Predicting risk of lymph node metastasis in papillary thyroid cancer using miRNAs and clinicopathological features

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Küçük Resim

Tarih

2025

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer Nature Link

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Araştırma projeleri

Organizasyon Birimleri

Dergi sayısı

Özet

This study investigates potential prognostic values in models created with clinico pathological features and expression profles of miRNAs known for their critical roles in papillary thyroid carcinoma (PTC) for lymph node metastasis (LNM) in PTC cases. Forty-seven lymph node-metastatic PTC patients and 46 non-metastatic patients were included. Using RT-PCR, miR-21, miR-146b, miR-221, and miR-222 expression was analyzed in carcinoma tissues and metastatic lymph nodes of the same PTC patients and carcinoma tissues of non-metastatic PTC patients. MiR 146b (p<0.001) and miR-221 (p=0.009) were overexpressed in metastatic PTCs compared to non-metastatic PTCs. The miRNA expression profles were similar in the lymph nodes and primary cancer of metastatic PTCs. In the presence of larger tumors (>1 cm) in metastatic PTCs, miR-146b and miR221 were overexpressed in the tumor tissue (p=0.036), while miR-222 was overexpressed in metastatic lymph nodes (p=0.035). miR-146b was also upregulated in lack of peritumoral lympho cyte infltration (p=0.006). In conclusion, our fndings suggest that the overexpres sion of miR-146b and miR-221 in PTC tissues may be associated with lymph node metastasis and a poorer prognosis. Furthermore, the presence of larger tumors and increased levels of intratumoral fbrosis in non-metastatic PTC patients could indi cate a poor prognosis.

Açıklama

Anahtar Kelimeler

Thyroid, Papillary Carcinoma, Lymph Node Metastasis, Mi-RNA, Prognosis

Kaynak

Biochemical Genetics

WoS Q Değeri

Q3

Scopus Q Değeri

Q2

Cilt

Sayı

Künye

Ergün, P. G., Aydoğan, Ç., Ceviz, A. B., Candan, G., Batur, Ş., Yılmaz Aydoğan, H., Öztürk, O., & Öztürk, T. (2025). Predicting risk of lymph node metastasis in papillary thyroid cancer using miRNAs and clinicopathological features. Biochemical Genetics, https://doi.org/10.1007/s10528-025-11168-2