Na Sun

Prof. Na Sun


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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7 September 2020 in Nature Communications
Verified
Journal Article
Open access
PDF file
NSNa Sun
Na Sun
YLYi-Te Lee
Yi-Te Lee
RZRyan Y. Zhang
Ryan Y. Zhang
RKRueihung Kao
Rueihung Kao
PTPai-Chi Teng
Pai-Chi Teng
YZyazhen zhu
yazhen zhu
We report a covalent chemistry-based hepatocellular carcinoma (HCC)-specific extracellular vesicle (EV) purification system for early detection of HCC by performing digital scoring on the purified EVs. Earlier detection of HCC creates more opportunities for curative therapeutic interventions. EVs are present in circulation at relatively early stages of disease, providing potential opportunities for HCC early detection. We develop an HCC EV purification system (i.e., EV Click Chips) by synergistically integrating covalent chemistry-mediated EV capture/release, multimarker antibody cocktails, nanostructured substrates, and microfluidic chaotic mixers. We then explore the translational potential of EV Click Chips using 158 plasma samples of HCC patients and control cohorts. The purified HCC EVs are subjected to reverse-transcription droplet digital PCR for quantification of 10 HCC-specific mRNA markers and computation of digital scoring. The HCC EV-derived molecular signatures exhibit great potential for noninvasive early detection of HCC from at-risk cirrhotic patients with an area under receiver operator characteristic curve of 0.93 (95% CI, 0.86 to 1.00; sensitivity = 94.4%, specificity = 88.5%).

2 October 2019 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
ZWZhili Wang
Zhili Wang
NSNa Sun
Na Sun
HLHui Liu
Hui Liu
CCChangchong Chen
Changchong Chen
PDPi Ding
Pi Ding
RPRen-Jun Pei
Ren-Jun Pei


14 January 2021 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
PDPi Ding
Pi Ding
ZWzhili wang
zhili wang
ZWZeen Wu
Zeen Wu
MHMingchao Hu
Mingchao Hu
WZWeipei Zhu
Weipei Zhu
RPRen-Jun Pei
Ren-Jun Pei

7 April 2020 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
PDPi Ding
Pi Ding
ZWzhili wang
zhili wang
ZWZeen Wu
Zeen Wu
YZYouxin Zhou
Youxin Zhou
NSNa Sun
Na Sun
RPRen-Jun Pei
Ren-Jun Pei

3 August 2021 in Nature Communications
Verified
Journal Article
Open access
PDF file
YAYalda Afshar
Yalda Afshar
JDJiantong Dong
Jiantong Dong
PZPan Zhao
Pan Zhao
LLLei Li
Lei Li
SWShan Wang
Shan Wang
YZyazhen zhu
yazhen zhu
Placenta accreta spectrum (PAS) is a high-risk obstetrical condition associated with significant morbidity and mortality. Current clinical screening modalities for PAS are not always conclusive. Here, we report a nanostructure-embedded microchip that efficiently enriches both single and clustered circulating trophoblasts (cTBs) from maternal blood for detecting PAS. We discover a uniquely high prevalence of cTB-clusters in PAS and subsequently optimize the device to preserve the intactness of these clusters. Our feasibility study on the enumeration of cTBs and cTB-clusters from 168 pregnant women demonstrates excellent diagnostic performance for distinguishing PAS from non-PAS. A logistic regression model is constructed using a training cohort and then cross-validated and tested using an independent cohort. The combined cTB assay achieves an Area Under ROC Curve of 0.942 (throughout gestation) and 0.924 (early gestation) for distinguishing PAS from non-PAS. Our assay holds the potential to improve current diagnostic modalities for the early detection of PAS.