015;39:389–39. [DOI] [PubMed] [Google Scholar]
- 9.Mayor PC, Eng KH, Singel KL, Abrams SI, Odunsi K, Moysich KB, et al. Cancer in primary immunodeficiency disease: cancer incidence in the United States immune deficiency network registry. J Allergy Clin Immunol. 2018;141(3):1028–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Vajdic CM, Mao L, van Leeuwen MT, Kirkpatrick P, Grulich AE, Riminton S. Are antibody deficiency disorders associated with a narrower range of cancers than other forms of immunodeficiency? Blood. 2010;116:1228–34. [DOI] [PubMed] [Google Scholar]
- 11.Chapel H, Cunningham-Rundles C. Update in understanding common variable immunodeficiency disorders (CVIDs) and the management of patients with these conditions. Br J Haematol. 2009;145(6):709–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Feuille EJ, Anooshiravani N, Sullivan KE, Fuleihan RL, Cunningham-Rundles C. Autoimmune cytopenias and associated conditions in CVID: a report from the USIDNET registry. J Clin Immunol. 2018;38(1):28–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Swerdlow SH, Campo E, Pileri SA, Harris NL, Stein H, Siebert R, et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood. 2016;127(20):2375–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Cunningham-Rundles C How I treat common variable immune deficiency. Blood. 2010;116:7–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wehr C, Kivioja T, Schmitt C, Ferry B, Witte T, Eren E, et al. The EUROclass trial: defining subgroups in common variable immunodeficiency. Blood. 2008;111(1):77–85. [DOI] [PubMed] [Google Scholar]
- 16.Gompels MM, Hodges E, Lock RJ, Angus B, White H, Larkin A, et al. Lymphoproliferative disease in antibody deficiency: a multi-center study. Clin Exp Immunol. 2003;134(2):314–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Gathmann B, Mahlaoui N, Gerard L, et al. Clinical picture and treatment of 2212 patients with common variable immunodeficiency. J Allergy Clin Immunol. 2014;134(1):116–26. [DOI] [PubMed] [Google Scholar]
- 18.Bogaert DJA, Dullaers M, Lambrecht BN, Vermaelen KY, de Baere E, Haerynck F. Genes associated with common variable immuno-deficiency: one diagnosis to rule them all? J Med Genet. 2016;53: 575–90. [DOI] [PubMed] [Google Scholar]
- 19.Orange JS, Glessner JT, Resnick E, Sullivan KE, Lucas M, Ferry B, et al. Genome-wide association identifies diverse causes of common variable immunodeficiency. J Allergy Clin Immunol. 2011;127:1360. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kralovicova J, LHammarström L, Alessandro Plebani A, et al. Fine-scale mapping at IGAD1 and genome-wide genetic linkage analysis implicate HLA-DQ/DR as a major susceptibility locus in selective IgA deficiency and common variable immunodeficiency. J Immunol. 2003;170(5):2765–75. [DOI] [PubMed] [Google Scholar]