Patient and tumor factors contributing to distant metastasis in well-differentiated thyroid cancer: a retrospective cohort study

Risk factors for distant metastasis in papillary thyroid carcinoma: Association with lateral lymph node metastasis

OBJECTIVE

This study aimed to clarify the characteristics of distant metastasis in patients with N1a and N1b papillary thyroid carcinoma (PTC) and the significance of lateral lymph node metastasis as a risk factor for distant metastasis.

METHODS

Of the 537 patients with N1a and N1b PTC who underwent surgical treatment at Hyogo Medical University from January 2013 to December 2020 and Shikoku Cancer Center from January 2007 to December 2018, 283 (79 men and 204 women) with lymph node metastasis were analyzed in this study. The median age was 58 (range, 19-93) years, and the median observation period was 73 (range, 1-152) months after surgery.

RESULTS

The incidence rate of distant metastasis was higher when metastases were detected at levels II or V. Multivariate analysis revealed that the factors that significantly increased the distant metastasis rate were age ≥ 55 years (p = 0.011), tumor size > 4 cm (p = 0.034), and lymph node metastasis at levels II and V (p = 0.034).

CONCLUSIONS

For patients with N1b metastasis, specifically at levels II or V, total thyroidectomy with lateral neck dissection should be considered the primary choice for postoperative radioactive iodine therapy.

The Surgical Management of Intracranial Metastasis Secondary to Follicular Cell-Derived Thyroid Carcinoma

BACKGROUND

Intracranial metastases (ICM) from follicular cell-derived thyroid carcinoma (FCDTC) are rare and are associated with a poor prognosis. The objective of this study is to report our experience in the surgical management of patients with ICM secondary to FCDTC.

METHODS

Patients with FCDTC who underwent surgical resection of an ICM were identified at our institution from 1998 to 2018.

RESULTS

Thirty-two patients were included in this study. Nineteen patients (59%) had involvement of the brain parenchyma only, 8 (25%) had a dural-based metastasis, 3 (9%) had a calvarial metastasis with dural extension, and 2 (6%) had a skull base metastasis with dural extension. In patients who had an R0-1 resection, the estimated lesional control at the site of resection was 91% at 3 years. However, overall ICM control was 37% at 3 years due to the progression of other ICM lesions. The 1-year disease-specific survival (DSS) was 87% and 5-year DSS was 37%.

CONCLUSIONS

ICM management in FCDTC is based on the size, number, and location of metastatic lesions. Complete resection of ICM may provide lesional control at the site of resection, however, DSS is poor due to the presence of other ICMs and metastases at multiple distant sites.

Influence of Tumor Laterality and Focality on Clinical Implications and Tumor Advancement in Well-Differentiated Thyroid Cancer

BACKGROUND

The accurate preoperative diagnosis of TC plays a very important role in the selection of an appropriate treatment strategy. In addition to the hypoechogenicity of thyroid lesions on ultrasound and the presence of microcalcifications or high cell atypia on FNAB, highlighting the features of laterality and focality and ascertaining their influence (alone or combined) on TC staging and appropriate treatment are crucial.

MATERIALS AND METHODS

A retrospective analysis of the clinical data of 697 patients admitted to the study center between 2008 and 2023 was conducted. Preoperative data (age, sex, type of surgery, ultrasound, and FNAB data) and postoperative histopathological data indicating TC advancement (pTNM, extrathyroidal extension, vascular invasion) were collected and analyzed. Patients presenting well-differentiated TCs (papillary TC and follicular TC) were isolated for better clinical evaluation. Finally, patients were divided into four groups according to their laterality and focality features, and the influences of combinations of these features on TC advancement were analyzed.

RESULTS

The largest group included patients with unilateral and solitary TC (n = 461). This group had the lowest rate of negative prognostic features: extrathyroidal extension, lymph node invasion, distant metastases, and vascular invasion (25.81%, 19.96%, 3.69%, and 26.46%, respectively). In contrast, the group with bilateral and multifocal TC (n = 40) presented the highest percentages of the mentioned features (82.50%, 82.50%, 7.50%, and 77.50%, respectively). All the results were statistically significant (p < 0.0001).

CONCLUSIONS

Laterality and focality features may be important parameters in the management of TC and should be accurately determined. These features should be combined and a more aggressive treatment method should be selected to reduce the reoperation rate.

Midkine promotes thyroid cancer cell migration and invasion by activating the phosphatidylinositol 3 kinase/protein kinase B/mammalian target of rapamycin pathway

Objective

Thyroid cancer (TC) therapy, which is routinely used at present, can improve patients' survival rates. However, lymph node metastasis results in a higher degree of TC malignancy in patients who experience recurrence and/or death. The elucidation of new mechanisms of TC metastasis can help identify new therapeutic targets. Midkine (MDK) is expressed aberrantly in various cancers. However, the regulatory mechanisms of MDK in TC remain largely unknown. Hence, this study mainly explores the effect and molecular function of MDK in TC.

Material and Methods

MDK gene expression and protein levels were analyzed using the Gene Expression Profiling Interactive Analysis and the Human Protein Atlas online databases. MDK messenger RNA (mRNA) in TC was analyzed by quantitative real-time polymerase chain reaction. MDK, phosphatidylinositol 3 kinase (PI3K), phosphorylated AKT (p-AKT), and phosphorylated mammalian target of rapamycin (p-mTOR) protein in TC were analyzed by Western blotting. Transwell and wound healing assays were performed to evaluate TC cell metastasis.

Results

MDK mRNA was significantly highly expressed in most patients with TC (P < 0.05). Moreover, MDK gene expression levels correlated with different TC stages. MDK protein was negative in normal tissues and positive in TC tissues. MDK mRNA and protein were significantly highly expressed in TC cells (P < 0.01). Compared with metastasis in the control group, that in the MDK group is significantly suppressed by MDK knockdown (P < 0.001). MDK knockdown also significantly inhibited PI3K, p-AKT, and p-mTOR protein expression in TPC-1 and K1 cells (P < 0.001). The activation of PAmT-P significantly enhanced the PI3K, p-AKT, and p-mTOR protein expression in TPC-1 and K1 cells (P < 0.001) and promoted metastasis (P < 0.001), thereby disrupting the inhibitory effect of the MDK knockdown.

Conclusion

Our findings confirmed that MDK promotes TC migration and invasion by activating PAmT-P. MDK is a novel molecular target for the treatment of patients with metastatic TC.

Development and validation of an interpretable machine learning model for predicting the risk of distant metastasis in papillary thyroid cancer: a multicenter study

Background

The survival rate of patients with distant metastasis (DM) of papillary thyroid carcinoma (PTC) is significantly reduced. It is of great significance to find an effective method for early prediction of the risk of DM for formulating individualized diagnosis and treatment plans and improving prognosis. Previous studies have significant limitations, and it is still necessary to develop new models for predicting the risk of DM of PTC. We aimed to develop and validate interpretable machine learning (ML) models for early prediction of DM in patients with PTC using a multicenter cohort.

Methods

We collected data on patients with PTC who were admitted between June 2013 and May 2023. Data from 1430 patients at Yunnan Cancer Hospital (YCH) served as the training and internal validation set, while data from 434 patients at the First Affiliated Hospital of Kunming Medical University (KMU 1st AH) was used as the external test set. Nine ML methods such as random forest (RF) were used to construct the model. Model prediction performance was compared using evaluation indicators such as the area under the receiver operating characteristic curve (AUC). The SHapley Additive exPlanation (SHAP) method was used to rank the feature importance and explain the final model.

Findings

Among the nine ML models, the RF model performed the best. The RF model accurately predicted the risk of DM in patients with PTC in both the internal validation of the training set [AUC: 0.913, 95% confidence interval (CI) (0.9075-0.9185)] and the external test set [AUC: 0.8996, 95% CI (0.8483-0.9509)]. The calibration curve showed high agreement between the predicted and observed risks. In the sensitivity analysis focusing on DM sites of PTC, the RF model exhibited outstanding performance in predicting "lung-only metastasis" showing high AUC, specificity, sensitivity, F1 score, and a low Brier score. SHAP analysis identified variables that contributed to the model predictions. An online calculator based on the RF model was developed and made available for clinicians at https://predictingdistantmetastasis.shinyapps.io/shiny1/. 11 variables were included in the final RF model: age of the patient with PTC, whether the tumor size is > 2 cm, whether the tumor size is ≤ 1 cm, lymphocyte (LYM) count, monocyte (MONO) count, monocyte/lymphocyte ratio (MLR), thyroglobulin (TG) level, thyroid peroxidase antibody (TPOAb) level, whether the T stage is T1/2, whether the T stage is T3/4, and whether the N stage is N0.

Interpretation

On the basis of large-sample and multicenter data, we developed and validated an explainable ML model for predicting the risk of DM in patients with PTC. The model helps clinicians to identify high-risk patients early and provides a basis for individualized patient treatment plans.

Funding

This work was supported by the National Natural Science Foundation of China (No. 81960426, 82360345 and 82001986), the Outstanding Youth Science Foundation of Yunnan Basic Research Project (No. 202401AY070001-316), Yunnan Province Applied and Basic Research Foundation (No. 202401AT070008), and Ten Thousand Talent Plans for Young Top-notch Talents of Yunnan Province.

Clinical Characteristics and Treatment Outcomes of Thyroid Cancer at a Tertiary Care Hospital in Najran Region, Saudi Arabia: A Single-Centre Retrospective Study

Background The global incidence of thyroid cancer has increased significantly over the past decades. This study aims to review the clinical characteristics and treatment outcomes of thyroid cancer at the Tertiary Care Hospital in the Najran region of Saudi Arabia. Material and methods We conducted a retrospective study of 279 patients diagnosed with thyroid cancer at our hospital from March 2014 to December 2021. Clinicopathologic parameters were obtained from the patient's medical records and examined using univariate and multivariate Cox regression to identify independent predictive markers. Result The mean age was 42.8 ±14.5 years, and most cases were female (n= 203, 72.8%). Most cases (n=170, 60.9%) underwent total thyroidectomy. Additionally, lymph node dissection was performed in 28 (10.0%) cases. Localized disease, distant, and regional metastasis were observed in 214 (76.7%), 34 (12.2%), and 31 (11.1%), respectively. The neck lymph nodes and lungs were the most common metastasis regions in 19 (6.8%) and 11 (3.9%) cases, respectively. Papillary thyroid cancer and follicular thyroid cancers accounted for the majority of cases in 236 (84.6%) and 33 (11.8%), respectively. Adjuvant therapy, including radioactive iodine ablation, was reported in 51 (18.3%) and external beam radiotherapy in four (1.4%). Independent prognostic factors of overall mortality of thyroid carcinoma were older age (Hazard ratio (HR):1.05, 95% confidence interval (CI): 1.01-1.09, p=0.008), Diabetic mellitus (HR: 4.30, 95% CI: 1.11-16.62, p=0.035), pathologic subtype of follicular carcinoma (HR: 4.48, 95% CI: 1.07-18.73, p=0.040) or non-papillary thyroid carcinoma subtypes (HR: 12.56, 95% CI: 2.44-64.74, p=0.002), metastasis presentation (HR: 11.70, 95% CI: 3.30-41.46, p<0.001), pulmonary metastasis (HR: 27.92, 95% CI: 6.96-111.98, p<0.001), bone and liver metastasis (HR: 15.20, 95% CI: 1.70-135.98, p=0.015), tumor size >4 cm (HR:121.21, 95% CI: 15.33-958.34, p<0.001), and extrathyroidal extension (HR: 6.15, 95% CI: 1.59-23.77, p=0.009). Conclusion This study demonstrates that advanced age, the presence of diabetes, non-papillary thyroid carcinoma subtypes, metastatic disease, tumor size greater than 4 cm, and extrathyroidal extension are independently associated with a poorer prognosis in patients with thyroid carcinoma. To offer the finest modern care, a multidisciplinary approach should be employed when developing a tailored treatment strategy, considering relevant recommendations and stratification systems.

The U-Shaped association between age and distant metastasis in patients with papillary thyroid carcinoma

PURPOSE

To investigate the association between age distribution and synchronous distant metastasis of papillary thyroid carcinoma.

METHOD

Patients with PTC who were treated from January 2013 to December 2018 at a single institute in a cancer referral center in China were retrospectively reviewed. A logistic regression model with restricted cubic splines (RCS) was used to examine the association between age at diagnosis and synchronous distant metastasis.

RESULTS

A total of 111 patients (0.7%) were diagnosed with distant metastasis. The logistic regression model with RCS revealed a "U-shape" association between age and distant metastasis. The RCS curve suggested a U-shaped pattern. The multivariable regression analysis showed that patients in the age groups ≤21 years (OR 2.33, 95% CI 1.09-4.68, P = 0.022) and >55 years (OR 3.32, 95% CI 1.99-5.46, P < 0.001) had a significantly higher incidence of distant metastasis than patients in the age group of 22 to 55 years.

CONCLUSIONS

A U-shaped association was observed between age at diagnosis and synchronous distant metastasis in papillary thyroid carcinoma patients.

Stem cell index-based RiskScore model for predicting prognosis in thyroid cancer and experimental verification

Objective

An mRNA expression-based stemness index (mRNAsi) has been developed to characterize cancer stemness. However, the predictive value of mRNAsi-based signature in therapeutic resistance and immunotherapy in thyroid cancer (THCA) remains unclarified. This study evaluated and validated the role of mRNAsi in drug sensitivity, its relationship between mRNAsi and THCA clinical features and immunity based on bioinformatics.

Methods

Based on transcriptome data of THCA patients from the Tumor Genome Atlas Project (TCGA) database, and expression data of multifunctional stem cell samples from the Progenitor Cell Biology Consortium (PCBC) databases, mRNAsi was calculated by the " one class logistic regression (OCLR)" method, Molecular subtypes of TCGA-THCA samples were identified with mRNAsi-related genes using ConsensusClusterPlus method. The gene mutation, clinical characteristics, immune characteristics, TIDE and drug sensitivity were compared among molecular subtypes. A prognostic model was designed with Lasso cox method. Modulation of malignant phenotype of THCA cell lines by model characterization genes is validated by CCK-8, flow cytometry. DNA methylation disorder in promoter region was analyzed between risk groups. The model was validated for survival in the internal Test dataset, while TCGA pan-cancer and immunotherapy datasets were further employed to validate the performance of this model.

Results

We obtained a total of 78 stem cell samples, each containing the expression profile of 8087 mRNA genes. Based on mRNAsi, THCA was divided into 3 subtypes. Subtype C2 had the poorest prognosis and highest immune score, while subtype C3 had the best prognosis, lowest mRANsi and highest TIDE score. Patients in subtype C2 showed higher sensitivity to Cisplatin, Erlotinib, Paclitaxel, and Lapatinib. The prognostic signature was generated using 5 mRNAsi-related genes, which could predict prognosis for THCA. qRT-PCR results showed that the expression of 5 genes were various in Hth7 and KTC-1 cells, and inhibition CELSR3 expression increased percentage of apoptosis in Hth7 and KTC-1 cells. mRNAsi related DNA methylation sites were mainly enriched in tumor related pathways. Good performance of this model was validated in Test dataset, pan-cancer and immunotherapy datasets.

Conclusion

This study identified three subtypes for classification and developed a prognostic model with mRNAsi-related genes, which provided great potential for prognosis and immunotherapy prediction.

Rare Presentations of Differentiated Thyroid Cancer Exposing Dr Jekyll and Mr Hyde Nature of an Otherwise Indolent Disease: Case Series

ABSTRACT

Differentiated thyroid carcinoma (DTC) usually manifests as an indolent cancer with good prognosis. However, rarely uncommon sites of metastatic involvement can worsen the prognosis and require aggressive therapeutic approach. Here in, we describe 5 patients (3 women and 2 men) harboring rare sites of metastatic involvement from DTC including the adrenals, colon, kidneys, urinary bladder, brachial plexus, and superior vena cava with contiguous right atrial involvement. The awareness of such rare sites of involvement from DTC is imperative for treating clinicians to plan individualistic approach in management including multiprong therapies for better patient care.

Long Non-Coding RNAs as Determinants of Thyroid Cancer Phenotypes: Investigating Differential Gene Expression Patterns and Novel Biomarker Discovery

Thyroid Cancer (TC) is the most common endocrine malignancy, with increasing incidence globally. Papillary thyroid cancer (PTC), a differentiated form of TC, accounts for approximately 90% of TC and occurs predominantly in women of childbearing age. Although responsive to current treatments, recurrence of PTC by middle age is common and is much more refractive to treatment. Undifferentiated TC, particularly anaplastic thyroid cancer (ATC), is the most aggressive TC subtype, characterized by it being resistant and unresponsive to all therapeutic and surgical interventions. Further, ATC is one of the most aggressive and lethal malignancies across all cancer types. Despite the differences in therapeutic needs in differentiated vs. undifferentiated TC subtypes, there is a critical unmet need for the identification of molecular biomarkers that can aid in early diagnosis, prognosis, and actionable therapeutic targets for intervention. Advances in the field of cancer genomics have enabled for the elucidation of differential gene expression patterns between tumors and healthy tissue. A novel category of molecules, known as non-coding RNAs, can themselves be differentially expressed, and extensively contribute to the up- and downregulation of protein coding genes, serving as master orchestrators of regulated and dysregulated gene expression patterns. These non-coding RNAs have been identified for their roles in driving carcinogenic patterns at various stages of tumor development and have become attractive targets for study. The identification of specific genes that are differentially expressed can give insight into mechanisms that drive carcinogenic patterns, filling the gaps of deciphering molecular and cellular processes that modulate TC subtypes, outside of well-known driver mutations.

EFFICACY AND PROGNOSIS IN PATIENTS WITH PAPILLARY THYROID CANCER WITH POSTOPERATIVE PREABLATIVE STIMULATED THYROGLOBULIN ABOVE 10 NG/ML AFTER INITIAL THERAPY WITH RADIOIODINE

Objective

Few prognostic analyses have been conducted for papillary thyroid cancer (PTC) patients with preablative stimulated Tg >10 ng/mL. We investigated the therapeutic responses and prognosis of these patients after the initial radioiodine (RAI) therapy.

Methods

We retrospectively assessed 256 patients with PTC who underwent RAI remnant ablation after total thyroidectomy, and all presTg levels were >10 ng/mL. We assessed therapeutic responses and influencing factors 6-12 months after the initial RAI therapy. The Kaplan-Meier method was used to analyze progression-free survival (PFS).

Results

After initial RAI therapy, excellent (ER), indeterminate (IDR), biochemically incomplete (BIR), and structurally incomplete (SIR) responses were identified in 5.1% (13/256), 22.6% (58/256), 46.9% (120/256), and 25.4% (65/256) of the patients, respectively. Among them, incomplete response (IR [BIR+SIR]), accounting for 72.3% of the responses. Univariate and multivariate analyses showed that presTg (OR=1.047, 95% CI 1.027-1.066, p=0.000), sex (OR=3.356, 95% CI 1.613-6.986, p=0.001), and tumor size (OR=1.431, 95% CI 1.050-1.951, p=0.023) were independent risk factors for IR. ROC analysis identified presTg levels and tumor size cutoffs of 24.4 mg/mL and 2.3 cm, respectively, for predicting IR. The PFS was significantly shorter in the SIR group than in the ER, IDR, and BIR groups (p=0.020). At the last follow-up, the number of patients with SIR decreased significantly (65 to 44 cases).

Conclusions

PresTg level, tumor size, and male sex were predictive of IR, and patients with initial SIR showed the poorest prognosis. Individualized interventions can improve the prognosis of patients with an initial SIR.

Cytosolic Cadherin 4 promotes angiogenesis and metastasis in papillary thyroid cancer by suppressing the ubiquitination/degradation of β-catenin

BACKGROUND

Although the long-term prognosis of papillary thyroid cancer (PTC) is favorable, distant metastasis significantly compromises the prognosis and quality of life for patients with PTC. The Cadherin family plays a pivotal role in tumor metastasis; however, the involvement of Cadherin 4 (CDH4) in the metastatic cascade remains elusive.

METHODS

The expression and subcellular localization of CDH4 were determined through immunohistochemistry, immunofluorescence, and western blot analyses. The impact of CDH4 on cell migration, invasion, angiogenesis, and metastasis was assessed using transwell assays, tube formation assays, and animal experiments. Immunoprecipitation assay and mass spectrometry were employed to examine protein associations. The influence of CDH4 on the subcellular expression of β-catenin and active β-catenin was investigated via western blotting and immunofluorescence. Protein stability and ubiquitination assay were employed to verify the impact of CDH4 on β-catenin degradation. Rescue experiments were performed to ensure the significance of CDH4 in regulating nuclear β-catenin signaling.

RESULTS

CDH4 was found to be significantly overexpressed in PTC tissues and predominantly localized in the cytoplasm. Furthermore, the overexpression of CDH4 in tumor tissues is associated with lymph node metastasis in PTC patients. Cytosolic CDH4 promoted the migration, invasion, and lung metastasis of PTC cells and stimulated the angiogenesis and tumorigenesis of PTC; however, this effect could be reversed by Tegavivint, an antagonist of β-catenin. Mechanistically, cytosolic CDH4 disrupted the interaction between β-catenin and β-TrCP1, consequently impeding the ubiquitination process of β-catenin and activating the nuclear β-catenin signaling.

CONCLUSIONS

CDH4 induces PTC angiogenesis and metastasis via the inhibition of β-TrCP1-dependent ubiquitination of β-Catenin.

The Impact of BRAF V600E Mutation Allele Frequency on the Histopathological Characteristics of Thyroid Cancer

BACKGROUND

A BRAF V600E mutation in papillary thyroid cancer (PTC) has been shown to be associated with aggressive behavior. Nevertheless, not all BRAF V600E PTCs behave aggressively. Allele frequency (AF) is the number of mutated molecules divided by the total number of wild-type molecules at a specific location in the genome. The relationship between BRAF V600E AF and the histopathological features of thyroid malignancies is not well understood. We hypothesized that the BRAF V600E AF will correlate directly with aggressive histopathological behavior. The aim of this study was to examine this relationship.

METHODS

A retrospective chart review was performed for patients treated for BRAF V600E thyroid malignancies from 2019 to 2022 at McGill University tertiary care hospitals (n = 317). Patients with BRAF V600E-positive malignancies that included information on AF were included (n = 44). The correlation between AF and tumor histopathological features was analyzed.

RESULTS

Out of the 44 nodules with a BRAF V600E mutation, those with aggressive features of PTC had a mean AF of 25.8%, which was significantly higher than the non-aggressive group with a mean AF of 10.25% (p = 0.020). Additionally, there was a statistically significant difference in mean AF between patients with a positive sentinel LN (29%) and those with a negative sentinel LN (17.8%) (p = 0.021). Classical PTC was present in 29.5% (13/44) of nodules, with a mean AF of 15.6%. The tall cell subtype was found in 64% (28/44) of nodules, with a mean AF of 23%. Solid and hobnail subtypes were less common in this study, and there was no statistically significant relationship between AF and histopathological subtypes (p = 0.107). Nodules smaller than 1cm had a mean AF of 13.3%, while nodules ranging from 1 2cm had a mean AF of 20.6%, and those larger than 2cm had a mean AF of 27.7%. However, no statistical difference was observed between AF and nodule size (p = 0.160).

CONCLUSION

In this study, BRAF V600E mutations in conjunction with AF help to determine whether thyroid malignancies will display aggressive behavior. This pre-operative finding can help thyroid specialists to determine the extent of thyroidectomy and whether lymph node dissection is required.

Nomogram incorporating preoperative clinical and ultrasound indicators to predict aggressiveness of solitary papillary thyroid carcinoma

Objective

To construct a nomogram based on preoperative clinical and ultrasound indicators to predict aggressiveness of solitary papillary thyroid carcinoma (PTC).

Methods

Preoperative clinical and ultrasound data from 709 patients diagnosed with solitary PTC between January 2017 and December 2020 were analyzed retrospectively. Univariate and multivariate logistic regression analyses were performed to identify the factors associated with PTC aggressiveness, and these factors were used to construct a predictive nomogram. The nomogram's performance was evaluated in the primary and validation cohorts.

Results

The 709 patients were separated into a primary cohort (n = 424) and a validation cohort (n = 285). Univariate analysis in the primary cohort showed 13 variables to be associated with aggressive PTC. In multivariate logistic regression analysis, the independent predictors of aggressive behavior were age (OR, 2.08; 95% CI, 1.30-3.35), tumor size (OR, 4.0; 95% CI, 2.17-7.37), capsule abutment (OR, 2.53; 95% CI, 1.50-4.26), and suspected cervical lymph nodes metastasis (OR, 2.50; 95% CI, 1.20-5.21). The nomogram incorporating these four predictors showed good discrimination and calibration in both the primary cohort (area under the curve, 0.77; 95% CI, 0.72-0.81; Hosmer-Lemeshow test, P = 0.967 and the validation cohort (area under the curve, 0.72; 95% CI, 0.66-0.78; Hosmer-Lemeshow test, P = 0.251).

Conclusion

The proposed nomogram shows good ability to predict PTC aggressiveness and could be useful during treatment decision making.

Advances in knowledge

Our nomogram-based on four indicators-provides comprehensive assessment of aggressive behavior of PTC and could be a useful tool in the clinic.

Nomogram individually predicts the risk for distant metastasis and prognosis value in female differentiated thyroid cancer patients: A SEER-based study

Objective

Distant metastasis (DM) is an important prognostic factor in differentiated thyroid cancer (DTC) and determines the course of treatment. This study aimed to establish a predictive nomogram model that could individually estimate the risk of DM and analyze the prognosis of female DTC patients (FDTCs).

Materials and methods

A total of 26,998 FDTCs were retrospectively searched from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2018 and randomly divided into validation and training cohorts. Univariate and multivariate analyses were performed to screen for prognostic factors and construct a prediction nomogram. The performance of the nomogram was assessed by the area under the receiver operating characteristic curve (AUC), concordance index (C-index), and a calibration curve. The overall survival (OS) and cancer-specific survival (CSS) were evaluated by Kaplan-Meier (K-M) analysis.

Results

A total of 263 (0.97%) FDTCs were reported to have DM. K-M analysis showed the association of multiple-organ metastases and brain involvement with lower survival rates (P < 0.001) in patients. Tumor size, age at diagnosis, thyroidectomy, N1 stage, T3-4 stage, and pathological type were independent predictive factors of DM in FDTCs (all P < 0.001). Similarly, age at diagnosis, Black, DM, T3-4 stage, thyroidectomy, and lung metastasis were determined as independent prognostic factors for FDTCs (all P < 0.001). Several predictive nomograms were established based on the above factors. The C-index, AUC, and calibration curves demonstrated a good performance of these nomogram models.

Conclusion

Our study was successful in establishing and validating nomograms that could predict DM, as well as CSS and OS in individual patients with FDTC based on a large study cohort. These nomograms could enable surgeons to perform individualized survival evaluation and risk stratification for FDTCs.

Clinical detection of "extremely low-risk" follicular thyroid carcinoma: A population-based study of 7304 patients

Background

Previous studies have not been consistent in the risk of metastasis in follicular thyroid carcinoma (FTC). Therefore, we conducted a large population study to stratify the risk of distant metastasis in FTC patients using only clinical parameters.

Methods

We extracted FTC patients from The Surveillance, Epidemiology, and End Results (SEER) database and divided them into training and validation cohorts.

Results

The two cohorts consisted of 4913 and 2391 patients, respectively. We developed a nomogram and risk table based on a logistic regression model using algorithm-selected variables. Receiver Operating Characteristic (ROC) analyses showed high discriminatory power in the training and validation cohorts (Area under the curve [AUC] of 0.85 and 0.84, respectively). Extremely low, low, intermediate, and high-risk groups had 0.3%, 1%, 3.5%, and 16.7% risk of distant metastasis, respectively.

Conclusions

Our risk scoring table can separates patients into four risk groups and efficiently detect patients with almost no risk of metastasis.

Can Cervical Lymph Node Metastasis Increase the Risk of Distant Metastasis in Papillary Thyroid Carcinoma?

Background

Distant metastasis (DM) is a rare event and has a negative effect on the prognosis for papillary thyroid carcinoma (PTC). The relationship between cervical lymph node metastasis and DM is complicated and unclear. This study aimed to evaluate the impact of N stage subclassification on different distant metastasis sites based on age stratification, especially for patients with papillary thyroid microcarcinoma.

Methods

A total of 28,712 patient with PTC cases between 2010 and 2018 were extracted from the Surveillance, Epidemiology, and End Results database. Multivariable logistic regression analysis was utilized to adjust for confounding variables. Risk stratification, including positive lymph node number and lymph node ratio, was established by receiver operating characteristic curves to help predict DM.

Results

Lung was the most common metastatic site regardless of N0, N1a disease, or N1b disease. As the N stage increased, the higher the rate of DM identified. After age stratification, only N1b disease significantly increased the risk of lung metastasis (LM; odds ratio, OR = 20.45, P < 0.001) rather than bone metastasis (BM; OR = 3.46, P > 0.05) in younger patients. However, in older patients, N1b disease significantly increased the risk of both LM (OR = 4.10, P < 0.001) and BM (OR = 2.65, P = 0.007). In patients with papillary thyroid microcarcinoma (PTMC), N1a disease did not increase the risk of DM, LM, and BM compared with N0 disease (P > 0.05). Furthermore, combined N stage with risk stratification has well performance in predicting DM (area under the curve, AUC = 0.761). Similar results were shown in PTC patients with LM (AUC = 0.770) and BM (AUC = 0.729).

Conclusion

Overall, the incidence of DM significantly increased with the progress of N disease after age stratification. N1a disease did not increase the risk of DM in PTMC patients, regardless of LM or BM. Combined N stage with risk stratification may be beneficial for DM prediction.

Cytopathology of the distant metastasis of papillary carcinoma of thyroid

AIMS

To describe the cytomorphological features at distant metastatic sites apart from lymph nodes in papillary thyroid carcinoma (PTC).

MATERIALS AND METHODS

A total of eight cytology cases from seven patients reported as metastatic papillary carcinoma of thyroid were reviewed including available clinical and radiological details. The details clinical and cytological features were studied.

RESULTS

There were a total of five males and two female patients. Two of these patients presented with lung nodules, two patients had bony lesion and lesion in kidney respectively and one patient had both bony and soft tissue lesions. Pleural fluid and bronchoalveolar lavage were received from remaining two patients. Cytology smears revealed papillary clusters and sheets of tumor cells, having round to oval nuclei with pale powdery chromatin, inconspicuous nucleoli and scant to moderate amount of cytoplasm. Nuclear features such as longitudinal nuclear grooves, intranuclear cytoplasmic inclusions were seen in all but one case. Nuclear enlargement and overlapping were variably present.

CONCLUSIONS

The diagnosis of metastatic PTC at uncommon locations is difficult. Since many of these locations are amenable to fine needle aspiration or exfoliative cytology evaluation, clinical awareness, and identification of classic cytomorphologic features can offer quick and accurate diagnoses. In cases with occult or unknown PTC presenting with metastases, cytomorphology may help in the prompt suggestion of detecting primary tumor in the thyroid.

Hemi-mandibulectomy without bony reconstruction: A case report of mandibular metastasis from a silent differentiated papillary thyroid cancer

Introduction

Case presentation

Discussion

•

Mandibulectomy without reconstruction can be performed for selected cases.

•

Metastasis to the mandible from differentiated thyroid cancer is rare.

•

Silent thyroid cancer can be manifested as mandible metastasis.

Histopathological Types of Papillary Thyroid Carcinoma: Clinicopathologic Study

BACKGROUND: Papillary thyroid carcinoma (PTC) is the most common type of thyroid carcinoma that represents a set of characteristic of nuclear features in which the diagnosis is depend. AIM: The study aimed to review different variants of PTC which has different malignant potential in correlation with many prognostic and clinical factors in Iraq. PATIENTS AND METHODS: Paraffin blocks of 227 cases of PTC were selected, subtyped, and grouped according to the malignant potential. The prognostic and clinical factors were studied. RESULTS: The mean age was (39.29 ± 12.17) years, with female predominance (86.3%), where (55.5%) of them below 40 years, conventional variant was most common (40.1%), followed by papillary microcarcinoma variant, 197 cases (86.8%) were classified as low to intermediate malignant potential, and 30 cases (13.2%) were classified as high malignant potential. On comparison, among the tumor stages, tumor focality, native capsular invasion, lymph nodes involvement, presence or absence of vascular invasion, extrathyroid extension, and distant metastasis, there is no significant correlation between them, whereas with the tumor size, there is significant correlation between them (p =< 0.05). CONCLUSION: Conventional type followed by micropapillary type is most common. The mean age in Iraqi patients is lower than other countries for PTC. There is no significant association regarding prognostic factors between low to intermediate malignant potential variants and high malignant potential variants with exception of tumor diameter.

Identification and validation of potential novel biomarkers to predict distant metastasis in differentiated thyroid cancer

Background

Distant metastasis (DM) is not common in differentiated thyroid cancer (DTC). However, it is associated with a significantly poor prognosis. Early detection of high-risk DTC patients is difficult, and the molecular mechanism is still unclear. Therefore, the present study aims to establish a novel predictive model based on clinicopathological parameters and DM-related gene signatures to provide guidelines for clinicians in decision making.

Methods

Weighted gene co-expression network analysis (WGCNA) was performed to discover co-expressed gene modules and hub genes associated with DM. Univariate and multivariate analyses were carried out to identify independent clinicopathological risk factors based on The Cancer Genome Atlas (TCGA) database. An integrated nomogram prediction model was established. Finally, real hub genes were validated using the GSE60542 database and various thyroid cell lines.

Results

The midnightblue module was most significantly positively correlated with DM (R=0.56, P=9e-06) by as per WGCNA. DLX5 (AUC: 0.769), COX6B2 (AUC: 0.764), and LYPD1 (AUC: 0.760) were determined to be the real hub genes that play a crucial role in predicting DM. Meanwhile, univariate and multivariate analyses demonstrated that T-stage (OR, 15.03; 95% CI, 1.75-319.40; and P=0.024), histologic subtype (OR, 0.17; 95% CI, 0.03-0.92; and P=0.042) were the independent predictors of DM. Subsequently, a nomogram model was constructed based on gene signatures and independent clinical risk factors exhibited good performance. Additionally, the mRNA expressions of real hub genes in the GSE60542 dataset were consistent with TCGA.

Conclusions

The present study has provided a reliable model to predict DM in patients with DTC. This model is likely to serve as an individual risk assessment tool in therapeutic decision-making.

Loss of ZNF677 Expression Is an Independent Predictor for Distant Metastasis in Middle Eastern Papillary Thyroid Carcinoma Patients

Thyroid cancer incidence has increased in recent decades. Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. Approximately 30% of PTC patients develop recurrence or distant metastasis and tend to have poor prognosis. Therefore, the identification of targetable biomarkers in this subset of patients is of great importance. Accumulating evidence indicates that zinc finger protein 677 (ZNF677), which belongs to the zinc finger protein family, is an important effector during the progression of multiple malignancies. However, its role in Middle Eastern PTC patients has not been fully illustrated. Here, we uncovered the molecular mechanism and the clinical impact of ZNF677 expression in a large cohort of more than 1200 Middle Eastern PTC and 15 metastatic tissues. We demonstrated that ZNF677 is frequently downregulated in primary PTC (13.6%, 168/1235) and showed that complete loss of expression of ZNF677 is significantly associated with aggressive clinico-pathological markers such as extrathyroidal extension (p = 0.0008) and distant metastases (p < 0.0001). We also found a significantly higher incidence of ZNF677 loss in primary tumors with distant metastases (33.3%; p < 0.0001) as well as in distant metastatic tissues (46.7%; p = 0.0002) compared to the overall cohort (13.6%). More importantly, PTC with loss of ZNF677 expression showed significantly lower metastasis-free survival (p = 0.0090). Interestingly, on multivariate logistic regression analysis, ZNF677 loss was an independent predictor of distant metastasis in PTC (Odds ratio = 2.60, 95% Confidence interval = 1.20–5.62, p = 0.0155). In addition, we found a significant association between ZNF677 loss and phospho-AKT expression (p < 0.0001). Our functional molecular results suggest that ZNF677 acts as a tumor suppressor, mediating its effect by inhibiting AKT phosphorylation. Taken together, our results highlight the pivotal role played by ZNF677 during carcinogenesis and metastasis formation in Middle Eastern PTC patients.