scholarly journals Hedgehog signaling pathway is activated in diffuse large B-cell lymphoma and contributes to tumor cell survival and proliferation

Leukemia ◽  
2010 ◽  
Vol 24 (5) ◽  
pp. 1025-1036 ◽  
Author(s):  
R R Singh ◽  
J E Kim ◽  
Y Davuluri ◽  
E Drakos ◽  
J H Cho-Vega ◽  
...  
Blood ◽  
2016 ◽  
Vol 127 (11) ◽  
pp. 1438-1448 ◽  
Author(s):  
Michael Flori ◽  
Corina A. Schmid ◽  
Eric T. Sumrall ◽  
Alexandar Tzankov ◽  
Charity W. Law ◽  
...  

Key Points The sphingosine-1-phosphate receptor 2 (S1PR2) is a novel tumor suppressor and survival prognosticator in the ABC subtype of DLBCL. S1PR2 is a direct, repressed FOXP1 target; ectopic S1PR2 expression induces apoptosis in DLBCL cells in vitro and prevents tumor growth.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4145-4145
Author(s):  
Andrew M Evens ◽  
Monika Pilichowska ◽  
Stefania Pittaluga ◽  
Judith Ferry ◽  
Jessica Hemminger ◽  
...  

Abstract BACKGROUND: GZL (B-cell lymphoma, unclassifiable, with features intermediate between DLBCL andcHL) was first described in 2005 and included in the 2008 WHO classification. The majority of cases present withmediastinal disease and share features withcHL and primarymediastinal large B-cell lymphoma (PMBCL). Non-mediastinal lymphomas with similar features have also been reported. Due to the relative rarity and the diagnostic complexity of this disease, data on GZL are limited and further description of this entity is desired. METHODS: Clinical data from cases originally diagnosed as GZL were collected from 15 academic centers across the United States and Canada (Evens et al. Am J Hematol, 2015). In an attempt to further characterize the diagnostic features and clinical correlations, 73 cases (including 62 cases from the aforementioned series and 11 subsequently collected cases) were obtained and submitted for central pathology review using criteria of the 2016 revisedWHO classification. All diagnostic samples were evaluated with a panel comprising CD20, CD79a, PAX5, OCT2, BCL6, MUM1, CD30, CD15, CD3 and EBV by in situ hybridization (EBER). Beyond the tumor cellimmunoprofile, diagnostic criteria included: tumor cell density and morphology, necrosis, and the microenvironment. Five cases were rejected for insufficient material/technical issues. Collectively, 68 cases were evaluated by 5 experthematopathologists and consensus diagnosis was reached at multi-headed scope review. Additionally, clinical data were obtained to analyze patient (pt) characteristics and disease outcomes. RESULTS: Of 68 cases given an original diagnosis of GZL from academic institutions, only 26 cases (38%) were confirmed as GZL on consensus review. Pt characteristics of these 26 GZL cases included: 15M/11F; median age 37 years (range 19-72); 42% B symptoms; 61% anemia; 35% increased LDH; and 33% with hypoalbuminemia. 11/26 (42%) biopsies were mediastinal in origin, and in an additional 4 cases, a mediastinal mass was present clinically; 11 (42%) had only peripheral lymphadenopathy/disease (ie, non-mediastinal). 60% of pts had stage I/II disease with 16% having stage IV. GZL cases were characterized by high tumor cell density and paucity of a mixed inflammatory background (both contrary as seen in cHL). The immunohistochemical profiles of the 26 consensus GZL cases are noted in the Table. Notably, only 1 GZL case was EBV positive. 42/68 (62%) of the original cases were reclassified as follows: nodular sclerosis (NS)cHL, n=27 [n=10 of which werecHL, NS grade 2 (cHL-NS2)] and one lymphocyte-richcHL (LRCHL), n=1; DLBCL NOS, n=4; PMBCL, n=2; nodular lymphocyte predominant Hodgkin lymphoma (NLPHL), n=3; EBV positive LBCL, n=3; and B-cell lymphoproliferative disorder, n=1. Most cases ofcHL diagnosed as GZL had strong CD20 expression. Further, cHL-NS2 was often misdiagnosed as GZL usually due to confluent growth of lacunar cells. Clinically, therapy received and outcomes were available for 25 of 26 of the aforementioned consensus GZL cases; the overall response rate (ORR) for these consensus confirmed GZL cases was 64% (complete remission (CR) 48%) with 28% ofpts experiencing primary refractory disease to frontline therapy. Relapse rates by primary chemotherapy regimen for thesepts were: ABVD 5/6 (83%); CHOP 7/17 (41%); and EPOCH 1/2 (50%). Among consensus GZLpts with relapsed disease, 71% underwent autologous SCT. With a median follow-up of 40 months, the 3-year PFS was 44% with 3-year OS of 90% for the consensus GZL pts. Among all other cases that were reclassified to a non-GZL diagnostic entity, the ORR was 75% (CR 67%) with 3-year PFS and OS rates of 52% and 80%, respectively. This included a relapse rate of 86% amongpts with cHL-NS2. CONCLUSIONS: Accurate diagnosis of GZL remains challenging. Relative rarity of the cases and overlap withcHL, especially thecHL-NS variant with lymphocytic depletion and confluent lacunar cells (also known as cHL-NS2), contribute to this difficulty. Diagnosis should be based on integration of architectural, cytological andimmunophenotypic features. In addition, relapse rates are high with standard chemotherapy regimens, especially ABVD-based therapy. Enhanced biologic understanding and improved therapeutic strategies are needed for GZL. Disclosures Evens: Takeda: Other: Advisory board. Abramson:Abbvie: Consultancy; Gilead: Consultancy; Seattle Genetics: Consultancy; Kite Pharma: Consultancy. Fenske:Celgene: Honoraria; Millennium/Takeda: Research Funding; Pharmacyclics: Honoraria; Seatle Genetics: Honoraria. Friedberg:Bayer: Honoraria, Other: Data Safety Monitoring Board. Blum:Pharmacyclics: Research Funding.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e19073-e19073
Author(s):  
Talha Qaiser ◽  
Matthew Pugh ◽  
Sandra Margielewska ◽  
Robert Hollows ◽  
Paul Murray ◽  
...  

e19073 Background: Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous tumor that originates from normal B-cells. Despite the use of combination chemotherapy, around 40% of DLBCL patients die (de Jonge, et al. European Journal of Cancer, 2016). Limited studies have investigated the role of collagen in the acellular tumor microenvironment. In this study, we present a novel digital signature of the proximity of tumor cells and collagen-VI (COL6) that can predict overall survival (OS) in DLBCL patients. To the best of our knowledge, this is the first study of its kind to employ automated image analysis. Methods: The proposed digital proximity signature (DPS) aggregates summary-level statistics from the entire whole slide image (WSI) and serves as a marker of regions, categorizing weak, moderate, significant, and strong tumor-collagen proximity and can be described as a surrogate for signaling. To accomplish this, we developed a novel artificial intelligence (AI) based multi-task model for simultaneous detection and classification of tumor cells and another bespoke method for automatically identifying COL6 fiber. The tumor-collagen proximity analysis was then performed by aggregating tumor cell statistics within the vicinity of COL6 fibres. Finally, the prognostic significance of DPS for OS in DLBCL was investigated with Kaplan-Meier analysis, stratifying patients into two groups based on the median of the DPS values. Results: We took WSIs of DLBCL tissue slides for 32 cases immunohistochemically stained with COL6 and Hematoxylin counterstain. The AI model for tumor cell identification achieved a high F1-score of 0.84, outperforming recent single-task learning models. Our results show that strong proximity of COL6 and tumor cells is linked to better OS in DLBCL patients ( p = 0.03). Conclusions: Our novel digitally computed COL6-tumor proximity signature shows prognostic significance for overall survival on a pilot dataset of 32 DLBCL patients. We are further validating the utility of this novel signature as a prognostic biomarker in larger cohorts of DLBCL patients.


2017 ◽  
Vol 7 (12) ◽  
Author(s):  
Suvi-Katri Leivonen ◽  
Katherine Icay ◽  
Kirsi Jäntti ◽  
Ilari Siren ◽  
Chengyu Liu ◽  
...  

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 1575-1575
Author(s):  
Mamta Gupta ◽  
Matthew J Maurer ◽  
Linda Wellik ◽  
Mark E Law ◽  
Jing Jing Han ◽  
...  

Abstract Abstract 1575 We recently demonstrated in a phase II study that the anti-CD22 monoclonal antibody epratuzumab added to RCHOP improved DLBCL survival parameters. Despite these advances, 30–40% of DLBCL patients still relapse and die of disease. Recent advances have led to the identification of a variety of intracellular oncogenic pathways as potential targets for lymphoma therapy. Specifically, many studies have found that activation of the Signal transducer and activator of transcription 3 (STAT3) pathway promotes tumor cell survival in various types of cancers. STAT3 is a transcription factor and exerts its anti-apoptototic effect through several downstream targets such as MYC. MYC protein can be expressed in lymphoma cells with or without the presence of MYC translocation. The frequency of phosphorylated STAT3 (pSTAT3) and MYC expression and their prognostic relevance are unknown within diffuse large B-cell lymphoma (DLBCL), germinal center B-cell (GCB) and non-GCB subtypes. This study studied the tumor cell expression of pSTAT3 and MYC by IHC paired with serum cytokine levels in a DLBCL patient population uniformly treated on N0489. DLBCL tumor samples (n=38) were stained for detection of nuclear pSTAT3 expression. Using a threshold of ≥30% of tumor nuclei staining positive, 35 % (14/40) of tumors were pSTAT3+. An additional 17% (7/40) had between 10–30% pSTAT3+ cells. Non-malignant tonsil tissues (n=10) were positive for tSTAT3 in all cases but all but one case were pSTAT3 negative. Twenty-four of the same DLBCL tumors used for pSTAT3 expression were stained for MYC and 50% (12/24) were MYC positive (all nuclear) as defined by the criteria of ≥30% of cells staining positive. In cases (n=23) where both MYC and pSTAT3 IHC were performed, a positive pSTAT3 was more likely to have MYC expression whereas a positive MYC stain did not inform pSTAT3. By using a break apart probe for the MYC gene, MYC translocations in the major breakpoint regions were found in 10% (3/29) of cases. When MYC FISH was correlated with MYC IHC in the 24 DLBCL cases that had both techniques performed, all 3 MYC translocation cases were GCB by IHC, two were strongly positive for MYC by IHC, and 1 was negative. Among the 21 MYC FISH negative cases, 10 were MYC positive by IHC. These data suggest that MYC expression in lymphoma is not only controlled by genetic events such as translocations but also by other signaling pathways such as STAT3. pSTAT3 expression was correlated with an elevated serum LDH (p=0.0007). Neither MYC or pSTAT3 tumor expression correlated with other clinical or pathological features. Survival analysis revealed a trend toward shorter EFS for DLBCL patients whose tumors expressed MYC protein by IHC (p=0.2) or had a MYC translocation (p=0.09) by FISH; pSTAT3 expression status did not predict EFS (p=0.9). Within the GCB group 10 cases were MYC negative (10/17; 59%) and 7 cases were MYC positive (7/17; 41%). Among the non-GCB group 83% (5/6) were MYC positive. These data clearly suggest a trend of higher MYC positivity in the non-GCB DLBCL group (p=0.07). MYC positive cases had a clear trend of inferior EFS in both GCB (p=0.2) and in non-GCB (p=0.5) groups. The distribution of pSTAT3 (n=38) expression was also evaluated in the GCB (n=26) and non-GCB (n=12) DLBCL. In the GCB group 27% (7/26) were pSTAT3 positive compared to 58% (7/12) in the non-GCB group. Thus, there was a clear trend toward higher pSTAT3 positivity in non-GCB DLBCL tumors (p=0.06); however, pSTAT3 status did not correlate with EFS in either GCB or non-GCB DLBCL patients. In the present study we correlated pretreatment serum cytokines levels of these patients with pSTAT3 and MYC tumor cell expression. Out of the 30 cytokines tested, the only pre-treatment cytokines that were significantly correlated with pSTAT3 expression were IL-10 (p=0.05), G-CSF (p=0.03) and TNFa (p=0.04); none were correlated with MYC expression. Overall, our data provide evidence that over-expression of pSTAT3 and MYC is common in DLBCL. These biomarkers have potential as prognostic factors in the case of MYC and as a tool for selecting therapy for pSTAT3. MYC may be especially useful to further identify an adverse group of DLBCL patients within the otherwise favorable GCB tumor group. The availability of JAK/STAT and STAT-specific inhibitors provides the rationale to incorporate pSTAT3 staining in tumors from patients who are participating in these trials to learn if this biomarker can predict response Disclosures: No relevant conflicts of interest to declare.


2020 ◽  
Author(s):  
Chloe B. Steen ◽  
Bogdan Luca ◽  
Mohammad S. Esfahani ◽  
Barzin Y. Nabet ◽  
Brian Sworder ◽  
...  

2019 ◽  
Vol 9 ◽  
Author(s):  
Yi Miao ◽  
L. Jeffrey Medeiros ◽  
Zijun Y. Xu-Monette ◽  
Jianyong Li ◽  
Ken H. Young

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