Sitian He

Dr. Sitian He


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

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1 March 2022 in Talanta
Verified
Journal Article
Closed access
SHSitian He
Sitian He
JWJinlan Wei
Jinlan Wei
LDLihua Ding
Lihua Ding
XYXiaonan Yang
Xiaonan Yang
YWyongjun wu
yongjun wu

10 December 2022 in Analytica Chimica Acta
Verified
Journal Article
Closed access
SHSitian He
Sitian He
LDLihua Ding
Lihua Ding
HYHuijie Yuan
Huijie Yuan
GZGaofeng Zhao
Gaofeng Zhao
XYXiaonan Yang
Xiaonan Yang
YWyongjun wu
yongjun wu

Verified
Journal Article
Open access
PDF file
SHSitian He
Sitian He
PLPeng Liu
Peng Liu
YWyongjun wu
yongjun wu
MAMette Ørskov Agerbæk
Mette Ørskov Agerbæk
ASAli salanti
Ali salanti
MSMichiel Stevens
Michiel Stevens
Circulating tumor cells (CTCs) are detected in approximately 30% of metastatic non-small-cell lung cancer (NSCLC) cases using the CellSearch system, which relies on EpCAM immunomagnetic enrichment and Cytokeratin detection. This study evaluated the effectiveness of immunomagnetic enrichment targeting oncofetal chondroitin sulfate (ofCS) using recombinant VAR2CSA proteins (rVAR2) to improve the recovery of different NSCLC cell lines spiked into lysed blood samples. Four NSCLC cell lines—NCI-H1563, A549, NCI-H1792, and NCI-H661—were used to assess capture efficiency. The results demonstrated that the combined use of anti-EpCAM antibody and rVAR2 significantly enhanced the capture efficiency to an average of 88.2% compared with 40.6% when using only anti-EpCAM and 56.6% when using only rVAR2. These findings suggest that a dual-marker approach using anti-EpCAM and rVAR2 can provide a more robust and sensitive method for CTC enrichment in NSCLC, potentially leading to better diagnostic and prognostic outcomes.

19 September 2025 in Analytica Chimica Acta
Verified
Journal Article
Closed access
CGChunmei Gong
Chunmei Gong
ZWZhengkai Wang
Zhengkai Wang
XGXiaoling Gao
Xiaoling Gao
SHSitian He
Sitian He

28 January 2026 in Advanced Science
Verified
Journal Article
Open access
DLDuo Liu
Duo Liu
JYJie Yu
Jie Yu
JLJingxue Li
Jingxue Li
YCYixue Chen
Yixue Chen
MPMengle Peng
Mengle Peng
SHSitian He
Sitian He
Biomimetic membrane interface engineering constructs functionalized detection platforms by incorporating natural cell membranes, synthetic lipids, or hybrid membranes. The primary purpose of this strategy is to minimize background interference while leveraging intrinsic membrane properties for effective target interaction. Applications are diverse, ranging from the high‐purity separation of circulating tumor cells (CTCs) to the efficient isolation of extracellular vesicles (EVs), as well as the subsequent detection of EV‐derived contents (e.g., miRNA, protein, and mRNA) via membrane fusion mechanisms. Conceptually, this approach serves as a robust bridge between synthetic materials and biological systems. Its major advantages lie in the significant reduction of non‐specific binding and the unique capability to facilitate both target capture and internal cargo analysis. However, challenges such as complex preparation processes, stability issues, and the dependence on functional modifications to address significant tumor heterogeneity remain to be resolved. This review summarizes recent progress, analyzes these critical issues, and outlines future directions.

3 March 2026 in ACS Sensors
Verified
Journal Article
Closed access
SHSitian He
Sitian He
LDLihua Ding
Lihua Ding
CEClement Yaw Effah
Clement Yaw Effah
JPJiarong Pu
Jiarong Pu
SGShuhan Gu
Shuhan Gu
YWyongjun wu
yongjun wu