Radiotherapy Plus Chemotherapy Leads to Prolonged Survival in Patients With Anaplastic Thyroid Cancer Compared With Radiotherapy Alone Regardless of Surgical Resection and Distant Metastasis: A Retrospective Population Study

Development and validation of a nomogram to predict overall survival in patients with redefined anaplastic thyroid carcinoma based on the SEER database

BACKGROUND

According to the latest classification of thyroid tumors released by the WHO in 2022, primary squamous cell carcinoma of the thyroid (PSCCTh) is classified as anaplastic thyroid carcinoma (ATC). The objective of this study was to determine the differences in characteristics between ATC and PSCCTh and develop a nomogram to predict overall survival patients with the redefined anaplastic thyroid carcinoma (rATC).

METHODS

Patients diagnosed with ATC and PSCCTh between 2000 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database were enrolled and randomly divided into a training cohort and a validation cohort with a ratio of 7:3. Overall survival (OS) and cancer-specific survival (CSS) was estimated using the Kaplan-Meier method and compared using log-rank tests. The univariate and multivariate Cox proportional hazards regression analyses were used to determine independent prognostic factors of rATC patients. We then developed and validated nomograms to predict the 3-, 6- and 12-month OS of rATC and the results were evaluated by C-index and calibration curves.

RESULTS

After application of the inclusion and exclusion criteria, a total of 1338 ATC and 127 PSCCTh patients were included in the study. Further, OS and CSS of patients with PSCCTh were better than that of patients with ATC. Prognostic factors were not identical for the two cancers. Multivariate Cox model analysis indicated that age, tumor size, metastasis, surgery, radiotherapy, chemotherapy are independent prognostic factors for CSS in patients with ATC; while for patients with PSCCTh, the corresponding factors are age, and surgery. We selected six survival predictors (age, tumor size, metastasis, surgery, radiation, and, chemotherapy) for nomogram construction. The C-indexes in the training and validation cohort were 0.740 and 0.778, respectively, reflecting the good discrimination ability of the model. The calibration curves also showed good consistency in the probability of 3-, 6-, and 12-month OS between the actual observation and the nomogram prediction.

CONCLUSION

We constructed a nomogram to provide a convenient and reliable tool for predicting OS in rATC patients. Prognostic factors influencing CSS were not identical in patients with ATC and PSCCTh. These findings indicate that different clinical treatment and management plans are required for patients with these two types of thyroid cancer.

The value of multimodal treatment in anaplastic thyroid cancer patients with distant metastasis

BACKGROUND

Anaplastic thyroid cancer (ATC) is a rare and aggressive malignancy with a poor prognosis, particularly in patients presenting with distant metastasis (DM). This study aimed to assess the effect of combination treatment strategies on survival in ATC patients with DM.

METHODS

A retrospective analysis was conducted using data from the Surveillance, Epidemiology, and End Results (SEER) database to identify primary ATC cases with DM at diagnosis. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify independent risk factors for survival.

RESULTS

Of the 315 ATC patients with DM included in the study, surgery to the primary tumor, radiotherapy, chemotherapy, and lung metastasis were identified as independent risk factors for survival. Patients who received primary tumor surgery plus chemotherapy or surgery plus chemoradiation exhibited a superior outcome compared to those who received only one treatment modality.

CONCLUSION

Our findings suggest that a combination treatment approach, particularly surgery combined with radiotherapy or surgery combined with chemoradiotherapy, may provide the most optimal treatment option for ATC patients with DM. These results may provide some evidence for clinical decision making, but larger sample cohorts are still needed for validation.

Advances in the management of anaplastic thyroid carcinoma: transforming a life-threatening condition into a potentially treatable disease

Anaplastic thyroid cancer (ATC) is an infrequent thyroid tumor that usually occurs in elderly patients. There is often a history of previous differentiated thyroid cancer suggesting a biological progression. It is clinically characterized by a locally invasive cervical mass of rapid onset. Metastases are found at diagnosis in 50% of patients. Due to its adverse prognosis, a prompt diagnosis is crucial. In patients with unresectable or metastatic disease, multimodal therapy (chemotherapy and external beam radiotherapy) has yielded poor outcomes with 12-month overall survival of less than 20%. Recently, significant progress has been made in understanding the oncogenic pathways of ATC, leading to the identification of BRAF V600E mutations as the driver oncogene in nearly 40% of cases. The combination of the BRAF inhibitor dabrafenib (D) and MEK inhibitor trametinib (T) showed outstanding response rates in BRAF-mutated ATC and is now considered the standard of care in this setting. Recently, it was shown that neoadjuvant use of DT followed by surgery achieved 24-month overall survival rates of 80%. Although these approaches have changed the management of ATC, effective therapies are still needed for patients with BRAF wild-type ATC, and high-quality evidence is lacking for most aspects of this neoplasia. Additionally, in real-world settings, timely access to multidisciplinary care, molecular testing, and targeted therapies continues to be a challenge. Health policies are warranted to ensure specialized treatment for ATC.The expanding knowledge of ATC´s molecular biology, in addition to the ongoing clinical trials provides hope for the development of further therapeutic options.

Surgery combined with adjuvant radiation and chemotherapy prolonged overall survival in stage IVC anaplastic thyroid cancer: a SEER-based analysis

BACKGROUND

Anaplastic thyroid carcinoma (ATC) is a rare but aggressive malignancy, which accounts for only 1-2% of all thyroid cancers. The median overall survival (OS) time for all stages patients is at about 5 months. The benefit of surgery combined with adjuvant radiation and chemotherapy in stage IVC anaplastic thyroid cancer is still controversial. The aim of this study is to investigating surgery combined with adjuvant radiation and chemotherapy and survival outcomes in stage IVC ATC patients.

METHOD

Anaplastic thyroid carcinoma patients from the Surveillance, Epidemiology, and End Results database from 2004 to 2016 were used to conduct a cross-sectional study in the analysis. The endpoint of this study was overall survival.

RESULTS

The median OS of the overall population was 2.0 months. Multivariate analysis showed that age (<67 vs. ≥67 years old, P = 0.017, HR = 1.355, 95% CI: 1.057-1.738), tumor size (<7 cm vs. ≥7 cm, P = 0.001, HR = 1.579, 95% CI: 1.202-2.073), Surgery (thyroidectomy vs. non-surgery, P < 0.001, HR = 0.554, 95% CI: 0.401-0.766), radiation therapy (P < 0.001, HR = 0.571, 95% CI: 0.445-0.733) and chemotherapy (P = 0.003, HR = 0.684, 95% CI: 0.531-0.881) were independent prognostic factor for worse OS in stage IVC ATC patients. Surgery combined with adjuvant radiation and chemotherapy exhibited the better overall survival time for 4 months.

CONCLUSIONS

Surgery combined with adjuvant radiation and chemotherapy can improve overall survival in stage IVC ATC patients. We recommend surgical approach with fully evaluation combined with radiation therapy and chemotherapy for selected stage IVC ATC patients.

The modern landscape of radiotherapy in thyroid malignancies

Thyroid carcinoma is the most common malignancy of the endocrine system and accounts for nearly 1.5% of all new cancer cases in India. The incidence of thyroid cancers is on the rise secondary to multiple factors including the widespread use of radiological imaging. Surgery remains the cornerstone of treatment, and radioactive iodine therapy plays a pivotal role in differentiated thyroid cancer. Radiation therapy appears to be an underutilized treatment modality. In this review, we have summarized the role of radiation in the treatment of thyroid cancer.

Update on current diagnosis and management of anaplastic thyroid carcinoma

Well-differentiated thyroid carcinoma has a favorable prognosis with a 5-year survival rate of over 95%. However, the undifferentiated or anaplastic type accounting for < 0.2%, usually in elderly individuals, exhibits a dismal prognosis with rapid growth and disappointing outcomes. It is the most aggressive form of thyroid carcinoma, with a median survival of 5 mo and poor quality of life (airway obstruction, dysphagia, hoarseness, persistent pain). Early diagnosis and staging are crucial. Diagnostic tools include biopsy (fine needle aspiration, core needle, open surgery), high-resolution ultrasound, computed tomography, magnetic resonance imaging, [(18)F]fluoro-D-glucose positron emission tomo-graphy/computed tomography, liquid biopsy and microRNAs. The BRAF gene (BRAF-V600E and BRAF wild type) is the most often found molecular factor. Others include the genes RET, KRAS, HRAS, and NRAS. Recent management policy is based on surgery, even debulking, chemotherapy (cisplatin or doxorubicin), radiotherapy (adjuvant or definitive), targeted biological agents and immunotherapy. The last two options constitute novel hopeful management modalities improving the overall survival in these otherwise condemned patients. Anti-programmed death-ligand 1 antibody immunotherapy, stem cell targeted therapies, nanotechnology achievements and artificial intelligence imple-mentation provide novel promising alternatives. Genetic mutations determine molecular pathways, thus indicating novel treatment strategies such as anti-BRAF, anti-vascular endothelial growth factor-A, and anti-epidermal growth factor receptor. Treatment with the combination of the BRAF inhibitor dabrafenib and the MEK inhibitor trametinib has been approved by the Food and Drug Administration in cases with BRAF-V600E gene mutations and is currently the standard care. This neoadjuvant treatment followed by surgery ensures a two-year overall survival of 80%. Prognostic factors for improved outcomes have been found to be younger age, earlier tumor stage and radiation therapy. A multidisciplinary approach is necessary, and the therapeutic plan should be individualized based on surveillance and epidemiology end results.

Development and validation of a nomogram for predicting the early death of anaplastic thyroid cancer: a SEER population-based study

BACKGROUND

Anaplastic thyroid cancer (ATC) is a highly aggressive malignancy with dismal prognosis. This study aimed to identify the independent risk factors and construct a readily-to-use nomogram to predict the probability of early death in ATC patients.

METHOD

Patients diagnosed with ATC between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database were enrolled in this study for model development and internal validation. Univariate and multivariate logistic regression analyses were conducted to identify independent risk factors for early death of ATC. Nomograms for predicting the probability of all-cause early death (ACED) and cancer-specific early death (CSED) of ATC were subsequently developed. The performance of the nomograms was comprehensively evaluated and validated in an internal cohort.

RESULT

A total of 696 ATC patients were included in this study, of which 488 patients in the training cohort and 208 patients in the validation cohort. The univariate and multivariate logistic regression analyses identified five independent factors (tumor size, M stage, surgery, radiotherapy and chemotherapy) in the ACED model and six variables in the CSED (gender, tumor size, M stage, surgery, radiotherapy and chemotherapy) model for the establishment of the nomograms. Calibration curves and receiver operating characteristic (ROC) curves showed satisfactory efficacy and consistency both in the training (ACED: AUC values: 0.814 (0.776-0.852); CSED: 0.778 (0.736-0.820)) and validation sets (ACED: 0.762 (0.696-0.827); CSED: 0.745 (0.678-0.812)). In addition, the decision curve analysis (DCA) demonstrated the favorable potential of the two nomograms in clinical application.

CONCLUSION

The two nomograms assist clinicians to identify risk factors and predict the early death probability among ATC patients, thus guide individualized treatment to improve the prognosis.

Illuminating the role of lncRNAs ROR and MALAT1 in cancer stemness state of anaplastic thyroid cancer: An exploratory study

Background

Anaplastic thyroid cancer (ATC) is one of the most aggressive malignancies in humans that accounts for a considerable rate of cancer-associated mortality. Since conventional therapies are lacking sufficient efficacy, new treatment approaches are required. This goal could be achieved through a better understanding of the molecular pathogenesis of ATC. Thyroid tumorigenesis is initiated by a subpopulation of cells known as cancer stem cells (CSCs) with specific markers such as CD133 that confers to processes such as self-renewal and metastasis. Besides, some long non-coding RNAs (lncRNAs) promote tumorigenesis by mediating the aforementioned processes.

Methods

Here, we designed an exploratory study to investigate the role of lncRNAs ROR and MALAT1 and their related genes in CSC stemness. Using magnetic-activated cell sorting (MACS), the CD133^- and CD133⁺ subpopulations were separated in SW1736 and C643 ATC cell lines. Next, the expression profiles of the CD133 marker, MALAT1, and its associated genes (CCND1, NESTIN, MYBL2, MCL1, IQGAP1), as well as ROR and its related genes (POU5F1, SOX2, NANOG), were explored by qRT-PCR.

Results

We found significant up-regulation of ROR, POU5F1, SOX2, NANOG, CD133, MALAT1, IQGAP1, and MCL1 in CD133⁺ SW1736 cells compared to CD133^- cells. As for CD133⁺ C643 cells, CCND1, IQGAP1, POU5F1, SOX2, NANOG, and NESTIN were significantly up-regulated compared to CD133^- cells.

Conclusions

This study suggests that these lncRNAs in CD133-positive SW1736 and C643 cells might regulate stemness behaviors in ATC.

Anti-Proliferative Effect of Radiotherapy and Implication of Immunotherapy in Anaplastic Thyroid Cancer Cells

Radiotherapy and immunotherapy have shown promising efficacy for the treatment of solid malignancies. Here, we aim to clarify the potential of a combined application of radiotherapy and programmed cell death-ligand 1 (PD-L1) monoclonal antibody atezolizumab in primary anaplastic thyroid cancer (ATC) cells. The radiation caused a significant reduction in cell proliferation, measured by luminescence, and of the number of colonies. The addition of atezolizumab caused a further reduction in cell proliferation of the irradiated ATC cells. However, the combined treatment did not cause either the exposure of the phosphatidylserine or the necrosis, assessed by luminescence/fluorescence. Additionally, a reduction in both uncleaved and cleaved forms of caspases 8 and 3 proteins was detectable in radiated cells. The DNA damage evidenced the over-expression of TP53, CDKN1A and CDKN1B transcripts detected by RT-qPCR and the increase in the protein level of P-γH2AX and the DNA repair deputed kinases. PD-L1 protein level increased in ATC cells after radiation. Radiotherapy caused the reduction in cell viability and an increase of PD-L1-expression, but not apoptotic cell death in ATC cells. The further combination with the immunotherapeutic atezolizumab could increase the efficacy of radiotherapy in terms of reduction in cell proliferation. Further analysis of the involvement of alternative cell death mechanisms is necessary to clarify their cell demise mechanism of action. Their efficacy represents a promising therapy for patients affected by ATC.

Comparison of the cox regression to machine learning in predicting the survival of anaplastic thyroid carcinoma

BACKGROUND

To compare the ability of the Cox regression and machine learning algorithms to predict the survival of patients with Anaplastic thyroid carcinoma (ATC).

METHODS

Patients diagnosed with ATC were extracted from the Surveillance, Epidemiology, and End Results database. The outcomes were overall survival (OS) and cancer-specific survival (CSS), divided into: (1) binary data: survival or not at 6 months and 1 year; (2): time-to-event data. The Cox regression method and machine learnings were used to construct models. Model performance was evaluated using the concordance index (C-index), brier score and calibration curves. The SHapley Additive exPlanations (SHAP) method was deployed to interpret the results of machine learning models.

RESULTS

For binary outcomes, the Logistic algorithm performed best in the prediction of 6-month OS, 12-month OS, 6-month CSS, and 12-month CSS (C-index = 0.790, 0.811, 0.775, 0.768). For time-event outcomes, traditional Cox regression exhibited good performances (OS: C-index = 0.713; CSS: C-index = 0.712). The DeepSurv algorithm performed the best in the training set (OS: C-index = 0.945; CSS: C-index = 0.834) but performs poorly in the verification set (OS: C-index = 0.658; CSS: C-index = 0.676). The brier score and calibration curve showed favorable consistency between the predicted and actual survival. The SHAP values was deployed to explain the best machine learning prediction model.

CONCLUSIONS

Cox regression and machine learning models combined with the SHAP method can predict the prognosis of ATC patients in clinical practice. However, due to the small sample size and lack of external validation, our findings should be interpreted with caution.

Combination of Novel Therapies and New Attempts in Anaplastic Thyroid Cancer

Anaplastic thyroid cancer (ATC) is one of the most lethal human malignancies, and it is rapidly falling without any effective therapeutic options. Although radical surgery, radiotherapy, and chemotherapy are performed on patients, the curative effect is suboptimal, and the survival rate is still poor. The discovery of altered gene pathways involved in this aggressive disease has advanced, but molecular targeted drugs targeting these pathways are still in clinical trials. To date, there is no effective way to treat this disease, so it is particularly urgent to find new treatments. At present, multimodal therapy is gradually being applied in clinical practice, which provides a new possibility for prolonging the survival time and improving the prognosis of anaplastic thyroid carcinoma. In this study, we retrospectively analyzed the current clinical multimodal therapy for patients with anaplastic thyroid cancer to evaluate its effect on improving the survival of patients with anaplastic thyroid cancer at different stages.

Anaplastic Thyroid Carcinoma: An Update

Anaplastic thyroid carcinoma (ATC) is a rare and undifferentiated form of thyroid cancer. Its prognosis is poor: the median overall survival (OS) of patients varies from 4 to 10 months after diagnosis. However, a doubling of the OS time may be possible owing to a more systematic use of molecular tests for targeted therapies and integration of fast-track dedicated care pathways for these patients in tertiary centers. The diagnostic confirmation, if needed, requires an urgent biopsy reread by an expert pathologist with additional immunohistochemical and molecular analyses. Therapeutic management, defined in multidisciplinary meetings, respecting the patient's choice, must start within days following diagnosis. For localized disease diagnosed after primary surgical treatment, adjuvant chemo-radiotherapy is recommended. In the event of locally advanced or metastatic disease, the prognosis is very poor. Treatment should then involve chemotherapy or targeted therapy and decompressive cervical radiotherapy. Here we will review current knowledge on ATC and provide perspectives to improve the management of this deadly disease.