Dataset Information

Metformin Is Associated with a Favorable Outcome in Diabetic Patients with Cervical Lymph Node Metastasis of Differentiated Thyroid Cancer.

ABSTRACT:

Background and objective

Type 2 diabetes is known to increase the risk and progression of certain types of cancer. Metformin treatment of diabetic patients is reported to have beneficial effects on some cancers. We evaluated the clinical outcome of diabetic patients with differentiated thyroid cancer (DTC) according to metformin treatment.

Methods

We reviewed 943 patients diagnosed with DTC after total thyroidectomy between 1995 and 2005 in a tertiary hospital. The study involved 60 diabetic patients and 210 control patients matched for age, sex, body mass index (BMI), and tumor size.

Results

There were no differences in the clinicopathological features and disease-free survival (DFS) between diabetic patients and the control group over 8.9 years of follow-up. Of the diabetic patients with DTC, 35 patients (58%) were treated with metformin. There were no differences in age, sex, BMI, tumor size, antidiabetic medication, glycated hemoglobin, or C-peptide levels in metformin and nonmetformin groups. However, cervical lymph node (LN) metastasis was more prevalent in the metformin group than in the nonmetformin group (OR 3.52, p = 0.035). Among diabetic patients with cervical LN metastasis of DTC, the metformin subgroup (17.1 years) was associated with longer DFS than the nonmetformin subgroup (8.6 years) (HR 0.16, p = 0.021); metformin treatment was also associated with longer DFS in this subgroup in multivariate analysis after adjusting age, BMI, duration of diabetes, presence of tumor at resection margin, and serum thyroglobulin level at ablation (HR 0.03, p = 0.035).

Conclusions

Metformin treatment is associated with low recurrence in diabetic patients with cervical LN metastasis of DTC.

SUBMITTER: Jang EK

PROVIDER: S-EPMC4637518 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Publications

Metformin Is Associated with a Favorable Outcome in Diabetic Patients with Cervical Lymph Node Metastasis of Differentiated Thyroid Cancer.

Jang Eun Kyung EK Kim Won Gu WG Kwon Hyemi H Choi Yun Mi YM Jeon Min Ji MJ Kim Tae Yong TY Shong Young Kee YK Kim Won Bae WB Kim Eui Young EY

European thyroid journal 20150820 3

<h4>Background and objective</h4>Type 2 diabetes is known to increase the risk and progression of certain types of cancer. Metformin treatment of diabetic patients is reported to have beneficial effects on some cancers. We evaluated the clinical outcome of diabetic patients with differentiated thyroid cancer (DTC) according to metformin treatment.<h4>Methods</h4>We reviewed 943 patients diagnosed with DTC after total thyroidectomy between 1995 and 2005 in a tertiary hospital. The study involved ...[more]

PMID: 26558235

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Project description:BackgroundDistant metastasis (DM) is a rare event and has a negative effect on the prognosis for papillary thyroid carcinoma (PTC). The relationship between cervical lymph node metastasis and DM is complicated and unclear. This study aimed to evaluate the impact of N stage subclassification on different distant metastasis sites based on age stratification, especially for patients with papillary thyroid microcarcinoma.MethodsA total of 28,712 patient with PTC cases between 2010 and 2018 were extracted from the Surveillance, Epidemiology, and End Results database. Multivariable logistic regression analysis was utilized to adjust for confounding variables. Risk stratification, including positive lymph node number and lymph node ratio, was established by receiver operating characteristic curves to help predict DM.ResultsLung was the most common metastatic site regardless of N0, N1a disease, or N1b disease. As the N stage increased, the higher the rate of DM identified. After age stratification, only N1b disease significantly increased the risk of lung metastasis (LM; odds ratio, OR = 20.45, P < 0.001) rather than bone metastasis (BM; OR = 3.46, P > 0.05) in younger patients. However, in older patients, N1b disease significantly increased the risk of both LM (OR = 4.10, P < 0.001) and BM (OR = 2.65, P = 0.007). In patients with papillary thyroid microcarcinoma (PTMC), N1a disease did not increase the risk of DM, LM, and BM compared with N0 disease (P > 0.05). Furthermore, combined N stage with risk stratification has well performance in predicting DM (area under the curve, AUC = 0.761). Similar results were shown in PTC patients with LM (AUC = 0.770) and BM (AUC = 0.729).ConclusionOverall, the incidence of DM significantly increased with the progress of N disease after age stratification. N1a disease did not increase the risk of DM in PTMC patients, regardless of LM or BM. Combined N stage with risk stratification may be beneficial for DM prediction.

Project description:BackgroundPapillary thyroid carcinoma (PTC) is characterized by frequent metastases to cervical lymph nodes (CLNs), and the presence of lymph node metastasis at diagnosis has a significant impact on the surgical approach. Therefore, we established a radiomic signature to predict the CLN status of PTC patients using preoperative thyroid ultrasound, and investigated the association between the radiomic features and underlying molecular characteristics of PTC tumors.MethodsIn total, 270 patients were enrolled in this prospective study, and radiomic features were extracted according to multiple guidelines. A radiomic signature was built with selected features in the training cohort and validated in the validation cohort. The total protein extracted from tumor samples was analyzed with LC/MS and iTRAQ technology. Gene modules acquired by clustering were chosen for their diagnostic significance. A radiogenomic map linking radiomic features to gene modules was constructed with the Spearman correlation matrix. Genes in modules related to metastasis were extracted for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, and a protein-protein interaction (PPI) network was built to identify the hub genes in the modules. Finally, the screened hub genes were validated by immunohistochemistry analysis.ResultsThe radiomic signature showed good performance for predicting CLN status in training and validation cohorts, with area under curve of 0.873 and 0.831 respectively. A radiogenomic map was created with nine significant correlations between radiomic features and gene modules, and two of them had higher correlation coefficient. Among these, MEmeganta representing the upregulation of telomere maintenance via telomerase and cell-cell adhesion was correlated with 'Rectlike' and 'deviation ratio of tumor tissue and normal thyroid gland' which reflect the margin and the internal echogenicity of the tumor, respectively. MEblue capturing cell-cell adhesion and glycolysis was associated with feature 'minimum calcification area' which measures the punctate calcification. The hub genes of the two modules were identified by protein-protein interaction network. Immunohistochemistry validated that LAMC1 and THBS1 were differently expressed in metastatic and non-metastatic tissues (p=0.003; p=0.002). And LAMC1 was associated with feature 'Rectlike' and 'deviation ratio of tumor and normal thyroid gland' (p<0.001; p<0.001); THBS1 was correlated with 'minimum calcification area' (p<0.001).ConclusionsThe radiomic signature proposed here has the potential to noninvasively predict the CLN status in PTC patients. Merging imaging phenotypes with genomic data could allow noninvasive identification of the molecular properties of PTC tumors, which might support clinical decision making and personalized management.

Dataset Information

Metformin Is Associated with a Favorable Outcome in Diabetic Patients with Cervical Lymph Node Metastasis of Differentiated Thyroid Cancer.

Background and objective

Methods

Results

Conclusions

Publications

Metformin Is Associated with a Favorable Outcome in Diabetic Patients with Cervical Lymph Node Metastasis of Differentiated Thyroid Cancer.

Similar Datasets

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