Browsing by Author "Liu, Yin"

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    c-Met Mediated Cytokine Network Promotes Brain Metastasis of Breast Cancer by Remodeling Neutrophil Activities
    (MDPI, 2023-05-05) Liu, Yin; Smith, Margaret R.; Wang, Yuezhu; D’Agostino, Ralph, Jr.; Ruiz, Jimmy; Lycan, Thomas; Kucera, Gregory L.; Miller, Lance D.; Li, Wencheng; Chan, Michael D.; Farris, Michael; Su, Jing; Song, Qianqian; Zhao, Dawen; Chandrasekaran, Arvind; Xing, Fei; Biostatistics and Health Data Science, School of Medicine
    The brain is one of the most common metastatic sites among breast cancer patients, especially in those who have Her2-positive or triple-negative tumors. The brain microenvironment has been considered immune privileged, and the exact mechanisms of how immune cells in the brain microenvironment contribute to brain metastasis remain elusive. In this study, we found that neutrophils are recruited and influenced by c-Met high brain metastatic cells in the metastatic sites, and depletion of neutrophils significantly suppressed brain metastasis in animal models. Overexpression of c-Met in tumor cells enhances the secretion of a group of cytokines, including CXCL1/2, G-CSF, and GM-CSF, which play critical roles in neutrophil attraction, granulopoiesis, and homeostasis. Meanwhile, our transcriptomic analysis demonstrated that conditioned media from c-Met high cells significantly induced the secretion of lipocalin 2 (LCN2) from neutrophils, which in turn promotes the self-renewal of cancer stem cells. Our study unveiled the molecular and pathogenic mechanisms of how crosstalk between innate immune cells and tumor cells facilitates tumor progression in the brain, which provides novel therapeutic targets for treating brain metastasis.
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    IASLC grading system predicts distant metastases for resected lung adenocarcinoma
    (BMJ, 2025-05-25) Wang, Yuezhu; Smith, Margaret R.; Dixon, Caroline B.; D’Agostino, Ralph; Liu, Yin; Ruiz, Jimmy; Chan, Michael D.; Su, Jing; Mileham, Kathryn F.; Lycan, Thomas; Green, Mary E.; Hassan, Omer A.; Jiang, Yuming; Niazi, M. Khalid Khan; Li, Wencheng; Xing, Fei; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Aims: The International Association for the Study of Lung Cancer (IASLC) has proposed a new histological grading system for invasive lung adenocarcinoma (LUAD). However, the efficacy of this grading system in predicting distant metastases in patients with LUAD remains unexplored. This study aims to assess the potential of the IASLC grading system in predicting the occurrence of brain and bone metastases in patients with resectable LUAD, thereby identifying individuals at high risk of post-surgery distant metastasis. Methods: We retrospectively analysed clinical data and pathological reports of 174 patients with early-stage LUAD who underwent surgical resection between 2008 and 2015 at our cancer center. Patients were monitored for 5 years, and their bone and brain metastasis-free survival rates were determined. Results: 28 out of 174 patients developed distant metastases in 5 years with a median overall survival of 60 months for metastasis-free patients and 38.3 months for patients with distant metastasis. Tumour grading of all samples was evaluated by both IASLC grading and predominant pattern-based grading systems. Receiver operating characteristic (ROC) curves were used to evaluate the predictive capabilities of the IASLC grading system and tumour stage for distant metastasis. Compared with the predominant pattern-based grading system, the IASLC grading system showed a better correlation with the incidence of distant metastasis and lymphovascular invasion. ROC analyses revealed that the IASLC grading system outperformed tumour stage in predicting distant metastasis. Conclusions: Our study indicates that the IASLC grading system is capable of predicting the incidence of distant metastasis among patients with early-stage invasive LUAD.
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    Modulation of oxidative phosphorylation and mitochondrial biogenesis by cigarette smoke influence the response to immune therapy in NSCLC patients
    (Elsevier, 2023-04) Wang, Yuezhu; Smith, Margaret; Ruiz, Jimmy; Liu, Yin; Kucera, Gregory L.; Topaloglu, Umit; Chan, Michael D.; Li, Wencheng; Su, Jing; Xing, Fei; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    The treatment regimen of non-small cell lung cancer (NSCLC) has drastically changed owing to the superior anti-cancer effects generated by the immune-checkpoint blockade (ICB). However, only a subset of patients experience benefit after receiving ICBs. Therefore, it is of paramount importance to increase the response rate by elucidating the underlying molecular mechanisms and identifying novel therapeutic targets to enhance the efficacy of IBCs in non-responders. We analyzed the progression-free survival (PFS) and overall survival (OS) of 295 NSCLC patients who received anti-PD-1 therapy by segregating them with multiple clinical factors including sex, age, race, smoking history, BMI, tumor grade and subtype. We also identified key signaling pathways and mutations that are enriched in patients with distinct responses to ICB by gene set enrichment analysis (GSEA) and mutational analyses. We found that former and current smokers have a higher response rate to anti-PD-1 treatment than non-smokers. GSEA results revealed that oxidative phosphorylation (OXPHOS) and mitochondrial related pathways are significantly enriched in both responders and smokers, suggesting a potential role of cellular metabolism in regulating immune response to ICB. We also demonstrated that all-trans retinoic acid (ATRA) which enhances mitochondrial function significantly enhanced the efficacy of anti-PD-1 treatment in vivo. Our clinical and bioinformatics based analyses revealed a connection between smoking induced metabolic switch and the response to immunotherapy, which can be the basis for developing novel combination therapies that are beneficial to never smoked NSCLC patients.
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    Prognostic Mutational Signatures of NSCLC Patients treated with chemotherapy, immunotherapy and chemoimmunotherapy
    (Springer Nature, 2023-03-27) Smith, Margaret R.; Wang, Yuezhu; D’Agostino, Ralph, Jr.; Liu, Yin; Ruiz, Jimmy; Lycan, Thomas; Oliver, George; Miller, Lance D.; Topaloglu, Umit; Pinkney, Jireh; Abdulhaleem, Mohammed N.; Chan, Michael D.; Farris, Michael; Su, Jing; Mileham, Kathryn F.; Xing, Fei; Biostatistics and Health Data Science, School of Medicine
    Different types of therapy are currently being used to treat non-small cell lung cancer (NSCLC) depending on the stage of tumor and the presence of potentially druggable mutations. However, few biomarkers are available to guide clinicians in selecting the most effective therapy for all patients with various genetic backgrounds. To examine whether patients' mutation profiles are associated with the response to a specific treatment, we collected comprehensive clinical characteristics and sequencing data from 524 patients with stage III and IV NSCLC treated at Atrium Health Wake Forest Baptist. Overall survival based Cox-proportional hazard regression models were applied to identify mutations that were "beneficial" (HR < 1) or "detrimental" (HR > 1) for patients treated with chemotherapy (chemo), immune checkpoint inhibitor (ICI) and chemo+ICI combination therapy (Chemo+ICI) followed by the generation of mutation composite scores (MCS) for each treatment. We also found that MCS is highly treatment specific that MCS derived from one treatment group failed to predict the response in others. Receiver operating characteristics (ROC) analyses showed a superior predictive power of MCS compared to TMB and PD-L1 status for immune therapy-treated patients. Mutation interaction analysis also identified novel co-occurring and mutually exclusive mutations in each treatment group. Our work highlights how patients' sequencing data facilitates the clinical selection of optimized treatment strategies.
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    Targeting NTRK1 Enhances Immune Checkpoint Inhibitor Efficacy in NTRK1 Wild-Type Non-Small Cell Lung Cancer
    (American Association for Cancer Research, 2024) Smith, Margaret R.; Dixon, Caroline B.; Wang, Yuezhu; Liu, Yin; D’Agostino, Ralph, Jr.; Ruiz, Jimmy; Oliver, George; Miller, Lance D.; Topaloglu, Umit; Chan, Michael D.; Farris, Michael; Su, Jing; Mileham, Kathryn F.; Zhao, Dawen; Li, Wencheng; Sexton, Tammy; Lycan, Thomas; Haas, Karen M.; Grayson, Jason M.; Xing, Fei; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Treatment of non-small cell lung cancer (NSCLC) has drastically changed in recent years owing to the robust anticancer effects of immune checkpoint inhibitors (ICI). However, only 20% of the patients with NSCLC benefit from ICIs, highlighting the need to uncover the mechanisms mediating resistance. By analyzing the overall survival (OS) and mutational profiles of 424 patients with NSCLC who received ICI treatments between 2015 and 2021, we determined that patients carrying a loss-of-function mutation in neurotrophic tyrosine kinase receptor 1 (NTRK1) had a prolonged OS when compared with patients with wild-type NTRK1. Notably, suppression of the NTRK1 pathway by knockdown or entrectinib treatment significantly enhanced ICI efficacy in mouse NSCLC models. Comprehensive T-cell population analyses demonstrated that stem-like CD4+ T cells and effector CD4+ and CD8+ T cells were highly enriched in anti-PD-1-treated mice bearing tumors with decreased NTRK1 signaling. RNA sequencing revealed that suppression of NTRK1 signaling in tumor cells increased complement C3 expression, which enhanced the recruitment of T cells and myeloid cells and stimulated M1-like macrophage polarization in the tumor. Together, this study demonstrates a role for NTRK1 signaling in regulating cross-talk between tumor cells and immune cells in the tumor microenvironment and provides a potential therapeutic approach to overcome immunotherapy resistance in patients with NSCLC with NTRK1 wild-type. Significance: Inhibition of NTRK1 signaling confers sensitivity to immunotherapy by enhancing complement C3-mediated T-cell and macrophage functions, leading to improved responses to immune checkpoint inhibitors in patients with lung cancer with NTRK1 mutations.