Dataset Information

Transformation of FL into DLBCL with a PMBL gene expression signature.

ABSTRACT: We investigated the clinicopathologic features of 5 follicular lymphomas (FLs) that transformed (tFL) morphologically to diffuse large B-cell lymphomas (DLBCLs) and had a primary mediastinal large B-cell lymphoma (PMBL)-like gene expression profile (tFL-PMBLsig-pos). None of the tFL-PMBLsig-pos cases arose in the mediastinum, all cases tested had a germinal center B-cell phenotype, 20% were CD30+, 60% CD23+, 80% MAL+, 20% CD200+, and 0% CD273/PDL2+. Whole-exome sequencing detected alterations in genes associated with both FL/DLBCL (CREBBP, KMT2C, KMT2D, ARID1A, HIST1 members, and TNFRSF14) and PMBL (JAK-STAT pathway genes, B2M, and CD58). Copy number (CN) analysis detected gains/amplification of REL and STAT6 in 60%, gains of SOCS1 in 40%, and gains of chromosome 16, including IL4R, in 40% of the cases. CN gains/amplification of BCL6 and MYC and loss of TNFRSF14 and TNFAIP3 were identified in 20% of the cases. Three of 5 cases lacked a BCL2 rearrangement. Despite having some features that are less common in DLBCL (MAL and CD23 expression and JAK-STAT activation), these tFL-PMBLsig-pos cases lack the most characteristic CN alteration seen in PMBL (9p24.1 gain/amplification). This cohort expands the biologic heterogeneity of tFL, illustrating a subset with gene expression and some genetic features reminiscent of PMBL, with potential treatment implications that include the use of novel targeted therapies.

SUBMITTER: Loveday T

PROVIDER: S-EPMC10025110 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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Transformation of FL into DLBCL with a PMBL gene expression signature.

Loveday Tristan T Duns Gerben G Rimsza Lisa M LM Rech Karen L KL Cook James R JR Robetorye Ryan S RS Rosenthal Allison C AC Ramsower Colleen A CA Yip Tameson K TK McKinney Catherine L CL Swerdlow Steven H SH Bhavsar Shweta S Steidl Christian C Gibson Sarah E SE

Blood advances 20230301 6

We investigated the clinicopathologic features of 5 follicular lymphomas (FLs) that transformed (tFL) morphologically to diffuse large B-cell lymphomas (DLBCLs) and had a primary mediastinal large B-cell lymphoma (PMBL)-like gene expression profile (tFL-PMBLsig-pos). None of the tFL-PMBLsig-pos cases arose in the mediastinum, all cases tested had a germinal center B-cell phenotype, 20% were CD30+, 60% CD23+, 80% MAL+, 20% CD200+, and 0% CD273/PDL2+. Whole-exome sequencing detected alterations in ...[more]

PMID: 36240289

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Project description:BackgroundDiffuse large B-cell lymphoma (DLBCL) is an aggressive malignancy. Neutrophil extracellular traps (NETs) are pathogen-trapping structures in the tumor microenvironment that affect DLBCL progression. However, the predictive function of NET-related genes (NRGs) in DLBCL has received little attention. This study aimed to investigate the interaction between NRGs and the prognosis of DLBCL as well as their possible association with the immunological microenvironment.MethodsThe gene expression and clinical data of patients with DLBCL were downloaded from the Gene Expression Omnibus database. We identified 148 NRGs through the manual collection of literature. GSE10846 (n = 400, GPL570) was used as the training dataset and divided into training and testing sets in a 7:3 ratio. Univariate Cox regression analysis was used to identify overall survival (OS)-related NETs, and the least absolute shrinkage and selection operator was used to evaluate the predictive efficacy of the NRGs. Kaplan-Meier plots were used to visualize survival functions. Receiver operating characteristic (ROC) curves were used to assess the prognostic predictive ability of NRG-based features. A nomogram containing the clinical information and prognostic scores of the patients was constructed using multivariate logistic regression and Cox proportional risk regression models.ResultsWe identified 36 NRGs that significantly affected patient overall survival (OS). Eight NRGs (PARVB, LYZ, PPARGC1A, HIF1A, SPP1, CDH1, S100A9, and CXCL2) were found to have excellent predictive potential for patient survival. For the 1-, 3-, and 5-year survival rates, the obtained areas under the receiver operating characteristic curve values were 0.8, 0.82, and 0.79, respectively. In the training set, patients in the high NRG risk group presented a poorer prognosis (p < 0.0001), which was validated using two external datasets (GSE11318 and GSE34171). The calibration curves of the nomogram showed that it had excellent predictive ability. Moreover, in vitro quantitative real-time PCR (qPCR) results showed that the mRNA expression levels of CXCL2, LYZ, and PARVB were significantly higher in the DLBCL group.ConclusionsWe developed a genetic risk model based on NRGs to predict the prognosis of patients with DLBCL, which may assist in the selection of treatment drugs for these patients.

Project description:We treated 6-8 week old mice that had floxed alleles of both Apc and Pten (for both alleles in each case) that also carry an Ovgp1-iCre-ERT2 transgene, with one of two treatments; a third group received neither treatment. The Ovgp1-iCre-ERT2 expresses Cre recombinase fused to a tamoxifen-inducible fragment of the estrogen receptor, in tissues where the Ovgp1 gene (oviductal glycoprotein 1) is expressed, which is almost exclusively in mouse oviductal epithelium (equivalent to human fallopian tube epithelium = FTE). Treating the mice with tamoxifen permits the Cre recombinase to enter the cell nucleus and inactivate the Apc and Pten genes. Six of the mice were treated with intraperitoneal injection of tamoxifen (0.1g/kg of body weight) dissolved in corn oil on days 1 and 3 and developed oviductal tumors (OdT) yielding 6 of the samples. Four mice (yielding 5 samples) were instead injected with 50 million plaque-forming units of replication-incompetent AdCre into both ovarian bursal cavities on day 1, which inactivated Apc and Pten in the ovarian surface epithelium (OSE), and lead to ovarian tumors (OT). Ovaries were also harvested from four untreated 6-8 week old mice with the same genotype, with two ovaries from each mouse comprising one control sample. RNA was purified from tumor or normal tissue, and targets for Affymetrix arrays synthesized from the mRNAs. We used Affymetrix Mouse Gene 2.1 ST arrays, which hold 41345 probe-sets, but we largely analyzed just those 25216 probe-sets that were mapped to Entrez gene IDs. Raw data was processed with Robust Multi-array Average algorithm (RMA). Data is log2-transformed transcript abundance estimates. We fit a one-way ANOVA model to the three groups of samples. We supply a supplementary excel workbook that holds the same data as the data matrix file, but also holds the probe-set annotation at the time we analyzed the data, and some simple statistical calculations, which select subsets of the probe-sets as differentially expressed. Consumers should consider obtaining more up-to-date probe-set annotation for the array platform. We also provide supplementary excel files that show our simple analysis of GSE6008, which consists of 99 human ovarian tumor samples of 4 types, and 4 normal ovary samples, where we fit an ANOVA model to the 5 groups. In yet another supplementary file we show the correlation between each human tumor and mouse tumor, where we correlate the difference in log2-transformed values of each tumor from the average of the normals for the same species, for just those genes that were 1-to-1 best homologs according to build 68 of NCBI's Homologene, in order to see how much the human tumors resemble the mouse tumors. Six oviductal tumor samples from 6 mice with conditional knockout of Apc and Pten driven by an Ovgp1-iCre-ERT2 transgene , 5 ovarian tumor samples from 4 mice with conditional knockout of Apc and Pten driven by injection of AdCre into both ovarian bursal cavities, and 4 normal ovary samples from 4 mice.

Dataset Information

Transformation of FL into DLBCL with a PMBL gene expression signature.

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Transformation of FL into DLBCL with a PMBL gene expression signature.

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