Analysis of loss of heterozygsity effect on thyroid tumor with oxyphilia cell locus in familial non medullary thyroid carcinoma in Iranian families

Shirazi, Hasti Atashi; Hedayati, Mehdi; Daneshpour, Maryam S.; Shafiee, Abdollah

doi:10.4103/0971-6866.107989

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…Thyroid cancer is the most common endocrine malignancy, and the incidence of thyroid cancer is increasing rapidly worldwide [ 1 , 2 ]. Thyroid cancer includes several histological types and subtypes with various cellular origins and characteristics [ 3 , 4 ] but is usually composed of two types of endocrine thyroid cells, i.e., follicular thyroid cells and para follicular C cells.…”

Section: Introductionmentioning

confidence: 99%

Meta-analysis of promoter methylation in eight tumor-suppressor genes and its association with the risk of thyroid cancer

et al. 2017

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Promoter methylation in a number of tumor-suppressor genes (TSGs) can play crucial roles in the development of thyroid carcinogenesis. The focus of the current meta-analysis was to determine the impact of promoter methylation of eight selected candidate TSGs on thyroid cancer and to identify the most important molecules in this carcinogenesis pathway. A comprehensive search was performed using Pub Med, Scopus, and ISI Web of Knowledge databases, and eligible studies were included. The methodological quality of the included studies was evaluated according to the Newcastle Ottawa scale table and pooled odds ratios (ORs); 95% confidence intervals (CIs) were used to estimate the strength of the associations with Stata 12.0 software. Egger’s and Begg’s tests were applied to detect publication bias, in addition to the “Metatrim” method. A total of 55 articles were selected, and 135 genes with altered promoter methylation were found. Finally, we included eight TSGs that were found in more than four studies (RASSF1, TSHR, PTEN, SLC5A, DAPK, P16, RARβ2, and CDH1). The order of the pooled ORs for these eight TSGs from more to less significant was CDH1 (OR = 6.73), SLC5 (OR = 6.15), RASSF1 (OR = 4.16), PTEN (OR = 3.61), DAPK (OR = 3.51), P16 (OR = 3.31), TSHR (OR = 2.93), and RARβ2 (OR = 1.50). Analyses of publication bias and sensitivity confirmed that there was very little bias. Thus, our findings showed that CDH1 and SCL5A8 genes were associated with the risk of thyroid tumor genesis.

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Section: Introductionmentioning

confidence: 99%

Meta-analysis of promoter methylation in eight tumor-suppressor genes and its association with the risk of thyroid cancer

et al. 2017

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“…Thyroid carcinoma (TC) is the most common endocrine malignancy, accounting for approximately 1% of all types of human cancer, with an increasing incidence reported worldwide [ 1 ]. Over 95% of TC derives from follicular epithelial cells, consisting of well-differentiated carcinoma (90~95% of TC) and poorly-differentiated and anaplastic carcinomas (1~2% of TC), whereas 3~5% of TC is a malignancy of parafollicular C cells derived from the neural crest [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Value of Semiquantitative Analysis of 99mTechnetium-Methoxyisobutylisonitrile (99mTc-MIBI) Imaging in Predicting Early-Stage Cervical Lymph Node Metastasis of Thyroid Carcinoma

Zhu

Zhou

et al. 2017

Med Sci Monit

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BackgroundThe aim of this study was to evaluate the value of semiquantitative analysis (SQA) of 99mTc-MIBI imaging in predicting early-stage cervical lymph node metastasis (CLNM) in thyroid carcinoma (TC).Material/MethodsTC patients (n=106) undergoing surgical resection and histopathological examination were enrolled. All patients received 99mTc-MIBI imaging prior to surgery. P-glycoprotein (P-gp) expression was detected by PT-PCR and immunohistochemistry. With pathological results as the criterion standard, the diagnostic efficiency of 99mTc-MIBI imaging in predicting early-stage CLNM was evaluated. The correlation of P-gp with 99mTc-MIBI imaging was investigated. Logistic regression analysis was applied for analyzing the factors affecting early-stage CLNM.ResultsThe detection rate and misdiagnosis rate of 99mTc-MIBI imaging for early-stage CLNM diagnosis were 87.3% and 12.7%, respectively. Receiver operating characteristic (ROC) curve analysis showed an accuracy of 99mTc-MIBI imaging of 85.85%. Preoperative 99mTc-MIBI scan showed statistical differences between metastasis and non-metastasis groups in early and delayed T/NT and washout rate (all P<0.05). The percentage of P-gp-expressing cells and the expression rate of P-gp gene both exhibited statistical differences between metastasis and no-metastasis groups (both P<0.05). Tumor diameter, lesion distribution, the percentage of P-gp-expressing cells, and the expression rate of P-gp gene were risk factors for CLNM (all P<0.05).Conclusions99mTc-MIBI imaging has value in qualitative diagnosis of early-stage CLNM in TC. Tumor diameter, lesion distribution, the percentage of P-gp-expressing cells, and the expression rate of P-gp gene were risk factors for CLNM.

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“…Thyroid carcinoma is the most common endocrine malignancy, accounting for about 1% of all types of human cancer, with a growing incidence rate reported worldwide [ 1 ]. Over 95% of thyroid carcinomas (TC) derive from follicular epithelial cells [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Gene expression profiling of normal thyroid tissue from patients with thyroid carcinoma

et al. 2016

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Gene expression profiling (GEP) of normal thyroid tissue from 43 patients with thyroid carcinoma, 6 with thyroid adenoma, 42 with multinodular goiter, and 6 with Graves-Basedow disease was carried out with the aim of achieving a better understanding of the genetic mechanisms underlying the role of normal cells surrounding the tumor in the thyroid cancer progression. Unsupervised and supervised analyses were performed to compare samples from neoplastic and non-neoplastic diseases. GEP and subsequent RT-PCR analysis identified 28 differentially expressed genes. Functional assessment revealed that they are involved in tumorigenesis and cancer progression. The distinct GEP is likely to reflect the onset and/or progression of thyroid cancer, its molecular classification, and the identification of new potential prognostic factors, thus allowing to pinpoint selective gene targets with the aim of realizing more precise preoperative diagnostic procedures and novel therapeutic approaches.STATEMENT OF SIGNIFICANCEThis study is focused on the gene expression profiling analysis followed by RT-PCR of normal thyroid tissues from patients with neoplastic and non-neoplastic thyroid diseases. Twenty-eight genes were found to be differentially expressed in normal cells surrounding the tumor in the thyroid cancer. The genes dysregulated in normal tissue samples from patients with thyroid tumors may represent new molecular markers, useful for their diagnostic, prognostic and possibly therapeutic implications.

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Analysis of loss of heterozygsity effect on thyroid tumor with oxyphilia cell locus in familial non medullary thyroid carcinoma in Iranian families

Cited by 8 publications

References 10 publications

Meta-analysis of promoter methylation in eight tumor-suppressor genes and its association with the risk of thyroid cancer

Meta-analysis of promoter methylation in eight tumor-suppressor genes and its association with the risk of thyroid cancer

Diagnostic Value of Semiquantitative Analysis of 99mTechnetium-Methoxyisobutylisonitrile (99mTc-MIBI) Imaging in Predicting Early-Stage Cervical Lymph Node Metastasis of Thyroid Carcinoma

Gene expression profiling of normal thyroid tissue from patients with thyroid carcinoma

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