<i>Retracted:</i> A Comparative Study of ARHI Imprinted Gene Detection and Fine-Needle Aspiration Cytology in the Differential Diagnosis of Benign and Malignant Thyroid Nodules

Zou, Dazhong; Wu, Chengwei; Miao, Jixuan; Shao, Qing; Huang, W. S.; Huang, Jianda; Wu, Guihua; Zhang, Qing

doi:10.1089/gtmb.2019.0028

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…FNA cytology is always chosen to evaluate the malignant risk when the TN are suspected as malignancy by ultrasound (6). Nevertheless, cytological uncertainty is present in 20 to 30% of FNA samples (7), which are classified as indeterminate thyroid nodules (ITN). Most patients with ITN are referred to surgery.…”

Section: Introductionmentioning

confidence: 99%

Distinguishing Benign and Malignant Thyroid Nodules and Identifying Lymph Node Metastasis in Papillary Thyroid Cancer by Plasma N-Glycomics

Zhang

Reiding

et al. 2021

Front. Endocrinol.

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BackgroundBiomarkers are needed for patient stratification between benign thyroid nodules (BTN) and thyroid cancer (TC) and identifying metastasis in TC. Though plasma N-glycome profiling has shown potential in the discovery of biomarkers and can provide new insight into the mechanisms involved, little is known about it in TC and BTN. Besides, several studies have indicated associations between abnormal glycosylation and TC. Here, we aimed to explore plasma protein N-glycome of a TC cohort with regard to their applicability to serve as biomarkers.MethodsPlasma protein N-glycomes of TC, BTN, and matched healthy controls (HC) were obtained using a robust quantitative strategy based on MALDI-TOF MS and included linkage-specific sialylation information.ResultsPlasma N-glycans were found to differ between BTN, TC, and HC in main glycosylation features, namely complexity, galactosylation, fucosylation, and sialylation. Four altered glycan traits, which were consecutively decreased in BTN and TC, and classification models based on them showed high potential as biomarkers for discrimination between BTN and TC (“moderately accurate” to “accurate”). Additionally, strong associations were found between plasma N-glycans and lymph node metastasis in TC, which added the accuracy of predicting metastasis before surgery to the existing method.ConclusionsWe comprehensively evaluated the plasma N-glycomic changes in patients with TC or BTN for the first time. We determined several N-glycan biomarkers, some of them have potential in the differential diagnosis of TC, and the others can help to stratify TC patients to low or high risk of lymph node metastasis. The findings enhanced the understanding of TC.

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Section: Introductionmentioning

confidence: 99%

Distinguishing Benign and Malignant Thyroid Nodules and Identifying Lymph Node Metastasis in Papillary Thyroid Cancer by Plasma N-Glycomics

Zhang

Reiding

et al. 2021

Front. Endocrinol.

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“…However, these methods suffer from apparent shortcomings such as the need for professional operation, dependence on the experience of the clinicians, invasiveness, decreased accuracy for small nodules, cytological uncertainty present in 20% to 30% of TN, high cost, etc. (9)(10)(11). Summing up the above, it's urgent to discover novel and non-invasive biomarkers that could complement ultrasound and FNA to improve the accuracy of discrimination between TC and non-cancer and are applicable for early detection of TC.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Potential of Plasma IgG N-glycans in Discriminating Thyroid Cancer from Benign Thyroid Nodules and Healthy Controls

Zhang

Liu

et al. 2021

Front. Oncol.

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BackgroundNovel biomarkers are urgently needed to distinguish between benign and malignant thyroid nodules and detect thyroid cancer in the early stage. The associations between serum IgG N-glycosylation and thyroid cancer risk have been revealed. We aimed to explore the potential of IgG N-glycan traits as biomarkers in the differential diagnosis of thyroid cancer.MethodsPlasma IgG N-glycome analysis was applied to a discovery cohort followed by independent validation. IgG N-glycan profiles were obtained using a robust quantitative strategy based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. IgG N-glycans were relatively quantified, and classification performance was evaluated based on directly detected and derived glycan traits.ResultsFour directly detected glycans were significantly changed in thyroid cancer patients compared to that in non-cancer controls. Derived glycan traits and a classification glycol-panel were generated based on the directly detected glycan traits. In the discovery cohort, derived trait BN (bisecting type neutral N-glycans) and the glyco-panel showed potential in distinguishing between thyroid cancer and non-cancer controls with AUCs of 0.920 and 0.917, respectively. The diagnostic potential was further validated. Derived trait BN and the glycol-panel displayed “accurate” performance (AUC>0.8) in discriminating thyroid cancer from benign thyroid nodules and healthy controls in the validation cohort. Meanwhile, derived trait BN and the glycol-panel also showed diagnostic potential in detecting early-stage thyroid cancer.ConclusionsIgG N-glycome analysis revealed N-glycomic differences that allow classification of thyroid cancer from non-cancer controls. Our results suggested that derived trait BN and the classification glyco-panel rather than single N-glycans may serve as candidate biomarkers for further validation.

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Identifying benign and malignant thyroid nodules based on blood serum surface-enhanced Raman spectroscopy

Xia

Chen

et al. 2021

Nanomedicine: Nanotechnology, Biology and Medicine

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Retracted: A Comparative Study of ARHI Imprinted Gene Detection and Fine-Needle Aspiration Cytology in the Differential Diagnosis of Benign and Malignant Thyroid Nodules

Cited by 5 publications

References 17 publications

Distinguishing Benign and Malignant Thyroid Nodules and Identifying Lymph Node Metastasis in Papillary Thyroid Cancer by Plasma N-Glycomics

Distinguishing Benign and Malignant Thyroid Nodules and Identifying Lymph Node Metastasis in Papillary Thyroid Cancer by Plasma N-Glycomics

Diagnostic Potential of Plasma IgG N-glycans in Discriminating Thyroid Cancer from Benign Thyroid Nodules and Healthy Controls

Identifying benign and malignant thyroid nodules based on blood serum surface-enhanced Raman spectroscopy

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