Thyroid Cancer Research Research Articles

Exploring the Dual Role of MALAT1 in Thyroid Tumorigenesis: Oncogenic or Tumor Suppressor?

Thyroid cancer is the most prevalent form of endocrine cancer. Therefore, the administration of new therapeutic agents for thyroid cancer patients is necessary. One of the recent successes in thyroid cancer research is the identification of the role of signaling pathways in the pathogenesis of the disease. Emerging evidence reveals that long non-coding RNAs (lncRNAs) can serve as novel therapeutic approaches for the diagnosis and treatment of thyroid cancer. The lncRNA metastasis-associated lung adenocarcinoma transcript-1 (MALAT1) plays key roles in gene expression, RNA processing, and epigenetic regulation. It is believed that MALAT1 can regulate several cancer-related processes, including tumour cell growth, proliferation, and metastasis. MALAT1 is involved in the pathogenesis of thzroid cancers by targeting multiple downstream targets and miRNA/mRNA axes. Here, we summarize the emerging roles of MALAT1 in this cancer.

Investigating the mechanism of METTL16-dependent m6A modification regulating the SAMD11 protein signaling pathway to inhibit thyroid cancer phenotypes

Despite substantial progress in the research and treatment of thyroid cancer, many areas in the molecular mechanisms remain to be explored. This study aims to comprehensively and deeply investigate the key role and potential molecular mechanisms of RNA methyltransferase METTL16 in the development and progression of thyroid cancer. Firstly, through bioinformatics analysis of tumor databases, we examined the correlation between METTL16 expression levels and patient prognosis. Subsequently, immunofluorescence experiments on clinical patient tissue microarrays were conducted to validate these findings. We also compared the nucleic acid and protein expression levels of METTL16 in different cell lines. By integrating bioinformatics analysis of public databases, laboratory molecular biology experiments, and comprehensive data analysis, we revealed the high expression of METTL16 in clinical tissues and thyroid cancer cells, and confirmed its role in regulating the biological characteristics of cell proliferation, migration, and invasion in thyroid cancer through in vitro and in vivo experiments. Additionally, we identified SAMD11 as a target gene of METTL16 and further validated its importance and potential regulatory pathways in thyroid cancer.

Bibliometric Insight Into Thyroid Cancer Research: A Comprehensive Review and Future Directions.

In the past 3 decades, thyroid cancer research has surged, becoming the leading topic in clinical thyroidology. Despite this, there's a lack of data identifying key articles, authors, and journals. This study aims to provide insights for authors, physicians, and research labs by highlighting the most influential journals, authors, and research topics in thyroid cancer. A comprehensive search was conducted using the Scopus database, employing the medical subject heading (MeSH) terms "Thyroid" and "Cancer" in the titles, abstracts, or keywords of articles. The search was limited to English articles in academic medicine journals published between January 1993 and December 2021. The search yielded 21472 articles across 3076 journals, authored by 13974 senior authors. The number of journals publishing on thyroid cancer expanded from 29 in 1993 to 733 in 2021, marking an average annual growth of 14%. Article output on the topic increased from 54 in the initial year to 1580 by 2021, with an annual growth rate of 16%. A thematic analysis revealed 369 articles mentioning "BRAF" since 2004, 479 articles on "ultrasound" techniques, 325 on "ablation" methods, and 453 articles focusing on "genetics" in thyroid cancer. The Journal of Clinical Endocrinology and Metabolism emerged as the most prolific, publishing 1017 articles over the 29-year period. This study guides resource allocation towards impactful journals for thyroid cancer researchers, helps identify key contributors for collaboration or mentorship, and provides a framework for similar analyses in other fields.

Epigenetics in thyroid cancer: a bibliometric analysis.

Epigenetics, which involves regulatory modifications that do not alter the DNA sequence itself, is crucial in the development and progression of thyroid cancer. This study aims to provide a comprehensive analysis of the epigenetic research landscape in thyroid cancer, highlighting current trends, major research areas, and potential future directions. A bibliometric analysis was performed using data from the Web of Science Core Collection (WOSCC) up to 1 November 2023. Analytical tools such as VOSviewer, CiteSpace, and the R package 'bibliometrix' were employed for comprehensive data analysis and visualization. This process identified principal research themes, along with influential authors, institutions, and countries contributing to the field. The analysis reveals a marked increase in thyroid cancer epigenetics research over the past two decades. Emergent key themes include the exploration of molecular mechanisms and biomarkers, various subtypes of thyroid cancer, implications for therapeutic interventions, advancements in technologies and methodologies, and the scope of translational research. Research hotspots within these themes highlight intensive areas of study and the potential for significant breakthroughs. This study presents an in-depth overview of the current state of epigenetics in thyroid cancer research. It underscores the potential of epigenetic strategies as viable therapeutic options and provides valuable insights for researchers and clinicians in advancing the understanding and treatment of this complex disease. Future research is vital to fully leverage the therapeutic possibilities offered by epigenetics in the management of thyroid cancer.

Secular Increasing Trends in Female Thyroid Cancer Incidence in Taiwan.

Thyroid cancer incidence has increased globally in recent decades, especially in females, although its trends in Taiwan have not been studied extensively. This study aimed to investigate changes in female incidence and possible causes of thyroid cancer in Taiwan. Using the Taiwan Cancer Registry (TCR) Database, age-standardized incidence rates, age-specific incidence rates and birth cohorts were calculated. Correlation between female thyroid cancer incidence and cohort fertility rates were examined. Thyroid cancer incidence increased in Taiwanese female, with age-adjusted rates per 100,000 people increasing from 7.37 during 1995-1999 to 20.53 during 2015-2019; the annual percentage change (APC) was 5.9% (95% CI, 5.3-6.5). Age-specific incidence rates increased with age, with peak rates occurring at younger ages. The APCs in the 50-54 age group were the highest (6.8%, 95% CI, 6.1-7.5). Incidence rates also increased with later birth cohorts. We observed a significant negative correlation between thyroid cancer incidence and fertility rates in the same birth cohort. We hypothesize that overdiagnosis may be a main reason for the rapidly increasing thyroid cancer incidence in Taiwanese females. Notably, we observed a strong negative correlation between fertility and thyroid cancer incidence. However, our study is limited by the absence of individual-level cancer data in the TCR database. These associations with fertility will be an important subject for future thyroid cancer research.

Radiopharmaceuticals: A New Vista for Diagnosis and Treatment of Thyroid Cancer.

Radiopharmaceuticals are in the diagnosis and treatment of cancerous and noncancerous diseases, and a hope for optimistic effort in the field of nuclear medicine. They play a crucial role in clinical nuclear medicine by providing a tool to comprehend human disease and create efficient treatments. A detailed analysis is provided regarding the crux of molecular imaging including PET and SPECT overview for the detection of cancers. For a specified understanding of radiation therapy, topics include ranging from the selection of radionuclide to its development and manufacture, and dosage requirements to establishing the importance of I- 131 Radiotherapy in thyroid cancer. In this review, we also discussed the current state of the art of nuclear medicine in thyroid cancer, including the role of radioiodine (RAI) therapeutic scans in the diagnosis of differentiated thyroid cancer. In addition, we established a brief outlook into the current status of the research in thyroid cancer and discussed the future directions in this field.

Deep Learning Empowered Decision Support Systems for Thyroid Cancer Detection and Management

Exploiting the capability of deep learning-based techniques, this research addresses an important and relevant problem on how to cost effectively detect thyroid cancer. In recent decades, there has been a significant increase in the incidence of thyroid cancer, prompting the need to understand its epidemiology. Existing studies have primarily employed qualitative techniques to investigate a single risk factor correlated with the disease development at a time. However, such an approach is inefficient and tends to ignore the interwoven connections among factors, resulting in a considerable disagreement with the identified risk factors among scholars. Additionally, the use of deep learning techniques in conjunction with medical imaging for computer-aided diagnostic (CAD) systems design has shown promises in detecting the disease, while there are research gaps regarding the detection of subtype and their co-existence. More importantly, existing CAD systems have shortcomings in adapting to different sample groups. To address these challenges, this research aims to shed light on the pathogenesis of thyroid cancer, enhance diagnostic performance, and improve generalisation of deep learning-based decision support systems. By harnessing the power of machine learning, specifically data mining and deep learning techniques, we seek to improve our understanding of the underlying mechanisms of the disease and develop innovative, robust, accurate, and efficient diagnostic tools. Extensive experiments indicate superior performance of the proposed methods than existing works. The systems proposed in this study have great impact to the wider society and contribute to the advancement of thyroid cancer research while enhancing clinical practice in related detection and subsequent management.

Advances in targeted therapy and biomarker research in thyroid cancer.

Driven by the intricacy of the illness and the need for individualized treatments, targeted therapy and biomarker research in thyroid cancer represent an important frontier in oncology. The variety of genetic changes associated with thyroid cancer demand more investigation to elucidate molecular details. This research is clinically significant since it can be used to develop customized treatment plans. A more focused approach is provided by targeted therapies, which target certain molecular targets such as mutant BRAF or RET proteins. This strategy minimizes collateral harm to healthy tissues and may also reduce adverse effects. Simultaneously, patient categorization based on molecular profiles is made possible by biomarker exploration, which allows for customized therapy regimens and maximizes therapeutic results. The benefits of targeted therapy and biomarker research go beyond their immediate clinical impact to encompass the whole cancer landscape. Comprehending the genetic underpinnings of thyroid cancer facilitates the creation of novel treatments that specifically target aberrant molecules. This advances the treatment of thyroid cancer and advances precision medicine, paving the way for the treatment of other cancers. Taken simply, more study on thyroid cancer is promising for better patient care. The concepts discovered during this investigation have the potential to completely transform the way that care is provided, bringing in a new era of personalized, precision medicine. This paradigm shift could improve the prognosis and quality of life for individuals with thyroid cancer and act as an inspiration for advances in other cancer types.

Historical context, process, and development trends of pediatric thyroid cancer research: a bibliometric analysis.

At present, the structure of knowledge in the field of childhood thyroid cancer is not clear enough, and scholars lack a sufficient understanding of the developing trends in this field, which has led to a shortage of forward-looking outputs. The purpose of this research is to help scholars construct a complete knowledge framework and identify current challenges, opportunities, and development trends. We searched the literature in the Web of Science Core Collection database on August 7, 2023 and extracted key information from the top 100 most cited articles, such as the countries, institutions, authors, themes, and keywords. We used bibliometric tools such as bibliometrix, VOSviewer, and CiteSpace for a visualization analysis and Excel for statistical descriptions. The top 100 most cited articles fluctuated over time, and the research was concentrated in European countries, the United States, and Japan, among which scientific research institutions and scholars from the United States made outstanding contributions. Keyword analysis revealed that research has shifted from simple treatment methods for pediatric thyroid cancer (total thyroidectomy) and inducing factors (the Chernobyl power station accident) to the clinical applications of genetic mutations (such as the BRAF and RET genes) and larger-scale genetic changes (mutation studies of the DICER1 gene). The thematic strategy analysis showed an increasing trend towards the popularity of fusion oncogenes, while the popularity of research on traditional treatments and diagnostics has gradually declined. Extensive research has been conducted on the basic problems of pediatric thyroid cancer, and there has been significant outputs in the follow-up and cohort analysis of conventional diagnostic and treatment methods. However, these methods still have certain limitations. Therefore, scholars should focus on exploring fusion genes, the clinical applications of molecular targets, and novel treatment methods. This study provides a strong reference for scholars in this field.

RNA Profile of Cell Bodies and Exosomes Released by Tumorigenic and Non-Tumorigenic Thyroid Cells.

Tumor cells release exosomes, extracellular vesicle containing various bioactive molecules such as protein, DNA and RNA. The analysis of RNA molecules packaged in exosomes may provide new potential diagnostic or prognostic tumor biomarkers. The treatment of radioiodine-refractory aggressive thyroid cancer is still an unresolved clinical challenge, and the search for biomarkers that are detectable in early phase of the disease has become a fundamental goal for thyroid cancer research. By using transcriptome analysis, this study aimed to analyze the gene expression profiles of exosomes secreted by a non-tumorigenic thyroid cell line (Nthy-ori 3.1-exo) and a papillary thyroid cancer (TPC-1-exo) cell line, comparing them with those of cell bodies (Nthy-ori 3.1-cells and TPC-1-cells). A total of 9107 transcripts were identified as differentially expressed when comparing TPC-1-exo with TPC-1-cells and 5861 when comparing Nthy-ori 3.1-exo with Nthy-ori 3.1-cells. Among them, Sialic acid-binding immunoglobulin-like lectins 10 and 11 (SIGLEC10, SIGLEC11) and Keratin-associated protein 5 (KRTAP5-3) transcripts, genes known to be involved in cancer progression, turned out to be up-regulated only in TPC-1-exo. Gene ontology analysis revealed significantly enriched pathways, and only in TPC-1-exo were the differential expressed genes associated with an up-regulation in epigenetic processes. These findings provide a proof of concept that some mRNA species are specifically packaged in tumor-cell-derived exosomes and may constitute a starting point for the identification of new biomarkers for thyroid tumors.

The Global Trends of Thyroid Cancer Research: A Scientometric Study

Cancer of the thyroid has become the fastest‐growing cancer among women in the past several decades. This study is aimed at using scientometric methods to identify research frontiers and development trends in the field of thyroid cancer (TC) research. We used the Scopus database to collect articles and reviews related to TC in November 2022. R software and Bibliometrix software package were used for scientometric analysis. More than 28,000 articles were obtained from Scopus using the defined specific keywords. The United States, France, and England published the most publications. Journal of Clinical Endocrinology and Metabolism and Cancer were found as the core journals in this field. Morris LGT, Sikora AG, and Davies L authored the most publications. National Cancer Institute, National Cancer Institute at NIH, and the University of Washington contributed the most publications. The most cited evidence was related to the articles of Bray (2018), Sung (2021), and Parkin (2005). Using scientometric analysis, this study mapped and visualized the knowledge landscape in the field of TC. The analysis showed that scientists in the field of TC are working collaboratively to tackle one of the most prevalent cancers in the world. This analysis showed that scientists in the field of TC are working with a scientific framework as a team to tackle one of the most common cancers in the world.

SAT527 The Management Of Thyroid Cancer: Where We Started And Where We Are Heading? A Five-decades Text Mining Analysis

Abstract Disclosure: I. Tessler: None. N.A. Gecel: None. G. Avior: None. E. Klang: None. E. Alon: None. T. Kolitz: None. Aim: Thyroid cancer prevalence rate continues to increase, being the most common endocrine cancer. During the years, significant progress in methods for diagnosis, risk-stratification and management were developed, with the recent advance of molecular testing. Here we explore the evolution of thyroid cancer management over the past five decades through a text-mining analysis. Materials and methods: We have queried PubMed for all available 'thyroid cancer' related entries published during 1970-2022. The following data were extracted for each entry: year of publication, publishing journal, title, keywords, and abstract text. Search terms belonged to demographics, histology, diagnosis methods, treatment, and follow-up. Annual trends of publications were plotted. The slopes of publication trends were calculated by fitting regression lines to the yearly number of publications. We also retrieved the number of citations per publication and analyzed the most impactful papers on each topic.Results: Our search yielded 95,931 papers published during the study period. Publications regarding diagnosis (39,490) outnumbered all other topics, in which molecular testing has significantly sharpest raise (slope p=34.1±3.3). Most publication focused on females (n=56,198) and differentiated thyroid cancer (n=45,953). Surgery remains the most studied treatment method during the whole study period, with recent raise in studies regarding active-surveillance (slope 14.2±1.3). Studies concerning shared decision-making and patient experience emerged in 2000, with a sharp increase in recent years (slope 3.8±0.3, p < .001).Conclusions: Our study provides an overview of the trends in thyroid cancer research over the past five decades. Publications regarding molecular testing outnumbered all other diagnosis methods, identified as the primary trend of the current era. Publications on active surveillance have rapidly risen in recent years, highlighting this method's role in thyroid cancer. Keywords: Machine learning; artificial intelligence; Thyroid cancer; Molecular-tests Presentation Date: Saturday, June 17, 2023

Access Denied: Disparities in Thyroid Cancer Clinical Trials

For thyroid cancer clinical trials, the inclusion of participants from diverse patient populations is uniquely important given existing racial/ethnic disparities in thyroid cancer care. Since 2011, a paradigm shift has occurred in the treatment of advanced thyroid cancer with the approval of multiple systemic therapies by the US Food and Drug Administration based on their use in the clinical trials setting. Although these clinical trials recruited patients from up to 164 sites in 25 countries, the inclusion of racial/ethnic minority patients remained low. In this mini-review, we provide an overview of barriers to accessing cancer clinical trials, framed in the context of why patients with thyroid cancer may be uniquely vulnerable. Multilevel interventions and increased funding for thyroid cancer research are necessary to increase access to and recruitment of under-represented patient populations into thyroid cancer clinical trials.

NTRK-fusions in pediatric thyroid tumors: Current state and future perspectives

Pediatric and adult papillary thyroid cancer (PTC) share many similar oncogenic drivers, but differ in the pathological features and outcomes of the disease. The most frequent genetic alterations in adult PTCs are mutually exclusive point mutations in BRAF or the RAS family. In pediatric PTC, fusion oncogenes involving chromosomal translocations in tyrosine kinase (TK) receptors, most commonly RET and NTRK, are the most common genetic alterations observed. This review of the literature describes the current state of translational research in pediatric NTRK-driven thyroid cancer and highlights opportunities to improve our understanding and current models of pediatric PTC.

GLUT1 and ASCT2 Protein Expression in Papillary Thyroid Carcinoma Patients and Relation to Hepatitis C Virus: A Propensity-Score Matched Analysis.

PurposeRecently, glucose and amino acid transporters have gradually become a hot topic in thyroid gland biology and cancer research. We aimed to investigate the expressions of glucose transporter 1 (GLUT1) and glutamine transporter 2 (ASCT2) in papillary thyroid carcinoma (PTC) and their clinical significance and relation to HCV-related hepatitis.Patients and MethodsScreening 202 TC tissue samples against the selection criteria using a propensity-score matched analysis to adjust for age, sex, side of tumor, histopathological variants, TNM staging system, and the positivity for HCV yielded 51 matched (17 HCV positive and 34 HCV negative) PTC samples. The expressions of GLUT1 and ASCT2 expressions were detected by immunohistochemical staining. Kaplan–Meier survival curves were generated for disease-free and overall survival, and multivariate Cox regression analysis was applied to identify predictors for mortality.ResultsOf 51 thyroid cancer tissues, 85% showed positive GLUT1 cytoplasmic staining, and 26% had a high expression score. All thyroid cancer specimens demonstrated ASCT2 cytoplasmic staining with membranous accentuation. Of these, 78% showed a high expression score, and 22% showed weak staining. On stratifying the study cohort based on the HCV status, HCV negative cohort showed a significantly higher immunoreactivity score for GLUT1 (p = 0.004) but not ASCT2 (p = 0.94) than HCV positive group. The expressions of the studied transporters showed no significant associations with the prognostic features of PTC nor the disease-free/overall survival.ConclusionGLUT1 and ASCT2 immunohistochemical staining showed positive expression with variable intensity in nearly 85% and 100% of PTC tissue samples compared to normal ones, respectively. Furthermore, GLUT1 protein expression, not ASCT2, showed a higher immunoreactivity score in PTC patients who are negative for HCV than cancer patients with positive HCV. Meanwhile, the expression of both protein markers was not associated with the clinicopathological characteristics of the studied PTC patients. Further large-scale multicenter studies are recommended to validate the present findings.

The Year in Basic Thyroid Cancer Research.

Background: Every year, the American Thyroid Association (ATA) Annual Meeting opening session features presentations covering the most recent advances in the three major areas of thyroidology: basic, clinical, and surgical. As the ATA did not have an annual meeting in 2020, because of the COVID19 pandemic, the 2021 meeting opened with a special "Two Years in Thyroidology" session. Methods: A PubMed electronic search was conducted to identify original basic science research studies on thyroid cancer published between October 2019 and September 2021. Methodologically rigorous studies that were deemed most likely to influence the field of basic science research in thyroid cancer were grouped into three thematic units: Genetics and Genomics, Molecular Biology and Signaling, and Preclinical and Translational Science. Four publications for each category were chosen for discussion. Results: Selected studies covered topics ranging from the genetics of thyroid cancer predisposition to the genomics of anaplastic thyroid cancer evolution, from novel molecular pathways involved in thyroid cancer pathogenesis to potentially game-changing imaging and therapeutic innovations. Conclusions: The past two years, in the face of unique COVID19 pandemic-associated hurdles, have witnessed a large number of important developments in basic and translational thyroid cancer research. These studies not only have shed novel light on a number of long-standing scientific questions but have also highlighted the major challenges and open questions that still remain to be addressed in the coming years.

The Concept of Economic Evaluation and Its Application in Thyroid Cancer Research.

Economic evaluation is a type of comparative analysis between interventions in terms of both their resource use and health outcomes. Due to the good prognosis of thyroid cancer (TC), the socioeconomic burden of TC patients post-diagnosis is increasing. Therefore, economic evaluation studies focusing on TC are recommended. This study aimed to describe the concept and methods of economic evaluation and reviewed previous TC studies. Several previous studies compared the costs of interventions or evaluated recurrence, complications, or quality of life as measures of their effectiveness. Regarding costs, most studies focused on direct costs and applied hypothetical models. Cost-minimization analysis should be distinguished from simple cost analysis. Furthermore, due to the universality of the term “cost-effectiveness analysis” (CEA), several studies have not distinguished CEA from cost-utility analysis; this point needs to be considered in future research. Cost-benefit analyses have not been conducted in previous TC research. Since TC has a high survival rate and good prognosis, the need for economic evaluations has recently been pointed out. Therefore, correct concepts and methods are needed to obtain clear economic evaluation results. On this basis, it will be possible to provide appropriate guidelines for TC treatment and management in the future.

Development of Novel Follicular Thyroid Cancer Models Which Progress to Poorly Differentiated and Anaplastic Thyroid Cancer

Simple SummaryAdvancements in thyroid cancer are dependent on the availability of experimental models allowing for investigation in the laboratory setting. Here, we detail the development and characterization of three cell-based models of follicular thyroid cancer that closely mimic the genetic and pathological progression of the disease seen in patients, including progression to poorly differentiated and anaplastic thyroid cancer in some cases. We anticipate that these newly developed models will allow for the discovery of novel mechanisms of disease progression and the testing of therapeutic interventions.Recent developments in thyroid cancer research have been hindered by a lack of validated in vitro models, allowing for preclinical experimentation and the screening of prospective therapeutics. The goal of this work is to develop and characterize three novel follicular thyroid cancer (FTC) cell lines developed from relevant animal models. These cell lines recapitulate the genetics and histopathological features of FTC, as well as progression to a poorly differentiated state. We demonstrate that these cell lines can be used for a variety of in vitro applications and maintain the potential for in vivo transplantation into immunocompetent hosts. Further, cell lines exhibit differing degrees of dysregulated growth and invasive behavior that may help define mechanisms of pathogenesis underlying the heterogeneity present in the patient population. We believe these novel cell lines will provide powerful tools for investigating the molecular basis of thyroid cancer progression and lead to the development of more personalized diagnostic and treatment strategies.

Thyroid Cancer research at endocrinology and metabolism research institute (EMRI): a report of scientific activities between 2005 and 2020

Endocrinology and Metabolism Research Institute (EMRI), Tehran University of Medical Sciences, has achieved many advances in the understanding of epidemiology, pathology, and molecular biology of thyroid cancer (TC). This paper will focus on published literature in the field of TC research at EMRI since its inception. A comprehensive literature search of “Scopus”, “Web of Science (ISI)”, “PubMed”, and “SID” databases was done to identify TC-based studies in EMRI since 2005, using the predefined keywords. All the records were reviewed. Eventually, 46 articles that met the inclusion and exclusion criteria were considered. Timeline, characteristics, and summarized findings of the included most studies have been briefly described. The main focus of the TC research at EMRI is to investigate genetic and epigenetic changes as well as the cellular and molecular aspects seen more frequently in TC patients, and find out how exactly these alterations lead to more aggressive TC behavior and resistance to the conventional treatment approaches in those patients.

A new risk factor indicator for papillary thyroid cancer based on immune infiltration

Increasing evidence has indicated a close association between immune infiltration in cancer and clinical outcomes. However, related research in thyroid cancer is still deficient. Our research comprehensively investigated the immune infiltration of thyroid cancer. Data derived from TCGA and GEO databases were analyzed by the CIBERSORT, ESTIMATE, and EPIC algorithms. The CIBERSORT algorithm calculates the proportions of 22 types of immune cells. ESTIMATE algorithm calculates a stromal score to represent all stromal cells in cancer. The EPIC algorithm calculates the proportions of cancer-associated fibroblasts (CAFs) and endothelial cells (ECs), which are the main components of stromal cells. We analyzed the correlation of immune infiltration with clinical characteristics and outcomes of patients. We determined that the infiltration of CD8+ T cells improved the survival of thyroid cancer patients. Overexpression of immune checkpoints was closely related to the development of thyroid cancer. In general, stromal cells were associated with the progression of thyroid cancer. Interestingly, CAFs and ECs had opposite roles in this process. In addition, the BRAFV600E mutation was related to the upregulation of immune checkpoints and CAFs and the downregulation of CD8+ T cells and ECs. Finally, we constructed an immune risk score model to predict the prognosis and development of thyroid cancer. Our research demonstrated a comprehensive panorama of immune infiltration in thyroid cancer, which may provide potential value for immunotherapy.