Lymph node ratio is superior to AJCC N stage for predicting recurrence in papillary thyroid carcinoma.

ATA risk category lymph node ratio lymph node stage papillary thyroid carcinoma recurrence

Journal

Endocrine connections
ISSN: 2049-3614
Titre abrégé: Endocr Connect
Pays: England
ID NLM: 101598413

Informations de publication

Date de publication:
16 Feb 2022
Historique:
received: 21 12 2021
accepted: 19 01 2022
pubmed: 20 1 2022
medline: 20 1 2022
entrez: 19 1 2022
Statut: epublish

Résumé

Recently, lymph node ratio (LNR) has emerged as an alternative to American Joint Committee on Cancer (AJCC) N stage, with superior prognostic value. The utility of LNR in Middle Eastern papillary thyroid carcinoma (PTC) remains unknown. Therefore, we retrospectively analyzed a large cohort of 1407 PTC patients for clinicopathological associations of LNR. Receiver operating characteristics (ROC) curve was used to determine the cut-off for LNR. We also performed multivariate logistic regression analysis to determine whether LNR or AJCC N stage was superior in predicting recurrence in PTC. Based on ROC curve analysis, a cut-off of 0.15 was chosen for LNR. High LNR was significantly associated with adverse clinicopathological characteristics such as male sex, extrathyroidal extension, lymphovascular invasion, multifocality, bilateral tumors, T4 tumors, lateral lymph node (N1b) involvement, distant metastasis, advanced tumor stage, American Thyroid Association (ATA) high-risk category and tumor recurrence. On multivariate analysis, we found that LNR was a better predictor of tumor recurrence than AJCC N stage (odds ratio: 1.96 vs 1.30; P value: 0.0184 vs 0.3831). We also found that LNR combined with TNM stage and ATA risk category improved the prediction of recurrence-free survival, compared to TNM stage or ATA risk category alone. The present study suggests LNR is an independent predictor of recurrence in Middle Eastern PTC. Integration of LNR with 8th edition AJCC TNM staging system and ATA risk stratification will improve the accuracy to predict recurrence in Middle Eastern PTC and help in tailoring treatment and surveillance strategies in these patients.

Identifiants

pubmed: 35044932
doi: 10.1530/EC-21-0518
pii: e210518
pmc: PMC8859938
doi:
pii:

Types de publication

Journal Article

Langues

eng

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Auteurs

Sandeep Kumar Parvathareddy (SK)

Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.

Abdul K Siraj (AK)

Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.

Zeeshan Qadri (Z)

Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.

Saeeda O Ahmed (SO)

Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.

Felisa DeVera (F)

Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.

Saif Al-Sobhi (S)

Department of Surgery, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.

Fouad Al-Dayel (F)

Department of Pathology, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.

Khawla S Al-Kuraya (KS)

Human Cancer Genomic Research, Research Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.

Classifications MeSH