scholarly journals CD30 expression defines a novel subgroup of diffuse large B-cell lymphoma with favorable prognosis and distinct gene expression signature: a report from the International DLBCL Rituximab-CHOP Consortium Program Study

Blood ◽  
2013 ◽  
Vol 121 (14) ◽  
pp. 2715-2724 ◽  
Author(s):  
Shimin Hu ◽  
Zijun Y. Xu-Monette ◽  
Aarthi Balasubramanyam ◽  
Ganiraju C. Manyam ◽  
Carlo Visco ◽  
...  

Key Points CD30 expression defines a novel and unique subgroup of DLBCL with favorable clinical outcome and distinct gene expression signature.

Blood ◽  
2014 ◽  
Vol 123 (8) ◽  
pp. 1214-1217 ◽  
Author(s):  
David W. Scott ◽  
George W. Wright ◽  
P. Mickey Williams ◽  
Chih-Jian Lih ◽  
William Walsh ◽  
...  

Key Points A 20-gene gene expression-based assay accurately and robustly assigns COO subtypes of DLBCL using formalin-fixed paraffin-embedded tissue.


Oncology ◽  
2008 ◽  
Vol 75 (1-2) ◽  
pp. 71-80 ◽  
Author(s):  
Zeenath Jehan ◽  
Abdul K. Siraj ◽  
Jehad Abubaker ◽  
Christian Ruiz ◽  
Ronald Simon ◽  
...  

2019 ◽  
Vol 37 (3) ◽  
pp. 190-201 ◽  
Author(s):  
Daisuke Ennishi ◽  
Aixiang Jiang ◽  
Merrill Boyle ◽  
Brett Collinge ◽  
Bruno M. Grande ◽  
...  

Purpose High-grade B-cell lymphoma with MYC and BCL2 and/or BCL6 rearrangements (HGBL-DH/TH) has a poor outcome after standard chemoimmunotherapy. We sought to understand the biologic underpinnings of HGBL-DH/TH with BCL2 rearrangements (HGBL-DH/TH- BCL2) and diffuse large B-cell lymphoma (DLBCL) morphology through examination of gene expression. Patients and Methods We analyzed RNA sequencing data from 157 de novo germinal center B-cell-like (GCB)-DLBCLs, including 25 with HGBL-DH/TH- BCL2, to define a gene expression signature that distinguishes HGBL-DH/TH- BCL2 from other GCB-DLBCLs. To assess the genetic, molecular, and phenotypic features associated with this signature, we analyzed targeted resequencing, whole-exome sequencing, RNA sequencing, and immunohistochemistry data. Results We developed a 104-gene double-hit signature (DHITsig) that assigned 27% of GCB-DLBCLs to the DHITsig-positive group, with only one half harboring MYC and BCL2 rearrangements (HGBL-DH/TH- BCL2). DHITsig-positive patients had inferior outcomes after rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone immunochemotherapy compared with DHITsig-negative patients (5-year time to progression rate, 57% and 81%, respectively; P < .001), irrespective of HGBL-DH/TH- BCL2 status. The prognostic value of DHITsig was confirmed in an independent validation cohort. DHITsig-positive tumors are biologically characterized by a putative non–light zone germinal center cell of origin and a distinct mutational landscape that comprises genes associated with chromatin modification. A new NanoString assay (DLBCL90) recapitulated the prognostic significance and RNA sequencing assignments. Validating the association with HGBL-DH/TH- BCL2, 11 of 25 DHITsig-positive–transformed follicular lymphomas were classified as HGBL-DH/TH- BCL2 compared with zero of 50 in the DHITsig-negative group. Furthermore, the DHITsig was shared with the majority of B-cell lymphomas with high-grade morphology tested. Conclusion We have defined a clinically and biologically distinct subgroup of tumors within GCB-DLBCL characterized by a gene expression signature of HGBL-DH/TH- BCL2. This knowledge has been translated into an assay applicable to routinely available biopsy samples, which enables exploration of its utility to guide patient management.


Blood ◽  
2013 ◽  
Vol 121 (20) ◽  
pp. 4021-4031 ◽  
Author(s):  
Shimin Hu ◽  
Zijun Y. Xu-Monette ◽  
Alexander Tzankov ◽  
Tina Green ◽  
Lin Wu ◽  
...  

Key Points DLBCL patients with MYC/BCL2 coexpression demonstrate inferior prognosis and high-risk gene expression signatures.


2018 ◽  
Author(s):  
Murodzhon Akhmedov ◽  
Luca Galbusera ◽  
Roberto Montemanni ◽  
Francesco Bertoni ◽  
Ivo Kwee

ABSTRACTBackground:With the explosion of high-throughput data available in biology, the bottleneck is shifted to effective data interpretation. By taking advantage of the available data, it is possible to identify the biomarkers and signatures to distinguish subtypes of a specific cancer in the context of clinical trials. This requires sophisticated methods to retrieve the information out of the data, and various algorithms have been recently devised.Results:Here, we applied the prize-collecting Steiner tree (PCST) approach to obtain a gene expression signature for the classification of diffuse large B-cell lymphoma (DLBCL). The PCST is a network-based approach to capture new insights about genomic data by incorporating an interaction network landscape. Moreover, we adopted the ElasticNet incorporating PCA as a classification method. We used seven public gene expression profiling datasets (three for training, and four for testing) available in the literature, and obtained 10 genes as signature. We tested these genes by employing ElasticNet, and compared the performance with the DAC algorithm as current golden standard. The performance of the PCST signature with ElasticNet outperformed the DAC in distinguishing the subtypes. In addition, the gene expression signature was able to accurately stratify DLBCL patients on survival data.Conclusions:We developed a network-based optimization technique that performs unbiased signature selection by integrating genomic data with biological networks. Our classifier trained with the obtained signature outperformed the state-of-the-art method in subtype distinction and survival data stratification in DLBCL. The proposed method is a general approach that can be applied on other classification problems.


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