Plasma metabolites analysis of patients with papillary thyroid cancer: A preliminary untargeted 1H NMR-based metabolomics

Metabolomics plays a crucial role in identifying molecular biomarkers that can differentiate pathological conditions. In the case of thyroid cancer, it is essential to accurately diagnose malignancy from benignity to avoid unnecessary surgeries. The objective of this research was to apply untargeted NMR-based metabolomics in order to identify metabolic biomarkers that can distinguish between plasma samples of patients with papillary thyroid cancer (PTC) and multinodular goiter (MNG), as well as PTC and healthy individuals. The study included a cohort of 55 patients who were divided into three groups: PTC (n=20), MNG (n=16), and healthy (n=19). Plasma samples were collected from all participants and subjected to 1H NMR spectroscopy. Differential metabolites were identified using chemometric pattern recognition algorithms. The obtained metabolic profile had the potential to differentiate PTC from healthy plasma, but not from MNG. In patients diagnosed with PTC, a total of 18 compounds were discovered, revealing elevated levels of leucine, lysine, and 4-acetamidobutyric acid, while acetate, proline, acetoacetate, 3-hydroxybutyrate, glutamate, pyruvate, cystine, glutathione, asparagine, ethanolamine, histidine, tyrosine, myo-inositol, and glycerol along with a lipid compound were found to be lower in comparison to those of healthy individuals. According to the area under the curve (AUC) of the receiver operating characteristic curve, this particular profile exhibited an impressive capability of 85% to discern PTC from healthy subjects (AUC=0.853, sensitivity=78.95, specificity=84.21). The utilization of the 1H NMR-based metabolomics approach revealed considerable promise in the identification of PTC from healthy plasma specimens. The modifications noticed in the plasma metabolites have the potential to act as practical biomarkers that are non-invasive and could suggest transformations in the metabolic profile of thyroid tumors.

Metabolite signature of human malignant thyroid tissue: A systematic review and meta-analysis

BACKGROUND

Thyroid cancer (TC) is the predominant malignancy within the endocrine system. However, the standard method for TC diagnosis lacks the capability to identify the pathological condition of all thyroid lesions. The metabolomics approach has the potential to manage this problem by identifying differential metabolites.

AIMS

This study conducted a systematic review and meta-analysis of the NMR-based metabolomics studies in order to identify significant altered metabolites associated with TC.

METHODS

A systematic search of published literature in any language in three databases including Embase, PubMed, and Scopus was conducted. Out of 353 primary articles, 12 studies met the criteria for inclusion in the systematic review. Among these, five reports belonging to three articles were eligible for meta-analysis. The correlation coefficient of the orthogonal partial least squares discriminant analysis, a popular model in the multivariate statistical analysis of metabolomic data, was chosen for meta-analysis. The altered metabolites were chosen based on the fact that they had been found in at least three studies.

RESULTS

In total, 49 compounds were identified, 40 of which were metabolites. The increased metabolites in thyroid lesions compared normal samples included lactate, taurine, alanine, glutamic acid, glutamine, leucine, lysine, phenylalanine, serine, tyrosine, valine, choline, glycine, and isoleucine. Lipids were the decreased compounds in thyroid lesions. Lactate and alanine were increased in malignant versus benign thyroid lesions, while, myo-inositol, scyllo-inositol, citrate, choline, and phosphocholine were found to be decreased. The meta-analysis yielded significant results for three metabolites of lactate, alanine, and citrate in malignant versus benign specimens.

DISCUSSION

In this study, we provided a concise summary of 12 included metabolomic studies, making it easier for future researchers to compare their results with the prior findings.

CONCLUSION

It appears that the field of TC metabolomics will experience notable advancement, leading to the discovery of trustworthy diagnostic and prognostic biomarkers.

Elevated Plasma Levels of MT4-MMP and MT6-MMP; A New Observation in Patients with Thyroid Nodules

BACKGROUND

Based on the critical role of MT4-MMP and MT6-MMP in carcinogenesis, we focused on MT4-MMP and MT6-MMP circulating levels in patients with thyroid nodules.

METHODS

Plasma samples were collected from three groups, including papillary thyroid cancer (PTC; n=30), multinodular goiter (MNG; n=30), and healthy subjects (n=22). Enzyme-linked immunosorbent assay (ELISA) was used to obtain the concentration of MT4-MMP and MT6-MMP in the three groups.

RESULTS

Analysis of data demonstrated increased levels of MT4-MMP (PTC: 4.90±1.35, MNG: 4.89±1.37, and healthy: 3.13±1.42) and MT6-MMP (PTC: 8.29±2.50, MNG: 7.34±2.09, and healthy:5.01±2.13) in thyroid nodules by comparison with healthy subjects (P<0.05). There were no significant differences in the levels of the two MT-MMPs between PTC and MNG (P>0.05). Increased plasma levels of MT4-MMP (odds ratio=2.48; 95% CI: 1.46-4.19; P=0.001) or MT6-MMP (odds ratio=1.81; 95% CI: 1.29-2.53; P=0.001) were associated with increased risk of PTC tumorigenesis. Interestingly, a strong positive association was observed between MT4-MMP and MT6-MMP in the three groups (PTC: r=0.766**, P=0.000; MNG: r=0.856**, P=0.000; healthy r=0.947**, P=0.000). Areas under the ROC curve for MT4-MMP and MT6-MMP were 0.82 and 0.96, respectively. At the cutoff value>4.7 (ng/mL), MT4-MMP and MT6-MMP showed a sensitivity of 63.3% and 90.0%, respectively, with 100% specificity.

CONCLUSION

Our work has led us to imply that the higher levels of MT4-MMP and MT6-MMP are closely linked with both PTC and MNG tumorigenesis. They may probably promote the development of thyroid lesions; however, more research is needed to further clarify the current findings.

New evidence on tumor suppressor activity of PTEN and KLLN in papillary thyroid carcinoma

This study aimed to address the hypothesis that the expression of PTEN and KLLN tumor suppressor genes could diminish in papillary thyroid cancer (PTC) compared to paired normal tissue (PNT) and multinodular goiter (MNG). PTEN and KLLN expressions were assessed at both mRNA and protein levels in 82 tissue samples, including 30 PTC, 30 PNT, and 26 MNG using SYBR-Green Real-Time PCR and enzyme-linked immunosorbent assay (ELISA), respectively. Bioinformatics studies were performed to evaluate the genomic location and the genes promoter region. The mRNA expression of PTEN and KLLN in PTC was significantly lower than PNT (PTEN, P = 0.0033; KLLN, P = 0.0005). A significant decrease in the mRNA level of KLLN was also observed in PTC than MNG (P = 0.0304). Decreased level of PTEN mRNA (odds ratio=0.391; P = 0.013) or KLLN mRNA (odds ratio=0.023; P = 0.025) was associated with an increased risk of PTC tumorigenesis. Areas under the ROC curve for PTEN and KLLN were 0.69 and 0.78, respectively. PTEN and KLLN protein expressions in PTC compared to PNT or MNG were not significantly different. The bioinformatics studies revealed the sequence near the promoter region is lowly conserved across species. Four GC boxes were found upstream of the PTEN transcription start site (TSS), and one TATA box and one GC box were found upstream of KLLN TSS. The results suggest PTEN and KLLN are the two tumor suppressor genes that decreasing or loss of both of them occurs in sporadic PTC tumorigenesis. It appears they could have a promising application in both diagnostic and therapeutic areas.

The impact of pre-analytical variations on biochemical analytes stability: A systematic review

Objective

A common problem in clinical laboratories is maintaining the stability of analytes during pre‐analytical processes. The aim of this study was to systematically summarize the results of a set of studies about the biochemical analytes stability.

Methods

A literature search was performed on the Advanced search field of PubMed using the keywords: “(stability) AND (analytes OR laboratory analytes OR laboratory tests OR biochemical analytes OR biochemical tests OR biochemical laboratory tests).” A total of 56 entries were obtained. After applying the selection criteria, 20 articles were included in the study.

Results

In the 20 included references, up to 123 different analytes were assessed. The 34 analytes in order of the most frequently studied analytes were evaluated: Alanine aminotransferase, aspartate aminotransferase, potassium, triglyceride, alkaline phosphatase, creatinine, total cholesterol, albumin, lactate dehydrogenase, sodium, calcium, γ‐glutamyltransferase, total bilirubin, urea, creatine kinase, inorganic phosphate, total protein, uric acid, amylase, chloride, high‐density lipoprotein, magnesium, glucose, C‐reactive protein, bicarbonate, ferritin, iron, lipase, transferrin, cobalamin, cortisol, folate, free thyroxine, and thyroid‐stimulating hormone. Stable test results could be varied between 2 hours and 1 week according to the type of samples and/or type of blood collection tubes on a basic classification set as refrigerated or room temperature.

Conclusions

Biochemical analytes stability could be improved if the best pre‐analytical approaches are used.

Plasma Metabolic Profiling of Human Thyroid Nodules by Gas Chromatography-Mass Spectrometry (GC-MS)-Based Untargeted Metabolomics

One of the challenges in the area of diagnostics of human thyroid cancer is a preoperative diagnosis of thyroid nodules with indeterminate cytology. Herein, we report an untargeted metabolomics analysis to identify circulating thyroid nodule metabolic signatures, to find new novel metabolic biomarkers. Untargeted gas chromatography-quadrupole-mass spectrometry was used to ascertain the specific plasma metabolic changes of thyroid nodule patients, which consisted of papillary thyroid carcinoma (PTC; n = 19), and multinodular goiter (MNG; n = 16), as compared to healthy subjects (n = 20). Diagnostic models were constructed using multivariate analyses such as principal component analysis, orthogonal partial least squares-discriminant analysis, and univariate analysis including One-way ANOVA and volcano plot by MetaboAnalyst and SIMCA software. Because of the multiple-testing issue, false discovery rate p-values were also computed for these functions. A total of 60 structurally annotated metabolites were subjected to statistical analysis. A combination of univariate and multivariate statistical analyses revealed a panel of metabolites responsible for the discrimination between thyroid nodules and healthy subjects, with variable importance in the projection (VIP) value greater than 0.8 and p-value less than 0.05. Significantly altered metabolites between thyroid nodules versus healthy persons are those associated with amino acids metabolism, the tricarboxylic acid cycle, fatty acids, and purine and pyrimidine metabolism, including cysteine, cystine, glutamic acid, α-ketoglutarate, 3-hydroxybutyric acid, adenosine-5-monophosphate, and uracil, respectively. Further, sucrose metabolism differed profoundly between thyroid nodule patients and healthy subjects. Moreover, according to the receiver operating characteristic (ROC) curve analysis, sucrose could discriminate PTC from MNG (area under ROC curve value = 0.92). This study enhanced our understanding of the distinct metabolic pathways associated with thyroid nodules, which enabled us to distinguish between patients and healthy subjects. In addition, our study showed extensive sucrose metabolism in the plasma of thyroid nodule patients, which provides a new metabolic signature of the thyroid nodule’s tumorigenesis. Accordingly, it suggests that sucrose can be considered as a circulating biomarker for differential diagnosis between malignancy and benignity in indeterminate thyroid nodules.

Circulating levels of PTEN and KLLN in papillary thyroid carcinoma: can they be considered as novel diagnostic biomarkers?

PURPOSE

PTEN and KLLN are two tumor suppressor genes located in 10q23, share a bidirectional promoter and have roles in carcinogenesis. Formerly, the role of PTEN mutations and KLLN epimutations were identified in incidence of thyroid lesions in individuals with Cowden syndrome, a rare autosomal dominant inherited disorder. This study is the first of its type to assess PTEN and KLLN circulating levels in patients with sporadic papillary thyroid carcinoma (PTC) and compare to patients with multinodular goiter (MNG) and healthy individuals.

METHODS

Plasma levels of PTEN and KLLN were determined by enzyme-linked immunosorbent assay in three groups consisted of PTC (n = 33), MNG (n = 26) and healthy persons (n = 30). The association of demographic/pathological characteristics with the levels of PTEN and KLLN were evaluated.

RESULTS

A significant lower plasma levels of PTEN and KLLN were observed in PTC patients compared with those of healthy persons (PTEN, 9.43 ± 3.20 vs. 16.96 ± 1.28 ng/ml, P = 0.000; KLLN, 1.81 ± 0.83 vs. 2.57 ± 1.09 ng/ml, P = 0.005), while no statistical difference was found between PTC and MNG groups. Patients with MNG lesion had significantly lower levels of PTEN/KLLN (PTEN, 9.62 ± 2.97 vs. 16.96 ± 1.28 ng/ml, P = 0.000; KLLN, 1.34 ± 0.86 vs. 2.57 ± 1.09 ng/ml, P = 0.000) compared to the healthy controls. The demographic/pathological characteristics did not demonstrate an association with the levels of PTEN and KLLN.

CONCLUSIONS

The study suggests that the lowered levels of PTEN and KLLN are associated with both sporadic PTC and MNG tumorigenesis, but they cannot be considered as circulating biomarkers for differential diagnosis between malignancy and benignity in indeterminate thyroid nodules.

Mast cells and myelofibrosis

Autopsy of a patient with well-documented myelofibrosis revealed marked proliferation of mast cells associated with areas of bone-marrow and splenic fibrosis. The findings suggest that the local fibrosis represents the healed phase of an inflammatory reaction mediated by mast cells via the release of histamine into the tissue spaces. Tissue mastocytosis may be the pathogenetic mechanism in some cases of myelofibrosis.