Yiyang Li

Dr. Yiyang Li


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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9 December 2022 in Frontiers in Genetics
Verified
Journal Article
Open access
LZLu-Lu Zhang
Lu-Lu Zhang
WZWei-Jie Zhu
Wei-Jie Zhu
XZXin-Xin Zhang
Xin-Xin Zhang
DFDa Feng
Da Feng
XWXi-Cheng Wang
Xi-Cheng Wang
YLYiyang Li
Yiyang Li
Background: Esophageal Squamous Cell Cancer (ESCC) is an aggressive disease associated with a poor prognosis. As a newly defined form of regulated cell death, ferroptosis plays a crucial role in cancer development and treatment and might be a promising therapeutic target. However, the expression patterns of ferroptosis-related genes (FRGs) in ESCC remain to be systematically analyzed.Methods: First, we retrieved the transcriptional profile of ESCC from TCGA and GEO datasets (GSE47404, GSE23400, and GSE53625) and performed unsupervised clustering to identify different ferroptosis patterns. Then, we used the ssGSEA algorithm to estimate the immune cell infiltration of these patterns and explored the differences in immune cell abundance. Common genes among patterns were finally identified as signature genes of ferroptosis patterns.Results: Herein, we depicted the multi-omics landscape of FRGs through integrated bioinformatics analysis and identified three ESCC subtypes with distinct immune characteristics: clusters A-C. Cluster C was abundant in CD8+ T cells and other immune cell infiltration, while cluster A was immune-barren. By comparing the differently expressed genes between clusters of diverse datasets, we defined a gene signature for each cluster and successfully validated it in the TCGA-ESCC dataset.Conclusion: We provided a comprehensive insight into the expression pattern of ferroptosis genes and their interaction with immune cell infiltration. Additionally, we established a gene signature to define the ferroptosis patterns, which might be used to predict the response to immunotherapy.

15 October 2024 in Supportive Care in Cancer
Verified
Journal Article
Open access
PDF file
YLYiyang Li
Yiyang Li
YLYi-Min Li
Yi-Min Li
SNShao-qing Niu
Shao-qing Niu
HWHan-Yu Wang
Han-Yu Wang
YYYu-Ming Ye
Yu-Ming Ye
YZYujing Zhang
Yujing Zhang
Purpose Radiotherapy is a critical treatment for early-stage extranodal nasal-type NK/T-cell lymphoma (ENKTL) and has yielded favorable survival outcomes. However, their postradiotherapy quality of life (QOL) has not been investigated. Here, we conducted a cross-sectional study to assess the QOL of ENKTL patients with disease-free survival after definitive radiotherapy and to identify factors associated with QOL and treatment optimization. Methods This cross-sectional study included 310 patients with stage I–II ENKTL of the upper aerodigestive tract (UADT) who had received simultaneous integrated boost intensity-modulated radiotherapy (SIB-IMRT) with a consistent design and achieved disease-free survival. The median postradiotherapy time was 47.2 months (range, 3.1–115.7). The EORTC QLQ-H&N35 questionnaire was used to assess symptom-related QOL, and nine additional items were added to incorporate nasal, optical, and aural-related symptoms. The scores indicate the severity of the symptoms. Results The most common postradiotherapy symptoms among patients with ENKTL were nose problems (49.7%), dry mouth (44.8%), tooth problems (41.3%), sensory problems (32.6%), and less sexuality (25.8%). Tooth problems had the highest average score of 18.6, which is still acceptable. The severity of these symptoms decreased over time and reached a plateau in the second year after radiotherapy. Multivariable regression analysis showed that whole-neck irradiation was an independent predictive factor for xerostomia (P = 0.013, OR = 1.114), while age > 60 years was a predictive factor for lower sexuality (P < 0.001, OR = 1.32). Conclusion The QOL of patients with early-stage ENKTL after radiotherapy was favorable, and most symptoms improved over time. Radiotherapy was correlated with specific symptoms, which may suggest a direction for further improvement in SIB-IMRT.