Publications by authors named "Yongde Liao"

Background: To accurately identify spread through air spaces (STAS) in clinical stage IA lung adenocarcinoma, our study developed a non-invasive and interpretable biomarker combining clinical and radiomics features using preoperative CT.

Methods: The study included a cohort of 1,325 lung adenocarcinoma patients from three centers, which was divided into four groups: a training cohort ( = 930), a testing cohort ( = 238), an external validation 1 cohort ( = 93), and 2 cohort ( = 64). We collected clinical characteristics and semantic features, and extracted radiomics features.

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Background: Immuno-chemotherapy has demonstrated significant anti-tumor effects in patients with resectable nonsmall cell lung cancer (NSCLC). Additionally, for patients initially diagnosed with unresectable stage III NSCLC, induction immuno-chemotherapy may achieve tumor downstaging, enabling conversion to resectable disease allowing for by R0 resection. This study aimed to assess the effectiveness and safety of induction immuno-chemotherapy followed by conversion surgery in unresectable stage III NSCLC.

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Lung cancer remains the foremost cause of cancer-related mortality worldwide. Clinical observations reveal a notable increase in both the proportion and mortality rate among female non-small cell lung cancer (NSCLC) patients compared to males, a trend that continues to escalate. Extensive preclinical research underscores the pivotal role of estrogen in the initiation, progression, prognosis, and treatment response of NSCLC.

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Background: The study aimed to investigate the predictive value of delta-radiomics derived from computed tomography (CT) for pathological complete response (pCR) to neoadjuvant immunochemotherapy (NICT) among patients with esophageal squamous cell carcinoma (ESCC), helping clinicians determine whether to modify the neoadjuvant treatment strategy, proceed to surgery, or forgo surgery altogether.

Methods: A total of 140 ESCC patients from two institutions (Database 1 = 93; Database 2 = 47) who underwent NICT and surgery were retrospectively included in the study. The training set consisted of patients from Database 1, while the testing set included patients from Database 2.

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Objectives: Although neoadjuvant immunochemotherapy has been widely applied in non-small cell lung cancer (NSCLC), predicting treatment response remains a challenge. We used pretreatment multimodal CT to explore deep learning-based immunochemotherapy response image biomarkers.

Methods: This study retrospectively obtained non-contrast enhanced and contrast enhancedbubu CT scans of patients with NSCLC who underwent surgery after receiving neoadjuvant immunochemotherapy at multiple centers between August 2019 and February 2023.

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Objective: To evaluate the safety and efficacy of neoadjuvant immunotherapy in patients with esophageal squamous cell carcinoma (ESCC) and construct a prognostic model.

Methods: Clinical data were retrospectively collected from patients with locally advanced ESCC who received neoadjuvant immunotherapy and chemotherapy. The primary endpoints were major pathologic remission rate and disease-free survival, and secondary endpoints were treatment-related adverse events and perioperative complications.

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Article Synopsis
  • This expert consensus outlines guidelines for diagnosing and treating lung cancer that appears as multiple ground glass nodules.
  • Key topics include strategies for monitoring patients, how to differentiate between types of nodules, methods for accurate diagnosis and staging, treatment options, and follow-up care after treatment.
  • The review emphasizes the importance of informed clinical practices based on the latest literature.
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The upper mediastinal lymph nodes are a rare site of metastasis in early-stage cervical cancer, but they are a common site of metastasis in lung cancer. Notably, standard approaches for identifying the source of metastasis and subsequent treatment are currently lacking. The present study describes the case of a patient with primary lung adenocarcinoma harboring upper mediastinal lymphatic skip metastasis from cervical squamous cell carcinoma 2 years after a radical hysterectomy.

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Osimertinib, a third generation epidermal growth factor receptor tyrosine kinase inhibitor, is approved as a first-line therapy in patients with advanced non-small cell lung carcinoma (NSCLC) with EGFR-activating mutations or the T790M resistance mutation. However, the efficacy of osimertinib is limited due to acquired resistance, highlighting the need to elucidate resistance mechanisms to facilitate the development of improved treatment strategies. Here, we screened for significantly upregulated genes encoding protein kinases in osimertinib-resistant NSCLC cells and identified NUAK1 as a pivotal regulator of osimertinib resistance.

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-Accurate lung tumor segmentation from Computed Tomography (CT) scans is crucial for lung cancer diagnosis. Since the 2D methods lack the volumetric information of lung CT images, 3D convolution-based and Transformer-based methods have recently been applied in lung tumor segmentation tasks using CT imaging. However, most existing 3D methods cannot effectively collaborate the local patterns learned by convolutions with the global dependencies captured by Transformers, and widely ignore the important boundary information of lung tumors.

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Article Synopsis
  • Protein tyrosine kinase inhibitors (TKIs) are commonly used in cancer treatment, but their effectiveness is often hindered by drug resistance.
  • Reactive oxygen species (ROS) are important in enhancing TKI lethality, as high ROS levels can damage cancer cells, but resistant cancer cells may develop mechanisms to protect themselves from ROS.
  • Strategies to overcome TKI resistance include blocking protective pathways and inducing ROS accumulation, which can resensitize cancer cells to treatment.
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Recent single-arm studies involving neoadjuvant camrelizumab, a PD-1 inhibitor, plus chemotherapy for resectable locally advanced esophageal squamous cell carcinoma (LA-ESCC) have shown promising results. This multicenter, randomized, open-label phase 3 trial aimed to further assess the efficacy and safety of neoadjuvant camrelizumab plus chemotherapy followed by adjuvant camrelizumab, compared to neoadjuvant chemotherapy alone. A total of 391 patients with resectable thoracic LA-ESCC (T1b-3N1-3M0 or T3N0M0) were stratified by clinical stage (I/II, III or IVA) and randomized in a 1:1:1 ratio to undergo two cycles of neoadjuvant therapy.

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Article Synopsis
  • The study aims to determine if analyzing the intratumoral heterogeneity in CT images can predict the pathologic complete response (pCR) in non-small cell lung cancer (NSCLC) patients receiving neoadjuvant immunochemotherapy (NAIC).
  • Researchers analyzed data from 178 NSCLC patients, using both a training set and an external validation set, and applied machine learning techniques to develop a predictive model based on tumor imaging characteristics.
  • Results showed that the tumor internal heterogeneity habitat model outperformed the traditional radiomics model in predicting pCR, indicated by a higher area under the curve (AUC) and better accuracy in both the training and validation cohorts.
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Background: Many studies have demonstrated the relationship between METTL3 protein expression and clinical outcomes in various cancers and elucidated the mechanism by which METTL3 disrupts the behavior of cancer cells. Here, we attempted to define the prognostic value of METTL3 protein in patients with cancer via systematic analysis and explored the potential effect of inhibiting METTL3 using its specific inhibitor.

Methods: We searched PubMed, Embase, and the Web of Science databases for studies that elucidated the prognostic value of METTL3 protein expression in all cancer types and then calculated the pooled hazard ratios with 95% confidence intervals for the overall survival (OS) of all cancer types and subgroups.

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Purpose: To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing the occult lymph node metastasis (OLNM) status in clinical stage IA lung adenocarcinoma.

Methods: A cohort of 473 cases of lung adenocarcinomas from two hospitals was included, with 404 cases allocated to the training cohort and 69 cases to the testing cohort. Clinical characteristics and semantic features were collected, and radiomics features were extracted from the computed tomography (CT) images.

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Objective: Lung squamous cell carcinoma (LUSC) is associated with a low survival rate. Evidence suggests that bone morphogenetic proteins (BMPs) and their receptors (BMPRs) play crucial roles in tumorigenesis and progression. However, a comprehensive analysis of their role in LUSC is lacking.

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Background: Lung cancer is the leading cause of cancer-related death worldwide. The sex differences in the occurrence and fatality rates of non-small cell lung cancer (NSCLC), along with its association with estrogen dependence, suggest that estrogen receptors (ERs) contribute to the development of NSCLC. However, the influence of G protein-coupled estrogen receptor (GPER1) on NSCLC remains to be determined.

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Background: METTL3 plays a significant role as a catalytic enzyme in mediating N6-methyladenosine (mA) modification, and its importance in tumour progression has been extensively studied in recent years. However, the precise involvement of METTL3 in the regulation of translation in non-small cell lung cancer (NSCLC) remains unclear.

Results: Here we discovered by clinical investigation that METTL3 expression is correlated with NSCLC metastasis.

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Neoadjuvant chemoimmunotherapy has demonstrated significant benefit for resectable non-small-cell lung cancer (NSCLC) excluding known genetic alterations. Recent evidence has shown that neoadjuvant chemoimmunotherapy could be clinically valuable in resectable localized driver gene-mutant NSCLC, though the data still lack robust support, especially for rare oncogenic mutations. Here, we report a patient with stage IIIA lung adenocarcinoma with a fusion gene and high expression of PD-L1 who underwent neoadjuvant chemoimmunotherapy and successfully attained a pathologic complete response.

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Osimertinib resistance is regarded as a major obstacle limiting survival benefits for patients undergoing treatment of epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). However, the underlying mechanisms of acquired resistance remain unclear. In this study, we report that estrogen receptor β (ERβ) is highly expressed in osimertinib-resistant NSCLC and plays a pivotal role in promoting osimertinib resistance.

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Lung adenocarcinoma (LUAD) is a common type of malignant tumor with poor prognosis and high mortality. In our previous studies, we found that estrogen is an important risk factor for LUAD, and different estrogen statuses can predict different prognoses. Therefore, in this study, we constructed a prognostic signature related to estrogen reactivity to determine the relationship between different estrogen reactivities and prognosis.

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Rationale And Objectives: To accurately identify the high-risk pathological factors of pulmonary nodules, our study constructed a model combined with clinical features, radiomics features, and deep transfer learning features to predict high-risk pathological pulmonary nodules.

Materials And Methods: The study cohort consisted of 469 cases of lung adenocarcinoma patients, divided into a training cohort (n = 400) and an external validation cohort (n = 69). We obtained computed tomography (CT) semantic features and clinical characteristics, as well as extracted radiomics and deep transfer learning (DTL) features from the CT images.

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Objectives: To investigate if delta-radiomics features have the potential to predict the major pathological response (MPR) to neoadjuvant chemoimmunotherapy in non-small cell lung cancer (NSCLC) patients.

Methods: Two hundred six stage IIA-IIIB NSCLC patients from three institutions (Database1 = 164; Database2 = 21; Database3 = 21) who received neoadjuvant chemoimmunotherapy and surgery were included. Patients in Database1 were randomly assigned to the training dataset and test dataset, with a ratio of 0.

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In non-small cell lung cancer (NSCLC), the heterogeneity promotes drug resistance, and the restricted expression of programmed death-ligand 1 (PD-L1) limits the immunotherapy benefits. Based on the mechanisms related to translation regulation and the association with PD-L1 of methyltransferase-like 3 (METTL3), the novel small-molecule inhibitor STM2457 is assumed to be useful for the treatment of NSCLC. We evaluated the efficacy of STM2457 in vivo and in vitro and confirmed the effects of its inhibition on disease progression.

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In a previous study, our research group observed that estrogen promotes the metastasis of non-small cell lung cancer (NSCLC) through the estrogen receptor β (ERβ). Invadopodia are key structures involved in tumor metastasis. However, it is unclear whether ERβ is involved in the promotion of NSCLC metastasis through invadopodia.

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