Unveiling the Diversity of Immunoglobulin Heavy Constant Gamma (IGHG) Gene Segments in Brazilian Populations Reveals 28 Novel Alleles and Evidence of Gene Conversion and Natural Selection
FRONTIERS IN IMMUNOLOGY
Authors: Calonga-Solis, Veronica; Malheiros, Danielle; Beltrame, Marcia Holsbach; Vargas, Luciana de Brito; Dourado, Renata Montoro; Issler, Hellen Caroline; Wassem, Roseli; Petzl-Erler, Maria Luiza; Augusto, Danillo G.
Abstract
Even though immunoglobulins are critical for immune responses and human survival, the diversity of the immunoglobulin heavy chain gene (IGH) is poorly known and mostly characterized only by serological methods. Moreover, this genomic region is not well-covered in genomic databases and genome-wide association studies due to particularities that impose technical difficulties for its analysis. Therefore, the IGH gene has never been systematically sequenced across populations. Here, we deliver an unprecedented and comprehensive characterization of the diversity of the IGHG1, IGHG2, and IGHG3 gene segments, which encode the constant region of the most abundant circulating immunoglobulins: IgG1, IgG2, and IgG3, respectively. We used Sanger sequencing to analyze 357 individuals from seven different Brazilian populations, including five Amerindian, one Japanese-descendant and one Euro-descendant population samples. We discovered 28 novel IGHG alleles and provided evidence that some of them may have been originated by gene conversion between common alleles of different gene segments. The rate of synonymous substitutions was significantly higher than the rate of the non-synonymous substitutions for IGHG1 and IGHG2 (p = 0.01 and 0.03, respectively), consistent with purifying selection. Fay and Wu's test showed significant negative values for most populations (p < 0.001), which indicates that positive selection in an adjacent position may be shaping IGHG variation by hitchhiking of variants in the vicinity, possibly the regions that encode the Ig variable regions. This study shows that the variation in the IGH gene is largely underestimated. Therefore, exploring its nucleotide diversity in populations may provide valuable information for comprehension of its evolution, its impact on diseases and vaccine research.
High Densities of Tumor-Associated Plasma Cells Predict Improved Prognosis in Triple Negative Breast Cancer
FRONTIERS IN IMMUNOLOGY
Authors: Yeong, Joe; Lim, Jeffrey Chun Tatt; Lee, Bernett; Li, Huihua; Chia, Noel; Ong, Clara Chong Hui; Lye, Weng Kit; Putti, Thomas Choudary; Dent, Rebecca; Lim, Elaine; Thike, Aye Aye; Tan, Puay Hoon; Iqbal, Jabed
Abstract
Breast cancer is the most common malignancy affecting women, but the heterogeneity of the condition is a significant obstacle to effective treatment. Triple negative breast cancers (TNBCs) do not express HER2 or the receptors for estrogen or progesterone, and so often have a poor prognosis. Tumor-infiltrating T cells have been well-characterized in TNBC, and increased numbers are associated with better outcomes; however, the potential roles of B cells and plasma cells have been large. Here, we conducted a retrospective correlative study on the expression of B cell/plasma cell-related genes, and the abundance and localization of B cells and plasma cells within TNBCs, and clinical outcome. We analyzed 269 TNBC samples and used immunohistochemistry to quantify tumor-infiltrating B cells and plasma cells, coupled with NanoString measurement of expression of immunoglobulin metagenes. Multivariate analysis revealed that patients bearing TNBCs with above median densities of CD38(+) plasma cells had significantly better disease-free survival (DFS) (HR = 0.44; 95% CI 0.26-0.77; p = 0.004) but not overall survival (OS), after adjusting for the effects of known prognostic factors. In contrast, TNBCs with higher immunoglobulin gene expression exhibited improved prognosis (OS p = 0.029 and DFS p = 0.005). The presence of B cells and plasma cells was positively correlated (p < 0.0001, R = 0.558), while immunoglobulin gene IGKC, IGHM, and IGHG1 mRNA expression correlated specifically with the density of CD38 plasma cells (IGKC p < 0.0001,R=0.647; IGHM p < 0.0001,R=0.580; IGHG1 p < 0.0001,R=0.655). Interestingly, after adjusting the multivariate analysis for the effect of intratumoral CD38(+) plasma cell density, the expression levels of all three genes lost significant prognostic value, suggesting a biologically important role of plasma cells. Last but not least, the addition of intratumoral CD38+ plasma cell density to clinicopathological features significantly increased the prognostic value for both DFS (Delta LR chi(2) = 17.28, p = 1.71E-08) and OS (Delta LR chi(2) = 10.03, p = 6.32E-08), compared to clinicopathological features alone. The best combination was achieved by integrating intratumoral CD38 plasma cell density and IGHG1 which conferred the best added prognostic value for DFS (Delta LR chi(2) = 27.38, p = 5.22E-10) and OS (Delta LR chi(2) = 21.29, p = 1.03E-08). Our results demonstrate that the role of plasma cells in TNBC warrants further study to elucidate the relationship between their infiltration of tumors and disease recurrence.