About this Research Topic
The incidence of thyroid cancer is rising worldwide, and more than 90% of them are differentiated thyroid cancer. As the most common type of differentiated thyroid cancer, papillary thyroid carcinoma is apt to metastasize to cervical lymph nodes, known as an independent risk factor of locoregional recurrence. Apart from lymph node metastasis, extrathyroidal extension and vascular invasion are all regarded as adverse factors for tumor recurrence. Decisions about the extent of surgery for patients with papillary thyroid carcinoma are mainly based on the preoperative assessment of lymph node status. However, due to the limitations of imaging technology, detection rates of lymph node metastasis and extrathyroidal extension are relatively low before surgery. Therefore, early identification of these risk factors and the establishment of effective predictive models play an important role in the treatment and postoperative management of patients with thyroid cancer.
This Research Topic aims to detect the aggressiveness of thyroid cancer. We encourage analyzing the relevant risk factors of the aggressiveness of thyroid cancer and constructing an effective model to predict the extrathyroidal extension, lymph node metastasis, or vascular invasion for patients with thyroid cancer, in order to facilitate risk-stratified management of thyroid cancer recurrence, and help surgeons develop individual treatment plans preoperatively. Apart from the clinical and histological parameters, the molecular background and the driver mutations are also tended to modify the behavior of the tumor and influence the treatment plan. In conclusion, through clinical and basic research, we hope to create much more accurate preoperative detection of aggressiveness of thyroid cancer.
We welcome Original Research (clinical and basic research), Reviews, Mini Reviews, and Perspective articles focusing on the diagnosis, treatment, and evaluation of aggressiveness of thyroid cancer. Themes of interest include, but are not limited to:
• Models for predicting aggressiveness of thyroid cancer
• Influence factors for the aggressiveness of thyroid cancer
• Current advances in the aggressiveness of thyroid cancer
• The analysis of driver mutations of thyroid cancer
• Molecular background associated with aggressiveness in thyroid cancer
This Research Topic aims to detect the aggressiveness of thyroid cancer. We encourage analyzing the relevant risk factors of the aggressiveness of thyroid cancer and constructing an effective model to predict the extrathyroidal extension, lymph node metastasis, or vascular invasion for patients with thyroid cancer, in order to facilitate risk-stratified management of thyroid cancer recurrence, and help surgeons develop individual treatment plans preoperatively. Apart from the clinical and histological parameters, the molecular background and the driver mutations are also tended to modify the behavior of the tumor and influence the treatment plan. In conclusion, through clinical and basic research, we hope to create much more accurate preoperative detection of aggressiveness of thyroid cancer.
We welcome Original Research (clinical and basic research), Reviews, Mini Reviews, and Perspective articles focusing on the diagnosis, treatment, and evaluation of aggressiveness of thyroid cancer. Themes of interest include, but are not limited to:
• Models for predicting aggressiveness of thyroid cancer
• Influence factors for the aggressiveness of thyroid cancer
• Current advances in the aggressiveness of thyroid cancer
• The analysis of driver mutations of thyroid cancer
• Molecular background associated with aggressiveness in thyroid cancer
Keywords: Thyroid carcinoma, Aggressiveness, Extrathyroidal extension, Lymph node metastasis, Vascular invasion, Driver mutations, Molecular background
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
