Quality of Life in Thyroid Cancer is Similar to That of Other Cancers with Worse Survival

Applewhite, Megan K.; James, Benjamin C.; Kaplan, Sharone P.; Angelos, Peter; Kaplan, Edwin L.; Grogan, Raymon H.; Aschebrook‐Kilfoy, Briseis

doi:10.1007/s00268-015-3300-5

Cited by 151 publications

(104 citation statements)

References 40 publications

(51 reference statements)

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“…Despite a 98% 5-year survival rate, a recent study by Applewhite et al found that quality of life of thyroid cancer survivors was worse than expected; it was similar to patients with colon cancer, glioma, and gynecologic cancer, and worse than patients with breast cancer [5]. Furthermore, some cases of well-differentiated thyroid cancer are significantly more aggressive than others, making it difficult to predict a patient's course.…”

Section: Introductionmentioning

confidence: 96%

Thyroid cancer metabolism: A review

Gill¹

2016

Thyroid Disorders Ther

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Metabolic dysregulation within the tumor microenvironment (TME) is critical to the process of tumorigenesis in various cancer types. Thyrocyte metabolism in papillary and anaplastic thyroid cancer, however, remains poorly characterized, and studies analyzing the role of multicompartment metabolism in thyrocyte oncogenesis are sparse. We present a review of the current knowledge on cellular metabolism in non-cancerous and cancerous thyroid tissues, focusing on the monocarboxylate transporters MCT1 and MCT4, and on a transporter of the outer mitochondrial membrane TOMM20. Understanding the metabolic phenotype of tumor cells and associated stromal cells in thyroid cancer can have profound implications on the use of biomarker staining in detecting subclinical cancer, imaging as it relates to expression of various transport proteins, and therapeutic interventions that manipulate this dysregulated tumor metabolism to halt tumorigenesis and eradicate the cancer. Future studies are required to confirm the prognostic significance of these biomarkers and their correlation with existing staging schemas such as the AGES, AMES, ATA and MACIS scoring systems.

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Section: Introductionmentioning

confidence: 96%

Thyroid cancer metabolism: A review

Gill¹

2016

Thyroid Disorders Ther

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“…Survival rates are excellent, but poor quality of life (QoL) outcomes have been reported in this group [2, 3]. Some researchers confirm that QoL in thyroid cancer is similar to that of other cancers with worse survival [4]. One study has shown that some people surviving DTC report fear of recurrences and/or long-term complications, restrictions in daily (social) life, working life, and sexual functioning resulting in deteriorated levels of QoL [5].…”

Section: Introductionmentioning

confidence: 99%

Pictorial Representation of Illness and Self Measure-Revised 2 (PRISM-R2): an effective tool to assess perceived burden of thyroid cancer in mainland China

Fan

Hongbiao

et al. 2018

Support Care Cancer

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PurposeThyroid cancer, especially differentiated thyroid cancer (DTC), is a highly prevalent chronic disease that is known to cause considerable distress, related both to the high recurrence and treatment of the disease. The Pictorial Representation of Illness and Self Measure-Revised 2 (PRISM-R2) has been developed as a visual measure to assess suffering. The aim of this study was to evaluate the ability of the instrument to identify patients with DTC with different levels of suffering who may need additional support care.MethodsParticipants were 338 adult inpatients with DTC who were accepting the radioiodine for remnant ablation in the nuclear medicine department. The assessment tools included the following: (1) the PRISM-R2, yielding Self-Illness Separation (SIS) and Illness Perception Measure (IPM); (2) distress thermometer (DT), a measure of thyroid cancer-related distress; (3) posttraumatic growth inventory (PTGI); (4) 12-item Short-Form health survey (SF-12); and (5) the Supportive Care Needs Survey Short Form (SCNS-SF34). In addition, the content validity of PRISM-R2 was tested using the patients’ comments.ResultsSIS and IPM showed medium intercorrelation (r = −.482; p < 0.01), and both of them showed strongly significant associations with DT. SIS also showed significant correlations with one factor of PTGI (personal strength), four factors of SF-12 (general health, role-emotional, mental health, and vitality), and one factor of SCNS-SF34 (psychological needs). IPM showed significant correlations with five factors of SF-12 and all the factors of SCNS-SF34. No correlation was found between IPM and PTGI.ConclusionsPRISM-R2 is a well-accepted and understandable tool to assess the psychological burden of patients with thyroid cancer in Chinese settings. It may be useful to guide or evaluate the interventions for the patients.

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“…The clinical relevance of these small tumors is the subject of debate among experts in the field and has led to an overarching shift to less aggressive treatment and a primary focus on better risk-stratification [9,27,28]. Moreover, thyroid cancer patients are relatively young at diagnosis and frequently incur substantial associated health care costs as they undergo surveillance and treatment for recurrent disease over a lifetime, experiences that are a detriment to quality of life, and can cause financial hardship [29–32]. Given the excellent survival outcomes and numbers of patients required to be informative, clinical trials are impractical.…”

Section: Discussionmentioning

confidence: 99%

The thyroid cancer policy model: A mathematical simulation model of papillary thyroid carcinoma in The U.S. population

et al. 2017

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BackgroundThyroid cancer affects over ½ million people in the U.S. and the incidence of thyroid cancer has increased worldwide at a rate higher than any other cancer, while survival has remained largely unchanged. The aim of this research was to develop, calibrate and verify a mathematical disease model to simulate the natural history of papillary thyroid cancer, which will serve as a platform to assess the effectiveness of clinical and cancer control interventions.MethodsHerein, we modeled the natural pre-clinical course of both benign and malignant thyroid nodules with biologically relevant health states from normal to detected nodule. Using established calibration techniques, optimal parameter sets for tumor growth characteristics, development rate, and detection rate were used to fit Surveillance Epidemiology and End Results (SEER) incidence data and other calibration targets.ResultsModel outputs compared to calibration targets demonstrating sufficient calibration fit and model validation are presented including primary targets of SEER incidence data and size distribution at detection of malignancy. Additionally, we show the predicted underlying benign and malignant prevalence of nodules in the population, the probability of detection based on size of nodule, and estimates of growth over time in both benign and malignant nodules.ConclusionsThis comprehensive model provides a dynamic platform employable for future comparative effectiveness research. Future model analyses will test and assess various clinical management strategies to improve patient outcomes related to thyroid cancer and optimize resource utilization for patients with thyroid nodules.

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Quality of Life in Thyroid Cancer is Similar to That of Other Cancers with Worse Survival

Cited by 151 publications

References 40 publications

Thyroid cancer metabolism: A review

Thyroid cancer metabolism: A review

Pictorial Representation of Illness and Self Measure-Revised 2 (PRISM-R2): an effective tool to assess perceived burden of thyroid cancer in mainland China

The thyroid cancer policy model: A mathematical simulation model of papillary thyroid carcinoma in The U.S. population

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