Expression Levels of 4 Genes in Colon Tissue Might Be Used to Predict Which Patients Will Enter Endoscopic Remission After Vedolizumab Therapy for Inflammatory Bowel Diseases
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
Authors: Verstockt, Bram; Verstockt, Sare; Veny, Marisol; Dehairs, Jonas; Arnauts, Kaline; Van Assche, Gert; De Hertogh, Gert; Vermeire, Severine; Salas, Azucena; Ferrante, Marc
Abstract
BACKGROUND & AIMS: We aimed to identify biomarkers that might be used to predict responses of patients with inflammatory bowel diseases (IBD) to vedolizumab therapy. METHODS: We obtained biopsies from inflamed colon of patients with IBD who began treatment with vedolizumab (n = 31) or tumor necrosis factor (TNF) antagonists (n = 20) and performed RNA-sequencing analyses. We compared gene expression patterns between patients who did and did not enter endoscopic remission (absence of ulcerations at month 6 for patients with Crohn's disease or Mayo endoscopic subscore <= 1at week 14 for patients with ulcerative colitis) and performed pathway analysis and cell deconvolution for training (n = 20) and validation (n = 11) datasets. Colon biopsies were also analyzed by immunohistochemistry. We validated a baseline gene expression pattern associated with endoscopic remission after vedolizumab therapy using 3 independent datasets (n = 66). RESULTS: We identified significant differences in expression levels of 44 genes between patients who entered remission after vedolizumab and those who did not; we found significant increases in leukocyte migration in colon tissues from patients who did not enter remission (P < .006). Deconvolution methods identified a significant enrichment of monocytes (P = .005), M1-macrophages (P = .05), and CD4+ T cells (P = .008) in colon tissues from patients who did not enter remission, whereas colon tissues from patients in remission had higher numbers of naive B cells before treatment (P = .05). Baseline expression levels of PIWIL1, MAATS1, RGS13, and DCHS2 identified patients who did vs did not enter remission with 80% accuracy in the training set and 100% accuracy in validation dataset 1. We validated these findings in the 3 independent datasets by microarray, RNA sequencing and quantitative PCR analysis (P = .003). Expression levels of these 4 genes did not associate with response to anti-TNF agents. We confirmed the presence of proteins encoded by mRNAs using immunohistochemistry. CONCLUSIONS: We identified 4 genes whose baseline expression levels in colon tissues of patients with IBD associate with endoscopic remission after vedolizumab, but not anti-TNF, treatment. We validated this signature in 4 independent datasets and also at the protein level. Studies of these genes might provide insights into the mechanisms of action of vedolizumab.
RGS expression in cancer: oncomining the cancer microarray data
JOURNAL OF RECEPTORS AND SIGNAL TRANSDUCTION
Authors: Sethakorn, Nan; Dulin, Nickolai O.
Abstract
Heterotrimeric G proteins mediate myriads of cell functions including control of cancer cell proliferation and migration. The family of the Regulators of G protein Signaling (RGS) proteins, in turn, controls the activity of G proteins through the acceleration of GTPase activity of the alpha subunits of G proteins. Increasing evidence suggest that the expression of certain RGS proteins is changed dramatically in various cancers, and in some instances, the control of cancer cell proliferation or migration by RGS proteins has been demonstrated. We assessed if common trends might exist in the expression of various RGS proteins in several types of cancer by examining microarray data using the Oncomine database. We focused on the largest R4 subfamily of RGS proteins, containing RGS1, RGS2, RGS3, RGS4, RGS5, RGS8, RGS13, RGS16 and RGS18. This analysis suggests that a number (up to 6) of RGS transcripts are exclusively downregulated in certain cancers, while being exclusively upregulated in other cancer types. Furthermore, significant changes in the expression of certain RGS proteins trended toward the same direction across various cancers. To illustrate, RGS1 is largely upregulated, whereas RGS2 is downregulated in the majority of solid tumors, whereas RGS5 transcripts are greatly increased in eight subtypes of lymphoma with no reports of downregulation in hematological malignancies. Together, these data suggest that (i) RGS proteins may have a combined and cell-specific role in a control of cancer cell function, and (ii) a given RGS protein may regulate the progression of various cancers through a common mechanism.