2019
DOI: 10.1093/annonc/mdz386
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Dissection of DLBCL microenvironment provides a gene expression-based predictor of survival applicable to formalin-fixed paraffin-embedded tissue

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Cited by 40 publications
(66 citation statements)
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“…For CIBERSORT 18 analyses, we created a customized signature matrix as previously reported. 7 Briefly, we used GEP from 24 different purified cell types collected from published datasets, to generate a microenvironment matrix specific for DLBCL. 7 The customized signature featuring 990 genes characteristic of tumor samples of both ABC and GCB COO categories, immune cells and stromal compartment, was applied to the 137 DLBCLs from Chapuy et al 4 The 137 cases were divided into two groups according to the median value of SPARC transcript expression from quantile normalized and log2 transformed gene expression measurements.…”
Section: Gene Set Enrichment Analysis Hierarchical Clustering and Cmentioning
confidence: 99%
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“…For CIBERSORT 18 analyses, we created a customized signature matrix as previously reported. 7 Briefly, we used GEP from 24 different purified cell types collected from published datasets, to generate a microenvironment matrix specific for DLBCL. 7 The customized signature featuring 990 genes characteristic of tumor samples of both ABC and GCB COO categories, immune cells and stromal compartment, was applied to the 137 DLBCLs from Chapuy et al 4 The 137 cases were divided into two groups according to the median value of SPARC transcript expression from quantile normalized and log2 transformed gene expression measurements.…”
Section: Gene Set Enrichment Analysis Hierarchical Clustering and Cmentioning
confidence: 99%
“…[4][5] In the attempt to deconvolve the DLBCL complexity, the nature of associated stromal microenvironment has been investigated, revealing several layers of complexity in the stromal microenvironment, some of which associated with the COO, others providing further diversification. [6][7] From the seminal studies by the Staudt's group, a prognostic significance of the DLBCL-associated stromal microenvironment clearly emerged, which identified among the major determinants the matricellular protein SPARC, by the authors associated with tumor-infiltrating macrophages. 6,8 Indeed, SPARC consistently emerged as the fronting gene of prognostically relevant microenvironment-related signatures in DLBCL, [6][7]9 being low SPARC levels associated with poor prognosis in immuno-chemotherapy-treated DLBCL patients.…”
Section: Introductionmentioning
confidence: 99%
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“…2,3 Further, gene expression profiling studies have shown that expression signatures of non-malignant cells in the tumor microenvironment have strong impact on survival in patients with Hodgkin lymphoma, FL, and diffuse large B-cell lymphoma (DLBCL). [4][5][6] In addition, candidate gene and genome-wide studies have found associations between germline polymorphisms and survival in Hodgkin lymphoma, CLL, FL, DLBCL, and multiple myeloma. [7][8][9][10][11][12][13] If the survival of lymphoid malignancies is, at least in part, dependent on germline genetic variation and normal cell function, [2][3][4][5][6] a concordance in survival among first-degree relatives diagnosed with lymphoid malignancies would be expected.…”
Section: Introductionmentioning
confidence: 99%
“…Defective sparc expression has been functionally linked with the induction of an inflammatory IFN type I related signature in myeloid cells, while sparc overexpression has been associated with the preferential recruitment of myeloid cells with suppressive function in lymphoid, myeloid, and solid malignancies [10][11][12]. Interestingly, the relative ex-pression levels of SPARC have been shown to endorse a strong prognostic significance in DLBCL as part of a microenvironment signature [13][14]. The additional level of complexity induced by the topography of the stromal architecture may thus affect the biological activity of the associated immune microenvironment, also casting an influence over relevant molecular programs intrinsic to the malignant cells, such as mechanosensing and activation of DNA damage checkpoints that are conditioned by ECM stiffness [15].…”
mentioning
confidence: 99%