Monica Varun Tyagi’s research while affiliated with Stanford University and other places

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Publications (4)


Probability of positive genetic testing in patients diagnosed with pheochromocytoma and paraganglioma: Criteria beyond a family history
  • Article

October 2020

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15 Reads

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2 Citations

Surgery

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Sabrine Ammar

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Monica Tyagi

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[...]

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Electron Kebebew

Background: Genetic testing for germline pheochromocytoma and paraganglioma susceptibility genes is associated with improved patient management. However, data are currently sparse on the probability of a positive testing result based on an individual's clinical presentation. This study evaluates clinical characteristics for association with testing positive for known pheochromocytoma and paraganglioma susceptibility genes. Methods: This retrospective analysis examined 111 patients with a diagnosis of pheochromocytoma and paraganglioma who underwent genetic testing. Logistic regression and receiver operating characteristic analyses were performed to identify factors associated with a positive genetic testing result. Probabilities were then calculated for combinations of significant factors to determine the likelihood of a positive test result in each group. Results: Of 32 patients with a family history of pheochromocytoma and paraganglioma, 31 (97%) had a germline mutation detected. Of 79 patients without a family history, 24 (30%) had a pathogenic germline mutation detected. In multivariate analysis, a positive family history, aged ≤47 years, and tumor size ≤2.9 cm were independent factors associated with a positive genetic testing result. Patients meeting all 3 criteria had a 100% probability compared with 13% in those without any of the criteria. In addition to a positive family history, having either aged ≤47 years or tumor size ≤2.9 cm resulted in a 90% and 100% probability of a positive result, respectively. In the absence of a family history, the probability in patients who were aged ≤47 years and had a tumor size ≤2.9 cm was 60%. Conclusion: In addition to a family history of pheochromocytoma and paraganglioma, aged ≤47 years, and tumor size ≤2.9 cm are associated with a higher probability of testing positive for a pheochromocytoma and paraganglioma susceptibility gene mutation. Patients meeting all 3 criteria have a 100% probability of a positive genetic testing result.


Figure 1: APOBEC3B expression in adrenocortical carcinoma. (A) TaqMan quantitative real-time PCR of APOBEC3B in
Figure 2: Knockdown of APOBEC3B reduces cell proliferation and induces S phase arrest. Knockdown of APOBEC3B gene expression over time using two siRNAs targeting (A3Bsi1, A3Bsi2) both isoforms in BD140A (A) and H295R (B) cell lines by TaqMan quantitative real-time PCR. Percentage expression has been normalized to scrambled siRNA which was used as a negative control. The cell proliferation growth curve after transient transfection of two siRNAs in BD140A (C) and H295R (D) cell lines as measured by CyQuant assay. * P < 0.05; *** P < 0.001. Cell cycle analysis in BD140A (E) and H295R (F) cell lines after transient knockdown of APOBEC3B for 72 hours. The proportion of cells in each phase is represented as a percentage next to their corresponding peaks.
Figure 3: APOBEC3B is associated with DNA double stranded breaks and TP53 mutations. (A) Representative coimmunofluorescent staining images of APOBEC3B and γH2AX in normal, benign adrenocortical tumors and adrenocortical carcinoma. DAPI was used to stain the cell nuclei as a reference. (magnification, 40×) (B) The table represents the list and type of mutations within the TP53 gene that was screened in adrenocortical tumors using Sanger DNA sequencing. (C) The adrenocortical tumors were stratified into two groups (high and low expression levels) based on the median gene expression level of APOBEC3B and the average number of observed TP53 mutations in each patient was represented. The y-axis represents the sequencing data obtained from both forward and reverse strands for a given mutation. Error bar represents the standard error mean (SEM).
Figure 4: APOBEC3B expression is associated with copy number alterations. (A) Genome-wide CGH array representing cumulative copy number gain or loss for all chromosomes in adrenocortical carcinoma samples were dichotomized by the median gene expression level of APOBEC3B in the tumor samples. Red indicates the copy number loss while blue represents the copy number gain in a given chromosome. The columns represent each chromosome. Overall patient survival dichotomized based on the median gene expression level of APOBEC3B from two publicly available datasets; E-TABM-311 (B), GSE19776, (C) our cohort, (D) and the TCGA adrenocortical cancer data (E).
Figure 5: APOBEC3B gene expression is regulated by GATA3. (A) APOBEC3B gene expression (log2 fold change) analyzed in a functional screen of 92 cancer-associated transcription factors. (B) Independent validation of four candidates by TaqMan gene expression in H295R cells. Luciferase reporter assay under the control of APOBEC3B gene promoter after transient knockdown of GATA3 transcription factor with two different siRNAs in BD140A (C) and H295R (D) cell lines. (E) Overall patient survival dichotomized based on the median gene expression level of GATA3 from the TCGA adrenocortical cancer dataset.

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GATA3 and APOBEC3B are prognostic markers in adrenocortical carcinoma and APOBEC3B is directly transcriptionally regulated by GATA3
  • Article
  • Full-text available

September 2020

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124 Reads

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9 Citations

Oncotarget

Recent evidence has implicated APOBEC3B (Apolipoprotein B mRNA editing enzyme catalytic subunit 3B) as a source of mutations in breast, bladder, cervical, lung, head, and neck cancers. However, the role of APOBEC3B in adrenocortical carcinoma (ACC) and the mechanisms through which its expression is regulated in cancer are not fully understood. Here, we report that APOBEC3B is overexpressed in ACC and it regulates cell proliferation by inducing S phase arrest. We show high APOBEC3B expression is associated with a higher copy number gain/loss at chromosome 4 and 8 and TP53 mutation rate in ACC. GATA3 was identified as a positive regulator of APOBEC3B expression and directly binds the APOBEC3B promoter region. Both GATA3 and APOBEC3B expression levels were associated with patient survival. Our study provides novel insights into the function and regulation of APOBEC3B expression in addition to its known mutagenic ability.

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Selection of the study population.
Demographic and clinical characteristics of the study cohort.
Selectivity index results in 76 patients with and without adrenocorticotropic hormone (ACTH) stimulation.
Lateralization index results in 76 patients with and without adrenocorticotropic hormone (ACTH) stimulation.
Lateralization index comparison in 76 patients with and without adrenocorticotropic hormone (ACTH) stimulation.
Adrenal Vein Sampling to Distinguish Between Unilateral and Bilateral Primary Hyperaldosteronism: To ACTH Stimulate or Not?

May 2020

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279 Reads

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12 Citations

The aim of this study is to determine the accuracy of adrenal vein sampling (AVS) with and without adrenocorticotropic hormone (ACTH) stimulation to distinguish between unilateral and bilateral primary hyperaldosteronism (PA). Retrospective analysis of a prospective database from a referral center between 1984 and 2009, 76 patients had simultaneous cannulation of bilateral adrenal veins and AVS with and without ACTH stimulation. All patients had adrenalectomies. The selectivity index (SI, cut-off value ≥2) was used for confirmation of successful cannulation of the adrenal vein. The lateralization index (LI, cut-off value >2 and >4) was used for distinguishing between unilateral and bilateral PA. The SI ratio was higher with ACTH stimulation compared to without for the right adrenal vein (p = 0.027). The LI >2 ratio was higher with ACTH stimulation compared to without (p = 0.007). For the LI >4 ratio, there was no difference between with and without ACTH stimulation (p = 0.239). However, for a LI >4, 7 patients (9.2%) were not lateralized with ACTH stimulation, but they did lateralize without ACTH stimulation. AVS with ACTH stimulation is associated with a higher SI ratio compared to AVS without ACTH stimulation. However, when using LI >4 for AVS, samples without ACTH stimulation should also be included to detect a subset of patients with unilateral disease that are not detected with ACTH stimulation.


(A) Heatmap of an unsupervised cluster analysis based on methylation M values for the top 5000 most variable methylated probes. The sporadic and MEN1‐related tumors clustered together, and the VHL‐related nonfunctioning pancreatic neuroendocrine tumors clustered separately. (B) Differentially methylated probes by genomic regions of CpG sites. For each group, the upper and lower panels represent hypermethylation and hypomethylation, respectively; the y‐axis represents the dM value versus normal pancreatic islet cells; and the blue line represents the mean of dM, with the gray area representing the standard deviation. dM indicates delta M; MEN1, multiple endocrine neoplasia type 1; VHL, von Hippel‐Lindau.
TABLE 2 . Gene Enhancers With a Significantly Different Methylation Status in Nonfunctioning Pancreatic Neuroendocrine Tumors
Pathway analysis based on the differentially methylated probe analysis: (A) VHL and (B) MEN1. For each group, the 15 most enriched pathways are shown. GTPase indicates guanosine triphosphatase; DCC, deleted in colon cancer; HIV‐1, human immunodeficiency virus 1; MAPK, mitogen‐activated protein kinase; MEN1, multiple endocrine neoplasia type 1; PIP2, pophatidylinositol‐4,5‐bisphosphate; RUNX1, runt‐related transcription factor 1; VEGF, vascular endothelial growth factor; VEGFR2, vascular endothelial growth factor receptor 2; VHL, von Hippel‐Lindau.
(A) Number of overlapping genes with hypermethylation (left) and hypomethylation (right) between sporadic, VHL, and MEN1 NFPanNETs and (B) gene expression differences in NFPanNETs versus normal islet cells in the different groups in significantly hypermethylated and hypomethylated genes (left and right in each group, respectively) in a differentially methylated region analysis. The colors indicate upregulation (blue) or downregulation (red) of gene expression. MEN1 indicates multiple endocrine neoplasia type 1; NFPanNET, nonfunctioning pancreatic neuroendocrine tumor; VHL, von Hippel‐Lindau.
Gene promoter hypermethylation in (A) sporadic NFPanNETs (SFRP5) and (B,C) MEN1 NFPanNETs (CDCA7L and RBM47, respectively) in comparison with normal islet cells. The methylation status of the genes was inversely associated with differential gene expression. CDCA7L indicates cell division cycle–associated 7‐like; MEN1, multiple endocrine neoplasia type 1; NFPanNET, nonfunctioning pancreatic neuroendocrine tumor; RBM47, RNA binding motif 47; SFRP5, secreted frizzle‐related protein 5.
Distinct genome‐wide methylation patterns in sporadic and hereditary nonfunctioning pancreatic neuroendocrine tumors

January 2019

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153 Reads

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39 Citations

Background Aberrant methylation is a known cause of cancer initiation and/or progression. There are scant data on the genome‐wide methylation pattern of nonfunctioning pancreatic neuroendocrine tumors (NFPanNETs) and sporadic and hereditary NFPanNETs. Methods Thirty‐three tissue samples were analyzed: they included samples from sporadic (n = 9), von Hippel‐Lindau (VHL)‐related (n = 10), and multiple endocrine neoplasia type 1 (MEN1)–related NFPanNETs (n = 10) as well as normal islet cells (n = 4) for comparison. Genome‐wide CpG methylation profiling was performed with the Infinium MethylationEPIC BeadChip assay and was analyzed with R‐based tools. Results In unsupervised hierarchical clustering, sporadic and MEN1‐related NFPanNETs clustered together, and the VHL group was in a separate cluster. MEN1‐related NFPanNETs had a higher rate of hypermethylated CpG sites in comparison with sporadic and VHL‐related tumor groups. Differentially methylated region analysis confirmed the higher rate of hypermethylation in MEN1‐related tumors. Moreover, in an integrated analysis of gene expression data for the same tumor samples, downregulated gene expression was found in most genes that were hypermethylated. In a CpG island methylator phenotype analysis, 3 genes were identified and confirmed to have downregulated gene expression: secreted frizzle‐related protein 5 (SFRP5) in sporadic NFPanNETs and cell division cycle–associated 7‐like (CDCA7L) and RNA binding motif 47 (RBM47) in MEN1‐related NFPanNETs. Conclusions MEN1 NFPanNETs have a higher rate of geno me‐wide hypermethylation than other NFPanNET subtypes. The similarity between the pathways enriched in a methylation analysis of known genes involved in NFPanNET tumorigenesis suggests a key role for aberrant methylation in the pathogenesis of NFPanNETs.

Citations (3)


... 17 APOBEC3B and APOBEC3 signature mutations have also been shown to be upregulated in human cancers. [18][19][20][21] We have previously shown that expression of human APOBEC3B drives resistance to several tumor immunotherapies. One such Molecular Therapy: Oncology therapy that APOBEC3B mediates escape from and resistance to is oncolytic vesicular stomatitis virus (VSV) therapy, 22 which is mediated by a mutation in the RNA-binding cold-shock domain containing E1 protein, a regulator of RNA translation. ...

Reference:

APOBEC3B Expression in 293T Lentiviral Producer Cells Drives Mutations in Chimeric Antigen Receptors and Reduces CAR T Cell Efficacy
GATA3 and APOBEC3B are prognostic markers in adrenocortical carcinoma and APOBEC3B is directly transcriptionally regulated by GATA3

Oncotarget

... The AVS procedure was performed under adrenocorticotropic hormone stimulation [22] . Samples from the right and left adrenal vein and inferior vena cava were drawn twice or three times. ...

Adrenal Vein Sampling to Distinguish Between Unilateral and Bilateral Primary Hyperaldosteronism: To ACTH Stimulate or Not?

... Despite improvements in prognostic grading and staging systems, the prediction of clinical behavior and response to specific therapies remains a challenge. DNA methylation is essential for tumorigenesis and could contribute to the identification of PanNET subgroups, and these subgroups could potentially be associated with clinical features [136][137][138]. A deeper understanding of the molecular mechanisms leading to the development of PanNETs is needed. ...

Distinct genome‐wide methylation patterns in sporadic and hereditary nonfunctioning pancreatic neuroendocrine tumors