The Relationship Between Primary Gastric B-cell Lymphoma and Immunoglobulin Heavy Chain (IgH) Gene Rearrangement – A Histopathological Study of Primary Gastric Lymphomas
Department of Pathology, Saga Medical School, Saga, Japan. Pathology - Research and Practice
(Impact Factor: 1.4).
02/2003; 199(10):647-58. DOI: 10.1078/0344-0338-00476
The aim of this study was to review our primary gastric lymphoma cases according to the new WHO classifications and to investigate the histopathological features of B-cell lymphomas. In addition, B-cell monoclonality was analyzed for immunoglobulin heavy chain (IgH) gene rearrangement using the polymerase chain reaction at the site of the lymphoma lesion, transitional lesion, and the non-lymphoma lesion. Specimens resected from 31 primary gastric lymphomas were examined. There were 28 cases (90.3%) of B-cell lymphoma and three cases (9.7%) of T-cell lymphoma. The B-cell lymphomas were classified as low-grade mucosa-associated lymphoid tissue (MALT) lymphoma (LGML) (9%), high-grade MALT lymphoma (HGML) (42%), and diffuse large B-cell lymphoma (DLBCL) (29%). Histopathologically, lymphoepithelial lesions (LEL) were higher in LGML (100%) than in DLBCL (22%), with statistical significance (p < 0.05). A monoclonal pattern of IgH rearrangement was detected in LGML (50.0%), HGML (60.0%), and DLBCL (80.6%), with a statistically significant difference between LGML and DLBCL (p < 0.01). The IgH monoclonal pattern may reflect the gross appearance of lymphoma or the lymphoma infiltration depth. Superficial spreading and shallow growth in LGML may correspond to an oligoclonal pattern, and mass-forming and deep invasive growth in DLBCL may correspond to a more monoclonal pattern.
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- "If DNA shows distinct band of the same electrophoresis mobility, the sample is defined as monoclonal. Normal DNA and reactive DNA hyperplasia are polyclonal with smear bands . It's said that about 80% of B-NHL have IgH monoclonal rearrangement and 30% of T-NHL have TCR monoclonal rearrangement .The latest study reports that positive ratio could be up to 99% (B-NHL)and 94% (T-NHL) using multiplex primers . "
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ABSTRACT: Plasma cell-free DNA is the soluble DNA and tumor-derived DNA in plasma which has the same mutation as the tumor cellular DNA. This study aimed at comparing the properties of plasma cell-free DNA with the biopsy's DNA in order to evaluate the clinical significance of IgH and TCRγ gene rearrangement in plasma cell-free DNA from patients with non-Hodgkin's Lymphoma. A total of 360 samples were studied. IgH (FR3A/VLJH) and TCRγ (TVG/TJX) were amplified by PCR. Results of plasma cell-free DNA were compared with biopsy's DNA and mononuclear cellular DNA respectively. Plasma cell-free DNA were successfully extracted from 288 cases of newly diagnosed, refractory and relapsed NHL in total 360 patients (80%).But nothing was found in the other 72 remittent patients. The positive percentage of IgH rearrangement in patients with B-NHL was 81% in plasma cell-free DNA and 77% in biopsy's DNA (P>0.05). As to the ratio of TCRγ rearrangement in patients with T-NHL, the former was 44%, and the latter was 39% (P>0.05). These results show tumor-derived DNA could be detected in tumor loaded plasma, even of underlying cancer patients. For NHL patients, detecting IgH and TCRγ gene rearrangement of plasma cell-free DNA has the same clinical significance as biopsy's DNA. Moreover, it's more simple, convenient and non-invasive. Keywords: Lymphoma non-Hodgkin, plasma, cell-free DNA, gene rearrangement, immunoglobulin, heavy-chain gene, T-cell receptor.γ
Neoplasma 01/2010; 57(6):507-11. DOI:10.4149/neo_2010_06_507 · 1.87 Impact Factor
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ABSTRACT: SHP-1 is an important negative regulator involved in signaling through receptors for cytokine/growth factors, and differential patterns of SHP-1 expression in several types of B-cell lymphomas closely resemble the patterns seen in their normal B cell counterparts. In an effort to elucidate the origin of primary central nervous system lymphomas (PCNSL), the present study assessed 32 cases of PCNSL. Tumors were subclassified according to WHO classification and were evaluated by immunohistochemistry for expression of antigens associated with germinal center (GC) (CD10, Bcl-6) and non-GC stages (SHP-1, CD138). Twenty-nine cases showed diffuse large-cell centroblastic morphology, whereas three cases showed diffuse large-cell immunoblastic morphology. The immunophenotypes of PCNSL were as follows: SHP-1+/Bcl-6-/CD10-/CD138- (12 of 32 cases); SHP-1+/Bcl-6+/CD10-/CD138- (15 of 32 cases); SHP-1+/Bcl-6+/CD10+/CD138- (two of 32 cases); SHP-1+/Bcl-6-/CD10+/CD138- (one of 32 cases); and SHP-1-/Bcl-6-/CD10-/CD138- (two of 32 cases). These results indicate that PCNSL might be distinct lymphomas that originate from a late germinal center to an early postgerminal center.
Pathology International 10/2004; 54(9):659-66. DOI:10.1111/j.1440-1827.2004.01677.x · 1.69 Impact Factor
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ABSTRACT: Primary gastric B-cell non-Hodgkin's lymphoma (B-NHL) has a similar morphocytological presentation to severe chronic gastritis, which complicates the pathological diagnosis of this disease. To investigate the practicality and utility of the BIOMED-2 standardized primer system for the diagnosis of primary gastric B-NHL from endoscopic biopsy specimens, we selected 65 cases of archived paraffin-embedded primary gastric B-NHL specimens as well as 27 cases of severe chronic gastritis samples to serve as a negative control group. The positivity rates of immunoglobulin heavy chain (IgH) gene rearrangements detected by the BIOMED-2 standardized primer system for the two groups were 86.4% and 12.0%, respectively, which are significantly different (p < 0.05). Importantly, the combined detection of the five groups of the IgH primer system increased the detection rate of B-NHL. These findings indicate that the BIOMED-2 standardized primer system is suitable for formalin-fixed and paraffin-embedded (FFPE) specimens and is valuable as a secondary diagnostic tool for primary gastric B-NHL as well as the differential diagnosis of severe chronic gastritis.
Apmis 04/2014; 122(9). DOI:10.1111/apm.12250 · 2.04 Impact Factor
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