Characteristic tumor growth patterns as novel histomorphologic predictors for lymph node metastasis in papillary thyroid carcinoma

Summary The aim of this study was to investigate the efficaciousness of histological tumor growth patterns in the prediction of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC). All combinations of infiltrative tumor border, lateral tubular growth, and intraglandular dissemination we...

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Bibliographic Details
Published in:Human pathology 2013-12, Vol.44 (12), p.2620-2627
Main Authors: Jung, Yoon Yang, MD, Lee, Chung Hun, MD, Park, So Yeon, MD, PhD, Park, Hyo Jin, MD, PhD, Min, Hye Sook, MD, PhD, Won, Jae Kyung, MD, PhD, Kim, Byung Seup, MD, Ryu, Han Suk, MD, PhD
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Carcinoma, Papillary - genetics
Carcinoma, Papillary - pathology
Carcinoma, Papillary - surgery
Cervical cancer
Confidence intervals
Dissection
Female
Humans
Intraglandular dissemination
Lateral tubular growth
Lymph node metastasis
Lymphatic Metastasis
Lymphatic system
Male
Middle Aged
Mutation
Papillary thyroid carcinoma
Pathology
Patients
Predictive Value of Tests
Prognosis
Proto-Oncogene Proteins B-raf - genetics
Risk Factors
Thyroid cancer
Thyroid Neoplasms - genetics
Thyroid Neoplasms - pathology
Thyroid Neoplasms - surgery
Thyroidectomy
Tumors
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Summary:Summary The aim of this study was to investigate the efficaciousness of histological tumor growth patterns in the prediction of lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC). All combinations of infiltrative tumor border, lateral tubular growth, and intraglandular dissemination were assessed for their ability to predict LNM in 229 patients. In addition, we analyzed their predictive value within subgroups based on the tumor size and number of tumor nodules. Each tumor growth pattern was significantly associated with LNM, as 11 of the 12 combinations of these 3 patterns were found to be independently predictive of LNM ( P < .05). Similar results were observed in both univariate and multivariate logistic regression analyses of PTCs, grouped according to the tumor size and number of tumor nodules. This study has shown that histological features suggestive of invasive tumor growth, including infiltrative tumor border and lateral tubular growth, may be used as independent predictive factors of LNM in PTC, and can improve treatment and follow-up strategies for PTC.
ISSN:0046-8177
1532-8392
DOI:10.1016/j.humpath.2013.07.025