Abstract Background Gastric diffuse large B‐cell lymphoma (DLBCL) is often associated with Helicobacter pylori (H. pylori) infection. Those in the early stage could be treated with H. pylori eradication therapy, and are classified into a sensitive group and a resistant group. Methods Genome‐wide miRNA and miRNA expression profiles were obtained from biopsy specimens of gastric DLBCL. MiRNAs and their targets as predictors of responses to H. pylori eradication therapy were identified through differential expression and pathway enrichment analysis, and further confirmed with transfection experiments in lymphoma cell lines of B‐cell origin. Results Genome‐wide miRNA and mRNA profiles showed miR‐200 was associated with the sensitive group, and that the resistant group had higher levels of miR‐155 and lower levels of DEPTOR (an inhibitor of mTOR) than the sensitive group. BJAB cells transfected with miR‐155 also had lower DEPTOR and higher mTOR levels. Therefore, miR‐155‐mediated inhibition of DEPTOR with secondary activation of mTOR was a potential marker for resistance to H. pylori eradication therapy. In contrast, pathway enrichment analysis showed that Toll‐like receptor 5 (TLR5), the receptor for bacterial flagellin, was a potential marker for sensitivity to H. pylori eradication therapy. In an independent series, stronger expression of pS6K1 (a direct target of mTOR) was associated with the resistant group and morphologic evidence of active gastritis was associated with the sensitive group. Conclusions These findings showed that activation of the miR‐155‐DEPTOR pathway is a marker for resistance to H. pylori eradication therapy, and that histological evaluation of active gastritis might be used as a surrogate marker to predict responses to H. pylori eradication therapy in gastric DLBCL. Keywords: gastric lymphoma, H. pylori, miR‐155, mTOR, TLR5 __________________________________________________________________ The miR‐155‐DEPTOR‐mTOR pathway induced resistance to H. pylori eradication therapy in gastric DLBCL. TLR5, the receptor for bacterial flagellin, was associated with sensitivity to H. pylori eradication therapy in gastric DLBCL. The presence of active gastritis and pS6K1 are surrogate markers for TLR5 and mTOR, respectively. graphic file with name CAM4-11-555-g002.jpg 1. INTRODUCTION Primary non‐Hodgkin lymphomas of the stomach include indolent MALT (mucosa‐associated lymphoid tissue) lymphoma and aggressive diffuse large B‐cell lymphoma (DLBCL).[30] ^1 Both gastric MALT lymphomas and DLBCLs are often associated with Helicobacter pylori (H. pylori) infection.[31] ^2 , [32]^3 Early stage gastric MALT lymphoma has been treated with H. pylori eradication therapy, and more recently, some of the early stage gastric DLBCLs were also shown to be responsive to H. pylori eradication therapy.[33] ^4 However, data on the molecular features that may be used to predict sensitivity or resistance to H. pylori eradication therapy are still limited. The mammalian target of rapamycin (mTOR) is a serine/threonine kinase that regulates cell growth and metabolism. Normally, mTOR is a component of a multi‐protein mTOR complex 1 (mTORC1) or complex 2 (mTORC2). RAPTOR in mTORC1 and RICTOR in mTORC2 may inhibit mTOR.[34] ^5 , [35]^6 In addition, DEPTOR, a regulatory protein found in both mTORC1 and mTORC2, also inhibits mTOR and prevents mTOR from activation. mTOR may be activated directly through stimulation of the PI3K/AKT pathway or indirectly through inactivation of DEPTOR. In turn, the PIK3/AKT/mTOR pathway is regulated by microRNAs. For example, miR‐155 may inhibit PIK3R1 (p85α), a negative regulator of the PI3K‐AKT pathway in nodal DLBCLs.[36] ^7 Similarly, miR‐142‐3p may inhibit RICTOR with secondary activation of mTOR in nasal NK‐cell lymphomas.[37] ^8 Because mTOR may induce cellular growth and proliferation,[38] ^9 mTOR inhibitors have been used therapeutically in the treatments of lymphoma,[39] ^10 , [40]^11 , [41]^12 and mTOR regulatory miRNAs may have potential therapeutic applications. Toll‐like receptors (TLRs) are pattern recognition receptors that recognize conserved molecular patterns shared by pathogens. There are 10 TLRs in humans, TLRs 1, 2, 4, 5, 6, and 10 are membrane receptors for bacterial encoded proteins or lipids, and TLRs 3, 7, 8, and 9 are found in intracellular vesicles for nucleic acids. The receptors are key players in innate immune system,[42] ^13 including the inflammatory responses in H. pylori infection.[43] ^14 In addition, TLRs are involved in the pathogenesis of B‐cell lymphomas and H. pylori‐associated gastric malignancies.[44] ^15 , [45]^16 , [46]^17 Biologic markers that can be used to identify early stage gastric DLBCLs for H. pylori eradication therapy are clinically significant. In the present study, genome‐wide miRNA profiles showed miR‐155 as a marker for resistance to H. pylori eradication therapy. Furthermore, a wet lab approach plus mRNA profiles identified miR‐155‐activated mTOR pathway as a maker for resistance and a dry lab approach identified miR‐155‐centered expression of TLR5 as a marker for sensitivity. Finally, active gastritis and phosphorylated S6K1 were shown to be surrogate markers for TLR5 and mTOR, respectively, in a prospective series of early gastric DLBCLs treated with H. pylori eradication therapy. 2. MATERIALS AND METHODS 2.1. Tissue samples and clinical data Stage I/II gastric DLBCLs treated with H. pylori eradication therapy were used in the present study, including 17 cases from a retrospective study and 44 cases from a prospective study (Table [47]1). TABLE 1. Clinical features of stage IE/IIE1 gastric diffuse large B‐cell lymphomas treated with first‐line H. pylori eradication therapy Clinical characteristics Response to H. pylori eradication therapy p [48]^* Total number (n = 44) Complete remission (n = 21) Non‐complete remission (n = 23) Age (median, range, years) 67 (24–100) 57.5 (34–89) 70 (24–100) 0.397[49] ^# Gender Women 25 (56.8%) 10 (47.6%) 15 (65.2%) 0.239[50] ^§ Men 19 (43.2%) 11 (52.4%) 8 (34.8%) Endoscopic features, n (%) Ulceration or ulcerated mass 36 (81.8%) 15 (71.4%) 21 (91.3%) 0.088[51] ^§ Erosions on giant nodular folds or multiple nodular lesions 8 (18.2%) 6 (28.6%) 2 (8.7%) Location of tumor (s), n (%) Proximal[52] ^a or ≥2 components 15 (34.1%) 4 (19.0%) 11 (47.8%) 0.044[53] ^§ Distal[54] ^b 29 (65.9%) 17 (81.0%) 12 (52.2%) Stage IE 32 (74.4%) 15 (75.0%) 17 (73.9%) 0.935[55] ^§ IIE1 11 (25.6%) 5 (25.0%) 6 (21.6%) IPI score 0 15 (34.1%) 10 (47.6%) 5 (21.7%) 0.10[56] ^§ 1 27 (61.4%) 11 (52.4%) 16 (69.6%) 2 2 (4.5%) 0 (0%) 2 (8.7%) [57]Open in a new tab ^^a Proximal: Middle body, upper body, fundus, or cardia. ^^b Distal: Antrum, angle, or lower body. ^* P: comparison of discrete variables between complete remission cases and non‐complete remission cases. ^# P values (two‐sided) were calculated using the Student's t‐test. ^§ P values (two sided) were calculated using the chi‐squared test or the Fisher’s exact test. Between January 2003 and December 2017, patients with stage IE/IIE1 H. pylori‐positive gastric DLBCL were treated with first‐line H. pylori eradication therapy, such as 500 mg of amoxicillin four times daily (or 1000 mg of amoxicillin administered twice a day), 500 mg of clarithromycin twice daily, and 20 mg of omeprazole or 30 mg of lansoprazole twice daily for 2 weeks. At the time of initial diagnosis, six biopsy specimens from the lymphomas were taken. Formalin‐fixed paraffin‐embedded tissue blocks were used for pathologic evaluations. Sections with extensive infiltrations of diffuse large lymphoma cells were used for the expression studies. The diagnosis of DLBCL was based on the criteria of WHO classification. Lymphoma cells could manifest as clusters, confluent aggregates, or sheets of large cells. All patients received initial staging workups, including the assessment of ECOG performance status, a physical examination of Waldeyer's ring, a detailed history, evaluation of hemogram and lactate dehydrogenase, examination of computed tomographic scan of the neck, chest, abdomen and pelvis, bone marrow assessment, or fluorine‐18 fluorodeoxyglucose positron emission examination. Endoscopic findings, such as ulceration, ulcerated mass, erosions on giant nodular folds, or nodularity, and the locations, such as cardia, body, and antrum of DLBCL in the stomach were recorded. The staging and classification of lesions were based on the Musshoff modification of the Ann Arbor staging system. All patients underwent follow‐up upper gastrointestinal endoscopic examination 4–6 weeks after completion of H. pylori eradication therapy, which was repeated every 8–12 weeks until complete remission. The sensitive group achieved complete remission at a median time of 2 months. The resistant group had residual, stable, or progressive diseases. For patients without complete remission or without partial remission via endoscopic or computed tomographic scan examination during follow‐up after completing H. pylori eradication therapy, we immediately administrated rituximab plus chemotherapy or chemotherapy for these patients to avoid rapid progression of DLBCL. 2.2. Genome‐wide miRNA profiles in gastric diffuse large B‐cell lymphomas A series of nine H. pylori eradication therapy‐sensitive and eight H. pylori eradication therapy‐resistant gastric DLBCLs was used. RNAs were extracted from sections of the biopsy specimen taken at the time of initial diagnosis. Sections of the specimens showed more than 90% atypical lymphoid infiltrates. A custom‐designed nCounter Custom CodeSet of 654 miRNAs, submitted to NCBI as GEO [58]GPL18086 and the nCounter miRNA Expression Analysis System (NanoString Technologies) were used.[59] ^18 , [60]^19 , [61]^20 Data [62]S1 were submitted as GEO Super‐series [63]GSE182362. 2.3. BJAB and U2932 cell lines and transfection BJAB and U2932 cells derived from B‐cell lymphomas were obtained from Bioresource Collection and Research Center (BCRC, Hsinchu, Taiwan) and grown in RPMI160 medium. Flow cytometry and genome‐wide mRNA expression profiles were used to confirm an origin from B‐cell lymphomas. For transfection experiments, 20–40 μg of EGFP‐expressing plasmid was electroporated into the cells, followed by selection with G418 until greater than 90% were positive for EGFP. 2.4. Genome‐wide mRNA profiles in miR‐155‐BJAB and miR‐200 a, b, or c‐U2932 For identification of the targets of miR‐155 or miR‐200, BJAB cells transfected with a miR‐155‐expressing vector or three U2932 cell lines transfected with an expressing vector for miR‐200 a, b, or c, respectively, were established. Genome‐wide mRNA profiles were performed with Agilent‐072373 SurePrint G3 Human GE 8 × 60 K Microarray (NCBI GEO platform [64]GPL21185) for miR‐155‐BJAB cells and with Agilent‐028004 SurePrint G3 Human GE 8 × 60 K Microarray (NCBI GEO platform [65]GPL14550) for miR‐200‐U2932 cells, according to the manufacturer's recommendations (Agilent Technologies). Data [66]S2 and S3 were submitted as GEO Super‐series [67]GSE182362. 2.5. Genome‐wide mRNA profiles in gastric diffuse large B‐cell lymphomas A series of eight H. pylori eradication therapy‐sensitive and eight H. pylori eradication therapy‐resistant gastric DLBCLs was used. RNAs were extracted from the biopsy specimen taken at the time of initial diagnosis. All the sections had >90% atypical lymphoid infiltrates. Agilent‐039494 SurePrint G3 Human GEv2 8x60K Microarray (NCBI GEO platform [68]GPL17077) was used according to the manufacturer's recommendations (Agilent Technologies). Data [69]S4 were submitted as GEO Super‐series [70]GSE182362. The Agilent arrays, −072373, −028004, and −039494, were similar, belonging to the same series of SurePrint G3 human 8 × 60 K microarrays from Agilent. Data analysis of this study did not involve cross‐platform comparisons and did not require identical arrays. 2.6. Luciferase activity assay for inhibition of DEPTOR by miR‐155 and localization of the binding site Luciferase assays were performed in U2932 cells grown under serum‐starved conditions with a plasmid derived from the pmirGLO Dual‐Luciferase miRNA target expression vector (Promega). The plasmid, miRCS‐GLO‐targetCS, includes cloning sites (CSs) for both miRNA and 3'UTR of the target. The activity of firefly luciferase was the primary reporter to monitor inhibition of the targets by miRNAs and the activity of Renilla luciferase was used as an internal control for normalization. For inhibition of DEPTOR by miR‐155, the wild‐type (wt) or mutant (mt) 3'UTR of DEPTOR, about 1.2 K, was inserted downstream the firefly luciferase coding region and the wild‐type (wt) or mutant (mt) miR‐155 stem‐loop precursor was inserted into the miR expression cassette. The resultant vector, wt‐miR‐155‐GLO‐wt‐DEPTOR‐3'UTR, mt‐miR‐155‐GLO‐wt‐DEPTOR‐3'UTR, wt‐miR‐155‐GLO‐mt‐DEPTOR‐3'UTR, or mt‐miR‐155‐GLO‐mt‐DEPTOR‐3'UTR, was transfected into U2932 cells. Luciferase activities were measured according to the manufacturer's protocol. The ratio of firefly luciferase activity to Renilla luciferase activity was obtained and was normalized to the ratio of wt‐miR‐155‐GLO‐mt‐DEPTOR‐3'UTR. 2.7. Western blotting for DEPTOR, p‐mTOR, and GAPDH in BJAB cells transfected with miR‐155 The stem‐loop of miR‐155 was cloned into an EGFP+ expression vector. The following antibodies were used in western blotting: DEPTOR (rabbit monoclonal, D9F5, #1816) and p‐mTOR (Ser2448) (rabbit polyclonal, #2971) from Cell Signaling Technology, Danvers, and MA and GAPDH (rabbit polyclonal, FL‐335, #25778) from Santa Cruz Biotechnology, Santa Cruz, CA. 2.8. qRT‐PCR for miR‐155, U6, DEPTOR, and Actin beta Quantitative RT‐PCR for miR‐155 or U6 was performed in total RNAs extracted from formalin‐fixed, paraffin‐embedded tissue blocks with a stem‐loop RT‐PCR. For RT, the reverse primer was: 5'‐N44‐AACCCCT‐3' for miR‐155 or 5'‐N44‐AAAAATATGGAACG CTT‐3 for U6, where N44 was 5'‐GTC‐GTA‐TCC‐ATG‐GCA‐GGG‐TCC‐GAG‐GTA‐TTC‐GCC‐ATG‐GAT‐ACG‐AC‐3'. For PCR, a universal reverse PCR primer, 5'‐TGG‐CAG‐GGT‐CCG‐AGG‐T‐3', and a miR‐155‐specific forward primer 5'‐GGG‐TTA‐ATG‐CTA‐ATC‐GTG‐AT‐3’ or an U6‐specific forward primer 5'‐ATT‐AGC‐ATG‐GCC‐CCT‐GCG‐CAA −3' were used. The PCR products had a size of 61 bp for miR‐155 and 92 bp for U6. Quantitative RT‐PCR for DEPTOR and ACTB (beta‐actin) was performed with the following primers: 5'‐TCT‐CCT‐CAC‐TGC‐AGA‐CAC‐GAT‐3' (RT and PCR reverse primer for DEPTOR at exon 6), 5'‐CTG‐AGG‐AAG‐CAG‐AGC‐CAT‐GA‐3' (PCR forward primer for DEPTOR at exon 5), 5'‐CTG‐GAA‐GGT‐GGA‐CAG‐CGA‐GGC‐3' (RT and PCR reverse primer for ACTB at exon 6), and 5'‐CCC‐AGC‐ACA‐ATG‐AAG‐ATC‐AAG‐3' (PCR forward primer for ACTB at exon 5). The PCR products had a size of 93 bp for DEPTOR and also 93 bp for ACTB. 2.9. Immunohistochemistry for phosphorylated S6 kinase 1 (S6K1) Immunoperoxidase stains were performed with an antibody against phosphorylated S6K1 (rabbit monoclonal SP50, Abcam) on formalin‐fixed paraffin‐embedded tissue sections. Antigen retrieval was performed in Tris buffer at pH 8. The primary antibody was applied to the slides at 37°C for 45 min. Biotin‐conjugated secondary antibodies, peroxidase‐conjugated streptavidin, and DAB were used sequentially to complete the reactions.[71] ^21 2.10. Statistics and bioinformatics Two‐sample comparisons were performed with the t‐test for Figure [72]1A, Figure [73]3C, Figure [74]4B left, Table [75]2, Table [76]3, or the Fisher's test for Figure [77]4B right. Pearson correlation was calculated in Figure [78]1D. Statistics for Table [79]1 and Table [80]4 were specified in the footnotes. Hierarchical clustering in Figure [81]1C and Figure [82]3D was performed with the web tool ClustVis.[83] ^22 Pathway enrichment analysis in Figure [84]3A was performed with the web server g:Profiler.[85] ^23 The web server miRNeT was used for miRNA‐centered network analysis in Figure [86]3B.[87] ^24 FIGURE 1. FIGURE 1 [88]Open in a new tab In gastric diffuse large B‐cell lymphomas treated with H. pylori eradication therapy, the resistant group had higher levels of miR‐155 but lower levels of miR‐200 than the sensitive group. (A) The sensitive group had lower levels of miR‐155 and higher levels of miR‐200 than the resistant group. The NanoString technology is used to determine the levels of 654 miRNAs in 9 sensitive and 8 resistant cases. MiR‐155 is the only miRNA increased in the resistant group and miR‐200 a, b, and c are the most abundant miRNAs increased in the sensitive group. X‐axis: Ten miRNAs that are differentially expressed in the sensitive versus the resistant group. Y‐axis: mean expression levels. White: sensitive to HPET; Red: resistant to HPET. HPET: H. pylori eradication therapy. (B) Scatter plot for the expression levels of 654 miRNAs in gastric diffuse large B‐cell lymphomas. Most miRNAs had similar levels in the sensitive and resistant groups and are clustered along the x = y diagonal. Of the 10 differentially expressed miRNAs, miR‐155 (green) is above the diagonal and miR‐200 a, b, c (red), miR‐192, and miR‐194 (blue) are below the diagonal. The remaining four minor miRNAs, 31, 22, 141, and 1203 are represented by the yellow dots. X‐axis: sensitive to H. pylori eradication therapy; Y‐axis: resistant to H. pylori eradication therapy. (C) Hierarchical clustering of gastric diffuse large B‐cell lymphomas with miR‐155, miR‐200, miR‐192, and miR‐194. The sensitive cluster on the left included one resistant plus eight sensitive cases. The resistant cluster on the right included eight resistant cases. (D) An inverse correlation between miR‐155 and miR‐200 a, b, or c. The correlation coefficient between miR‐155 and miR‐200 a, b, or c, is −0.53, −0.63, and −0.58, respectively. X‐axis: level of miR‐155; Y‐axis: levels of miR‐200 a, b, or c FIGURE 3. FIGURE 3 [89]Open in a new tab A miR‐155‐related immune network identified Toll‐like receptor 5 as a potential marker for sensitivity to H. pylori eradication therapy. (A) Pathway enrichment analysis linked immune response pathways with responses to H. pylori eradication therapy. Genome‐wide mRNA expression profiles in eight sensitive and eight resistant gastric DSLBCLs identified 563 differentially expressed mRNAs. The online program g:Profiler is used for pathway enrichment analysis on the Gene Ontology (GO) database. The immune response pathway is the most significantly enriched GO pathway. X‐axis: p value for enrichment, adjusted, in –log scale; Y‐axis: significantly enriched pathways, with the most significant one at the bottom. (B) TLR5 and TLR3 in a miR‐155‐centered immune network. An immune network is constructed, using miR‐155 and 563 differentially expressed mRNAs as inputs into the online program miRNet. The constructed network included miR‐155 (green), intermediate miRNAs (blue), 73 non‐differentially expressed mRNAs (red), and 32 differentially expressed mRNAs (yellow). The left cluster is due to mRNAs (red & yellow) regulated by miR‐155 (green) and the right cluster is due to mRNAs (red & yellow) indirectly connected with miR‐155 via intermediate miRNAs (blue). (C) The expression levels of TLRs 1–10 in gastric diffuse large B‐cell lymphomas: TLR5 is a potential predictor of sensitivity to H. pylori eradication therapy. The expression levels of TLRs are extracted from genome‐wide mRNA profiles of eight sensitive and eight resistant cases. The sensitive group had higher expressions of both TLR3 and TLR5 than the resistant group (p < 0.01). Note that the expression level of TLR5 is more than one log higher than all the other TLRs. (D) Hierarchical clustering of gastric diffuse large B‐cell lymphomas with TLRs 1–10. The left sensitive cluster included six sensitive and two resistant cases associated with higher expression levels of TLR3 and TLR5. In contrast, the right resistant cluster included two sensitive and six resistant cases associated with higher expression levels of the remaining eight TLRs. R: resistant and S: sensitive FIGURE 4. FIGURE 4 [90]Open in a new tab Sensitivity to H. pylori eradication therapy is correlated with active gastritis; resistance to H. pylori eradication therapy is correlated with phosphorylated S6K1. (A) The resistant group had higher levels of miR‐155 and lower levels of DEPTOR and TLR5 than the sensitive group. From left to right: X‐axis: sensitive and resistant groups; Y‐axis: dCT of U6‐miR‐155, actin‐DEPTOR, and actin‐TLR5. (B) Representative histopathology of active and chronic gastritis and immunohistochemistry of pS6K1 in gastric diffuse large B‐cell lymphomas. Upper: lymphoma cells surrounding a destroyed foveolar gland with intraluminal neutrophils and debris (left), lymphoma cells in a vascular‐rich stroma with intravascular accumulation of neutrophils (middle), and weak pS6K1 expression (right). Lower: crushed lymphoma cells in a fibrotic stroma and a foveolar gland with intestinal metaplasia (left) and interstitial plasmacytosis (middle), and strong pS6K1 expression on lymphoma cells (right). H/E and immunoperoxidase stains on formalin‐fixed paraffin‐embedded tissue sections (all 1000×, except for the lower left at 400×). (C) The sensitive group is associated with active gastritis; the resistant group is associated with the expression of phosphorylated S6K1. Left: X‐axis: sensitive and resistant groups; Y‐axis: case numbers with active, mixed, chronic gastritis. Right: X‐axis: sensitive and resistant groups; Y‐axis: percentages of phosphorylated S6K1+ cells by immunohistochemistry, mean ± SE. (D) Overall survival (OS) and progression‐free survival (PFS) for the sensitive group are similar to that of the resistant group secondarily treated with chemotherapy. The 5‐year OS is 95.2% (95% CI, 90.6%–99.8%) for 21 sensitive cases and 76.3% (95% CI, 57.7%–97.9%) for 23 resistant cases that also received chemotherapy after failure to H. pylori eradication therapy (p = 0.33). The 5‐year PFS is 95.2% (95% CI, 90.6%–99.8%) for the sensitive group and 68.2% (95% CI, 48.6%–87.8%) for the resistant group (p = 0.15) TABLE 2. Candidate targets of miR‐155 and miR‐200 in gastric diffuse large B‐cell lymphomas resistant (R) or sensitive (S) to H. pylori eradication therapy Candidate targets of miR‐155 Candidate targets of miR‐200 Gene R S R/S p Gene S R S/R p DEPTOR 555 1613 0.34 0.005 LGALS9C 35,845 13,308 2.69 0.0004 EGLN3 651 818 0.8 0.016 LGALS9 3237 1501 2.15 0.006 SCNN1A 283 835 0.34 0.019 SAMD12 426 169 2.5 0.008 FCGR2A 3263 474 6.88 0.036 SELL 303 2676 0.11 0.04 ACVR1C 142 175 0.81 0.12 CXCL10 289 1414 0.2 0.09 COPZ2 156 129 1.21 0.13 CXCL9 1656 6578 0.25 0.09 DPP9 662 519 1.28 0.13 IFITM3 12,370 28,154 0.44 0.10 KRTAP5‐3 62 53 1.16 0.15 CCL4 1929 3818 0.51 0.12 KIF26A 67 52 1.29 0.23 IFITM1 2226 4952 0.45 0.12 F8 1203 1433 0.84 0.27 REXO1L1 67 91 0.74 0.12 NUDT10 1377 1486 0.93 0.27 AICDA 38 585 0.064 0.15 TAS2R20 8 14 0.62 0.27 C1QB 2891 6444 0.45 0.16 AQP6 109 126 0.87 0.32 TMPRSS4 853 633 1.34 0.19 GRK1 195 220 0.89 0.37 AIRE 1061 900 1.18 0.22 WDR7 717 584 1.23 0.38 PTGS1 292 219 1.33 0.23 ICA1L 17 21 0.83 0.43 AIM2 1335 2990 0.45 0.28 CYP21A2 1042 1099 0.95 0.65 ZNF431 10 15 0.72 0.28 PIGK 260 236 1.1 0.68 CCDC24 42 58 0.72 0.29 ABI3BP 567 597 0.95 0.75 CEBPA 446 350 1.28 0.3 RBPMS 526 546 0.96 0.82 GTF2IRD2B 266 208 1.28 0.36 KCNC1 69 72 0.96 0.89 CACNA1B 1175 1105 1.06 0.45 LY6E 522 642 0.81 0.53 NRXN2 184 194 0.94 0.72 ST3GAL4 357 447 0.8 0.72 EME2 177 183 0.97 0.76 SLCO4A1 233 215 1.08 0.85 COL27A1 3849 3915 0.98 0.86 STRA8 8.6 8.4 1.02 0.91 IFI44L 620 602 1.03 0.92 B3GNT7 492 345 1.42 1.43 [91]Open in a new tab Transfection of miR‐155 into BJAB cells identified 22 suppressed transcripts (Table [92]S1). Levels of the candidate targets in biopsy specimens of gastric DLBCLs are listed here. Only DEPTOR was significantly reduced in HPET‐resistant gastric DLBCLs. Transfection of miR‐200 into U2932 cells identified 30 suppressed transcripts. (Table [93]S2). Levels of the candidate targets in biopsy specimens of gastric DLBCLs are listed here. Only SELL was significantly reduced in HPET‐sensitive gastric DLBCLs. Abbreviations: DLBCL, diffuse large B‐cell lymphoma; HPET, H. pylori eradication therapy. TABLE 3. miR‐155‐centered immune response genes Gene R[94]^* S[95]^* p Description IFI27 24,288 74,040 0.01 Interferon, alpha‐inducible protein 27 [[96]NM_005532] NUPL2 23,926 16,295 0.01 Nucleoporin like 2 [ENST00000477844] TLR5 8531 22,005 0.01 Toll‐like receptor 5 [[97]NM_003268] INPP5D 6121 1641 0.03 Inositol polyphosphate 5‐phosphatase, 145 kDa, [[98]NM_001017915] CD81 3943 1752 0.01 CD81 molecule [[99]NM_004356] ICAM3 3720 1625 <0.01 Intercellular adhesion molecule 3 [[100]NM_002162] LGALS9 1502 3237 0.01 Lectin, galactoside‐binding, soluble, 9 [ENST00000584386] ERBB2 1203 2528 0.01 V‐erb‐b2 avian erythroblastic leukemia viral oncogene homolog 2 [[101]NM_001005862] ICAM1 1888 586 0.02 Intercellular adhesion molecule 1 [[102]NM_000201] WASL 593 1378 <0.01 Wiskott‐Aldrich syndrome like [[103]NM_003941] CDH1 367 1529 0.01 Cadherin 1, type 1, E‐cadherin (epithelial) [[104]NM_004360] JAK3 1073 526 <0.01 Janus kinase 3 [[105]NM_000215] PRKAR1A 781 459 0.01 Protein kinase, cAMP‐dependent, regulatory, type I, alpha, [[106]NM_212472] MAP3K14 665 393 0.03 Mitogen‐activated protein kinase kinase kinase 14 [[107]NM_003954] CBL 527 386 0.02 Cbl proto‐oncogene, E3 ubiquitin protein ligase [[108]NM_005188] STAT3 596 254 0.01 Signal transducer and activator of transcription 3 (acute phase response factor) [[109]NM_213662] PIK3CD 555 267 0.01 Phosphatidylinositol 4,5‐bisphosphate 3‐kinase, catalytic subunit delta [[110]NM_005026] KPNA7 161 611 <0.01 Karyopherin alpha 7 (importin alpha 8) [[111]NM_001145715] DOCK1 328 405 0.02 Dedicator of cytokinesis 1 [[112]NM_001380] CXADR 121 482 <0.01 Coxsackie virus and adenovirus receptor [[113]NM_001338] TLR3 140 419 0.01 Toll‐like receptor 3 [[114]NM_003265] BTC 124 417 <0.01 Betacellulin [[115]NM_001729] STAT5A 396 129 0.01 Signal transducer and activator of transcription 5A [[116]NM_003152] MAP3K13 145 265 0.02 Mitogen‐activated protein kinase kinase kinase 13, [[117]NM_004721] ERBB3 84 294 <0.01 V‐erb‐b2 avian erythroblastic leukemia viral oncogene homolog 3, [[118]NM_001005915] HAVCR2 272 66 0.01 Hepatitis A virus cellular receptor 2 [[119]NM_032782] PRKCB 235 83 0.01 Protein kinase C, beta, [[120]NM_002738] CNPY3 202 93 <0.01 Canopy FGF signaling regulator 3 [[121]NM_006586] TRIM32 98 68 0.04 Tripartite motif‐containing 32 [[122]NM_012210] CTLA4 111 33 0.04 Cytotoxic T‐lymphocyte‐associated protein 4 [[123]NM_005214] FGF7 85 42 0.05 Fibroblast growth factor 7[[124]NM_002009] NOD1 62 25 <0.01 Nucleotide‐binding oligomerization domain‐containing 1 [[125]NM_006092] [126]Open in a new tab Abbreviation: HPET: H. pylori eradication therapy. ^* The Table lists 32 genes that are differentially expressed between HPET‐resistant (R) and HPET‐sensitive (S) gastric diffuse large B‐cell lymphomas. Genes with high expression levels are at the top. TABLE 4. Distinct pathology of early stage gastric diffuse large B‐cell lymphomas sensitive or resistant to H. pylori eradication therapy HPET sensitive HPET resistant p [127]^* Gastritis Active 6 2 0.04 Mixed 7 3 Chronic 3 9 qRT‐PCR dCT [U6‐miR‐155] −10.4 ± 0.2, n = 15 −8.6 ± 0.8, n = 13 0.02 dCT [ACTB‐DEPTOR] 0.9 ± 0.6, n = 17 −2.1 ± 0.7, n = 16 0.004 dCT [ACTB‐TLR5] −1.2 ± 0.6, n = 17 −4.0 ± 0.5, n = 16 0.001 IHC %, pS6K1+ cells 33%, n = 15 56%, n = 15 0.005 [128]Open in a new tab Abbreviation: HPET: H. pylori eradication therapy. ^* The Fisher's test for categorical data and the Student's t‐test for continuous data. 3. RESULTS 3.1. In gastric DLBCLs treated with H. pylori eradication therapy, the resistant group had higher levels of miR‐155 but lower levels of miR‐200 than the sensitive group Using the NanoString technology, we measured genome‐wide miRNA expression profiles in nine H. pylori eradication therapy‐sensitive gastric DLBCLs and eight H. pylori eradication therapy‐resistant gastric DLBCLs. Out of 654 miRNAs, 2 miRNAs, including miR‐155 and miR‐1203, were associated with the resistant group, whereas 8 miRNAs, including miR‐200 a, b, and c, 22, 31, 141, 192, and 194, were associated with the sensitive group (Figure [129]1A; Data [130]S1). A two‐dimensional scatter plot of the expression levels of the 654 miRNAs showed that most miRNAs had similar levels in the two groups and were located near the diagonal (Figure [131]1B). There was more random scattering of miRNAs of low abundance at the left lower part of the scatter plot. Therefore, the more abundant miR‐155 and miR‐200 a, b, and c that were located off the diagonal, were chosen for further investigation. Hierarchical clustering confirmed a resistant cluster including eight resistant cases and one sensitive case, and a sensitive cluster including eight sensitive cases (Figure [132]1C). The resistant cluster was associated with high levels of miR‐155, but low levels of miR‐200, miR‐192, and miR‐194. Conversely, the sensitive cluster was associated with low levels of miR‐155, but high levels of miR‐200, miR‐192, and miR‐194. In addition, there was an inverse correlation between miR‐155 and miR‐200 a, b, or c. The correlation coefficients were −0.53, −0.63, and −0.58 at a p value of 0.12, 0.008, and 0.03, respectively, in the 17 gastric DLBCLs (Figure [133]1D). This finding suggested miR‐155 as a marker for resistance to H. pylori eradication therapy and miR‐200 as a marker for sensitivity to H. pylori eradication therapy. 3.2. mRNA profiles of miR‐155‐transfected BJAB cells and miR‐200‐transfected U2932 cells identified candidate targets of miR‐155 and miR‐200 BJAB and U2932 cells were derived from B‐cell lymphomas. To search for targets of miR‐155 or miR‐200, genome‐wide mRNA profiling was performed in BJAB cells transfected with miR‐155 and in U2932 cells transfected with miR‐200 a, b, or c. Genome‐wide alterations in mRNA profiles induced by miR‐155 and miR‐200 were obtained (Data [134]S2 and S3). B‐cell lymphomas had 10‐ to 30‐fold higher expression levels of miR‐155 than circulating B cells.[135] ^25 We measured dCT[U6‐miR‐155] in cell lines of diffuse large B‐cell lymphoma (−7.6 for BJAB, −7.7 for U2932, −8.2 for OCI‐Ly3, and −10.0 for OCI‐Ly7), Burkitt lymphoma (−9.9 for EBV‐negative Ramos and −10.7 for EBV‐positive Raj), and Hodgkin lymphoma (−4.5 for L428 and −6.2 for KHM2). After transfection of miR‐155 into BJAB cells, there was an increase in dCT[U6‐miR‐155] from −7.6 to −5.3, indicating a fourfold increase in miR‐155, similar to the fourfold increase in miR‐155 from the sensitive group to the resistant group. For identification of miR‐155 targets, the absolute level of miR‐155 was probably not as critical as the changes induced by transfection. The genes whose transcripts were suppressed by miR‐155 in BJAB cells or by miR‐200 in U2932 cells, including 22 candidate targets for miR‐155 and 30 candidate targets for miR‐200, are summarized in Table [136]S1 and [137]S2. 3.3. mRNA profiles of biopsy specimens verified that miR‐155 inhibited DEPTOR in gastric DLBCLs resistant to H. pylori eradication therapy Genome‐wide mRNA profiles in eight resistant gastric DLBCLs and eight sensitive gastric DLBCLs were obtained (Data [138]S4). The levels of miR‐155 or miR‐200 candidate targets in gastric DLBCLs are listed in Table [139]2. Out of the 22 candidate targets for miR‐155, DEPTOR was the one most significantly reduced in resistant gastric DLBCLs (p = 0.005). Out of the 30 candidate targets for miR‐200, only SELL was marginally reduced in sensitive gastric DLBCLs (p = 0.04). Significantly, DEPTOR is a predicted target of miR‐155, but SELL is not a predicted target of miR‐200 a, b, or c, by several online programs, such as RNAhyb or the program at microRNA.org. Therefore, combined data from cell lines, gastric DLBCLs, and predictive programs implied that miR‐155 inhibits DEPTOR in gastric DLBCLs resistant to H. pylori eradication therapy. 3.4. Activation of mTOR through miR‐155‐mediated inhibition of DEPTOR in lymphoma cell lines Experiments were performed in BJAB and U2932 cells to confirm that mTOR could be activated by miR‐155‐mediated inhibition of DEPTOR. The interactions between miR‐155 and the 3'UTR of DEPTOR, based on the RNAhyb program, were located at 480 nucleotides after the stop codon (Figure [140]2A). Confirmation of the binding site for miR‐155 was performed with luciferase assays in U2932 cells (Figure [141]2B). The activity of luciferase was suppressed when miR‐155 interacted with 3'UTR of DEPTOR. Disruptions of the interactions, due to mutations of either miR‐155 or 3'UTR of DEPTOR, increased the activity of luciferase. Restorations of the interactions, after simultaneous compensatory mutations of both miR‐155 and 3'UTR of DEPTOR, suppressed the luciferase activity again. These compensatory mutations confirmed the predicted interactions in Figure [142]2A. FIGURE 2. FIGURE 2 [143]Open in a new tab MiR‐155 inhibits DEPTOR with secondary activation of mTOR in B lymphoma cell lines. (A) A model for the interactions between miR‐155 and the 3'UTR of DEPTOR. The RNAhyb program predicts a binding site starting at 480 nucleotides after the stop codon. Upper: sequence of the target site at the 3'UTR of DEPTOR; Lower: sequence of miR‐155. The 5' and 3' ends are specified. (B) Confirmation of the binding site for miR‐155 with luciferase assay in U2932 cells. Y‐axis: relative luciferase activity. X‐axis, from left to right: U2932 cells transfected with miR‐155 and DEPTOR, with mt‐miR‐155 and DEPTOR, with miR‐155 and mt DEPTOR, and with mt miR‐155 and mt DEPTOR (wt: wild type; mt mutant). (C) Induction of phosphorylated mTOR (p‐mTOR) by miR‐155 in BJAB cells. An EGFP+ vector is used to over‐express miR‐155. After transfection and sorting, >90% of the cells are EGFP+. Overexpression of miR‐155 reduced the level of DEPTOR with secondary increase in the level of p‐mTOR. (D) A model for induction of p‐mTOR by miR‐155 in gastric diffuse large B‐cell lymphoma resistant to H. pylori eradication therapy. In the mTOR complex, DEPTOR together with either RAPTOR in mTORC1 or RICTOR in mTORC2 inhibit the activity of mTOR. In the presence of increased miR‐155 and decreased DEPTOR, the inactive complex dissociates into active form. D: DEPTOR and R: RAPTOR or RICTOR Furthermore, western blotting showed that overexpression of miR‐155 in BJAB cells inhibited DEPTOR and induced phosphorylated mTOR (p‐mTOR) (Figure [144]2C). Together, we proposed a model for resistance to H. pylori eradication, in which miR‐155 may inhibit DEPTOR, leading to dissociation of the inactive mTOR complex and activation of p‐mTOR (Figure [145]2D). 3.5. Pathway enrichment analysis linked immune response pathways with responses to H. pylori eradication therapy Genome‐wide mRNA expression profiles in eight H. pylori eradication therapy‐sensitive gastric DLBCLs and eight H. pylori eradication therapy‐resistant gastric DLBCLs identified 563 mRNAs that were differentially expressed in the sensitive versus resistant group. The online program g:Profiler was used for pathway enrichment analysis based on the Gene Ontology (GO) database. The 30 most enriched pathways are shown in Figure [146]3A, with the immune response pathway being the most significantly enriched GO pathway. 3.6. Construction of a miR‐155‐centered immune network including TLR5 Using miR‐155 and the 563 mRNAs as inputs into the online program miRNet, a miR‐155‐centered immune network was constructed, including 73 non‐differentially expressed mRNAs and 32 out of the 563 differentially expressed mRNAs (Figure [147]3B). The network included a cluster of mRNAs directly inhibited by miR‐155 and a second cluster of mRNAs indirectly connected with miR‐155. TLR5 and also TLR3, belonged to the indirect cluster (Figure [148]3B). The expression levels of these 32 differentially expressed mRNAs are listed in Table [149]3. TLR5, one of the genes with high expression levels, was associated with sensitivity to H. pylori eradication therapy. Another Toll‐like receptor, TLR3, was also associated with sensitivity to H. pylori eradication therapy, although the expression level of TLR3 was much lower than that of TLR5 (TLR5: 8531 in the resistant group and 22,005 in the sensitive group; TLR3: 140 in the resistant group and 419 in the sensitive group). It is interesting to know that TLR5 is a cell membrane receptor for bacterial flagellin, such as that of H. pylori, and TLR3 is an intracellular receptor for double‐stranded RNA of viral origin. 3.7. The expression levels of TLRs 1–10 in gastric DLBCLs: TLR5 was a potential predictor of sensitivity to H. pylori eradication therapy The expression levels of TLRs were extracted from genome‐wide mRNA profiles of eight H. pylori eradication therapy‐sensitive gastric DLBCLs and eight H. pylori eradication therapy‐resistant gastric DLBCLs (Figure [150]3C). The sensitive group had higher expressions of both TLR3 and TLR5 than the resistant group (p < 0.01). In addition, the expression level of TLR5 was more than one log higher than all the other TLRs, implying a critical role of TLR5 in predicting sensitivity to H. pylori eradication therapy. 3.8. Hierarchical clustering of gastric DLBCLs with TLRs 1–10: association of TLR5 with sensitivity to H. pylori eradication therapy The expression levels of all 10 TLRs in 8 H. pylori eradication therapy‐sensitive gastric DLBCLs and 8 H. pylori eradication therapy‐resistant gastric DLBCLs were used in hierarchical clustering (Figure [151]3D). Higher levels of TLR3 and TLR5 were associated with a cluster of six sensitive and two resistant lymphomas. In contrast, higher expression levels of the remaining eight TLRs were associated with a cluster of two sensitive and six resistant lymphomas. This observation provided further evidence for using TLR5 as a marker of sensitivity to H. pylori eradication therapy in gastric DLBCLs. 3.9. In gastric DLBCLs treated with H. pylori eradication therapy, sensitivity was correlated with active gastritis and weaker pS6K1, whereas resistance was correlated with chronic gastritis and stronger pS6K1 Because TLR5 increases neutrophil infiltration in animal models of bacterial infection,[152] ^26 , [153]^27 histopathological evidences of acute inflammation could be used as surrogate markers for sensitivity to H. pylori eradication therapy. Conversely, activation of mTOR causes fibrosis in several organ systems,[154] ^28 , [155]^29 , [156]^30 , [157]^31 , [158]^32 so chronic inflammation or increase in the mTOR‐regulated phosphorylation of S6K1 might be used as surrogate markers for resistance to H. pylori eradication therapy. A series of early stage gastric DLBCLs that has been treated with H. pylori eradication therapy was used to support this hypothesis. The clinical and pathological features are summarized in Table [159]1 and Table [160]4. The sensitive group was characterized by lower miR‐155 and higher DEPTOR and TLR5 than the resistant group (Figure [161]4A). Active inflammation was characterized by foveolar abscess of the gland, a vascular‐rich stroma with intravascular and interstitial neutrophilic infiltrates, and weak pS6K1 expression (Figure [162]4B, upper). Chronic inflammation was characterized by intestinal metaplasia of the gland, a fibrotic stroma with plasmacytoid infiltrates, and strong pS6K1 expression (Figure [163]4B, lower). The sensitive group was more likely to have active inflammation and the resistant group was more likely to have chronic inflammation (p = 0.04, Figure [164]4C, left). The sensitive group was more likely to have weaker pS6K1 and the resistant group was more likely to have stronger pS6K1 (p = 0.005, Figure [165]4C, right). 3.10. Patients who were resistant to HPET may be successfully rescued by secondary immunochemotherapy without any detrimental effects The sensitive group included 21 patients that achieved complete remission after H. pylori eradication therapy (HPET). The median time to complete remission was 2 months. None had later relapse. The 5‐year overall survival (OS) or progression‐free survival (PFS) was 95.2% (95% CI, 90.6%–99.8%), and there was no need for second‐line treatment. The resistant group included 23 patients with residual, stable, or progressive disease after HPET. They were then treated with chemotherapy. The 5‐year OS was 76.3% (95% CI, 57.7%–97.9%), and the 5‐year PFS was 68.2% (95% CI, 48.6%–87.8%). The median TTNT (time to next treatment) from initiation of HPET to initiation of chemotherapy was 4 months. In this series, 5 of the 21 sensitive cases and 3 of the 23 resistant cases received more than one course of HPET (p = 0.45, Fisher's test). The differences in the OS or PFS between the sensitive and the resistant groups were not significant (p = 0.33 for OS, and p = 0.15 for PFS, Figure [166]4D). HPET for the sensitive group was as effective as secondary chemotherapy for the resistant group, but without the complications of chemotherapy. 4. DISCUSSION Gastric lymphoma, including MALT lymphoma and DLBCL, is often associated with H. pylori infection. Both MALT lymphoma and DLBCL can be treated by H. pylori eradication therapy.[167] ^2 , [168]^3 , [169]^4 Depending on responses to H. pylori eradication therapy, gastric DLBCLs include a sensitive group and a resistant group. However, the molecular features that distinguish the sensitive group from the resistant group are still unclear. Through miRNA profiles, we showed miR‐155 as a marker for resistance to H. pylori eradication therapy. To identify the miR‐155 target, we transfected miR‐155 into BJAB cells to isolate a list of 22 candidate targets, and showed that DEPTOR was the only target suppressed in the resistant group. This is an experimental approach. In contrast, the identification of TLR5 as a marker for the sensitive group was performed with the miRNet, which is a recently established web server for miRNA and mRNA interactions.[170] ^24 These complementary approaches then suggested active gastritis, which correlates with TLR5, and phosphorylated S6K1, a substrate of mTOR, as the most practical surrogate markers for responses to H. pylori eradication therapy. The protein mTOR is normally in complex with an inhibitory regulator, either RAPTOR in mTOR complex 1 (mTORC1) or RICTOR in mTOR complex 2 (mTORC2). On top of these inhibitory regulators, DEPTOR inhibits mTOR through direct interactions with mTORC1 or mTORC2 (Figure [171]2D). Both RAPTOR and RICTOR are known targets of miR‐155.[172] ^7 , [173]^33 And in the present report, we further demonstrated that miR‐155 may inhibit DEPTOR with activation of mTOR to cause resistance to H. pylori eradication therapy in gastric DLBCL. This conclusion extends a previous report that miR‐155 is a biomarker of resistance to H. pylori eradication therapy in gastric MALT lymphoma.[174] ^34 The mTOR pathway is not only involved in cell metabolism and cell proliferation, as initially thought, but also related to immunity against bacterial and viral infection,[175] ^35 , [176]^36 , [177]^37 including H. pylori infection.[178] ^38 Due to the complexity of T cells and dendritic cells involved in immune reactions, mTOR activation may either protect the host or promote the disease. Similar to the mTOR pathway, miR‐155 is an evolutionarily ancient miRNA that not only regulates the immune system,[179] ^39 , [180]^40 , [181]^41 , [182]^42 with significant roles in bacterial infection,[183] ^43 but also has been used as a biomarker for disease progression in B‐cell lymphoma.[184] ^44 Consistent with these data on miR‐155 and mTOR, we identified DEPTOR as a novel target of miR‐155, and established associations between the miR‐155‐DEPTOR‐mTOR pathway and resistance to H. pylori eradication therapy in gastric DLBCLs. DEPTOR, a target of microRNA‐155, regulates migration and cytokine production in nodal diffuse large B‐cell lymphoma.[185] ^45 Therefore, the association between suppression of DEPTOR and a more aggressive behavior is not specific for gastric DLBCL. However, the biological mechanisms and clinical significance in gastric DLBCL, due to resistance to eradication therapy through the mTOR pathway, are different from those of nodal DLBCL, due to cytokine production. TLR5 recognizes flagellin of various bacteria, and increases neutrophil infiltration in animal models of bacterial infection.[186] ^26 , [187]^27 Although H. pylori have evolved mutant flagellin with low affinity for TLR5 to evade the immune system of the host, the H. pylori encoded protein cagL or cagY can still act as a flagellin‐independent TLR5 activator, and expression of TLR5 was correlated with active gastritis in murine models of H. pylori infection.[188] ^46 , [189]^47 These observations are consistent with our findings that active gastritis is associated with strong TLR5 expression and sensitivity to H. pylori eradication therapy in gastric DLBCLs. However, due to the small sample size, mixed acute and chronic inflammation, and variability in morphological assessment, an independent series would be necessary to confirm the usage of active gastritis as a marker for sensitivity to H. pylori eradication therapy. TLR5 probably did not upregulate miR‐155, because the correlation coefficient between dCT[U6‐miR‐155] and dCT[actin‐TLR5] was −0.22, at p value of 0.35, in our series. It is interesting to note that the promoter of miR‐155 includes two NFκB binding sites,[190] ^48 and H. pylori may activate NFκB via the alternative pathway in B lymphocytes.[191] ^49 Therefore^, H. pylori might have induced miR‐155 through NFκB in gastric DLBCL, and the elevated miR‐155 might cause resistance to H. pylori eradication therapy. Initially, we thought that the GCB versus ABC classification might be associated with responses to H. pylori eradication therapy. BJAB is a cell line of GCB (germinal center B cell) DLBCL, and miR‐155 was transfected into BJAB cells to search for inhibition of GCB‐related mRNAs. Similarly, U2932 is a cell line of ABC (activated B cell) DLBCL, and miR‐200 was transfected into U2932 to search for inhibition of ABC‐related mRNAs. Our negative finding of miR‐155 or miR‐200‐induced inhibition of GCB or ABC‐associated transcripts suggested that the division into GCB and ABC types of gastric DLBCL might not be as significant as that of nodal DLBCL. Because of an association between reduced DEPTOR and an aggressive behavior in nodal DLBCL of the ABC type,[192] ^45 we have looked for a similar association in gastric DLBCL through the GCB versus ABC classification. However, the classification of gastric DLBCL into GCB and ABC types is itself an issue. We have tried clustering of our gastric DLBCLs into GCB and ABC types, using as controls, NCBI GEO [193]GSE56315.[194] ^50 Out of 16 cases from our series with genome‐wide expression profiles, only 3 cases were classified as the GCB type and 3 cases were classified as the ABC type. The remaining 10 cases could not be classified due to mixed up of GCB and ABC markers (Figure [195]S1). This result further demonstrated a difference between nodal and extra‐nodal diffuse large B‐cell lymphomas. The prevalence of EBV infection was not investigated in our series. The diagnosis of EBV infection on biopsy is usually based on in situ hybridization for EBER. The prevalence of EBV infection in gastric lymphoma varies from rare to 20%, in part because no uniform cut‐off percentages of EBER+ cells were used. A recent meta‐analysis found an overall prevalence of about 7% for all nodal and non‐nodal DLBCLs.[196] ^51 We did not look specifically at EBV infection, because 3 of our 44 cases might be EBV+, highly unlikely to draw a statistically significant conclusion on EBV and miR‐155 from such limited cases. In conclusion, genome‐wide miRNA and mRNA profiling were performed on gastric diffuse large B‐cell lymphomas. In the first step, miR‐155 was identified as a marker for resistance to H. pylori eradication therapy. In the second step, DEPTOR was identified through an experimental approach as a novel target of miR‐155 and TRL5 was identified through a bioinformatic approach as a marker for sensitivity to H. pylori eradication therapy. In the third step, we showed active gastritis and phosphorylated S6K1 as surrogate markers for TLR5 and mTOR, respectively. Our data extend a previous report that miR‐155 is a biomarker of resistance to H. pylori eradication therapy in gastric MALT lymphomas.[197] ^34 The activation of the miR‐155‐DEPTOR‐mTOR pathway is of biological and clinical significance in gastric DLBCL. Additional studies would be necessary to reveal how activation of mTOR induces resistance to H. pylori eradication therapy in gastric DLBCL. CONFLICT OF INTEREST The authors have declared that no conflict of interest exists. AUTHOR CONTRIBUTION Huang WT and Kuo YC performed the experiments. Kuo SH provided the clinical data and informed consents. Lin CW designed the project and wrote the manuscript. ETHICAL APPROVAL STATEMENT The ethical committee of the National Taiwan University Hospital approved the study and informed consent was obtained. Supporting information Fig S1 [198]Click here for additional data file.^ (2.4MB, pdf) Table S1 [199]Click here for additional data file.^ (29KB, docx) Table S2 [200]Click here for additional data file.^ (33.7KB, docx) Data S1‐S4 [201]Click here for additional data file.^ (12.8KB, docx) ACKNOWLEDGMENTS