Vivekanand Yadav

Dr. Vivekanand Yadav

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
11 August 2023 in Cancer Discovery
Verified
Journal Article
Open access
PDF file
SVSriram Venneti
Sriram Venneti
AKAbed Rahman Kawakibi
Abed Rahman Kawakibi
SJSunjong Ji
Sunjong Ji
SWSebastian M. Waszak
Sebastian M. Waszak
SSStefan R. Sweha
Stefan R. Sweha
CKCarl Koschmann
Carl Koschmann
Patients with H3K27M-mutant diffuse midline glioma (DMG) have no proven effective therapies. ONC201 has recently demonstrated efficacy in these patients, but the mechanism behind this finding remains unknown. We assessed clinical outcomes, tumor sequencing, and tissue/cerebrospinal fluid (CSF) correlate samples from patients treated in two completed multisite clinical studies. Patients treated with ONC201 following initial radiation but prior to recurrence demonstrated a median overall survival of 21.7 months, whereas those treated after recurrence had a median overall survival of 9.3 months. Radiographic response was associated with increased expression of key tricarboxylic acid cycle–related genes in baseline tumor sequencing. ONC201 treatment increased 2-hydroxyglutarate levels in cultured H3K27M-DMG cells and patient CSF samples. This corresponded with increases in repressive H3K27me3 in vitro and in human tumors accompanied by epigenetic downregulation of cell cycle regulation and neuroglial differentiation genes. Overall, ONC201 demonstrates efficacy in H3K27M-DMG by disrupting integrated metabolic and epigenetic pathways and reversing pathognomonic H3K27me3 reduction. Significance: The clinical, radiographic, and molecular analyses included in this study demonstrate the efficacy of ONC201 in H3K27M-mutant DMG and support ONC201 as the first monotherapy to improve outcomes in H3K27M-mutant DMG beyond radiation. Mechanistically, ONC201 disrupts integrated metabolic and epigenetic pathways and reverses pathognomonic H3K27me3 reduction. This article is featured in Selected Articles from This Issue, p. 2293

1 August 2022 in Frontiers in Oncology
Verified
Journal Article
Open access
KSKallen Schwark
Kallen Schwark
DMDana Messinger
Dana Messinger
JCJessica R. Cummings
Jessica R. Cummings
JBJoshua Bradin
Joshua Bradin
AKAbed Kawakibi
Abed Kawakibi
VYVivekanand Yadav
Vivekanand Yadav
Pediatric high-grade glioma (pHGG), including both diffuse midline glioma (DMG) and non-midline tumors, continues to be one of the deadliest oncologic diagnoses (both henceforth referred to as “pHGG”). Targeted therapy options aimed at key oncogenic receptor tyrosine kinase (RTK) drivers using small-molecule RTK inhibitors has been extensively studied, but the absence of proper in vivo modeling that recapitulate pHGG biology has historically been a research challenge. Thankfully, there have been many recent advances in animal modeling, including Cre-inducible transgenic models, as well as intra-uterine electroporation (IUE) models, which closely recapitulate the salient features of human pHGG tumors. Over 20% of pHGG have been found in sequencing studies to have alterations in platelet derived growth factor-alpha (PDGFRA), making growth factor modeling and inhibition via targeted tyrosine kinases a rich vein of interest. With commonly found alterations in other growth factors, including FGFR, EGFR, VEGFR as well as RET, MET, and ALK, it is necessary to model those receptors, as well. Here we review the recent advances in murine modeling and precision targeting of the most important RTKs in their clinical context. We additionally provide a review of current work in the field with several small molecule RTK inhibitors used in pre-clinical or clinical settings for treatment of pHGG.

2 July 2025 in Cancers
Verified
Journal Article
Open access
PDF file
SFSyed M. Faisal
Syed M. Faisal
MYMonika Yadav
Monika Yadav
GGGarrett Gibson
Garrett Gibson
AKAdora T. Klinestiver
Adora T. Klinestiver
RSRyan Sorenson
Ryan Sorenson
VYVivekanand Yadav
Vivekanand Yadav
Pediatric high-grade gliomas (pHGGs), particularly diffuse midline gliomas (DMGs), are among the most lethal brain tumors due to poor survival and resistance to therapies. DMGs possess a distinct genetic profile, primarily driven by hallmark mutations such as H3K27M, ACVR1, and PDGFRA mutations/amplifications and TP53 inactivation, all of which contribute to tumor biology and therapeutic resistance. Developing physiologically relevant preclinical models that replicate both tumor biology and the tumor microenvironment (TME) is critical for advancing effective treatments. This review highlights recent progress in in vitro, ex vivo, and in vivo models, including patient-derived brain organoids, genetically engineered mouse models (GEMMs), and region-specific midline organoids incorporating SHH, BMP, and FGF2/8/19 signaling to model pontine gliomas. Key genetic alterations can now be introduced using lipofectamine-mediated transfection, PiggyBac plasmid systems, and CRISPR-Cas9, allowing the precise study of tumor initiation, progression, and therapy resistance. These models enable the investigation of TME interactions, including immune responses, neuronal infiltration, and therapeutic vulnerabilities. Future advancements involve developing immune-competent organoids, integrating vascularized networks, and applying multi-omics platforms like single-cell RNA sequencing and spatial transcriptomics to dissect tumor heterogeneity and lineage-specific vulnerabilities. These innovative approaches aim to enhance drug screening, identify new therapeutic targets, and accelerate personalized treatments for pediatric gliomas.

14 July 2026 in Molecular Cancer Therapeutics
Verified
Journal Article
Closed access
EPErik R Peterson
Erik R Peterson
LPLeslie A Parsels
Leslie A Parsels
ZLZian Li
Zian Li
XZXinyi Zhao
Xinyi Zhao
LHLuke D Hess
Luke D Hess
MMMeredith A Morgan
Meredith A Morgan
H3K27-altered diffuse midline glioma (DMG) is an aggressive and treatment-resistant form of pediatric high-grade glioma (pHGG). The disease is defined by point mutations in histone H3 that convert lysine 27 to methionine (termed H3K27M), resulting in genome-wide epigenetic changes that drive tumorigenesis. While radiation therapy is the standard of care, subsequent recurrence, often within the high dose radiation field, is universal. We found that the apical DNA damage response kinase Ataxia Telangiectasia-Mutated (ATM) was uniquely upregulated in H3K27Mexpressing patient tumor samples compared to pHGG expressing only wild type histone H3. Using a panel of H3K27 isogenic cell lines, we further found that H3K27M was associated with reduced H3K27me3 within the ATM promoter, increased ATM mRNA levels, and elevated DNA damage response (DDR) signaling, even in the absence of radiation-induced DNA damage. In assessing the effect of these changes on the ability of AZD1390, a clinical-grade, CNS-penetrant ATM inhibitor, to sensitize cells to radiation, we found that while exogenous expression of H3K27M conferred preferential radiosensitization by AZD1390, CRISPR/Cas9 deletion of H3K27M did not attenuate the efficacy of AZD1390 in patient derived DMG cell lines. Finally, AZD1390 sensitized orthotopic H3K27M mutant tumors to radiotherapy in both immune deficient and syngeneic immune competent hosts with minimal adverse effects. Taken together, these data provide a direct mechanistic link between the H3K27M mutation and ATM expression and support the recently initiated clinical investigation of AZD1390 with radiotherapy in newly diagnosed pHGG.

16 September 2024
Verified
Other
Open access
SVSriram Venneti
Sriram Venneti
AKAbed Rahman Kawakibi
Abed Rahman Kawakibi
SJSunjong Ji
Sunjong Ji
SWSebastian M. Waszak
Sebastian M. Waszak
SSStefan R. Sweha
Stefan R. Sweha
CKCarl Koschmann
Carl Koschmann
Individual patients with H3K27M-mutant DMG treated with ONC201.

16 September 2024
Verified
Other
Open access
SVSriram Venneti
Sriram Venneti
AKAbed Rahman Kawakibi
Abed Rahman Kawakibi
SJSunjong Ji
Sunjong Ji
SWSebastian M. Waszak
Sebastian M. Waszak
SSStefan R. Sweha
Stefan R. Sweha
CKCarl Koschmann
Carl Koschmann
Individual cases from historical control datasets.