YLYaqi Li

Yaqi Li

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Yaqi Li has a total of 128 co-authors. Here are the top co-authors by number of shared publications:

  • Junjie Peng

    Department of Colorectal Surgery Fudan University Shanghai Cancer Center, Fudan University Shanghai China

    6 shared publications
  • Sanjun Cai

    Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 20032, China.

    3 shared publications
  • Jun Qin

    Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China; Jinfeng Laboratory, Chongqing 401329, China

    2 shared publications
  • Junjie Peng

    Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China

    2 shared publications
  • Ping Lu

    Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China

    2 shared publications
  • Qingguo Li

    Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China

    2 shared publications

Latest Publications

  • Dynamic Circulating Tumor DNA Methylation Monitoring Guiding Postoperative Surveillance in Nonmetastatic Colorectal Cancer: A Prospective, Randomized, Phase III FIND Trial

    by Shaobo Mo, Chaoqiang Zhou, Maoguang Ma, Wenqin Luo, Yaqun Li, Ping Lu, Peiyuan Tang, Yaqi Li, Xiaoji Ma, Xiang Hu, et al.

    PURPOSE: We hypothesized that a dynamic surveillance strategy guided by circulating tumor DNA (ctDNA) methylation would increase the rate of curative-intent therapy for recurrence in patients with nonmetastatic colorectal cancer (CRC) after curative resection. METHODS: The FIND trial (ClinicalTrials.gov identifier: NCT05904665 ) is a prospective, multicenter, randomized, phase III study. Patients with nonmetastatic CRC were randomly assigned to ctDNA-guided surveillance or standard computed tomography (CT)–based monitoring. In the ctDNA-guided group, a positive ctDNA result triggered immediate CT imaging; if negative, bimonthly CT continued alongside quarterly ctDNA testing. After two consecutive ctDNA-negative results, imaging reverted to standard frequency. The primary end point was the proportion of patients with recurrence receiving curative-intent metastasis-directed therapy. RESULTS: Among 584 eligible patients (289 ctDNA-guided, 295 control) in the modified intention-to-treat population, with a median follow-up of 23.3 months, recurrence rates were similar (18.0% v 18.6%, P = .919). The ctDNA-guided group had a significantly higher rate of curative-intent treatment (48.1% v 23.6%, relative risk 2.03, P = .008). The median time to clinical recurrence was significantly shorter in the ctDNA-guided group than in the control group (9.5 v 13.4 months; P < .001), representing a lead time of 3.9 months. Among recurrences confined to the liver and/or lungs, the ctDNA-guided group showed higher curative resection rates (42.3% v 18.2%, P = .002). These patients had more favorable hepatic metastatic features: fewer lesions (≤3: 75.0% v 28.6%, P = .005), smaller tumor size (≤3 cm: 90.0% v 57.1%, P = .033), and more unilobar disease (80.0% v 28.6%, P = .002). CONCLUSION: ctDNA methylation-guided dynamic surveillance improves the rate of curative-intent therapy for recurrence in patients with initially nonmetastatic CRC through earlier detection of resectable metastases, pending validation of long-term survival benefit in future analyses with mature data.


  • Tumor metastasis co-opts liver hematopoiesis to promote immunosuppression

    by Qiang Pan, Xuege Wang, Yaqi Li, Ni Li, Ying Han, Guoying Zhang, Jiacheng Guo, Le Zhang, Aoyuan Cui, Yongqiang Gu, et al.

    Cancer-associated hematopoietic abnormalities contribute to systemic immunosuppression. However, whether tumors can initiate localized extramedullary hematopoiesis to suppress antitumor immunity remains unclear. In this study, we identify a distinct form of hepatic hematopoiesis driven by liver metastasis–associated hematopoietic stem cells (LM-HSCs). Liver metastases establish ectopic periportal hematopoietic niches that recruit bone marrow HSCs through Kupffer cell–dependent C-C motif chemokine receptor 1 (CCR1) signaling. Although LM-HSCs retain self-renewal and multipotency, cAMP response element–binding protein (CREB) activation skews their differentiation toward the myeloid lineage, particularly annexin A1–positive (ANXA1 + ) immature neutrophils. These neutrophils produce glucocorticoids, which activate glucocorticoid receptor signaling in a paracrine manner and induce immune checkpoint receptor expression and functional anergy in CD8 + T and natural killer cells. Collectively, these findings suggest that liver metastases reprograms hepatic hematopoiesis to promote immunosuppression.

  • Open Access

    A Machine Learning–Based Scoring System to Identify High Immunoactivity Microsatellite Stability Tumors by Quantifying Similarity to Microsatellite Instability-High Tumors in Colorectal Cancers: Development and Quantitative Study

    by Hongkai Yan, Li Jiang, Yaqi Li, Fengchong Wang, Shaobo Mo, Weiqi Sheng, Dan Huang, Junjie Peng

    Background: Microsatellite stability (MSS) colorectal cancers (CRCs) have a limited response to immune checkpoint inhibitors (ICIs) compared to microsatellite instability-high (MSI-H) CRCs. Nevertheless, previous studies have shown that some MSS CRCs are sensitive to ICIs, although established criteria for treatment justification are still lacking. Objective: This study aimed to test the tumor-infiltrating lymphocyte (TIL) features of MSS and develop a novel computational tool for the similarity prediction between MSS and MSI-H status in patients with CRC based on multiple factors. Methods: We collected and analyzed data from 188 patients with CRC, including MSI status, immune cell distributions, clinical features, and gene mutations, using statistical methods and Cox regression. An ensemble machine learning–based MSI-H score was developed using stacked extreme gradient boosting classifiers to quantify the similarity of patient data to MSI-H data based on immune cell distributions, clinical features, and gene mutations. The model was robust and could address missing input data for immune cell distributions and gene mutations. Results: The scorer performed well (mean Cohen κ of 0.40, SD 0.05, over 10 random seeds) in identifying MSI-H–like MSS samples with TIL distributions similar to genuine MSI-H CRCs. No significant difference was observed between the TIL features of MSI-H–like MSS CRCs and MSI-H CRCs. The disparity between MSI-H–like MSS CRCs and MSS CRCs potentially lies in the T regulatory cells (P=.09) and macrophage (P=.16) populations within the tumor stromal region. Conclusions: Some patients with MSS CRC presented similar immune cell distributions with high immunoactivity compared to patients with MSI-H CRC. The MSI-H score serves as a metric to quantify the similarity of MSS CRCs to MSI-H CRCs and presents a promising avenue for more personalized and effective cancer immunotherapy treatment, offering a clinical reference for potential ICI targets in MSS CRCs.


  • Open Access

    Association of preoperative and recurrent serum carcinoembryonic antigen and outcome of colorectal cancer patients with metastatic relapse

    by Shanyou Tong, Renping Wu, Long Zhang, Ping Lu, Xiang Hu, Yaqi Li, Junjie Peng


  • Open Access

    Histone methyltransferase WHSC1 loss dampens MHC-I antigen presentation pathway to impair IFN-γ–stimulated antitumor immunity

    by Jiale Ren, Ni Li, Siyu Pei, Yannan Lian, Li Li, Yuchong Peng, Qiuli Liu, Jiacheng Guo, Xuege Wang, Ying Han, et al.

    IFN-γ–stimulated MHC class I (MHC-I) antigen presentation underlies the core of antitumor immunity. However, sustained IFN-γ signaling also enhances the programmed death ligand 1 (PD-L1) checkpoint pathway to dampen antitumor immunity. It remains unclear how these opposing effects of IFN-γ are regulated. Here, we report that loss of the histone dimethyltransferase WHSC1 impaired the antitumor effect of IFN-γ signaling by transcriptional downregulation of the MHC-I machinery without affecting PD-L1 expression in colorectal cancer (CRC) cells. Whsc1 loss promoted tumorigenesis via a non-cell-autonomous mechanism in an Apcmin/+ mouse model, CRC organoids, and xenografts. Mechanistically, we found that the IFN-γ/STAT1 signaling axis stimulated WHSC1 expression and, in turn, that WHSC1 directly interacted with NLRC5 to promote MHC-I gene expression, but not that of PD-L1. Concordantly, silencing Whsc1 diminished MHC-I levels, impaired antitumor immunity, and blunted the effect of immune checkpoint blockade. Patient cohort analysis revealed that WHSC1 expression positively correlated with enhanced MHC-I expression, tumor-infiltrating T cells, and favorable disease outcomes. Together, our findings establish a tumor-suppressive function of WHSC1 that relays IFN-γ signaling to promote antigen presentation on CRC cells and provide a rationale for boosting WHSC1 activity in immunotherapy.


  • Conducting Interviews Online: A Narrative Study With “Leftover Women” in China

    by Yaqi Li

    This case study describes a research project involving online interviews with single women, otherwise known as “leftover women,” in urban areas o

  • Open Access

    Establishment and identification of organoids from human circulating colorectal cancer cells

    by Long Zhang, Shaobo Mo, Xiang Hu, Xiaoji Ma, Weixiang Jin, David Haixiang Peng, Yu Zhou, Xiaofei Liang, Xinxin Rao, Xiaoya Xu, et al.


  • Open Access

    Organoid based personalized medicine: from bench to bedside

    by Yaqi Li, Peiyuan Tang, Sanjun Cai, Junjie Peng, Guoqiang Hua

    Three-dimensional cultured organoids have become a powerful in vitro research tool that preserves genetic, phenotypic and behavioral trait of in vivo organs, which can be established from both pluripotent stem cells and adult stem cells. Organoids derived from adult stem cells can be established directly from diseased epithelium and matched normal tissues, and organoids can also be genetically manipulated by CRISPR-Cas9 technology. Applications of organoids in basic research involve the modeling of human development and diseases, including genetic, infectious and malignant diseases. Importantly, accumulating evidence suggests that biobanks of patient-derived organoids for many cancers and cystic fibrosis have great value for drug development and personalized medicine. In addition, organoids hold promise for regenerative medicine. In the present review, we discuss the applications of organoids in the basic and translational research.


  • Open Access

    Establishment and validation of a novel nomogram incorporating clinicopathological parameters into the TNM staging system to predict prognosis for stage II colorectal cancer

    by Shaobo Mo, Zheng Zhou, Yaqi Li, Xiang Hu, Xiaoji Ma, Long Zhang, Sanjun Cai, Junjie Peng

    Background: Survival outcomes are significantly different in stage II colorectal cancer (CRC) patients with diverse clinicopathological features. The objective of this study is to establish a credible prognostic nomogram incorporating easily obtained parameters for stage II CRC patients. Methods: A total of 1708 stage II CRC patients seen at Fudan University Shanghai Cancer Center (FUSCC) from 2008 to 2013 were retrospectively analyzed in this study. Cases were randomly separated into a training set (n = 1084) and a validation set (n = 624). Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors that were subsequently incorporated into a nomogram. The performance of the nomogram was evaluated by the predicted concordance index (C-index) and ROC curve to calculate the area under the curve (AUC). The clinical utility of the nomogram was evaluated using decision curve analysis (DCA). Results: In univariate and multivariate analyses, eight parameters were correlated with disease-free survival (DFS), which were subsequently selected to generate a prognostic nomogram based on DFS. For DFS predictions, the C-index values of the nomogram were 0.842 (95% confidence interval (CI) 0.710–0.980), and 0.701 (95% CI 0.610–0.770) for the training and validation sets, respectively. The AUC values of the ROC curves for the nomogram to predicted 1, 3 and 5-year survival were 0.869, 0.858, and 0.777 (training group) and 0.673, 0.714, and 0.706 (validation group), respectively. The recurrence probability calibration curve showed good consistency between actual observations and nomogram-based predictions. DCA showed better clinical application value for the nomogram than the TNM staging system. Conclusion: A novel nomogram was established and validated in a large population, and the nomogram is a simple-to-use tool for physicians to facilitate postoperative personalized prognostic evaluation and determine therapeutic strategies for stage II CRC patients.


  • Integrating multiple “omics” analyses, on a triage concept, for effective case selection followed by diagnostic colonoscopy.

    by Sheeno P. Thyparambil, Jin You, Kang Liu, Hui Sun, Junjie Peng, Sanjun Cai, Yaqi Li, Pingping Bao, Qing Li, Yani Zhang, et al.

    244 Background: Implementation of population screening for colorectal cancer (CRC) before colonoscopy can reduce the challenge of the overall capacity of bowel examination and improve survival. Blood based CRC assessment biomarkers, on a triage concept, can lead to improved selection to colonoscopy and cost-effective CRC care. Methods: Innovative multi-omics approaches, with global and targeted LCMS data production (metabolomics, lipidomics, and 2D proteomics) and integrative data analytics, were applied to discover serological biomarkers to assess nonadvanced adenoma and identify stage I/II colorectal bowel lesions. A cohort of 2396 normal, 660 adenoma, 953 stage I, and 101 stage II blood samples, was constructed to discover screening biomarkers to support case finding of patients at high risk for nonadvanced adenoma and stage I/II cancer for subsequent diagnostic colonoscopy. Results: A three-analyte mProbe panel was constructed which outperformed the commercial assays of plasma methylated septin 9 and fecal Cologuard tests. Sensitivity: (1) nonadvanced adenoma–Cologuard 17.2%, mProbe 76.0%; (2) stage I-III-Cologuard 93.3%, stage I-II Septin 9 (ARUP laboratories) 77%, stage I-II mProbe: 92.3%. Specificity–Cologuard 89.8%, Septin 9 (ARUP laboratories) 88%, mProbe 90.7%. Conclusions: mProbe triage concept of a blood-based protein biomarker panel promises the precision to allow future CRC screening, and reduce the low-risk utilization of unnecessary, unpleasant and risk-associated bowel examinations.