Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene

Zhang, Yan; Gang, Liu Wen; Yan, Guo Shi; Zhou, Ping

doi:10.3389/fendo.2022.1026059

Cited by 2 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zhang et al . 99 observed higher WNT10A expression levels in the invasive PTMC group than those in the noninvasive group, and multivariate analysis indicated that high WNT10A expression constituted a risk factor for tumor aggressiveness in PTMC patients.…”

Section: Molecular Features Of Progressive Ptmcmentioning

confidence: 84%

Clinical and molecular features of progressive papillary thyroid microcarcinoma

Wang,

Ji,

Zhang

et al. 2024

International Journal of Surgery

View full text Add to dashboard Cite

In recent decades, the prevalence of thyroid cancer has risen substantially, with papillary thyroid microcarcinoma (PTMC) constituting over 50% of cases. Although most PTMCs exhibit indolent growth and a favorable prognosis, some present an increased risk of recurrence and an unfavorable prognosis due to high-risk characteristics such as lymph node metastasis, extrathyroidal extension, and distant metastasis. The early identification of clinically progressing PTMC remains elusive. In this review, we summarize findings from PTMC progression-related literature, highlighting that factors such as larger tumor size, cervical lymph node metastasis, extrathyroidal extension, younger age, higher preoperative serum thyroid-stimulating hormone levels, family history, and obesity positively correlate with PTMC progression. The role of multifocality in promoting PTMC progression, however, remains contentious. Furthermore, recent studies have shed light on the impact of mutations, such as BRAF and TERT mutations, on PTMC progression. Researchers have identified several mRNAs, non-coding RNAs, and proteins associated with various features of PTMC progression. Some studies propose that peripheral and tumor tissue-infiltrating immune cells could serve as biomarkers for the clinical progression of PTMC. Collectively, these clinical and molecular features offer a rationale for the early detection and the development of precision theranostic strategies of clinically progressive PTMC.

show abstract

Section: Molecular Features Of Progressive Ptmcmentioning

confidence: 84%

Clinical and molecular features of progressive papillary thyroid microcarcinoma

Wang,

Ji,

Zhang

et al. 2024

International Journal of Surgery

View full text Add to dashboard Cite

show abstract

“…However, there are few preoperative evaluations of the clinical high risk of PTMC. Yan Z [13] predicted the invasiveness of PTMC by combining ultrasound and the WNT10A gene. Their research showed that risk factors for PTMC invasiveness include age < 45 years old, maximum nodule diameter > 7 mm, microcalci cation, and high expression of US-LNM and WNT10A.…”

Section: Discussionmentioning

confidence: 99%

Construction and validation of a diagnostic model for high-risk papillary thyroid microcarcinoma

Liang,

Fan,

Qiu

et al. 2023

Preprint

View full text Add to dashboard Cite

Objective The purpose of this study was to construct a diagnostic model by exploring the potential predictors of high-risk papillary thyroid microcarcinoma (PTMC) and verifying its reliability. Methods A retrospective analysis of PTMC patients who underwent surgical treatment from 2004 to 2015 in the SEER database (training set) and the clinical pathological ultrasound information of PTMC patients at the Sichuan Provincial People's Hospital from 2020 to 2022 (external validation set) was conducted. In the training set, univariate and multivariate logistic regression analyses were used to screen independent predictive factors for high-risk PTMC patients in pathology. A nomogram diagnostic model was further constructed. Additionally, ROC curves and calibration curves were drawn to evaluate the efficiency of the model. In the external validation set, the diagnostic model was indirectly evaluated based on preoperative ultrasound imaging features to explore the feasibility and reliability of diagnosing high-risk PTMC through preoperative ultrasound imaging features. Results A total of 1628 patients were included in the training set, and 530 patients were included in the test set. The independent risk factors for pathological high-risk PTMC were sex, age, tumor maximum diameter, tumor invasiveness, and cervical lymph nodes (P < 0.05). The C-index of the nomogram constructed based on these five factors was 0.947, with an optimal sensitivity of 96.7% and a specificity of 86.0%. The calibration curve showed that the model had high consistency. The area under the curve (AUC) value of the ROC curve for high-risk PTMC predicted by the risk score based on ultrasound features was 0.824 [95% CI (0.789, 0.860)], which was highly consistent with the risk score based on pathological features (κ = 0.758, P < 0.05). Conclusion Indirect evaluation of a high-risk PTMC diagnostic model based on preoperative ultrasound imaging features had high predictive efficiency and potential value for clinical application.

show abstract

Prediction of the invasiveness of PTMC by a combination of ultrasound and the WNT10A gene

Cited by 2 publications

References 27 publications

Clinical and molecular features of progressive papillary thyroid microcarcinoma

Clinical and molecular features of progressive papillary thyroid microcarcinoma

Construction and validation of a diagnostic model for high-risk papillary thyroid microcarcinoma

Contact Info

Product

Resources

About