Metastatic Lymph Node Ratio for Predicting Recurrence in Medullary Thyroid Cancer

The lymph node ratio (LNR) has been investigated as a prognostic factor in many different types of cancers, including differentiated thyroid cancer; however, reports regarding medullary thyroid cancer (MTC) are limited. Therefore, this study aims to evaluate LNR as a risk factor for structural recur...

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Autores principales: Jinyoung Kim, Jun Park, Hyunju Park, Min Sun Choi, Hye Won Jang, Tae Hyuk Kim, Sun Wook Kim, Jae Hoon Chung
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:1a1f239554f24959925ee599aeb9d6bc2021-11-25T17:04:38ZMetastatic Lymph Node Ratio for Predicting Recurrence in Medullary Thyroid Cancer10.3390/cancers132258422072-6694https://doaj.org/article/1a1f239554f24959925ee599aeb9d6bc2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5842https://doaj.org/toc/2072-6694The lymph node ratio (LNR) has been investigated as a prognostic factor in many different types of cancers, including differentiated thyroid cancer; however, reports regarding medullary thyroid cancer (MTC) are limited. Therefore, this study aims to evaluate LNR as a risk factor for structural recurrence in patients with MTC. Medical records of patients treated for MTC in a single tertiary center between 1995 and 2017 were retrospectively reviewed. LNR is defined as the number of metastatic lymph nodes or lymph node metastases (LNM) divided by the number of retrieved lymph nodes or lymph node yield (LNY). In the survival analysis, recurrence-free survival was defined as the time from the date of total thyroidectomy to recurrence or last follow-up. To identify risk factors influencing structural recurrence, univariable and multivariable Cox proportional hazard models were used. A total of 132 patients were enrolled. The mean age of study participants was 49.7 years, and 86 patients (65%) were women. Structural recurrence was identified in 39 patients at the end of the study period, and the median follow-up period was 8.7 years. In univariable analyses, gross extra thyroidal extension, N stage, postoperative serum calcitonin and carcinoembryonic antigen (CEA) levels, and LNR were significant (<i>p</i> < 0.05) predictors of structural recurrence. In multivariable analysis, postoperative serum calcitonin, postoperative serum CEA, and LNR were identified as a predictor of disease-free survival (<i>p</i> < 0.05). LNR can potentially predict structural recurrence as a quantitative evaluation tool for lymph node metastasis in patients with MTC.Jinyoung KimJun ParkHyunju ParkMin Sun ChoiHye Won JangTae Hyuk KimSun Wook KimJae Hoon ChungMDPI AGarticlethyroid neoplasmsprognosislymph node ratioNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5842, p 5842 (2021)
institution DOAJ
collection DOAJ
language EN
topic thyroid neoplasms
prognosis
lymph node ratio
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle thyroid neoplasms
prognosis
lymph node ratio
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Jinyoung Kim
Jun Park
Hyunju Park
Min Sun Choi
Hye Won Jang
Tae Hyuk Kim
Sun Wook Kim
Jae Hoon Chung
Metastatic Lymph Node Ratio for Predicting Recurrence in Medullary Thyroid Cancer
description The lymph node ratio (LNR) has been investigated as a prognostic factor in many different types of cancers, including differentiated thyroid cancer; however, reports regarding medullary thyroid cancer (MTC) are limited. Therefore, this study aims to evaluate LNR as a risk factor for structural recurrence in patients with MTC. Medical records of patients treated for MTC in a single tertiary center between 1995 and 2017 were retrospectively reviewed. LNR is defined as the number of metastatic lymph nodes or lymph node metastases (LNM) divided by the number of retrieved lymph nodes or lymph node yield (LNY). In the survival analysis, recurrence-free survival was defined as the time from the date of total thyroidectomy to recurrence or last follow-up. To identify risk factors influencing structural recurrence, univariable and multivariable Cox proportional hazard models were used. A total of 132 patients were enrolled. The mean age of study participants was 49.7 years, and 86 patients (65%) were women. Structural recurrence was identified in 39 patients at the end of the study period, and the median follow-up period was 8.7 years. In univariable analyses, gross extra thyroidal extension, N stage, postoperative serum calcitonin and carcinoembryonic antigen (CEA) levels, and LNR were significant (<i>p</i> < 0.05) predictors of structural recurrence. In multivariable analysis, postoperative serum calcitonin, postoperative serum CEA, and LNR were identified as a predictor of disease-free survival (<i>p</i> < 0.05). LNR can potentially predict structural recurrence as a quantitative evaluation tool for lymph node metastasis in patients with MTC.
format article
author Jinyoung Kim
Jun Park
Hyunju Park
Min Sun Choi
Hye Won Jang
Tae Hyuk Kim
Sun Wook Kim
Jae Hoon Chung
author_facet Jinyoung Kim
Jun Park
Hyunju Park
Min Sun Choi
Hye Won Jang
Tae Hyuk Kim
Sun Wook Kim
Jae Hoon Chung
author_sort Jinyoung Kim
title Metastatic Lymph Node Ratio for Predicting Recurrence in Medullary Thyroid Cancer
title_short Metastatic Lymph Node Ratio for Predicting Recurrence in Medullary Thyroid Cancer
title_full Metastatic Lymph Node Ratio for Predicting Recurrence in Medullary Thyroid Cancer
title_fullStr Metastatic Lymph Node Ratio for Predicting Recurrence in Medullary Thyroid Cancer
title_full_unstemmed Metastatic Lymph Node Ratio for Predicting Recurrence in Medullary Thyroid Cancer
title_sort metastatic lymph node ratio for predicting recurrence in medullary thyroid cancer
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/1a1f239554f24959925ee599aeb9d6bc
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AT minsunchoi metastaticlymphnoderatioforpredictingrecurrenceinmedullarythyroidcancer
AT hyewonjang metastaticlymphnoderatioforpredictingrecurrenceinmedullarythyroidcancer
AT taehyukkim metastaticlymphnoderatioforpredictingrecurrenceinmedullarythyroidcancer
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