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Clinical impact of a cytological screening system using cyclin D1 immunostaining and genomic analysis for the diagnosis of thyroid nodules.

ABSTRACT: BACKGROUND:Fine-needle aspiration (FNA) is the most reliable method for diagnosing thyroid nodules; however, some features such as atypia of undetermined significance or follicular lesion of undetermined significance can confound efforts to identify malignancies. Similar to BRAF, cyclin D1 may be a strong marker of cell proliferation. METHODS:One hundred two patients with thyroidal nodule were enrolled in this prospective study. Expression of cyclin D1 in thyroid nodules was determined by immunohistochemistry using both surgical specimens and their cytological specimens. The identification of the optimal cut off points for the diagnosis of malignancy were evaluated using the receiver operating characteristic (ROC) curves and the assessment of the area under the ROC curve (AUC). The specificity, sensitivity, positive predictive value (PPV) of markers were evaluated from crosstabs based on cut off points and significance were calculated. We also analyzed genetic variants by target NGS for thyroid nodule samples. RESULTS:The positive predictive value (PPV) and median stain ratio (MSR) of cyclin D1 nuclear staining was determined in papillary thyroid carcinoma (PPV?=?91.5%, MSR?=?48.5%), follicular adenoma (PPV?=?66.7%, MSR?=?13.1%), and adenomatous goiter and inflammation controls (MSR?=?3.4%). In FNA samples, a threshold of 46% of immunolabelled cells allows to discriminate malignant lesions from benign ones (P?

SUBMITTER: Teshima M

PROVIDER: S-EPMC6423761 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Clinical impact of a cytological screening system using cyclin D1 immunostaining and genomic analysis for the diagnosis of thyroid nodules.

Teshima Masanori M Tokita Kazuya K Ryo Eijitsu E Matsumoto Fumihiko F Kondo Madoka M Ikegami Yota Y Shinomiya Hirotaka H Otsuki Naoki N Hiraoka Nobuyoshi N Nibu Ken-Ichi KI Yoshimoto Seiichi S Mori Taisuke T

BMC cancer 20190318 1

<h4>Background</h4>Fine-needle aspiration (FNA) is the most reliable method for diagnosing thyroid nodules; however, some features such as atypia of undetermined significance or follicular lesion of undetermined significance can confound efforts to identify malignancies. Similar to BRAF, cyclin D1 may be a strong marker of cell proliferation.<h4>Methods</h4>One hundred two patients with thyroidal nodule were enrolled in this prospective study. Expression of cyclin D1 in thyroid nodules was deter ...[more]

PMID: 30885146

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Project description:ObjectiveThis study assessed the health-related quality of life (HRQoL) in patients undergoing 2-[18F]fluoro-2-deoxy-D-glucose (FDG)-PET/CT for an indeterminate (Bethesda III/IV) thyroid nodule. FDG-PET/CT accurately rules out malignancy and prevents 40% of futile diagnostic surgeries in these nodules.DesignSecondary analyses of HRQoL data from a randomised controlled multicentre trial (NCT02208544) in 126 patients from 15 hospitals in the Netherlands were done.MethodsLongitudinal HRQoL assessment was performed using the EuroQol 5-dimension 5-level (EQ-5D-5L), the RAND 36-item Health Survey v2.0 (RAND-36), and the Thyroid Patient-Reported Outcome (ThyPRO) questionnaire on baseline, 3, 6, and 12 months, relative to the date of the FDG-PET/CT scan.ResultsPatients who were randomised to active surveillance following an FDG-negative nodule instead of diagnostic surgery reported stable HRQoL scores throughout the year. Univariate analysis indicated better HRQoL for patients undergoing surveillance than surgical patients with benign histopathology on multiple physical and psychosocial domains. Univariate within-group analysis suggested both temporary and continued HRQoL deteriorations in patients with benign histopathology over time. Multivariate within-group analysis demonstrated no significant longitudinal HRQoL changes in patients undergoing active surveillance. In contrast, in patients with benign histopathology, worse HRQoL was observed with regard to ThyPRO cognitive impairment (P = 0.01) and cosmetic complaints (P = 0.02), whereas goitre symptoms (P < 0.001) and anxiety (P = 0.04) improved over time. In patients with malignant histopathology, anxiety also decreased (P = 0.05).ConclusionsThe reassurance of a negative FDG-PET/CT resulted in sustained HRQoL throughout the first year of active surveillance. Diagnostic surgery for a nodule with benign histopathology resulted in more cognitive impairment and physical problems including cosmetic complaints, but improved goitre symptoms and anxiety. Anxiety was also reduced in patients with malignant histopathology.

Project description:ImportanceUse of next-generation sequencing of RNA and machine learning algorithms can classify the risk of malignancy in cytologically indeterminate thyroid nodules to limit unnecessary diagnostic surgery.ObjectiveTo measure the performance of a genomic sequencing classifier for cytologically indeterminate thyroid nodules.Design, setting, and participantsA blinded validation study was conducted on a set of cytologically indeterminate thyroid nodules collected by fine-needle aspiration biopsy between June 2009 and December 2010 from 49 academic and community centers in the United States. All patients underwent surgery without genomic information and were assigned a histopathology diagnosis by an expert panel blinded to all genomic information. There were 210 potentially eligible thyroid biopsy samples with Bethesda III or IV indeterminate cytopathology that constituted a cohort previously used to validate the gene expression classifier. Of these, 191 samples (91.0%) had adequate residual RNA for validation of the genomic sequencing classifier. Algorithm development and independent validation occurred between August 2016 and May 2017.ExposuresThyroid nodule surgical histopathology diagnosis by an expert panel blinded to all genomic data.Main outcomes and measuresThe primary end point was measurement of genomic sequencing classifier sensitivity, specificity, and negative and positive predictive values in biopsies from Bethesda III and IV nodules. The secondary end point was measurement of classifier performance in biopsies from Bethesda II, V, and VI nodules.ResultsOf the 183 included patients, 142 (77.6%) were women, and the mean (range) age was 51.7 (22.0-85.0) years. The genomic sequencing classifier had a sensitivity of 91% (95% CI, 79-98) and a specificity of 68% (95% CI, 60-76). At 24% cancer prevalence, the negative predictive value was 96% (95% CI, 90-99) and the positive predictive value was 47% (95% CI, 36-58).Conclusions and relevanceThe genomic sequencing classifier demonstrates high sensitivity and accuracy for identifying benign nodules. Its 36% increase in specificity compared with the gene expression classifier potentially increases the number of patients with benign nodules who can safely avoid unnecessary diagnostic surgery.

Dataset Information

Clinical impact of a cytological screening system using cyclin D1 immunostaining and genomic analysis for the diagnosis of thyroid nodules.

Publications

Clinical impact of a cytological screening system using cyclin D1 immunostaining and genomic analysis for the diagnosis of thyroid nodules.

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