Literature DB >> 32134428

Incidence and Mortality Risk Spectrum Across Aggressive Variants of Papillary Thyroid Carcinoma.

Allen S Ho1,2, Michael Luu1,3, Laurel Barrios1, Irene Chen1,4, Michelle Melany1,4, Nabilah Ali1,2, Chrysanta Patio1,2, Yufei Chen1,5, Shikha Bose1,6, Xuemo Fan1,6, Jon Mallen-St Clair1,5, Glenn D Braunstein1,7, Wendy L Sacks1,7, Zachary S Zumsteg1,8.   

Abstract

Importance: While well-differentiated papillary thyroid carcinoma (WDPTC) outcomes have been well characterized, the prognostic implications of more aggressive variants are far less defined. The rarity of these subtypes has led to their consolidation as intermediate risk for what are in fact likely heterogeneous diseases. Objective: To analyze incidence, clinicopathologic characteristics, and outcomes for aggressive variants of papillary thyroid carcinoma (PTC). Design, Setting, and Participants: This cohort study used data from 2000 to 2016 from hospital-based and population-based US cancer registries to analyze aggressive PTC variants, including diffuse sclerosing (DSV), tall-cell (TCV), insular, and poorly differentiated (PDTC) subtypes. These variants were compared against WDPTC and anaplastic cases. Data analysis was conducted from January 2019 to October 2019. Main Outcomes and Measures: Age-adjusted incidence was calculated via annual percentage change (APC) using the weighted least-squares method. Overall survival and disease-specific survival were analyzed via Cox regression. Propensity-score matching was used to adjust survival analyses for clinical and demographic covariates.
Results: Collectively, 5447 aggressive PTC variants were identified (including 415 DSV, 3339 TCV, 362 insular, and 1331 PDTC cases), as well as 35 812 WDPTC and 2249 anaplastic cases. Over the study period, a substantial increase in aggressive variant incidence was observed (APC, 9.1 [95% CI, 7.33-10.89]; P < .001), surpassing the relative increases observed in WDPTC (APC, 5.1 [95% CI, 3.98-6.12]; P < .001) and anaplastic cases (APC, 1.9 [95% CI, 0.75-3.05]; P = .003; parallelism P < .007). Survival varied markedly based on histologic subtype, with a wide spectrum of mortality risk noted; 10-year overall survival was 85.4% (95% CI, 84.6%-86.3%) in WDPTC, 79.2% (95% CI, 73.6%-85.3%) in DSV, 71.9% (95% CI, 68.4%-75.6%) in TCV, 45.1% (95% CI, 40.2%-50.6%) in PDTC, 27.9% (95% CI, 20.0%-38.9%) in the insular variant, and 8.9% (95% CI, 7.5%-10.6%) in anaplastic cases (P < .001). These differences largely persisted even after adjusting for inherent differences in baseline characteristics by multivariable Cox regression and propensity-score matching. Conclusions and Relevance: An upsurge in aggressive PTC incidence was observed at a rate beyond that seen in WDPTC or anaplastic thyroid carcinoma. Moreover, long-term survival outcomes for aggressive PTC subgroups exhibit heterogeneous clinical behavior and a wide range of mortality risk, suggesting that treatment should be tailored to specific histologic subtypes. Given increasing prevalence and disparate outcomes, further investigation to identify optimal therapeutic strategies is needed in these diverse, understudied populations.

Entities:  

Year:  2020        PMID: 32134428      PMCID: PMC7059113          DOI: 10.1001/jamaoncol.2019.6851

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  22 in total

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3.  Long noncoding RNA SNHG6 promotes papillary thyroid cancer cells proliferation via regulating miR-186/CDK6 axis.

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4.  Expanded Parameters in Active Surveillance for Low-risk Papillary Thyroid Carcinoma: A Nonrandomized Controlled Trial.

Authors:  Allen S Ho; Sungjin Kim; Cynthia Zalt; Michelle L Melany; Irene E Chen; Joan Vasquez; Jon Mallen-St Clair; Michelle M Chen; Missael Vasquez; Xuemo Fan; Welmoed K van Deen; Robert W Haile; Timothy J Daskivich; Zachary S Zumsteg; Glenn D Braunstein; Wendy L Sacks
Journal:  JAMA Oncol       Date:  2022-09-15       Impact factor: 33.006

5.  Early Diagnosis of Bipolar Disorder Coming Soon: Application of an Oxidative Stress Injury Biomarker (BIOS) Model.

Authors:  Zhiang Niu; Xiaohui Wu; Yuncheng Zhu; Lu Yang; Yifan Shi; Yun Wang; Hong Qiu; Wenjie Gu; Yina Wu; Xiangyun Long; Zheng Lu; Shaohua Hu; Zhijian Yao; Haichen Yang; Tiebang Liu; Yong Xia; Zhiyu Chen; Jun Chen; Yiru Fang
Journal:  Neurosci Bull       Date:  2022-05-19       Impact factor: 5.271

6.  Prognostic Impact of Histologic Grade for Papillary Thyroid Carcinoma.

Authors:  Allen S Ho; Michael Luu; Laurel Barrios; Bonnie L Balzer; Shikha Bose; Xuemo Fan; Evan Walgama; Jon Mallen-St Clair; Usman Alam; Iram Shafqat; De-Chen Lin; Yufei Chen; Jennifer E Van Eyk; Ellie G Maghami; Glenn D Braunstein; Wendy L Sacks; Zachary S Zumsteg
Journal:  Ann Surg Oncol       Date:  2020-08-17       Impact factor: 5.344

7.  Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer.

Authors:  Qiang Li; Sheng Jiang; Tienan Feng; Tengteng Zhu; Biyun Qian
Journal:  Onco Targets Ther       Date:  2021-05-12       Impact factor: 4.147

8.  What is the difference between the tall cell variant and the classic type of papillary thyroid carcinoma on ultrasonography?

Authors:  Haejung Kim; Young Lyun Oh; Jae Hoon Chung; Soo Yeon Hahn; Ko Woon Park; Tae Hyuk Kim; Jung Hee Shin
Journal:  Ultrasonography       Date:  2022-02-21

9.  Predictive Factors for Level V Lymph Node Metastases in Papillary Thyroid Carcinoma with BRAFV600E Mutation and Clinicopathological Features.

Authors:  Gui-You Li; Hai-Long Tan; Pei Chen; Hui-Yu Hu; Mian Liu; Deng-Jie Ou-Yang; Rooh-Afza Khushbu; Deepak Pun; Jin-Dong Li; Zhi-Peng Zhang; Qiong Yang; Peng Huang; Shi Chang
Journal:  Cancer Manag Res       Date:  2020-05-13       Impact factor: 3.989

10.  Influence of Nomenclature Changes on Trends in Papillary Thyroid Cancer Incidence in the United States, 2000 to 2017.

Authors:  Cari M Kitahara; Julie A Sosa; Meredith S Shiels
Journal:  J Clin Endocrinol Metab       Date:  2020-12-01       Impact factor: 5.958

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