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Search Results (14)
  • Open Access

    ARTICLE

    CircTIAM1 overexpression promotes the progression of papillary thyroid cancer by regulating the miR-338-3p/LASP1 axis

    YE ZHANG1, YANAN LIANG2, YAN WU2, LIWEN SONG2, ZUWANG ZHANG2,*

    Oncology Research, Vol.32, No.11, pp. 1747-1763, 2024, DOI:10.32604/or.2024.030945 - 16 October 2024

    Abstract Background: Papillary thyroid cancer (PTC) is the most prevalent histological type of differentiated thyroid malignancy. Circular RNAs (circRNAs) have been implicated in the pathogenesis and progression of various cancers. circTIAM1 (hsa_circ_0061406) is a novel circRNA with aberrant expression in PTC. However, its functional roles in PTC progression remain to be investigated. Methods: The expression levels of circTIAM1 in the PTC and the matched para-cancerous tissues were detected by quantitative real-time reverse-transcription PCR (qRT-PCR). The subcellular localization of circTIAM1 was examined by fluorescence in-situ hybridization (FISH). Kaplan-Meier plot was used to analyze the association of clinicopathological features… More >

  • Open Access

    ARTICLE

    COL4A2 enhances thyroid cancer cell proliferation through the AKT pathway

    LIANG HE1,2, WEI HAN1,3, KAI YUE1, XUDONG WANG1,*

    Oncology Research, Vol.32, No.9, pp. 1467-1478, 2024, DOI:10.32604/or.2024.047382 - 23 August 2024

    Abstract Objectives: Thyroid cancer (THCA) is the most common malignant tumor in endocrine system and the incidence has been increasing worldwide. And the number of patients dying from THCA has also gradually risen because the incidence continues to increase, so the mechanisms related to effective targets is necessary to improve the survival. This study was to preliminarily investigate the effects of the COL4A2 gene on the regulation of thyroid cancer (THCA) cell proliferation and the associated pathways. Methods: Bioinformatics analysis revealed that COL4A2 was closely associated with cancer development. COL4A2 expression in THCA tissues was analyzed… More >

  • Open Access

    REVIEW

    MicroRNAs in thyroid cancer with focus on medullary thyroid carcinoma: potential therapeutic targets and diagnostic/prognostic markers and web based tools

    ELHAM SHAKIBA1, SETI BOROOMAND2, SIMA KHERADMAND KIA3, MEHDI HEDAYATI4,*

    Oncology Research, Vol.32, No.6, pp. 1011-1019, 2024, DOI:10.32604/or.2024.049235 - 23 May 2024

    Abstract This review aimed to describe the inculpation of microRNAs (miRNAs) in thyroid cancer (TC) and its subtypes, mainly medullary thyroid carcinoma (MTC), and to outline web-based tools and databases for bioinformatics analysis of miRNAs in TC. Additionally, the capacity of miRNAs to serve as therapeutic targets and biomarkers in TC management will be discussed. This review is based on a literature search of relevant articles on the role of miRNAs in TC and its subtypes, mainly MTC. Additionally, web-based tools and databases for bioinformatics analysis of miRNAs in TC were identified and described. MiRNAs can… More > Graphic Abstract

    MicroRNAs in thyroid cancer with focus on medullary thyroid carcinoma: potential therapeutic targets and diagnostic/prognostic markers and web based tools

  • Open Access

    ARTICLE

    A Study on the Explainability of Thyroid Cancer Prediction: SHAP Values and Association-Rule Based Feature Integration Framework

    Sujithra Sankar1,*, S. Sathyalakshmi2

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 3111-3138, 2024, DOI:10.32604/cmc.2024.048408 - 15 May 2024

    Abstract In the era of advanced machine learning techniques, the development of accurate predictive models for complex medical conditions, such as thyroid cancer, has shown remarkable progress. Accurate predictive models for thyroid cancer enhance early detection, improve resource allocation, and reduce overtreatment. However, the widespread adoption of these models in clinical practice demands predictive performance along with interpretability and transparency. This paper proposes a novel association-rule based feature-integrated machine learning model which shows better classification and prediction accuracy than present state-of-the-art models. Our study also focuses on the application of SHapley Additive exPlanations (SHAP) values as… More >

  • Open Access

    REVIEW

    Technological Innovations in Thyroid Cancer Surgery

    Federico Cappellacci*, Gian Luigi Canu, Stefano Piras, Giacomo Anedda, Pietro Giorgio Calò, Fabio Medas

    Oncologie, Vol.24, No.1, pp. 35-50, 2022, DOI:10.32604/oncologie.2022.020864 - 31 March 2022

    Abstract Thyroid cancer is the fifth most common cancer in the USA, with differentiated subtype accounting for more than 95% of neoplasm. Surgery remains the mainstay of treatment, either with lobectomy or total thyroidectomy. In the last decades, many technological innovations have been introduced in this field. The aim of this review is to illustrate the most recent advances regarding the classical surgical approach, particularly regarding hemostatic devices, parathyroid identification with fluorescence systems, intraoperative identification of lymph node metastases, and intraoperative neuromonitoring. More >

  • Open Access

    ARTICLE

    Identifying Driver Genes Mutations with Clinical Significance in Thyroid Cancer

    Hyeong Won Yu1, Muhammad Afzal2, Maqbool Hussain2, Hyungju Kwon3, Young Joo Park4, June Young Choi1,*, Kyu Eun Lee5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1241-1251, 2021, DOI:10.32604/cmc.2021.014910 - 12 January 2021

    Abstract Advances in technology are enabling gene mutations in papillary thyroid carcinoma (PTC) to be analyzed and clinical outcomes, such as recurrence, to be predicted. To date, the most common genetic mutation in PTC is in BRAF kinase (BRAF). However, whether mutations in other genes coincide with those in BRAF remains to be clarified. The aim of this study was to find mutations in other genes that co-exist with mutated BRAF, and to analyze their frequency and clinical relevance in PTC. Clinical and genetic data were collected from 213 PTC patients with a total of 36,572… More >

  • Open Access

    CORRECTION

    miR-132 Targets FOXA1 and Exerts Tumor-Suppressing Functions in Thyroid Cancer

    Xin Chen*, Mingzhe Li, Hongwei Zhou*, Li Zhang*

    Oncology Research, Vol.28, No.9, pp. 965-967, 2020, DOI:10.3727/096504022X16414984936764

    Abstract MicroRNA-132 (miR-132) has been demonstrated to be a tumor suppressor in several types of tumors. However, the expression and the role of miR-132 in human thyroid cancer are still poorly understood. The aim of the present study was to examine the potential roles and molecular mechanism of miR-132 in thyroid cancer. We found that miR-132 expression levels were significantly downregulated in thyroid cancer tissues and cell lines. Function assays showed that overexpression of miR-132 in TPC1 cells inhibited cell proliferation, migration, and invasion. Forkhead box protein A1 (FOXA1) was identified as a direct target of More >

  • Open Access

    ARTICLE

    Analysis of the Effects of Different Surgical Procedures for the Treatment of Thyroid Cancer on the Expression Levels of IL-17, IL-35, and SIL-2R and the Prognostic Factors

    Chuanwei Xu1, Renju Ding2, Chuanping Xu3,*

    Oncologie, Vol.22, No.1, pp. 43-51, 2020, DOI:10.32604/oncologie.2020.012445

    Abstract To analyze the effects of different surgical procedures for the treatment of thyroid cancer on the expression levels of serum interleukin-17 (IL-17), IL-35, soluble interleukin-2 receptor (SIL-2R), and the prognostic factors. Seventy-eight patients with differentiated thyroid cancer were selected and grouped as control group (CG) (n = 39, underwent subtotal thyroidectomy) and observation group (OG) (n = 39, underwent total thyroidectomy). The serum IL-17, IL-35, and SIL- 2R expression levels; the incidence of complications; and the differentiated thyroid carcinoma (DTC) relapse rate were compared between the two groups. The serum IL-17 and SIL-2R levels were… More >

  • Open Access

    ARTICLE

    miR-132 Targets FOXA1 and Exerts Tumor-Suppressing Functions in Thyroid Cancer

    Xin Chen*, Mingzhe Li, Hongwei Zhou*, Li Zhang*

    Oncology Research, Vol.27, No.4, pp. 431-437, 2019, DOI:10.3727/096504018X15201058168730

    Abstract MicroRNA-132 (miR-132) has been demonstrated to be a tumor suppressor in several types of tumors. However, the expression and the role of miR-132 in human thyroid cancer are still poorly understood. The aim of the present study was to examine the potential roles and molecular mechanism of miR-132 in thyroid cancer. We found that miR-132 expression levels were significantly downregulated in thyroid cancer tissues and cell lines. Function assays showed that overexpression of miR-132 in TPC1 cells inhibited cell proliferation, migration, and invasion. Forkhead box protein A1 (FOXA1) was identified as a direct target of More >

  • Open Access

    ARTICLE

    Long Noncoding RNA CCAL Promotes Papillary Thyroid Cancer Progression by Activation of NOTCH1 Pathway

    Ying Ye, Yanan Song, Juhua Zhuang, Saifei He, Jing Ni, Wei Xia

    Oncology Research, Vol.26, No.9, pp. 1383-1390, 2018, DOI:10.3727/096504018X15188340975709

    Abstract Long noncoding RNA CCAL has been reported to promote tumor progression in various human cancers, including hepatocellular carcinoma, osteosarcoma, and colorectal cancer. However, the role of CCAL in papillary thyroid cancer remains largely unknown. In the present study, we found that the expression of CCAL was upregulated in papillary thyroid tumor tissues compared to adjacent normal tissues. Moreover, the expression of CCAL was positively related with papillary thyroid cancer severity and TNM stage and predicated poor prognosis. Besides, we found that knockdown of CCAL significantly inhibited papillary thyroid cancer cell proliferation, migration, and invasion in More >

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