TREM1 fosters an immunosuppressive tumor microenvironment in papillary thyroid cancer

2021 ◽  
Author(s):  
Yang Zhao ◽  
Cangang Zhang ◽  
Yanan Zhu ◽  
Xi Ding ◽  
Yikun Zhou ◽  
...  
Keyword(s):  
T Cells ◽  
Thyroid Cancer ◽  
Papillary Thyroid Cancer ◽  
Molecular Mechanisms ◽  
Methylation Status ◽  
Disease Free Survival ◽  
Papillary Thyroid ◽  
Advanced Tumor ◽  
Tumor Stages ◽  
Immunosuppressive Microenvironment

The immunosuppressive microenvironment is associated with poor prognosis in papillary thyroid cancer (PTC); however, the molecular mechanisms involved are unknown. Among triggering receptor expressed on myeloid cell (TREM) family, we found that TREM1 expression in PTC was significantly higher than that in normal tissues. TREM1 overexpression was associated with BRAFV600E profiles and advanced tumor stages. Furthermore, TREM1 mRNA expression was negatively correlated with promoter methylation status. Specifically, hypomethylation of CpG site cg06196379 in the TREM1 promoter was related with poor patient disease free survival (DFS) and a high PTC recurrence rate. Mechanistically, TREM1 was mainly expressed in malignant epithelial cells but not macrophages in PTC by single-cell analysis. PTC tissues with high TREM1 levels had enhanced infiltration of regulatory T cells (Tregs) and decreased infiltration of CD8+ T cells. Our study confirms that hypomethylation-mediated overexpression of TREM1 in PTC cells promotes an immunosuppressive microenvironment by enhancing Treg infiltration. We recommend the future use of therapeutic strategy targeting TREM1 for the treatment of PTC.

BRAFV600E Mutation is Associated with Decreased Disease-Free Survival in Papillary Thyroid Cancer

2016 ◽  
Vol 40 (7) ◽  
pp. 1618-1624 ◽  
Author(s):  
S. Fraser ◽  
C. Go ◽  
A. Aniss ◽  
S. Sidhu ◽  
L. Delbridge ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Papillary Thyroid Cancer ◽  
Disease Free Survival ◽  
Papillary Thyroid ◽  
Brafv600e Mutation ◽  
Free Survival ◽  
Disease Free

scholarly journals Comprehensive Analysis of Prognostic Alternative Splicing Signature Reveals Recurrence Predictor for Papillary Thyroid Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Mian Liu ◽  
Rooh Afza Khushbu ◽  
Pei Chen ◽  
Hui-Yu Hu ◽  
Neng Tang ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Alternative Splicing ◽  
Papillary Thyroid Cancer ◽  
Molecular Mechanisms ◽  
Prediction Models ◽  
Cox Regression ◽  
Prognostic Biomarkers ◽  
Papillary Thyroid ◽  
Network Diagram ◽  
Prognostic Prediction

BackgroundAlternative splicing (AS) plays a key role in the diversity of proteins and is closely associated with tumorigenicity. The aim of this study was to systemically analyze RNA alternative splicing (AS) and identify its prognostic value for papillary thyroid cancer (PTC).MethodsAS percent-splice-in (PSI) data of 430 patients with PTC were downloaded from the TCGA SpliceSeq database. We successfully identified recurrence-free survival (RFS)-associated AS events through univariate Cox regression, LASSO regression and multivariate regression and then constructed different types of prognostic prediction models. Gene function enrichment analysis revealed the relevant signaling pathways involved in RFS-related AS events. Simultaneously, a regulatory network diagram of AS and splicing factors (SFs) was established.ResultsWe identified 1397 RFS-related AS events which could be used as the potential prognostic biomarkers for PTC. Based on these RFS-related AS events, we constructed a ten-AS event prognostic prediction signature that could distinguish high-and low-risk patients and was highly capable of predicting PTC patient prognosis. ROC curve analysis revealed the excellent predictive ability of the ten-AS events model, with an area under the curve (AUC) value of 0.889; the highest prediction intensity for one-year RFS was 0.923, indicating that the model could be used as a prognostic biomarker for PTC. In addition, the nomogram constructed by the risk score of the ten-AS model also showed high predictive efficiency for the prognosis of PTC patients. Finally, the constructed SF-AS network diagram revealed the regulatory role of SFs in PTC.ConclusionThrough the limited analysis, AS events could be regarded as reliable prognostic biomarkers for PTC. The splicing correlation network also provided new insight into the potential molecular mechanisms of PTC.

scholarly journals Association of High Iodine Intake with the T1799A BRAF Mutation in Papillary Thyroid Cancer

2009 ◽  
Vol 94 (5) ◽  
pp. 1612-1617 ◽  
Author(s):  
Haixia Guan ◽  
Meiju Ji ◽  
Rong Bao ◽  
Hongyu Yu ◽  
Yangang Wang ◽  
...  
Keyword(s):  
Risk Factor ◽  
Thyroid Cancer ◽  
Papillary Thyroid Cancer ◽  
Braf Mutation ◽  
Significant Risk ◽  
Iodine Content ◽  
Iodine Intake ◽  
Papillary Thyroid ◽  
High Iodine ◽  
Tumor Stages

Abstract Context: Epidemiological studies have indicated that high iodine intake might be a risk factor for papillary thyroid cancer (PTC), which commonly harbors the oncogenic T1799A BRAF mutation. Objective: The objective of the study was to investigate the relationship between BRAF mutation in PTC and iodine intake in patients. Subjects and Methods: We analyzed and compared the prevalences of the T1799A BRAF mutation in classical PTC of 1032 patients from five regions in China that uniquely harbor different iodine contents in natural drinking water, ranging from normal (10–21 μg/liter) to high (104–287 μg/liter). The BRAF mutation was identified by direct DNA sequencing. Results: The prevalence of BRAF mutation was significantly higher in any of the regions with high iodine content than any of the regions with normal iodine content. Overall, BRAF mutation was found in 387 of 559 PTC with high iodine content (69%) vs. 252 of 473 PTC with normal iodine content (53%), with an odds ratio of 1.97 (95% confidence interval 1.53–2.55) for the association of BRAF mutation with high iodine content (P < 0.0001). In addition, clinicopathological correlation analysis, the largest one of its type ever, showed that BRAF mutation was significantly associated with extrathyroidal invasion, lymph node metastasis, and advanced tumor stages of PTC. Conclusions: High iodine intake seems to be a significant risk factor for the occurrence of BRAF mutation in thyroid gland and may therefore be a risk factor for the development of PTC. This large study also confirmed the association of BRAF mutation with poorer clinicopathological outcomes of PTC.

scholarly journals KIFC1 accelerates the proliferation, migration and invasion of papillary thyroid cancer cells via MAPK signaling

2020 ◽  
Author(s):  
Chunlei Nie ◽  
Jihua Han ◽  
Wen Bi ◽  
Lili Chen ◽  
Jiawei Yu ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Papillary Thyroid Cancer ◽  
Molecular Mechanisms ◽  
Epithelial Mesenchymal Transition ◽  
Mapk Signaling ◽  
Migration And Invasion ◽  
Papillary Thyroid ◽  
Differentiation Markers ◽  
Mesenchymal Transition ◽  
Extrathyroidal Invasion

Abstract Kinesin family member C1 (KIFC1) acts as a kind of minus end-directed motorized protein and is considered as an oncogene of some cancer types. However, no studies have fully elucidated its biological activity and molecular mechanisms in papillary thyroid cancer (PTC). The study focused on reporting the overexpression of KIFC1 in cell lines and tissues of PTC. Moreover, clinicopathological features analysis showed that KIFC overexpression is significantly correlated with extrathyroidal invasion and lymph node metastasis. Knockdown of KIFC1 significantly reduced cell growth, migration and invasion in PTC cells, and concomitant increased levels of differentiation markers, such as Tg and Nis. Knockdown of KIFC1 markedly increased the expression level of epithelial cell marker (E-cadherin), and decreased the expression levels of epithelial-mesenchymal transition (EMT) related transcriptional factor N-cadherin, Snail and ZEB1. Further study revealed that knockdown of KIFC1 downregulated stemness markers ALDH2 and SOX2, and inhibited the MAPK signaling cascades and downstream signaling, including p-ERK, ERK, p-JNK, JNK, MMP2, and MMP9, which can affect the expression of the EMT associated factors. Taken together, we reported that KIFC1 might promoted the proliferation, migration and invasion of PTC cells and offer a candidate molecular target for therapeutic intervention.

scholarly journals Long intergenic non-coding RNA 271 is predictive of a poorer prognosis of papillary thyroid cancer

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Ben Ma ◽  
Tian Liao ◽  
Duo Wen ◽  
Chuanpeng Dong ◽  
Li Zhou ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Signaling Pathway ◽  
Papillary Thyroid Cancer ◽  
Enrichment Analysis ◽  
Disease Status ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Advanced Tumor Stage ◽  
Papillary Thyroid ◽  
Advanced Tumor

Abstract A number of long non-coding RNAs (lncRNAs) have been found to play critical roles in oncogenesis and tumor progression. We aimed to investigate whether lncRNAs could act as prognostic biomarkers for papillary thyroid cancer (PTC) that may assist us in evaluating disease status and prognosis for patients. We found 220 lncRNAs with expression alteration from the annotated 2773 lncRNAs approved by the HUGO gene nomenclature committee in The Cancer Genome Atlas (TCGA) dataset, of which FAM41C, CTBP1-AS2, LINC00271, HAR1A, LINC00310 and HAS2-AS1 were associated with recurrence. After adjusting classical clinicopathogical factors and BRAF V600E mutation, LINC00271 was found to be an independent risk factor for extrathyroidal extension, lymph node metastasis, advanced tumor stage III/IV and recurrence in multivariate analyses. Additionally, LINC00271 expression was significantly downregulated in PTCs versus adjacent normal tissues (P < 0.001). The Gene Set Enrichment Analysis (GSEA) revealed that genes associated with cell adhesion molecules, cell cycle, P53 signaling pathway and JAK/STAT signaling pathway were remarkably enriched in lower-LINC00271 versus higher-LINC00271 tumors. In conclusion, LINC00271 was identified as a possible suppressor gene in PTC in our study, and it may serve as a potential predictor of poor prognoses in PTC.

scholarly journals Identification of Hub lncRNAs Along With lncRNA-miRNA-mRNA Network for Effective Diagnosis and Prognosis of Papillary Thyroid Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Haiyan Li ◽  
Feng Liu ◽  
Xiaoyang Wang ◽  
Menglong Li ◽  
Zhihui Li ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Papillary Thyroid Cancer ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Prognostic Indicators ◽  
Validation Dataset ◽  
Papillary Thyroid ◽  
Cerna Network ◽  
Diagnosis And Prognosis ◽  
Potential Biomarkers

Long noncoding RNAs (lncRNAs) play important roles in tumorigenesis and progression of different cancers and they have been potential biomarkers for cancer diagnosis and prognosis. As the most common endocrine malignancy, precise diagnosis and prognosis of papillary thyroid cancer (PTC) is of great clinical significance. Here, we aim to identify new hub lncRNAs for marking PTC and constructed prognostics signatures based on lncRNA- miRNA-mRNA competing endogenous RNAs (ceRNA) network to predict overall survival (OS) and disease-free survival (DFS) respectively. Five reliable hub lncRNAs were identified by integrating differential genes of four Gene Expression Omnibus (GEO) gene chips using the RobustRankAggreg (RRA) method. Based on differential analyses and interaction prediction, a lncRNA-mRNA co-expression network and a lncRNA-miRNA-mRNA ceRNA network were established. Then a comprehensive function characterization of the five hub lncRNAs was performed, including validation dataset testing, receiver operating characteristic (ROC) curve analysis, and functional analysis on two networks. All results suggest that these five hub lncRNAs could be potential biomarkers for marking PTC. The ceRNA network was used to identify RNAs which were associated with PTC prognosis. Two prognostic signatures were developed using univariate and step-wise multivariate Cox regression analyses and both of them were independent prognostic indicators for PTC OS and DFS. Tumor microenvironment difference analysis between high and low-risk patients showed that dendritic cells activated and macrophages M0 may be a possible target for immunotherapy of PTC. In addition, disclosing the potential drugs that may reverse the expression of hub genes may improve the prognosis of patients with PTC. Here, connectivity map (CMap) analysis indicates that three bioactive chemicals (pioglitazone, benserazide, and SB-203580) are promising therapeutic agents for PTC. So, the paper presents a comprehensive study on diagnosis, prognosis, and potential drug screening for PTC based on the five hub lncRNAs identified by us.

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