Literature DB >> 30048260

The impact of age on thyroid cancer staging.

Hadiza S Kazaure1, Sanziana A Roman2, Julie A Sosa2.   

Abstract

PURPOSE OF REVIEW: Patient age at diagnosis is a well established prognostic factor for thyroid cancer survival; it is included in the American Joint Committee on Cancer (AJCC) thyroid cancer-staging system. This review provides an update on the epidemiology, risk stratification, and staging of differentiated thyroid cancer (DTC), in the context of patient age. RECENT
FINDINGS: In the eighth edition AJCC staging system for DTC, the age cut-point was increased from 45 to 55 years. The appropriate age-cut point remains a subject of debate, as some studies have found a linear association of age and survival, and therefore, questioned the use of an age cut-point in the DTC staging system altogether. Emerging data on the additive role of molecular markers in the compromised survival of older patients with DTC raise the prospect of eventual inclusion of genetic markers in the management of patients and risk-stratification systems.
SUMMARY: DTC staging is evolving. The pathogenesis of the compromised survival of older patients with DTC is complex, multifactorial, and not well understood. Recent advances in molecular testing are promising. More studies are needed prior to the formal inclusion of molecular markers in the staging system of DTC.

Entities:  

Mesh:

Year:  2018        PMID: 30048260     DOI: 10.1097/MED.0000000000000430

Source DB:  PubMed          Journal:  Curr Opin Endocrinol Diabetes Obes        ISSN: 1752-296X            Impact factor:   3.243


  7 in total

Review 1.  Aging and cancer epigenetics: Where do the paths fork?

Authors:  Raúl Fernández Pérez; Juan Ramón Tejedor; Agustín Fernández Fernández; Mario Fernández Fraga
Journal:  Aging Cell       Date:  2022-09-14       Impact factor: 11.005

2.  Machine learning for the prediction of bone metastasis in patients with newly diagnosed thyroid cancer.

Authors:  Wen-Cai Liu; Zhi-Qiang Li; Zhi-Wen Luo; Wei-Jie Liao; Zhi-Li Liu; Jia-Ming Liu
Journal:  Cancer Med       Date:  2021-03-12       Impact factor: 4.452

3.  The age threshold of the 8th edition AJCC classification is useful for indicating patients with aggressive papillary thyroid cancer in clinical practice.

Authors:  Krzysztof Kaliszewski; Dorota Diakowska; Łukasz Nowak; Beata Wojtczak; Jerzy Rudnicki
Journal:  BMC Cancer       Date:  2020-11-30       Impact factor: 4.430

4.  Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway.

Authors:  Chakit Arora; Dilraj Kaur; Leimarembi Devi Naorem; Gajendra P S Raghava
Journal:  PLoS One       Date:  2021-11-12       Impact factor: 3.240

5.  Factors affecting the health-promoting behavior of thyroid cancer survivors: comparison by stage of cancer survivorship.

Authors:  Kyung Ah Park; Sanghee Kim; Eui Geum Oh; Heejung Kim; Hang-Seok Chang; Soo Hyun Kim
Journal:  Support Care Cancer       Date:  2022-01-08       Impact factor: 3.359

6.  Identifying key genes of classic papillary thyroid cancer in women aged more than 55 years old using bioinformatics analysis.

Authors:  Chang-Chun Li; Muhammad Hasnain Ehsan Ullah; Xiao Lin; Su-Kang Shan; Bei Guo; Ming-Hui Zheng; Yi Wang; Fuxingzi Li; Ling-Qing Yuan
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-02       Impact factor: 6.055

7.  Age Influences the Prognosis of Anaplastic Thyroid Cancer Patients.

Authors:  Na Kong; Qiqi Xu; Ziqin Zhang; Aimin Cui; Shen Tan; Nan Bai
Journal:  Front Endocrinol (Lausanne)       Date:  2021-07-27       Impact factor: 5.555

  7 in total

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