Jun Ma

Dr. Jun Ma

Wenzhou Medical University, Wenzhou, Zhejiang, China
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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12 April 2021 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
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JLJie Li
Jie Li
MKMegan M. Kaneda
Megan M. Kaneda
JMJun Ma
Jun Ma
MLMing Li
Ming Li
RSRyan M. Shepard
Ryan M. Shepard
CCClark C. Chen
Clark C. Chen
Significance: Understanding the basis for exceptional responders represents a key pillar in the framework of precision medicine. In this study, we utilized distinct informatics platforms to analyze the expression profiles of clinically annotated tumor specimens derived from patients afflicted with glioblastoma, the most common form of primary brain cancer. These analyses converged on prognostic contributions from glioblastoma-associated microglia/macrophages. Glioblastoma-associated microglia-secreted interleukin 11 (IL11) to activate a STAT3-MYC signaling axis in glioblastoma cells, facilitating resistance to the standard-of-care chemotherapy, temozolomide. Microglia recruitment and IL11 secretion were dependent on the myeloid-specific phosphoinositide-3-kinase gamma isoform (PI3Kγ). Inhibition or genetic inactivation of PI3Kγ in murine glioblastoma models recapitulated expression profiles observed in specimens derived from exceptional responders, suggesting a potential for clinical translation.

1 May 2020 in EBioMedicine
Verified
Journal Article
Open access
VRValya Ramakrishnan
Valya Ramakrishnan
BXBeibei Xu
Beibei Xu
JAJohnny Akers
Johnny Akers
TNThien Nguyen
Thien Nguyen
JMJun Ma
Jun Ma
CCClark C. Chen
Clark C. Chen
Recurrence after radiation therapy is nearly universal for glioblastomas, the most common form of adult brain cancer. The study aims to define clinically pertinent mechanisms underlying this recurrence. microRNA (miRNA) profiling was performed using matched pre- and post-radiation treatment glioblastoma specimens from the same patients. All specimens harbored unmethylated O6-methylguanine-DNA methyltransferase promoters (umMGMT) and wild-type isocitrate dehydrogenase (wtIDH). The most altered miRNA, miR-603, was characterized. While nearly all miRNAs remained unchanged after treatment, decreased levels of few, select miRNAs in the post-treatment specimens were observed, the most notable of which involved miR-603. Unbiased profiling of miR-603 targets revealed insulin-like growth factor 1 (IGF1) and IGF1 receptor (IGF1R). Ionizing radiation (IR) induced cellular export of miR-603 through extracellular vesicle (EV) release, thereby de-repressing IGF1 and IGF1R. This de-repression, in turn, promoted cancer stem-cell (CSC) state and acquired radiation resistance in glioblastomas. Export of miR-603 additionally de-repressed MGMT, a DNA repair protein responsible for detoxifying DNA alkylating agents, to promote cross-resistance to these agents. Ectopic miR-603 expression overwhelmed cellular capacity for miR-603 export and synergized with the tumoricidal effects of IR and DNA alkylating agents. Profiling of matched pre- and post-treatment glioblastoma specimens revealed altered homeostasis of select miRNAs in response to radiation. Radiation-induced EV export of miR-603 simultaneously promoted the CSC state and up-regulated DNA repair to promote acquired resistance. These effects were abolished by exogenous miR-603 expression, suggesting potential for clinical translation. NIH 1R01NS097649-01, 9R44GM128223-02, 1R01CA240953-01, the Doris Duke Charitable Foundation Clinical Scientist Development Award, The Sontag Foundation Distinguished Scientist Award, the Kimmel Scholar Award, and BWF 1006774.01 (C.C.C).

1 November 2014 in World Neurosurgery
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Journal Article
Closed access
JMJun Ma
Jun Ma
LCLinggang Cheng
Linggang Cheng
GWGuanghua Wang
Guanghua Wang
SLSong Lin
Song Lin

26 September 2020 in World Journal of Clinical Cases
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Journal Article
Open access
WMWei-Bo Mao
Wei-Bo Mao
JLJia-Yu Lyu
Jia-Yu Lyu
Deep K. VaishnaniDeep K. Vaishnani
Deep K. Vaishnani
YLYu-Man Lyu
Yu-Man Lyu
WGWei Gong
Wei Gong
JMJun Ma
Jun Ma
As a form of artificial intelligence, artificial neural networks (ANNs) have the advantages of adaptability, parallel processing capabilities, and non-linear processing. They have been widely used in the early detection and diagnosis of tumors. In this article, we introduce the development, working principle, and characteristics of ANNs and review the research progress on the application of ANNs in the detection and diagnosis of gastrointestinal and liver tumors.

24 August 2020 in Neuro-Oncology
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Journal Article
Open access
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YHYuyu He
Yuyu He
JLJie Li
Jie Li
TKTomoyuki Koga
Tomoyuki Koga
JMJun Ma
Jun Ma
SDSanjay Dhawan
Sanjay Dhawan
CCClark C. Chen
Clark C. Chen
There are ongoing clinical trials exploring the efficacy of dopamine receptor D2 (DRD2) inhibition against glioblastomas, the most common primary brain tumor. Here we examine potential molecular determinants of this efficacy. The Cancer Genome Atlas glioblastoma database and other published mRNA profiles were used to analyze the DRD2 and epidermal growth factor receptor (EGFR) expression pattern. In vitro and in vivo responses to DRD2 inhibitors were determined using patient-derived xenograft (PDX) glioblastoma models. Immunohistochemical studies were performed on clinically annotated glioblastoma samples derived from patients treated with ONC201. Analysis of clinical glioblastoma specimens derived from independent patient cohorts revealed an inverse correlation between EGFR and DRD2 mRNA expression, with implication that signaling mediated by these proteins shares overlapping functions. In independent panels of PDX glioblastoma lines, high EGFR expression was associated with poor in vitro and in vivo response to DRD2 inhibitors, including haloperidol and ONC201. Moreover, ectopic expression of a constitutively active EGFR, variant (v)III, suppressed glioblastoma sensitivity to ONC201. DRD2 expression positively correlated with expression of rate-limiting enzymes for dopamine synthesis as well as dopamine secretion, suggesting contribution of autocrine DRD2 signaling. Analysis of specimens from patients treated with ONC201 (n = 15) showed an inverse correlation between the intensity of EGFR staining and clinical response. The median overall survival for patients with high and low EGFR staining was 162 and 373 days, respectively (0.037). High EGFR expression is a determinant of poor glioblastoma response to DRD2. This finding should inform future clinical trial designs.

30 August 2019 in Journal of Neuro-Oncology
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Journal Article
Closed access
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JBJiri Bartek
Jiri Bartek
AAAli A. Alattar
Ali A. Alattar
SDSanjay Dhawan
Sanjay Dhawan
JMJun Ma
Jun Ma
TKTomoyuki Koga
Tomoyuki Koga
CCClark C. Chen
Clark C. Chen