Association of Serum Immunoglobulin Levels with Solid Cancer: A Systematic Review and Meta-analysis.

BACKGROUND

The nature of humoral immunity in carcinogenesis remains poorly understood. In this systematic review and meta-analysis, we aimed to evaluate the association of serum immunoglobulin classes with solid cancer and test our hypothesis that the immune escape of tumors is accompanied by dysregulated systemic immunoglobulin class-switching.

METHODS

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched the Cochrane Library, Embase, and MEDLINE/PubMed databases for observational studies investigating the association between serum immunoglobulins (IgA, IgG, and IgM) and histologically confirmed diagnosis of solid cancer in adults. We selected case-control studies, including more than 20 cases, and those explicitly stating that no form of anticancer treatment was administered prior to immunoglobulin measurement. No eligible cohort studies were identified. The primary summary measure was the standardized mean difference (SMD) with 95% confidence intervals (CI) calculated using a random effects model.

RESULTS

Pooling 11 eligible studies comparing serum IgA levels in 1,351 patients and 560 control subjects revealed a statistically significant SMD (1.50; 95% CI, 0.96-2.04). Nonsignificant SMDs were observed for the 14 selected studies investigating serum IgG [SMD, -0.02 (95% CI, -0.22 to 0.18)] and for the 10 studies reporting serum IgM [SMD, 0.11 (95% CI, -0.10 to 0.32)]. Substantial heterogeneity between studies was observed despite sensitivity analysis by immunoglobulin measurement method, control matching, type of cancer, stage of disease, and sequential study exclusion.

CONCLUSIONS

Serum immunoglobulin levels in patients diagnosed with solid cancer might be skewed toward class-switching to IgA, possibly reflecting Th2-polarized immunity.

IMPACT

Further combinatorial analyses of serum immunoglobulin isotypes alongside other immune parameters in databases and observational studies are warranted.