Yingying Su

Dr. Yingying Su

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

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15 June 2023 in Cancers
Verified
Journal Article
Open access
PDF file
XLXiaozeng Lin
Xiaozeng Lin
YDying dong
ying dong
YGYan Gu
Yan Gu
Anil KapoorAnil Kapoor
Anil Kapoor
JPJingyi Peng
Jingyi Peng
DTDamu Tang
Damu Tang
Taxifolin inhibits breast cancer (BC) via novel mechanisms. In a syngeneic mouse BC model, taxifolin suppressed 4T-1 cell-derived allografts. RNA-seq of 4T-1 tumors identified 36 differentially expressed genes (DEGs) upregulated by taxifolin. Among their human homologues, 19, 7, and 2 genes were downregulated in BCs, high-proliferative BCs, and BCs with high-fatality risks, respectively. Three genes were established as tumor suppressors and eight were novel to BC, including HNRN, KPRP, CRCT1, and FLG2. These four genes exhibit tumor suppressive actions and reside in 1q21.3, a locus amplified in 70% recurrent BCs, revealing a unique vulnerability of primary and recurrent BCs with 1q21.3 amplification with respect to taxifolin. Furthermore, the 36 DEGs formed a multiple gene panel (DEG36) that effectively stratified the fatality risk in luminal, HER2+, and triple-negative (TN) equivalent BCs in two large cohorts: the METABRIC and TCGA datasets. 4T-1 cells model human TNBC cells. The DEG36 most robustly predicted the poor prognosis of TNBCs and associated it with the infiltration of CD8+ T, NK, macrophages, and Th2 cells. Of note, taxifolin increased the CD8+ T cell content in 4T-1 tumors. The DEG36 is a novel and effective prognostic biomarker of BCs, particularly TNBCs, and can be used to assess the BC-associated immunosuppressive microenvironment.

30 September 2023 in Cancers
Verified
Journal Article
Open access
PDF file
XLXiaozeng Lin
Xiaozeng Lin
YDying dong
ying dong
YGYan Gu
Yan Gu
FWFengxiang Wei
Fengxiang Wei
JPJingyi Peng
Jingyi Peng
DTDamu Tang
Damu Tang
Using an LL2 cell-based syngeneic mouse LC model, taxifolin suppressed allografts along with the appearance of 578 differentially expressed genes (DEGs). These DEGs were associated with enhancement of processes related to the extracellular matrix and lymphocyte chemotaxis as well as the reduction in pathways relevant to cell proliferation. From these DEGs, we formulated 12-gene (TxflSig) and 7-gene (TxflSig1) panels; both predicted response to ICB (immune checkpoint blockade) therapy more effectively in non-small-cell lung cancer (NSCLC) than numerous well-established ICB biomarkers, including PD-L1. In both panels, the mouse counterparts of ITGAL, ITGAX, and TMEM119 genes were downregulated by taxifolin. They were strongly associated with immune suppression in LC, evidenced by their robust correlations with the major immunosuppressive cell types (MDSC, Treg, and macrophage) and multiple immune checkpoints in NSCLC and across multiple human cancer types. ITGAL, ITGAX, and IIT (ITGAL-ITGAX-TMEM119) effectively predicted NSCLC’s response to ICB therapy; IIT stratified the mortality risk of NSCLC. The stromal expressions of ITGAL and ITGAX, together with tumor expression of TMEM119 in NSCLC, were demonstrated. Collectively, we report multiple novel ICB biomarkers—TxflSig, TxflSig1, IIT, ITGAL, and ITGAX—and taxifolin-derived attenuation of immunosuppressive activities in NSCLC, suggesting the inclusion of taxifolin in ICB therapies for NSCLC.

5 June 2022 in Cancers
Verified
Journal Article
Open access
PDF file
XLXiaozeng Lin
Xiaozeng Lin
YGYan Gu
Yan Gu
YSYingying Su
Yingying Su
YDying dong
ying dong
PMPierre Major
Pierre Major
DTDamu Tang
Damu Tang
Effective assessment of adrenocortical carcinoma (ACC) prognosis is critical in patient management. We report four novel and robust prognostic multigene panels. Sig27var25, SigIQvar8, SigCmbnvar5, and SigCmbn_B predict ACC relapse at area under the curve (AUC) of 0.89, 0.79, 0.78, and 0.80, respectively, and fatality at AUC of 0.91, 0.88, 0.85, and 0.87, respectively. Among their 33 component genes, 31 are novel. They could be differentially expressed in ACCs from normal tissues, tumors with different severity (stages and lymph node metastasis), ACCs with TP53 mutations, and tumors with differentially expressed immune checkpoints (CTLA4, PD1, TGFBR1, and others). All panels correlate with reductions of ACC-associated CD8+ and/or NK cells. Furthermore, we provide the first evidence for the association of mesenchymal stem cells (MSCs) with ACC relapse (p = 2 × 10−6) and prognosis (p = 2 × 10−8). Sig27var25, SigIQvar8, SigCmbnvar5, and SigCmbn_B correlate with MSC (spearman r ≥ 0.53, p ≤ 1.38 × 10−5). Sig27var25 and SigIQvar8 were derived from a prostate cancer (PC) and clear cell renal cell carcinoma (ccRCC) multigene signature, respectively; SigCmbnvar5 and SigCmbn_B are combinations of both panels, revealing close relationships of ACC with PC and ccRCC. The origin of these four panels from PC and ccRCC favors their prognostic potential towards ACC.

22 June 2026 in Biomolecules
Verified
Journal Article
Open access
PDF file
YDying dong
ying dong
YSYingying Su
Yingying Su
DTDamu Tang
Damu Tang
Cytohesin-4 (CYTH4), an ARF guanine nucleotide exchange factor, remains unknown in RCC pathogenesis. We report that CYTH4 was dramatically upregulated in clear cell renal cell carcinoma (ccRCC) and following ccRCC progression. CYTH4 was strongly associated with ccRCC’s immune-suppressive features and stratified ccRCC poor outcome. From CYTH4’s network/NW, a multigene panel, SigCYTH4NW, was derived. In retrospective studies, (1) SigCYTH4NW effectively predicted ccRCC’s inferior prognosis, was strongly associated with the well-validated poor risk ccB signature in four independent ccRCC cohorts (n = 1132), was significantly upregulated in ccB compared to ccA (favorable risk) tumors, was robustly correlated with an immune checkpoint signature (SigIC), and was predominantly expressed in tumor-associated macrophages, and (2) SigCYTH4NW effectively predicted poor prognosis and correlated with SigIC across 21 other cancer types. CYTH4 was expressed at low levels in 786-0 ccRCC cells; its stable expression promoted 786-0 cell proliferation in vitro and xenograft formation in vivo. CYTH4 bound PPP1R9B, which maintains pRb’s hypophosphorylation. 786-0 CYTH4 cells displayed intensive pRb hyperphosphorylation, suggesting that CYTH4 enhances cell proliferation partially by pRb inhibition. Gene expression profiling by RNA-seq revealed a 786-0 CYTH4 network that was relevant to primary ccRCC, particularly in the aspect of immune evasion. Collectively, this study supports CYTH4’s promoting ccRCC.