Thyroid Cancer Clinical Trial
Official title:
Safety and Efficacy of Sorafenib in Patients With Advanced Thyroid Cancer: a Phase II Clinical Study
Differentiated thyroid cancer includes papillary, follicular, Hurthle cell, and
C-cell/medullary carcinoma. Even though incidence is relatively low (1% of all neoplasms), a
rise in this disease has been recorded in the country (The Atlas of Cancer Mortality in
Colombia, 2010).
Although this disease has a low rate of attributable mortality, the costs arising from
treatment, monitoring, and disabilities among affected patients and their families are high
for the health system.
The therapeutic approach to differentiated thyroid cancer once it starts progressing is
limited; there are no truly favorable treatment options for patients with advanced thyroid
cancer: available options include surgery, radiotherapy, and radioactive iodine therapy.
Molecular biology now allows the identification of the effects of mutations and alterations
in the proteins that participate in cell signaling which account for dedifferentiation,
invasiveness, and the progression of neoplastic cells.
VEGFR (vascular endothelial growth factor receptor) is one of the main molecules to be
addressed by targeted molecular therapy. Its increased expression in differentiated thyroid
cancer has been demonstrated and has been associated with increased growth, invasiveness, and
shorter recurrence-free survival.
Different agents are effective against this tyrosine kinase receptor; nevertheless, taking
into account that it is not solely responsible for tumor progression, according to clinical
study results, it is more reasonable to use non-selective tyrosine kinase inhibitors such as
sorafenib and motesanib. These inhibitors have already been tested in phase II studies.
Results from recent phase II research studies using these emerging treatment options have
shown important effects in the therapeutic approach to other solid neoplasms.
Information about the safety of this type of treatment is limited; a need for information
regarding the use of new therapeutic approaches in Colombia is one of the contributions that
the National Institute of Cancer can make to the country through this study.
Objective:
Determine the clinical efficacy and safety profile of sorafenib in the treatment of patients
with advanced thyroid cancer (metastatic or recurrent) in a 24 months follow up period.
Analysis plan The analysis plan includes the description of clinical and epidemiological
characteristics of recruited patients at the end of the first year and the before and after
comparison from clinical response according to RECIST criteria. At the end of the first and
second follow-up years, analyses will be performed. In each of these, the response of
patients by outcomes of interest measured at specific monitoring times will be evaluated.
Parametric and non-parametric descriptive statistics will be used as necessary; the
comparison of some variables between baseline measurements and follow-up predetermined
cut-offs will be performed while taking into account the lack of independence between
observations. Analysis of qualitative variables will be performed using McNemar's Test and
the analysis of quantitative variables using the Paired Student's t-Test or Wilcoxon Test
depending on the normality of the distribution
Descriptive statistics will be used for time until events, survival curve and
progression-free time median will be stated. Correlation studies between some indicators,
clinical variables, and observed outcomes using parametric and non-parametric coefficients
will be performed. Interobserver agreement will be evaluated for the reading of diagnostic
images using a Kappa coefficient.
;
Status | Clinical Trial | Phase | |
---|---|---|---|
Recruiting |
NCT05774535 -
Prospective, Observational Study on the Carotid Intima-media Thickness in Patients Undergoing Thyroid Surgery
|
||
Withdrawn |
NCT04224792 -
Effects of Exercise Training on Fatigue in Thyroid Cancer Survivors
|
N/A | |
Completed |
NCT01728623 -
A Study of E7080 in Subjects With Advanced Thyroid Cancer
|
Phase 2 | |
Recruiting |
NCT03175224 -
APL-101 Study of Subjects With NSCLC With c-Met EXON 14 Skip Mutations and c-Met Dysregulation Advanced Solid Tumors
|
Phase 2 | |
Completed |
NCT02911155 -
Cancer and Other Disease Risks in U.S. Nuclear Medicine Technologists
|
||
Recruiting |
NCT05025046 -
NGS-based Thyroscan Genomic Classifier in the Diagnosis of Thyroid Nodules
|
||
Not yet recruiting |
NCT03978351 -
The Role of Midkine in Diagnosis of Thyroid Cancer
|
||
Completed |
NCT02658513 -
Evaluation of Lancet Blood Sampling for Radioiodine Dosimetry in Thyroid Cancer
|
||
Terminated |
NCT02628535 -
Safety Study of MGD009 in B7-H3-expressing Tumors
|
Phase 1 | |
Completed |
NCT02375451 -
Effect of Childhood Radioiodine Therapy on Salivary Function
|
N/A | |
Withdrawn |
NCT01994200 -
Developing and Implementing an Interdisciplinary Team-Based Care Approach (ITCA-ThyCa) for Thyroid Cancer Patients
|
Phase 1/Phase 2 | |
Terminated |
NCT01403324 -
Comparison of Dosimetry After rhTSH or Withdrawal of Thyroid Hormone in Metastatic or Locally Advanced Thyroid Cancer
|
N/A | |
Completed |
NCT00970359 -
Reacquisition of Radioactive Iodine (RAI) Uptake of RAI-Refractory Metastatic Thyroid Cancers by Pretreatment With the Selective MEK Inhibitor AZD6244
|
N/A | |
Completed |
NCT00439478 -
Dental Safety Profile of High-Dose Radioiodine Therapy
|
Phase 4 | |
Completed |
NCT00223158 -
Evaluation Study of L-T3 Utility in the Follow-up of Patients With Thyroid Cancer
|
N/A | |
Active, not recruiting |
NCT04544111 -
PDR001 Combination Therapy for Radioiodine-Refractory Thyroid Cancer
|
Phase 2 | |
Completed |
NCT04876287 -
Salivary dysfuncTion After Radioiodine Treatment
|
||
Recruiting |
NCT06073223 -
Intervention to Decrease Overtreatment of Patients With Low-risk Thyroid Cancer
|
N/A | |
Recruiting |
NCT06037174 -
Comparison of Quality of Life in Patients With Differentiated Thyroid Carcinoma Undergoing Different Surgery
|
||
Recruiting |
NCT04952493 -
Anlotinib or Penpulimab in Combination With RAI for DTC
|
Phase 2 |