Role of Thyroglobulin, Neck Ultrasound, Thyroglobulin Antibodies Trend and Diagnostic Whole Body Scan in the Management of Differentiated Thyroid Cancer Patients with Persistent Thyroglobulin Antibodies

Background: During the follow-up of differentiated thyroid cancer patients, the presence of thyroglobulin antibodies makes thyroglobulin measurements unreliable. For this reason, thyroglobulin antibodies measurement and the evaluation of their titer trend are also recommended. Objective: We aimed to identify the best method among stimulated thyroglobulin, thyroglobulin antibodies titer trend, neck ultrasound and diagnostic whole body scan for detecting the presence of disease in a group of differentiated thyroid cancer patients with thyroglobulin antibodies. Patients and methods: We retrospectively reviewed the data of 212 consecutive differentiated thyroid cancer patients with thyroglobulin antibodies referred to us between 2005 and 2007 for performing a diagnostic whole body scan. All patients were evaluated during the first two years after the initial treatment. Results: Diagnostic whole body scan sensitivity and specificity in detecting persistent diseases were 70% and 72%, respectively. Diagnostic whole body scan alone had the best positive and negative predictive values (93% and 32%, respectively). A low sensitivity and specificity (56% and 10%, respectively) for increasing or stable thyroglobulin antibodies titer trends were also identified. A good compromise between sensitivity and specificity was obtained when diagnostic whole body scan, stimulated thyroglobulin and neck ultrasound were combined without considering thyroglobulin antibodies trend evaluations (82% and 45%, respectively). Conclusions: Diagnostic whole body scan plays an important role in detecting persistent disease in differentiated thyroid cancer patients with thyroglobulin antibodies, both alone and in association with other methods. However, its low negative predictive value suggests that when a suspicious persistent disease is present, the use of other imaging methods, such as computed tomography scan or FDG-positron emission computed tomography, is recommended. Finally, from this study, it appears that the thyroglobulin antibodies titer trend does not add any useful information about the disease status in the first two years after initial treatment

Faecalibacterium prausnitzii is not decreased in symptomatic uncomplicated diverticular disease of the colon

In this letter, assessment of the amount of fecal Faecalibacterium prausnitzii in symptomatic uncomplicated diverticular disease (SUDD) is described. Among 44 consecutive patients, comprising 15 SUDD patients, 13 patients with asymptomatic diverticulosis (AD), and 16 healthy controls (HC), the fecal amount of Faecalibacterium prausnitzii was not found to be significantly different between HC, AD and SUDD subjects (p=0.871). Moreover, its count in the HC microbiota (-4.57 +/- 2.15) was lower compared with those in the AD (-4.11 +/- 1.03) and SUDD subjects (-4.03 +/- 1.299). This behavior seems to be different from that occurring in inflammatory bowel disease (IBD) and similar to that of other mucin-degrading species in a SUDD setting

The polymorphism rs2480258 within CYP2E1 is associated with different rates of acrylamide metabolism in vivo in humans

In a recent study, we demonstrated that the variant allele of rs2480258 within intron VIII of CYP2E1 is associated with reduced levels of mRNA, protein, and enzyme activity. CYP2E1 is the most important enzyme in the metabolism of acrylamide (AA) by operating its oxidation into glycidamide (GA). AA occurs in food, is neurotoxic and classified as a probable human carcinogen. The goal of the present study was to further assess the role of rs2480258 by measuring the rate of AA > GA biotransformation in vivo. In blood samples from a cohort of 120 volunteers, the internal doses of AA and GA were assessed by AA and GA adducts to hemoglobin (Hb) measured by mass spectrometry. The rate of biotransformation was assessed by calculating the GA-Hb/AA-Hb ratio. To maximize the statistical power, 60 TT was compared to 60 CC-homozygotes and the results showed that TT homozygotes had a statistically significant reduced rate of biotransformation. Present results reinforced the notion that T-allele of rs2480258 is a marker of low functional activity of CYP2E1. Moreover, we studied the role of polymorphisms (SNPs) within glutathione-S-transferases (GSTs) enzymes and epoxide hydrolase (EPHX), verifying previous findings that SNPs within GSTs and EPHX influence the metabolism rate

Association between CYP2E1 polymorphisms and risk of differentiated thyroid carcinoma

Differentiated thyroid carcinoma (DTC) results from complex interactions between genetic and environmental factors. Known etiological factors include exposure to ionizing radiations, previous thyroid diseases, and hormone factors. It has been speculated that dietary acrylamide (AA) formed in diverse foods following the Maillard's reaction could be a contributing factor for DTC in humans. Upon absorption, AA is biotransformed mainly by cytochrome P450 2E1 (CYP2E1) to glycidamide (GA). Considering that polymorphisms within CYP2E1 were found associated with endogenous levels of AA-Valine and GA-Valine hemoglobin adducts in humans, we raised the hypothesis that specific CYP2E1 genotypes could be associated with the risk of DTC. Analysis of four haplotype tagging SNPs (ht-SNPs) within the locus in a discovery case-control study (N = 350/350) indicated an association between rs2480258 and DTC risk. This ht-SNP resides within a linkage disequilibrium block spanning intron VIII and the 3'-untranslated region. Extended analysis in a large replication set (2429 controls and 767 cases) confirmed the association, with odds ratios for GA and AA genotypes of 1.24 (95 % confidence interval (CI) 1.03-1.48) and 1.56 (95 % CI, 1.06-2.30), respectively. Functionally, the minor allele was associated with low levels of CYP2E1 mRNA and protein expression as well as lower enzymatic activity in a series of 149 human liver samples. Our data support the hypothesis that inter-individual differences in CYP2E1 activity could modulate the risk of developing DTC suggesting that the exposure to specific xenobiotics, such as AA, could play a role in this process

Obesity and the Risk of Papillary Thyroid Cancer: A Pooled Analysis of Three Case-Control Studies.

Background: There is a correlation between temporal trends of obesity prevalence and papillary thyroid cancer (PTC) incidence in the United States. Obesity is a well-recognized risk factor for many cancers, but there are few studies on the association between obesity and PTC risk. We investigated the association between anthropometric measurements and PTC risk using pooled individual data from three case–control populations. Methods: Height and weight information were obtained from three independent case–control studies, including 1917 patients with PTC (1360 women and 557 men) and 2127 cancer-free controls from the United States, Italy, and Germany. Body mass index (BMI), body fat percentage, and body surface area (BSA) were calculated. An unconditional logistic regression model was used to calculate odds ratios (ORs) and confidence intervals (CIs) with respect to risk of PTC, adjusted by age, sex, race/ethnicity, and study site. Results: In the pooled population, for both men and women, an increased risk of PTC was found to be associated with greater weight, BMI, body fat percentage, and BSA, whereas a reduced risk of PTC was associated with greater height, in the pooled population for both men and women. Compared with normal-weight subjects (BMI 18.5–24.9 kg/m2), the ORs for overweight (BMI 25–29.9 kg/m2) and obese (BMI ‡ 30 kg/m2) subjects were 1.72 [CI 1.48–2.00] and 4.17 [CI 3.41–5.10] respectively. Compared with the lowest quartile of body fat percentage, the ORs for the highest quartile were 3.83 [CI 2.85–5.15] in women and 4.05 [CI 2.67– 6.15] in men. Conclusion: Anthropometric factors, especially BMI and body fat percentage, were significantly associated with increased risk of PTC. Future studies of anthropometric factors and PTC that incorporate intermediate factors, including adiposity and hormone biomarkers, are essential to help clarify potential mechanisms of the relationship

Genetic signature of differentiated thyroid carcinoma susceptibility: a machine learning approach

To identify a peculiar genetic combination predisposing to differentiated thyroid carcinoma (DTC), we selected a set of single-nucleotide polymorphisms (SNPs) associated with DTC risk, considering polygenic risk score (PRS), Bayesian statistics, and a machine learning (ML) classifier to describe cases and controls in 3 different datasets. Dataset 1 (649 DTC, 431 controls) has been previously genotyped in a genome-wide association study (GWAS) on Italian DTC. Dataset 2 (234 DTC, 101 controls) and dataset 3 (404 DTC, 392 controls) were genotyped. Associations of 171 SNPs reported to predispose to DTC in candidate studies were extracted from the GWAS of dataset 1, followed by replication of SNPs associated with DTC risk (P<0.05) in dataset 2. The reliability of the identified SNPs was confirmed by PRS and Bayesian statistics after merging the three datasets. SNPs were used to describe the case/control state of individuals by ML classifier. Starting from 171 SNPs associated with DTC, 15 were positive in both the datasets 1 and 2. Using these markers, PRS revealed that individuals in the fifth quintile had a 7-fold increased risk of DTC than those in the first. Bayesian inference confirmed that the selected 15 SNPs differentiate cases from controls. Results were corroborated by ML, finding a maximum AUC of about 0.7. A restricted selection of only 15 DTC-associated SNPs is able to describe the inner genetic structure of Italian individuals and ML allows a fair prediction of case or control status based solely on the individual genetic background

BRAF V600E Status Sharply Differentiates Lymph Node Metastasis-associated Mortality Risk in Papillary Thyroid Cancer

[Context]: How lymph node metastasis (LNM)-associated mortality risk is affected by BRAF V600E in papillary thyroid cancer (PTC) remains undefined. [Objective]: To study whether BRAF V600E affected LNM-associated mortality in PTC. [Design, Setting, and Participants]: We retrospectively analyzed the effect of LNM on PTC-specific mortality with respect to BRAF status in 2638 patients (2015 females and 623 males) from 11 centers in 6 countries, with median age of 46 [interquartile range (IQR) 35-58] years and median follow-up time of 58 (IQR 26-107) months. [Results]: Overall, LNM showed a modest mortality risk in wild-type BRAF patients but a strong one in BRAF V600E patients. In conventional PTC (CPTC), LNM showed no increased mortality risk in wild-type BRAF patients but a robustly increased one in BRAF V600E patients; mortality rates were 2/659 (0.3%) vs 4/321 (1.2%) in non-LNM vs LNM patients (P = 0.094) with wild-type BRAF, corresponding to a hazard ratio (HR) (95% CI) of 4.37 (0.80-23.89), which remained insignificant at 3.32 (0.52-21.14) after multivariate adjustment. In BRAF V600E CPTC, morality rates were 7/515 (1.4%) vs 28/363 (7.7%) in non-LNM vs LNM patients (P < 0.001), corresponding to an HR of 4.90 (2.12-11.29) or, after multivariate adjustment, 5.76 (2.19-15.11). Adjusted mortality HR of coexisting LNM and BRAF V600E vs absence of both was 27.39 (5.15-145.80), with Kaplan-Meier analyses showing a similar synergism. [Conclusions]: LNM-associated mortality risk is sharply differentiated by the BRAF status in PTC; in CPTC, LNM showed no increased mortality risk with wild-type BRAF but a robust one with BRAF mutation. These results have strong clinical relevance.This work was supported partly by the following funding at the individual participating centers: Polish National Center of Research and Development MILESTONE Project—molecular diagnostics and imaging in individualized therapy for breast, thyroid and prostate cancer, grant No. STRATEGMED2/267398/4/ NCBR/2015 (Poland, AC, BJ); Grants No. PID2019-105303RB-I00 (AEI from MICINN), GCB14142311CRES (AECC Foundation), and B2017/BMD-3724 TIRONET2-CM (Spain; PS and GR-E); Grant No. AZV 16-32665A and MH CZ-DRO (Institute of Endocrinology-EU, 00023761) (Czech Republic; BB, VS); NIH/ National Institute on Aging Grant No. 5R03AG042334-02 (LY); and grants from the Qingdao Science and Technology Project for People’s Livelihood No.13-1-3-58-nsh (China; FW) and the Innovative Platform Project of Qingdao No.12-1-2-15-jch (China; YW)

Novel genetic variants in differentiated thyroid cancer and assessment of the cumulative risk

A genome-wide association study (GWAS) performed on a high-incidence Italian population followed by replications on low-incidence cohorts suggested a strong association of differentiated thyroid cancer (DTC) with single nucleotide polymorphisms (SNPs) at 9q22.33, 2q35, 20q11.22-q12 and 14q24.3. Moreover, six additional susceptibility loci were associated with the disease only among Italians. The present study had two aims, first to identify loci involved in DTC risk and then to assess the cumulative effect of the SNPs identified so far in the Italian population. The combined analysis of the previous GWAS and the present Italian study provided evidence of association with rs7935113 (GALNTL4, OR = 1.36, 95%CI 1.20-1.53, p-value = 7.41 × 10) and rs1203952 (FOXA2, OR = 1.29, 95%CI 1.16-1.44, p-value = 4.42 × 10). Experimental ENCODE and eQTL data suggested that both SNPs may influence the closest genes expression through a differential recruitment of transcription factors. The assessment of the cumulative risk of eleven SNPs showed that DTC risk increases with an increasing number of risk alleles (p-trend = 3.13 × 10 â '47). Nonetheless, only a small fraction (about 4% on the disease liability scale) of DTC is explained by these SNPs. These data are consistent with a polygenic model of DTC predisposition and highlight the importance of association studies in the discovery of the disease hereditability

Medullary thyroid carcinoma (MTC) and RET proto-oncogene: Mutation spectrum in the familial cases and a meta-analysis of studies on the sporadic form.

Medullary thyroid carcinoma (MTC) is an uncommon malignant tumor arising from the calcitonin-producing parafollicular cells (C cells) of thyroid. It accounts for 5-10% of all thyroid cancers, and it mostly occurs as a sporadic entity (sMTC), but a familial pattern (fMTC) is also possible. RET proto-oncogene germline mutations are crucial for the onset and the progression of fMTC, and the occurrence of single nucleotide polymorphisms could predispose to the sporadic form. In order to clarify the role of this gene in MTC, we carefully reviewed the PubMed database using appropriate terms. First, we summarized current knowledge of the germline RET mutations, mutation spectrum, and prevalence. We then performed a meta-analysis on the available case-control association studies for sMTC. Finally, we carried out in silico predictions of the best associated variants in the attempt to better define their role in the disease. To date, a total of 39 different RET germline mutations have been identified in fMTC families. The most affected codons are 609, 611, 618, 620 (exon 10) and 634 (exon 11), encoding for the extracellular cysteine-rich domain, and codons 768 (exon 13) and 804 (exon 14) of the intracellular tyrosine kinase domain. Six polymorphisms with at least three studies were included in the meta-analysis (A45A [rs1800858], G691S [rs1799939], L769L [rs1800861], S836S [rs1800862], S904S [rs1800863], and IVS1-126G>T [rs2565206]). The meta-analysis demonstrated a modest association of sMTC susceptibility with S836S and a strong association with the IVS1-126G>T polymorphism. Besides RET polymorphisms, we also investigated the role of a few other low-penetrance alleles of genes involved in the RET pathway or in xenobiotic metabolism, but none of these were confirmed. Thus, despite the well-known molecular basis of fMTC, the genetic variants of the sporadic form are still poorly understood, and functional analyses are needed to better understand the consequence of such RET variants and to improve our knowledge on the disease