Sunjong Ji

Mr. Sunjong Ji

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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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

27 February 2023 in The Oncologist
Verified
Journal Article
Open access
PDF file
NPNirosha D Perera
Nirosha D Perera
TBTiffany R Bellomo
Tiffany R Bellomo
WSWalker M Schmidt
Walker M Schmidt
HLHenry K Litt
Henry K Litt
MSMargaret Shyu
Margaret Shyu
AMAmit Mahipal
Amit Mahipal
Female underrepresentation in oncology clinical trials can result in outcome disparities. We evaluated female participant representation in US oncology trials by intervention type, cancer site, and funding. Data were extracted from the publicly available Aggregate Analysis of ClinicalTrials.gov database. Initially, 270,172 studies were identified. Following the exclusion of trials using Medical Subject Heading terms, manual review, those with incomplete status, non-US location, sex-specific organ cancers, or lacking participant sex data, 1650 trials consisting of 240,776 participants remained. The primary outcome was participation to prevalence ratio (PPR): percent females among trial participants divided by percent females in the disease population per US Surveillance, Epidemiology, and End Results Program data. PPRs of 0.8-1.2 reflect proportional female representation. Females represented 46.9% of participants (95% CI, 45.4-48.4); mean PPR for all trials was 0.912. Females were underrepresented in surgical (PPR 0.74) and other invasive (PPR 0.69) oncology trials. Among cancer sites, females were underrepresented in bladder (odds ratio [OR] 0.48, 95% CI 0.26-0.91, P = .02), head/neck (OR 0.44, 95% CI 0.29-0.68, P < .01), stomach (OR 0.40, 95% CI 0.23-0.70, P < .01), and esophageal (OR 0.40 95% CI 0.22-0.74, P < .01) trials. Hematologic (OR 1.78, 95% CI 1.09-1.82, P < .01) and pancreatic (OR 2.18, 95% CI 1.46-3.26, P < .01) trials had higher odds of proportional female representation. Industry-funded trials had greater odds of proportional female representation (OR 1.41, 95% CI 1.09-1.82, P = .01) than US government and academic-funded trials. Stakeholders should look to hematologic, pancreatic, and industry-funded cancer trials as exemplars of female participant representation and consider female representation when interpreting trial results.

19 October 2025 in Bioengineering
Verified
Journal Article
Open access
PDF file
ATArushi Tripathy
Arushi Tripathy
SJSunjong Ji
Sunjong Ji
HSHabib Serhan
Habib Serhan
RRReka Raghunathan
Reka Raghunathan
SSSafiulla Basha Syed
Safiulla Basha Syed
WAWajd N. Al-Holou
Wajd N. Al-Holou
High-grade gliomas (HGGs) are aggressive brain tumors with limited treatment options and poor survival outcomes. Variants including isocitrate dehydrogenase (IDH)-wildtype, IDH-mutant, and histone 3 lysine to methionine substitution (H3K27M)-mutant subtypes demonstrate considerable tumor heterogeneity at the genetic, cellular, and microenvironmental levels. This presents a major barrier to the development of reliable models that recapitulate tumor heterogeneity, allowing for the development of effective therapies. Glioma tumor organoids (GTOs) have emerged as a promising model, offering a balance between biological relevance and practical scalability for precision medicine. In this study, we present a refined methodology for generating three-dimensional, multiregional, patient-derived GTOs across a spectrum of glioma subtypes (including primary and recurrent tumors) while preserving the transcriptomic and phenotypic heterogeneity of their source tumors. We demonstrate the feasibility of a high-throughput drug-screening platform to nominate multi-drug regimens, finding marked variability in drug response, not only between patients and tumor types, but also across regions within the tumor. These findings underscore the critical impact of spatial heterogeneity on therapeutic sensitivity and suggest that multiregional sampling is critical for adequate glioma model development and drug discovery. Finally, regional differential drug responses suggest that multi-agent drug therapy may provide better comprehensive oncologic control and highlight the potential of multiregional GTOs as a clinically actionable tool for personalized treatment strategies in HGG.

9 September 2024 in Computers in Biology and Medicine
Verified
Journal Article
Open access
SKSanthoshi N. Krishnan
Santhoshi N. Krishnan
SJSunjong Ji
Sunjong Ji
AEAhmed M. Elhossiny
Ahmed M. Elhossiny
ARAchyutha Rao
Achyutha Rao
TFTimothy L. Frankel
Timothy L. Frankel
ARArvind Rao
Arvind Rao
The increasing availability of patient-derived multimodal biological data for various diseases has opened up avenues for finding the optimal methods for jointly leveraging the information extracted in a customizable and scalable manner. Here, we propose the Proximogram, a graph-based representation that provides a joint construct for embedding independently obtained omics and spatial data. To evaluate the representation, we generated proximograms from 2 distinct biological sources, namely, multiplexed immunofluorescence images and single-cell RNA-seq data obtained from patients across two pancreatic diseases that include normal and chronic Pancreatitis (CP) and pancreatic ductal adenocarcinoma (PDAC). The generated proximograms were used as inputs to 2 distinct graph deep-learning models. The improved classification results over simpler spatial-data-based input graphs point to the increased discriminatory power obtained by integrating structural information from single-cell ligand-receptor signaling data and the spatial architecture of cells in each disease class, which can help point to markers of high diagnostic significance.

10 September 2020 in Research Square
Verified
Preprint
Open access
PDF file
CKCarl Koschmann
Carl Koschmann
AKAbed Rahman Kawakibi
Abed Rahman Kawakibi
RTRohinton Tarapore
Rohinton Tarapore
SGSharon Gardner
Sharon Gardner
CTChase Thomas
Chase Thomas
JAJoshua Allen
Joshua Allen
Patients with diffuse midline glioma (DMG) harboring H3 K27M mutation have no proven therapies beyond radiation. ONC201, a DRD2 antagonist and mitochondrial ClpP agonist, has induced early responses in patients with H3 K27M-mutant DMG. We performed an integrated pre-clinical and clinical assessment of ONC201 treatment, in order to define response rates in H3 K27M-mutant DMG patients and to clarify predictors of response. ONC201 was effective in murine H3 K27M-mutant gliomas with excellent CNS penetration and survival benefit. H3 K27M-mutant DMG patients treated with ONC201 on active clinical trials (n=50) showed significant survival benefit in recurrent and non-recurrent settings, with multiple sustained responses. Tumor sequencing from treated patients demonstrates an EGFR/FOXG1-driven telencephalic gene regulatory network that imparts a critical resistance phenotype to ONC201. Genetic and pharmacologic knockdown of EGFR in H3 K27M-mutant cell cultures results in improved sensitivity to ONC201 and reduced FOXG1 enhancer binding, suggesting possible future combinatorial opportunities.

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.