Management of recurrent or metastatic thyroid cancer

A prediction model based on random survival forest analysis of the overall survival of elderly female papillary thyroid carcinoma patients: a SEER-based study

OBJECTIVE

Papillary thyroid carcinoma (PTC) is a common malignancy whose incidence is three times greater in females than in males. The prognosis of ageing patients is poor. This research was designed to construct models to predict the overall survival of elderly female patients with PTC.

METHODS

We developed prediction models based on the random survival forest (RSF) algorithm and traditional Cox regression. The data of 4539 patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Twelve variables were analysed to establish the models. The C-index and the Brier score were selected to evaluate the discriminatory ability of the models. Time-dependent receiver operating characteristic (ROC) curves were also drawn to evaluate the accuracy of the models. The clinical benefits of the two models were compared on the basis of the DCA curve. In addition, the Shapley Additive Explanations (SHAP) plot was used to visualize the contribution of the variables in the RSF model.

RESULTS

The C-index of the RSF model was 0.811, which was greater than that of the Cox model (0.781). According to the Brier score and the area under the ROC curve (AUC), the RSF model performed better than the Cox model. On the basis of the DCA curve, the RSF model demonstrated fair clinical benefit. The SHAP plot showed that age was the most important variable contributing to the outcome of PTC in elderly female patients.

CONCLUSIONS

The RSF model we developed performed better than the Cox model and might be valuable for clinical practice.

Utility and optimal management of planned drug holidays during lenvatinib treatment in patients with unresectable differentiated thyroid cancer: a real-world multi-center study

PURPOSE

Lenvatinib achieves favorable therapeutic outcomes for patients with radioactive iodine therapy refractory differentiated thyroid cancer (DTC); however, its use is associated with a high incidence of adverse events. To avoid severe adverse events, planned drug holidays (PDH) have been proposed. This study aimed to evaluate treatment effects, identify prognostic factors, and investigate the usefulness of PDH in patients with unresectable DTC who received lenvatinib across the multi-institutions.

METHODS

Fifty-one patients with unresectable DTC treated with lenvatinib were evaluated retrospectively. Overall survival (OS) and progression-free survival (PFS) were calculated, and prognostic factors were assessed. OS, PFS, and time to treatment failure (TTF) were compared between patients with and without PDH. Lenvatinib administration schedule was evaluated in PDH.

RESULTS

The 3-year OS and PFS rate were 53.5% and 42.1%, respectively. Multivariate analysis revealed that presence of maximum size of lung metastasis ≥10 mm was independent prognostic factor for poorer OS and PFS, and histology other than papillary thyroid carcinoma was the independent prognostic factor for poorer PFS. Twenty-five patients (49%) treated with PDH. There were significant differences in OS, PFS, and TTF between patients with and without PDH. Various schedules were used in PDH. Eight (32%) patients required switch to the different administration schedule.

CONCLUSION

Our results suggest that PDHs may extend OS, PFS, and TTF. In patients with PDH, various schedules used for lenvatinib administration highlight the difficulty in determining a uniform administration schedule. Therefore, it is crucial to consider the optimal lenvatinib administration schedule on a case-by-case basis.

Planned drug holidays during treatment with lenvatinib for radioiodine-refractory differentiated thyroid cancer: a retrospective study

Background

In the phase 3 SELECT study, lenvatinib significantly improved prognostic outcomes vs. placebo in patients with radioiodine-refractory differentiated thyroid cancer (RR-DTC). However, toxicity of lenvatinib is sometimes considerable and requires frequent dose interruptions and modifications. Recently, planned drug holidays have been proposed as a means of avoiding severe adverse events (AEs).

Methods

We retrospectively reviewed medical records to compare the efficacy and safety of lenvatinib in RR-DTC patients who underwent planned drug holidays (planned holiday group) vs. those who received conventional daily oral administration (daily group).

Results

The subjects were 25 patients in the planned holiday group and 21 in the daily group. Median age was 73 years (range 43-84) and 62 years (range 42-75), and histologic subtype of papillary/follicular was 21/4 cases and 15/6 cases, respectively. Time to treatment failure (TTF) and overall survival (OS) were significantly longer in the planned holiday group than the daily group (not reached [NR] vs. 14.9 months, hazard ratio [HR] 0.25, 95% confidence interval [Cl] 0.11-0.58, p<0.001; NR vs. 26.6 months, HR 0.20, 95% CI 0.073-0.58, p=0.001, respectively). Median progression-free survival (PFS) was NR in the planned holiday group vs. 15.1 months in the daily group (HR 0.31, 95% CI 0.14-0.68, p=0.002). Duration of the period with lenvatinib dose ≥10 mg was significantly longer in the planned holiday group (NR vs. 6.5 months, HR 0.22, 95% CI 0.10-0.49, p<0.001), and the frequency of drug interruption due to intolerable AEs was lower (68.0% vs. 95.2%, p=0.027).

Conclusion

Planned drug holidays for lenvatinib demonstrated significantly longer PFS, TTF, and OS than daily oral administration, and less intolerable toxicity leading to further unplanned treatment interruption. These benefits were apparently associated with a more extended period of lenvatinib administration at ≥10 mg. These findings might contribute to a favorable patient prognosis and safer toxicity profile.

A clinically useful and biologically informative genomic classifier for papillary thyroid cancer

Clinical management of papillary thyroid cancer depends on estimations of prognosis. Standard care, which relies on prognostication based on clinicopathologic features, is inaccurate. We applied a machine learning algorithm (HighLifeR) to 502 cases annotated by The Cancer Genome Atlas Project to derive an accurate molecular prognostic classifier. Unsupervised analysis of the 82 genes that were most closely associated with recurrence after surgery enabled the identification of three unique molecular subtypes. One subtype had a high recurrence rate, an immunosuppressed microenvironment, and enrichment of the EZH2-HOTAIR pathway. Two other unique molecular subtypes with a lower rate of recurrence were identified, including one subtype with a paucity of BRAFV600E mutations and a high rate of RAS mutations. The genomic risk classifier, in addition to tumor size and lymph node status, enabled effective prognostication that outperformed the American Thyroid Association clinical risk stratification. The genomic classifier we derived can potentially be applied preoperatively to direct clinical decision-making. Distinct biological features of molecular subtypes also have implications regarding sensitivity to radioactive iodine, EZH2 inhibitors, and immune checkpoint inhibitors.

Guidelines on the Use of Systemic Therapy in Patients with Advanced Thyroid Cancer

With increasing understanding of the molecular alterations leading to thyroid cancers in recent years we have seen a rapid increase in the number of effective targeted systemic therapies available for patients with advanced thyroid cancer; firstly with the advent of the multi-kinase inhibitors and more recently with more specific RET, BRAF, MEK, ALK and NTRK inhibitors. Although these developments are very welcome, they have resulted in a paradigm shift in the management of advanced thyroid cancer to which thyroid oncologists have had to rapidly adapt, learning how to supervise treatment safely with novel agents, the management of novel toxicities, when and how to arrange molecular genetic testing of cancers and, perhaps most importantly, determining when the optimum time is to start these treatments in what can often be a relatively indolent, if progressive, disease. We hope that these guidelines will support clinicians in making these decisions with their patients, as well as signposting and providing useful supporting information both for patients and clinicians.

Tackling Thyroid Cancer in Europe—The Challenges and Opportunities

Thyroid cancer (TC) is the most common malignancy of the endocrine system that affects the thyroid gland. It is usually treatable and, in most cases, curable. The central issues are how to improve knowledge on TC, to accurately identify cases at an early stage that can benefit from effective intervention, optimise therapy, and reduce the risk of overdiagnosis and unnecessary treatment. Questions remain about management, about treating all patients in referral centres, and about which treatment should be proposed to any individual patient and how this can be optimised. The European Alliance for Personalised Medicine (EAPM) hosted an expert panel discussion to elucidate some of the challenges, and to identify possible steps towards effective responses at the EU and member state level, particularly in the context of the opportunities in the European Union’s evolving initiatives—notably its Beating Cancer Plan, its Cancer Mission, and its research funding programmes. Recommendations emerging from the panel focus on improved infrastructure and funding, and on promoting multi-stakeholder collaboration between national and European initiatives to complement, support, and mutually reinforce efforts to improve patient care.

A proposed clinical scoring system for initiation of lenvatinib treatment in radioiodine-refractory thyroid cancer patients

PURPOSE

The optimal timing for starting lenvatinib treatment in patients with radioiodine-refractory differentiated thyroid cancer (RR-DTC) has long been controversial because of the relatively slow-growing nature of differentiated thyroid cancer. The aim of this study was to establish a scoring system using known clinical factors to simplify decision-making in when to start lenvatinib in RR-DTC patients.

METHODS

We retrospectively analyzed RR-DTC patients treated with lenvatinib. We developed the clinical indication scoring algorithm on the basis of age, tumor-related symptoms, histology, metastatic sites, neutrophil-to-lymphocyte ratio, size of lung metastases, baseline sum of tumor diameters, and tumor-volume doubling time that was used to categorize patients into low-, intermediate-, and high-risk groups.

RESULTS

A total of 59 patients were analyzed; 13 low-risk, 36 intermediate-risk, and 10 high-risk. The respective median progression-free survival from the initiation of lenvatinib was 93.7 months in the low-risk group, 20.3 months in the intermediate-risk group, and 6.2 months in the high-risk group (p < 0.02). Patients in the high-risk group had significantly worse overall survival compared with those in the low-risk (hazard ratio [HR] 6.59, 95% confidence interval [CI] 1.25-34.90, p < 0.03) or intermediate-risk (HR 2.99, 95% CI 1.03-8.63, p < 0.05) group. Using our proposed algorithm, patients in the intermediate-risk group showed treatment outcomes similar to that were observed in the pivotal trial of lenvatinib, and were the optimal patients to start lenvatinib.

CONCLUSION

Our proposed scoring system can separate treatment outcomes and prognosis of RR-DTC patients treated with lenvatinib. This simple algorithm can be helpful for oncologists in deciding whether to start lenvatinib treatment in patients with RR-DTC.

Lenvatinib Therapy for Advanced Thyroid Cancer: Real-life Data on Safety, Efficacy and Some Rare Side Effects

Context

The SELECT trial led to the approval of lenvatinib for the treatment of advanced radioiodine-refractory differentiated thyroid carcinomas (DTCs) but also revealed an important adverse event (AE) profile which may limit its use in clinical practice.

Objective

We aim to describe the efficacy and toxicity profiles of lenvatinib in real life.

Methods

We included all patients who received lenvatinib for an advanced DTC at our institution, enrolling 27 patients. We reviewed retrospectively electronic medical records to assess efficacy and AEs.

Results

Among the 24 patients with evaluation of tumor response during treatment, overall response rate (ORR) was 37.0% (95% CI, 19.4%-57.6%), and disease control rate was 85.2% (95% CI, 66.3%-95.8%). The median progression-free survival (PFS) was 12 months (95% CI, 7.5-16.5]. The most prevalent AEs were hypertension (77.8%), fatigue (55.6%), and weight loss (51.9%). At least one grade ≥ 3 AE was experienced by 25/27 patients (92.6%), mostly hypertension (59.3%). Lenvatinib was discontinued due to AEs in 13/27 patients (48.1%). Interestingly, 1 patient experienced a grade 4 posterior reversible encephalopathy syndrome, and another developed a Takotsubo cardiomyopathy.

Conclusion

The safety profile of lenvatinib in our cohort was similar to that reported in the literature, with a predominance of hypertension. Rigorous blood pressure control is therefore essential to avoid discontinuing therapy. We also report 2 severe and rarely described AEs that physicians should watch for. As for efficacy, although less than in the SELECT trial, ORR and PFS were similar to other real-life studies.

Prognostic significance of 8 weeks' relative dose intensity of lenvatinib in treatment of radioiodine-refractory differentiated thyroid cancer patients

Lenvatinib is a standard therapy for radioiodine-refractory differentiated thyroid cancer (RR-DTC). However, because of the high incidence of adverse events resulting from this treatment, it is not easy to maintain the dose intensity of lenvatinib, especially in Japanese patients. Although the prognostic impact of lenvatinib dose interruption has been reported, the target dose intensity of lenvatinib to optimize survival benefits remains unknown. We therefore propose a target dose intensity of lenvatinib during the first 8 weeks of treatment. We retrospectively analyzed 42 RR-DTC patients who were treated with lenvatinib for more than 8 weeks. We performed receiver operating characteristic curve analysis to determine the cut-off value of 8 weeks' relative dose intensity (8w-RDI) to predict treatment response, and identified that the optimal cut-off value of 8w-RDI was 60% (sensitivity: 81.8%; specificity: 80.6%). Median progression-free survival (PFS) (not reached [NR] vs. 11.0 months; hazard ratio [HR] 0.29; 95% confidence interval [CI] 0.11-0.72; p < 0.01) and overall survival (NR vs. 27.6 months; HR 0.44; 95% CI 0.11-0.91; p = 0.03) were longer in the higher 8w-RDI (≥60%) patients than in the lower 8w-RDI (<60%) patients. Multivariate analysis revealed that 8w-RDI at ≥60% was an independent prognostic factor for PFS (HR 0.29; 95% CI 0.09-0.96; p = 0.04). Targeting for ≥60% of the relative dose intensity during the first 8 weeks of lenvatinib treatment can be sufficient to achieve significant tumor shrinkage and prolong PFS in RR-DTC patients.

Clinical Indications for Treatment with Multi-Kinase Inhibitors in Patients with Radioiodine-Refractory Differentiated Thyroid Cancer

Differentiated thyroid cancer is usually a slow-growing disease, even if the patients develop distant metastasis. For recurrent or metastatic disease, radioactive iodine therapy is a standard treatment. However, the disease gradually progresses in some of the patients and can ultimately develop into life-threatening conditions. For patients with progressive radioactive iodine-refractory differentiated thyroid cancer (RR-DTC), multi-kinase inhibitors (MKIs) including sorafenib and lenvatinib prolonged progression-free survival compared with placebo in pivotal randomized phase 3 trials, although the benefit in overall survival has not been clearly confirmed, possibly because the patients who received placebo were permitted to cross-over to lenvatinib upon disease progression. Moreover, the adverse events related to MKIs were not negligible. Therefore, the optimal timing of MKI initiation has long been controversial, and physicians should consider various patient and disease factors. Herein, we comprehensively review the clinical factors that can be helpful in determining the initiation of MKIs for patients with RR-DTC.

An 8 miRNA-Based Risk Score System for Predicting the Prognosis of Patients With Papillary Thyroid Cancer

Background:

Dysregulation of microRNAs (miRNAs) in papillary thyroid cancer (PTC) might influence prognosis of PTC. This study is aimed to develop a risk score system for predicting prognosis of PTC.

Methods:

The miRNA and gene expression profiles of PTC were obtained from The Cancer Genome Atlas database. PTC samples were randomly separated into training set (n = 248) and validation set (n = 248). The differentially expressed miRNAs (DE-miRNAs) in the training set were screened using limma package. The independent prognosis-associated DE-miRNAs were identified for building a risk score system. Risk score of PTC samples in the training set was calculated and samples were divided into high risk group and low risk group. Kaplan-Meier curves and receiver operating characteristic (ROC) curve were used to assess the accuracy of the risk score system in the training set, validation set and entire set. Finally, a miRNA-gene regulatory network was visualized by Cytoscape software, followed by enrichment analysis.

Results:

Totally, 162 DE-miRNAs between tumor and control groups in the training set were identified. An 8 independent prognosis-associated DE-miRNAs, (including miR-1179, miR-133b, miR-3194, miR-3912, miR-548j, miR-6720, miR-6734, and miR-6843) based risk score system was developed. The area under ROC curve in the training set, validation set and entire set was all above 0.93. A miRNA-gene regulatory network involving the 8 DE-miRNAs were built and functional enrichment analysis suggested the genes in the network were significantly enriched into 13 pathways, including calcium signaling pathway and hedgehog signaling pathway.

Conclusion:

The risk score system developed this study might be used for predicting the prognosis of PTC. Besides, the 8 miRNAs might affect the prognosis of PTC via hedgehog signaling pathway and calcium signaling pathway.

The Changing Face of in vitro Culture Models for Thyroid Cancer Research: A Systematic Literature Review

Background: Thyroid cancer is the most common endocrine malignancy worldwide. Primary treatment with surgery and radioactive iodine is usually successful, however, there remains a small proportion of thyroid cancers that are resistant to these treatments, and often represent aggressive forms of the disease. Since the 1950s, in vitro thyroid culture systems have been used in thyroid cancer research. In vitro culture models have evolved from 2-dimensional thyrocyte monolayers into physiologically functional 3-dimensional organoids. Recently, research groups have utilized in vitro thyroid cancer models to identify numerous genetic and epigenetic factors that are involved with tumorigenesis as well as test the efficacy of cytotoxic drugs on thyroid cancer cells and identify cancer stem cells within thyroid tumors.

Objective of Review: The objective of this literature review is to summarize how thyroid in vitro culture models have evolved and highlight how in vitro models have been fundamental to thyroid cancer research.

Type of Review: Systematic literature review.

Search Strategy: The National Institute for Health and Care Excellence (NICE) Healthcare and Databases Advanced Search (HDAS) tool was used to search EMBASE, Medline and PubMed databases. The following terms were included in the search: “in vitro” AND “thyroid cancer”. The search period was confined from January 2008 until June 2019. A manual search of the references of review articles and other key articles was also performed using Google Scholar.

Evaluation Method: All experimental studies and review articles that explicitly mentioned the use of in vitro models for thyroid cancer research in the title and/or abstract were considered. Full-text versions of all selected articles were evaluated. Experimental studies were reviewed and grouped according to topic: genetics/epigenetics, drug testing/cancer treatment, and side populations (SP)/tumor microenvironment (TME).

Results: Three thousand three hundred and seventy three articles were identified through database and manual searches. One thousand two hundred and sixteen articles remained after duplicates were removed. Five hundred and eighty nine articles were excluded based on title and/or abstract. Of the remaining 627 full-text articles: 24 were review articles, 332 related to genetic/epigenetics, 240 related to drug testing/treatments, and 31 related to SP/TME.

Conclusion:In vitro cell culture models have been fundamental in thyroid cancer research. There have been many advances in culture techniques- developing complex cellular architecture that more closely resemble tumors in vivo. Genetic and epigenetic factors that have been identified using in vitro culture models can be used as targets for novel drug therapies. In the future, in vitro systems will facilitate personalized medicine, offering bespoke treatments to patients.

Impact of outpatient pharmacy interventions on management of thyroid patients receiving lenvatinib

Objectives

Medical oncologists and pharmacists at our institution established an integrated support program aimed at preventing unnecessary treatment interruption or dose reduction during oral targeted therapy with lenvatinib. Here, we evaluated the benefits of this program in managing patients with thyroid cancer receiving lenvatinib.

Methods

We retrospectively evaluated thyroid cancer patients who received lenvatinib between May 2015 and March 2017. This descriptive study collected records in which pharmacists contributed to changing doctors' prescriptions and categorized the interventions.

Results

During the study period, 24 thyroid cancer patients were treated with lenvatinib. Among patients, the incidence of temporary interruption and dose reduction of lenvatinib due to adverse drug reactions was 100% (n = 24) and 83.3% (n = 20), respectively. There were 193 temporary interruptions of lenvatinib due to adverse drug reactions. A total of 501 outpatient pharmacy services were conducted by pharmacists in collaboration with oncologists, of which 125 were interventions (24.9%). In addition, pharmacists conducted 156 telephone follow-up services; 18 (11.5%) of these were to consult an oncologist about a patient's confirmed problems and resulted in the decision to continue observation with no medical intervention while 41 (26.2%) resulted in the oncologist deciding to temporarily interrupt lenvatinib treatment after the report of an adverse drug reaction from the pharmacist.

Conclusion

Pharmacist interventions in collaboration with medical oncologists improved lenvatinib therapy. Interventions for outpatients were conducted not only in outpatient clinics but also by telephone follow-up, clarifying the importance of continuous management for patients at risk of adverse reactions and misuse of oral medicine.

Quality of Information Available on YouTube Videos Pertaining to Thyroid Cancer

The purpose of the present study was to assess the quality of information available on YouTube videos pertaining to thyroid cancer. A search of YouTube (http://www.youtube.com) was performed on February 12, 2018, using the search terms "thyroid cancer" and "thyroid cancer treatment." The first 50 videos that appeared on each search were reviewed and 52 videos were included in the analysis. Videos were independently analyzed by two authors for video characteristics including publishing source of upload, continent of origin, presence of animation, and numbers of views, likes, and dislikes. The quality of information provided was assessed using the DISCERN and JAMA benchmark scores, while video power index was also calculated. The median (min-max) DISCERN score was 19.5 (4-71) for reviewer 1 and 20.0 (4-72) for reviewer 2. The median (min-max) JAMA benchmark score was 2.0 (1-4) for both reviewers. JAMA scores were positively correlated with video power index in both reviewer 1 (r = 0.310, p = 0.025) and reviewer 2 (r = 0.356, p = 0.010) assessment. JAMA and DISCERN scores were positively correlated with duration of videos in both reviewer 1 (r = 0.454, p = 0.001 and r = 0.533, p < 0.001, respectively) and reviewer 2 (r = 0.541, p < 0.001 and r = 0.519, p < 0.001, respectively) assessment. In conclusion, our findings revealed poor quality of information provided by YouTube videos pertaining to thyroid cancer based on DISCERN and JAWA scores. Videos with longer duration and higher video power index seem to be associated with higher quality scores, whereas no impact of using animation was shown on quality scores as well as no association between video duration and video power index.

Efficacy and Limitations of Lenvatinib Therapy for Radioiodine-Refractory Differentiated Thyroid Cancer: Real-World Experiences

Background: The ultimate clinical goal of advanced cancer treatment is improvement of survival. Tyrosine kinase inhibitors (TKIs) were recently approved for radioiodine-refractory differentiated thyroid carcinoma (RR-DTC) that is resistant to conventional therapies since they have significant potential to improve survival in patients who previously had no more treatment strategies available. However, eligible patients are limited in clinical practice, making it difficult to accurately determine the efficacy of TKIs. Patients and Methods: We retrospectively analyzed the efficacy of lenvatinib at a single institution, enrolling 42 RR-DTC patients. Results: The best overall response was partial remission in 26 (62%) patients, stable disease in 10 (24%) patients, and progressive disease (PD) in 6 (14%) patients. The results indicated three-year overall survival (OS) and progression-free survival rates of 51.0% and 32.4%, respectively. Twenty-three (55%) patients had backgrounds that did not match the inclusion criteria of the Study of (E7080) Lenvatinib in Differentiated Cancer of the Thyroid (SELECT) trial. Furthermore, PD-experienced patients individually decided whether to continue lenvatinib, and 17 (41%) made the decision themselves; these patients had a three-year OS of 43.0% and postprogression survival (PPS) of 13.3 [95% confidence interval 6.1-not reached] months. Conclusions: Our real-world investigation revealed that patients have wide-ranging background characteristics, and the decision regarding continuation of therapy after PD is based on the patient's general condition. Our management protocol resulted in good PPS. Furthermore, our results indicated equivalent efficacy of lenvatinib as in the SELECT trial. In conclusion, lenvatinib proved effective for RR-DTC patients in a real-world setting.

Virotherapy as a Potential Therapeutic Approach for the Treatment of Aggressive Thyroid Cancer

Virotherapy is a novel cancer treatment based on oncolytic viruses (OVs), which selectively infect and lyse cancer cells, without harming normal cells or tissues. Several viruses, either naturally occurring or developed through genetic engineering, are currently under investigation in clinical studies. Emerging reports suggesting the immune-stimulatory property of OVs against tumor cells further support the clinical use of OVs for the treatment of lesions lacking effective therapies. Poorly differentiated thyroid carcinoma (PDTC) and anaplastic thyroid carcinoma (ATC), have a poor prognosis and limited treatment options. Therefore, several groups investigated the therapeutic potential of OVs in PDTC/ATC models producing experimental data sustaining the potential clinical efficacy of OVs in these cancer models. Moreover, the presence of an immunosuppressive microenvironment further supports the potential use of OVs in ATC. In this review, we present the results of the studies evaluating the efficacy of OVs alone or in combination with other treatment options. In particular, their potential therapeutic combination with multiple kinases inhibitors (MKIs) or immune checkpoint inhibitors are discussed.

Recent advances in understanding immune phenotypes of thyroid carcinomas: prognostication and emerging therapies

Tumors modulate the host immune cells within their microenvironment to avoid recognition and elimination by our immune system, a phenotype called cancer immune escape. Different mechanisms responsible for cancer immune escape that result either in decreased tumor immunogenicity or in increased tumor immunosuppressive activity have been identified. Recently, various immunotherapeutic approaches have been developed with the aim to revert tumor immune escape. The aims of this review are to explore the immunological aspects of thyroid cancer and to assess whether these features can be exploited in the prognosis and treatment of advanced forms of this disease. Therefore, we will describe the immune landscape and phenotypes of thyroid cancer, summarize studies investigating the expression of immunomodulatory molecules, and finally describe the preclinical and clinical trials investigating the utility of immunotherapies in the management of thyroid cancer.

The aim of this review is to explore the immunological aspects of thyroid cancer and to assess whether these features can be exploited in the prognosis and treatment of advanced forms of this disease. Therefore, we will describe the immune-landscape and phenotypes of thyroid cancer, we will summarize studies investigating the expression of immunomodulatory molecules, and we will finally describe the preclinical and clinical trials investigating the utility of immunotherapies in the management of thyroid cancer.

Expression of Vascular Endothelial Growth Factor and Its Receptors in Thyroid Nodular Hyperplasia and Papillary Thyroid Carcinoma: A Tertiary Health Care Centre Based Study

Introduction:

Vascular endothelial growth factor (VEGF) is an angiogenic factor that plays an important role in thyroid cancer. VEGF is known to have high affinity to VEGF receptors such as VEGFR-1 (Flt-1) and VEGFR-2 (KDR). Papillary thyroid carcinoma (PTC) is the most common thyroid cancer and studies showed the increasing incidence of PTC arising in nodular hyperplasia. Targeted therapy on these growth factors and receptors are used in management of both differentiated and undifferentiated thyroid carcinoma. This study aims to determine the expression of VEGF and VEGF receptors (VEGFR) in thyroid nodular hyperplasia and PTC.

Methods:

A cross-sectional study based on paraffinized archival tissue blocks of 113 nodular hyperplasias and 67 PTC from the thyroidectomy specimens in the year of 2003 to 2014. The tissue sections were then stained by immunohistochemistry for VEGF, VEGFR-1 and VEGFR-2. The lymph node involvement and extrathyroid extension also were determined.

Results:

The mean age of PTC patients was 44.7±15.8 years and nodular hyperplasia were 42.2±13.6 years. There was a statistical difference of VEGFR-1 (p=0.028) and VEGFR-2 (p=0.003) expression between nodular hyperplasia and PTC. However, no significant difference of VEGF expression (p=0.576) between both diseases. Co-expression of VEGF and VEGFR-1 was significant in both nodular hyperplasia (p=0.016) and PTC (p=0.03), meanwhile no relevant relationship for VEGF and VEGFR-2 expression (p>0.05). No significant association (p>0.05) between lymph node status and extrathyroid extension with age groups, gender, VEGF and VEGFR expression.

Conclusions:

VEGF, VEGFR-1 and VEGFR-2 showed overexpression in both nodular hyperplasia and PTC. The expression of VEGFR-1 and VEGFR-2 are more significant in PTC with relevant co-expression of VEGF and VEGFR-1. Therefore, the inhibition of VEGFR offers a promising prospect for tumour management in thyroid carcinoma.